2025-10-10T00:34:00.1125935Z Current runner version: '2.328.0'
2025-10-10T00:34:00.1131786Z Runner name: 'i-0d064727453429bc6'
2025-10-10T00:34:00.1132477Z Runner group name: 'default'
2025-10-10T00:34:00.1133578Z Machine name: 'ip-10-0-48-91'
2025-10-10T00:34:00.1136330Z ##[group]GITHUB_TOKEN Permissions
2025-10-10T00:34:00.1138691Z Contents: read
2025-10-10T00:34:00.1139227Z Metadata: read
2025-10-10T00:34:00.1139719Z ##[endgroup]
2025-10-10T00:34:00.1142046Z Secret source: Actions
2025-10-10T00:34:00.1142968Z Prepare workflow directory
2025-10-10T00:34:00.1578828Z Prepare all required actions
2025-10-10T00:34:00.1615058Z Getting action download info
2025-10-10T00:34:00.5019741Z Download action repository 'pytorch/test-infra@main' (SHA:264eed5d70b428e3aa5c1a7c98e4330f866e183f)
2025-10-10T00:34:01.9808359Z Download action repository 'pytorch/pytorch@main' (SHA:a6fa4f9c283971c0fb6f60a89674a1f35370ac79)
2025-10-10T00:34:17.2405099Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-10-10T00:34:17.5808476Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-10-10T00:34:17.8525819Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-10-10T00:34:18.0238799Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-10-10T00:34:18.2966524Z Getting action download info
2025-10-10T00:34:18.4296850Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-10-10T00:34:18.6561418Z Getting action download info
2025-10-10T00:34:18.7755048Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-10-10T00:34:19.0405027Z Getting action download info
2025-10-10T00:34:19.1499084Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-10-10T00:34:19.3291636Z Getting action download info
2025-10-10T00:34:19.4848627Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (344e6365a0068c2d2847fcec0c55dd53291d475e)
2025-10-10T00:34:19.4852290Z ##[group] Inputs
2025-10-10T00:34:19.4852680Z   build-environment: linux-jammy-py3.10-gcc11-build
2025-10-10T00:34:19.4854727Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:34:19.4857046Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:34:19.4857760Z   sync-tag: 
2025-10-10T00:34:19.4858608Z   timeout-minutes: 240
2025-10-10T00:34:19.4858907Z   use-gha: 
2025-10-10T00:34:19.4859183Z   dashboard-tag: 
2025-10-10T00:34:19.4859441Z   s3-bucket: gha-artifacts
2025-10-10T00:34:19.4859741Z   aws-role-to-assume: 
2025-10-10T00:34:19.4860255Z   disable-monitor: false
2025-10-10T00:34:19.4860582Z   monitor-log-interval: 5
2025-10-10T00:34:19.4861117Z   monitor-data-collect-interval: 1
2025-10-10T00:34:19.4861546Z ##[endgroup]
2025-10-10T00:34:19.4862007Z Complete job name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:34:19.5372158Z A job started hook has been configured by the self-hosted runner administrator
2025-10-10T00:34:19.5460092Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-10-10T00:34:19.5468210Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:34:19.5468730Z ##[endgroup]
2025-10-10T00:34:20.5552802Z Runner Type: linux.8xlarge.amx
2025-10-10T00:34:20.5553447Z Instance Type: m7i-flex.8xlarge
2025-10-10T00:34:20.5553798Z AMI Name: unknown
2025-10-10T00:34:20.5582341Z AMI ID: ami-08982f1c5bf93d976
2025-10-10T00:34:25.1501684Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-10-10T00:34:25.1502013Z with:
2025-10-10T00:34:25.1502607Z   github-secret: ***
2025-10-10T00:34:25.1503092Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-10-10T00:34:25.1503615Z   activate-with-label: false
2025-10-10T00:34:25.1503827Z   label: with-ssh
2025-10-10T00:34:25.1504008Z   remove-existing-keys: true
2025-10-10T00:34:25.1504208Z   fail-silently: true
2025-10-10T00:34:25.1504406Z env:
2025-10-10T00:34:25.1504569Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:34:25.1504768Z ##[endgroup]
2025-10-10T00:34:25.2551691Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-10-10T00:34:25.2555060Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-10-10T00:34:25.2694670Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-10-10T00:34:25.2695026Z with:
2025-10-10T00:34:25.2695208Z   no-sudo: true
2025-10-10T00:34:25.2695399Z   submodules: recursive
2025-10-10T00:34:25.2695601Z   fetch-depth: 0
2025-10-10T00:34:25.2695780Z env:
2025-10-10T00:34:25.2695952Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:34:25.2696176Z ##[endgroup]
2025-10-10T00:34:25.2771259Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:34:25.2771946Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:34:25.2781109Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:34:25.2781385Z env:
2025-10-10T00:34:25.2781591Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:34:25.2781827Z ##[endgroup]
2025-10-10T00:34:25.2872985Z ##[group]Run # Use all available CPUs for fetching
2025-10-10T00:34:25.2873338Z # Use all available CPUs for fetching
2025-10-10T00:34:25.2873583Z cd "${GITHUB_WORKSPACE}"
2025-10-10T00:34:25.2873822Z git config --global fetch.parallel 0
2025-10-10T00:34:25.2874098Z git config --global submodule.fetchJobs 0
2025-10-10T00:34:25.2874334Z 
2025-10-10T00:34:25.2874602Z # Clean workspace. The default checkout action should also do this, but
2025-10-10T00:34:25.2874917Z # do it here as well just in case
2025-10-10T00:34:25.2875150Z if [[ -d .git ]]; then
2025-10-10T00:34:25.2875372Z   if [ -z "${NO_SUDO}" ]; then
2025-10-10T00:34:25.2875596Z     sudo git clean -ffdx
2025-10-10T00:34:25.2875794Z   else
2025-10-10T00:34:25.2875971Z     git clean -ffdx
2025-10-10T00:34:25.2876160Z   fi
2025-10-10T00:34:25.2876316Z fi
2025-10-10T00:34:25.2881119Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:34:25.2881390Z env:
2025-10-10T00:34:25.2881663Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:34:25.2881879Z   NO_SUDO: true
2025-10-10T00:34:25.2882052Z ##[endgroup]
2025-10-10T00:34:25.2999241Z ##[group]Run actions/checkout@v4
2025-10-10T00:34:25.2999499Z with:
2025-10-10T00:34:25.2999696Z   ref: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:34:25.3000131Z   fetch-depth: 0
2025-10-10T00:34:25.3000333Z   submodules: recursive
2025-10-10T00:34:25.3000546Z   show-progress: false
2025-10-10T00:34:25.3000755Z   repository: pytorch/pytorch
2025-10-10T00:34:25.3001106Z   token: ***
2025-10-10T00:34:25.3001289Z   ssh-strict: true
2025-10-10T00:34:25.3001478Z   ssh-user: git
2025-10-10T00:34:25.3001671Z   persist-credentials: true
2025-10-10T00:34:25.3001890Z   clean: true
2025-10-10T00:34:25.3002104Z   sparse-checkout-cone-mode: true
2025-10-10T00:34:25.3002338Z   fetch-tags: false
2025-10-10T00:34:25.3002520Z   lfs: false
2025-10-10T00:34:25.3002716Z   set-safe-directory: true
2025-10-10T00:34:25.3002940Z env:
2025-10-10T00:34:25.3003121Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:34:25.3003319Z ##[endgroup]
2025-10-10T00:34:25.3963899Z Syncing repository: pytorch/pytorch
2025-10-10T00:34:25.3965060Z ##[group]Getting Git version info
2025-10-10T00:34:25.3965409Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-10-10T00:34:25.3965898Z [command]/usr/bin/git version
2025-10-10T00:34:25.3966147Z git version 2.50.1
2025-10-10T00:34:25.3981319Z ##[endgroup]
2025-10-10T00:34:25.3991712Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/9f5fc6f2-bc89-415f-ac3e-12b8ea8bd7cb/.gitconfig'
2025-10-10T00:34:25.4025439Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/9f5fc6f2-bc89-415f-ac3e-12b8ea8bd7cb' before making global git config changes
2025-10-10T00:34:25.4026157Z Adding repository directory to the temporary git global config as a safe directory
2025-10-10T00:34:25.4042700Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:34:25.4075705Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-10-10T00:34:25.4078565Z ##[group]Initializing the repository
2025-10-10T00:34:25.4082436Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:34:25.4113910Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-10-10T00:34:25.4114582Z hint: is subject to change. To configure the initial branch name to use in all
2025-10-10T00:34:25.4114983Z hint: of your new repositories, which will suppress this warning, call:
2025-10-10T00:34:25.4115688Z hint:
2025-10-10T00:34:25.4115943Z hint: 	git config --global init.defaultBranch <name>
2025-10-10T00:34:25.4116191Z hint:
2025-10-10T00:34:25.4116433Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-10-10T00:34:25.4116823Z hint: 'development'. The just-created branch can be renamed via this command:
2025-10-10T00:34:25.4117111Z hint:
2025-10-10T00:34:25.4117283Z hint: 	git branch -m <name>
2025-10-10T00:34:25.4117476Z hint:
2025-10-10T00:34:25.4117745Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-10-10T00:34:25.4118205Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-10-10T00:34:25.4128922Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-10-10T00:34:25.4154678Z ##[endgroup]
2025-10-10T00:34:25.4155059Z ##[group]Disabling automatic garbage collection
2025-10-10T00:34:25.4157487Z [command]/usr/bin/git config --local gc.auto 0
2025-10-10T00:34:25.4184641Z ##[endgroup]
2025-10-10T00:34:25.4184981Z ##[group]Setting up auth
2025-10-10T00:34:25.4193084Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-10-10T00:34:25.4218618Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-10-10T00:34:25.4524603Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-10-10T00:34:25.4551506Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-10-10T00:34:25.4850786Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-10-10T00:34:25.4907515Z ##[endgroup]
2025-10-10T00:34:25.4907951Z ##[group]Fetching the repository
2025-10-10T00:34:25.4914585Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-10-10T00:35:14.1794681Z From https://github.com/pytorch/pytorch
2025-10-10T00:35:14.1796127Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-10-10T00:35:14.1800932Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-10-10T00:35:14.1806632Z  * [new branch]              BootcampDynamo              -> origin/BootcampDynamo
2025-10-10T00:35:14.1807127Z  * [new branch]              DynamoFixGit                -> origin/DynamoFixGit
2025-10-10T00:35:14.1807497Z  * [new branch]              DynamoVariaT                -> origin/DynamoVariaT
2025-10-10T00:35:14.1807911Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-10-10T00:35:14.1808307Z  * [new branch]              ISSUE-154849                -> origin/ISSUE-154849
2025-10-10T00:35:14.1808668Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-10-10T00:35:14.1809044Z  * [new branch]              IvanKobzarev/stack/2        -> origin/IvanKobzarev/stack/2
2025-10-10T00:35:14.1809808Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-10-10T00:35:14.1810205Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-10-10T00:35:14.1810643Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-10-10T00:35:14.1811047Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-10-10T00:35:14.1811428Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-10-10T00:35:14.1811782Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-10-10T00:35:14.1812153Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-10-10T00:35:14.1812514Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-10-10T00:35:14.1812901Z  * [new branch]              actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor
2025-10-10T00:35:14.1813727Z  * [new branch]              add_compile_benchmarking    -> origin/add_compile_benchmarking
2025-10-10T00:35:14.1814078Z  * [new branch]              add_op_tests                -> origin/add_op_tests
2025-10-10T00:35:14.1814406Z  * [new branch]              add_op_to_dashboard         -> origin/add_op_to_dashboard
2025-10-10T00:35:14.1814763Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-10-10T00:35:14.1815135Z  * [new branch]              addremovefunction           -> origin/addremovefunction
2025-10-10T00:35:14.1815483Z  * [new branch]              addvllmtest                 -> origin/addvllmtest
2025-10-10T00:35:14.1815806Z  * [new branch]              adi/test                    -> origin/adi/test
2025-10-10T00:35:14.1816141Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-10-10T00:35:14.1816504Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-10-10T00:35:14.1816838Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-10-10T00:35:14.1817274Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-10-10T00:35:14.1817624Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-10-10T00:35:14.1817966Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-10-10T00:35:14.1818445Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-10-10T00:35:14.1818824Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-10-10T00:35:14.1819225Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-10-10T00:35:14.1819575Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-10-10T00:35:14.1819982Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-10-10T00:35:14.1820457Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-10-10T00:35:14.1826428Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-10-10T00:35:14.1828559Z  * [new branch]              angelayi/benchmark3         -> origin/angelayi/benchmark3
2025-10-10T00:35:14.1829212Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-10-10T00:35:14.1833884Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-10-10T00:35:14.1838575Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-10-10T00:35:14.1839003Z  * [new branch]              angelayi/fix_mps            -> origin/angelayi/fix_mps
2025-10-10T00:35:14.1839357Z  * [new branch]              angelayi/lint               -> origin/angelayi/lint
2025-10-10T00:35:14.1839710Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-10-10T00:35:14.1840273Z  * [new branch]              angelayi/opaque_obj_v2      -> origin/angelayi/opaque_obj_v2
2025-10-10T00:35:14.1840662Z  * [new branch]              angelayi/pattern            -> origin/angelayi/pattern
2025-10-10T00:35:14.1841021Z  * [new branch]              angelayi/pattern_in_out_2   -> origin/angelayi/pattern_in_out_2
2025-10-10T00:35:14.1841401Z  * [new branch]              angelayi/post_grad          -> origin/angelayi/post_grad
2025-10-10T00:35:14.1841745Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-10-10T00:35:14.1842094Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-10-10T00:35:14.1842457Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
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2025-10-10T00:35:14.6470301Z  * [new branch]              xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451
2025-10-10T00:35:14.6470437Z  * [new branch]              xmfan/ca_scalar             -> origin/xmfan/ca_scalar
2025-10-10T00:35:14.6470607Z  * [new branch]              xmfan/ca_subclass_mem_fix   -> origin/xmfan/ca_subclass_mem_fix
2025-10-10T00:35:14.6470743Z  * [new branch]              xmfan/ca_warm_mem           -> origin/xmfan/ca_warm_mem
2025-10-10T00:35:14.6470897Z  * [new branch]              xmfan/ca_warm_mem_base      -> origin/xmfan/ca_warm_mem_base
2025-10-10T00:35:14.6471180Z  * [new branch]              xmfan/cacu_jun18            -> origin/xmfan/cacu_jun18
2025-10-10T00:35:14.6471323Z  * [new branch]              xmfan/cacu_jun19            -> origin/xmfan/cacu_jun19
2025-10-10T00:35:14.6471462Z  * [new branch]              xmfan/cacu_jun4             -> origin/xmfan/cacu_jun4
2025-10-10T00:35:14.6471599Z  * [new branch]              xmfan/cacu_may27            -> origin/xmfan/cacu_may27
2025-10-10T00:35:14.6474694Z  * [new branch]              xmfan/disable_duck_shape    -> origin/xmfan/disable_duck_shape
2025-10-10T00:35:14.6474911Z  * [new branch]              xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough
2025-10-10T00:35:14.6475345Z  * [new branch]              xmfan/issue_123374          -> origin/xmfan/issue_123374
2025-10-10T00:35:14.6475663Z  * [new branch]              xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9
2025-10-10T00:35:14.6475982Z  * [new branch]              xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9
2025-10-10T00:35:14.6478783Z  * [new branch]              xmfan/single_step           -> origin/xmfan/single_step
2025-10-10T00:35:14.6478937Z  * [new branch]              xmfan/sth_0829              -> origin/xmfan/sth_0829
2025-10-10T00:35:14.6479066Z  * [new branch]              xmfan/test                  -> origin/xmfan/test
2025-10-10T00:35:14.6479254Z  * [new branch]              yguo/debug-0226-constexpr   -> origin/yguo/debug-0226-constexpr
2025-10-10T00:35:14.6479551Z  * [new branch]              yguo/new_latest_changes     -> origin/yguo/new_latest_changes
2025-10-10T00:35:14.6482684Z  * [new branch]              yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes
2025-10-10T00:35:14.6482886Z  * [new branch]              yihan_quantization          -> origin/yihan_quantization
2025-10-10T00:35:14.6483088Z  * [new branch]              yiming/bootcamp             -> origin/yiming/bootcamp
2025-10-10T00:35:14.6483304Z  * [new branch]              yiming/improve_sharding_error_msg -> origin/yiming/improve_sharding_error_msg
2025-10-10T00:35:14.6483588Z  * [new branch]              yiming/precompile_benchmark -> origin/yiming/precompile_benchmark
2025-10-10T00:35:14.6488361Z  * [new branch]              yolo-llama3                 -> origin/yolo-llama3
2025-10-10T00:35:14.6488622Z  * [new branch]              ysiraichi/install-fmtlib-headers-v12 -> origin/ysiraichi/install-fmtlib-headers-v12
2025-10-10T00:35:14.6488792Z  * [new branch]              zainr/canary-test           -> origin/zainr/canary-test
2025-10-10T00:35:14.6488980Z  * [new branch]              zainr/cleanup-gh-runners    -> origin/zainr/cleanup-gh-runners
2025-10-10T00:35:14.6489156Z  * [new branch]              zainr/pull-migration-c      -> origin/zainr/pull-migration-c
2025-10-10T00:35:14.6489292Z  * [new branch]              zainr/test2                 -> origin/zainr/test2
2025-10-10T00:35:14.6489435Z  * [new branch]              zainr/unstable              -> origin/zainr/unstable
2025-10-10T00:35:14.6490742Z  * [new branch]              zasdfgbnm-patch-3           -> origin/zasdfgbnm-patch-3
2025-10-10T00:35:14.6491202Z  * [new branch]              zb2p                        -> origin/zb2p
2025-10-10T00:35:14.6492383Z  * [new branch]              zeros-and-scatter-part2     -> origin/zeros-and-scatter-part2
2025-10-10T00:35:14.6494504Z  * [new branch]              zhxchen17/aot_compile_fix_load_guard_manager -> origin/zhxchen17/aot_compile_fix_load_guard_manager
2025-10-10T00:35:14.6494832Z  * [new branch]              zhxchen17/precompile/source_info -> origin/zhxchen17/precompile/source_info
2025-10-10T00:35:14.6495001Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-10-10T00:35:14.6497567Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-10-10T00:35:14.6498268Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-10-10T00:35:14.6498457Z  * [new branch]              zxiiro/c7i-docs             -> origin/zxiiro/c7i-docs
2025-10-10T00:35:14.6498926Z  * [new branch]              zxiiro/c7i-linux-4xlarge    -> origin/zxiiro/c7i-linux-4xlarge
2025-10-10T00:35:14.6503110Z  * [new branch]              zxiiro/c7i-linux-build-yaml -> origin/zxiiro/c7i-linux-build-yaml
2025-10-10T00:35:14.6503452Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-10-10T00:35:14.6503690Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-10-10T00:35:14.6504028Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-10-10T00:35:14.6504155Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-10-10T00:35:14.6504355Z  * [new tag]                 ciflow/b200-symm-mem/163767 -> ciflow/b200-symm-mem/163767
2025-10-10T00:35:14.6504722Z  * [new tag]                 ciflow/b200/163955          -> ciflow/b200/163955
2025-10-10T00:35:14.6505643Z  * [new tag]                 ciflow/binaries/157432      -> ciflow/binaries/157432
2025-10-10T00:35:14.6505882Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-10-10T00:35:14.6508719Z  * [new tag]                 ciflow/binaries/164769      -> ciflow/binaries/164769
2025-10-10T00:35:14.6509014Z  * [new tag]                 ciflow/binaries/164894      -> ciflow/binaries/164894
2025-10-10T00:35:14.6509435Z  * [new tag]                 ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432
2025-10-10T00:35:14.6509598Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-10-10T00:35:14.6509760Z  * [new tag]                 ciflow/binaries_wheel/159104 -> ciflow/binaries_wheel/159104
2025-10-10T00:35:14.6509988Z  * [new tag]                 ciflow/binaries_wheel/164935 -> ciflow/binaries_wheel/164935
2025-10-10T00:35:14.6510511Z  * [new tag]                 ciflow/h100-cutlass-backend/163767 -> ciflow/h100-cutlass-backend/163767
2025-10-10T00:35:14.6510948Z  * [new tag]                 ciflow/h100-cutlass-backend/164747 -> ciflow/h100-cutlass-backend/164747
2025-10-10T00:35:14.6511493Z  * [new tag]                 ciflow/h100-distributed/163767 -> ciflow/h100-distributed/163767
2025-10-10T00:35:14.6512355Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-10-10T00:35:14.6512541Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-10-10T00:35:14.6515368Z  * [new tag]                 ciflow/h100-symm-mem/163767 -> ciflow/h100-symm-mem/163767
2025-10-10T00:35:14.6515542Z  * [new tag]                 ciflow/h100-symm-mem/164747 -> ciflow/h100-symm-mem/164747
2025-10-10T00:35:14.6515688Z  * [new tag]                 ciflow/h100-symm-mem/164965 -> ciflow/h100-symm-mem/164965
2025-10-10T00:35:14.6515841Z  * [new tag]                 ciflow/h100-symm-mem/165101 -> ciflow/h100-symm-mem/165101
2025-10-10T00:35:14.6515963Z  * [new tag]                 ciflow/h100/163955          -> ciflow/h100/163955
2025-10-10T00:35:14.6516089Z  * [new tag]                 ciflow/h100/164474          -> ciflow/h100/164474
2025-10-10T00:35:14.6516254Z  * [new tag]                 ciflow/h100/164705          -> ciflow/h100/164705
2025-10-10T00:35:14.6516687Z  * [new tag]                 ciflow/h100/164790          -> ciflow/h100/164790
2025-10-10T00:35:14.6518078Z  * [new tag]                 ciflow/h100/164930          -> ciflow/h100/164930
2025-10-10T00:35:14.6518238Z  * [new tag]                 ciflow/h100/165055          -> ciflow/h100/165055
2025-10-10T00:35:14.6518705Z  * [new tag]                 ciflow/inductor-micro-benchmark/164747 -> ciflow/inductor-micro-benchmark/164747
2025-10-10T00:35:14.6519786Z  * [new tag]                 ciflow/inductor-perf-compare/163767 -> ciflow/inductor-perf-compare/163767
2025-10-10T00:35:14.6520204Z  * [new tag]                 ciflow/inductor-perf-compare/164747 -> ciflow/inductor-perf-compare/164747
2025-10-10T00:35:14.6520501Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-10-10T00:35:14.6520847Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/164747 -> ciflow/inductor-perf-test-nightly-rocm/164747
2025-10-10T00:35:14.6521326Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512
2025-10-10T00:35:14.6521896Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/162954 -> ciflow/inductor-perf-test-nightly-x86-zen/162954
2025-10-10T00:35:14.6522249Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/163767 -> ciflow/inductor-perf-test-nightly-x86-zen/163767
2025-10-10T00:35:14.6522749Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164126 -> ciflow/inductor-perf-test-nightly-x86-zen/164126
2025-10-10T00:35:14.6523253Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164747 -> ciflow/inductor-perf-test-nightly-x86-zen/164747
2025-10-10T00:35:14.6524019Z  * [new tag]                 ciflow/inductor-periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> ciflow/inductor-periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:35:14.6524413Z  * [new tag]                 ciflow/inductor-periodic/156592 -> ciflow/inductor-periodic/156592
2025-10-10T00:35:14.6527617Z  * [new tag]                 ciflow/inductor-periodic/164492 -> ciflow/inductor-periodic/164492
2025-10-10T00:35:14.6528045Z  * [new tag]                 ciflow/inductor-periodic/73adac05d13babb75410c3e033fdce57aa16881a -> ciflow/inductor-periodic/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:35:14.6528210Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-10-10T00:35:14.6528358Z  * [new tag]                 ciflow/inductor-rocm/161280 -> ciflow/inductor-rocm/161280
2025-10-10T00:35:14.6528526Z  * [new tag]                 ciflow/inductor-rocm/162478 -> ciflow/inductor-rocm/162478
2025-10-10T00:35:14.6528663Z  * [new tag]                 ciflow/inductor-rocm/163767 -> ciflow/inductor-rocm/163767
2025-10-10T00:35:14.6528984Z  * [new tag]                 ciflow/inductor-rocm/164618 -> ciflow/inductor-rocm/164618
2025-10-10T00:35:14.6529277Z  * [new tag]                 ciflow/inductor-rocm/164747 -> ciflow/inductor-rocm/164747
2025-10-10T00:35:14.6529567Z  * [new tag]                 ciflow/inductor-rocm/164769 -> ciflow/inductor-rocm/164769
2025-10-10T00:35:14.6529951Z  * [new tag]                 ciflow/inductor-rocm/165080 -> ciflow/inductor-rocm/165080
2025-10-10T00:35:14.6530814Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-10-10T00:35:14.6531435Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-10-10T00:35:14.6531858Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-10-10T00:35:14.6532003Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-10-10T00:35:14.6532400Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-10-10T00:35:14.6533229Z  * [new tag]                 ciflow/inductor/149003      -> ciflow/inductor/149003
2025-10-10T00:35:14.6533379Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-10-10T00:35:14.6533817Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-10-10T00:35:14.6534594Z  * [new tag]                 ciflow/inductor/156592      -> ciflow/inductor/156592
2025-10-10T00:35:14.6534751Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-10-10T00:35:14.6538551Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-10-10T00:35:14.6539109Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-10-10T00:35:14.6539247Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-10-10T00:35:14.6539367Z  * [new tag]                 ciflow/inductor/158872      -> ciflow/inductor/158872
2025-10-10T00:35:14.6539487Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-10-10T00:35:14.6539612Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-10-10T00:35:14.6539739Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-10-10T00:35:14.6539928Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-10-10T00:35:14.6541726Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-10-10T00:35:14.6542192Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-10-10T00:35:14.6542354Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-10-10T00:35:14.6542581Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-10-10T00:35:14.6547957Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-10-10T00:35:14.6548248Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-10-10T00:35:14.6548408Z  * [new tag]                 ciflow/inductor/160843      -> ciflow/inductor/160843
2025-10-10T00:35:14.6548641Z  * [new tag]                 ciflow/inductor/160903      -> ciflow/inductor/160903
2025-10-10T00:35:14.6549083Z  * [new tag]                 ciflow/inductor/161118      -> ciflow/inductor/161118
2025-10-10T00:35:14.6549239Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-10-10T00:35:14.6549419Z  * [new tag]                 ciflow/inductor/161280      -> ciflow/inductor/161280
2025-10-10T00:35:14.6549562Z  * [new tag]                 ciflow/inductor/161320      -> ciflow/inductor/161320
2025-10-10T00:35:14.6549706Z  * [new tag]                 ciflow/inductor/161485      -> ciflow/inductor/161485
2025-10-10T00:35:14.6549840Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-10-10T00:35:14.6549966Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-10-10T00:35:14.6550097Z  * [new tag]                 ciflow/inductor/162031      -> ciflow/inductor/162031
2025-10-10T00:35:14.6550221Z  * [new tag]                 ciflow/inductor/162066      -> ciflow/inductor/162066
2025-10-10T00:35:14.6550353Z  * [new tag]                 ciflow/inductor/162294      -> ciflow/inductor/162294
2025-10-10T00:35:14.6550768Z  * [new tag]                 ciflow/inductor/162340      -> ciflow/inductor/162340
2025-10-10T00:35:14.6550955Z  * [new tag]                 ciflow/inductor/162470      -> ciflow/inductor/162470
2025-10-10T00:35:14.6551682Z  * [new tag]                 ciflow/inductor/162523      -> ciflow/inductor/162523
2025-10-10T00:35:14.6552038Z  * [new tag]                 ciflow/inductor/162542      -> ciflow/inductor/162542
2025-10-10T00:35:14.6552478Z  * [new tag]                 ciflow/inductor/162768      -> ciflow/inductor/162768
2025-10-10T00:35:14.6553014Z  * [new tag]                 ciflow/inductor/162899      -> ciflow/inductor/162899
2025-10-10T00:35:14.6553477Z  * [new tag]                 ciflow/inductor/162900      -> ciflow/inductor/162900
2025-10-10T00:35:14.6553894Z  * [new tag]                 ciflow/inductor/162901      -> ciflow/inductor/162901
2025-10-10T00:35:14.6558166Z  * [new tag]                 ciflow/inductor/162903      -> ciflow/inductor/162903
2025-10-10T00:35:14.6558482Z  * [new tag]                 ciflow/inductor/162905      -> ciflow/inductor/162905
2025-10-10T00:35:14.6558773Z  * [new tag]                 ciflow/inductor/162954      -> ciflow/inductor/162954
2025-10-10T00:35:14.6559121Z  * [new tag]                 ciflow/inductor/162990      -> ciflow/inductor/162990
2025-10-10T00:35:14.6559343Z  * [new tag]                 ciflow/inductor/163027      -> ciflow/inductor/163027
2025-10-10T00:35:14.6559474Z  * [new tag]                 ciflow/inductor/163028      -> ciflow/inductor/163028
2025-10-10T00:35:14.6559606Z  * [new tag]                 ciflow/inductor/163053      -> ciflow/inductor/163053
2025-10-10T00:35:14.6559731Z  * [new tag]                 ciflow/inductor/163185      -> ciflow/inductor/163185
2025-10-10T00:35:14.6559862Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-10-10T00:35:14.6559987Z  * [new tag]                 ciflow/inductor/163490      -> ciflow/inductor/163490
2025-10-10T00:35:14.6560101Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-10-10T00:35:14.6560238Z  * [new tag]                 ciflow/inductor/163517      -> ciflow/inductor/163517
2025-10-10T00:35:14.6560550Z  * [new tag]                 ciflow/inductor/163527      -> ciflow/inductor/163527
2025-10-10T00:35:14.6560855Z  * [new tag]                 ciflow/inductor/163533      -> ciflow/inductor/163533
2025-10-10T00:35:14.6561345Z  * [new tag]                 ciflow/inductor/163602      -> ciflow/inductor/163602
2025-10-10T00:35:14.6562403Z  * [new tag]                 ciflow/inductor/163617      -> ciflow/inductor/163617
2025-10-10T00:35:14.6562559Z  * [new tag]                 ciflow/inductor/163667      -> ciflow/inductor/163667
2025-10-10T00:35:14.6562945Z  * [new tag]                 ciflow/inductor/163671      -> ciflow/inductor/163671
2025-10-10T00:35:14.6563387Z  * [new tag]                 ciflow/inductor/163767      -> ciflow/inductor/163767
2025-10-10T00:35:14.6563864Z  * [new tag]                 ciflow/inductor/163772      -> ciflow/inductor/163772
2025-10-10T00:35:14.6564241Z  * [new tag]                 ciflow/inductor/163806      -> ciflow/inductor/163806
2025-10-10T00:35:14.6564894Z  * [new tag]                 ciflow/inductor/163936      -> ciflow/inductor/163936
2025-10-10T00:35:14.6565272Z  * [new tag]                 ciflow/inductor/163976      -> ciflow/inductor/163976
2025-10-10T00:35:14.6566299Z  * [new tag]                 ciflow/inductor/164039      -> ciflow/inductor/164039
2025-10-10T00:35:14.6566513Z  * [new tag]                 ciflow/inductor/164040      -> ciflow/inductor/164040
2025-10-10T00:35:14.6567031Z  * [new tag]                 ciflow/inductor/164130      -> ciflow/inductor/164130
2025-10-10T00:35:14.6567414Z  * [new tag]                 ciflow/inductor/164144      -> ciflow/inductor/164144
2025-10-10T00:35:14.6568208Z  * [new tag]                 ciflow/inductor/164202      -> ciflow/inductor/164202
2025-10-10T00:35:14.6568448Z  * [new tag]                 ciflow/inductor/164212      -> ciflow/inductor/164212
2025-10-10T00:35:14.6568997Z  * [new tag]                 ciflow/inductor/164273      -> ciflow/inductor/164273
2025-10-10T00:35:14.6570391Z  * [new tag]                 ciflow/inductor/164277      -> ciflow/inductor/164277
2025-10-10T00:35:14.6570562Z  * [new tag]                 ciflow/inductor/164291      -> ciflow/inductor/164291
2025-10-10T00:35:14.6570699Z  * [new tag]                 ciflow/inductor/164296      -> ciflow/inductor/164296
2025-10-10T00:35:14.6571259Z  * [new tag]                 ciflow/inductor/164304      -> ciflow/inductor/164304
2025-10-10T00:35:14.6571616Z  * [new tag]                 ciflow/inductor/164318      -> ciflow/inductor/164318
2025-10-10T00:35:14.6572089Z  * [new tag]                 ciflow/inductor/164321      -> ciflow/inductor/164321
2025-10-10T00:35:14.6572401Z  * [new tag]                 ciflow/inductor/164324      -> ciflow/inductor/164324
2025-10-10T00:35:14.6573311Z  * [new tag]                 ciflow/inductor/164341      -> ciflow/inductor/164341
2025-10-10T00:35:14.6573799Z  * [new tag]                 ciflow/inductor/164343      -> ciflow/inductor/164343
2025-10-10T00:35:14.6574057Z  * [new tag]                 ciflow/inductor/164344      -> ciflow/inductor/164344
2025-10-10T00:35:14.6574912Z  * [new tag]                 ciflow/inductor/164359      -> ciflow/inductor/164359
2025-10-10T00:35:14.6575295Z  * [new tag]                 ciflow/inductor/164373      -> ciflow/inductor/164373
2025-10-10T00:35:14.6575628Z  * [new tag]                 ciflow/inductor/164379      -> ciflow/inductor/164379
2025-10-10T00:35:14.6578934Z  * [new tag]                 ciflow/inductor/164384      -> ciflow/inductor/164384
2025-10-10T00:35:14.6579123Z  * [new tag]                 ciflow/inductor/164404      -> ciflow/inductor/164404
2025-10-10T00:35:14.6579259Z  * [new tag]                 ciflow/inductor/164405      -> ciflow/inductor/164405
2025-10-10T00:35:14.6579419Z  * [new tag]                 ciflow/inductor/164414      -> ciflow/inductor/164414
2025-10-10T00:35:14.6579547Z  * [new tag]                 ciflow/inductor/164422      -> ciflow/inductor/164422
2025-10-10T00:35:14.6579682Z  * [new tag]                 ciflow/inductor/164433      -> ciflow/inductor/164433
2025-10-10T00:35:14.6579811Z  * [new tag]                 ciflow/inductor/164474      -> ciflow/inductor/164474
2025-10-10T00:35:14.6579958Z  * [new tag]                 ciflow/inductor/164488      -> ciflow/inductor/164488
2025-10-10T00:35:14.6580224Z  * [new tag]                 ciflow/inductor/164492      -> ciflow/inductor/164492
2025-10-10T00:35:14.6581067Z  * [new tag]                 ciflow/inductor/164497      -> ciflow/inductor/164497
2025-10-10T00:35:14.6581206Z  * [new tag]                 ciflow/inductor/164498      -> ciflow/inductor/164498
2025-10-10T00:35:14.6581887Z  * [new tag]                 ciflow/inductor/164500      -> ciflow/inductor/164500
2025-10-10T00:35:14.6582391Z  * [new tag]                 ciflow/inductor/164507      -> ciflow/inductor/164507
2025-10-10T00:35:14.6582798Z  * [new tag]                 ciflow/inductor/164519      -> ciflow/inductor/164519
2025-10-10T00:35:14.6583624Z  * [new tag]                 ciflow/inductor/164521      -> ciflow/inductor/164521
2025-10-10T00:35:14.6583860Z  * [new tag]                 ciflow/inductor/164522      -> ciflow/inductor/164522
2025-10-10T00:35:14.6586515Z  * [new tag]                 ciflow/inductor/164523      -> ciflow/inductor/164523
2025-10-10T00:35:14.6586689Z  * [new tag]                 ciflow/inductor/164524      -> ciflow/inductor/164524
2025-10-10T00:35:14.6586834Z  * [new tag]                 ciflow/inductor/164525      -> ciflow/inductor/164525
2025-10-10T00:35:14.6586964Z  * [new tag]                 ciflow/inductor/164526      -> ciflow/inductor/164526
2025-10-10T00:35:14.6587103Z  * [new tag]                 ciflow/inductor/164527      -> ciflow/inductor/164527
2025-10-10T00:35:14.6587284Z  * [new tag]                 ciflow/inductor/164533      -> ciflow/inductor/164533
2025-10-10T00:35:14.6588104Z  * [new tag]                 ciflow/inductor/164537      -> ciflow/inductor/164537
2025-10-10T00:35:14.6588415Z  * [new tag]                 ciflow/inductor/164548      -> ciflow/inductor/164548
2025-10-10T00:35:14.6588981Z  * [new tag]                 ciflow/inductor/164557      -> ciflow/inductor/164557
2025-10-10T00:35:14.6589275Z  * [new tag]                 ciflow/inductor/164558      -> ciflow/inductor/164558
2025-10-10T00:35:14.6590686Z  * [new tag]                 ciflow/inductor/164560      -> ciflow/inductor/164560
2025-10-10T00:35:14.6591265Z  * [new tag]                 ciflow/inductor/164565      -> ciflow/inductor/164565
2025-10-10T00:35:14.6591430Z  * [new tag]                 ciflow/inductor/164577      -> ciflow/inductor/164577
2025-10-10T00:35:14.6591671Z  * [new tag]                 ciflow/inductor/164609      -> ciflow/inductor/164609
2025-10-10T00:35:14.6592229Z  * [new tag]                 ciflow/inductor/164610      -> ciflow/inductor/164610
2025-10-10T00:35:14.6592657Z  * [new tag]                 ciflow/inductor/164611      -> ciflow/inductor/164611
2025-10-10T00:35:14.6593187Z  * [new tag]                 ciflow/inductor/164612      -> ciflow/inductor/164612
2025-10-10T00:35:14.6593577Z  * [new tag]                 ciflow/inductor/164613      -> ciflow/inductor/164613
2025-10-10T00:35:14.6594159Z  * [new tag]                 ciflow/inductor/164614      -> ciflow/inductor/164614
2025-10-10T00:35:14.6594623Z  * [new tag]                 ciflow/inductor/164623      -> ciflow/inductor/164623
2025-10-10T00:35:14.6595131Z  * [new tag]                 ciflow/inductor/164626      -> ciflow/inductor/164626
2025-10-10T00:35:14.6595638Z  * [new tag]                 ciflow/inductor/164628      -> ciflow/inductor/164628
2025-10-10T00:35:14.6596069Z  * [new tag]                 ciflow/inductor/164631      -> ciflow/inductor/164631
2025-10-10T00:35:14.6596841Z  * [new tag]                 ciflow/inductor/164632      -> ciflow/inductor/164632
2025-10-10T00:35:14.6597113Z  * [new tag]                 ciflow/inductor/164633      -> ciflow/inductor/164633
2025-10-10T00:35:14.6597688Z  * [new tag]                 ciflow/inductor/164640      -> ciflow/inductor/164640
2025-10-10T00:35:14.6598679Z  * [new tag]                 ciflow/inductor/164641      -> ciflow/inductor/164641
2025-10-10T00:35:14.6598966Z  * [new tag]                 ciflow/inductor/164645      -> ciflow/inductor/164645
2025-10-10T00:35:14.6599439Z  * [new tag]                 ciflow/inductor/164648      -> ciflow/inductor/164648
2025-10-10T00:35:14.6599956Z  * [new tag]                 ciflow/inductor/164653      -> ciflow/inductor/164653
2025-10-10T00:35:14.6600675Z  * [new tag]                 ciflow/inductor/164655      -> ciflow/inductor/164655
2025-10-10T00:35:14.6600994Z  * [new tag]                 ciflow/inductor/164657      -> ciflow/inductor/164657
2025-10-10T00:35:14.6602919Z  * [new tag]                 ciflow/inductor/164659      -> ciflow/inductor/164659
2025-10-10T00:35:14.6603090Z  * [new tag]                 ciflow/inductor/164669      -> ciflow/inductor/164669
2025-10-10T00:35:14.6603228Z  * [new tag]                 ciflow/inductor/164690      -> ciflow/inductor/164690
2025-10-10T00:35:14.6603354Z  * [new tag]                 ciflow/inductor/164691      -> ciflow/inductor/164691
2025-10-10T00:35:14.6603844Z  * [new tag]                 ciflow/inductor/164692      -> ciflow/inductor/164692
2025-10-10T00:35:14.6604277Z  * [new tag]                 ciflow/inductor/164711      -> ciflow/inductor/164711
2025-10-10T00:35:14.6604803Z  * [new tag]                 ciflow/inductor/164714      -> ciflow/inductor/164714
2025-10-10T00:35:14.6605330Z  * [new tag]                 ciflow/inductor/164717      -> ciflow/inductor/164717
2025-10-10T00:35:14.6606481Z  * [new tag]                 ciflow/inductor/164718      -> ciflow/inductor/164718
2025-10-10T00:35:14.6606821Z  * [new tag]                 ciflow/inductor/164723      -> ciflow/inductor/164723
2025-10-10T00:35:14.6607705Z  * [new tag]                 ciflow/inductor/164724      -> ciflow/inductor/164724
2025-10-10T00:35:14.6607962Z  * [new tag]                 ciflow/inductor/164734      -> ciflow/inductor/164734
2025-10-10T00:35:14.6608391Z  * [new tag]                 ciflow/inductor/164740      -> ciflow/inductor/164740
2025-10-10T00:35:14.6609498Z  * [new tag]                 ciflow/inductor/164746      -> ciflow/inductor/164746
2025-10-10T00:35:14.6609687Z  * [new tag]                 ciflow/inductor/164747      -> ciflow/inductor/164747
2025-10-10T00:35:14.6610065Z  * [new tag]                 ciflow/inductor/164776      -> ciflow/inductor/164776
2025-10-10T00:35:14.6610623Z  * [new tag]                 ciflow/inductor/164778      -> ciflow/inductor/164778
2025-10-10T00:35:14.6611351Z  * [new tag]                 ciflow/inductor/164780      -> ciflow/inductor/164780
2025-10-10T00:35:14.6611775Z  * [new tag]                 ciflow/inductor/164794      -> ciflow/inductor/164794
2025-10-10T00:35:14.6613156Z  * [new tag]                 ciflow/inductor/164802      -> ciflow/inductor/164802
2025-10-10T00:35:14.6613676Z  * [new tag]                 ciflow/inductor/164806      -> ciflow/inductor/164806
2025-10-10T00:35:14.6613823Z  * [new tag]                 ciflow/inductor/164808      -> ciflow/inductor/164808
2025-10-10T00:35:14.6613970Z  * [new tag]                 ciflow/inductor/164810      -> ciflow/inductor/164810
2025-10-10T00:35:14.6614549Z  * [new tag]                 ciflow/inductor/164811      -> ciflow/inductor/164811
2025-10-10T00:35:14.6614938Z  * [new tag]                 ciflow/inductor/164812      -> ciflow/inductor/164812
2025-10-10T00:35:14.6615658Z  * [new tag]                 ciflow/inductor/164819      -> ciflow/inductor/164819
2025-10-10T00:35:14.6615949Z  * [new tag]                 ciflow/inductor/164820      -> ciflow/inductor/164820
2025-10-10T00:35:14.6616866Z  * [new tag]                 ciflow/inductor/164821      -> ciflow/inductor/164821
2025-10-10T00:35:14.6617189Z  * [new tag]                 ciflow/inductor/164839      -> ciflow/inductor/164839
2025-10-10T00:35:14.6617580Z  * [new tag]                 ciflow/inductor/164842      -> ciflow/inductor/164842
2025-10-10T00:35:14.6618132Z  * [new tag]                 ciflow/inductor/164847      -> ciflow/inductor/164847
2025-10-10T00:35:14.6618570Z  * [new tag]                 ciflow/inductor/164852      -> ciflow/inductor/164852
2025-10-10T00:35:14.6619151Z  * [new tag]                 ciflow/inductor/164863      -> ciflow/inductor/164863
2025-10-10T00:35:14.6619601Z  * [new tag]                 ciflow/inductor/164865      -> ciflow/inductor/164865
2025-10-10T00:35:14.6620356Z  * [new tag]                 ciflow/inductor/164866      -> ciflow/inductor/164866
2025-10-10T00:35:14.6620586Z  * [new tag]                 ciflow/inductor/164867      -> ciflow/inductor/164867
2025-10-10T00:35:14.6621294Z  * [new tag]                 ciflow/inductor/164869      -> ciflow/inductor/164869
2025-10-10T00:35:14.6621756Z  * [new tag]                 ciflow/inductor/164873      -> ciflow/inductor/164873
2025-10-10T00:35:14.6622258Z  * [new tag]                 ciflow/inductor/164889      -> ciflow/inductor/164889
2025-10-10T00:35:14.6622640Z  * [new tag]                 ciflow/inductor/164897      -> ciflow/inductor/164897
2025-10-10T00:35:14.6623098Z  * [new tag]                 ciflow/inductor/164902      -> ciflow/inductor/164902
2025-10-10T00:35:14.6623562Z  * [new tag]                 ciflow/inductor/164903      -> ciflow/inductor/164903
2025-10-10T00:35:14.6624073Z  * [new tag]                 ciflow/inductor/164906      -> ciflow/inductor/164906
2025-10-10T00:35:14.6624569Z  * [new tag]                 ciflow/inductor/164914      -> ciflow/inductor/164914
2025-10-10T00:35:14.6625101Z  * [new tag]                 ciflow/inductor/164919      -> ciflow/inductor/164919
2025-10-10T00:35:14.6625486Z  * [new tag]                 ciflow/inductor/164933      -> ciflow/inductor/164933
2025-10-10T00:35:14.6626435Z  * [new tag]                 ciflow/inductor/164938      -> ciflow/inductor/164938
2025-10-10T00:35:14.6626576Z  * [new tag]                 ciflow/inductor/164948      -> ciflow/inductor/164948
2025-10-10T00:35:14.6627222Z  * [new tag]                 ciflow/inductor/164956      -> ciflow/inductor/164956
2025-10-10T00:35:14.6627827Z  * [new tag]                 ciflow/inductor/164965      -> ciflow/inductor/164965
2025-10-10T00:35:14.6628257Z  * [new tag]                 ciflow/inductor/164978      -> ciflow/inductor/164978
2025-10-10T00:35:14.6628503Z  * [new tag]                 ciflow/inductor/164979      -> ciflow/inductor/164979
2025-10-10T00:35:14.6629296Z  * [new tag]                 ciflow/inductor/164980      -> ciflow/inductor/164980
2025-10-10T00:35:14.6629508Z  * [new tag]                 ciflow/inductor/164984      -> ciflow/inductor/164984
2025-10-10T00:35:14.6630448Z  * [new tag]                 ciflow/inductor/164989      -> ciflow/inductor/164989
2025-10-10T00:35:14.6630851Z  * [new tag]                 ciflow/inductor/164991      -> ciflow/inductor/164991
2025-10-10T00:35:14.6631273Z  * [new tag]                 ciflow/inductor/164992      -> ciflow/inductor/164992
2025-10-10T00:35:14.6631767Z  * [new tag]                 ciflow/inductor/164994      -> ciflow/inductor/164994
2025-10-10T00:35:14.6632242Z  * [new tag]                 ciflow/inductor/164999      -> ciflow/inductor/164999
2025-10-10T00:35:14.6632793Z  * [new tag]                 ciflow/inductor/165001      -> ciflow/inductor/165001
2025-10-10T00:35:14.6633217Z  * [new tag]                 ciflow/inductor/165005      -> ciflow/inductor/165005
2025-10-10T00:35:14.6633814Z  * [new tag]                 ciflow/inductor/165006      -> ciflow/inductor/165006
2025-10-10T00:35:14.6634208Z  * [new tag]                 ciflow/inductor/165010      -> ciflow/inductor/165010
2025-10-10T00:35:14.6634720Z  * [new tag]                 ciflow/inductor/165012      -> ciflow/inductor/165012
2025-10-10T00:35:14.6635119Z  * [new tag]                 ciflow/inductor/165017      -> ciflow/inductor/165017
2025-10-10T00:35:14.6636086Z  * [new tag]                 ciflow/inductor/165018      -> ciflow/inductor/165018
2025-10-10T00:35:14.6636334Z  * [new tag]                 ciflow/inductor/165024      -> ciflow/inductor/165024
2025-10-10T00:35:14.6636803Z  * [new tag]                 ciflow/inductor/165029      -> ciflow/inductor/165029
2025-10-10T00:35:14.6637762Z  * [new tag]                 ciflow/inductor/165030      -> ciflow/inductor/165030
2025-10-10T00:35:14.6637965Z  * [new tag]                 ciflow/inductor/165031      -> ciflow/inductor/165031
2025-10-10T00:35:14.6638999Z  * [new tag]                 ciflow/inductor/165033      -> ciflow/inductor/165033
2025-10-10T00:35:14.6639503Z  * [new tag]                 ciflow/inductor/165036      -> ciflow/inductor/165036
2025-10-10T00:35:14.6640701Z  * [new tag]                 ciflow/inductor/165037      -> ciflow/inductor/165037
2025-10-10T00:35:14.6641015Z  * [new tag]                 ciflow/inductor/165039      -> ciflow/inductor/165039
2025-10-10T00:35:14.6641454Z  * [new tag]                 ciflow/inductor/165047      -> ciflow/inductor/165047
2025-10-10T00:35:14.6641883Z  * [new tag]                 ciflow/inductor/165059      -> ciflow/inductor/165059
2025-10-10T00:35:14.6642274Z  * [new tag]                 ciflow/inductor/165063      -> ciflow/inductor/165063
2025-10-10T00:35:14.6642912Z  * [new tag]                 ciflow/inductor/165064      -> ciflow/inductor/165064
2025-10-10T00:35:14.6643246Z  * [new tag]                 ciflow/inductor/165066      -> ciflow/inductor/165066
2025-10-10T00:35:14.6643977Z  * [new tag]                 ciflow/inductor/165074      -> ciflow/inductor/165074
2025-10-10T00:35:14.6644279Z  * [new tag]                 ciflow/inductor/165076      -> ciflow/inductor/165076
2025-10-10T00:35:14.6644822Z  * [new tag]                 ciflow/inductor/165091      -> ciflow/inductor/165091
2025-10-10T00:35:14.6645267Z  * [new tag]                 ciflow/inductor/165092      -> ciflow/inductor/165092
2025-10-10T00:35:14.6645841Z  * [new tag]                 ciflow/inductor/165106      -> ciflow/inductor/165106
2025-10-10T00:35:14.6646203Z  * [new tag]                 ciflow/inductor/165107      -> ciflow/inductor/165107
2025-10-10T00:35:14.6647215Z  * [new tag]                 ciflow/inductor/165112      -> ciflow/inductor/165112
2025-10-10T00:35:14.6647360Z  * [new tag]                 ciflow/inductor/165113      -> ciflow/inductor/165113
2025-10-10T00:35:14.6648388Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-10-10T00:35:14.6648809Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-10-10T00:35:14.6649464Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-10-10T00:35:14.6650273Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-10-10T00:35:14.6650605Z  * [new tag]                 ciflow/linux-aarch64/163952 -> ciflow/linux-aarch64/163952
2025-10-10T00:35:14.6651240Z  * [new tag]                 ciflow/linux-aarch64/164965 -> ciflow/linux-aarch64/164965
2025-10-10T00:35:14.6651537Z  * [new tag]                 ciflow/linux-aarch64/165010 -> ciflow/linux-aarch64/165010
2025-10-10T00:35:14.6652394Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-10-10T00:35:14.6652705Z  * [new tag]                 ciflow/mps/157554           -> ciflow/mps/157554
2025-10-10T00:35:14.6653915Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-10-10T00:35:14.6654155Z  * [new tag]                 ciflow/mps/162340           -> ciflow/mps/162340
2025-10-10T00:35:14.6654285Z  * [new tag]                 ciflow/mps/164416           -> ciflow/mps/164416
2025-10-10T00:35:14.6654703Z  * [new tag]                 ciflow/mps/164571           -> ciflow/mps/164571
2025-10-10T00:35:14.6659311Z  * [new tag]                 ciflow/mps/164965           -> ciflow/mps/164965
2025-10-10T00:35:14.6659517Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-10-10T00:35:14.6659656Z  * [new tag]                 ciflow/nightly/164747       -> ciflow/nightly/164747
2025-10-10T00:35:14.6659782Z  * [new tag]                 ciflow/nightly/164901       -> ciflow/nightly/164901
2025-10-10T00:35:14.6659940Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-10-10T00:35:14.6660120Z  * [new tag]                 ciflow/op-benchmark/163767  -> ciflow/op-benchmark/163767
2025-10-10T00:35:14.6660259Z  * [new tag]                 ciflow/op-benchmark/164583  -> ciflow/op-benchmark/164583
2025-10-10T00:35:14.6660406Z  * [new tag]                 ciflow/op-benchmark/164747  -> ciflow/op-benchmark/164747
2025-10-10T00:35:14.6660606Z  * [new tag]                 ciflow/periodic-rocm-mi300/162478 -> ciflow/periodic-rocm-mi300/162478
2025-10-10T00:35:14.6660794Z  * [new tag]                 ciflow/periodic-rocm-mi300/163767 -> ciflow/periodic-rocm-mi300/163767
2025-10-10T00:35:14.6661115Z  * [new tag]                 ciflow/periodic-rocm-mi300/164618 -> ciflow/periodic-rocm-mi300/164618
2025-10-10T00:35:14.6661301Z  * [new tag]                 ciflow/periodic-rocm-mi300/164747 -> ciflow/periodic-rocm-mi300/164747
2025-10-10T00:35:14.6661517Z  * [new tag]                 ciflow/periodic-rocm-mi300/165011 -> ciflow/periodic-rocm-mi300/165011
2025-10-10T00:35:14.6662044Z  * [new tag]                 ciflow/periodic-rocm-mi300/165080 -> ciflow/periodic-rocm-mi300/165080
2025-10-10T00:35:14.6662994Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-10-10T00:35:14.6663542Z  * [new tag]                 ciflow/periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> ciflow/periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:35:14.6664189Z  * [new tag]                 ciflow/periodic/0ea59c3c55dab37a6edefcc7002bb1428afd6456 -> ciflow/periodic/0ea59c3c55dab37a6edefcc7002bb1428afd6456
2025-10-10T00:35:14.6664768Z  * [new tag]                 ciflow/periodic/156491      -> ciflow/periodic/156491
2025-10-10T00:35:14.6665236Z  * [new tag]                 ciflow/periodic/162990      -> ciflow/periodic/162990
2025-10-10T00:35:14.6665622Z  * [new tag]                 ciflow/periodic/163667      -> ciflow/periodic/163667
2025-10-10T00:35:14.6666086Z  * [new tag]                 ciflow/periodic/163767      -> ciflow/periodic/163767
2025-10-10T00:35:14.6667146Z  * [new tag]                 ciflow/periodic/164747      -> ciflow/periodic/164747
2025-10-10T00:35:14.6667354Z  * [new tag]                 ciflow/periodic/164769      -> ciflow/periodic/164769
2025-10-10T00:35:14.6667729Z  * [new tag]                 ciflow/periodic/165011      -> ciflow/periodic/165011
2025-10-10T00:35:14.6668929Z  * [new tag]                 ciflow/periodic/2a6cdba6e5f74c2294fecc2d1344537522efbaab -> ciflow/periodic/2a6cdba6e5f74c2294fecc2d1344537522efbaab
2025-10-10T00:35:14.6669419Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-10-10T00:35:14.6670320Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-10-10T00:35:14.6671575Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-10-10T00:35:14.6671766Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-10-10T00:35:14.6672355Z  * [new tag]                 ciflow/periodic/4bcc05777e780e834d44a2d06dd5321daec316f0 -> ciflow/periodic/4bcc05777e780e834d44a2d06dd5321daec316f0
2025-10-10T00:35:14.6673181Z  * [new tag]                 ciflow/periodic/73adac05d13babb75410c3e033fdce57aa16881a -> ciflow/periodic/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:35:14.6673400Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-10-10T00:35:14.6674491Z  * [new tag]                 ciflow/periodic/ac08556f674259ff5b117964e300124e8a92d45b -> ciflow/periodic/ac08556f674259ff5b117964e300124e8a92d45b
2025-10-10T00:35:14.6674892Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-10-10T00:35:14.6675446Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-10-10T00:35:14.6676222Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-10-10T00:35:14.6676582Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-10-10T00:35:14.6678312Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-10-10T00:35:14.6678519Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-10-10T00:35:14.6678856Z  * [new tag]                 ciflow/quantization-periodic/163767 -> ciflow/quantization-periodic/163767
2025-10-10T00:35:14.6679297Z  * [new tag]                 ciflow/quantization-periodic/164747 -> ciflow/quantization-periodic/164747
2025-10-10T00:35:14.6679867Z  * [new tag]                 ciflow/riscv64/163767       -> ciflow/riscv64/163767
2025-10-10T00:35:14.6680423Z  * [new tag]                 ciflow/riscv64/164747       -> ciflow/riscv64/164747
2025-10-10T00:35:14.6680925Z  * [new tag]                 ciflow/rocm-mi300/161280    -> ciflow/rocm-mi300/161280
2025-10-10T00:35:14.6681309Z  * [new tag]                 ciflow/rocm-mi300/162478    -> ciflow/rocm-mi300/162478
2025-10-10T00:35:14.6682374Z  * [new tag]                 ciflow/rocm-mi300/163767    -> ciflow/rocm-mi300/163767
2025-10-10T00:35:14.6682835Z  * [new tag]                 ciflow/rocm-mi300/163955    -> ciflow/rocm-mi300/163955
2025-10-10T00:35:14.6683000Z  * [new tag]                 ciflow/rocm-mi300/164618    -> ciflow/rocm-mi300/164618
2025-10-10T00:35:14.6683133Z  * [new tag]                 ciflow/rocm-mi300/164747    -> ciflow/rocm-mi300/164747
2025-10-10T00:35:14.6684017Z  * [new tag]                 ciflow/rocm-mi300/164927    -> ciflow/rocm-mi300/164927
2025-10-10T00:35:14.6684238Z  * [new tag]                 ciflow/rocm-mi300/164930    -> ciflow/rocm-mi300/164930
2025-10-10T00:35:14.6684813Z  * [new tag]                 ciflow/rocm-mi300/165026    -> ciflow/rocm-mi300/165026
2025-10-10T00:35:14.6685217Z  * [new tag]                 ciflow/rocm-mi300/165080    -> ciflow/rocm-mi300/165080
2025-10-10T00:35:14.6685871Z  * [new tag]                 ciflow/rocm-mi355/163767    -> ciflow/rocm-mi355/163767
2025-10-10T00:35:14.6686194Z  * [new tag]                 ciflow/rocm-mi355/164747    -> ciflow/rocm-mi355/164747
2025-10-10T00:35:14.6687085Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-10-10T00:35:14.6687319Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-10-10T00:35:14.6687856Z  * [new tag]                 ciflow/rocm/156592          -> ciflow/rocm/156592
2025-10-10T00:35:14.6688241Z  * [new tag]                 ciflow/rocm/161280          -> ciflow/rocm/161280
2025-10-10T00:35:14.6688762Z  * [new tag]                 ciflow/rocm/163767          -> ciflow/rocm/163767
2025-10-10T00:35:14.6689140Z  * [new tag]                 ciflow/rocm/163955          -> ciflow/rocm/163955
2025-10-10T00:35:14.6690109Z  * [new tag]                 ciflow/rocm/163965          -> ciflow/rocm/163965
2025-10-10T00:35:14.6690367Z  * [new tag]                 ciflow/rocm/164656          -> ciflow/rocm/164656
2025-10-10T00:35:14.6691020Z  * [new tag]                 ciflow/rocm/164747          -> ciflow/rocm/164747
2025-10-10T00:35:14.6691405Z  * [new tag]                 ciflow/rocm/164769          -> ciflow/rocm/164769
2025-10-10T00:35:14.6692612Z  * [new tag]                 ciflow/rocm/164927          -> ciflow/rocm/164927
2025-10-10T00:35:14.6692810Z  * [new tag]                 ciflow/rocm/164930          -> ciflow/rocm/164930
2025-10-10T00:35:14.6693643Z  * [new tag]                 ciflow/rocm/165026          -> ciflow/rocm/165026
2025-10-10T00:35:14.6694436Z  * [new tag]                 ciflow/rocm/165103          -> ciflow/rocm/165103
2025-10-10T00:35:14.6694895Z  * [new tag]                 ciflow/s390/164747          -> ciflow/s390/164747
2025-10-10T00:35:14.6695647Z  * [new tag]                 ciflow/s390/164917          -> ciflow/s390/164917
2025-10-10T00:35:14.6696168Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-10-10T00:35:14.6697136Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-10-10T00:35:14.6697616Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-10-10T00:35:14.6698073Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-10-10T00:35:14.6698482Z  * [new tag]                 ciflow/slow/163767          -> ciflow/slow/163767
2025-10-10T00:35:14.6699039Z  * [new tag]                 ciflow/slow/164747          -> ciflow/slow/164747
2025-10-10T00:35:14.6699381Z  * [new tag]                 ciflow/slow/164769          -> ciflow/slow/164769
2025-10-10T00:35:14.6700464Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-10-10T00:35:14.6700824Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-10-10T00:35:14.6701866Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-10-10T00:35:14.6702183Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-10-10T00:35:14.6703290Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-10-10T00:35:14.6706314Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-10-10T00:35:14.6706527Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-10-10T00:35:14.6706651Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-10-10T00:35:14.6706960Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-10-10T00:35:14.6707085Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-10-10T00:35:14.6707214Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-10-10T00:35:14.6707330Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-10-10T00:35:14.6711088Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-10-10T00:35:14.6711559Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-10-10T00:35:14.6711924Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-10-10T00:35:14.6712085Z  * [new tag]                 ciflow/torchbench/164747    -> ciflow/torchbench/164747
2025-10-10T00:35:14.6712207Z  * [new tag]                 ciflow/trunk/113258         -> ciflow/trunk/113258
2025-10-10T00:35:14.6712333Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-10-10T00:35:14.6712481Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-10-10T00:35:14.6712601Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-10-10T00:35:14.6712714Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-10-10T00:35:14.6716121Z  * [new tag]                 ciflow/trunk/149003         -> ciflow/trunk/149003
2025-10-10T00:35:14.6716434Z  * [new tag]                 ciflow/trunk/149536         -> ciflow/trunk/149536
2025-10-10T00:35:14.6716548Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-10-10T00:35:14.6716671Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-10-10T00:35:14.6716784Z  * [new tag]                 ciflow/trunk/154279         -> ciflow/trunk/154279
2025-10-10T00:35:14.6716906Z  * [new tag]                 ciflow/trunk/154983         -> ciflow/trunk/154983
2025-10-10T00:35:14.6717022Z  * [new tag]                 ciflow/trunk/156418         -> ciflow/trunk/156418
2025-10-10T00:35:14.6717134Z  * [new tag]                 ciflow/trunk/156592         -> ciflow/trunk/156592
2025-10-10T00:35:14.6717255Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-10-10T00:35:14.6717367Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-10-10T00:35:14.6717492Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-10-10T00:35:14.6717605Z  * [new tag]                 ciflow/trunk/159104         -> ciflow/trunk/159104
2025-10-10T00:35:14.6722510Z  * [new tag]                 ciflow/trunk/160266         -> ciflow/trunk/160266
2025-10-10T00:35:14.6727553Z  * [new tag]                 ciflow/trunk/160328         -> ciflow/trunk/160328
2025-10-10T00:35:14.6727705Z  * [new tag]                 ciflow/trunk/160329         -> ciflow/trunk/160329
2025-10-10T00:35:14.6727994Z  * [new tag]                 ciflow/trunk/160539         -> ciflow/trunk/160539
2025-10-10T00:35:14.6728139Z  * [new tag]                 ciflow/trunk/160610         -> ciflow/trunk/160610
2025-10-10T00:35:14.6728274Z  * [new tag]                 ciflow/trunk/160843         -> ciflow/trunk/160843
2025-10-10T00:35:14.6728395Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-10-10T00:35:14.6728520Z  * [new tag]                 ciflow/trunk/161320         -> ciflow/trunk/161320
2025-10-10T00:35:14.6728644Z  * [new tag]                 ciflow/trunk/162031         -> ciflow/trunk/162031
2025-10-10T00:35:14.6728761Z  * [new tag]                 ciflow/trunk/162066         -> ciflow/trunk/162066
2025-10-10T00:35:14.6728890Z  * [new tag]                 ciflow/trunk/162203         -> ciflow/trunk/162203
2025-10-10T00:35:14.6729008Z  * [new tag]                 ciflow/trunk/162340         -> ciflow/trunk/162340
2025-10-10T00:35:14.6729136Z  * [new tag]                 ciflow/trunk/162542         -> ciflow/trunk/162542
2025-10-10T00:35:14.6729261Z  * [new tag]                 ciflow/trunk/162899         -> ciflow/trunk/162899
2025-10-10T00:35:14.6729383Z  * [new tag]                 ciflow/trunk/163034         -> ciflow/trunk/163034
2025-10-10T00:35:14.6729514Z  * [new tag]                 ciflow/trunk/163332         -> ciflow/trunk/163332
2025-10-10T00:35:14.6729631Z  * [new tag]                 ciflow/trunk/163446         -> ciflow/trunk/163446
2025-10-10T00:35:14.6729759Z  * [new tag]                 ciflow/trunk/163490         -> ciflow/trunk/163490
2025-10-10T00:35:14.6729876Z  * [new tag]                 ciflow/trunk/163527         -> ciflow/trunk/163527
2025-10-10T00:35:14.6730001Z  * [new tag]                 ciflow/trunk/163533         -> ciflow/trunk/163533
2025-10-10T00:35:14.6730127Z  * [new tag]                 ciflow/trunk/163671         -> ciflow/trunk/163671
2025-10-10T00:35:14.6730248Z  * [new tag]                 ciflow/trunk/163767         -> ciflow/trunk/163767
2025-10-10T00:35:14.6730373Z  * [new tag]                 ciflow/trunk/163846         -> ciflow/trunk/163846
2025-10-10T00:35:14.6730493Z  * [new tag]                 ciflow/trunk/163899         -> ciflow/trunk/163899
2025-10-10T00:35:14.6730620Z  * [new tag]                 ciflow/trunk/163955         -> ciflow/trunk/163955
2025-10-10T00:35:14.6730744Z  * [new tag]                 ciflow/trunk/163976         -> ciflow/trunk/163976
2025-10-10T00:35:14.6730922Z  * [new tag]                 ciflow/trunk/164040         -> ciflow/trunk/164040
2025-10-10T00:35:14.6731046Z  * [new tag]                 ciflow/trunk/164130         -> ciflow/trunk/164130
2025-10-10T00:35:14.6731167Z  * [new tag]                 ciflow/trunk/164144         -> ciflow/trunk/164144
2025-10-10T00:35:14.6731293Z  * [new tag]                 ciflow/trunk/164202         -> ciflow/trunk/164202
2025-10-10T00:35:14.6731415Z  * [new tag]                 ciflow/trunk/164318         -> ciflow/trunk/164318
2025-10-10T00:35:14.6731539Z  * [new tag]                 ciflow/trunk/164414         -> ciflow/trunk/164414
2025-10-10T00:35:14.6731668Z  * [new tag]                 ciflow/trunk/164416         -> ciflow/trunk/164416
2025-10-10T00:35:14.6731790Z  * [new tag]                 ciflow/trunk/164437         -> ciflow/trunk/164437
2025-10-10T00:35:14.6731928Z  * [new tag]                 ciflow/trunk/164467         -> ciflow/trunk/164467
2025-10-10T00:35:14.6732133Z  * [new tag]                 ciflow/trunk/164500         -> ciflow/trunk/164500
2025-10-10T00:35:14.6732563Z  * [new tag]                 ciflow/trunk/164510         -> ciflow/trunk/164510
2025-10-10T00:35:14.6733252Z  * [new tag]                 ciflow/trunk/164519         -> ciflow/trunk/164519
2025-10-10T00:35:14.6734094Z  * [new tag]                 ciflow/trunk/164542         -> ciflow/trunk/164542
2025-10-10T00:35:14.6734225Z  * [new tag]                 ciflow/trunk/164560         -> ciflow/trunk/164560
2025-10-10T00:35:14.6737578Z  * [new tag]                 ciflow/trunk/164566         -> ciflow/trunk/164566
2025-10-10T00:35:14.6737890Z  * [new tag]                 ciflow/trunk/164623         -> ciflow/trunk/164623
2025-10-10T00:35:14.6738036Z  * [new tag]                 ciflow/trunk/164628         -> ciflow/trunk/164628
2025-10-10T00:35:14.6738162Z  * [new tag]                 ciflow/trunk/164641         -> ciflow/trunk/164641
2025-10-10T00:35:14.6738278Z  * [new tag]                 ciflow/trunk/164643         -> ciflow/trunk/164643
2025-10-10T00:35:14.6738425Z  * [new tag]                 ciflow/trunk/164645         -> ciflow/trunk/164645
2025-10-10T00:35:14.6738549Z  * [new tag]                 ciflow/trunk/164653         -> ciflow/trunk/164653
2025-10-10T00:35:14.6744331Z  * [new tag]                 ciflow/trunk/164655         -> ciflow/trunk/164655
2025-10-10T00:35:14.6744635Z  * [new tag]                 ciflow/trunk/164691         -> ciflow/trunk/164691
2025-10-10T00:35:14.6744887Z  * [new tag]                 ciflow/trunk/164692         -> ciflow/trunk/164692
2025-10-10T00:35:14.6745064Z  * [new tag]                 ciflow/trunk/164705         -> ciflow/trunk/164705
2025-10-10T00:35:14.6745333Z  * [new tag]                 ciflow/trunk/164746         -> ciflow/trunk/164746
2025-10-10T00:35:14.6745480Z  * [new tag]                 ciflow/trunk/164747         -> ciflow/trunk/164747
2025-10-10T00:35:14.6745609Z  * [new tag]                 ciflow/trunk/164790         -> ciflow/trunk/164790
2025-10-10T00:35:14.6745821Z  * [new tag]                 ciflow/trunk/164808         -> ciflow/trunk/164808
2025-10-10T00:35:14.6745957Z  * [new tag]                 ciflow/trunk/164812         -> ciflow/trunk/164812
2025-10-10T00:35:14.6746073Z  * [new tag]                 ciflow/trunk/164836         -> ciflow/trunk/164836
2025-10-10T00:35:14.6746314Z  * [new tag]                 ciflow/trunk/164842         -> ciflow/trunk/164842
2025-10-10T00:35:14.6746452Z  * [new tag]                 ciflow/trunk/164882         -> ciflow/trunk/164882
2025-10-10T00:35:14.6746642Z  * [new tag]                 ciflow/trunk/164889         -> ciflow/trunk/164889
2025-10-10T00:35:14.6746779Z  * [new tag]                 ciflow/trunk/164894         -> ciflow/trunk/164894
2025-10-10T00:35:14.6746975Z  * [new tag]                 ciflow/trunk/164930         -> ciflow/trunk/164930
2025-10-10T00:35:14.6747107Z  * [new tag]                 ciflow/trunk/164953         -> ciflow/trunk/164953
2025-10-10T00:35:14.6747229Z  * [new tag]                 ciflow/trunk/164976         -> ciflow/trunk/164976
2025-10-10T00:35:14.6747502Z  * [new tag]                 ciflow/trunk/164999         -> ciflow/trunk/164999
2025-10-10T00:35:14.6747905Z  * [new tag]                 ciflow/trunk/165000         -> ciflow/trunk/165000
2025-10-10T00:35:14.6748679Z  * [new tag]                 ciflow/trunk/165017         -> ciflow/trunk/165017
2025-10-10T00:35:14.6749274Z  * [new tag]                 ciflow/trunk/165018         -> ciflow/trunk/165018
2025-10-10T00:35:14.6749458Z  * [new tag]                 ciflow/trunk/165024         -> ciflow/trunk/165024
2025-10-10T00:35:14.6749854Z  * [new tag]                 ciflow/trunk/165033         -> ciflow/trunk/165033
2025-10-10T00:35:14.6752724Z  * [new tag]                 ciflow/trunk/165047         -> ciflow/trunk/165047
2025-10-10T00:35:14.6753039Z  * [new tag]                 ciflow/trunk/165057         -> ciflow/trunk/165057
2025-10-10T00:35:14.6753343Z  * [new tag]                 ciflow/trunk/165060         -> ciflow/trunk/165060
2025-10-10T00:35:14.6753489Z  * [new tag]                 ciflow/trunk/165065         -> ciflow/trunk/165065
2025-10-10T00:35:14.6753609Z  * [new tag]                 ciflow/trunk/165066         -> ciflow/trunk/165066
2025-10-10T00:35:14.6753741Z  * [new tag]                 ciflow/trunk/165090         -> ciflow/trunk/165090
2025-10-10T00:35:14.6753864Z  * [new tag]                 ciflow/trunk/165094         -> ciflow/trunk/165094
2025-10-10T00:35:14.6754205Z  * [new tag]                 ciflow/trunk/165113         -> ciflow/trunk/165113
2025-10-10T00:35:14.6759081Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-10-10T00:35:14.6759531Z  * [new tag]                 ciflow/vllm/164628          -> ciflow/vllm/164628
2025-10-10T00:35:14.6759783Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-10-10T00:35:14.6760101Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-10-10T00:35:14.6760229Z  * [new tag]                 ciflow/xpu/161485           -> ciflow/xpu/161485
2025-10-10T00:35:14.6760359Z  * [new tag]                 ciflow/xpu/162454           -> ciflow/xpu/162454
2025-10-10T00:35:14.6760491Z  * [new tag]                 ciflow/xpu/163332           -> ciflow/xpu/163332
2025-10-10T00:35:14.6760645Z  * [new tag]                 cslpull75                   -> cslpull75
2025-10-10T00:35:14.6760762Z  * [new tag]                 cslpull76                   -> cslpull76
2025-10-10T00:35:14.6760873Z  * [new tag]                 cslpull77                   -> cslpull77
2025-10-10T00:35:14.6760991Z  * [new tag]                 cslpull78                   -> cslpull78
2025-10-10T00:35:14.6761783Z  * [new tag]                 cslpull79                   -> cslpull79
2025-10-10T00:35:14.6762393Z  * [new tag]                 cslpull80                   -> cslpull80
2025-10-10T00:35:14.6762860Z  * [new tag]                 cslpull81                   -> cslpull81
2025-10-10T00:35:14.6766082Z  * [new tag]                 cslpull82                   -> cslpull82
2025-10-10T00:35:14.6768365Z  * [new tag]                 cslpull83                   -> cslpull83
2025-10-10T00:35:14.6768592Z  * [new tag]                 cslpull84                   -> cslpull84
2025-10-10T00:35:14.6768710Z  * [new tag]                 cslpull85                   -> cslpull85
2025-10-10T00:35:14.6768813Z  * [new tag]                 cslpull86                   -> cslpull86
2025-10-10T00:35:14.6768929Z  * [new tag]                 cslpull87                   -> cslpull87
2025-10-10T00:35:14.6769031Z  * [new tag]                 cslpull88                   -> cslpull88
2025-10-10T00:35:14.6769146Z  * [new tag]                 cslpull89                   -> cslpull89
2025-10-10T00:35:14.6769255Z  * [new tag]                 cslpull90                   -> cslpull90
2025-10-10T00:35:14.6769501Z  * [new tag]                 cslpull91                   -> cslpull91
2025-10-10T00:35:14.6769725Z  * [new tag]                 cslpull92                   -> cslpull92
2025-10-10T00:35:14.6770357Z  * [new tag]                 flight_5                    -> flight_5
2025-10-10T00:35:14.6771150Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-10-10T00:35:14.6771536Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-10-10T00:35:14.6772816Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-10-10T00:35:14.6773357Z  * [new tag]                 forpull1                    -> forpull1
2025-10-10T00:35:14.6773789Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-10-10T00:35:14.6774284Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-10-10T00:35:14.6775128Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-10-10T00:35:14.6775487Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-10-10T00:35:14.6776394Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-10-10T00:35:14.6776690Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-10-10T00:35:14.6777925Z  * [new tag]                 trunk/001e1d263746ae9d121d9c8cf55bc87f777d9dba -> trunk/001e1d263746ae9d121d9c8cf55bc87f777d9dba
2025-10-10T00:35:14.6778252Z  * [new tag]                 trunk/005c3d449e4c655d2eb0d76949a8cd41ce88f979 -> trunk/005c3d449e4c655d2eb0d76949a8cd41ce88f979
2025-10-10T00:35:14.6779347Z  * [new tag]                 trunk/00f0365b959323bab89dc0a5bd5d40589e78edc8 -> trunk/00f0365b959323bab89dc0a5bd5d40589e78edc8
2025-10-10T00:35:14.6779932Z  * [new tag]                 trunk/01f3a43462da594b65a6c9e8b46c132cd360cea9 -> trunk/01f3a43462da594b65a6c9e8b46c132cd360cea9
2025-10-10T00:35:14.6780476Z  * [new tag]                 trunk/0319556a35b01e8857f7bf75df9df3287e1e853a -> trunk/0319556a35b01e8857f7bf75df9df3287e1e853a
2025-10-10T00:35:14.6781092Z  * [new tag]                 trunk/054268c9ebb3291c6fd442e4a1f6602a8ea43ab6 -> trunk/054268c9ebb3291c6fd442e4a1f6602a8ea43ab6
2025-10-10T00:35:14.6781645Z  * [new tag]                 trunk/06d86e58d0309aa2c217256f88d1990a22ec6e4f -> trunk/06d86e58d0309aa2c217256f88d1990a22ec6e4f
2025-10-10T00:35:14.6782329Z  * [new tag]                 trunk/078d475d3bb104823e70ce975c2ee0d4d2fb0952 -> trunk/078d475d3bb104823e70ce975c2ee0d4d2fb0952
2025-10-10T00:35:14.6782966Z  * [new tag]                 trunk/086dec3235d463e751c12ce9eeeb2dfcc873e206 -> trunk/086dec3235d463e751c12ce9eeeb2dfcc873e206
2025-10-10T00:35:14.6784041Z  * [new tag]                 trunk/0a3e4e894cbc0cc93568c5d016f3ad72650cf641 -> trunk/0a3e4e894cbc0cc93568c5d016f3ad72650cf641
2025-10-10T00:35:14.6784818Z  * [new tag]                 trunk/0b01ff4de02035eb21c1bc6bf4b1b627bc1cefaa -> trunk/0b01ff4de02035eb21c1bc6bf4b1b627bc1cefaa
2025-10-10T00:35:14.6785155Z  * [new tag]                 trunk/0b15f7ae059cf4fa3909bbb009d83c0253a6385a -> trunk/0b15f7ae059cf4fa3909bbb009d83c0253a6385a
2025-10-10T00:35:14.6788120Z  * [new tag]                 trunk/0b4f2b46d9e14c1858dd3d0ca9b62e349ae316cf -> trunk/0b4f2b46d9e14c1858dd3d0ca9b62e349ae316cf
2025-10-10T00:35:14.6788882Z  * [new tag]                 trunk/0b85236477fe8a0e32510bcc973b2f34ef981df2 -> trunk/0b85236477fe8a0e32510bcc973b2f34ef981df2
2025-10-10T00:35:14.6789188Z  * [new tag]                 trunk/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> trunk/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:35:14.6789451Z  * [new tag]                 trunk/0e5773b7fadef9e29b006af470b771fad55b5206 -> trunk/0e5773b7fadef9e29b006af470b771fad55b5206
2025-10-10T00:35:14.6789741Z  * [new tag]                 trunk/0e9b3a772ab96e998ab85591d5b2a9c1d41bacb0 -> trunk/0e9b3a772ab96e998ab85591d5b2a9c1d41bacb0
2025-10-10T00:35:14.6791392Z  * [new tag]                 trunk/0fbe3f19c7e88ee1720d2e1579e3fd2cafdaabf9 -> trunk/0fbe3f19c7e88ee1720d2e1579e3fd2cafdaabf9
2025-10-10T00:35:14.6791650Z  * [new tag]                 trunk/0fd976b65c6daf3799a501d9202e4f50144446d1 -> trunk/0fd976b65c6daf3799a501d9202e4f50144446d1
2025-10-10T00:35:14.6792168Z  * [new tag]                 trunk/1051c1de5c0c1d34bec94c4a3199ac7b23bb19e1 -> trunk/1051c1de5c0c1d34bec94c4a3199ac7b23bb19e1
2025-10-10T00:35:14.6792450Z  * [new tag]                 trunk/115af42e9d57e89c26777be72822107cd7b39e07 -> trunk/115af42e9d57e89c26777be72822107cd7b39e07
2025-10-10T00:35:14.6792710Z  * [new tag]                 trunk/11f5f656867089dac1fa1e64e34c9966578fbddd -> trunk/11f5f656867089dac1fa1e64e34c9966578fbddd
2025-10-10T00:35:14.6800307Z  * [new tag]                 trunk/12d2ef557f6e127100267c31a31572d8ab5cc788 -> trunk/12d2ef557f6e127100267c31a31572d8ab5cc788
2025-10-10T00:35:14.6800626Z  * [new tag]                 trunk/144378615a5a2b347e39c6376cba7d75f7a82926 -> trunk/144378615a5a2b347e39c6376cba7d75f7a82926
2025-10-10T00:35:14.6800877Z  * [new tag]                 trunk/14791ea947349fb5fa7b7d6230cfd3924c36ba27 -> trunk/14791ea947349fb5fa7b7d6230cfd3924c36ba27
2025-10-10T00:35:14.6801128Z  * [new tag]                 trunk/15800888b697bacd555399b3a0ca2e8d0827528e -> trunk/15800888b697bacd555399b3a0ca2e8d0827528e
2025-10-10T00:35:14.6801392Z  * [new tag]                 trunk/15c8bdcc5e3a6dfd14e5c977438f772031e064ff -> trunk/15c8bdcc5e3a6dfd14e5c977438f772031e064ff
2025-10-10T00:35:14.6805835Z  * [new tag]                 trunk/15d726005ddc5558c934c3edd5f815c2e504e501 -> trunk/15d726005ddc5558c934c3edd5f815c2e504e501
2025-10-10T00:35:14.6806134Z  * [new tag]                 trunk/16f9bef642b07b3090a6e4a04517eff84d41a197 -> trunk/16f9bef642b07b3090a6e4a04517eff84d41a197
2025-10-10T00:35:14.6806624Z  * [new tag]                 trunk/17c7170ca6e2efd5ead2b93bd12e226ff48f0669 -> trunk/17c7170ca6e2efd5ead2b93bd12e226ff48f0669
2025-10-10T00:35:14.6806895Z  * [new tag]                 trunk/184817c7a81d5c01e107a84efeb269b063ddf5d6 -> trunk/184817c7a81d5c01e107a84efeb269b063ddf5d6
2025-10-10T00:35:14.6807146Z  * [new tag]                 trunk/18940820006d2304460008575561e2e8e7fc59fc -> trunk/18940820006d2304460008575561e2e8e7fc59fc
2025-10-10T00:35:14.6807395Z  * [new tag]                 trunk/18e18488e8c90e53cc113b1a5eddd9640ee80292 -> trunk/18e18488e8c90e53cc113b1a5eddd9640ee80292
2025-10-10T00:35:14.6807657Z  * [new tag]                 trunk/1927783aa3ad676db6f4c34fc77ef3825a4e2ed5 -> trunk/1927783aa3ad676db6f4c34fc77ef3825a4e2ed5
2025-10-10T00:35:14.6807927Z  * [new tag]                 trunk/19bf67be3286c0e2babe83af0d1593bae850362a -> trunk/19bf67be3286c0e2babe83af0d1593bae850362a
2025-10-10T00:35:14.6808177Z  * [new tag]                 trunk/1bb68271b7ff1b582845384c6c7f7b1593ae1619 -> trunk/1bb68271b7ff1b582845384c6c7f7b1593ae1619
2025-10-10T00:35:14.6808447Z  * [new tag]                 trunk/1d182dd81c3143697337e35d046fd02951dedb09 -> trunk/1d182dd81c3143697337e35d046fd02951dedb09
2025-10-10T00:35:14.6808706Z  * [new tag]                 trunk/1e42fde45eff81845f269e8185f54a19f6d87c5b -> trunk/1e42fde45eff81845f269e8185f54a19f6d87c5b
2025-10-10T00:35:14.6808969Z  * [new tag]                 trunk/1f73b96668bc6ae4c8e7ef5b630ff5f3c69ae005 -> trunk/1f73b96668bc6ae4c8e7ef5b630ff5f3c69ae005
2025-10-10T00:35:14.6809228Z  * [new tag]                 trunk/1f8ee5da117952b03f0050a178d69f8e7189b0f8 -> trunk/1f8ee5da117952b03f0050a178d69f8e7189b0f8
2025-10-10T00:35:14.6809486Z  * [new tag]                 trunk/1f9614cef8e0272c8e3bd99004d2978a6ecc5195 -> trunk/1f9614cef8e0272c8e3bd99004d2978a6ecc5195
2025-10-10T00:35:14.6809741Z  * [new tag]                 trunk/1fb072ac2a33af93a77888dddbdd228b22a3f9c4 -> trunk/1fb072ac2a33af93a77888dddbdd228b22a3f9c4
2025-10-10T00:35:14.6810007Z  * [new tag]                 trunk/1fc71d1b578badb1b3ba7cc2d5795f4f80463749 -> trunk/1fc71d1b578badb1b3ba7cc2d5795f4f80463749
2025-10-10T00:35:14.6810266Z  * [new tag]                 trunk/20082d713666fa1eade588bebd523d86309bfa25 -> trunk/20082d713666fa1eade588bebd523d86309bfa25
2025-10-10T00:35:14.6810512Z  * [new tag]                 trunk/2164b661219ab0a76aa018e955ba3d8e8f99c083 -> trunk/2164b661219ab0a76aa018e955ba3d8e8f99c083
2025-10-10T00:35:14.6810762Z  * [new tag]                 trunk/228973df7f770505aafc6fc17b99f81ac58bdfe1 -> trunk/228973df7f770505aafc6fc17b99f81ac58bdfe1
2025-10-10T00:35:14.6811053Z  * [new tag]                 trunk/22b1710252525d80d47ba95c762ccdbf577b2dc2 -> trunk/22b1710252525d80d47ba95c762ccdbf577b2dc2
2025-10-10T00:35:14.6811308Z  * [new tag]                 trunk/22e219d9969ff3cee85bc5de32fa49d5a549a148 -> trunk/22e219d9969ff3cee85bc5de32fa49d5a549a148
2025-10-10T00:35:14.6811560Z  * [new tag]                 trunk/235b995ce18de632ab816940319fcd66b46039b8 -> trunk/235b995ce18de632ab816940319fcd66b46039b8
2025-10-10T00:35:14.6811826Z  * [new tag]                 trunk/23ab6a45e5c759fb4714905cb8c84ef74c70aa67 -> trunk/23ab6a45e5c759fb4714905cb8c84ef74c70aa67
2025-10-10T00:35:14.6813661Z  * [new tag]                 trunk/24d69c57cbaa94cc828dbbdf83c889f5f244ae28 -> trunk/24d69c57cbaa94cc828dbbdf83c889f5f244ae28
2025-10-10T00:35:14.6813926Z  * [new tag]                 trunk/263db92563f0ae71bf3e4fc265fbb48e79f9f23f -> trunk/263db92563f0ae71bf3e4fc265fbb48e79f9f23f
2025-10-10T00:35:14.6814182Z  * [new tag]                 trunk/27234792add2ee9bedd84ca02dbf34f8f244bc5c -> trunk/27234792add2ee9bedd84ca02dbf34f8f244bc5c
2025-10-10T00:35:14.6814466Z  * [new tag]                 trunk/27eb36debbe3fa2d43a2f893a5c46a6257a09460 -> trunk/27eb36debbe3fa2d43a2f893a5c46a6257a09460
2025-10-10T00:35:14.6815163Z  * [new tag]                 trunk/2855a045b30dafad7a08d66e242be13770189c19 -> trunk/2855a045b30dafad7a08d66e242be13770189c19
2025-10-10T00:35:14.6815658Z  * [new tag]                 trunk/2883b5ab773daf5861d43ff0b65be49a441ab3f9 -> trunk/2883b5ab773daf5861d43ff0b65be49a441ab3f9
2025-10-10T00:35:14.6816279Z  * [new tag]                 trunk/29824067215f3ed9e4044ca0f31a71e9d95f237d -> trunk/29824067215f3ed9e4044ca0f31a71e9d95f237d
2025-10-10T00:35:14.6820098Z  * [new tag]                 trunk/2a11ce2c787b2339ffb8941b849dd487d25b4121 -> trunk/2a11ce2c787b2339ffb8941b849dd487d25b4121
2025-10-10T00:35:14.6820397Z  * [new tag]                 trunk/2a6cdba6e5f74c2294fecc2d1344537522efbaab -> trunk/2a6cdba6e5f74c2294fecc2d1344537522efbaab
2025-10-10T00:35:14.6820671Z  * [new tag]                 trunk/2a760dc51e04d65845440cc09e7016cfc74f9132 -> trunk/2a760dc51e04d65845440cc09e7016cfc74f9132
2025-10-10T00:35:14.6820909Z  * [new tag]                 trunk/2a7c48675010056f23d62b5c6ecb318782801723 -> trunk/2a7c48675010056f23d62b5c6ecb318782801723
2025-10-10T00:35:14.6821177Z  * [new tag]                 trunk/2b58adc3bdcf9476e1cef49ad965b7d3c7b9ac24 -> trunk/2b58adc3bdcf9476e1cef49ad965b7d3c7b9ac24
2025-10-10T00:35:14.6821436Z  * [new tag]                 trunk/2b9ff9953523a2e916234c9197d946f4cff976c7 -> trunk/2b9ff9953523a2e916234c9197d946f4cff976c7
2025-10-10T00:35:14.6821717Z  * [new tag]                 trunk/2c2e1268b7aae8ed610d12f2d38d39f8d93888a3 -> trunk/2c2e1268b7aae8ed610d12f2d38d39f8d93888a3
2025-10-10T00:35:14.6821974Z  * [new tag]                 trunk/2c5ed6e7c067573b093725cd15d13812d9647562 -> trunk/2c5ed6e7c067573b093725cd15d13812d9647562
2025-10-10T00:35:14.6822252Z  * [new tag]                 trunk/2d50678dcc7ab2da13a9bca6af8f2333e8970344 -> trunk/2d50678dcc7ab2da13a9bca6af8f2333e8970344
2025-10-10T00:35:14.6822716Z  * [new tag]                 trunk/2e027e874232fefe7b1c56ce8aeb26c0e6b97f15 -> trunk/2e027e874232fefe7b1c56ce8aeb26c0e6b97f15
2025-10-10T00:35:14.6825628Z  * [new tag]                 trunk/2e1742dd63c2168fd9649dbba96a95abf1f57cae -> trunk/2e1742dd63c2168fd9649dbba96a95abf1f57cae
2025-10-10T00:35:14.6825900Z  * [new tag]                 trunk/2fe37b5fde392535a3238f975c93dd202cd3e24b -> trunk/2fe37b5fde392535a3238f975c93dd202cd3e24b
2025-10-10T00:35:14.6826182Z  * [new tag]                 trunk/3040a5d294bd30d3938d0043a5d93d6c23264827 -> trunk/3040a5d294bd30d3938d0043a5d93d6c23264827
2025-10-10T00:35:14.6826433Z  * [new tag]                 trunk/321e6026925f6b6e8a36e3a8b7c0295cd7541911 -> trunk/321e6026925f6b6e8a36e3a8b7c0295cd7541911
2025-10-10T00:35:14.6826679Z  * [new tag]                 trunk/322091d8d8542a0cbff524306029bef4d7338747 -> trunk/322091d8d8542a0cbff524306029bef4d7338747
2025-10-10T00:35:14.6827031Z  * [new tag]                 trunk/3288fbf374128610928e27d03615ac0d46a6ce14 -> trunk/3288fbf374128610928e27d03615ac0d46a6ce14
2025-10-10T00:35:14.6827292Z  * [new tag]                 trunk/331191ce4b29b5d7d3bb7f0e7454ca70c06fbd26 -> trunk/331191ce4b29b5d7d3bb7f0e7454ca70c06fbd26
2025-10-10T00:35:14.6827543Z  * [new tag]                 trunk/33b17bc619b044a0050797987efb8890d43319df -> trunk/33b17bc619b044a0050797987efb8890d43319df
2025-10-10T00:35:14.6828219Z  * [new tag]                 trunk/34042a9145fe28033e7edb08f1fcf90ed197f4ac -> trunk/34042a9145fe28033e7edb08f1fcf90ed197f4ac
2025-10-10T00:35:14.6828897Z  * [new tag]                 trunk/344e6365a0068c2d2847fcec0c55dd53291d475e -> trunk/344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:35:14.6829571Z  * [new tag]                 trunk/34ac9b61cbfcf17328ccb8b729509829447fdddd -> trunk/34ac9b61cbfcf17328ccb8b729509829447fdddd
2025-10-10T00:35:14.6830102Z  * [new tag]                 trunk/35c4130fd1358c98e12301ffa0f1b2294e0c795f -> trunk/35c4130fd1358c98e12301ffa0f1b2294e0c795f
2025-10-10T00:35:14.6830687Z  * [new tag]                 trunk/35f66b83f89a571d0c0abe16c66a23120b92bdaf -> trunk/35f66b83f89a571d0c0abe16c66a23120b92bdaf
2025-10-10T00:35:14.6831232Z  * [new tag]                 trunk/361c5d362c4ea1950e05116899cfcf753c345ebd -> trunk/361c5d362c4ea1950e05116899cfcf753c345ebd
2025-10-10T00:35:14.6831894Z  * [new tag]                 trunk/37c6087334cce3ad4bc9838ea2ef63aba89f2253 -> trunk/37c6087334cce3ad4bc9838ea2ef63aba89f2253
2025-10-10T00:35:14.6832539Z  * [new tag]                 trunk/3912ba3e940b9354622fa09b2ada677cd10723d8 -> trunk/3912ba3e940b9354622fa09b2ada677cd10723d8
2025-10-10T00:35:14.6833099Z  * [new tag]                 trunk/39189592fd688979e56063430ed5a038d999908f -> trunk/39189592fd688979e56063430ed5a038d999908f
2025-10-10T00:35:14.6833688Z  * [new tag]                 trunk/3924f784ba81f87fe09988d6fc9620b57e4d9f72 -> trunk/3924f784ba81f87fe09988d6fc9620b57e4d9f72
2025-10-10T00:35:14.6834332Z  * [new tag]                 trunk/39b31a6bfde6e046383ae2b06fe0b68df5cdbdd2 -> trunk/39b31a6bfde6e046383ae2b06fe0b68df5cdbdd2
2025-10-10T00:35:14.6835016Z  * [new tag]                 trunk/39c340ec9e2ee3011f1d260f581b5a95f3c99039 -> trunk/39c340ec9e2ee3011f1d260f581b5a95f3c99039
2025-10-10T00:35:14.6835526Z  * [new tag]                 trunk/39d0c06ed0d7bc634d7f1a4e84b69f66d1ea0798 -> trunk/39d0c06ed0d7bc634d7f1a4e84b69f66d1ea0798
2025-10-10T00:35:14.6835984Z  * [new tag]                 trunk/3c0577bd15778c96cecf0e7a5e5958d7fcab64f0 -> trunk/3c0577bd15778c96cecf0e7a5e5958d7fcab64f0
2025-10-10T00:35:14.6836713Z  * [new tag]                 trunk/3c59351c6ea2fc29d346903e28e95c5f4d0ccdbb -> trunk/3c59351c6ea2fc29d346903e28e95c5f4d0ccdbb
2025-10-10T00:35:14.6837391Z  * [new tag]                 trunk/3c5ca685d6f5b6f3971c0cd20a054aa355610419 -> trunk/3c5ca685d6f5b6f3971c0cd20a054aa355610419
2025-10-10T00:35:14.6838069Z  * [new tag]                 trunk/3ca09d65f1bdf83142dc9fe47976227ae4a88e7b -> trunk/3ca09d65f1bdf83142dc9fe47976227ae4a88e7b
2025-10-10T00:35:14.6839186Z  * [new tag]                 trunk/3cc8af2d67f42bf2a933796290446c5ab8978aac -> trunk/3cc8af2d67f42bf2a933796290446c5ab8978aac
2025-10-10T00:35:14.6839469Z  * [new tag]                 trunk/3d1fa40ae1fee18ddf3dca89229e3ae828589e0c -> trunk/3d1fa40ae1fee18ddf3dca89229e3ae828589e0c
2025-10-10T00:35:14.6840153Z  * [new tag]                 trunk/3d9d41c80168bcd3c569345a96682c42a5eba36a -> trunk/3d9d41c80168bcd3c569345a96682c42a5eba36a
2025-10-10T00:35:14.6840724Z  * [new tag]                 trunk/3db21643417a04f6f2707a783ac32a538a98d53d -> trunk/3db21643417a04f6f2707a783ac32a538a98d53d
2025-10-10T00:35:14.6841345Z  * [new tag]                 trunk/3ddf2018d0b7b4def0553dc092d928ef831a19c3 -> trunk/3ddf2018d0b7b4def0553dc092d928ef831a19c3
2025-10-10T00:35:14.6841990Z  * [new tag]                 trunk/3e03deab6f3c268c85c8efd9546e28cdda0fa4cc -> trunk/3e03deab6f3c268c85c8efd9546e28cdda0fa4cc
2025-10-10T00:35:14.6845590Z  * [new tag]                 trunk/3e0826c9d792ae87373dc0ff5d46c260020de29f -> trunk/3e0826c9d792ae87373dc0ff5d46c260020de29f
2025-10-10T00:35:14.6846016Z  * [new tag]                 trunk/409aece3f9436a2f740f1b97f1243f738f6bbbf6 -> trunk/409aece3f9436a2f740f1b97f1243f738f6bbbf6
2025-10-10T00:35:14.6846280Z  * [new tag]                 trunk/40b25578e4ecb7ef1c38201b3ce0014eb57c53eb -> trunk/40b25578e4ecb7ef1c38201b3ce0014eb57c53eb
2025-10-10T00:35:14.6846542Z  * [new tag]                 trunk/412c6d28ec3869ef8ba962b290d755251e7cc3c1 -> trunk/412c6d28ec3869ef8ba962b290d755251e7cc3c1
2025-10-10T00:35:14.6846807Z  * [new tag]                 trunk/415e641572473479fc9d9eaea12762e1a223a9e0 -> trunk/415e641572473479fc9d9eaea12762e1a223a9e0
2025-10-10T00:35:14.6847068Z  * [new tag]                 trunk/41808b2ba9a61ab2f4c7af394c1668d09a4a0331 -> trunk/41808b2ba9a61ab2f4c7af394c1668d09a4a0331
2025-10-10T00:35:14.6847317Z  * [new tag]                 trunk/4308b8a28fa332d23ad6d25a472559b354619131 -> trunk/4308b8a28fa332d23ad6d25a472559b354619131
2025-10-10T00:35:14.6847583Z  * [new tag]                 trunk/43848b71d9af0223eafdd1755bf7444aafe9e993 -> trunk/43848b71d9af0223eafdd1755bf7444aafe9e993
2025-10-10T00:35:14.6847843Z  * [new tag]                 trunk/43fc859625f9c0a794307b3ef30c26ab3fc2bfec -> trunk/43fc859625f9c0a794307b3ef30c26ab3fc2bfec
2025-10-10T00:35:14.6848103Z  * [new tag]                 trunk/4412026949b562f940d4c24162de19d299725b62 -> trunk/4412026949b562f940d4c24162de19d299725b62
2025-10-10T00:35:14.6848765Z  * [new tag]                 trunk/44a5d419935a77b3308f247279a457e6d0b9a292 -> trunk/44a5d419935a77b3308f247279a457e6d0b9a292
2025-10-10T00:35:14.6849631Z  * [new tag]                 trunk/4661200125ba9c87aa7d54a55e585403b5ce5040 -> trunk/4661200125ba9c87aa7d54a55e585403b5ce5040
2025-10-10T00:35:14.6850105Z  * [new tag]                 trunk/4691fe60700ac51a878775fd23a8f7c4548c6757 -> trunk/4691fe60700ac51a878775fd23a8f7c4548c6757
2025-10-10T00:35:14.6850941Z  * [new tag]                 trunk/4725871a815fb880e89135a493c8c94ab9bbfece -> trunk/4725871a815fb880e89135a493c8c94ab9bbfece
2025-10-10T00:35:14.6851969Z  * [new tag]                 trunk/47956196d99166fe9083beb2a52fd2e6c90b2011 -> trunk/47956196d99166fe9083beb2a52fd2e6c90b2011
2025-10-10T00:35:14.6852229Z  * [new tag]                 trunk/483f4e0db91166128ad8922d86dc7222338d4ecc -> trunk/483f4e0db91166128ad8922d86dc7222338d4ecc
2025-10-10T00:35:14.6853834Z  * [new tag]                 trunk/48b54b45d62af7ecafccc5afede04474cb236f1a -> trunk/48b54b45d62af7ecafccc5afede04474cb236f1a
2025-10-10T00:35:14.6854107Z  * [new tag]                 trunk/49f7d8d19d24f616b11ef050535a211245aed649 -> trunk/49f7d8d19d24f616b11ef050535a211245aed649
2025-10-10T00:35:14.6854362Z  * [new tag]                 trunk/4a0df39f814afad087e8b29dd2914a8b54567694 -> trunk/4a0df39f814afad087e8b29dd2914a8b54567694
2025-10-10T00:35:14.6854647Z  * [new tag]                 trunk/4a6abba0d9fb3dc0f29b5efe527e26b2962caec1 -> trunk/4a6abba0d9fb3dc0f29b5efe527e26b2962caec1
2025-10-10T00:35:14.6855153Z  * [new tag]                 trunk/4ab847bbc7ba09f29a4e81494e8a752dcb411117 -> trunk/4ab847bbc7ba09f29a4e81494e8a752dcb411117
2025-10-10T00:35:14.6855638Z  * [new tag]                 trunk/4bcc05777e780e834d44a2d06dd5321daec316f0 -> trunk/4bcc05777e780e834d44a2d06dd5321daec316f0
2025-10-10T00:35:14.6856194Z  * [new tag]                 trunk/4bd1505f849e701a8e54f9d185c23f13e7324498 -> trunk/4bd1505f849e701a8e54f9d185c23f13e7324498
2025-10-10T00:35:14.6857165Z  * [new tag]                 trunk/4c0fec3e4dac35b9e9dec2beacfb5967906a4701 -> trunk/4c0fec3e4dac35b9e9dec2beacfb5967906a4701
2025-10-10T00:35:14.6857528Z  * [new tag]                 trunk/4c3c0ef2f10415f5d5b13f1c842f91bb90ee91d3 -> trunk/4c3c0ef2f10415f5d5b13f1c842f91bb90ee91d3
2025-10-10T00:35:14.6858502Z  * [new tag]                 trunk/4d7f9f3aed68729380730ed46e29ff2052f05b73 -> trunk/4d7f9f3aed68729380730ed46e29ff2052f05b73
2025-10-10T00:35:14.6858757Z  * [new tag]                 trunk/50e077beaaf71798f870552f3849e4a52c784df5 -> trunk/50e077beaaf71798f870552f3849e4a52c784df5
2025-10-10T00:35:14.6859312Z  * [new tag]                 trunk/5103ecc5d8f0cc90e686763652e2d84c22d83ca9 -> trunk/5103ecc5d8f0cc90e686763652e2d84c22d83ca9
2025-10-10T00:35:14.6861000Z  * [new tag]                 trunk/5178d0a480f8f4e21da3757de455c8215b249ec5 -> trunk/5178d0a480f8f4e21da3757de455c8215b249ec5
2025-10-10T00:35:14.6863494Z  * [new tag]                 trunk/5209c8ce0704f34ba4bd2a58c19877fbf6cf0392 -> trunk/5209c8ce0704f34ba4bd2a58c19877fbf6cf0392
2025-10-10T00:35:14.6869181Z  * [new tag]                 trunk/5390324984c43f1214b8abf731ad495ba2df5341 -> trunk/5390324984c43f1214b8abf731ad495ba2df5341
2025-10-10T00:35:14.6871634Z  * [new tag]                 trunk/53f5af8c924aba3c0fab1fabc6baf7d6affcb8a1 -> trunk/53f5af8c924aba3c0fab1fabc6baf7d6affcb8a1
2025-10-10T00:35:14.6872086Z  * [new tag]                 trunk/54ae61c573e91fa2a2c6430435059e2d94ecba2e -> trunk/54ae61c573e91fa2a2c6430435059e2d94ecba2e
2025-10-10T00:35:14.6872368Z  * [new tag]                 trunk/5656d45c8ff03cf20fd7d5098247c2250395af8a -> trunk/5656d45c8ff03cf20fd7d5098247c2250395af8a
2025-10-10T00:35:14.6872653Z  * [new tag]                 trunk/56d66ac0d74f44d7b656757795142b5b9a1802a1 -> trunk/56d66ac0d74f44d7b656757795142b5b9a1802a1
2025-10-10T00:35:14.6872912Z  * [new tag]                 trunk/5743d731c1de495ecf3bb03682a2dcbe207ca895 -> trunk/5743d731c1de495ecf3bb03682a2dcbe207ca895
2025-10-10T00:35:14.6873304Z  * [new tag]                 trunk/5a1fbf45ad727353e367740ecd8825ca7ee857e9 -> trunk/5a1fbf45ad727353e367740ecd8825ca7ee857e9
2025-10-10T00:35:14.6874048Z  * [new tag]                 trunk/5a66ff4915ecfd86f1a68e7862e5a2ad473e5a79 -> trunk/5a66ff4915ecfd86f1a68e7862e5a2ad473e5a79
2025-10-10T00:35:14.6874372Z  * [new tag]                 trunk/5b0b4cda4aa03bee16ee67d9d36012a539df3c50 -> trunk/5b0b4cda4aa03bee16ee67d9d36012a539df3c50
2025-10-10T00:35:14.6874627Z  * [new tag]                 trunk/5b8174bc286725f9326fba6dc0ef17c316486bbd -> trunk/5b8174bc286725f9326fba6dc0ef17c316486bbd
2025-10-10T00:35:14.6874901Z  * [new tag]                 trunk/5ba11df4f871717818b88c4eab514d31286601d1 -> trunk/5ba11df4f871717818b88c4eab514d31286601d1
2025-10-10T00:35:14.6875148Z  * [new tag]                 trunk/5c827a4133da69108338d0363bb7ad7f62803c40 -> trunk/5c827a4133da69108338d0363bb7ad7f62803c40
2025-10-10T00:35:14.6875417Z  * [new tag]                 trunk/5d459dd6099ef94d33db9a6d36bcce9f742f1da1 -> trunk/5d459dd6099ef94d33db9a6d36bcce9f742f1da1
2025-10-10T00:35:14.6875681Z  * [new tag]                 trunk/5d7360bb03355c89c0b956df0ab428f5a7b5c9f8 -> trunk/5d7360bb03355c89c0b956df0ab428f5a7b5c9f8
2025-10-10T00:35:14.6875959Z  * [new tag]                 trunk/5dbae1eae26159058f6199fc68fe73fc0e5bef5f -> trunk/5dbae1eae26159058f6199fc68fe73fc0e5bef5f
2025-10-10T00:35:14.6876229Z  * [new tag]                 trunk/5e47b4dd60ff9efb253286af5a2479d9d800ce6a -> trunk/5e47b4dd60ff9efb253286af5a2479d9d800ce6a
2025-10-10T00:35:14.6876489Z  * [new tag]                 trunk/5ed4270440fd0b62d3aa14692f9e377a0061061e -> trunk/5ed4270440fd0b62d3aa14692f9e377a0061061e
2025-10-10T00:35:14.6876771Z  * [new tag]                 trunk/5f18f240de43fc24481ead4d740dda64f174fa86 -> trunk/5f18f240de43fc24481ead4d740dda64f174fa86
2025-10-10T00:35:14.6877046Z  * [new tag]                 trunk/5f775bdfb766d9a2717ffbb64f2a51e53cddc778 -> trunk/5f775bdfb766d9a2717ffbb64f2a51e53cddc778
2025-10-10T00:35:14.6877318Z  * [new tag]                 trunk/600267ea56cafcf8f9a1150a4379184960a757b2 -> trunk/600267ea56cafcf8f9a1150a4379184960a757b2
2025-10-10T00:35:14.6877585Z  * [new tag]                 trunk/600db525bdb5e76c12f30f271d969d43a7f8efef -> trunk/600db525bdb5e76c12f30f271d969d43a7f8efef
2025-10-10T00:35:14.6877847Z  * [new tag]                 trunk/608792153f42254d2d2b5a87d524807a0c2724f1 -> trunk/608792153f42254d2d2b5a87d524807a0c2724f1
2025-10-10T00:35:14.6878099Z  * [new tag]                 trunk/6389658ec6b1ea58cb1de032266d865eeb8d48e9 -> trunk/6389658ec6b1ea58cb1de032266d865eeb8d48e9
2025-10-10T00:35:14.6878368Z  * [new tag]                 trunk/64108bdbed2f099d527060b4c9fdd5a11cad2afc -> trunk/64108bdbed2f099d527060b4c9fdd5a11cad2afc
2025-10-10T00:35:14.6878684Z  * [new tag]                 trunk/65aa62d50d1c83aa1b46ed4d584f12f509bab1c4 -> trunk/65aa62d50d1c83aa1b46ed4d584f12f509bab1c4
2025-10-10T00:35:14.6878949Z  * [new tag]                 trunk/65f10becdf21f3a0947a735904fcce876ce3c4b0 -> trunk/65f10becdf21f3a0947a735904fcce876ce3c4b0
2025-10-10T00:35:14.6879223Z  * [new tag]                 trunk/660e369a68dd8be60ce4eb67c25191ea66efc303 -> trunk/660e369a68dd8be60ce4eb67c25191ea66efc303
2025-10-10T00:35:14.6879488Z  * [new tag]                 trunk/68350660ee2db8c21c84527929b92de9f0bcc3e2 -> trunk/68350660ee2db8c21c84527929b92de9f0bcc3e2
2025-10-10T00:35:14.6879754Z  * [new tag]                 trunk/6861a270624b44954826688f8dad668eb0154452 -> trunk/6861a270624b44954826688f8dad668eb0154452
2025-10-10T00:35:14.6880029Z  * [new tag]                 trunk/6861fa43e5fee7fedc0213e352fa983edea8aa78 -> trunk/6861fa43e5fee7fedc0213e352fa983edea8aa78
2025-10-10T00:35:14.6880552Z  * [new tag]                 trunk/688efd9741dbd18c176729aec3df7a73825f8463 -> trunk/688efd9741dbd18c176729aec3df7a73825f8463
2025-10-10T00:35:14.6884509Z  * [new tag]                 trunk/6a09f9306cadd003b2e6abc3f6422a2d8607779b -> trunk/6a09f9306cadd003b2e6abc3f6422a2d8607779b
2025-10-10T00:35:14.6884838Z  * [new tag]                 trunk/6a31f42da45c0f1cbdb021b3695f0e6388b8b532 -> trunk/6a31f42da45c0f1cbdb021b3695f0e6388b8b532
2025-10-10T00:35:14.6885243Z  * [new tag]                 trunk/6a7f5c0d21a22959d014c8b06f3efe3408336aaf -> trunk/6a7f5c0d21a22959d014c8b06f3efe3408336aaf
2025-10-10T00:35:14.6885497Z  * [new tag]                 trunk/6b768e1890a179122e91395c5532a382d69b96a0 -> trunk/6b768e1890a179122e91395c5532a382d69b96a0
2025-10-10T00:35:14.6885749Z  * [new tag]                 trunk/6b7970192f5de47d29a4fe085f509389ac0bea7d -> trunk/6b7970192f5de47d29a4fe085f509389ac0bea7d
2025-10-10T00:35:14.6886004Z  * [new tag]                 trunk/6bb021c12553755a4f64df0b60dc34b1efdb992b -> trunk/6bb021c12553755a4f64df0b60dc34b1efdb992b
2025-10-10T00:35:14.6886435Z  * [new tag]                 trunk/6bb586eafd723d4972c729f37c14f27c88168adc -> trunk/6bb586eafd723d4972c729f37c14f27c88168adc
2025-10-10T00:35:14.6887294Z  * [new tag]                 trunk/6c0125dbc0241aef962528651df4f67204a8b526 -> trunk/6c0125dbc0241aef962528651df4f67204a8b526
2025-10-10T00:35:14.6887563Z  * [new tag]                 trunk/6c209bfc5c1e1e59e6a62f94151398d66164bb93 -> trunk/6c209bfc5c1e1e59e6a62f94151398d66164bb93
2025-10-10T00:35:14.6887841Z  * [new tag]                 trunk/6c3c9414eb571b34ff0d932978e4733dbb08dc1d -> trunk/6c3c9414eb571b34ff0d932978e4733dbb08dc1d
2025-10-10T00:35:14.6888513Z  * [new tag]                 trunk/6d27a8e5093ee2a21d44dceeeffcb272e6e0f655 -> trunk/6d27a8e5093ee2a21d44dceeeffcb272e6e0f655
2025-10-10T00:35:14.6888825Z  * [new tag]                 trunk/702f6e703b1d3a942346848b65a9f2a37d12ae18 -> trunk/702f6e703b1d3a942346848b65a9f2a37d12ae18
2025-10-10T00:35:14.6889533Z  * [new tag]                 trunk/7158aa22e8dc97fdc2657cf0d4cde34b277e7d9e -> trunk/7158aa22e8dc97fdc2657cf0d4cde34b277e7d9e
2025-10-10T00:35:14.6890312Z  * [new tag]                 trunk/71aefd5595834dd97f38aa978ee32abbd13ac3d6 -> trunk/71aefd5595834dd97f38aa978ee32abbd13ac3d6
2025-10-10T00:35:14.6891200Z  * [new tag]                 trunk/724463d5a2fba369cd14e89215b84d1b01435df7 -> trunk/724463d5a2fba369cd14e89215b84d1b01435df7
2025-10-10T00:35:14.6891688Z  * [new tag]                 trunk/73adac05d13babb75410c3e033fdce57aa16881a -> trunk/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:35:14.6892449Z  * [new tag]                 trunk/7457d139c51124e5a31a6173f99f81f0deb52178 -> trunk/7457d139c51124e5a31a6173f99f81f0deb52178
2025-10-10T00:35:14.6893440Z  * [new tag]                 trunk/746fe78ecd52f3e9cfddda41f0ac82dada7bdd0b -> trunk/746fe78ecd52f3e9cfddda41f0ac82dada7bdd0b
2025-10-10T00:35:14.6893804Z  * [new tag]                 trunk/7617b113ad0045cdfe5cf1feb8efb634a41c6ce2 -> trunk/7617b113ad0045cdfe5cf1feb8efb634a41c6ce2
2025-10-10T00:35:14.6894269Z  * [new tag]                 trunk/7a1ead755f2e2abe8be49a7a0fb88b6b13973147 -> trunk/7a1ead755f2e2abe8be49a7a0fb88b6b13973147
2025-10-10T00:35:14.6894981Z  * [new tag]                 trunk/7b15534434aeaf59a4c9189f52b4ebd4a5d58803 -> trunk/7b15534434aeaf59a4c9189f52b4ebd4a5d58803
2025-10-10T00:35:14.6895816Z  * [new tag]                 trunk/7b691546d2949790ffc8f6bd3c674faa6a46ff7c -> trunk/7b691546d2949790ffc8f6bd3c674faa6a46ff7c
2025-10-10T00:35:14.6896196Z  * [new tag]                 trunk/7cfecd76b2141d81c90d722dc5e3262bdf7ea900 -> trunk/7cfecd76b2141d81c90d722dc5e3262bdf7ea900
2025-10-10T00:35:14.6896861Z  * [new tag]                 trunk/7d570129e0cea8dd3de0175baff96723656ab8ab -> trunk/7d570129e0cea8dd3de0175baff96723656ab8ab
2025-10-10T00:35:14.6901584Z  * [new tag]                 trunk/7e7ac2039d5d5f35373c4de6cdf0ccdee3734c7a -> trunk/7e7ac2039d5d5f35373c4de6cdf0ccdee3734c7a
2025-10-10T00:35:14.6901883Z  * [new tag]                 trunk/7eb1eb4313cfa3db1beadc6d9d04ea6b76acc39c -> trunk/7eb1eb4313cfa3db1beadc6d9d04ea6b76acc39c
2025-10-10T00:35:14.6902148Z  * [new tag]                 trunk/801e282f39e9ef4424dfd3ecfd2b550a44595229 -> trunk/801e282f39e9ef4424dfd3ecfd2b550a44595229
2025-10-10T00:35:14.6902385Z  * [new tag]                 trunk/81994b08a078b30e076d408713f78c9bf4e329e7 -> trunk/81994b08a078b30e076d408713f78c9bf4e329e7
2025-10-10T00:35:14.6902629Z  * [new tag]                 trunk/81dbeb06f4b3eb6c56625ec25d377eb7c7c6c573 -> trunk/81dbeb06f4b3eb6c56625ec25d377eb7c7c6c573
2025-10-10T00:35:14.6903046Z  * [new tag]                 trunk/83458197d14921f797565135f0f45031c362338d -> trunk/83458197d14921f797565135f0f45031c362338d
2025-10-10T00:35:14.6903294Z  * [new tag]                 trunk/83d71dfb2fd993a6242372b8123549acaa85ffdb -> trunk/83d71dfb2fd993a6242372b8123549acaa85ffdb
2025-10-10T00:35:14.6903535Z  * [new tag]                 trunk/86474ce996d168b404592cbbdfcc30d6607c8bd4 -> trunk/86474ce996d168b404592cbbdfcc30d6607c8bd4
2025-10-10T00:35:14.6903779Z  * [new tag]                 trunk/86c789849eac1f96d03cf273e7995dbc7d319c26 -> trunk/86c789849eac1f96d03cf273e7995dbc7d319c26
2025-10-10T00:35:14.6904011Z  * [new tag]                 trunk/874efa2d72d83b00894097130f18062ce331a265 -> trunk/874efa2d72d83b00894097130f18062ce331a265
2025-10-10T00:35:14.6904256Z  * [new tag]                 trunk/87c9fbda22c229d4e5512011e050efd6ffea1241 -> trunk/87c9fbda22c229d4e5512011e050efd6ffea1241
2025-10-10T00:35:14.6904498Z  * [new tag]                 trunk/87eccf10e8484c9e59ef81ae7bdee68d3db4f605 -> trunk/87eccf10e8484c9e59ef81ae7bdee68d3db4f605
2025-10-10T00:35:14.6908954Z  * [new tag]                 trunk/8c0bc879b97bc580aaa0777b2d266bdd068cb528 -> trunk/8c0bc879b97bc580aaa0777b2d266bdd068cb528
2025-10-10T00:35:14.6909197Z  * [new tag]                 trunk/8c54101933bb7c6ed3f9c1a65629b7f30376f7e2 -> trunk/8c54101933bb7c6ed3f9c1a65629b7f30376f7e2
2025-10-10T00:35:14.6909450Z  * [new tag]                 trunk/8ca986ee60febce075f9e3ff83726048cebbbf68 -> trunk/8ca986ee60febce075f9e3ff83726048cebbbf68
2025-10-10T00:35:14.6909686Z  * [new tag]                 trunk/8d53d788fefc0370931063d91f0c342556c3cf4c -> trunk/8d53d788fefc0370931063d91f0c342556c3cf4c
2025-10-10T00:35:14.6909933Z  * [new tag]                 trunk/8e1f409b8ccf64b2cf3933ece13587ad57e9d8a9 -> trunk/8e1f409b8ccf64b2cf3933ece13587ad57e9d8a9
2025-10-10T00:35:14.6910176Z  * [new tag]                 trunk/8ec8c14aced9f3e7ff4ab663822bed792d6c34f4 -> trunk/8ec8c14aced9f3e7ff4ab663822bed792d6c34f4
2025-10-10T00:35:14.6910415Z  * [new tag]                 trunk/8f54e27e5decf41222f5d744069eb6572dbf275f -> trunk/8f54e27e5decf41222f5d744069eb6572dbf275f
2025-10-10T00:35:14.6915422Z  * [new tag]                 trunk/8f705d019a64b1ca882e043b3eb98559273a9e59 -> trunk/8f705d019a64b1ca882e043b3eb98559273a9e59
2025-10-10T00:35:14.6915763Z  * [new tag]                 trunk/8f83b3e71cb2af6244971af59bfbb6e2abb55f24 -> trunk/8f83b3e71cb2af6244971af59bfbb6e2abb55f24
2025-10-10T00:35:14.6921690Z  * [new tag]                 trunk/90b4e130d6871bee4e1f15bb8294c1bbbf8f4ba5 -> trunk/90b4e130d6871bee4e1f15bb8294c1bbbf8f4ba5
2025-10-10T00:35:14.6926661Z  * [new tag]                 trunk/90c0825e2deb0a46faf5cc2deb7184f6f8ea7a6d -> trunk/90c0825e2deb0a46faf5cc2deb7184f6f8ea7a6d
2025-10-10T00:35:14.6926947Z  * [new tag]                 trunk/91040f49348646d79c6cd3434c34860d25c2e47a -> trunk/91040f49348646d79c6cd3434c34860d25c2e47a
2025-10-10T00:35:14.6927208Z  * [new tag]                 trunk/91b94842645c1a781ab169b0df718545901ebb01 -> trunk/91b94842645c1a781ab169b0df718545901ebb01
2025-10-10T00:35:14.6927497Z  * [new tag]                 trunk/91c211fb8c8ec3065be2a18dfc399ce849ea83bf -> trunk/91c211fb8c8ec3065be2a18dfc399ce849ea83bf
2025-10-10T00:35:14.6927771Z  * [new tag]                 trunk/91c4db76cbb82dfa46d937b8dce4c942eaf5e226 -> trunk/91c4db76cbb82dfa46d937b8dce4c942eaf5e226
2025-10-10T00:35:14.6928037Z  * [new tag]                 trunk/93e833de0f987f66d8c93b76ffe6aad35b714231 -> trunk/93e833de0f987f66d8c93b76ffe6aad35b714231
2025-10-10T00:35:14.6928325Z  * [new tag]                 trunk/94b1ec8c7c5cc63541325abc923973f2fc2ad094 -> trunk/94b1ec8c7c5cc63541325abc923973f2fc2ad094
2025-10-10T00:35:14.6928583Z  * [new tag]                 trunk/955f21dc2c628e09e0d112b3db1ee928cd1da344 -> trunk/955f21dc2c628e09e0d112b3db1ee928cd1da344
2025-10-10T00:35:14.6928836Z  * [new tag]                 trunk/9580539e2f73d68e89544c713ff460bea3038701 -> trunk/9580539e2f73d68e89544c713ff460bea3038701
2025-10-10T00:35:14.6929234Z  * [new tag]                 trunk/95a053284cd28e8d52bd55049bd45aea47adba0c -> trunk/95a053284cd28e8d52bd55049bd45aea47adba0c
2025-10-10T00:35:14.6929502Z  * [new tag]                 trunk/960c4b9937251da01ea588efff0fc06a34eac35b -> trunk/960c4b9937251da01ea588efff0fc06a34eac35b
2025-10-10T00:35:14.6929767Z  * [new tag]                 trunk/96181d6f7619acf938dc743123326c6b5dd25284 -> trunk/96181d6f7619acf938dc743123326c6b5dd25284
2025-10-10T00:35:14.6930027Z  * [new tag]                 trunk/9697a7ce9ea095e933658cfee13f9bbef272551a -> trunk/9697a7ce9ea095e933658cfee13f9bbef272551a
2025-10-10T00:35:14.6930288Z  * [new tag]                 trunk/96d91da792d4b50930318ecdfb8b5b8190c467cd -> trunk/96d91da792d4b50930318ecdfb8b5b8190c467cd
2025-10-10T00:35:14.6930540Z  * [new tag]                 trunk/97463d4cf3c125557ef23502772b12a67dac4dc7 -> trunk/97463d4cf3c125557ef23502772b12a67dac4dc7
2025-10-10T00:35:14.6930797Z  * [new tag]                 trunk/97ca21106d0179f425fc752ec867fe11669c2834 -> trunk/97ca21106d0179f425fc752ec867fe11669c2834
2025-10-10T00:35:14.6931059Z  * [new tag]                 trunk/98a081a24c22072362dc536afd39a469e28939d4 -> trunk/98a081a24c22072362dc536afd39a469e28939d4
2025-10-10T00:35:14.6931320Z  * [new tag]                 trunk/9944cac6e6a95159744a775a8bef40d89eef0f03 -> trunk/9944cac6e6a95159744a775a8bef40d89eef0f03
2025-10-10T00:35:14.6931580Z  * [new tag]                 trunk/9aa92f246fa5fe5cfda17970d41d167b19a0612a -> trunk/9aa92f246fa5fe5cfda17970d41d167b19a0612a
2025-10-10T00:35:14.6931848Z  * [new tag]                 trunk/9d1ab4f4bb508a72c7f549f0b5219c4601944ba1 -> trunk/9d1ab4f4bb508a72c7f549f0b5219c4601944ba1
2025-10-10T00:35:14.6932109Z  * [new tag]                 trunk/9eb89a4ad5965b97c54e498d71fc765c0059acef -> trunk/9eb89a4ad5965b97c54e498d71fc765c0059acef
2025-10-10T00:35:14.6932373Z  * [new tag]                 trunk/9ec10dc26a81dc618ff435edd4ca4819245ecb0f -> trunk/9ec10dc26a81dc618ff435edd4ca4819245ecb0f
2025-10-10T00:35:14.6932634Z  * [new tag]                 trunk/9ecd092bd98f43d1cd4acc88eed6cbc39e946dbe -> trunk/9ecd092bd98f43d1cd4acc88eed6cbc39e946dbe
2025-10-10T00:35:14.6933395Z  * [new tag]                 trunk/9f5e1beaf3c9248a335d2448103240a463187eb5 -> trunk/9f5e1beaf3c9248a335d2448103240a463187eb5
2025-10-10T00:35:14.6933671Z  * [new tag]                 trunk/9fc2c6446d394dd313ed71e9d1ffc4f7f3916423 -> trunk/9fc2c6446d394dd313ed71e9d1ffc4f7f3916423
2025-10-10T00:35:14.6933918Z  * [new tag]                 trunk/9fff8155c362da777e7ce31b85fb2dc7cfced2d5 -> trunk/9fff8155c362da777e7ce31b85fb2dc7cfced2d5
2025-10-10T00:35:14.6934239Z  * [new tag]                 trunk/a029675f6f0b9cf48eb7943d4be8169c67960a8e -> trunk/a029675f6f0b9cf48eb7943d4be8169c67960a8e
2025-10-10T00:35:14.6934485Z  * [new tag]                 trunk/a11a66ef320938cd0fd72b44b2b572b06937e100 -> trunk/a11a66ef320938cd0fd72b44b2b572b06937e100
2025-10-10T00:35:14.6934726Z  * [new tag]                 trunk/a2f29bcd6388acdc3202d8a90974c50ffb605104 -> trunk/a2f29bcd6388acdc3202d8a90974c50ffb605104
2025-10-10T00:35:14.6934959Z  * [new tag]                 trunk/a34797e031727f6a01a2f13a66db2f7e1fcc05b6 -> trunk/a34797e031727f6a01a2f13a66db2f7e1fcc05b6
2025-10-10T00:35:14.6935203Z  * [new tag]                 trunk/a4110fedcf72eaede76324bb5c21a76589d75849 -> trunk/a4110fedcf72eaede76324bb5c21a76589d75849
2025-10-10T00:35:14.6935437Z  * [new tag]                 trunk/a43c4c3972a611db169dde2aed803b91fe78c081 -> trunk/a43c4c3972a611db169dde2aed803b91fe78c081
2025-10-10T00:35:14.6935683Z  * [new tag]                 trunk/a57a14868dcfd9dabf9bd19b6b11f31967c80c87 -> trunk/a57a14868dcfd9dabf9bd19b6b11f31967c80c87
2025-10-10T00:35:14.6935940Z  * [new tag]                 trunk/a6fa4f9c283971c0fb6f60a89674a1f35370ac79 -> trunk/a6fa4f9c283971c0fb6f60a89674a1f35370ac79
2025-10-10T00:35:14.6936188Z  * [new tag]                 trunk/a753ffa9aff47e005c31d6bcbf5b6a61cc54afed -> trunk/a753ffa9aff47e005c31d6bcbf5b6a61cc54afed
2025-10-10T00:35:14.6936428Z  * [new tag]                 trunk/a7fa1a91e386c7708e4c8747680911b0c3174a66 -> trunk/a7fa1a91e386c7708e4c8747680911b0c3174a66
2025-10-10T00:35:14.6936698Z  * [new tag]                 trunk/a9a9a3438a374f96a308b707a1718036aaec790d -> trunk/a9a9a3438a374f96a308b707a1718036aaec790d
2025-10-10T00:35:14.6936952Z  * [new tag]                 trunk/ab01a0d7d352e7fd07989b8d6bf035bf82aea74e -> trunk/ab01a0d7d352e7fd07989b8d6bf035bf82aea74e
2025-10-10T00:35:14.6937193Z  * [new tag]                 trunk/ab94a0d544503b5c27e889b45e45ef8cf75c8183 -> trunk/ab94a0d544503b5c27e889b45e45ef8cf75c8183
2025-10-10T00:35:14.6937453Z  * [new tag]                 trunk/abadea70f3eb5f2f764fd6448d42dd2c29fa28b3 -> trunk/abadea70f3eb5f2f764fd6448d42dd2c29fa28b3
2025-10-10T00:35:14.6937684Z  * [new tag]                 trunk/ac08556f674259ff5b117964e300124e8a92d45b -> trunk/ac08556f674259ff5b117964e300124e8a92d45b
2025-10-10T00:35:14.6943516Z  * [new tag]                 trunk/ac7b4e7fe4d233dcd7f6343d42b4fa3d64bce548 -> trunk/ac7b4e7fe4d233dcd7f6343d42b4fa3d64bce548
2025-10-10T00:35:14.6946181Z  * [new tag]                 trunk/ac901bf79a2d78539ffec272bf32f4ae47035b23 -> trunk/ac901bf79a2d78539ffec272bf32f4ae47035b23
2025-10-10T00:35:14.6946585Z  * [new tag]                 trunk/ad7b2bebc651c297d869f265deedef726bf17048 -> trunk/ad7b2bebc651c297d869f265deedef726bf17048
2025-10-10T00:35:14.6951094Z  * [new tag]                 trunk/ae25ec569c614c2a2274837079578b71f3201a3b -> trunk/ae25ec569c614c2a2274837079578b71f3201a3b
2025-10-10T00:35:14.6956210Z  * [new tag]                 trunk/aea57b3aa38a3d4a058e0a7eba08d0c6c28ed9c5 -> trunk/aea57b3aa38a3d4a058e0a7eba08d0c6c28ed9c5
2025-10-10T00:35:14.6961323Z  * [new tag]                 trunk/aed5ed1076d3e73e0b6357dafac1002aa6a221e9 -> trunk/aed5ed1076d3e73e0b6357dafac1002aa6a221e9
2025-10-10T00:35:14.6966473Z  * [new tag]                 trunk/aed66248a01d309eb2ac1149b5f51310545b0783 -> trunk/aed66248a01d309eb2ac1149b5f51310545b0783
2025-10-10T00:35:14.6966782Z  * [new tag]                 trunk/af32d16a71681ca05c6d410fb1b9cee091d4577d -> trunk/af32d16a71681ca05c6d410fb1b9cee091d4577d
2025-10-10T00:35:14.6967067Z  * [new tag]                 trunk/af40828bbb785f968eda18dbdc8750ba67f57366 -> trunk/af40828bbb785f968eda18dbdc8750ba67f57366
2025-10-10T00:35:14.6967340Z  * [new tag]                 trunk/af4c29fea8f50ac3bb9e4a0e305da4a2c6b53d29 -> trunk/af4c29fea8f50ac3bb9e4a0e305da4a2c6b53d29
2025-10-10T00:35:14.6967604Z  * [new tag]                 trunk/afee8062d511ad63e0af65ffac0e712d86aae8f1 -> trunk/afee8062d511ad63e0af65ffac0e712d86aae8f1
2025-10-10T00:35:14.6968015Z  * [new tag]                 trunk/afeec56a5aa83dd0258565400551a99777c0023b -> trunk/afeec56a5aa83dd0258565400551a99777c0023b
2025-10-10T00:35:14.6968268Z  * [new tag]                 trunk/b0985144b59db8fb20964829b5e0a9d2f9a3f0d6 -> trunk/b0985144b59db8fb20964829b5e0a9d2f9a3f0d6
2025-10-10T00:35:14.6968532Z  * [new tag]                 trunk/b116c5133024be39a2db67cd0112b490b970b710 -> trunk/b116c5133024be39a2db67cd0112b490b970b710
2025-10-10T00:35:14.6968784Z  * [new tag]                 trunk/b13cd141b3585c2ae89ad7747acd11203a2fb837 -> trunk/b13cd141b3585c2ae89ad7747acd11203a2fb837
2025-10-10T00:35:14.6969054Z  * [new tag]                 trunk/b1ac252f55f4a4d0e5488fb2ac9154154decec87 -> trunk/b1ac252f55f4a4d0e5488fb2ac9154154decec87
2025-10-10T00:35:14.6969315Z  * [new tag]                 trunk/b28b24a9fc7d391c5793a94489a3f2d5381f6ad7 -> trunk/b28b24a9fc7d391c5793a94489a3f2d5381f6ad7
2025-10-10T00:35:14.6969567Z  * [new tag]                 trunk/b2b3947565fd0c27ebd4941152c964eab30370e2 -> trunk/b2b3947565fd0c27ebd4941152c964eab30370e2
2025-10-10T00:35:14.6969820Z  * [new tag]                 trunk/b558c986e8ec693b531ad2817026393c55d72eb6 -> trunk/b558c986e8ec693b531ad2817026393c55d72eb6
2025-10-10T00:35:14.6970066Z  * [new tag]                 trunk/b5e93ffdcf779c703af5c8119636b01f250eafcd -> trunk/b5e93ffdcf779c703af5c8119636b01f250eafcd
2025-10-10T00:35:14.6970317Z  * [new tag]                 trunk/b63bbe16615cc7680836dbb151bd848bce4893d6 -> trunk/b63bbe16615cc7680836dbb151bd848bce4893d6
2025-10-10T00:35:14.6970639Z  * [new tag]                 trunk/b6b7a44dec63495d57946cbfe8f2accb8f876db2 -> trunk/b6b7a44dec63495d57946cbfe8f2accb8f876db2
2025-10-10T00:35:14.6970882Z  * [new tag]                 trunk/b9e73e639e36f3aa628752161711e68878231b30 -> trunk/b9e73e639e36f3aa628752161711e68878231b30
2025-10-10T00:35:14.6971127Z  * [new tag]                 trunk/ba480d6bf78ea446d1268d9b5b3a0dbb490c9c88 -> trunk/ba480d6bf78ea446d1268d9b5b3a0dbb490c9c88
2025-10-10T00:35:14.6971374Z  * [new tag]                 trunk/bac0f289a35f05052740076fc5671271a3d487c2 -> trunk/bac0f289a35f05052740076fc5671271a3d487c2
2025-10-10T00:35:14.6971628Z  * [new tag]                 trunk/bc1690c7e859dee8c47a7f0bbd3c43cc27c6fd2a -> trunk/bc1690c7e859dee8c47a7f0bbd3c43cc27c6fd2a
2025-10-10T00:35:14.6971871Z  * [new tag]                 trunk/bc33b10202fb7c3761bcabc166e02d96807d8739 -> trunk/bc33b10202fb7c3761bcabc166e02d96807d8739
2025-10-10T00:35:14.6972136Z  * [new tag]                 trunk/bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228 -> trunk/bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228
2025-10-10T00:35:14.6972388Z  * [new tag]                 trunk/bcd96cc6ff798281e66aabef6ce72542fdc97c7a -> trunk/bcd96cc6ff798281e66aabef6ce72542fdc97c7a
2025-10-10T00:35:14.6972641Z  * [new tag]                 trunk/bd3b98a8a5d68ddc84b20a4609b9ea90998bf95b -> trunk/bd3b98a8a5d68ddc84b20a4609b9ea90998bf95b
2025-10-10T00:35:14.6972886Z  * [new tag]                 trunk/bdc0a421d7bcc49db12f7593d2c213a6141da614 -> trunk/bdc0a421d7bcc49db12f7593d2c213a6141da614
2025-10-10T00:35:14.6973408Z  * [new tag]                 trunk/bde18c445dcb1d83e8ea0afae52f9b9bf8171f45 -> trunk/bde18c445dcb1d83e8ea0afae52f9b9bf8171f45
2025-10-10T00:35:14.6973660Z  * [new tag]                 trunk/bf717ce346203fc27e792f4bdcc31e979cd74fa9 -> trunk/bf717ce346203fc27e792f4bdcc31e979cd74fa9
2025-10-10T00:35:14.6973895Z  * [new tag]                 trunk/c0510dc447a1f105cb8758d2721380f7a7c380d1 -> trunk/c0510dc447a1f105cb8758d2721380f7a7c380d1
2025-10-10T00:35:14.6974157Z  * [new tag]                 trunk/c1f40d33c89b361a1edad17aa25cfff1ab4014fd -> trunk/c1f40d33c89b361a1edad17aa25cfff1ab4014fd
2025-10-10T00:35:14.6974393Z  * [new tag]                 trunk/c32118dc3e50505fd285e6e448a90883fce11535 -> trunk/c32118dc3e50505fd285e6e448a90883fce11535
2025-10-10T00:35:14.6974640Z  * [new tag]                 trunk/c45d56dd00546daa7d9044674233dba1ac7b6194 -> trunk/c45d56dd00546daa7d9044674233dba1ac7b6194
2025-10-10T00:35:14.6974890Z  * [new tag]                 trunk/c6329524d8670d5f9295cddcf7ebc3040ed9179e -> trunk/c6329524d8670d5f9295cddcf7ebc3040ed9179e
2025-10-10T00:35:14.6975208Z  * [new tag]                 trunk/c6a6c80a730ff4edaec0d2fc4a5ff9344edaed41 -> trunk/c6a6c80a730ff4edaec0d2fc4a5ff9344edaed41
2025-10-10T00:35:14.6975472Z  * [new tag]                 trunk/c7e30ae4dd9a58ed4f4bcbdc6afc2249cac94f28 -> trunk/c7e30ae4dd9a58ed4f4bcbdc6afc2249cac94f28
2025-10-10T00:35:14.6975721Z  * [new tag]                 trunk/c813617c53e6be91e77f47e9a3f713146d54f340 -> trunk/c813617c53e6be91e77f47e9a3f713146d54f340
2025-10-10T00:35:14.6975981Z  * [new tag]                 trunk/c855f8632e331b51d60d5f1bcc59d3181cb4bc82 -> trunk/c855f8632e331b51d60d5f1bcc59d3181cb4bc82
2025-10-10T00:35:14.6976225Z  * [new tag]                 trunk/c965d6dbb23a8b2338ffebf3f01c6f92ce5847d2 -> trunk/c965d6dbb23a8b2338ffebf3f01c6f92ce5847d2
2025-10-10T00:35:14.6976470Z  * [new tag]                 trunk/cac5e13e1384900c5acc4938c33d6037a61850d5 -> trunk/cac5e13e1384900c5acc4938c33d6037a61850d5
2025-10-10T00:35:14.6976708Z  * [new tag]                 trunk/cc71ab86a6985e85645424b727c766e031047ff6 -> trunk/cc71ab86a6985e85645424b727c766e031047ff6
2025-10-10T00:35:14.6976960Z  * [new tag]                 trunk/cd62a73dcb13102069aa827a6657f62d88cce095 -> trunk/cd62a73dcb13102069aa827a6657f62d88cce095
2025-10-10T00:35:14.6977205Z  * [new tag]                 trunk/cf0a00d4f38775e5a82a166e367f40383c606963 -> trunk/cf0a00d4f38775e5a82a166e367f40383c606963
2025-10-10T00:35:14.6977472Z  * [new tag]                 trunk/cfc5cc17dc4fa6be41b4b31eb6e63d3863479452 -> trunk/cfc5cc17dc4fa6be41b4b31eb6e63d3863479452
2025-10-10T00:35:14.6977766Z  * [new tag]                 trunk/cfd46d13e6e1308add3a9f287b4855ccc3f2e66c -> trunk/cfd46d13e6e1308add3a9f287b4855ccc3f2e66c
2025-10-10T00:35:14.6978006Z  * [new tag]                 trunk/d1a62c80363cf769552453eed187e935f905737d -> trunk/d1a62c80363cf769552453eed187e935f905737d
2025-10-10T00:35:14.6978253Z  * [new tag]                 trunk/d1cbb74fb16406488a174832e1b58b7c242f418d -> trunk/d1cbb74fb16406488a174832e1b58b7c242f418d
2025-10-10T00:35:14.6978492Z  * [new tag]                 trunk/d386325ca9a142419f45b987391f4bb175dd7d0b -> trunk/d386325ca9a142419f45b987391f4bb175dd7d0b
2025-10-10T00:35:14.6978753Z  * [new tag]                 trunk/d40a9bfb8da0dc1ac1e6e56b33a25979112874de -> trunk/d40a9bfb8da0dc1ac1e6e56b33a25979112874de
2025-10-10T00:35:14.6978998Z  * [new tag]                 trunk/d4443840036a00a30afcf066cb23f4525e590809 -> trunk/d4443840036a00a30afcf066cb23f4525e590809
2025-10-10T00:35:14.6979264Z  * [new tag]                 trunk/d4752bc7f6818a3df5356a9de61afe1d3e27ade9 -> trunk/d4752bc7f6818a3df5356a9de61afe1d3e27ade9
2025-10-10T00:35:14.6979520Z  * [new tag]                 trunk/da49a57d3462332b26cb7ee58910b5bc67e5772c -> trunk/da49a57d3462332b26cb7ee58910b5bc67e5772c
2025-10-10T00:35:14.6979764Z  * [new tag]                 trunk/da903b6a8be422529d47649e89c0d50bb95c37ca -> trunk/da903b6a8be422529d47649e89c0d50bb95c37ca
2025-10-10T00:35:14.6980008Z  * [new tag]                 trunk/dca73982c53e9f99f96246b5d9ed9bab83c7423f -> trunk/dca73982c53e9f99f96246b5d9ed9bab83c7423f
2025-10-10T00:35:14.6980250Z  * [new tag]                 trunk/ddf8de28c25944a58e739ba9996b06753e4199cc -> trunk/ddf8de28c25944a58e739ba9996b06753e4199cc
2025-10-10T00:35:14.6980499Z  * [new tag]                 trunk/df640df68a5275684eaae3080a9c97a0c61469c8 -> trunk/df640df68a5275684eaae3080a9c97a0c61469c8
2025-10-10T00:35:14.6980735Z  * [new tag]                 trunk/e09fb44ef177005c4a11c28be24781429d416a3e -> trunk/e09fb44ef177005c4a11c28be24781429d416a3e
2025-10-10T00:35:14.6980991Z  * [new tag]                 trunk/e0cb1848d0fd9fb4467ad8b844c565aea5071838 -> trunk/e0cb1848d0fd9fb4467ad8b844c565aea5071838
2025-10-10T00:35:14.6981229Z  * [new tag]                 trunk/e3ae80fc036da356e3748d134689741583552f09 -> trunk/e3ae80fc036da356e3748d134689741583552f09
2025-10-10T00:35:14.6981478Z  * [new tag]                 trunk/e40fe634b1a7aa33e278b1404ee02dea12277080 -> trunk/e40fe634b1a7aa33e278b1404ee02dea12277080
2025-10-10T00:35:14.6981755Z  * [new tag]                 trunk/e438db254602cf39ba536aed0590b4144c019ee8 -> trunk/e438db254602cf39ba536aed0590b4144c019ee8
2025-10-10T00:35:14.6982006Z  * [new tag]                 trunk/e532f62e0d96e56cb28fa6a0ba6d981896a65d52 -> trunk/e532f62e0d96e56cb28fa6a0ba6d981896a65d52
2025-10-10T00:35:14.6982243Z  * [new tag]                 trunk/e6d4b26776842307475b368db60e27ac1bcede86 -> trunk/e6d4b26776842307475b368db60e27ac1bcede86
2025-10-10T00:35:14.6982494Z  * [new tag]                 trunk/e7ed1a00eb5510d1c7dccd17b5c0ebb54231284f -> trunk/e7ed1a00eb5510d1c7dccd17b5c0ebb54231284f
2025-10-10T00:35:14.6982739Z  * [new tag]                 trunk/e7fd2969303ab931f5e5875eca676018e1acd089 -> trunk/e7fd2969303ab931f5e5875eca676018e1acd089
2025-10-10T00:35:14.6982986Z  * [new tag]                 trunk/e89d12bf5d6b69c153cd000ef278fca59f03226d -> trunk/e89d12bf5d6b69c153cd000ef278fca59f03226d
2025-10-10T00:35:14.6983398Z  * [new tag]                 trunk/e98c4e835b1db22092fc93b49d2cddd7b3537d1f -> trunk/e98c4e835b1db22092fc93b49d2cddd7b3537d1f
2025-10-10T00:35:14.6989076Z  * [new tag]                 trunk/ea42517e454d2e47391646bbb897f5fc51147b9d -> trunk/ea42517e454d2e47391646bbb897f5fc51147b9d
2025-10-10T00:35:14.6991508Z  * [new tag]                 trunk/eaa02655eabd24609744c2251ac40d39d86ebb39 -> trunk/eaa02655eabd24609744c2251ac40d39d86ebb39
2025-10-10T00:35:14.6996600Z  * [new tag]                 trunk/eccf561326147894d57482a5aba7a2290005b257 -> trunk/eccf561326147894d57482a5aba7a2290005b257
2025-10-10T00:35:14.7000708Z  * [new tag]                 trunk/ece5e0f01b68509342f85fa388ca61936dc18b20 -> trunk/ece5e0f01b68509342f85fa388ca61936dc18b20
2025-10-10T00:35:14.7002479Z  * [new tag]                 trunk/ed2d514ad860229f6d364688f9db27dad034cd83 -> trunk/ed2d514ad860229f6d364688f9db27dad034cd83
2025-10-10T00:35:14.7002931Z  * [new tag]                 trunk/ed6156e3ea334b9b8d395e5a9f76fa3ba7408c06 -> trunk/ed6156e3ea334b9b8d395e5a9f76fa3ba7408c06
2025-10-10T00:35:14.7003290Z  * [new tag]                 trunk/ee5389d520844db36374e86c986b9ff8f47ac4bb -> trunk/ee5389d520844db36374e86c986b9ff8f47ac4bb
2025-10-10T00:35:14.7003627Z  * [new tag]                 trunk/ee6a1ecb0a1035f068484c8fcfba44b2efc9e837 -> trunk/ee6a1ecb0a1035f068484c8fcfba44b2efc9e837
2025-10-10T00:35:14.7008696Z  * [new tag]                 trunk/ef50c6e3e3d83bfd67e50930eea9a3a9db084061 -> trunk/ef50c6e3e3d83bfd67e50930eea9a3a9db084061
2025-10-10T00:35:14.7008991Z  * [new tag]                 trunk/ef7e2ca77e3f554ced81eb614f15fb84249d4a7e -> trunk/ef7e2ca77e3f554ced81eb614f15fb84249d4a7e
2025-10-10T00:35:14.7009291Z  * [new tag]                 trunk/f006aee601cb72077f4b1dbc3f7f0f685e57a1a9 -> trunk/f006aee601cb72077f4b1dbc3f7f0f685e57a1a9
2025-10-10T00:35:14.7009541Z  * [new tag]                 trunk/f05e23e1bc1439e19145e43e8ffca0051cda2f33 -> trunk/f05e23e1bc1439e19145e43e8ffca0051cda2f33
2025-10-10T00:35:14.7009794Z  * [new tag]                 trunk/f0c9f3bddbf7ad77d5d3a8803c23bb47bfb71d79 -> trunk/f0c9f3bddbf7ad77d5d3a8803c23bb47bfb71d79
2025-10-10T00:35:14.7010059Z  * [new tag]                 trunk/f11ac803d73b90d7e1f7bde962b9afe6b5967eb7 -> trunk/f11ac803d73b90d7e1f7bde962b9afe6b5967eb7
2025-10-10T00:35:14.7010308Z  * [new tag]                 trunk/f1229b6db946c290cc5bdea05dde69fc01e0bed0 -> trunk/f1229b6db946c290cc5bdea05dde69fc01e0bed0
2025-10-10T00:35:14.7010576Z  * [new tag]                 trunk/f231be25c679adb47ac3e483dc68948e5ad137a4 -> trunk/f231be25c679adb47ac3e483dc68948e5ad137a4
2025-10-10T00:35:14.7010810Z  * [new tag]                 trunk/f33201729416ed17467228e80b04d01d4d02b5f3 -> trunk/f33201729416ed17467228e80b04d01d4d02b5f3
2025-10-10T00:35:14.7011065Z  * [new tag]                 trunk/f37a6523efe1b9bf7f6b5b5d0f36dc461a3fda2a -> trunk/f37a6523efe1b9bf7f6b5b5d0f36dc461a3fda2a
2025-10-10T00:35:14.7011303Z  * [new tag]                 trunk/f39789cdabb6465f21666bd001829e1f7284d754 -> trunk/f39789cdabb6465f21666bd001829e1f7284d754
2025-10-10T00:35:14.7011769Z  * [new tag]                 trunk/f3afbcf3407783e54ec2795b06ae744f645320ba -> trunk/f3afbcf3407783e54ec2795b06ae744f645320ba
2025-10-10T00:35:14.7012014Z  * [new tag]                 trunk/f3e43ff2d73f375487b1b71483bbecb6cdad8920 -> trunk/f3e43ff2d73f375487b1b71483bbecb6cdad8920
2025-10-10T00:35:14.7012274Z  * [new tag]                 trunk/f414aa8e0d17e8eff38a93cebd52436e53f50eba -> trunk/f414aa8e0d17e8eff38a93cebd52436e53f50eba
2025-10-10T00:35:14.7012517Z  * [new tag]                 trunk/f465ea6752c91498de63eb57439a74f4836e568a -> trunk/f465ea6752c91498de63eb57439a74f4836e568a
2025-10-10T00:35:14.7012771Z  * [new tag]                 trunk/f46bb04dcc37a9b394e414569aef8aef69f9bf53 -> trunk/f46bb04dcc37a9b394e414569aef8aef69f9bf53
2025-10-10T00:35:14.7013265Z  * [new tag]                 trunk/f46ddb1e65b595c80f285dc42aa8549970736aae -> trunk/f46ddb1e65b595c80f285dc42aa8549970736aae
2025-10-10T00:35:14.7013520Z  * [new tag]                 trunk/f4cf75688f0fd93466589addfb7d0ec33e46e3bf -> trunk/f4cf75688f0fd93466589addfb7d0ec33e46e3bf
2025-10-10T00:35:14.7013780Z  * [new tag]                 trunk/f505caa71bd2e4d1e708e20a3665b834134e08fc -> trunk/f505caa71bd2e4d1e708e20a3665b834134e08fc
2025-10-10T00:35:14.7014024Z  * [new tag]                 trunk/f5fd18f7e24378bd9eb91404f697f1c81a8187d5 -> trunk/f5fd18f7e24378bd9eb91404f697f1c81a8187d5
2025-10-10T00:35:14.7014273Z  * [new tag]                 trunk/f6de195616432f42a545b98ea41cc816019d1c60 -> trunk/f6de195616432f42a545b98ea41cc816019d1c60
2025-10-10T00:35:14.7014555Z  * [new tag]                 trunk/f6f76767563d4293a0f78551edf4675a5794c570 -> trunk/f6f76767563d4293a0f78551edf4675a5794c570
2025-10-10T00:35:14.7014798Z  * [new tag]                 trunk/f7082e92b3635e89906fae514506152a2ec844a0 -> trunk/f7082e92b3635e89906fae514506152a2ec844a0
2025-10-10T00:35:14.7015048Z  * [new tag]                 trunk/f713abab16cb98c15f486e9822dd261279cce252 -> trunk/f713abab16cb98c15f486e9822dd261279cce252
2025-10-10T00:35:14.7015291Z  * [new tag]                 trunk/f76fdcaaf8b6d5f97c7f63705400ebed8984f869 -> trunk/f76fdcaaf8b6d5f97c7f63705400ebed8984f869
2025-10-10T00:35:14.7015534Z  * [new tag]                 trunk/f79e212733ca89ce3cc99a3072e50351686e5568 -> trunk/f79e212733ca89ce3cc99a3072e50351686e5568
2025-10-10T00:35:14.7015776Z  * [new tag]                 trunk/f7ad6dbad67161333a1473d1e0b478b7475a0ec1 -> trunk/f7ad6dbad67161333a1473d1e0b478b7475a0ec1
2025-10-10T00:35:14.7016019Z  * [new tag]                 trunk/fa5306b4f5bea89d80b9f14926712119aab78161 -> trunk/fa5306b4f5bea89d80b9f14926712119aab78161
2025-10-10T00:35:14.7016271Z  * [new tag]                 trunk/fac6f20ae3a68fa49e19571a1fc4bcdddbf87d80 -> trunk/fac6f20ae3a68fa49e19571a1fc4bcdddbf87d80
2025-10-10T00:35:14.7016527Z  * [new tag]                 trunk/fac85fcfb5ad0e63438d808a2f9ba7ea2dff9ad4 -> trunk/fac85fcfb5ad0e63438d808a2f9ba7ea2dff9ad4
2025-10-10T00:35:14.7016770Z  * [new tag]                 trunk/fd3e15c14f4fc474af610b482382a2c85729f50d -> trunk/fd3e15c14f4fc474af610b482382a2c85729f50d
2025-10-10T00:35:14.7017023Z  * [new tag]                 trunk/fd4bde430a51e5f216295c950d962c6343119821 -> trunk/fd4bde430a51e5f216295c950d962c6343119821
2025-10-10T00:35:14.7017266Z  * [new tag]                 trunk/fdc622b513610b53ddcdc0b40282df9beae369bd -> trunk/fdc622b513610b53ddcdc0b40282df9beae369bd
2025-10-10T00:35:14.7017509Z  * [new tag]                 trunk/fdc8ccc5bc433478c2a114016e193f5665d1e370 -> trunk/fdc8ccc5bc433478c2a114016e193f5665d1e370
2025-10-10T00:35:14.7017761Z  * [new tag]                 trunk/ff5faa744a52561f4c6a138089123fd8d41cab73 -> trunk/ff5faa744a52561f4c6a138089123fd8d41cab73
2025-10-10T00:35:14.7017879Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-10-10T00:35:14.7017998Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-10-10T00:35:14.7018102Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-10-10T00:35:14.7018195Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-10-10T00:35:14.7018343Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-10-10T00:35:14.7018441Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-10-10T00:35:14.7018544Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-10-10T00:35:14.7018638Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-10-10T00:35:14.7018735Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-10-10T00:35:14.7018830Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-10-10T00:35:14.7018925Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-10-10T00:35:14.7019037Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-10-10T00:35:14.7019130Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-10-10T00:35:14.7019230Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-10-10T00:35:14.7019323Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-10-10T00:35:14.7019420Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-10-10T00:35:14.7019519Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-10-10T00:35:14.7019612Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-10-10T00:35:14.7019729Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-10-10T00:35:14.7019822Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-10-10T00:35:14.7019926Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-10-10T00:35:14.7020058Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-10-10T00:35:14.7020155Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-10-10T00:35:14.7020266Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-10-10T00:35:14.7020360Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-10-10T00:35:14.7020689Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-10-10T00:35:14.7020828Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-10-10T00:35:14.7020936Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-10-10T00:35:14.7021551Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-10-10T00:35:14.7021911Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-10-10T00:35:14.7022623Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-10-10T00:35:14.7022746Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-10-10T00:35:14.7026088Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-10-10T00:35:14.7026319Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-10-10T00:35:14.7026477Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-10-10T00:35:14.7026677Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-10-10T00:35:14.7026824Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-10-10T00:35:14.7028781Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-10-10T00:35:14.7029077Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-10-10T00:35:14.7029211Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-10-10T00:35:14.7029324Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-10-10T00:35:14.7029579Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-10-10T00:35:14.7031850Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-10-10T00:35:14.7032149Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-10-10T00:35:14.7032276Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-10-10T00:35:14.7032440Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-10-10T00:35:14.7032907Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-10-10T00:35:14.7033262Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-10-10T00:35:14.7033658Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-10-10T00:35:14.7034472Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-10-10T00:35:14.7035110Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-10-10T00:35:14.7035514Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-10-10T00:35:14.7038090Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-10-10T00:35:14.7038397Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-10-10T00:35:14.7038533Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-10-10T00:35:14.7038644Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-10-10T00:35:14.7038882Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-10-10T00:35:14.7039006Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-10-10T00:35:14.7040528Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-10-10T00:35:14.7040918Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-10-10T00:35:14.7041027Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-10-10T00:35:14.7041199Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-10-10T00:35:14.7043458Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-10-10T00:35:14.7043786Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-10-10T00:35:14.7043945Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-10-10T00:35:14.7044084Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-10-10T00:35:14.7044190Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-10-10T00:35:14.7044590Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-10-10T00:35:14.7045668Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-10-10T00:35:14.7045793Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-10-10T00:35:14.7046408Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-10-10T00:35:14.7046758Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-10-10T00:35:14.7049027Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-10-10T00:35:14.7049217Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-10-10T00:35:14.7049331Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-10-10T00:35:14.7049442Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-10-10T00:35:14.7051539Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-10-10T00:35:14.7051884Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-10-10T00:35:14.7052028Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-10-10T00:35:14.7052147Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-10-10T00:35:14.7052387Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-10-10T00:35:14.7052519Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-10-10T00:35:14.7057362Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-10-10T00:35:14.7058388Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-10-10T00:35:14.7058879Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-10-10T00:35:14.7059017Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-10-10T00:35:14.7059138Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-10-10T00:35:14.7059401Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-10-10T00:35:14.7059519Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-10-10T00:35:14.7059633Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-10-10T00:35:14.7059738Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-10-10T00:35:14.7059858Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-10-10T00:35:14.7059971Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-10-10T00:35:14.7060093Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-10-10T00:35:14.7061175Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-10-10T00:35:14.7061312Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-10-10T00:35:14.7067683Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-10-10T00:35:14.7068032Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-10-10T00:35:14.7068189Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-10-10T00:35:14.7068303Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-10-10T00:35:14.7068411Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-10-10T00:35:14.7068540Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-10-10T00:35:14.7068648Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-10-10T00:35:14.7068947Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-10-10T00:35:14.7069055Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-10-10T00:35:14.7069169Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-10-10T00:35:14.7069272Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-10-10T00:35:14.7069376Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-10-10T00:35:14.7069501Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-10-10T00:35:14.7069602Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-10-10T00:35:14.7070022Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-10-10T00:35:14.7070820Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-10-10T00:35:14.7071287Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-10-10T00:35:14.7071739Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-10-10T00:35:14.7073094Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-10-10T00:35:14.7073427Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-10-10T00:35:14.7073845Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-10-10T00:35:14.7076661Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-10-10T00:35:14.7076832Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-10-10T00:35:14.7076953Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-10-10T00:35:14.7077056Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-10-10T00:35:14.7077174Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-10-10T00:35:14.7077735Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-10-10T00:35:14.7078095Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-10-10T00:35:14.7079660Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-10-10T00:35:14.7079792Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-10-10T00:35:14.7079893Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-10-10T00:35:14.7080354Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-10-10T00:35:14.7080783Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-10-10T00:35:14.7082230Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-10-10T00:35:14.7082352Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-10-10T00:35:14.7085071Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-10-10T00:35:14.7085214Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-10-10T00:35:14.7085324Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-10-10T00:35:14.7087450Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-10-10T00:35:14.7088004Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-10-10T00:35:14.7088151Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-10-10T00:35:14.7088271Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-10-10T00:35:14.7088392Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-10-10T00:35:14.7088531Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-10-10T00:35:14.7088677Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-10-10T00:35:14.7089593Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-10-10T00:35:14.7090274Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-10-10T00:35:14.7090584Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-10-10T00:35:14.7091544Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-10-10T00:35:14.7091979Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-10-10T00:35:14.7092479Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-10-10T00:35:14.7093620Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-10-10T00:35:14.7094120Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-10-10T00:35:14.7094296Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-10-10T00:35:14.7094926Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-10-10T00:35:14.7096192Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-10-10T00:35:14.7096309Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-10-10T00:35:14.7096913Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-10-10T00:35:14.7097031Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-10-10T00:35:14.7097993Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-10-10T00:35:14.7098664Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-10-10T00:35:14.7099106Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-10-10T00:35:14.7099487Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-10-10T00:35:14.7099838Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-10-10T00:35:14.7100611Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-10-10T00:35:14.7101185Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-10-10T00:35:14.7102034Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-10-10T00:35:14.7102547Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-10-10T00:35:14.7102887Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-10-10T00:35:14.7120805Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-10-10T00:35:14.7121197Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-10-10T00:35:14.7121503Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-10-10T00:35:14.7121784Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-10-10T00:35:14.7122069Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-10-10T00:35:14.7122611Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-10-10T00:35:14.7122884Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-10-10T00:35:14.7123146Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-10-10T00:35:14.7123416Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-10-10T00:35:14.7123684Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-10-10T00:35:14.7123952Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-10-10T00:35:14.7124225Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-10-10T00:35:14.7124492Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-10-10T00:35:14.7124770Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-10-10T00:35:14.7125035Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-10-10T00:35:14.7125308Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-10-10T00:35:14.7125574Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-10-10T00:35:14.7125832Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-10-10T00:35:14.7126100Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-10-10T00:35:14.7126364Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-10-10T00:35:14.7126627Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-10-10T00:35:14.7126933Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-10-10T00:35:14.7127198Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-10-10T00:35:14.7127464Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-10-10T00:35:14.7127724Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-10-10T00:35:14.7127993Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-10-10T00:35:14.7128251Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-10-10T00:35:14.7128514Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-10-10T00:35:14.7128778Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-10-10T00:35:14.7129052Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-10-10T00:35:14.7129314Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-10-10T00:35:14.7129570Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-10-10T00:35:14.7129837Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-10-10T00:35:14.7130103Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-10-10T00:35:14.7130369Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-10-10T00:35:14.7130624Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-10-10T00:35:14.7130894Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-10-10T00:35:14.7131158Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-10-10T00:35:14.7131426Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-10-10T00:35:14.7131688Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-10-10T00:35:14.7131945Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-10-10T00:35:14.7132210Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-10-10T00:35:14.7132480Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-10-10T00:35:14.7132743Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-10-10T00:35:14.7132996Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-10-10T00:35:14.7133525Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-10-10T00:35:14.7134058Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-10-10T00:35:14.7134448Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-10-10T00:35:14.7134857Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-10-10T00:35:14.7135267Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-10-10T00:35:14.7135658Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-10-10T00:35:14.7136022Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-10-10T00:35:14.7136357Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-10-10T00:35:14.7141713Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-10-10T00:35:14.7142203Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-10-10T00:35:14.7142637Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-10-10T00:35:14.7143414Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-10-10T00:35:14.7143758Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-10-10T00:35:14.7144030Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-10-10T00:35:14.7144296Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-10-10T00:35:14.7144553Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-10-10T00:35:14.7144821Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-10-10T00:35:14.7145226Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-10-10T00:35:14.7145497Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-10-10T00:35:14.7151577Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-10-10T00:35:14.7155958Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-10-10T00:35:14.7157218Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-10-10T00:35:14.7158004Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-10-10T00:35:14.7158494Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-10-10T00:35:14.7158926Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-10-10T00:35:14.7159353Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-10-10T00:35:14.7159806Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-10-10T00:35:14.7160251Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-10-10T00:35:14.7160668Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-10-10T00:35:14.7161077Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-10-10T00:35:14.7161494Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-10-10T00:35:14.7161913Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-10-10T00:35:14.7162340Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-10-10T00:35:14.7162762Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-10-10T00:35:14.7163188Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-10-10T00:35:14.7163618Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-10-10T00:35:14.7164034Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-10-10T00:35:14.7164440Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-10-10T00:35:14.7164848Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-10-10T00:35:14.7165271Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-10-10T00:35:14.7165688Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-10-10T00:35:14.7166098Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-10-10T00:35:14.7166708Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-10-10T00:35:14.7167203Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-10-10T00:35:14.7167770Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-10-10T00:35:14.7168334Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-10-10T00:35:14.7168885Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-10-10T00:35:14.7169421Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-10-10T00:35:14.7169929Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-10-10T00:35:14.7170481Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-10-10T00:35:14.7171036Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-10-10T00:35:14.7171593Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-10-10T00:35:14.7172137Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-10-10T00:35:14.7172639Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-10-10T00:35:14.7173467Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-10-10T00:35:14.7174041Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-10-10T00:35:14.7174713Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-10-10T00:35:14.7175282Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-10-10T00:35:14.7175824Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-10-10T00:35:14.7176382Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-10-10T00:35:14.7176955Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-10-10T00:35:14.7177525Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-10-10T00:35:14.7178059Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-10-10T00:35:14.7178592Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-10-10T00:35:14.7179145Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-10-10T00:35:14.7179668Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-10-10T00:35:14.7180192Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-10-10T00:35:14.7180740Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-10-10T00:35:14.7181303Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-10-10T00:35:14.7181823Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-10-10T00:35:14.7182362Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-10-10T00:35:14.7182913Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-10-10T00:35:14.7183446Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-10-10T00:35:14.7183997Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-10-10T00:35:14.7184593Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-10-10T00:35:14.7185142Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-10-10T00:35:14.7185699Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-10-10T00:35:14.7186277Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-10-10T00:35:14.7187019Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-10-10T00:35:14.7187545Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-10-10T00:35:14.7188109Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-10-10T00:35:14.7188665Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-10-10T00:35:14.7189218Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-10-10T00:35:14.7189772Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-10-10T00:35:14.7190527Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-10-10T00:35:14.7191079Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-10-10T00:35:14.7191653Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-10-10T00:35:14.7192216Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-10-10T00:35:14.7192827Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-10-10T00:35:14.7193396Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-10-10T00:35:14.7193954Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-10-10T00:35:14.7194533Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-10-10T00:35:14.7195267Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-10-10T00:35:14.7195826Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-10-10T00:35:14.7196388Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-10-10T00:35:14.7196931Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-10-10T00:35:14.7197522Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-10-10T00:35:14.7198065Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-10-10T00:35:14.7198618Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-10-10T00:35:14.7199196Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-10-10T00:35:14.7199753Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-10-10T00:35:14.7200330Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-10-10T00:35:14.7200889Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-10-10T00:35:14.7201459Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-10-10T00:35:14.7202009Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-10-10T00:35:14.7202558Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-10-10T00:35:14.7203108Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-10-10T00:35:14.7203747Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-10-10T00:35:14.7204477Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-10-10T00:35:14.7205206Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-10-10T00:35:14.7205928Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-10-10T00:35:14.7206659Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-10-10T00:35:14.7207382Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-10-10T00:35:14.7207946Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-10-10T00:35:14.7208622Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-10-10T00:35:14.7209177Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-10-10T00:35:14.7209723Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-10-10T00:35:14.7210280Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-10-10T00:35:14.7210837Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-10-10T00:35:14.7211389Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-10-10T00:35:14.7211959Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-10-10T00:35:14.7212494Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-10-10T00:35:14.7213193Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-10-10T00:35:14.7213770Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-10-10T00:35:14.7214330Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-10-10T00:35:14.7214895Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-10-10T00:35:14.7215427Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-10-10T00:35:14.7215977Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-10-10T00:35:14.7216639Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-10-10T00:35:14.7217191Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-10-10T00:35:14.7217744Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-10-10T00:35:14.7218246Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-10-10T00:35:14.7218778Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-10-10T00:35:14.7219310Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-10-10T00:35:14.7219832Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-10-10T00:35:14.7220352Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-10-10T00:35:14.7220898Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-10-10T00:35:14.7221470Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-10-10T00:35:14.7222007Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-10-10T00:35:14.7222553Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-10-10T00:35:14.7223095Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-10-10T00:35:14.7223594Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-10-10T00:35:14.7224117Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-10-10T00:35:14.7224644Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-10-10T00:35:14.7225184Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-10-10T00:35:14.7225716Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-10-10T00:35:14.7226248Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-10-10T00:35:14.7226761Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-10-10T00:35:14.7227275Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-10-10T00:35:14.7227800Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-10-10T00:35:14.7228416Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-10-10T00:35:14.7228950Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-10-10T00:35:14.7229501Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-10-10T00:35:14.7230033Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-10-10T00:35:14.7230573Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-10-10T00:35:14.7231111Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-10-10T00:35:14.7231669Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
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2025-10-10T00:35:14.7233261Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-10-10T00:35:14.7233749Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-10-10T00:35:14.7234216Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-10-10T00:35:14.7234665Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-10-10T00:35:14.7789147Z [command]/usr/bin/git rev-parse --verify --quiet 344e6365a0068c2d2847fcec0c55dd53291d475e^{object}
2025-10-10T00:35:14.7814855Z 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:35:14.7817377Z ##[endgroup]
2025-10-10T00:35:14.7817702Z ##[group]Determining the checkout info
2025-10-10T00:35:14.7818307Z ##[endgroup]
2025-10-10T00:35:14.7823077Z [command]/usr/bin/git sparse-checkout disable
2025-10-10T00:35:14.7860686Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-10-10T00:35:14.7900046Z ##[group]Checking out the ref
2025-10-10T00:35:14.7903491Z [command]/usr/bin/git checkout --progress --force 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:35:15.8165573Z Updating files:  93% (18692/19929)
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2025-10-10T00:35:15.9364721Z Note: switching to '344e6365a0068c2d2847fcec0c55dd53291d475e'.
2025-10-10T00:35:15.9365067Z 
2025-10-10T00:35:15.9365270Z You are in 'detached HEAD' state. You can look around, make experimental
2025-10-10T00:35:15.9365747Z changes and commit them, and you can discard any commits you make in this
2025-10-10T00:35:15.9366215Z state without impacting any branches by switching back to a branch.
2025-10-10T00:35:15.9366467Z 
2025-10-10T00:35:15.9366634Z If you want to create a new branch to retain commits you create, you may
2025-10-10T00:35:15.9367026Z do so (now or later) by using -c with the switch command. Example:
2025-10-10T00:35:15.9367231Z 
2025-10-10T00:35:15.9367325Z   git switch -c <new-branch-name>
2025-10-10T00:35:15.9367479Z 
2025-10-10T00:35:15.9367564Z Or undo this operation with:
2025-10-10T00:35:15.9367703Z 
2025-10-10T00:35:15.9367773Z   git switch -
2025-10-10T00:35:15.9367877Z 
2025-10-10T00:35:15.9368059Z Turn off this advice by setting config variable advice.detachedHead to false
2025-10-10T00:35:15.9368290Z 
2025-10-10T00:35:15.9368545Z HEAD is now at 344e6365a00 [inductor][eazy] change how torch.use_deterministic_algorithms affect inductor (#164905)
2025-10-10T00:35:15.9423839Z ##[endgroup]
2025-10-10T00:35:15.9424219Z ##[group]Setting up auth for fetching submodules
2025-10-10T00:35:15.9431452Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-10-10T00:35:15.9482353Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-10-10T00:35:15.9522158Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-10-10T00:35:15.9551025Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-10-10T00:35:15.9578312Z ##[endgroup]
2025-10-10T00:35:15.9578636Z ##[group]Fetching submodules
2025-10-10T00:35:15.9583947Z [command]/usr/bin/git submodule sync --recursive
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2025-10-10T00:35:16.0309369Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
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2025-10-10T00:35:16.0311446Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-10-10T00:35:16.0312072Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
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2025-10-10T00:35:16.0317898Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-10-10T00:35:16.0320159Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-10-10T00:35:16.0320778Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-10-10T00:35:16.0321481Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
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2025-10-10T00:35:16.0325809Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-10-10T00:35:16.0328783Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-10-10T00:35:16.0329462Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
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2025-10-10T00:35:16.0344400Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-10-10T00:35:16.0347254Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
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2025-10-10T00:35:16.0351668Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
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2025-10-10T00:35:17.6769247Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
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2025-10-10T00:35:17.6770181Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
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2025-10-10T00:35:30.6383790Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
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2025-10-10T00:35:30.7872679Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
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2025-10-10T00:35:34.8536616Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
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2025-10-10T00:35:36.0035853Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-10-10T00:35:36.0036649Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:35:36.0043164Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
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2025-10-10T00:35:36.0046830Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:35:36.0047545Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
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2025-10-10T00:35:39.8829210Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-10-10T00:35:42.7669502Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-10-10T00:35:43.0505748Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-10-10T00:35:43.1456500Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-10-10T00:35:43.7003328Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917'
2025-10-10T00:35:43.7433547Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:35:43.7551520Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-10-10T00:35:43.8545082Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-10-10T00:35:43.9169825Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-10-10T00:35:43.9192713Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:35:43.9193470Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:35:43.9221525Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-10-10T00:35:47.6826912Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-10-10T00:35:47.8827063Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-10-10T00:35:48.3867434Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-10-10T00:35:48.5025091Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-10-10T00:35:48.5310955Z Submodule path 'third_party/fmt': checked out 'e424e3f2e607da02742f73db84873b8084fc714c'
2025-10-10T00:35:48.5682023Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-10-10T00:35:48.5911872Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-10-10T00:35:48.6343268Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:35:48.6463711Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-10-10T00:35:48.6479494Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-10-10T00:35:48.6505542Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-10-10T00:36:03.2458938Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-10-10T00:36:03.2649188Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-10-10T00:36:03.3534005Z Submodule path 'third_party/kineto': checked out '001ba8eb519438592f79dbc8e86a349f5f6c6829'
2025-10-10T00:36:03.3552116Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:36:03.3552937Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:36:03.3554144Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:36:03.3583943Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-10-10T00:36:04.0620655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-10-10T00:36:04.5709716Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-10-10T00:36:04.6522191Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-10-10T00:36:04.6541788Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:36:04.6546058Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:36:04.6550034Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:36:04.6550899Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:36:04.6555222Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:36:04.6556140Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:36:04.6558510Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:36:04.6559455Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:36:04.6560319Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:36:04.6584164Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-10-10T00:36:06.0976526Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-10-10T00:36:06.0980214Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-10-10T00:36:06.0981356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-10-10T00:36:06.0982075Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-10-10T00:36:06.0982775Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-10-10T00:36:06.0983535Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-10-10T00:36:06.0984254Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-10-10T00:36:06.1978129Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-10-10T00:36:12.3972272Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-10-10T00:36:12.4136553Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-10-10T00:36:12.4471551Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-10-10T00:36:12.4603652Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-10-10T00:36:12.4623941Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:36:12.4646409Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-10-10T00:36:12.7362055Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-10-10T00:36:12.7532905Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-10-10T00:36:12.7959156Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:36:12.8881457Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-10-10T00:36:12.9033703Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-10-10T00:36:12.9188907Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-10-10T00:36:12.9207342Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:12.9208316Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:12.9236789Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-10-10T00:36:14.9178695Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-10-10T00:36:15.1494141Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-10-10T00:36:15.1922803Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-10-10T00:36:15.2238808Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-10-10T00:36:15.2660770Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:36:15.3057377Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-10-10T00:36:15.3413754Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-10-10T00:36:15.4467765Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-10-10T00:36:15.7547371Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-10-10T00:36:15.7579166Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-10-10T00:36:15.7608638Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-10-10T00:36:16.8965670Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-10-10T00:36:16.9556729Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-10-10T00:36:16.9569500Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:36:16.9570315Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:36:16.9572513Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:36:16.9575026Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:36:16.9578190Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:36:16.9579092Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:36:16.9580165Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:36:16.9581283Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:36:16.9617078Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-10-10T00:36:17.3759861Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-10-10T00:36:17.3760611Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-10-10T00:36:17.3761290Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-10-10T00:36:17.3762002Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-10-10T00:36:17.4761379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-10-10T00:36:18.0565187Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-10-10T00:36:24.1389855Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-10-10T00:36:24.8509832Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-10-10T00:36:24.8894952Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-10-10T00:36:24.9071021Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-10-10T00:36:25.0043798Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-10-10T00:36:25.0180205Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-10-10T00:36:25.0320868Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-10-10T00:36:25.0470327Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-10-10T00:36:25.0485615Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:25.0486904Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:25.0517275Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-10-10T00:36:26.9613023Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-10-10T00:36:27.1954244Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-10-10T00:36:27.2391528Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-10-10T00:36:27.5892221Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-10-10T00:36:27.6004916Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-10-10T00:36:27.8361894Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-10-10T00:36:27.8393120Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:36:27.8393877Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-10-10T00:36:27.8417807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-10-10T00:36:28.4077401Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-10-10T00:36:28.8490774Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-10-10T00:36:28.9163616Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-10-10T00:36:28.9263478Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-10-10T00:36:28.9381311Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
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2025-10-10T00:36:31.0571951Z ##[endgroup]
2025-10-10T00:36:31.0572421Z ##[group]Persisting credentials for submodules
2025-10-10T00:36:31.0578745Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
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2025-10-10T00:36:31.5631899Z [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"
2025-10-10T00:36:31.5949213Z Entering 'android/libs/fbjni'
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2025-10-10T00:36:32.2792827Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-10-10T00:36:32.3119268Z Entering 'android/libs/fbjni'
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2025-10-10T00:36:32.4129354Z Entering 'third_party/flash-attention'
2025-10-10T00:36:32.4172798Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:36:32.4218493Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:36:32.4268746Z Entering 'third_party/flatbuffers'
2025-10-10T00:36:32.4316588Z Entering 'third_party/fmt'
2025-10-10T00:36:32.4363801Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:36:32.4401357Z Entering 'third_party/gloo'
2025-10-10T00:36:32.4450303Z Entering 'third_party/googletest'
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2025-10-10T00:36:32.4666459Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
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2025-10-10T00:36:32.4751541Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-10-10T00:36:32.5086998Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:36:32.5128093Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:32.5169392Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:32.5218949Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:36:32.5255101Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:36:32.5297688Z Entering 'third_party/kleidiai'
2025-10-10T00:36:32.5342264Z Entering 'third_party/mimalloc'
2025-10-10T00:36:32.5384942Z Entering 'third_party/nlohmann'
2025-10-10T00:36:32.5431831Z Entering 'third_party/onnx'
2025-10-10T00:36:32.5486862Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:36:32.5531914Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:36:32.5574290Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
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2025-10-10T00:36:32.5693400Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:36:32.5734659Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:36:32.5776531Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:36:32.5825179Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:36:32.5863843Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:32.5909616Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:32.5951822Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:36:32.6009377Z Entering 'third_party/pocketfft'
2025-10-10T00:36:32.6050293Z Entering 'third_party/protobuf'
2025-10-10T00:36:32.6095146Z Entering 'third_party/protobuf/third_party/benchmark'
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2025-10-10T00:36:32.6186620Z Entering 'third_party/psimd'
2025-10-10T00:36:32.6232219Z Entering 'third_party/pthreadpool'
2025-10-10T00:36:32.6271602Z Entering 'third_party/pybind11'
2025-10-10T00:36:32.6312857Z Entering 'third_party/python-peachpy'
2025-10-10T00:36:32.6353401Z Entering 'third_party/sleef'
2025-10-10T00:36:32.6396708Z Entering 'third_party/tensorpipe'
2025-10-10T00:36:32.6437349Z Entering 'third_party/tensorpipe/third_party/googletest'
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2025-10-10T00:36:32.6523907Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:36:32.6563638Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:36:32.6603137Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:36:32.6667002Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-10-10T00:36:32.6982134Z Entering 'android/libs/fbjni'
2025-10-10T00:36:32.7024937Z Entering 'third_party/FP16'
2025-10-10T00:36:32.7068271Z Entering 'third_party/FXdiv'
2025-10-10T00:36:32.7111222Z Entering 'third_party/NNPACK'
2025-10-10T00:36:32.7152658Z Entering 'third_party/NVTX'
2025-10-10T00:36:32.7194680Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:36:32.7234909Z Entering 'third_party/XNNPACK'
2025-10-10T00:36:32.7289132Z Entering 'third_party/aiter'
2025-10-10T00:36:32.7331235Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:36:32.7377735Z Entering 'third_party/benchmark'
2025-10-10T00:36:32.7423063Z Entering 'third_party/composable_kernel'
2025-10-10T00:36:32.7471512Z Entering 'third_party/cpp-httplib'
2025-10-10T00:36:32.7518557Z Entering 'third_party/cpuinfo'
2025-10-10T00:36:32.7559057Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:36:32.7601513Z Entering 'third_party/cutlass'
2025-10-10T00:36:32.7650276Z Entering 'third_party/fbgemm'
2025-10-10T00:36:32.7691973Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:36:32.7730467Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:36:32.7775783Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:36:32.7821704Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:36:32.7870948Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:36:32.7909369Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:36:32.7951441Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:36:32.7993406Z Entering 'third_party/flash-attention'
2025-10-10T00:36:32.8033649Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:36:32.8078653Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:36:32.8131265Z Entering 'third_party/flatbuffers'
2025-10-10T00:36:32.8175768Z Entering 'third_party/fmt'
2025-10-10T00:36:32.8221995Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:36:32.8263214Z Entering 'third_party/gloo'
2025-10-10T00:36:32.8303998Z Entering 'third_party/googletest'
2025-10-10T00:36:32.8345453Z Entering 'third_party/ideep'
2025-10-10T00:36:32.8384241Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:36:32.8435229Z Entering 'third_party/ittapi'
2025-10-10T00:36:32.8473030Z Entering 'third_party/kineto'
2025-10-10T00:36:32.8517811Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:36:32.8556248Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:36:32.8598351Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:36:32.8641685Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:36:32.8683729Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:36:32.8725907Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:36:32.8768484Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:36:32.8807128Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:36:32.8849150Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:36:32.8889698Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:36:32.8928149Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:36:32.8968572Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:32.9007567Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:32.9058311Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:36:32.9094414Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:36:32.9135629Z Entering 'third_party/kleidiai'
2025-10-10T00:36:32.9178726Z Entering 'third_party/mimalloc'
2025-10-10T00:36:32.9231149Z Entering 'third_party/nlohmann'
2025-10-10T00:36:32.9271747Z Entering 'third_party/onnx'
2025-10-10T00:36:32.9325176Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:36:32.9371909Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:36:32.9418844Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:36:32.9464150Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:36:32.9507532Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:36:32.9548649Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:36:32.9589158Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:36:32.9629614Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:36:32.9670738Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:36:32.9713085Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:32.9753520Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:32.9801989Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:36:32.9854317Z Entering 'third_party/pocketfft'
2025-10-10T00:36:32.9899897Z Entering 'third_party/protobuf'
2025-10-10T00:36:32.9938687Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:36:32.9978789Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:36:33.0026168Z Entering 'third_party/psimd'
2025-10-10T00:36:33.0067832Z Entering 'third_party/pthreadpool'
2025-10-10T00:36:33.0111635Z Entering 'third_party/pybind11'
2025-10-10T00:36:33.0160863Z Entering 'third_party/python-peachpy'
2025-10-10T00:36:33.0205461Z Entering 'third_party/sleef'
2025-10-10T00:36:33.0248075Z Entering 'third_party/tensorpipe'
2025-10-10T00:36:33.0288102Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:36:33.0332136Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:36:33.0370263Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:36:33.0411760Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:36:33.0450146Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:36:33.0513091Z ##[endgroup]
2025-10-10T00:36:33.0556989Z [command]/usr/bin/git log -1 --format=%H
2025-10-10T00:36:33.0589101Z 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:36:33.0702074Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-10-10T00:36:33.0702345Z cd "${GITHUB_WORKSPACE}"
2025-10-10T00:36:33.0702566Z # Clean stale submodule dirs
2025-10-10T00:36:33.0702786Z if [ -z "${NO_SUDO}" ]; then
2025-10-10T00:36:33.0703040Z   sudo git submodule foreach --recursive git clean -ffdx
2025-10-10T00:36:33.0703298Z else
2025-10-10T00:36:33.0703518Z   git submodule foreach --recursive git clean -ffdx
2025-10-10T00:36:33.0703761Z fi
2025-10-10T00:36:33.0712487Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:33.0712744Z env:
2025-10-10T00:36:33.0712934Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.0713126Z   NO_SUDO: true
2025-10-10T00:36:33.0713287Z ##[endgroup]
2025-10-10T00:36:33.1062124Z Entering 'android/libs/fbjni'
2025-10-10T00:36:33.1096814Z Entering 'third_party/FP16'
2025-10-10T00:36:33.1128624Z Entering 'third_party/FXdiv'
2025-10-10T00:36:33.1157990Z Entering 'third_party/NNPACK'
2025-10-10T00:36:33.1192593Z Entering 'third_party/NVTX'
2025-10-10T00:36:33.1228134Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:36:33.1260322Z Entering 'third_party/XNNPACK'
2025-10-10T00:36:33.1369284Z Entering 'third_party/aiter'
2025-10-10T00:36:33.1410982Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:36:33.1502855Z Entering 'third_party/benchmark'
2025-10-10T00:36:33.1533946Z Entering 'third_party/composable_kernel'
2025-10-10T00:36:33.1635161Z Entering 'third_party/cpp-httplib'
2025-10-10T00:36:33.1669006Z Entering 'third_party/cpuinfo'
2025-10-10T00:36:33.1708969Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:36:33.1744603Z Entering 'third_party/cutlass'
2025-10-10T00:36:33.1834060Z Entering 'third_party/fbgemm'
2025-10-10T00:36:33.1884827Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:36:33.1918861Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:36:33.2025742Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:36:33.2061735Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:36:33.2147656Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:36:33.2181987Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:36:33.2213374Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:36:33.2258211Z Entering 'third_party/flash-attention'
2025-10-10T00:36:33.2292881Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:36:33.2375987Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:36:33.2451792Z Entering 'third_party/flatbuffers'
2025-10-10T00:36:33.2520227Z Entering 'third_party/fmt'
2025-10-10T00:36:33.2549146Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:36:33.2582776Z Entering 'third_party/gloo'
2025-10-10T00:36:33.2614870Z Entering 'third_party/googletest'
2025-10-10T00:36:33.2649493Z Entering 'third_party/ideep'
2025-10-10T00:36:33.2679570Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:36:33.2756198Z Entering 'third_party/ittapi'
2025-10-10T00:36:33.2787111Z Entering 'third_party/kineto'
2025-10-10T00:36:33.2822417Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:36:33.2855366Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:36:33.2898627Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:36:33.2929575Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:36:33.2961726Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:36:33.2990923Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:36:33.3029648Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:36:33.3060802Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:36:33.3089612Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:36:33.3128423Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:36:33.3156304Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:36:33.3186140Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:33.3229124Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:33.3265714Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:36:33.3295748Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:36:33.3328860Z Entering 'third_party/kleidiai'
2025-10-10T00:36:33.3363939Z Entering 'third_party/mimalloc'
2025-10-10T00:36:33.3398067Z Entering 'third_party/nlohmann'
2025-10-10T00:36:33.3437770Z Entering 'third_party/onnx'
2025-10-10T00:36:33.3679839Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:36:33.3718850Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:36:33.3767704Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:36:33.3802305Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:36:33.3837582Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:36:33.3868814Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:36:33.3908976Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:36:33.3937762Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:36:33.3967917Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:36:33.4000499Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:33.4043466Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:33.4082261Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:36:33.4281489Z Entering 'third_party/pocketfft'
2025-10-10T00:36:33.4313517Z Entering 'third_party/protobuf'
2025-10-10T00:36:33.4379588Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:36:33.4410935Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:36:33.4451698Z Entering 'third_party/psimd'
2025-10-10T00:36:33.4478674Z Entering 'third_party/pthreadpool'
2025-10-10T00:36:33.4511041Z Entering 'third_party/pybind11'
2025-10-10T00:36:33.4547622Z Entering 'third_party/python-peachpy'
2025-10-10T00:36:33.4581654Z Entering 'third_party/sleef'
2025-10-10T00:36:33.4619573Z Entering 'third_party/tensorpipe'
2025-10-10T00:36:33.4655221Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:36:33.4682687Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:36:33.4713789Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:36:33.4751590Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:36:33.4780397Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:36:33.4912734Z Prepare all required actions
2025-10-10T00:36:33.4913242Z Getting action download info
2025-10-10T00:36:33.6471269Z ##[group]Run ./.github/actions/setup-linux
2025-10-10T00:36:33.6471511Z env:
2025-10-10T00:36:33.6471681Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.6471864Z ##[endgroup]
2025-10-10T00:36:33.6514028Z ##[group]Run set -euo pipefail
2025-10-10T00:36:33.6514318Z set -euo pipefail
2025-10-10T00:36:33.6514536Z function get_ec2_metadata() {
2025-10-10T00:36:33.6514815Z   # Pulled from instance metadata endpoint for EC2
2025-10-10T00:36:33.6515250Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-10-10T00:36:33.6515623Z   category=$1
2025-10-10T00:36:33.6515871Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-10-10T00:36:33.6516158Z   runner_name_str=i-0d064727453429bc6
2025-10-10T00:36:33.6516466Z   if [[ -f /.inarc ]]; then
2025-10-10T00:36:33.6516702Z     echo "ARC Runner, no info on ec2 metadata"
2025-10-10T00:36:33.6516975Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-10-10T00:36:33.6517288Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-10-10T00:36:33.6517571Z   else
2025-10-10T00:36:33.6518137Z     curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-10-10T00:36:33.6518696Z   fi
2025-10-10T00:36:33.6518863Z }
2025-10-10T00:36:33.6519063Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-10-10T00:36:33.6519355Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-10-10T00:36:33.6519670Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-10-10T00:36:33.6519952Z echo "system info $(uname -a)"
2025-10-10T00:36:33.6526334Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:33.6526599Z env:
2025-10-10T00:36:33.6526770Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.6526959Z ##[endgroup]
2025-10-10T00:36:33.6670618Z ami-id: ami-08982f1c5bf93d976
2025-10-10T00:36:33.6768243Z instance-id: i-0d064727453429bc6
2025-10-10T00:36:33.6867854Z instance-type: m7i-flex.8xlarge
2025-10-10T00:36:33.6879438Z system info Linux ip-10-0-48-91.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-10-10T00:36:33.6905126Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-10-10T00:36:33.6905484Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-10-10T00:36:33.6911194Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:33.6911453Z env:
2025-10-10T00:36:33.6911614Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.6911803Z ##[endgroup]
2025-10-10T00:36:33.6960869Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:36:33.6961572Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:36:33.6966335Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:33.6966606Z env:
2025-10-10T00:36:33.6966772Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.6966969Z ##[endgroup]
2025-10-10T00:36:33.7023328Z ##[group]Run if systemctl is-active --quiet docker; then
2025-10-10T00:36:33.7023657Z if systemctl is-active --quiet docker; then
2025-10-10T00:36:33.7023934Z     echo "Docker daemon is running...";
2025-10-10T00:36:33.7024170Z else
2025-10-10T00:36:33.7024420Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-10-10T00:36:33.7024705Z fi
2025-10-10T00:36:33.7029420Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:33.7029685Z env:
2025-10-10T00:36:33.7029844Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.7030037Z ##[endgroup]
2025-10-10T00:36:33.7107651Z Docker daemon is running...
2025-10-10T00:36:33.7144970Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T00:36:33.7145204Z with:
2025-10-10T00:36:33.7145359Z   shell: bash
2025-10-10T00:36:33.7145531Z   timeout_minutes: 5
2025-10-10T00:36:33.7145710Z   max_attempts: 3
2025-10-10T00:36:33.7145891Z   retry_wait_seconds: 30
2025-10-10T00:36:33.7147374Z   command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
    --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"

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

2025-10-10T00:36:33.7148795Z   polling_interval_seconds: 1
2025-10-10T00:36:33.7149000Z   warning_on_retry: true
2025-10-10T00:36:33.7149189Z   continue_on_error: false
2025-10-10T00:36:33.7149368Z env:
2025-10-10T00:36:33.7149530Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.7149723Z   AWS_RETRY_MODE: standard
2025-10-10T00:36:33.7149909Z   AWS_MAX_ATTEMPTS: 5
2025-10-10T00:36:33.7150089Z   AWS_DEFAULT_REGION: us-east-1
2025-10-10T00:36:33.7150288Z ##[endgroup]
2025-10-10T00:36:34.7880585Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:34.7881275Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:34.7882006Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:34.7882455Z 
2025-10-10T00:36:34.7887980Z Login Succeeded
2025-10-10T00:36:34.8460129Z Command completed after 1 attempt(s).
2025-10-10T00:36:34.8515834Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:36:34.8516219Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:36:34.8516525Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:36:34.8524151Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:34.8524405Z env:
2025-10-10T00:36:34.8524576Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:34.8524778Z ##[endgroup]
2025-10-10T00:36:34.8620381Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:36:34.8620791Z # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:36:34.8621088Z # shellcheck disable=SC2046
2025-10-10T00:36:34.8621331Z docker stop $(docker ps -q) || true
2025-10-10T00:36:34.8621568Z # Prune all of the docker images
2025-10-10T00:36:34.8621931Z docker system prune -af
2025-10-10T00:36:34.8626854Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:34.8627112Z env:
2025-10-10T00:36:34.8627266Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:34.8627453Z ##[endgroup]
2025-10-10T00:36:34.9070968Z "docker stop" requires at least 1 argument.
2025-10-10T00:36:34.9071312Z See 'docker stop --help'.
2025-10-10T00:36:34.9071449Z 
2025-10-10T00:36:34.9071590Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-10-10T00:36:34.9071777Z 
2025-10-10T00:36:34.9071862Z Stop one or more running containers
2025-10-10T00:36:34.9277424Z Total reclaimed space: 0B
2025-10-10T00:36:34.9414732Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-10-10T00:36:34.9415061Z with:
2025-10-10T00:36:34.9415658Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.9416347Z   use-custom-docker-registry: true
2025-10-10T00:36:34.9416576Z   docker-build-dir: .ci/docker
2025-10-10T00:36:34.9416783Z   docker-build-script: ./build.sh
2025-10-10T00:36:34.9417000Z   working-directory: .
2025-10-10T00:36:34.9417254Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:34.9417555Z   force-push: false
2025-10-10T00:36:34.9417719Z env:
2025-10-10T00:36:34.9417879Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:34.9418064Z ##[endgroup]
2025-10-10T00:36:34.9440704Z ##[group]Run set -ex
2025-10-10T00:36:34.9440943Z set -ex
2025-10-10T00:36:34.9441109Z 
2025-10-10T00:36:34.9441432Z # If the docker build directory or the build script doesn't exist, the action will
2025-10-10T00:36:34.9441854Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-10-10T00:36:34.9442210Z # job could then download the pre-built image as usual
2025-10-10T00:36:34.9442647Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-10-10T00:36:34.9443062Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:34.9443282Z else
2025-10-10T00:36:34.9443476Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:34.9443766Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:34.9444034Z 
2025-10-10T00:36:34.9444399Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-10-10T00:36:34.9444788Z   exit 0
2025-10-10T00:36:34.9444940Z fi
2025-10-10T00:36:34.9445092Z 
2025-10-10T00:36:34.9445328Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-10-10T00:36:34.9445709Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-10-10T00:36:34.9446053Z   # use it as it is, but first let's extract the tag
2025-10-10T00:36:34.9446359Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-10-10T00:36:34.9446690Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:34.9447002Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:34.9447260Z else
2025-10-10T00:36:34.9447449Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-10-10T00:36:34.9447699Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-10-10T00:36:34.9447961Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-10-10T00:36:34.9448183Z   fi
2025-10-10T00:36:34.9448478Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-10-10T00:36:34.9449059Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:34.9449583Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:34.9450015Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:34.9450291Z fi
2025-10-10T00:36:34.9455690Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:34.9455957Z env:
2025-10-10T00:36:34.9456118Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:34.9456318Z   REPO_NAME: pytorch
2025-10-10T00:36:34.9457008Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.9457603Z   DOCKER_BUILD_DIR: .ci/docker
2025-10-10T00:36:34.9457812Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-10-10T00:36:34.9458074Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:34.9458356Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-10-10T00:36:34.9458573Z   CUSTOM_TAG_PREFIX: 
2025-10-10T00:36:34.9458758Z ##[endgroup]
2025-10-10T00:36:34.9520048Z + [[ -d .ci/docker ]]
2025-10-10T00:36:34.9520489Z + [[ -f .ci/docker/./build.sh ]]
2025-10-10T00:36:34.9520812Z + [[ true == \t\r\u\e ]]
2025-10-10T00:36:34.9521076Z + echo skip=false
2025-10-10T00:36:34.9521877Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]]
2025-10-10T00:36:34.9526967Z ++ awk -F '[:,]' '{print $2}'
2025-10-10T00:36:34.9528191Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.9545465Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.9548474Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.9549346Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.9583535Z ##[group]Run set +e
2025-10-10T00:36:34.9583781Z set +e
2025-10-10T00:36:34.9583957Z set -x
2025-10-10T00:36:34.9584123Z 
2025-10-10T00:36:34.9584280Z login() {
2025-10-10T00:36:34.9584602Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-10-10T00:36:34.9584957Z }
2025-10-10T00:36:34.9585111Z 
2025-10-10T00:36:34.9585263Z retry () {
2025-10-10T00:36:34.9585452Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-10-10T00:36:34.9585669Z }
2025-10-10T00:36:34.9585819Z 
2025-10-10T00:36:34.9585984Z retry login "${DOCKER_REGISTRY}"
2025-10-10T00:36:34.9586198Z 
2025-10-10T00:36:34.9586359Z START_TIME=$(date +%s)
2025-10-10T00:36:34.9586574Z # Wait up to 120 minutes
2025-10-10T00:36:34.9586829Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-10-10T00:36:34.9587146Z   # Check if image already exists, if it does then skip building it
2025-10-10T00:36:34.9587469Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-10-10T00:36:34.9587718Z     exit 0
2025-10-10T00:36:34.9587889Z   fi
2025-10-10T00:36:34.9588047Z 
2025-10-10T00:36:34.9588311Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-10-10T00:36:34.9588741Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-10-10T00:36:34.9589160Z   # latter, it will wait for the Docker images to become available before continuing
2025-10-10T00:36:34.9589614Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-10-10T00:36:34.9589896Z     # It's a Docker build job, let's build the image
2025-10-10T00:36:34.9590447Z     break
2025-10-10T00:36:34.9590667Z   else
2025-10-10T00:36:34.9590926Z     # It's a regular build job, wait for the image to become available
2025-10-10T00:36:34.9591208Z     sleep 300
2025-10-10T00:36:34.9591384Z   fi
2025-10-10T00:36:34.9591549Z done
2025-10-10T00:36:34.9591709Z 
2025-10-10T00:36:34.9591957Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-10-10T00:36:34.9592442Z # be empty.  The default action would be to continue rebuild the image
2025-10-10T00:36:34.9592787Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-10-10T00:36:34.9593092Z   # if we're on the base branch then use the parent commit
2025-10-10T00:36:34.9593369Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-10-10T00:36:34.9593597Z else
2025-10-10T00:36:34.9593825Z   # otherwise we're on a PR, so use the most recent base commit
2025-10-10T00:36:34.9594150Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-10-10T00:36:34.9594396Z fi
2025-10-10T00:36:34.9594554Z 
2025-10-10T00:36:34.9594719Z if [[ -z "${MERGE_BASE}" ]]; then
2025-10-10T00:36:34.9594969Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:34.9595197Z 
2025-10-10T00:36:34.9595512Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-10-10T00:36:34.9595859Z   exit 0
2025-10-10T00:36:34.9596024Z fi
2025-10-10T00:36:34.9596177Z 
2025-10-10T00:36:34.9596395Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-10-10T00:36:34.9596832Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-10-10T00:36:34.9597219Z   exit 1
2025-10-10T00:36:34.9597383Z fi
2025-10-10T00:36:34.9597538Z 
2025-10-10T00:36:34.9597786Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-10-10T00:36:34.9598215Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-10-10T00:36:34.9598600Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-10-10T00:36:34.9599047Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-10-10T00:36:34.9599544Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-10-10T00:36:34.9599854Z fi
2025-10-10T00:36:34.9599999Z 
2025-10-10T00:36:34.9600188Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:34.9605129Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:34.9605387Z env:
2025-10-10T00:36:34.9605543Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:34.9605739Z   DOCKER_BUILD_DIR: .ci/docker
2025-10-10T00:36:34.9605987Z   BASE_REVISION: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:36:34.9606610Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.9607369Z   DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.9607841Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:34.9608103Z   DOCKER_PUSH: 
2025-10-10T00:36:34.9608310Z ##[endgroup]
2025-10-10T00:36:34.9630025Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:34.9630398Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:34.9632530Z + aws ecr get-login-password --region us-east-1
2025-10-10T00:36:34.9633143Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:35.4247871Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:35.4248356Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:35.4248754Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:35.4249015Z 
2025-10-10T00:36:35.4249093Z Login Succeeded
2025-10-10T00:36:35.4269139Z ++ date +%s
2025-10-10T00:36:35.4278710Z + START_TIME=1760056595
2025-10-10T00:36:35.4280925Z ++ date +%s
2025-10-10T00:36:35.4291459Z + [[ 1760049395 -lt 1760056595 ]]
2025-10-10T00:36:35.4292165Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
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2025-10-10T00:36:35.6785253Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:36:35.6785569Z 		},
2025-10-10T00:36:35.6785700Z 		{
2025-10-10T00:36:35.6785926Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:35.6786198Z 			"size": 108,
2025-10-10T00:36:35.6786476Z 			"digest": "sha256:f090f773ba0e46e96a12583445cf1f6741e20aea9362c49517163d0f0bfc0fc1"
2025-10-10T00:36:35.6786774Z 		},
2025-10-10T00:36:35.6786914Z 		{
2025-10-10T00:36:35.6787138Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:35.6787411Z 			"size": 54145665,
2025-10-10T00:36:35.6787690Z 			"digest": "sha256:56f1f8e7f2476d5d6777b43002615dd64f62ba9a6a82678195124a491048faa0"
2025-10-10T00:36:35.6787992Z 		},
2025-10-10T00:36:35.6788130Z 		{
2025-10-10T00:36:35.6788351Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:35.6788614Z 			"size": 32,
2025-10-10T00:36:35.6788897Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:36:35.6789205Z 		}
2025-10-10T00:36:35.6789344Z 	]
2025-10-10T00:36:35.6789477Z }
2025-10-10T00:36:35.6789639Z + exit 0
2025-10-10T00:36:35.6818473Z ##[group]Run set -eux
2025-10-10T00:36:35.6818701Z set -eux
2025-10-10T00:36:35.6818997Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-10-10T00:36:35.6819744Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true
2025-10-10T00:36:35.6825338Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:35.6825603Z env:
2025-10-10T00:36:35.6825777Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:35.6825976Z ##[endgroup]
2025-10-10T00:36:35.6851274Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-10-10T00:36:35.6851645Z + jq --raw-output .SecretString
2025-10-10T00:36:35.6852026Z + jq -r .docker_hub_readonly_token
2025-10-10T00:36:35.6853952Z + docker login --username pytorchbot --password-stdin
2025-10-10T00:36:36.1691462Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:36.1691928Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:36.1692386Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:36.1692636Z 
2025-10-10T00:36:36.1692725Z Login Succeeded
2025-10-10T00:36:36.1776928Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-10-10T00:36:36.1777209Z tag=${ECR_DOCKER_IMAGE##*:}
2025-10-10T00:36:36.1777488Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-10-10T00:36:36.1782484Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:36.1782753Z env:
2025-10-10T00:36:36.1782927Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:36.1783532Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:36.1784110Z ##[endgroup]
2025-10-10T00:36:36.1809384Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:36.1856844Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-10-10T00:36:36.1857271Z with:
2025-10-10T00:36:36.1857821Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:36.1858458Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:36.1858734Z env:
2025-10-10T00:36:36.1858895Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:36.1859082Z ##[endgroup]
2025-10-10T00:36:36.1875801Z ##[group]Run set -x
2025-10-10T00:36:36.1876022Z set -x
2025-10-10T00:36:36.1876197Z set +e
2025-10-10T00:36:36.1876361Z 
2025-10-10T00:36:36.1876515Z login() {
2025-10-10T00:36:36.1876858Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-10-10T00:36:36.1877231Z }
2025-10-10T00:36:36.1877388Z 
2025-10-10T00:36:36.1877586Z retry () {
2025-10-10T00:36:36.1877795Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-10-10T00:36:36.1878014Z }
2025-10-10T00:36:36.1878165Z 
2025-10-10T00:36:36.1878328Z retry login "${DOCKER_REGISTRY}"
2025-10-10T00:36:36.1878542Z 
2025-10-10T00:36:36.1878882Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-10-10T00:36:36.1879321Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-10-10T00:36:36.1879578Z 
2025-10-10T00:36:36.1879721Z set -e
2025-10-10T00:36:36.1879964Z # ignore output since only exit code is used for conditional
2025-10-10T00:36:36.1880301Z # only pull docker image if it's not available locally
2025-10-10T00:36:36.1880665Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-10-10T00:36:36.1881009Z   retry docker pull "${DOCKER_IMAGE}"
2025-10-10T00:36:36.1881230Z fi
2025-10-10T00:36:36.1886064Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:36.1886331Z env:
2025-10-10T00:36:36.1886495Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:36.1887084Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:36.1887734Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:36.1887999Z ##[endgroup]
2025-10-10T00:36:36.1912886Z + set +e
2025-10-10T00:36:36.1913190Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:36.1913518Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:36.1916103Z + aws ecr get-login-password --region us-east-1
2025-10-10T00:36:36.1916654Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:36.6461704Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:36.6463551Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:36.6464095Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:36.6464463Z 
2025-10-10T00:36:36.6472592Z Login Succeeded
2025-10-10T00:36:36.6491880Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:36.6492598Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-10-10T00:36:36.8433921Z + IMAGE_SIZE=28760.563641548157
2025-10-10T00:36:36.8434229Z Compressed size of image in MB: 28760.563641548157
2025-10-10T00:36:36.8439351Z + echo 'Compressed size of image in MB: 28760.563641548157'
2025-10-10T00:36:36.8569994Z + set -e
2025-10-10T00:36:36.8571049Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:36.8572233Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:36.8573727Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:37.0988611Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac: Pulling from pytorch/ci-image
2025-10-10T00:36:37.0989191Z 828c1365039a: Pulling fs layer
2025-10-10T00:36:37.0989406Z d48484dff770: Pulling fs layer
2025-10-10T00:36:37.0989610Z 63f2ff1b73ca: Pulling fs layer
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2025-10-10T00:36:37.1002306Z 43ee72be7eaa: Pulling fs layer
2025-10-10T00:36:37.1002497Z 4a952c1cd3dd: Waiting
2025-10-10T00:36:37.1002701Z 4b724c5636ce: Pulling fs layer
2025-10-10T00:36:37.1002896Z 47122b9b853f: Pulling fs layer
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2025-10-10T00:36:37.1003272Z cf3649f6486a: Waiting
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2025-10-10T00:36:37.1004209Z 7a4d1eb936e8: Waiting
2025-10-10T00:36:37.1004382Z fec720215749: Waiting
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2025-10-10T00:36:37.1005313Z 130af8bfbe27: Waiting
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2025-10-10T00:36:37.1005665Z 193b2b1a9925: Waiting
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2025-10-10T00:36:37.1006377Z 40e2321b482a: Waiting
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2025-10-10T00:36:37.1015535Z b7b658babd8c: Waiting
2025-10-10T00:36:37.1764078Z d48484dff770: Verifying Checksum
2025-10-10T00:36:37.1764388Z d48484dff770: Download complete
2025-10-10T00:36:37.2907338Z 4a952c1cd3dd: Download complete
2025-10-10T00:36:37.3719664Z cf3649f6486a: Download complete
2025-10-10T00:36:37.4544737Z 7a4d1eb936e8: Verifying Checksum
2025-10-10T00:36:37.4547298Z 7a4d1eb936e8: Download complete
2025-10-10T00:36:37.4569783Z 828c1365039a: Verifying Checksum
2025-10-10T00:36:37.4570077Z 828c1365039a: Download complete
2025-10-10T00:36:37.5377271Z 130af8bfbe27: Verifying Checksum
2025-10-10T00:36:37.5378951Z 130af8bfbe27: Download complete
2025-10-10T00:36:37.5937092Z fec720215749: Verifying Checksum
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2025-10-10T00:46:07.6491471Z Digest: sha256:2e6e7297c9105722429dc16c6731f2c79bd9d6b81eb7a39feebebd90cfe1676f
2025-10-10T00:46:07.7259522Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:46:07.7616010Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:46:07.7669231Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:46:07.7669858Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:46:07.7676210Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:07.7676462Z env:
2025-10-10T00:46:07.7676630Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:07.7676843Z ##[endgroup]
2025-10-10T00:46:07.7754865Z Prepare all required actions
2025-10-10T00:46:07.7975911Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-10-10T00:46:07.7976203Z with:
2025-10-10T00:46:07.7976836Z   github-token: ***
2025-10-10T00:46:07.7977006Z env:
2025-10-10T00:46:07.7977171Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:07.7977362Z ##[endgroup]
2025-10-10T00:46:07.8126650Z ##[group]Run set -eux
2025-10-10T00:46:07.8126892Z set -eux
2025-10-10T00:46:07.8127211Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-10-10T00:46:07.8133809Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:07.8134164Z env:
2025-10-10T00:46:07.8134393Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:07.8134851Z   GITHUB_TOKEN: ***
2025-10-10T00:46:07.8135097Z ##[endgroup]
2025-10-10T00:46:07.8161642Z + python3 .github/scripts/get_workflow_job_id.py 18392306145 i-0d064727453429bc6
2025-10-10T00:46:08.7348003Z Setting output job-id=52406535392
2025-10-10T00:46:08.7348609Z Setting output job-name=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:08.7600284Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-10-10T00:46:08.7600794Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-10-10T00:46:08.7601396Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-10-10T00:46:08.7601936Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:46:08.7607985Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:08.7608260Z env:
2025-10-10T00:46:08.7608436Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:08.7608627Z   JOB_ID: 52406535392
2025-10-10T00:46:08.7608947Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:08.7609430Z   WORKFLOW_NAME: inductor
2025-10-10T00:46:08.7609629Z   WORKFLOW_RUN_ID: 18392306145
2025-10-10T00:46:08.7609894Z   MONITOR_LOG_INTERVAL: 5
2025-10-10T00:46:08.7610097Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-10-10T00:46:08.7610324Z ##[endgroup]
2025-10-10T00:46:09.4245554Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:46:09.7214098Z Collecting psutil==5.9.8
2025-10-10T00:46:09.7377857Z   Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB)
2025-10-10T00:46:09.8667077Z Collecting dataclasses_json==0.6.7
2025-10-10T00:46:09.8706440Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-10-10T00:46:09.9247053Z Collecting nvidia-ml-py==11.525.84
2025-10-10T00:46:09.9316277Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-10-10T00:46:10.0395519Z Collecting marshmallow<4.0.0,>=3.18.0
2025-10-10T00:46:10.0430240Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-10-10T00:46:10.1022742Z Collecting typing-inspect<1,>=0.4.0
2025-10-10T00:46:10.1057302Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-10-10T00:46:10.1804905Z Collecting packaging>=17.0
2025-10-10T00:46:10.1845355Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-10-10T00:46:10.2908461Z Collecting typing-extensions>=3.7.4
2025-10-10T00:46:10.2948391Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-10-10T00:46:10.3528948Z Collecting mypy-extensions>=0.3.0
2025-10-10T00:46:10.3565710Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-10-10T00:46:10.5832055Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-10-10T00:46:11.2128444Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0
2025-10-10T00:46:11.4624343Z Prepare all required actions
2025-10-10T00:46:11.4624678Z Getting action download info
2025-10-10T00:46:11.6286747Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-10-10T00:46:12.4429444Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-10-10T00:46:15.3214478Z ##[group]Run ./.github/actions/download-build-artifacts
2025-10-10T00:46:15.3214776Z with:
2025-10-10T00:46:15.3214968Z   name: linux-jammy-py3.10-gcc11-build
2025-10-10T00:46:15.3215199Z   s3-bucket: gha-artifacts
2025-10-10T00:46:15.3215394Z env:
2025-10-10T00:46:15.3215555Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:15.3215748Z ##[endgroup]
2025-10-10T00:46:15.3261270Z ##[group]Run seemethere/download-artifact-s3@v4
2025-10-10T00:46:15.3261551Z with:
2025-10-10T00:46:15.3261749Z   name: linux-jammy-py3.10-gcc11-build
2025-10-10T00:46:15.3262019Z   s3-bucket: gha-artifacts
2025-10-10T00:46:15.3262266Z   region: us-east-1
2025-10-10T00:46:15.3262427Z env:
2025-10-10T00:46:15.3262579Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:15.3262760Z ##[endgroup]
2025-10-10T00:46:15.9149525Z (node:48507) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-10-10T00:46:15.9150115Z 
2025-10-10T00:46:15.9150787Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-10-10T00:46:15.9151226Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-10-10T00:46:15.9151609Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-10-10T00:46:16.5498041Z Found 1 objects with prefix pytorch/pytorch/18392306145/linux-jammy-py3.10-gcc11-build/
2025-10-10T00:46:16.5498582Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-10-10T00:46:21.1420078Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-10-10T00:46:21.1424495Z Artifact download has finished successfully
2025-10-10T00:46:21.1610443Z ##[group]Run unzip -o artifacts.zip
2025-10-10T00:46:21.1610716Z unzip -o artifacts.zip
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2025-10-10T00:46:21.1617268Z ##[endgroup]
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2025-10-10T00:46:28.4996483Z   inflating: build/bin/torch_shm_manager  
2025-10-10T00:46:28.5000306Z    creating: .additional_ci_files/
2025-10-10T00:46:28.5064706Z   inflating: .additional_ci_files/test-times.json  
2025-10-10T00:46:28.5325258Z   inflating: .additional_ci_files/test-class-times.json  
2025-10-10T00:46:28.5498192Z ##[group]Run rm artifacts.zip
2025-10-10T00:46:28.5498434Z rm artifacts.zip
2025-10-10T00:46:28.5504833Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:28.5505105Z env:
2025-10-10T00:46:28.5505271Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:28.5505451Z ##[endgroup]
2025-10-10T00:46:28.5858049Z ##[group]Run df -H
2025-10-10T00:46:28.5858247Z df -H
2025-10-10T00:46:28.5863205Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:28.5863454Z env:
2025-10-10T00:46:28.5863614Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:28.5863785Z ##[endgroup]
2025-10-10T00:46:28.5903800Z Filesystem        Size  Used Avail Use% Mounted on
2025-10-10T00:46:28.5904150Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-10-10T00:46:28.5904395Z tmpfs              67G     0   67G   0% /dev/shm
2025-10-10T00:46:28.5904627Z tmpfs              27G  791k   27G   1% /run
2025-10-10T00:46:28.5904903Z /dev/nvme0n1p1    215G   71G  145G  33% /
2025-10-10T00:46:28.5905127Z tmpfs              67G   13k   67G   1% /tmp
2025-10-10T00:46:28.5905366Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-10-10T00:46:28.5938662Z Prepare all required actions
2025-10-10T00:46:28.5939500Z Getting action download info
2025-10-10T00:46:28.7746468Z ##[group]Run ./.github/actions/download-td-artifacts
2025-10-10T00:46:28.7746728Z with:
2025-10-10T00:46:28.7746881Z env:
2025-10-10T00:46:28.7747043Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:28.7747226Z ##[endgroup]
2025-10-10T00:46:28.7831599Z ##[group]Run seemethere/download-artifact-s3@v4
2025-10-10T00:46:28.7831855Z with:
2025-10-10T00:46:28.7832010Z   name: td_results
2025-10-10T00:46:28.7832193Z   s3-bucket: gha-artifacts
2025-10-10T00:46:28.7832386Z   region: us-east-1
2025-10-10T00:46:28.7832551Z env:
2025-10-10T00:46:28.7832699Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:28.7832882Z ##[endgroup]
2025-10-10T00:46:29.3421266Z (node:48525) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-10-10T00:46:29.3421688Z 
2025-10-10T00:46:29.3422048Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-10-10T00:46:29.3422488Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-10-10T00:46:29.3422861Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-10-10T00:46:29.4482546Z Found 0 objects with prefix pytorch/pytorch/18392306145/td_results/
2025-10-10T00:46:29.4487708Z Artifact download has finished successfully
2025-10-10T00:46:29.4724576Z ##[group]Run mkdir -p .additional_ci_files
2025-10-10T00:46:29.4724860Z mkdir -p .additional_ci_files
2025-10-10T00:46:29.4725156Z mv td_results.json .additional_ci_files/td_results.json || true
2025-10-10T00:46:29.4730859Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:29.4731106Z env:
2025-10-10T00:46:29.4731296Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:29.4731487Z ##[endgroup]
2025-10-10T00:46:29.4777624Z mv: cannot stat 'td_results.json': No such file or directory
2025-10-10T00:46:29.4856541Z ##[group]Run .github/scripts/parse_ref.py
2025-10-10T00:46:29.4856811Z .github/scripts/parse_ref.py
2025-10-10T00:46:29.4861782Z shell: /usr/bin/bash -e {0}
2025-10-10T00:46:29.4861980Z env:
2025-10-10T00:46:29.4862139Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:29.4862369Z ##[endgroup]
2025-10-10T00:46:29.5223713Z Setting output branch=main
2025-10-10T00:46:29.5316179Z Prepare all required actions
2025-10-10T00:46:29.5316527Z Getting action download info
2025-10-10T00:46:29.6541606Z ##[group]Run ./.github/actions/filter-test-configs
2025-10-10T00:46:29.6541865Z with:
2025-10-10T00:46:29.6542276Z   github-token: ***
2025-10-10T00:46:29.6544011Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:46:29.6546020Z   job-name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:29.6546358Z env:
2025-10-10T00:46:29.6546526Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:29.6546715Z ##[endgroup]
2025-10-10T00:46:29.6592522Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T00:46:29.6592801Z with:
2025-10-10T00:46:29.6592985Z   shell: bash
2025-10-10T00:46:29.6593183Z   timeout_minutes: 10
2025-10-10T00:46:29.6593390Z   max_attempts: 5
2025-10-10T00:46:29.6593585Z   retry_wait_seconds: 30
2025-10-10T00:46:29.6594181Z   command: set -eux
# PyYAML 6.0 doesn't work with MacOS x86 anymore
# This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2
python3 -m pip install requests==2.27.1 pyyaml==6.0.2

2025-10-10T00:46:29.6594786Z   polling_interval_seconds: 1
2025-10-10T00:46:29.6595018Z   warning_on_retry: true
2025-10-10T00:46:29.6595225Z   continue_on_error: false
2025-10-10T00:46:29.6595423Z env:
2025-10-10T00:46:29.6595595Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:29.6595969Z   GITHUB_TOKEN: ***
2025-10-10T00:46:29.6596160Z ##[endgroup]
2025-10-10T00:46:29.7628980Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-10-10T00:46:29.9546925Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:46:31.0328619Z Collecting requests==2.27.1
2025-10-10T00:46:31.0502637Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-10-10T00:46:31.3015797Z Collecting pyyaml==6.0.2
2025-10-10T00:46:31.3072246Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-10-10T00:46:31.5035334Z Collecting certifi>=2017.4.17
2025-10-10T00:46:31.5087655Z   Downloading certifi-2025.10.5-py3-none-any.whl (163 kB)
2025-10-10T00:46:31.5793951Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-10-10T00:46:31.5794624Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-10-10T00:46:31.9024300Z Collecting charset-normalizer~=2.0.0
2025-10-10T00:46:31.9065961Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-10-10T00:46:32.0302579Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-10-10T00:46:32.5129299Z Successfully installed certifi-2025.10.5 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-10-10T00:46:32.7266087Z Command completed after 1 attempt(s).
2025-10-10T00:46:32.7515643Z ##[group]Run set -x
2025-10-10T00:46:32.7515871Z set -x
2025-10-10T00:46:32.7516045Z 
2025-10-10T00:46:32.7516319Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-10-10T00:46:32.7516647Z # in runner workspace
2025-10-10T00:46:32.7517076Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-10-10T00:46:32.7523152Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:32.7523417Z env:
2025-10-10T00:46:32.7523589Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:32.7523790Z ##[endgroup]
2025-10-10T00:46:32.7549166Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-10-10T00:46:32.7701747Z Setting output branch=main
2025-10-10T00:46:32.7828892Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-10-10T00:46:32.7829218Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-10-10T00:46:32.7829471Z echo "Job name: ${JOB_NAME}"
2025-10-10T00:46:32.7829687Z 
2025-10-10T00:46:32.7829960Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-10-10T00:46:32.7830297Z # in runner workspace
2025-10-10T00:46:32.7830611Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-10-10T00:46:32.7830952Z   --workflow "${GITHUB_WORKFLOW}" \
2025-10-10T00:46:32.7831190Z   --job-name "${JOB_NAME}" \
2025-10-10T00:46:32.7832989Z   --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \
2025-10-10T00:46:32.7834814Z   --selected-test-configs "" \
2025-10-10T00:46:32.7835059Z   --pr-number "${PR_NUMBER}" \
2025-10-10T00:46:32.7835288Z   --tag "${TAG}" \
2025-10-10T00:46:32.7835501Z   --event-name "${EVENT_NAME}" \
2025-10-10T00:46:32.7835733Z   --schedule "${SCHEDULE}" \
2025-10-10T00:46:32.7835968Z   --branch "${HEAD_BRANCH}"
2025-10-10T00:46:32.7841095Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:32.7841362Z env:
2025-10-10T00:46:32.7841532Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:32.7842076Z   GITHUB_TOKEN: ***
2025-10-10T00:46:32.7842424Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:32.7842773Z   PR_NUMBER: 
2025-10-10T00:46:32.7842934Z   TAG: 
2025-10-10T00:46:32.7843095Z   EVENT_NAME: push
2025-10-10T00:46:32.7843272Z   SCHEDULE: 
2025-10-10T00:46:32.7843441Z   HEAD_BRANCH: main
2025-10-10T00:46:32.7843621Z ##[endgroup]
2025-10-10T00:46:32.7868576Z Workflow: inductor
2025-10-10T00:46:32.7869019Z Job name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:32.9668060Z Setting output keep-going=True
2025-10-10T00:46:32.9668951Z Setting output ci-verbose-test-logs=False
2025-10-10T00:46:32.9669277Z Setting output ci-test-showlocals=False
2025-10-10T00:46:32.9669520Z Setting output ci-no-test-timeout=False
2025-10-10T00:46:32.9669772Z Setting output ci-no-td=False
2025-10-10T00:46:32.9669997Z Setting output ci-td-distributed=False
2025-10-10T00:46:32.9670228Z Setting output is-unstable=False
2025-10-10T00:46:32.9670440Z Setting output reenabled-issues=
2025-10-10T00:46:32.9672490Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:46:32.9674401Z Setting output is-test-matrix-empty=False
2025-10-10T00:46:32.9954880Z ##[group]Run echo "Filtered matrix:"
2025-10-10T00:46:32.9955155Z echo "Filtered matrix:"
2025-10-10T00:46:32.9956892Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}"
2025-10-10T00:46:32.9958609Z 
2025-10-10T00:46:32.9958766Z echo
2025-10-10T00:46:32.9958963Z echo "Is the current job unstable? False"
2025-10-10T00:46:32.9959198Z 
2025-10-10T00:46:32.9959349Z echo
2025-10-10T00:46:32.9959538Z echo "Is keep-going label set? True"
2025-10-10T00:46:32.9959757Z 
2025-10-10T00:46:32.9959910Z echo
2025-10-10T00:46:32.9960086Z echo "Reenabled issues? "
2025-10-10T00:46:32.9964984Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:32.9965239Z env:
2025-10-10T00:46:32.9965417Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:32.9965613Z ##[endgroup]
2025-10-10T00:46:32.9988888Z Filtered matrix:
2025-10-10T00:46:32.9991037Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]}
2025-10-10T00:46:32.9992758Z 
2025-10-10T00:46:32.9992860Z Is the current job unstable? False
2025-10-10T00:46:32.9993005Z 
2025-10-10T00:46:32.9993098Z Is keep-going label set? True
2025-10-10T00:46:32.9993228Z 
2025-10-10T00:46:32.9993300Z Reenabled issues? 
2025-10-10T00:46:33.0208544Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-10-10T00:46:33.0208972Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-10-10T00:46:33.0214452Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:33.0214718Z env:
2025-10-10T00:46:33.0214889Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:33.0215083Z   JOB_TIMEOUT: 240
2025-10-10T00:46:33.0215257Z ##[endgroup]
2025-10-10T00:46:33.0346099Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:46:33.0346454Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:46:33.0346738Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:46:33.0351494Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:33.0351738Z env:
2025-10-10T00:46:33.0351898Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:33.0352081Z ##[endgroup]
2025-10-10T00:46:33.0501662Z ##[group]Run set -x
2025-10-10T00:46:33.0501935Z set -x
2025-10-10T00:46:33.0502218Z 
2025-10-10T00:46:33.0502404Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-10-10T00:46:33.0502687Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-10-10T00:46:33.0502963Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-10-10T00:46:33.0503220Z   TEST_COMMAND=.ci/onnx/test.sh
2025-10-10T00:46:33.0503431Z else
2025-10-10T00:46:33.0503631Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-10-10T00:46:33.0503853Z fi
2025-10-10T00:46:33.0504007Z 
2025-10-10T00:46:33.0504196Z # Leaving 1GB for the runner and other things
2025-10-10T00:46:33.0504601Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-10-10T00:46:33.0505164Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-10-10T00:46:33.0505605Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-10-10T00:46:33.0505947Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-10-10T00:46:33.0506234Z 
2025-10-10T00:46:33.0506429Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-10-10T00:46:33.0506669Z   SHM_OPTS=
2025-10-10T00:46:33.0506843Z   JENKINS_USER=
2025-10-10T00:46:33.0507089Z   # ensure that docker container cleanly exits in 12 hours
2025-10-10T00:46:33.0507422Z   # if for some reason cleanup action doesn't stop container
2025-10-10T00:46:33.0507694Z   # when job is cancelled
2025-10-10T00:46:33.0507916Z   DOCKER_SHELL_CMD="sleep 12h"
2025-10-10T00:46:33.0508117Z else
2025-10-10T00:46:33.0508307Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-10-10T00:46:33.0508548Z   JENKINS_USER="--user jenkins"
2025-10-10T00:46:33.0508769Z   DOCKER_SHELL_CMD=
2025-10-10T00:46:33.0508952Z fi
2025-10-10T00:46:33.0509111Z 
2025-10-10T00:46:33.0509347Z # detached container should get cleaned up by teardown_ec2_linux
2025-10-10T00:46:33.0509698Z # TODO: Stop building test binaries as part of the build phase
2025-10-10T00:46:33.0510108Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-10-10T00:46:33.0510457Z # shellcheck disable=SC2086,SC2090
2025-10-10T00:46:33.0510683Z container_name=$(docker run \
2025-10-10T00:46:33.0510901Z   ${GPU_FLAG:-} \
2025-10-10T00:46:33.0511120Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-10-10T00:46:33.0511360Z   -e BUILD_ENVIRONMENT \
2025-10-10T00:46:33.0511565Z   -e PR_NUMBER \
2025-10-10T00:46:33.0511763Z   -e GITHUB_ACTIONS \
2025-10-10T00:46:33.0511968Z   -e GITHUB_REPOSITORY \
2025-10-10T00:46:33.0512179Z   -e GITHUB_WORKFLOW \
2025-10-10T00:46:33.0512384Z   -e GITHUB_JOB \
2025-10-10T00:46:33.0512573Z   -e GITHUB_RUN_ID \
2025-10-10T00:46:33.0512774Z   -e GITHUB_RUN_NUMBER \
2025-10-10T00:46:33.0512983Z   -e GITHUB_RUN_ATTEMPT \
2025-10-10T00:46:33.0513190Z   -e JOB_ID \
2025-10-10T00:46:33.0513372Z   -e JOB_NAME \
2025-10-10T00:46:33.0513650Z   -e BASE_SHA \
2025-10-10T00:46:33.0513850Z   -e BRANCH \
2025-10-10T00:46:33.0514029Z   -e SHA1 \
2025-10-10T00:46:33.0514209Z   -e AWS_DEFAULT_REGION \
2025-10-10T00:46:33.0514417Z   -e IN_WHEEL_TEST \
2025-10-10T00:46:33.0514617Z   -e SHARD_NUMBER \
2025-10-10T00:46:33.0514812Z   -e TEST_CONFIG \
2025-10-10T00:46:33.0515002Z   -e NUM_TEST_SHARDS \
2025-10-10T00:46:33.0515215Z   -e REENABLED_ISSUES \
2025-10-10T00:46:33.0515437Z   -e CONTINUE_THROUGH_ERROR \
2025-10-10T00:46:33.0515783Z   -e VERBOSE_TEST_LOGS \
2025-10-10T00:46:33.0515996Z   -e TEST_SHOWLOCALS \
2025-10-10T00:46:33.0516259Z   -e NO_TEST_TIMEOUT \
2025-10-10T00:46:33.0516459Z   -e NO_TD \
2025-10-10T00:46:33.0516647Z   -e TD_DISTRIBUTED \
2025-10-10T00:46:33.0516847Z   -e PR_LABELS \
2025-10-10T00:46:33.0517072Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-10-10T00:46:33.0517308Z   -e SCCACHE_BUCKET \
2025-10-10T00:46:33.0517509Z   -e SCCACHE_REGION \
2025-10-10T00:46:33.0517700Z   -e XLA_CUDA \
2025-10-10T00:46:33.0517910Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-10-10T00:46:33.0518159Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-10-10T00:46:33.0518414Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-10-10T00:46:33.0518666Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-10-10T00:46:33.0518900Z   -e HUGGING_FACE_HUB_TOKEN \
2025-10-10T00:46:33.0519137Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-10-10T00:46:33.0519375Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-10-10T00:46:33.0519605Z   -e DASHBOARD_TAG \
2025-10-10T00:46:33.0519807Z   -e ARTIFACTS_FILE_SUFFIX \
2025-10-10T00:46:33.0520061Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-10-10T00:46:33.0520343Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-10-10T00:46:33.0520629Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-10-10T00:46:33.0520891Z   --security-opt seccomp=unconfined \
2025-10-10T00:46:33.0521130Z   --cap-add=SYS_PTRACE \
2025-10-10T00:46:33.0521340Z   --ipc=host \
2025-10-10T00:46:33.0521529Z   ${SHM_OPTS} \
2025-10-10T00:46:33.0521708Z   --tty \
2025-10-10T00:46:33.0521884Z   --detach \
2025-10-10T00:46:33.0522081Z   --name="${container_name}" \
2025-10-10T00:46:33.0522304Z   ${JENKINS_USER} \
2025-10-10T00:46:33.0522559Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-10-10T00:46:33.0522830Z   -w /var/lib/jenkins/workspace \
2025-10-10T00:46:33.0523054Z   "${DOCKER_IMAGE}" \
2025-10-10T00:46:33.0523254Z   ${DOCKER_SHELL_CMD}
2025-10-10T00:46:33.0523445Z )
2025-10-10T00:46:33.0523678Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-10-10T00:46:33.0523949Z 
2025-10-10T00:46:33.0524145Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-10-10T00:46:33.0524532Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-10-10T00:46:33.0524859Z fi
2025-10-10T00:46:33.0525017Z 
2025-10-10T00:46:33.0525342Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-10-10T00:46:33.0530250Z shell: /usr/bin/bash -e {0}
2025-10-10T00:46:33.0530462Z env:
2025-10-10T00:46:33.0530637Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:33.0530888Z   BUILD_ENVIRONMENT: linux-jammy-py3.10-gcc11-build
2025-10-10T00:46:33.0531144Z   PR_NUMBER: 
2025-10-10T00:46:33.0531335Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-10-10T00:46:33.0531558Z   GITHUB_WORKFLOW: inductor
2025-10-10T00:46:33.0531755Z   GITHUB_JOB: test
2025-10-10T00:46:33.0531954Z   GITHUB_RUN_ID: 18392306145
2025-10-10T00:46:33.0532165Z   GITHUB_RUN_NUMBER: 158985
2025-10-10T00:46:33.0532364Z   GITHUB_RUN_ATTEMPT: 1
2025-10-10T00:46:33.0532562Z   JOB_ID: 52406535392
2025-10-10T00:46:33.0532902Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:33.0533513Z   BRANCH: main
2025-10-10T00:46:33.0533710Z   SHA1: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:33.0533980Z   BASE_SHA: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:33.0534245Z   TEST_CONFIG: dynamic_cpu_inductor_torchbench
2025-10-10T00:46:33.0534482Z   SHARD_NUMBER: 1
2025-10-10T00:46:33.0534741Z   NUM_TEST_SHARDS: 2
2025-10-10T00:46:33.0534922Z   EXTRA_FLAGS: 
2025-10-10T00:46:33.0535178Z   OP_BENCHMARK_TESTS: 
2025-10-10T00:46:33.0535370Z   REENABLED_ISSUES: 
2025-10-10T00:46:33.0535551Z   CONTINUE_THROUGH_ERROR: True
2025-10-10T00:46:33.0535758Z   VERBOSE_TEST_LOGS: False
2025-10-10T00:46:33.0535955Z   TEST_SHOWLOCALS: False
2025-10-10T00:46:33.0536149Z   NO_TEST_TIMEOUT: False
2025-10-10T00:46:33.0536324Z   NO_TD: False
2025-10-10T00:46:33.0536497Z   TD_DISTRIBUTED: False
2025-10-10T00:46:33.0536733Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-10-10T00:46:33.0536990Z   SCCACHE_REGION: us-east-1
2025-10-10T00:46:33.0537175Z   SHM_SIZE: 1g
2025-10-10T00:46:33.0537727Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:46:33.0538301Z   XLA_CUDA: 
2025-10-10T00:46:33.0538560Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:46:33.0538879Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-10-10T00:46:33.0539111Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-10-10T00:46:33.0539325Z   DASHBOARD_TAG: 
2025-10-10T00:46:33.0539717Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-10-10T00:46:33.0540018Z   HUGGING_FACE_HUB_TOKEN: ***
2025-10-10T00:46:33.0540316Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-10-10T00:46:33.0540678Z   ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392
2025-10-10T00:46:33.0541028Z ##[endgroup]
2025-10-10T00:46:33.0564379Z + [[ dynamic_cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]]
2025-10-10T00:46:33.0564734Z + [[ linux-jammy-py3.10-gcc11-build == *onnx* ]]
2025-10-10T00:46:33.0564998Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-10-10T00:46:33.0566556Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-10-10T00:46:33.1130651Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 '
2025-10-10T00:46:33.1130988Z + TOTAL_MEMORY_WITH_SWAP=125
2025-10-10T00:46:33.1131292Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-10-10T00:46:33.1131574Z + SHM_OPTS=--shm-size=1g
2025-10-10T00:46:33.1131789Z + JENKINS_USER='--user jenkins'
2025-10-10T00:46:33.1131997Z + DOCKER_SHELL_CMD=
2025-10-10T00:46:33.1142470Z +++ nproc --ignore=2
2025-10-10T00:46:33.1254685Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=30 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_18392306145 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:46:44.6022324Z + container_name=56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T00:46:44.6026735Z + echo DOCKER_CONTAINER_ID=56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T00:46:44.6027196Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-10-10T00:46:44.6030555Z ++ echo dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl
2025-10-10T00:46:44.6031666Z + docker exec -t 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8 sh -c 'python3 -m pip install dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-10-10T00:46:45.0750027Z Processing ./dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+git344e636)
2025-10-10T00:46:45.3000868Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.18.0)
2025-10-10T00:46:45.3001952Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (4.15.0)
2025-10-10T00:46:45.3002817Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.13.3)
2025-10-10T00:46:45.3008611Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (2.8.8)
2025-10-10T00:46:45.3009462Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.1.6)
2025-10-10T00:46:45.3010287Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (2025.9.0)
2025-10-10T00:46:45.3025103Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.3.0)
2025-10-10T00:46:45.3334252Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.22.4)
2025-10-10T00:46:45.3347124Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.3.0)
2025-10-10T00:46:45.3397109Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.0.3)
2025-10-10T00:46:46.1316911Z Installing collected packages: torch
2025-10-10T00:46:54.0085337Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2025-10-10T00:46:54.0089217Z dall-e 0.1 requires torchvision, which is not installed.
2025-10-10T00:46:54.0089595Z effdet 0.4.1 requires torchvision, which is not installed.
2025-10-10T00:46:54.0089941Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-10-10T00:46:54.0090585Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-10-10T00:46:54.0091136Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-10-10T00:46:54.0091826Z timm 1.0.14 requires torchvision, which is not installed.
2025-10-10T00:46:54.0092203Z Successfully installed torch-2.10.0a0+git344e636
2025-10-10T00:46:54.1198951Z + export TERM=vt100
2025-10-10T00:46:54.1199206Z + TERM=vt100
2025-10-10T00:46:54.1199728Z ++ dirname .ci/pytorch/test.sh
2025-10-10T00:46:54.1209232Z + source .ci/pytorch/common.sh
2025-10-10T00:46:54.1210926Z +++ dirname .ci/pytorch/common.sh
2025-10-10T00:46:54.1218975Z ++ source .ci/pytorch/common_utils.sh
2025-10-10T00:46:54.1219307Z +++ declare -f -t trap_add
2025-10-10T00:46:54.1228709Z ++ set -ex -o pipefail
2025-10-10T00:46:54.1229039Z ++ [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:46:54.1229303Z ++ BUILD_TEST_LIBTORCH=0
2025-10-10T00:46:54.1229512Z ++ dirname .ci/pytorch/test.sh
2025-10-10T00:46:54.1242639Z + source .ci/pytorch/common-build.sh
2025-10-10T00:46:54.1243433Z ++ [[ linux-jammy-py3.10-gcc11-build != *win-* ]]
2025-10-10T00:46:54.1243731Z ++++ dirname .ci/pytorch/common-build.sh
2025-10-10T00:46:54.1253591Z +++ cd .ci/pytorch
2025-10-10T00:46:54.1254135Z +++ pwd -P
2025-10-10T00:46:54.1266217Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-10-10T00:46:54.1268482Z ++ [[ linux-jammy-py3.10-gcc11-build == *-pch* ]]
2025-10-10T00:46:54.1268904Z ++ which sccache
2025-10-10T00:46:54.1281805Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-10-10T00:46:54.1282107Z ++ sccache --stop-server
2025-10-10T00:46:54.1318208Z ++ true
2025-10-10T00:46:54.1318496Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-10-10T00:46:54.1328736Z ++ trap_add sccache_epilogue EXIT
2025-10-10T00:46:54.1329066Z ++ trap_add_cmd=sccache_epilogue
2025-10-10T00:46:54.1329288Z ++ shift
2025-10-10T00:46:54.1329460Z ++ for trap_add_name in "$@"
2025-10-10T00:46:54.1333144Z ++++ trap -p EXIT
2025-10-10T00:46:54.1340714Z +++ eval 'extract_trap_cmd '
2025-10-10T00:46:54.1341265Z ++++ extract_trap_cmd
2025-10-10T00:46:54.1341545Z ++++ printf '%s\n' ''
2025-10-10T00:46:54.1346663Z +++ printf '%s\n' sccache_epilogue
2025-10-10T00:46:54.1346942Z ++ trap -- '
2025-10-10T00:46:54.1347121Z sccache_epilogue' EXIT
2025-10-10T00:46:54.1347322Z ++ [[ -n 1 ]]
2025-10-10T00:46:54.1347627Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-10-10T00:46:54.1348036Z Skipping sccache server initialization, setting environment variables
2025-10-10T00:46:54.1348335Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:46:54.1348538Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:46:54.1348787Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:46:54.1349086Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:46:54.1359192Z ++ export RUST_LOG=sccache::server=error
2025-10-10T00:46:54.1359482Z ++ RUST_LOG=sccache::server=error
2025-10-10T00:46:54.1359711Z ++ sccache --zero-stats
2025-10-10T00:46:54.2318615Z Statistics zeroed.
2025-10-10T00:46:54.2319117Z ++ which ccache
2025-10-10T00:46:54.2346871Z + [[ linux-jammy-py3.10-gcc11-build != *rocm* ]]
2025-10-10T00:46:54.2351110Z + [[ linux-jammy-py3.10-gcc11-build != *s390x* ]]
2025-10-10T00:46:54.2351446Z + [[ -d /var/lib/jenkins/workspace ]]
2025-10-10T00:46:54.2351687Z ++ stat -c %u /var/lib/jenkins/workspace
2025-10-10T00:46:54.2362938Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-10-10T00:46:54.2363637Z + trap_add cleanup_workspace EXIT
2025-10-10T00:46:54.2363942Z + trap_add_cmd=cleanup_workspace
2025-10-10T00:46:54.2364149Z + shift
2025-10-10T00:46:54.2364321Z + for trap_add_name in "$@"
2025-10-10T00:46:54.2371286Z +++ trap -p EXIT
2025-10-10T00:46:54.2374793Z ++ eval 'extract_trap_cmd trap -- '\''
2025-10-10T00:46:54.2375070Z sccache_epilogue'\'' EXIT'
2025-10-10T00:46:54.2375304Z +++ extract_trap_cmd trap -- '
2025-10-10T00:46:54.2375518Z sccache_epilogue' EXIT
2025-10-10T00:46:54.2375714Z +++ printf '%s\n' '
2025-10-10T00:46:54.2375888Z sccache_epilogue'
2025-10-10T00:46:54.2376089Z ++ printf '%s\n' cleanup_workspace
2025-10-10T00:46:54.2377479Z + trap -- '
2025-10-10T00:46:54.2377770Z sccache_epilogue
2025-10-10T00:46:54.2377969Z cleanup_workspace' EXIT
2025-10-10T00:46:54.2378215Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-10-10T00:46:54.6927770Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-10-10T00:46:54.6948264Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:46:54.6948603Z + echo 'Environment variables:'
2025-10-10T00:46:54.6948823Z Environment variables:
2025-10-10T00:46:54.6949001Z + env
2025-10-10T00:46:54.6960443Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:46:54.6965948Z CONTINUE_THROUGH_ERROR=True
2025-10-10T00:46:54.6967720Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-10-10T00:46:54.6968763Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-10-10T00:46:54.6969066Z HOSTNAME=56c2cc13e7e7
2025-10-10T00:46:54.6969473Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_7e450cfd-c888-41dc-8049-b286260499fd
2025-10-10T00:46:54.6970216Z GITHUB_ACTION=__run_2
2025-10-10T00:46:54.6970424Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-10-10T00:46:54.6970778Z GITHUB_RUN_NUMBER=158985
2025-10-10T00:46:54.6970995Z TEST_CONFIG=dynamic_cpu_inductor_torchbench
2025-10-10T00:46:54.6971235Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-10-10T00:46:54.6971464Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-10-10T00:46:54.6971684Z SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:46:54.6972031Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-10-10T00:46:54.6972261Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-10-10T00:46:54.6972480Z GITHUB_REF_TYPE=branch
2025-10-10T00:46:54.6972686Z BASE_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:54.6972917Z XLA_CUDA=
2025-10-10T00:46:54.6973087Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-10-10T00:46:54.6973571Z HUGGING_FACE_HUB_TOKEN=***
2025-10-10T00:46:54.6974036Z ***
2025-10-10T00:46:54.6974201Z GITHUB_REPOSITORY_ID=65600975
2025-10-10T00:46:54.6974408Z GITHUB_ACTIONS=true
2025-10-10T00:46:54.6974640Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:46:54.6974898Z SHA1=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:54.6975157Z GITHUB_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:54.6975509Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-10-10T00:46:54.6975830Z UCC_HOME=/usr
2025-10-10T00:46:54.6976004Z VERBOSE_TEST_LOGS=False
2025-10-10T00:46:54.6976191Z GITHUB_REF=refs/heads/main
2025-10-10T00:46:54.6976382Z SHARD_NUMBER=1
2025-10-10T00:46:54.6976556Z GITHUB_REF_PROTECTED=true
2025-10-10T00:46:54.6976739Z HOME=/var/lib/jenkins
2025-10-10T00:46:54.6976950Z GITHUB_API_URL=https://api.github.com
2025-10-10T00:46:54.6977333Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-10-10T00:46:54.6977543Z UCX_COMMIT=
2025-10-10T00:46:54.6977696Z USE_SYSTEM_NCCL=1
2025-10-10T00:46:54.6977869Z NUM_TEST_SHARDS=2
2025-10-10T00:46:54.6978036Z UCX_HOME=/usr
2025-10-10T00:46:54.6978426Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_7e450cfd-c888-41dc-8049-b286260499fd
2025-10-10T00:46:54.6978972Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:54.6979503Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_7e450cfd-c888-41dc-8049-b286260499fd
2025-10-10T00:46:54.6980026Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-10-10T00:46:54.6980352Z GITHUB_EVENT_NAME=push
2025-10-10T00:46:54.6980533Z DASHBOARD_TAG=
2025-10-10T00:46:54.6980697Z GITHUB_RUN_ID=18392306145
2025-10-10T00:46:54.6980884Z INSTALLED_OPENBLAS=
2025-10-10T00:46:54.6981296Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_7e450cfd-c888-41dc-8049-b286260499fd
2025-10-10T00:46:54.6981733Z GITHUB_ACTOR=pytorchmergebot
2025-10-10T00:46:54.6981924Z PR_NUMBER=
2025-10-10T00:46:54.6982078Z DESIRED_CUDA=
2025-10-10T00:46:54.6982242Z GITHUB_RUN_ATTEMPT=1
2025-10-10T00:46:54.6982434Z ANACONDA_PYTHON_VERSION=3.10
2025-10-10T00:46:54.6982668Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-10-10T00:46:54.6982909Z TERM=vt100
2025-10-10T00:46:54.6983068Z INSTALLED_VISION=yes
2025-10-10T00:46:54.6983239Z BRANCH=main
2025-10-10T00:46:54.6983396Z SCCACHE_REGION=us-east-1
2025-10-10T00:46:54.6983597Z OPENSSL_ROOT_DIR=/opt/openssl
2025-10-10T00:46:54.6983798Z CUDA_PATH=/usr/local/cuda
2025-10-10T00:46:54.6984147Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-10-10T00:46:54.6984525Z GITHUB_SERVER_URL=https://github.com
2025-10-10T00:46:54.6984743Z UCC_COMMIT=
2025-10-10T00:46:54.6984901Z REENABLED_ISSUES=
2025-10-10T00:46:54.6985067Z DOCS=yes
2025-10-10T00:46:54.6985211Z SHLVL=1
2025-10-10T00:46:54.6985363Z MAX_JOBS=30
2025-10-10T00:46:54.6985523Z GITHUB_ACTOR_ID=97764156
2025-10-10T00:46:54.6985765Z GITHUB_WORKFLOW_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:54.6986019Z GITHUB_REF_NAME=main
2025-10-10T00:46:54.6986359Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:46:54.6986733Z GITHUB_JOB=test
2025-10-10T00:46:54.6986920Z NO_TEST_TIMEOUT=False
2025-10-10T00:46:54.6987099Z TD_DISTRIBUTED=False
2025-10-10T00:46:54.6987304Z GITHUB_REPOSITORY=pytorch/pytorch
2025-10-10T00:46:54.6987526Z GITHUB_RETENTION_DAYS=90
2025-10-10T00:46:54.6987725Z OPENSSL_DIR=/opt/openssl
2025-10-10T00:46:54.6987918Z GITHUB_ACTION_REPOSITORY=
2025-10-10T00:46:54.6988440Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:46:54.6988952Z GITHUB_BASE_REF=
2025-10-10T00:46:54.6989124Z INSTALLED_ACL=
2025-10-10T00:46:54.6989446Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392
2025-10-10T00:46:54.6989790Z CI=true
2025-10-10T00:46:54.6989960Z GITHUB_REPOSITORY_OWNER=pytorch
2025-10-10T00:46:54.6990364Z RUST_LOG=sccache::server=error
2025-10-10T00:46:54.6990561Z JOB_ID=52406535392
2025-10-10T00:46:54.6990727Z GITHUB_HEAD_REF=
2025-10-10T00:46:54.6990898Z GITHUB_ACTION_REF=
2025-10-10T00:46:54.6991110Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-10-10T00:46:54.6991342Z TEST_SHOWLOCALS=False
2025-10-10T00:46:54.6991520Z GITHUB_WORKFLOW=inductor
2025-10-10T00:46:54.6991709Z DEBIAN_FRONTEND=noninteractive
2025-10-10T00:46:54.6992107Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_7e450cfd-c888-41dc-8049-b286260499fd
2025-10-10T00:46:54.6992493Z NO_TD=False
2025-10-10T00:46:54.6992662Z SKIP_SCCACHE_INITIALIZATION=1
2025-10-10T00:46:54.6992872Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-10-10T00:46:54.6993080Z _=/usr/bin/env
2025-10-10T00:46:54.6993305Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-10-10T00:46:54.7206411Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-10-10T00:46:54.7208031Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-10-10T00:46:54.7208447Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-10-10T00:46:54.7208859Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-10-10T00:46:54.7209172Z + BUILD_DIR=build
2025-10-10T00:46:54.7209371Z + BUILD_RENAMED_DIR=build_renamed
2025-10-10T00:46:54.7209593Z + BUILD_BIN_DIR=build/bin
2025-10-10T00:46:54.7209789Z + SHARD_NUMBER=1
2025-10-10T00:46:54.7209960Z + NUM_TEST_SHARDS=2
2025-10-10T00:46:54.7210164Z + export TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:46:54.7210397Z + TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:46:54.7210605Z + export VALGRIND=ON
2025-10-10T00:46:54.7210820Z + VALGRIND=ON
2025-10-10T00:46:54.7211052Z + [[ linux-jammy-py3.10-gcc11-build == *clang9* ]]
2025-10-10T00:46:54.7211338Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:46:54.7211571Z + detect_cuda_arch
2025-10-10T00:46:54.7211768Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:46:54.7212044Z + [[ linux-jammy-py3.10-gcc11-build == *s390x* ]]
2025-10-10T00:46:54.7212277Z + [[ 0 == \1 ]]
2025-10-10T00:46:54.7212445Z + [[ True == \1 ]]
2025-10-10T00:46:54.7212636Z + [[ linux-jammy-py3.10-gcc11-build != *bazel* ]]
2025-10-10T00:46:54.7212892Z ++ realpath build/custom_test_artifacts
2025-10-10T00:46:54.7223822Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-10-10T00:46:54.7224222Z + [[ -n '' ]]
2025-10-10T00:46:54.7224418Z + echo 'Environment variables'
2025-10-10T00:46:54.7224802Z Environment variables
2025-10-10T00:46:54.7224991Z + env
2025-10-10T00:46:54.7240523Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:46:54.7240934Z CONTINUE_THROUGH_ERROR=True
2025-10-10T00:46:54.7241200Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-10-10T00:46:54.7241710Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-10-10T00:46:54.7241944Z HOSTNAME=56c2cc13e7e7
2025-10-10T00:46:54.7242759Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_7e450cfd-c888-41dc-8049-b286260499fd
2025-10-10T00:46:54.7243340Z GITHUB_ACTION=__run_2
2025-10-10T00:46:54.7243541Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-10-10T00:46:54.7243756Z GITHUB_RUN_NUMBER=158985
2025-10-10T00:46:54.7243980Z TEST_CONFIG=dynamic_cpu_inductor_torchbench
2025-10-10T00:46:54.7244225Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-10-10T00:46:54.7244466Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-10-10T00:46:54.7244689Z SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:46:54.7244978Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-10-10T00:46:54.7245204Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-10-10T00:46:54.7245430Z GITHUB_REF_TYPE=branch
2025-10-10T00:46:54.7245639Z BASE_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:54.7245891Z XLA_CUDA=
2025-10-10T00:46:54.7246085Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-10-10T00:46:54.7246637Z HUGGING_FACE_HUB_TOKEN=***
2025-10-10T00:46:54.7246932Z ***
2025-10-10T00:46:54.7247089Z GITHUB_REPOSITORY_ID=65600975
2025-10-10T00:46:54.7247300Z GITHUB_ACTIONS=true
2025-10-10T00:46:54.7247524Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:46:54.7247801Z SHA1=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:54.7248056Z GITHUB_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:54.7248412Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-10-10T00:46:54.7248732Z UCC_HOME=/usr
2025-10-10T00:46:54.7248908Z TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:46:54.7249099Z VERBOSE_TEST_LOGS=False
2025-10-10T00:46:54.7249288Z GITHUB_REF=refs/heads/main
2025-10-10T00:46:54.7249478Z SHARD_NUMBER=1
2025-10-10T00:46:54.7249649Z GITHUB_REF_PROTECTED=true
2025-10-10T00:46:54.7249833Z HOME=/var/lib/jenkins
2025-10-10T00:46:54.7250042Z GITHUB_API_URL=https://api.github.com
2025-10-10T00:46:54.7250279Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-10-10T00:46:54.7250483Z UCX_COMMIT=
2025-10-10T00:46:54.7250635Z USE_SYSTEM_NCCL=1
2025-10-10T00:46:54.7250808Z NUM_TEST_SHARDS=2
2025-10-10T00:46:54.7250977Z UCX_HOME=/usr
2025-10-10T00:46:54.7251362Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_7e450cfd-c888-41dc-8049-b286260499fd
2025-10-10T00:46:54.7251910Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:54.7252439Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_7e450cfd-c888-41dc-8049-b286260499fd
2025-10-10T00:46:54.7252954Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-10-10T00:46:54.7253416Z GITHUB_EVENT_NAME=push
2025-10-10T00:46:54.7253611Z DASHBOARD_TAG=
2025-10-10T00:46:54.7253779Z GITHUB_RUN_ID=18392306145
2025-10-10T00:46:54.7253969Z INSTALLED_OPENBLAS=
2025-10-10T00:46:54.7254371Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_7e450cfd-c888-41dc-8049-b286260499fd
2025-10-10T00:46:54.7254821Z GITHUB_ACTOR=pytorchmergebot
2025-10-10T00:46:54.7255019Z PR_NUMBER=
2025-10-10T00:46:54.7255178Z DESIRED_CUDA=
2025-10-10T00:46:54.7255346Z GITHUB_RUN_ATTEMPT=1
2025-10-10T00:46:54.7255525Z VALGRIND=ON
2025-10-10T00:46:54.7255691Z ANACONDA_PYTHON_VERSION=3.10
2025-10-10T00:46:54.7255931Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-10-10T00:46:54.7256184Z TERM=vt100
2025-10-10T00:46:54.7256334Z INSTALLED_VISION=yes
2025-10-10T00:46:54.7256504Z BRANCH=main
2025-10-10T00:46:54.7256668Z SCCACHE_REGION=us-east-1
2025-10-10T00:46:54.7256865Z OPENSSL_ROOT_DIR=/opt/openssl
2025-10-10T00:46:54.7257059Z CUDA_PATH=/usr/local/cuda
2025-10-10T00:46:54.7257414Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-10-10T00:46:54.7257807Z GITHUB_SERVER_URL=https://github.com
2025-10-10T00:46:54.7258019Z UCC_COMMIT=
2025-10-10T00:46:54.7258166Z REENABLED_ISSUES=
2025-10-10T00:46:54.7258331Z DOCS=yes
2025-10-10T00:46:54.7258482Z SHLVL=1
2025-10-10T00:46:54.7258630Z MAX_JOBS=30
2025-10-10T00:46:54.7258865Z GITHUB_ACTOR_ID=97764156
2025-10-10T00:46:54.7259117Z GITHUB_WORKFLOW_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:54.7259472Z GITHUB_REF_NAME=main
2025-10-10T00:46:54.7259742Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:46:54.7260079Z GITHUB_JOB=test
2025-10-10T00:46:54.7260246Z NO_TEST_TIMEOUT=False
2025-10-10T00:46:54.7260422Z TD_DISTRIBUTED=False
2025-10-10T00:46:54.7260609Z GITHUB_REPOSITORY=pytorch/pytorch
2025-10-10T00:46:54.7260810Z GITHUB_RETENTION_DAYS=90
2025-10-10T00:46:54.7260997Z OPENSSL_DIR=/opt/openssl
2025-10-10T00:46:54.7261183Z GITHUB_ACTION_REPOSITORY=
2025-10-10T00:46:54.7261682Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:46:54.7262166Z GITHUB_BASE_REF=
2025-10-10T00:46:54.7262332Z INSTALLED_ACL=
2025-10-10T00:46:54.7262638Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392
2025-10-10T00:46:54.7262969Z CI=true
2025-10-10T00:46:54.7263122Z GITHUB_REPOSITORY_OWNER=pytorch
2025-10-10T00:46:54.7263381Z RUST_LOG=sccache::server=error
2025-10-10T00:46:54.7263568Z JOB_ID=52406535392
2025-10-10T00:46:54.7263729Z GITHUB_HEAD_REF=
2025-10-10T00:46:54.7263884Z GITHUB_ACTION_REF=
2025-10-10T00:46:54.7264089Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-10-10T00:46:54.7264328Z TEST_SHOWLOCALS=False
2025-10-10T00:46:54.7264508Z GITHUB_WORKFLOW=inductor
2025-10-10T00:46:54.7264689Z DEBIAN_FRONTEND=noninteractive
2025-10-10T00:46:54.7265092Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_7e450cfd-c888-41dc-8049-b286260499fd
2025-10-10T00:46:54.7265490Z NO_TD=False
2025-10-10T00:46:54.7265657Z SKIP_SCCACHE_INITIALIZATION=1
2025-10-10T00:46:54.7265861Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-10-10T00:46:54.7266077Z _=/usr/bin/env
2025-10-10T00:46:54.7266261Z + echo 'Testing pytorch'
2025-10-10T00:46:54.7266438Z Testing pytorch
2025-10-10T00:46:54.7266615Z + export LANG=C.UTF-8
2025-10-10T00:46:54.7266779Z + LANG=C.UTF-8
2025-10-10T00:46:54.7266938Z + PR_NUMBER=
2025-10-10T00:46:54.7267140Z + [[ dynamic_cpu_inductor_torchbench == \d\e\f\a\u\l\t ]]
2025-10-10T00:46:54.7267439Z + [[ dynamic_cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-10-10T00:46:54.7267714Z + [[ dynamic_cpu_inductor_torchbench == \s\l\o\w ]]
2025-10-10T00:46:54.7267996Z + [[ linux-jammy-py3.10-gcc11-build == *slow-gradcheck* ]]
2025-10-10T00:46:54.7268273Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:46:54.7268525Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:46:54.7268764Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:46:54.7269022Z + [[ dynamic_cpu_inductor_torchbench == *crossref* ]]
2025-10-10T00:46:54.7269279Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:46:54.7269526Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:46:54.7269776Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-10-10T00:46:54.7270019Z + pip_install ninja==1.10.2
2025-10-10T00:46:54.7270275Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-10-10T00:46:54.7270586Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-10-10T00:46:55.1488875Z Collecting ninja==1.10.2
2025-10-10T00:46:55.1647660Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-10-10T00:46:55.1757539Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-10-10T00:46:55.9675767Z Installing collected packages: ninja
2025-10-10T00:46:55.9676085Z   Attempting uninstall: ninja
2025-10-10T00:46:55.9687591Z     Found existing installation: ninja 1.11.1.4
2025-10-10T00:46:55.9706544Z     Uninstalling ninja-1.11.1.4:
2025-10-10T00:46:55.9904701Z       Successfully uninstalled ninja-1.11.1.4
2025-10-10T00:46:56.0764304Z Successfully installed ninja-1.10.2
2025-10-10T00:46:56.1893119Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:46:56.1894737Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:46:56.1895392Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-10-10T00:46:56.1895681Z + [[ linux-jammy-py3.10-gcc11-build == *asan* ]]
2025-10-10T00:46:56.1895964Z + [[ linux-jammy-py3.10-gcc11-build == *-debug* ]]
2025-10-10T00:46:56.1896245Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-10-10T00:46:56.1896639Z + echo 'We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass'
2025-10-10T00:46:56.1897092Z We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass
2025-10-10T00:46:56.1897410Z + cd test
2025-10-10T00:46:56.1897681Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-10-10T00:46:56.5166202Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:46:56.5167618Z   import pynvml  # type: ignore[import]
2025-10-10T00:46:57.4572218Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-10-10T00:46:57.4572630Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-10-10T00:46:57.4573007Z + [[ dynamic_cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-10-10T00:46:57.4573704Z + DYNAMO_BENCHMARK_FLAGS=()
2025-10-10T00:46:57.4573977Z + [[ dynamic_cpu_inductor_torchbench == *pr_time_benchmarks* ]]
2025-10-10T00:46:57.4574296Z + [[ dynamic_cpu_inductor_torchbench == *dynamo_eager* ]]
2025-10-10T00:46:57.4574614Z + [[ dynamic_cpu_inductor_torchbench == *aot_eager* ]]
2025-10-10T00:46:57.4574901Z + [[ dynamic_cpu_inductor_torchbench == *aot_inductor* ]]
2025-10-10T00:46:57.4575197Z + [[ dynamic_cpu_inductor_torchbench == *max_autotune_inductor* ]]
2025-10-10T00:46:57.4575489Z + [[ dynamic_cpu_inductor_torchbench == *inductor* ]]
2025-10-10T00:46:57.4575737Z + [[ dynamic_cpu_inductor_torchbench != *perf* ]]
2025-10-10T00:46:57.4576009Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-10-10T00:46:57.4576254Z + [[ dynamic_cpu_inductor_torchbench == *dynamic* ]]
2025-10-10T00:46:57.4576568Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only)
2025-10-10T00:46:57.4576863Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]]
2025-10-10T00:46:57.4577103Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-10-10T00:46:57.4873987Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-10-10T00:46:57.4874372Z + [[ linux-jammy-py3.10-gcc11-build == *-bazel-* ]]
2025-10-10T00:46:57.4874618Z + cd test
2025-10-10T00:46:57.4874884Z + python -c 'import torch; print(torch.__config__.show())'
2025-10-10T00:46:57.8195939Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:46:57.8197318Z   import pynvml  # type: ignore[import]
2025-10-10T00:46:58.4943336Z PyTorch built with:
2025-10-10T00:46:58.4943614Z   - GCC 11.4
2025-10-10T00:46:58.4943799Z   - C++ Version: 201703
2025-10-10T00:46:58.4944304Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-10-10T00:46:58.4944807Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-10-10T00:46:58.4945121Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-10-10T00:46:58.4945379Z   - LAPACK is enabled (usually provided by MKL)
2025-10-10T00:46:58.4946004Z   - NNPACK is enabled
2025-10-10T00:46:58.4946212Z   - CPU capability usage: AVX512
2025-10-10T00:46:58.4949393Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-10-10T00:46:58.4952438Z 
2025-10-10T00:46:58.7767671Z + cd test
2025-10-10T00:46:58.7768034Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-10-10T00:46:59.1029407Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:46:59.1030809Z   import pynvml  # type: ignore[import]
2025-10-10T00:46:59.7587233Z ATen/Parallel:
2025-10-10T00:46:59.7587564Z 	at::get_num_threads() : 16
2025-10-10T00:46:59.7587805Z 	at::get_num_interop_threads() : 16
2025-10-10T00:46:59.7588076Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-10-10T00:46:59.7588293Z 	omp_get_max_threads() : 16
2025-10-10T00:46:59.7588703Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-10-10T00:46:59.7589102Z 	mkl_get_max_threads() : 16
2025-10-10T00:46:59.7589386Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-10-10T00:46:59.7589707Z std::thread::hardware_concurrency() : 32
2025-10-10T00:46:59.7589942Z Environment variables:
2025-10-10T00:46:59.7590374Z 	OMP_NUM_THREADS : [not set]
2025-10-10T00:46:59.7590580Z 	MKL_NUM_THREADS : [not set]
2025-10-10T00:46:59.7590788Z ATen parallel backend: OpenMP
2025-10-10T00:46:59.7590919Z 
2025-10-10T00:47:00.0264806Z + [[ dynamic_cpu_inductor_torchbench == *numpy_2* ]]
2025-10-10T00:47:00.0265385Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-10-10T00:47:00.0265767Z + [[ dynamic_cpu_inductor_torchbench == *backward* ]]
2025-10-10T00:47:00.0266213Z + [[ dynamic_cpu_inductor_torchbench == *xla* ]]
2025-10-10T00:47:00.0267236Z + [[ dynamic_cpu_inductor_torchbench == *vllm* ]]
2025-10-10T00:47:00.0267630Z + [[ dynamic_cpu_inductor_torchbench == *executorch* ]]
2025-10-10T00:47:00.0267948Z + [[ dynamic_cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-10-10T00:47:00.0268284Z + [[ dynamic_cpu_inductor_torchbench == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-10-10T00:47:00.0268606Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-10-10T00:47:00.0268887Z + [[ dynamic_cpu_inductor_torchbench == distributed ]]
2025-10-10T00:47:00.0269189Z + [[ dynamic_cpu_inductor_torchbench == *operator_benchmark* ]]
2025-10-10T00:47:00.0269536Z + [[ dynamic_cpu_inductor_torchbench == *operator_microbenchmark* ]]
2025-10-10T00:47:00.0269889Z + [[ dynamic_cpu_inductor_torchbench == *inductor_distributed* ]]
2025-10-10T00:47:00.0270212Z + [[ dynamic_cpu_inductor_torchbench == *inductor-halide* ]]
2025-10-10T00:47:00.0270540Z + [[ dynamic_cpu_inductor_torchbench == *inductor-triton-cpu* ]]
2025-10-10T00:47:00.0271288Z + [[ dynamic_cpu_inductor_torchbench == *inductor-micro-benchmark* ]]
2025-10-10T00:47:00.0271748Z + [[ dynamic_cpu_inductor_torchbench == *huggingface* ]]
2025-10-10T00:47:00.0272018Z + [[ dynamic_cpu_inductor_torchbench == *timm* ]]
2025-10-10T00:47:00.0272290Z + [[ dynamic_cpu_inductor_torchbench == cachebench ]]
2025-10-10T00:47:00.0272574Z + [[ dynamic_cpu_inductor_torchbench == verify_cachebench ]]
2025-10-10T00:47:00.0272860Z + [[ dynamic_cpu_inductor_torchbench == *torchbench* ]]
2025-10-10T00:47:00.0273103Z + install_torchaudio
2025-10-10T00:47:00.0273281Z + local commit
2025-10-10T00:47:00.0273469Z ++ get_pinned_commit audio
2025-10-10T00:47:00.0273682Z ++ cat .github/ci_commit_pins/audio.txt
2025-10-10T00:47:00.0280972Z + commit=87ff22e49ed0e92576c4935ccb8c143daac4a3cd
2025-10-10T00:47:00.0281921Z + pip_build_and_install git+https://github.com/pytorch/audio.git@87ff22e49ed0e92576c4935ccb8c143daac4a3cd dist/audio
2025-10-10T00:47:00.0282697Z + local build_target=git+https://github.com/pytorch/audio.git@87ff22e49ed0e92576c4935ccb8c143daac4a3cd
2025-10-10T00:47:00.0283167Z + local wheel_dir=dist/audio
2025-10-10T00:47:00.0283394Z + local found_whl=0
2025-10-10T00:47:00.0283589Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:47:00.0283922Z + [[ -f dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl ]]
2025-10-10T00:47:00.0284243Z + found_whl=1
2025-10-10T00:47:00.0284413Z + break
2025-10-10T00:47:00.0284565Z + '[' 1 == 0 ']'
2025-10-10T00:47:00.0284747Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:47:00.0285088Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:00.0285534Z + args=('dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl')
2025-10-10T00:47:00.0285846Z + local args
2025-10-10T00:47:00.0286123Z + [[ dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-10-10T00:47:00.0286463Z + for path in "${args[@]}"
2025-10-10T00:47:00.0286791Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl'
2025-10-10T00:47:00.0287239Z Installing dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:00.0287754Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:00.3423419Z Processing ./dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:00.3478024Z Installing collected packages: torchaudio
2025-10-10T00:47:00.5135161Z Successfully installed torchaudio-2.8.0a0+87ff22e
2025-10-10T00:47:00.5611048Z + install_torchvision
2025-10-10T00:47:00.5611332Z + local orig_preload
2025-10-10T00:47:00.5611526Z + local commit
2025-10-10T00:47:00.5611715Z ++ get_pinned_commit vision
2025-10-10T00:47:00.5611942Z ++ cat .github/ci_commit_pins/vision.txt
2025-10-10T00:47:00.5645817Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-10-10T00:47:00.5649376Z + orig_preload=
2025-10-10T00:47:00.5649646Z + '[' -n '' ']'
2025-10-10T00:47:00.5649903Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:47:00.5650426Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-10-10T00:47:00.5651028Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-10-10T00:47:00.5651413Z + local wheel_dir=dist/vision
2025-10-10T00:47:00.5651620Z + local found_whl=0
2025-10-10T00:47:00.5651818Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:47:00.5652143Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]]
2025-10-10T00:47:00.5652461Z + found_whl=1
2025-10-10T00:47:00.5652629Z + break
2025-10-10T00:47:00.5652780Z + '[' 1 == 0 ']'
2025-10-10T00:47:00.5652958Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:47:00.5653685Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:00.5654165Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl')
2025-10-10T00:47:00.5654825Z + local args
2025-10-10T00:47:00.5655114Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-10-10T00:47:00.5655569Z + for path in "${args[@]}"
2025-10-10T00:47:00.5655901Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl'
2025-10-10T00:47:00.5656373Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:00.5656893Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:00.8801469Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:00.8882736Z Installing collected packages: torchvision
2025-10-10T00:47:01.2822846Z Successfully installed torchvision-0.22.0a0+966da7e
2025-10-10T00:47:01.3290366Z + '[' -n '' ']'
2025-10-10T00:47:01.3290649Z + id=0
2025-10-10T00:47:01.3290843Z + pip_install opencv-python==4.8.0.74
2025-10-10T00:47:01.3291195Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-10-10T00:47:01.3291575Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-10-10T00:47:01.7344107Z Collecting opencv-python==4.8.0.74
2025-10-10T00:47:01.7548917Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-10-10T00:47:01.7652315Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4)
2025-10-10T00:47:01.7743072Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-10-10T00:47:03.2995626Z Installing collected packages: opencv-python
2025-10-10T00:47:03.2995979Z   Attempting uninstall: opencv-python
2025-10-10T00:47:03.3007738Z     Found existing installation: opencv-python 4.11.0.86
2025-10-10T00:47:03.3061976Z     Uninstalling opencv-python-4.11.0.86:
2025-10-10T00:47:03.3872843Z       Successfully uninstalled opencv-python-4.11.0.86
2025-10-10T00:47:04.2768086Z Successfully installed opencv-python-4.8.0.74
2025-10-10T00:47:04.3972472Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-10-10T00:47:04.3972975Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-10-10T00:47:04.3973658Z + [[ dynamic_cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]]
2025-10-10T00:47:04.3973981Z + [[ dynamic_cpu_inductor_torchbench != *cpu* ]]
2025-10-10T00:47:04.3974230Z + PYTHONPATH=/torchbench
2025-10-10T00:47:04.3974441Z + test_dynamo_benchmark torchbench 0
2025-10-10T00:47:04.3974668Z ++ pwd
2025-10-10T00:47:04.3978224Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:47:04.3978728Z + local suite=torchbench
2025-10-10T00:47:04.3979005Z + shift
2025-10-10T00:47:04.3979168Z + local shard_id=0
2025-10-10T00:47:04.3979469Z + shift
2025-10-10T00:47:04.3979702Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]]
2025-10-10T00:47:04.3980154Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]]
2025-10-10T00:47:04.3980557Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]]
2025-10-10T00:47:04.3980904Z + local dt=float32
2025-10-10T00:47:04.3981124Z + [[ dynamic_cpu_inductor_torchbench == *amp* ]]
2025-10-10T00:47:04.3981391Z + [[ dynamic_cpu_inductor_torchbench == *freezing* ]]
2025-10-10T00:47:04.3981848Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32
2025-10-10T00:47:04.3982834Z ++ pwd
2025-10-10T00:47:04.3983174Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:47:04.3983525Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:47:04.4003927Z + local name=inference
2025-10-10T00:47:04.4004234Z + shift
2025-10-10T00:47:04.4004446Z + local suite=torchbench
2025-10-10T00:47:04.4005104Z + shift
2025-10-10T00:47:04.4005450Z + local shard_id=0
2025-10-10T00:47:04.4005668Z + shift
2025-10-10T00:47:04.4005833Z + partition_flags=()
2025-10-10T00:47:04.4006354Z + local partition_flags
2025-10-10T00:47:04.4006552Z + [[ -n 2 ]]
2025-10-10T00:47:04.4006835Z + [[ -n 0 ]]
2025-10-10T00:47:04.4007232Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-10-10T00:47:04.4007817Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]]
2025-10-10T00:47:04.4008210Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]]
2025-10-10T00:47:04.4008724Z + [[ dynamic_cpu_inductor_torchbench == *_avx2* ]]
2025-10-10T00:47:04.4009070Z + [[ dynamic_cpu_inductor_torchbench == *_avx512* ]]
2025-10-10T00:47:04.4010075Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cpu --inference --float32 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv
2025-10-10T00:47:04.7031812Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:47:04.7032812Z   import pynvml  # type: ignore[import]
2025-10-10T00:47:07.3277310Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:47:07.3278950Z   import pynvml  # type: ignore[import]
2025-10-10T00:47:09.5514659Z 
2025-10-10T00:47:11.1637027Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:47:11.1637470Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:47:11.1659836Z cpu  eval  BERT_pytorch                       
2025-10-10T00:47:11.6129111Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:11.8628611Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:12.1163203Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:37.7622779Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7623308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7623687Z     return mod(*inputs)
2025-10-10T00:47:37.7624075Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7624501Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7624885Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward
2025-10-10T00:47:37.7625318Z     mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1)
2025-10-10T00:47:37.7625512Z 
2025-10-10T00:47:37.7625648Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7626097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7626493Z     return mod(*inputs)
2025-10-10T00:47:37.7626875Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7627297Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7627666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward
2025-10-10T00:47:37.7628071Z     x = self.embedding(x, segment_info)
2025-10-10T00:47:37.7628481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward
2025-10-10T00:47:37.7628978Z     x = self.token(sequence) + self.position(sequence) + self.segment(segment_label)
2025-10-10T00:47:37.7629215Z 
2025-10-10T00:47:37.7629342Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7630171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7630648Z     return mod(*inputs)
2025-10-10T00:47:37.7631018Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7631424Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7631790Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7632158Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7632543Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7632953Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7633373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7633810Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7634237Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7634675Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7635136Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7635551Z     query, key, value = [
2025-10-10T00:47:37.7635950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7636458Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7636647Z 
2025-10-10T00:47:37.7636758Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7637159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7637513Z     return mod(*inputs)
2025-10-10T00:47:37.7637878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7638273Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7638640Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7639014Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7639392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7639812Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7640235Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7640682Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7641165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7641593Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7642063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7642539Z     query, key, value = [
2025-10-10T00:47:37.7642945Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7643426Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7643611Z 
2025-10-10T00:47:37.7643726Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7644118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7644472Z     return mod(*inputs)
2025-10-10T00:47:37.7644987Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7645382Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7645829Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7646223Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7647651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7648064Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7648484Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7648931Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7649365Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7649801Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7650265Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7650758Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7651248Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7651762Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7651997Z 
2025-10-10T00:47:37.7652122Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7652517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7652872Z     return mod(*inputs)
2025-10-10T00:47:37.7653525Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7653942Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7654327Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7654710Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7655111Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7655531Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7655954Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7656392Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7656810Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7657249Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7657702Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7658198Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7658670Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7659164Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7659402Z 
2025-10-10T00:47:37.7659518Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7659909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7660270Z     return mod(*inputs)
2025-10-10T00:47:37.7660633Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7661032Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7661395Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7661779Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7662176Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7662581Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7663047Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7663527Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7663971Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7664405Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7664853Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7665321Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7665787Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7666279Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7666502Z 
2025-10-10T00:47:37.7666629Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7667021Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7667378Z     return mod(*inputs)
2025-10-10T00:47:37.7667747Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7668145Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7668513Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7668881Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7669276Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7669688Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7670104Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7670549Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7670967Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7671407Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7671862Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7672276Z     query, key, value = [
2025-10-10T00:47:37.7672675Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7673145Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7673330Z 
2025-10-10T00:47:37.7673446Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7673852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7674206Z     return mod(*inputs)
2025-10-10T00:47:37.7674567Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7674973Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7675334Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7675710Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7676098Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7676507Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7676932Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7677376Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7677800Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7678299Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7678754Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7679300Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7679763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.7680187Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.7680344Z 
2025-10-10T00:47:37.7680464Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7680857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7681209Z     return mod(*inputs)
2025-10-10T00:47:37.7681570Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7681959Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7682317Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7682694Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7683080Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7683485Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7683887Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7684334Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7684758Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7685188Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7685645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7686115Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7686579Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.7687004Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.7687162Z 
2025-10-10T00:47:37.7687296Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7687687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7688038Z     return mod(*inputs)
2025-10-10T00:47:37.7688402Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7688800Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7689168Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7689532Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7689926Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7690694Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7691117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7691554Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7691973Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7692401Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7692858Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.7693416Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.7693627Z 
2025-10-10T00:47:37.7693860Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7694262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7694667Z     return mod(*inputs)
2025-10-10T00:47:37.7695042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7695427Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7695778Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7696154Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7696537Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7696944Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7697354Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7697779Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7698199Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7698631Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7699077Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.7699492Z     return self.output_linear(x)
2025-10-10T00:47:37.7699628Z 
2025-10-10T00:47:37.7699742Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7700131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7700482Z     return mod(*inputs)
2025-10-10T00:47:37.7700847Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7701233Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7701604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7701979Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7702368Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7702778Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7703182Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7703614Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7704058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7704513Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7704698Z 
2025-10-10T00:47:37.7704820Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7705203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7705558Z     return mod(*inputs)
2025-10-10T00:47:37.7705922Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7706312Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7706666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7707055Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7707443Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7707853Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7708275Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7708770Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7709278Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7709771Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7709951Z 
2025-10-10T00:47:37.7710072Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7710444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7710788Z     return mod(*inputs)
2025-10-10T00:47:37.7711140Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7711525Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7711886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7712246Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7712622Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7713022Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7713429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7713902Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7714328Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7714769Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7714953Z 
2025-10-10T00:47:37.7715063Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7715460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7715813Z     return mod(*inputs)
2025-10-10T00:47:37.7716187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7716573Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7716931Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7717302Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7717674Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7718071Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7718470Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7718904Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7719305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7719729Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7720175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7720577Z     query, key, value = [
2025-10-10T00:47:37.7720975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7721433Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7721614Z 
2025-10-10T00:47:37.7721726Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7722108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7722450Z     return mod(*inputs)
2025-10-10T00:47:37.7722819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7723216Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7723578Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7723993Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7724380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7724823Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7725238Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7725667Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7726068Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7726488Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7726944Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7727352Z     query, key, value = [
2025-10-10T00:47:37.7727750Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7728217Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7728406Z 
2025-10-10T00:47:37.7728521Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7728908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7729261Z     return mod(*inputs)
2025-10-10T00:47:37.7729620Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7730017Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7730380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7730752Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7731129Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7731540Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7731949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7732385Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7732808Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7733311Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7733780Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7734258Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7734731Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7735231Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7735462Z 
2025-10-10T00:47:37.7735582Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7735985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7736338Z     return mod(*inputs)
2025-10-10T00:47:37.7736711Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7737115Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7737478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7737855Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7738240Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7738651Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7739062Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7739566Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7740039Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7740475Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7740928Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7741389Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7741844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7742330Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7742552Z 
2025-10-10T00:47:37.7742671Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7743059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7743400Z     return mod(*inputs)
2025-10-10T00:47:37.7743764Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7744155Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7744509Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7744867Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7745249Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7745649Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7746060Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7746496Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7746933Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7747350Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7747797Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7748263Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7748705Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7749185Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7749415Z 
2025-10-10T00:47:37.7749527Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7749911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7750258Z     return mod(*inputs)
2025-10-10T00:47:37.7750610Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7751002Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7751360Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7751726Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7752099Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7752497Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7752903Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7753329Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7753752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7754165Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7754650Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7755082Z     query, key, value = [
2025-10-10T00:47:37.7755472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7755925Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7756098Z 
2025-10-10T00:47:37.7756209Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7756585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7756926Z     return mod(*inputs)
2025-10-10T00:47:37.7757276Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7757651Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7758007Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7758366Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7758744Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7759143Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7759530Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7759930Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7760317Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7760711Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7761124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7761561Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7761986Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.7762384Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.7762537Z 
2025-10-10T00:47:37.7762655Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7763027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7763369Z     return mod(*inputs)
2025-10-10T00:47:37.7763725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7764110Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7764466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7764834Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7765215Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7765614Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7765995Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7766388Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7766775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7767163Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7767602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7768064Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7768504Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.7768965Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.7769130Z 
2025-10-10T00:47:37.7769274Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7769655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7770004Z     return mod(*inputs)
2025-10-10T00:47:37.7770361Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7770759Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7771114Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7771494Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7771873Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7772279Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7772691Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7773136Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7773670Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7774099Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7774561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.7775097Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.7775304Z 
2025-10-10T00:47:37.7775424Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7775820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7776168Z     return mod(*inputs)
2025-10-10T00:47:37.7776530Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7776917Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7777277Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7777693Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7778084Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7778490Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7778961Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7779397Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7779802Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7780224Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7780666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.7781075Z     return self.output_linear(x)
2025-10-10T00:47:37.7781209Z 
2025-10-10T00:47:37.7781326Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7781701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7782042Z     return mod(*inputs)
2025-10-10T00:47:37.7782399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7782782Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7783131Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7783507Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7783886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7784336Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7784772Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7785197Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7785627Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7786088Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7786274Z 
2025-10-10T00:47:37.7786400Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7786786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7787122Z     return mod(*inputs)
2025-10-10T00:47:37.7787476Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7787872Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7788222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7788577Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7788952Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7789343Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7789740Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7790383Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7790817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7791265Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7791454Z 
2025-10-10T00:47:37.7791572Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7791953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7792299Z     return mod(*inputs)
2025-10-10T00:47:37.7792669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7793074Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7793435Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7793800Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7794171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7794578Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7794993Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7795445Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7795883Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7796324Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7796511Z 
2025-10-10T00:47:37.7796621Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7797000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7797346Z     return mod(*inputs)
2025-10-10T00:47:37.7797696Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7798086Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7798444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7798809Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7799288Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7799734Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7800138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7800564Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7800737Z 
2025-10-10T00:47:37.7800856Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7801231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7801577Z     return mod(*inputs)
2025-10-10T00:47:37.7801939Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7802331Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7802688Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7803047Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7803426Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7803828Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7804227Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7804656Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7805060Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7805477Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7805920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7806333Z     query, key, value = [
2025-10-10T00:47:37.7806717Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7807177Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7807356Z 
2025-10-10T00:47:37.7807469Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7807849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7808188Z     return mod(*inputs)
2025-10-10T00:47:37.7808539Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7808923Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7809278Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7809654Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7810022Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7810427Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7810827Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7811255Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7811665Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7812070Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7812508Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7812913Z     query, key, value = [
2025-10-10T00:47:37.7813383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7813867Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7814048Z 
2025-10-10T00:47:37.7814216Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7814641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7814984Z     return mod(*inputs)
2025-10-10T00:47:37.7815326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7815684Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7816025Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7816368Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7816725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7817102Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7817474Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7817877Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7818271Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7818676Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7819089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7819522Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7819948Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7820400Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7820608Z 
2025-10-10T00:47:37.7820722Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7821098Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7821433Z     return mod(*inputs)
2025-10-10T00:47:37.7821791Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7822174Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7822534Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7822905Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7823289Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7823682Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7824061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7824488Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7824891Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7825284Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7825698Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7826137Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7826577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7827044Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7827259Z 
2025-10-10T00:47:37.7827364Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7827726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7828046Z     return mod(*inputs)
2025-10-10T00:47:37.7828412Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7828809Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7829153Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7829509Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7829867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7830245Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7830630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7831040Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7831440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7831850Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7832296Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7832784Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7833253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7833745Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7833968Z 
2025-10-10T00:47:37.7834082Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7834473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7834823Z     return mod(*inputs)
2025-10-10T00:47:37.7835184Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7835578Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7835937Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7836318Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7836704Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7837109Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7837513Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7837953Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7838374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7838795Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7839258Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7839675Z     query, key, value = [
2025-10-10T00:47:37.7840088Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7840561Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7840738Z 
2025-10-10T00:47:37.7840861Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7841249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7841594Z     return mod(*inputs)
2025-10-10T00:47:37.7841955Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7842351Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7842711Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7843069Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7843494Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7843939Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7844335Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7844763Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7845158Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7845551Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7845960Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7846392Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7846816Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.7847203Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.7847364Z 
2025-10-10T00:47:37.7847477Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7847855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7848197Z     return mod(*inputs)
2025-10-10T00:47:37.7848544Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7848931Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7849286Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7849659Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7850031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7850423Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7850826Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7851257Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7851667Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7852088Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7852517Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7852989Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7853543Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.7853984Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.7854142Z 
2025-10-10T00:47:37.7854258Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7854664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7855017Z     return mod(*inputs)
2025-10-10T00:47:37.7855379Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7855777Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7856109Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7856460Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7856821Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7857197Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7857574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7857975Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7858407Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7858866Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7859305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.7859769Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.7859970Z 
2025-10-10T00:47:37.7860074Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7860439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7860761Z     return mod(*inputs)
2025-10-10T00:47:37.7861096Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7861464Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7861821Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7862186Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7862564Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7862952Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7863358Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7863756Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7864145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7864546Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7864978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.7865389Z     return self.output_linear(x)
2025-10-10T00:47:37.7865529Z 
2025-10-10T00:47:37.7865638Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7866020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7866360Z     return mod(*inputs)
2025-10-10T00:47:37.7866710Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7867096Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7867447Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7867824Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7868193Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7868596Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7869001Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7869426Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7869858Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7870304Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7870492Z 
2025-10-10T00:47:37.7870602Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7870980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7871323Z     return mod(*inputs)
2025-10-10T00:47:37.7871671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7872055Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7872405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7872828Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7873241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7873634Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7874032Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7874462Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7874890Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7875336Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7875515Z 
2025-10-10T00:47:37.7875627Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7876005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7876351Z     return mod(*inputs)
2025-10-10T00:47:37.7876704Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7877085Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7877440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7877801Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7878179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7878981Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7879373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7879794Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7880228Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7880667Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7880850Z 
2025-10-10T00:47:37.7880967Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7881333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7881670Z     return mod(*inputs)
2025-10-10T00:47:37.7882022Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7882410Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7882756Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7883119Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7883498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7883896Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7884309Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7884742Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7885152Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7885581Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7886037Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7886444Z     query, key, value = [
2025-10-10T00:47:37.7886838Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7887304Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7887488Z 
2025-10-10T00:47:37.7887601Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7888026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7888418Z     return mod(*inputs)
2025-10-10T00:47:37.7888785Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7889183Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7889549Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7889944Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7890469Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7890887Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7891308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7891749Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7892181Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7892609Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7893064Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7893549Z     query, key, value = [
2025-10-10T00:47:37.7893956Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7894417Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7894603Z 
2025-10-10T00:47:37.7894719Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7895107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7895459Z     return mod(*inputs)
2025-10-10T00:47:37.7895832Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7896229Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7896595Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7896973Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7897362Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7897763Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7898180Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7898617Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7899040Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7899473Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7899920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7900403Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7900875Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7901352Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7901574Z 
2025-10-10T00:47:37.7901693Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7902069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7902414Z     return mod(*inputs)
2025-10-10T00:47:37.7902766Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7903152Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7903584Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7904013Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7904389Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7904791Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7905193Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7905609Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7906018Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7906439Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7906885Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7907360Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7907809Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7908312Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7908538Z 
2025-10-10T00:47:37.7908653Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7909040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7909383Z     return mod(*inputs)
2025-10-10T00:47:37.7909732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7910119Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7910476Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7910860Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7911226Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7911628Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7912031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7912454Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7912866Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7913286Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7913725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7914188Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7914638Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7915118Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7915341Z 
2025-10-10T00:47:37.7915455Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7915848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7916200Z     return mod(*inputs)
2025-10-10T00:47:37.7916568Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7916950Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7917302Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7917676Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7918104Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7918511Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7918951Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7919391Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7919819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7920307Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7920757Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7921163Z     query, key, value = [
2025-10-10T00:47:37.7921573Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7922050Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7922232Z 
2025-10-10T00:47:37.7922354Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7922747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7923103Z     return mod(*inputs)
2025-10-10T00:47:37.7923462Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7923858Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7924227Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7924600Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7924988Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7925399Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7925816Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7926250Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7926686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7927117Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7927570Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7928046Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7928495Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.7928923Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.7929087Z 
2025-10-10T00:47:37.7929202Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7929598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7929950Z     return mod(*inputs)
2025-10-10T00:47:37.7930310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7930705Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7931068Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7931451Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7931831Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7932245Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7932657Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7933100Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7933656Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7934081Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7934574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7935058Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7935520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.7935955Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.7936109Z 
2025-10-10T00:47:37.7936224Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7936606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7936944Z     return mod(*inputs)
2025-10-10T00:47:37.7937303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7937676Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7938033Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7938391Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7938763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7939157Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7939547Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7939968Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7940374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7940789Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7941230Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.7941701Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.7941916Z 
2025-10-10T00:47:37.7942029Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7942418Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7942768Z     return mod(*inputs)
2025-10-10T00:47:37.7943125Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7943519Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7943880Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7944253Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7944628Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7945015Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7945415Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7945836Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7946245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7946650Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7947088Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.7947490Z     return self.output_linear(x)
2025-10-10T00:47:37.7947623Z 
2025-10-10T00:47:37.7947739Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7948121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7948500Z     return mod(*inputs)
2025-10-10T00:47:37.7948852Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7949272Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7949628Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7950006Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7950374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7950775Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7951175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7951617Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7952062Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7952522Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7952722Z 
2025-10-10T00:47:37.7952835Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7953224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7953592Z     return mod(*inputs)
2025-10-10T00:47:37.7953957Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7954340Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7954701Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7955082Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7955459Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7955877Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7956290Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7956729Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7957175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7957633Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7957824Z 
2025-10-10T00:47:37.7957936Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7958327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7958678Z     return mod(*inputs)
2025-10-10T00:47:37.7959037Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7959424Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7959789Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7960162Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7960552Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7960954Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7961369Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7961804Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7962251Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.7962707Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.7962894Z 
2025-10-10T00:47:37.7963006Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7963468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7963826Z     return mod(*inputs)
2025-10-10T00:47:37.7964229Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7964628Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7964983Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7965352Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7965734Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.7966140Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.7966551Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7966971Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7967149Z 
2025-10-10T00:47:37.7967266Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7967654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7968012Z     return mod(*inputs)
2025-10-10T00:47:37.7968367Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7968760Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7969124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7969492Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7969868Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7970271Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7970679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7971114Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7971532Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7971954Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7972401Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7972811Z     query, key, value = [
2025-10-10T00:47:37.7973308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7973798Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7973976Z 
2025-10-10T00:47:37.7974090Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7974482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7974835Z     return mod(*inputs)
2025-10-10T00:47:37.7975209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7975592Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7975950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7976322Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7976705Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7977112Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7977506Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7977942Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7978355Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7978834Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7979326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.7979734Z     query, key, value = [
2025-10-10T00:47:37.7980153Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.7980630Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.7980805Z 
2025-10-10T00:47:37.7980927Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7981318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7981668Z     return mod(*inputs)
2025-10-10T00:47:37.7982029Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7982428Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7982803Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7983179Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7983562Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7983969Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7984378Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7984811Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7985242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7985669Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7986122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7986610Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7987077Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7987579Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7987816Z 
2025-10-10T00:47:37.7987932Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7988319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7988666Z     return mod(*inputs)
2025-10-10T00:47:37.7989021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7989413Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7989779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7990299Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7990684Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7991095Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7991508Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7991956Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7992383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7992818Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.7993274Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.7993758Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.7994310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.7994849Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.7995081Z 
2025-10-10T00:47:37.7995196Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.7995594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.7995947Z     return mod(*inputs)
2025-10-10T00:47:37.7996312Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.7996704Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.7997064Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.7997437Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.7997816Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.7998213Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.7998604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.7999034Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.7999442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.7999861Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8000297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8000748Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8001198Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8001687Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8001909Z 
2025-10-10T00:47:37.8002036Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8002422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8002758Z     return mod(*inputs)
2025-10-10T00:47:37.8003122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8003513Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8003875Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8004238Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8004622Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8005026Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8005442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8005877Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8006292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8006720Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8007170Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8007578Z     query, key, value = [
2025-10-10T00:47:37.8007970Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8008434Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8008620Z 
2025-10-10T00:47:37.8008732Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8009165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8009518Z     return mod(*inputs)
2025-10-10T00:47:37.8009913Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8010306Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8010671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8011081Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8011466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8011877Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8012292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8012736Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8013163Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8013766Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8014232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8014712Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8015171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8015597Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8015752Z 
2025-10-10T00:47:37.8015867Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8016255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8016604Z     return mod(*inputs)
2025-10-10T00:47:37.8016976Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8017369Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8017725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8018096Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8018479Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8018894Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8019296Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8019737Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8020156Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8020585Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8021038Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8021503Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8021963Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8022378Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8022534Z 
2025-10-10T00:47:37.8022655Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8023042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8023385Z     return mod(*inputs)
2025-10-10T00:47:37.8023746Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8024139Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8024566Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8024939Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8025359Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8025768Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8026177Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8026609Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8027027Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8027456Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8027905Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.8028390Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.8028607Z 
2025-10-10T00:47:37.8028725Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8029097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8029437Z     return mod(*inputs)
2025-10-10T00:47:37.8029787Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8030167Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8030513Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8030873Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8031245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8031639Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8032041Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8032461Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8032876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8033302Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8033738Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.8034141Z     return self.output_linear(x)
2025-10-10T00:47:37.8034273Z 
2025-10-10T00:47:37.8034381Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8034597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8034667Z     return mod(*inputs)
2025-10-10T00:47:37.8034917Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8034995Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8035219Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8035305Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8035542Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8035646Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8035888Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8036003Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8036269Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8036391Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8036395Z 
2025-10-10T00:47:37.8036574Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8036784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8036887Z     return mod(*inputs)
2025-10-10T00:47:37.8037134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8037209Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8037433Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8037511Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8037753Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8037846Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8038088Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8038209Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8038466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8038600Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8038604Z 
2025-10-10T00:47:37.8038714Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8038922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8038997Z     return mod(*inputs)
2025-10-10T00:47:37.8039242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8039323Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8039539Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8039618Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8039864Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8039958Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8040209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8040318Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8040593Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8040715Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8040718Z 
2025-10-10T00:47:37.8040825Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8041039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8041106Z     return mod(*inputs)
2025-10-10T00:47:37.8041358Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8041433Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8041658Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8041742Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8041977Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8042074Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8042321Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8042437Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8042669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8042784Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8043105Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8043208Z     query, key, value = [
2025-10-10T00:47:37.8043494Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8043609Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8043613Z 
2025-10-10T00:47:37.8043720Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8043934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8043999Z     return mod(*inputs)
2025-10-10T00:47:37.8044255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8044327Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8044558Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8044643Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8044880Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8044979Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8045228Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8045346Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8045588Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8045702Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8045970Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8046039Z     query, key, value = [
2025-10-10T00:47:37.8046323Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8046443Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8046447Z 
2025-10-10T00:47:37.8046557Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8046782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8046851Z     return mod(*inputs)
2025-10-10T00:47:37.8047115Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8047192Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8047423Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8047510Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8047755Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8047861Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8048119Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8048239Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8048477Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8048597Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8048886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8049029Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8049299Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8049509Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8049555Z 
2025-10-10T00:47:37.8049678Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8049892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8049959Z     return mod(*inputs)
2025-10-10T00:47:37.8050218Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8050293Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8050533Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8050615Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8050888Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8050991Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8051250Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8051375Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8051613Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8051728Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8052003Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8052142Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8052405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8052569Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8052573Z 
2025-10-10T00:47:37.8052693Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8052907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8052978Z     return mod(*inputs)
2025-10-10T00:47:37.8053309Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8053393Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8053628Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8053709Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8053950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8054057Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8054304Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8054433Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8054676Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8054797Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8055072Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8055210Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8055478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8055639Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8055643Z 
2025-10-10T00:47:37.8055763Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8055979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8056095Z     return mod(*inputs)
2025-10-10T00:47:37.8056353Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8056465Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8056696Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8056777Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8057019Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8057123Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8057374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8057498Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8057745Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8057867Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8058141Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8058213Z     query, key, value = [
2025-10-10T00:47:37.8058500Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8058618Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8058622Z 
2025-10-10T00:47:37.8058738Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8058956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8059024Z     return mod(*inputs)
2025-10-10T00:47:37.8059283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8059367Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8059599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8059680Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8059922Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8060023Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8060273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8060395Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8060666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8060854Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8061150Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8061285Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8061547Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8061639Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8061643Z 
2025-10-10T00:47:37.8061755Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8061962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8062029Z     return mod(*inputs)
2025-10-10T00:47:37.8062280Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8062354Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8062578Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8062701Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8062944Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8063104Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8063346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8063463Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8063695Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8063815Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8064072Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8064205Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8064464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8064560Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8064564Z 
2025-10-10T00:47:37.8064677Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8064884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8064950Z     return mod(*inputs)
2025-10-10T00:47:37.8065196Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8065270Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8065494Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8065571Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8065811Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8065907Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8066146Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8066271Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8066507Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8066626Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8066885Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.8067028Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.8067039Z 
2025-10-10T00:47:37.8067145Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8067356Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8067431Z     return mod(*inputs)
2025-10-10T00:47:37.8067671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8067756Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8067974Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8068051Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8068292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8068384Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8068630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8068739Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8068973Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8069140Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8069437Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.8069522Z     return self.output_linear(x)
2025-10-10T00:47:37.8069526Z 
2025-10-10T00:47:37.8069633Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8069838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8069911Z     return mod(*inputs)
2025-10-10T00:47:37.8070152Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8070233Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8070452Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8070536Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8070772Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8070867Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8071117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8071228Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8071489Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8071613Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8071616Z 
2025-10-10T00:47:37.8071723Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8071935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8072000Z     return mod(*inputs)
2025-10-10T00:47:37.8072250Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8072325Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8072542Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8072625Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8072858Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8072955Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8073194Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8073309Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8073562Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8073686Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8073690Z 
2025-10-10T00:47:37.8073808Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8074022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8074098Z     return mod(*inputs)
2025-10-10T00:47:37.8074345Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8074421Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8074651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8074727Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8074978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8075068Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8075347Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8075468Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8075765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8075888Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8075892Z 
2025-10-10T00:47:37.8075998Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8076214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8076281Z     return mod(*inputs)
2025-10-10T00:47:37.8076529Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8076611Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8076830Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8076920Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8077160Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8077255Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8077510Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8077620Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8077623Z 
2025-10-10T00:47:37.8077736Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8077943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8078016Z     return mod(*inputs)
2025-10-10T00:47:37.8078266Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8078340Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8078573Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8078651Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8078900Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8078991Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8079235Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8079353Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8079594Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8079716Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8079980Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8080053Z     query, key, value = [
2025-10-10T00:47:37.8080337Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8080457Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8080460Z 
2025-10-10T00:47:37.8080577Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8080786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8080859Z     return mod(*inputs)
2025-10-10T00:47:37.8081110Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8081185Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8081421Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8081500Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8081802Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8081925Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8082165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8082285Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8082516Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8082635Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8082895Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8082965Z     query, key, value = [
2025-10-10T00:47:37.8083239Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8083353Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8083357Z 
2025-10-10T00:47:37.8083473Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8083680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8083752Z     return mod(*inputs)
2025-10-10T00:47:37.8083992Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8084065Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8084286Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8084363Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8084610Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8084701Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8084964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8085084Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8085327Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8085446Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8085712Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8085853Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8086108Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8086269Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8086272Z 
2025-10-10T00:47:37.8086390Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8086594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8086671Z     return mod(*inputs)
2025-10-10T00:47:37.8086916Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8086990Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8087223Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8087300Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8087537Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8087630Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8087878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8088048Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8088283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8088439Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8088702Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8088844Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8089103Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8089259Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8089263Z 
2025-10-10T00:47:37.8089380Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8089587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8089661Z     return mod(*inputs)
2025-10-10T00:47:37.8089897Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8090100Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8090341Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8090421Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8090669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8090762Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8091029Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8091143Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8091392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8091524Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8091812Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8091957Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8092222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8092385Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8092399Z 
2025-10-10T00:47:37.8092511Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8092726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8092800Z     return mod(*inputs)
2025-10-10T00:47:37.8093061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8093148Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8093427Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8093511Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8093762Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8093855Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8094113Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8094228Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8094472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8094592Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8094942Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8095071Z     query, key, value = [
2025-10-10T00:47:37.8095356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8095475Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8095488Z 
2025-10-10T00:47:37.8095599Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8095819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8095896Z     return mod(*inputs)
2025-10-10T00:47:37.8096151Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8096237Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8096463Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8096548Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8096804Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8096902Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8097164Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8097280Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8097524Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8097654Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8097928Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8098076Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8098341Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8098451Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8098455Z 
2025-10-10T00:47:37.8098583Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8098800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8098875Z     return mod(*inputs)
2025-10-10T00:47:37.8099131Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8099214Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8099442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8099522Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8099778Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8099876Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8100142Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8100257Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8100503Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8100629Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8100903Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8101047Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8101308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8101410Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8101464Z 
2025-10-10T00:47:37.8101576Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8101822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8101899Z     return mod(*inputs)
2025-10-10T00:47:37.8102144Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8102227Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8102452Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8102530Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8102778Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8102873Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8103129Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8103244Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8103489Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8103612Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8103878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.8104035Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.8104039Z 
2025-10-10T00:47:37.8104148Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8104368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8104436Z     return mod(*inputs)
2025-10-10T00:47:37.8104692Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8104778Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8105006Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8105090Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8105339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8105433Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8105698Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8105809Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8106059Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8106172Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8106450Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.8106533Z     return self.output_linear(x)
2025-10-10T00:47:37.8106537Z 
2025-10-10T00:47:37.8106645Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8106866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8106935Z     return mod(*inputs)
2025-10-10T00:47:37.8107197Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8107274Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8107508Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8107600Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8107820Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8107950Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8108178Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8108315Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8108564Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8108678Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8108682Z 
2025-10-10T00:47:37.8108791Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8108989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8109058Z     return mod(*inputs)
2025-10-10T00:47:37.8109291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8109361Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8109585Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8109664Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8109911Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8110003Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8110252Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8110374Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8110639Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8110768Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8110772Z 
2025-10-10T00:47:37.8110879Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8111095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8111164Z     return mod(*inputs)
2025-10-10T00:47:37.8111416Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8111498Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8111726Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8111810Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8112047Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8112140Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8112392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8112502Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8112764Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8112886Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8112890Z 
2025-10-10T00:47:37.8112997Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8113219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8113285Z     return mod(*inputs)
2025-10-10T00:47:37.8113536Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8113610Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8113842Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8113920Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8114194Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8114296Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8114573Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8114690Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8114924Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8115037Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8115308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8115377Z     query, key, value = [
2025-10-10T00:47:37.8115656Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8115768Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8115774Z 
2025-10-10T00:47:37.8115889Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8116100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8116164Z     return mod(*inputs)
2025-10-10T00:47:37.8116420Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8116493Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8116718Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8116795Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8117029Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8117128Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8117372Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8117489Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8117735Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8117842Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8118095Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8118160Z     query, key, value = [
2025-10-10T00:47:37.8118420Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8118524Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8118527Z 
2025-10-10T00:47:37.8118635Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8118832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8118897Z     return mod(*inputs)
2025-10-10T00:47:37.8119134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8119206Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8119417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8119490Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8119712Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8119805Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8120035Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8120144Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8120419Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8120533Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8121534Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8121668Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8121921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8122094Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8122097Z 
2025-10-10T00:47:37.8122204Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8122398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8122461Z     return mod(*inputs)
2025-10-10T00:47:37.8122696Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8122768Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8122997Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8123075Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8123307Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8123405Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8123644Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8123762Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8123995Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8124107Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8124376Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8124513Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8124771Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8124930Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8124934Z 
2025-10-10T00:47:37.8125051Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8125262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8125328Z     return mod(*inputs)
2025-10-10T00:47:37.8125577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8125652Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8125878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8125959Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8126194Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8126295Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8126535Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8126654Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8126887Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8127006Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8127267Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8127447Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8127706Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8127896Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8127899Z 
2025-10-10T00:47:37.8128014Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8128220Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8128287Z     return mod(*inputs)
2025-10-10T00:47:37.8128534Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8128608Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8128832Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8128907Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8129148Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8129244Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8129481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8129599Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8129837Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8129954Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8130212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8130282Z     query, key, value = [
2025-10-10T00:47:37.8130562Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8130679Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8130685Z 
2025-10-10T00:47:37.8130804Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8131017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8131085Z     return mod(*inputs)
2025-10-10T00:47:37.8131338Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8131413Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8131644Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8131723Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8131973Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8132068Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8132319Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8132445Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8132686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8132806Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8133072Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8133294Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8133574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8133670Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8133675Z 
2025-10-10T00:47:37.8133794Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8134049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8134164Z     return mod(*inputs)
2025-10-10T00:47:37.8134421Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8134495Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8134719Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8134797Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8135038Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8135129Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8135369Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8135492Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8135727Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8135849Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8136113Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8136247Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8136502Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8136594Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8136598Z 
2025-10-10T00:47:37.8136712Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8136919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8136993Z     return mod(*inputs)
2025-10-10T00:47:37.8137236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8137312Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8137536Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8137612Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8137848Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8137938Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8138176Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8138291Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8138523Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8138646Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8138904Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.8139057Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.8139061Z 
2025-10-10T00:47:37.8139170Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8139384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8139458Z     return mod(*inputs)
2025-10-10T00:47:37.8139701Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8139783Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8140001Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8140077Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8140352Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8140481Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8140731Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8140842Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8141074Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8141193Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8141454Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.8141540Z     return self.output_linear(x)
2025-10-10T00:47:37.8141544Z 
2025-10-10T00:47:37.8141654Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8141870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8141941Z     return mod(*inputs)
2025-10-10T00:47:37.8142182Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8142264Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8142483Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8142569Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8142803Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8142895Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8143144Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8143256Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8143520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8143644Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8143647Z 
2025-10-10T00:47:37.8143761Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8143967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8144034Z     return mod(*inputs)
2025-10-10T00:47:37.8144283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8144356Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8144582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8144657Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8144894Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8144992Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8145233Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8145351Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8145614Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8145734Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8145737Z 
2025-10-10T00:47:37.8145853Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8146069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8146141Z     return mod(*inputs)
2025-10-10T00:47:37.8146389Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8146497Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8146704Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8146818Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8147046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8147133Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8147372Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8147477Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8147717Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8147841Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8147845Z 
2025-10-10T00:47:37.8147948Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8148150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8148215Z     return mod(*inputs)
2025-10-10T00:47:37.8148444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8148519Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8148725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8148804Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8149026Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8149118Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8149348Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8149455Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8149458Z 
2025-10-10T00:47:37.8149570Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8149766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8149834Z     return mod(*inputs)
2025-10-10T00:47:37.8150064Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8150132Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8150346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8150418Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8150644Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8150731Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8150962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8151073Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8151295Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8151407Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8151653Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8151730Z     query, key, value = [
2025-10-10T00:47:37.8152009Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8152120Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8152123Z 
2025-10-10T00:47:37.8152238Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8152475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8152550Z     return mod(*inputs)
2025-10-10T00:47:37.8152824Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8152901Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8153131Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8153206Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8153447Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8153538Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8153786Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8153902Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8154145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8154269Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8154533Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8154610Z     query, key, value = [
2025-10-10T00:47:37.8154884Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8154991Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8154994Z 
2025-10-10T00:47:37.8155103Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8155301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8155371Z     return mod(*inputs)
2025-10-10T00:47:37.8155600Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8155671Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8155884Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8155957Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8156192Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8156284Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8156531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8156640Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8156875Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8156995Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8157255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8157402Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8157658Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8157816Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8157820Z 
2025-10-10T00:47:37.8157934Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8158139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8158213Z     return mod(*inputs)
2025-10-10T00:47:37.8158450Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8158523Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8158782Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8158891Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8159135Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8159243Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8159492Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8159602Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8159835Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8159958Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8160218Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8160362Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8160612Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8160772Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8160783Z 
2025-10-10T00:47:37.8160890Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8161095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8161171Z     return mod(*inputs)
2025-10-10T00:47:37.8161415Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8161501Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8161720Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8161798Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8162042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8162136Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8162385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8162496Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8162730Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8162852Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8163115Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8163258Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8163510Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8163676Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8163683Z 
2025-10-10T00:47:37.8163790Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8163998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8164072Z     return mod(*inputs)
2025-10-10T00:47:37.8164314Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8164394Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8164612Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8164689Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8164932Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8165084Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8165333Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8165479Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8165710Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8165828Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8166083Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8166160Z     query, key, value = [
2025-10-10T00:47:37.8166429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8166549Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8166553Z 
2025-10-10T00:47:37.8166661Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8166865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8166940Z     return mod(*inputs)
2025-10-10T00:47:37.8167178Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8167258Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8167481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8167556Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8167794Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8167885Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8168138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8168254Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8168488Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8168611Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8168876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8169020Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8169273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8169372Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8169376Z 
2025-10-10T00:47:37.8169482Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8169694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8169772Z     return mod(*inputs)
2025-10-10T00:47:37.8170011Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8170097Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8170321Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8170398Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8170646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8170737Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8170987Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8171097Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8171343Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8171494Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8171805Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8171948Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8172200Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8172298Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8172302Z 
2025-10-10T00:47:37.8172408Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8172623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8172698Z     return mod(*inputs)
2025-10-10T00:47:37.8172947Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8173031Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8173323Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8173411Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8173658Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8173750Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8174002Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8174116Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8174375Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8174494Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8174775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.8174932Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.8174939Z 
2025-10-10T00:47:37.8175050Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8175273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8175343Z     return mod(*inputs)
2025-10-10T00:47:37.8175607Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8175692Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8175915Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8176001Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8176246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8176347Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8176591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8176711Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8176960Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8177074Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8177350Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.8177429Z     return self.output_linear(x)
2025-10-10T00:47:37.8177433Z 
2025-10-10T00:47:37.8177544Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8177762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8177830Z     return mod(*inputs)
2025-10-10T00:47:37.8178124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8178237Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8178464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8178550Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8178792Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8178893Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8179143Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8179263Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8179526Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8179655Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8179659Z 
2025-10-10T00:47:37.8179779Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8179994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8180067Z     return mod(*inputs)
2025-10-10T00:47:37.8180316Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8180391Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8180623Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8180702Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8180949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8181042Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8181292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8181416Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8181676Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8181808Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8181812Z 
2025-10-10T00:47:37.8181920Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8182136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8182204Z     return mod(*inputs)
2025-10-10T00:47:37.8182453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8182536Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8182763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8182848Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8183089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8183181Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8183435Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8183549Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8183818Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8183940Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8183944Z 
2025-10-10T00:47:37.8184060Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8184278Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8184382Z     return mod(*inputs)
2025-10-10T00:47:37.8184643Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8184754Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8184986Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8185065Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8185306Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8185410Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8185657Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8185777Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8186022Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8186138Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8186416Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8186488Z     query, key, value = [
2025-10-10T00:47:37.8186780Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8186897Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8186901Z 
2025-10-10T00:47:37.8187019Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8187242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8187310Z     return mod(*inputs)
2025-10-10T00:47:37.8187590Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8187669Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8187901Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8187982Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8188225Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8188328Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8188587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8188707Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8188956Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8189071Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8189356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8189439Z     query, key, value = [
2025-10-10T00:47:37.8189727Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8189838Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8189842Z 
2025-10-10T00:47:37.8190143Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8190371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8190440Z     return mod(*inputs)
2025-10-10T00:47:37.8190696Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8190771Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8191004Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8191085Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8191460Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8191614Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8191865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8191982Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8192216Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8192337Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8192610Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8192744Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8193000Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8193161Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8193168Z 
2025-10-10T00:47:37.8193284Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8193492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8193558Z     return mod(*inputs)
2025-10-10T00:47:37.8193813Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8193888Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8194116Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8194192Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8194435Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8194539Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8194782Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8194899Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8195136Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8195254Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8195520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8195652Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8195914Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8196075Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8196079Z 
2025-10-10T00:47:37.8196193Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8196401Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8196465Z     return mod(*inputs)
2025-10-10T00:47:37.8196721Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8196794Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8197016Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8197090Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8197328Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8197419Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8197704Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8197824Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8198098Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8198215Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8198475Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8198608Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8198862Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8199017Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8199021Z 
2025-10-10T00:47:37.8199134Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8199341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8199419Z     return mod(*inputs)
2025-10-10T00:47:37.8199659Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8199733Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8199957Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8200036Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8200274Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8200366Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8200604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8200721Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8200954Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8201074Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8201334Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8201404Z     query, key, value = [
2025-10-10T00:47:37.8201681Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8201795Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8201798Z 
2025-10-10T00:47:37.8201915Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8202120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8202193Z     return mod(*inputs)
2025-10-10T00:47:37.8202436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8202514Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8202738Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8202815Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8203057Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8203149Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8203390Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8203507Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8203741Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8203864Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8204167Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8204346Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8204611Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8204704Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8204708Z 
2025-10-10T00:47:37.8204820Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8205023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8205096Z     return mod(*inputs)
2025-10-10T00:47:37.8205332Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8205404Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8205629Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8205707Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8205946Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8206035Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8206273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8206391Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8206627Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8206748Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8207015Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8207159Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8207418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8207515Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8207519Z 
2025-10-10T00:47:37.8207636Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8207846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8207921Z     return mod(*inputs)
2025-10-10T00:47:37.8208169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8208245Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8208478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8208557Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8208806Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8208902Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8209147Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8209268Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8209507Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8209628Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8209894Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.8210049Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.8210053Z 
2025-10-10T00:47:37.8210164Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8210411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8210523Z     return mod(*inputs)
2025-10-10T00:47:37.8210773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8210857Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8211082Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8211160Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8211407Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8211499Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8211753Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8211865Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8212114Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8212234Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8212501Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.8212588Z     return self.output_linear(x)
2025-10-10T00:47:37.8212593Z 
2025-10-10T00:47:37.8212707Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8212923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8212992Z     return mod(*inputs)
2025-10-10T00:47:37.8213303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8213391Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8213622Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8213709Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8213952Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8214047Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8214300Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8214415Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8214683Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8214806Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8214810Z 
2025-10-10T00:47:37.8214926Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8215139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8215211Z     return mod(*inputs)
2025-10-10T00:47:37.8215470Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8215550Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8215781Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8215861Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8216101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8216202Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8216448Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8216571Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8216870Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8217004Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8217042Z 
2025-10-10T00:47:37.8217156Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8217369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8217446Z     return mod(*inputs)
2025-10-10T00:47:37.8217694Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8217777Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8218002Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8218081Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8218329Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8218430Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8218688Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8218807Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8219067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8219199Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8219203Z 
2025-10-10T00:47:37.8219313Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8219531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8219598Z     return mod(*inputs)
2025-10-10T00:47:37.8219853Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8219929Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8220155Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8220245Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8220497Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8220598Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8220838Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8220961Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8220965Z 
2025-10-10T00:47:37.8221081Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8221287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8221359Z     return mod(*inputs)
2025-10-10T00:47:37.8221599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8221674Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8221900Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8221978Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8222230Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8222322Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8222575Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8222690Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8222925Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8223049Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8223356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8223463Z     query, key, value = [
2025-10-10T00:47:37.8223747Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8223864Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8223868Z 
2025-10-10T00:47:37.8223984Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8224194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8224266Z     return mod(*inputs)
2025-10-10T00:47:37.8224515Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8224588Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8224819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8224899Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8225150Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8225241Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8225497Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8225608Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8225848Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8225970Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8226237Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8226315Z     query, key, value = [
2025-10-10T00:47:37.8226597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8226715Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8226727Z 
2025-10-10T00:47:37.8226835Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8227044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8227115Z     return mod(*inputs)
2025-10-10T00:47:37.8227361Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8227440Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8227660Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8227736Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8227983Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8228077Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8228332Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8228444Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8228682Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8228803Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8229071Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8229214Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8229478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8229642Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8229686Z 
2025-10-10T00:47:37.8229794Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8230033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8230107Z     return mod(*inputs)
2025-10-10T00:47:37.8230356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8230438Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8230662Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8230737Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8230980Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8231070Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8231325Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8231434Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8231669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8231790Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8232055Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8232194Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8232451Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8232617Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8232621Z 
2025-10-10T00:47:37.8232727Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8232935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8233014Z     return mod(*inputs)
2025-10-10T00:47:37.8233260Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8233341Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8233565Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8233640Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8233889Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8233981Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8234234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8234344Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8234586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8234709Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8234978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8235117Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8235371Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8235534Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8235538Z 
2025-10-10T00:47:37.8235646Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8235851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8235926Z     return mod(*inputs)
2025-10-10T00:47:37.8236207Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8236325Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8236553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8236628Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8236871Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8236960Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8237211Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8237322Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8237571Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8237686Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8237950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8238028Z     query, key, value = [
2025-10-10T00:47:37.8238281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8238397Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8238401Z 
2025-10-10T00:47:37.8238507Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8238712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8238786Z     return mod(*inputs)
2025-10-10T00:47:37.8239036Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8239117Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8239343Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8239422Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8239663Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8239756Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8240003Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8240113Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8240354Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8240464Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8240721Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8240865Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8241116Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8241215Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8241218Z 
2025-10-10T00:47:37.8241325Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8241529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8241602Z     return mod(*inputs)
2025-10-10T00:47:37.8241841Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8241919Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8242134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8242217Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8242498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8242632Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8242884Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8242992Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8243230Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8243341Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8243602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8243742Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8243993Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8244089Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8244096Z 
2025-10-10T00:47:37.8244204Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8244419Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8244485Z     return mod(*inputs)
2025-10-10T00:47:37.8244722Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8244802Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8245020Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8245104Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8245338Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8245479Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8245742Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8245856Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8246095Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8246208Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8246468Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.8246620Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.8246624Z 
2025-10-10T00:47:37.8246732Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8246946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8247014Z     return mod(*inputs)
2025-10-10T00:47:37.8247267Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8247343Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8247566Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8247654Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8247886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8247985Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8248228Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8248339Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8248581Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8248737Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8249007Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.8249119Z     return self.output_linear(x)
2025-10-10T00:47:37.8249124Z 
2025-10-10T00:47:37.8249242Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8249451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8249520Z     return mod(*inputs)
2025-10-10T00:47:37.8249773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8249849Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8250077Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8250154Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8250394Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8250500Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8250749Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8250870Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8251131Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8251254Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8251257Z 
2025-10-10T00:47:37.8251376Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8251585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8251659Z     return mod(*inputs)
2025-10-10T00:47:37.8251907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8251981Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8252213Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8252292Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8252538Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8252631Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8252886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8252998Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8253558Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8253696Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8253701Z 
2025-10-10T00:47:37.8253817Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8254038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8254107Z     return mod(*inputs)
2025-10-10T00:47:37.8254360Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8254443Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8254670Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8254758Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8255009Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8255108Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8255352Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8255503Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8255809Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8255932Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8255935Z 
2025-10-10T00:47:37.8256052Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8256264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8256331Z     return mod(*inputs)
2025-10-10T00:47:37.8256585Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8256660Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8256890Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8256968Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8257209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8257313Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8257556Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8257675Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8257921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8258044Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8258310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8258383Z     query, key, value = [
2025-10-10T00:47:37.8258669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8258786Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8258793Z 
2025-10-10T00:47:37.8258908Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8259118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8259186Z     return mod(*inputs)
2025-10-10T00:47:37.8259441Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8259516Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8259744Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8259821Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8260056Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8260157Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8260415Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8260538Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8260779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8260899Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8261165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8261238Z     query, key, value = [
2025-10-10T00:47:37.8261521Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8261639Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8261643Z 
2025-10-10T00:47:37.8261756Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8262005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8262108Z     return mod(*inputs)
2025-10-10T00:47:37.8262365Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8262441Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8262673Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8262751Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8262997Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8263092Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8263339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8263461Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8263702Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8263827Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8264096Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8264234Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8264498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8264663Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8264667Z 
2025-10-10T00:47:37.8264785Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8264995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8265071Z     return mod(*inputs)
2025-10-10T00:47:37.8265320Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8265399Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8265630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8265708Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8265956Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8266049Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8266297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8266420Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8266660Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8266784Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8267056Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8267196Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8267469Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8267627Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8267631Z 
2025-10-10T00:47:37.8267745Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8267947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8268022Z     return mod(*inputs)
2025-10-10T00:47:37.8268260Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8268396Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8268623Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8268748Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8268989Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8269081Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8269321Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8269439Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8269674Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8269795Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8270055Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8270199Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8270450Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:47:37.8270607Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:47:37.8270610Z 
2025-10-10T00:47:37.8270727Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8270933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8271007Z     return mod(*inputs)
2025-10-10T00:47:37.8271293Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8271369Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8271613Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8271691Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8271943Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8272038Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8272294Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8272416Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8272665Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8272789Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8273067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:47:37.8273152Z     query, key, value = [
2025-10-10T00:47:37.8273422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:47:37.8273540Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:47:37.8273543Z 
2025-10-10T00:47:37.8273658Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8273864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8273937Z     return mod(*inputs)
2025-10-10T00:47:37.8274184Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8274256Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8274481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8274558Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8274844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8274941Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8275223Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8275342Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8275589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8275710Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8275975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8276116Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8276379Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8276474Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8276481Z 
2025-10-10T00:47:37.8276596Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8276810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8276886Z     return mod(*inputs)
2025-10-10T00:47:37.8277143Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8277217Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8277459Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8277539Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8277796Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8277887Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8278177Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8278287Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8278522Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8278642Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8278910Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:47:37.8279049Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:47:37.8279331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:47:37.8279423Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:47:37.8279426Z 
2025-10-10T00:47:37.8279538Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8279761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8279836Z     return mod(*inputs)
2025-10-10T00:47:37.8280086Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8280167Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8280409Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8280487Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8280736Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8280830Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8281090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8281205Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8281474Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8281632Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8281900Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:47:37.8282053Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:47:37.8282058Z 
2025-10-10T00:47:37.8282166Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8282377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8282454Z     return mod(*inputs)
2025-10-10T00:47:37.8282707Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8282798Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8283017Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8283099Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8283335Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:47:37.8283426Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:47:37.8283679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8283788Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8284031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:47:37.8284143Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:47:37.8284403Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:47:37.8284489Z     return self.output_linear(x)
2025-10-10T00:47:37.8284493Z 
2025-10-10T00:47:37.8284598Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8284812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8284879Z     return mod(*inputs)
2025-10-10T00:47:37.8285120Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8285202Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8285417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8285501Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8285733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8285831Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8286071Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8286182Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8286445Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8286566Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8286570Z 
2025-10-10T00:47:37.8286685Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8286889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8286956Z     return mod(*inputs)
2025-10-10T00:47:37.8287201Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8287274Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8287497Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8287574Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8287840Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8287976Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8288216Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8288333Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8288585Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8288711Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8288714Z 
2025-10-10T00:47:37.8288823Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8289028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8289101Z     return mod(*inputs)
2025-10-10T00:47:37.8289342Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8289424Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8289640Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8289715Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8290086Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8290193Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8291245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8291564Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8291926Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:47:37.8292109Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:47:37.8292117Z 
2025-10-10T00:47:37.8292250Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8292515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8292593Z     return mod(*inputs)
2025-10-10T00:47:37.8292878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:47:37.8292963Z     x = self.bert(x, segment_label)
2025-10-10T00:47:37.8293261Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:47:37.8293368Z     x = transformer.forward(x, mask)
2025-10-10T00:47:37.8293628Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:47:37.8293743Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:47:37.8294009Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:47:37.8294135Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:47:37.8294148Z 
2025-10-10T00:47:37.8294268Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8294505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8294586Z     return mod(*inputs)
2025-10-10T00:47:37.8294852Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-10-10T00:47:37.8294966Z     return self.next_sentence(x), self.mask_lm(x)
2025-10-10T00:47:37.8295364Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward
2025-10-10T00:47:37.8295496Z     return self.softmax(self.linear(x[:, 0]))
2025-10-10T00:47:37.8295501Z 
2025-10-10T00:47:37.8295624Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:37.8296112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:37.8296255Z     return mod(*inputs)
2025-10-10T00:47:37.8296560Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-10-10T00:47:37.8296663Z     return self.next_sentence(x), self.mask_lm(x)
2025-10-10T00:47:37.8296933Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward
2025-10-10T00:47:37.8297022Z     return self.softmax(self.linear(x))
2025-10-10T00:47:37.8297026Z 
2025-10-10T00:47:58.9939528Z Compilation time (from dynamo_timed): 45.61971007
2025-10-10T00:47:59.0000624Z pass
2025-10-10T00:47:59.0002888Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:59.0003817Z TIMING: _recursive_pre_grad_passes:0.00887 _recursive_joint_graph_passes:1.29478 _recursive_post_grad_passes:0.9913 async_compile.wait:0.75427 code_gen:19.80284 inductor_compile:25.23706 backend_compile:38.39868 gc:0.0002 entire_frame_compile:45.61971 total_wall_time:45.61971
2025-10-10T00:47:59.0004974Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5367 | FakeTensorMode.__torch_dispatch__:10217 | attempt fast:84 | fast is_contiguous:84 | ProxyTorchDispatchMode.__torch_dispatch__:2753
2025-10-10T00:47:59.0005613Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique)
2025-10-10T00:48:03.2826752Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:48:03.2828192Z   import pynvml  # type: ignore[import]
2025-10-10T00:48:05.5604607Z 
2025-10-10T00:48:08.0598699Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:48:08.0598986Z loading model: 0it [00:02, ?it/s]
2025-10-10T00:48:08.0615440Z cpu  eval  Background_Matting                 
2025-10-10T00:48:08.0822423Z Compilation time (from dynamo_timed): 0
2025-10-10T00:48:08.0822754Z pass_due_to_skip
2025-10-10T00:48:08.0823133Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:08.0823513Z TIMING: total_wall_time:0
2025-10-10T00:48:08.0823726Z STATS: call_* op count: 0
2025-10-10T00:48:08.0824006Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-10-10T00:48:09.3896425Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:48:09.3897316Z   import pynvml  # type: ignore[import]
2025-10-10T00:48:11.6641475Z 
2025-10-10T00:48:13.5559579Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:48:13.5563682Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:48:13.5566383Z cpu  eval  LearningToPaint                    
2025-10-10T00:48:13.6530414Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:13.6871380Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:13.7184399Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:20.1611551Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1611903Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1612142Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1612376Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1612598Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1612820Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1613047Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1614695Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1614958Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1615320Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1615553Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1615781Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1616000Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1616226Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1616453Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1616682Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1617104Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1617333Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.1617604Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1618035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1618463Z     return mod(*inputs)
2025-10-10T00:48:20.1618863Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-10-10T00:48:20.1619275Z     x = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1619425Z 
2025-10-10T00:48:20.1619553Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1619957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1620316Z     return mod(*inputs)
2025-10-10T00:48:20.1620676Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-10-10T00:48:20.1621065Z     x = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1621207Z 
2025-10-10T00:48:20.1621331Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1621722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1622079Z     return mod(*inputs)
2025-10-10T00:48:20.1622450Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:48:20.1622825Z     x = self.layer1(x)
2025-10-10T00:48:20.1623191Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1623576Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1623791Z 
2025-10-10T00:48:20.1623916Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1624316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1624673Z     return mod(*inputs)
2025-10-10T00:48:20.1625021Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:48:20.1625392Z     x = self.layer1(x)
2025-10-10T00:48:20.1625741Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1626138Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1626282Z 
2025-10-10T00:48:20.1626471Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1626856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1627216Z     return mod(*inputs)
2025-10-10T00:48:20.1627561Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:48:20.1627931Z     x = self.layer1(x)
2025-10-10T00:48:20.1628267Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:48:20.1628640Z     out = self.bn2(self.conv2(out))
2025-10-10T00:48:20.1628783Z 
2025-10-10T00:48:20.1628892Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1629270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1629611Z     return mod(*inputs)
2025-10-10T00:48:20.1629938Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:48:20.1630393Z     x = self.layer1(x)
2025-10-10T00:48:20.1630738Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-10-10T00:48:20.1631141Z     out += self.shortcut(x)
2025-10-10T00:48:20.1631263Z 
2025-10-10T00:48:20.1631371Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1631750Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1632088Z     return mod(*inputs)
2025-10-10T00:48:20.1632434Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:48:20.1632788Z     x = self.layer1(x)
2025-10-10T00:48:20.1633111Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1633491Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1633684Z 
2025-10-10T00:48:20.1633815Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1634189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1634582Z     return mod(*inputs)
2025-10-10T00:48:20.1634917Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:48:20.1635275Z     x = self.layer1(x)
2025-10-10T00:48:20.1635607Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1635991Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1636134Z 
2025-10-10T00:48:20.1636248Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1636610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1636948Z     return mod(*inputs)
2025-10-10T00:48:20.1637280Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:48:20.1637696Z     x = self.layer1(x)
2025-10-10T00:48:20.1638018Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:48:20.1638395Z     out = self.bn2(self.conv2(out))
2025-10-10T00:48:20.1638537Z 
2025-10-10T00:48:20.1638646Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1639019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1639354Z     return mod(*inputs)
2025-10-10T00:48:20.1639681Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:48:20.1640040Z     x = self.layer1(x)
2025-10-10T00:48:20.1640367Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-10-10T00:48:20.1640735Z     out = F.relu(out)
2025-10-10T00:48:20.1640840Z 
2025-10-10T00:48:20.1640945Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1641326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1641672Z     return mod(*inputs)
2025-10-10T00:48:20.1642016Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:48:20.1642385Z     x = self.layer2(x)
2025-10-10T00:48:20.1642712Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1643081Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1643225Z 
2025-10-10T00:48:20.1643342Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1643720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1644055Z     return mod(*inputs)
2025-10-10T00:48:20.1644397Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:48:20.1644766Z     x = self.layer2(x)
2025-10-10T00:48:20.1645146Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1645565Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1645709Z 
2025-10-10T00:48:20.1645820Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1646201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1646564Z     return mod(*inputs)
2025-10-10T00:48:20.1646911Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:48:20.1647272Z     x = self.layer2(x)
2025-10-10T00:48:20.1647617Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:48:20.1647994Z     out = self.bn2(self.conv2(out))
2025-10-10T00:48:20.1648132Z 
2025-10-10T00:48:20.1648252Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1648642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1648989Z     return mod(*inputs)
2025-10-10T00:48:20.1649336Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:48:20.1649709Z     x = self.layer2(x)
2025-10-10T00:48:20.1650047Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-10-10T00:48:20.1650412Z     out += self.shortcut(x)
2025-10-10T00:48:20.1650546Z 
2025-10-10T00:48:20.1650656Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1651048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1651396Z     return mod(*inputs)
2025-10-10T00:48:20.1651741Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:48:20.1652104Z     x = self.layer2(x)
2025-10-10T00:48:20.1652445Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1652833Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1652975Z 
2025-10-10T00:48:20.1653093Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1653639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1653988Z     return mod(*inputs)
2025-10-10T00:48:20.1654333Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:48:20.1654704Z     x = self.layer2(x)
2025-10-10T00:48:20.1655044Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1655419Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1655568Z 
2025-10-10T00:48:20.1655678Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1656067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1656418Z     return mod(*inputs)
2025-10-10T00:48:20.1656757Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:48:20.1657126Z     x = self.layer2(x)
2025-10-10T00:48:20.1657463Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:48:20.1657846Z     out = self.bn2(self.conv2(out))
2025-10-10T00:48:20.1657982Z 
2025-10-10T00:48:20.1658099Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1658464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1658780Z     return mod(*inputs)
2025-10-10T00:48:20.1659096Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:48:20.1659432Z     x = self.layer2(x)
2025-10-10T00:48:20.1659780Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-10-10T00:48:20.1660122Z     out = F.relu(out)
2025-10-10T00:48:20.1660284Z 
2025-10-10T00:48:20.1660383Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1660734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1661050Z     return mod(*inputs)
2025-10-10T00:48:20.1661358Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:48:20.1661695Z     x = self.layer3(x)
2025-10-10T00:48:20.1662005Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1662355Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1662486Z 
2025-10-10T00:48:20.1662585Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1662953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1663295Z     return mod(*inputs)
2025-10-10T00:48:20.1663631Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:48:20.1663980Z     x = self.layer3(x)
2025-10-10T00:48:20.1664304Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1664684Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1664814Z 
2025-10-10T00:48:20.1664922Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1665270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1665579Z     return mod(*inputs)
2025-10-10T00:48:20.1665897Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:48:20.1666234Z     x = self.layer3(x)
2025-10-10T00:48:20.1666551Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:48:20.1666886Z     out = self.bn2(self.conv2(out))
2025-10-10T00:48:20.1667020Z 
2025-10-10T00:48:20.1667122Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1667471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1667785Z     return mod(*inputs)
2025-10-10T00:48:20.1668099Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:48:20.1668443Z     x = self.layer3(x)
2025-10-10T00:48:20.1668768Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-10-10T00:48:20.1669129Z     out += self.shortcut(x)
2025-10-10T00:48:20.1669246Z 
2025-10-10T00:48:20.1669359Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1669723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1670063Z     return mod(*inputs)
2025-10-10T00:48:20.1670391Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:48:20.1670737Z     x = self.layer3(x)
2025-10-10T00:48:20.1671046Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1671385Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1671525Z 
2025-10-10T00:48:20.1671626Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1671979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1672296Z     return mod(*inputs)
2025-10-10T00:48:20.1672602Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:48:20.1672946Z     x = self.layer3(x)
2025-10-10T00:48:20.1673258Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1673635Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1673770Z 
2025-10-10T00:48:20.1673920Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1674296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1674631Z     return mod(*inputs)
2025-10-10T00:48:20.1674948Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:48:20.1675316Z     x = self.layer3(x)
2025-10-10T00:48:20.1675642Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:48:20.1676008Z     out = self.bn2(self.conv2(out))
2025-10-10T00:48:20.1676145Z 
2025-10-10T00:48:20.1676253Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1676635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1676981Z     return mod(*inputs)
2025-10-10T00:48:20.1677320Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:48:20.1677682Z     x = self.layer3(x)
2025-10-10T00:48:20.1678064Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-10-10T00:48:20.1678430Z     out = F.relu(out)
2025-10-10T00:48:20.1678532Z 
2025-10-10T00:48:20.1678639Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1679020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1679356Z     return mod(*inputs)
2025-10-10T00:48:20.1679692Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:48:20.1680063Z     x = self.layer4(x)
2025-10-10T00:48:20.1680390Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1680765Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1680913Z 
2025-10-10T00:48:20.1681022Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1681397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1681724Z     return mod(*inputs)
2025-10-10T00:48:20.1682060Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:48:20.1682420Z     x = self.layer4(x)
2025-10-10T00:48:20.1682745Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1683109Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1683248Z 
2025-10-10T00:48:20.1683356Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1683727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1684062Z     return mod(*inputs)
2025-10-10T00:48:20.1684398Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:48:20.1684752Z     x = self.layer4(x)
2025-10-10T00:48:20.1685082Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:48:20.1685456Z     out = self.bn2(self.conv2(out))
2025-10-10T00:48:20.1685586Z 
2025-10-10T00:48:20.1685699Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1686070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1686396Z     return mod(*inputs)
2025-10-10T00:48:20.1686730Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:48:20.1687102Z     x = self.layer4(x)
2025-10-10T00:48:20.1687430Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-10-10T00:48:20.1687798Z     out += self.shortcut(x)
2025-10-10T00:48:20.1687922Z 
2025-10-10T00:48:20.1688074Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1688479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1688813Z     return mod(*inputs)
2025-10-10T00:48:20.1689146Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:48:20.1689504Z     x = self.layer4(x)
2025-10-10T00:48:20.1689834Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1690418Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1690561Z 
2025-10-10T00:48:20.1690679Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1691045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1691382Z     return mod(*inputs)
2025-10-10T00:48:20.1691724Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:48:20.1692091Z     x = self.layer4(x)
2025-10-10T00:48:20.1692435Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:48:20.1692805Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:48:20.1692958Z 
2025-10-10T00:48:20.1693070Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1693614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1693964Z     return mod(*inputs)
2025-10-10T00:48:20.1694306Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:48:20.1694677Z     x = self.layer4(x)
2025-10-10T00:48:20.1695021Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:48:20.1695398Z     out = self.bn2(self.conv2(out))
2025-10-10T00:48:20.1695535Z 
2025-10-10T00:48:20.1695660Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1696036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1696385Z     return mod(*inputs)
2025-10-10T00:48:20.1696731Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:48:20.1697126Z     x = self.layer4(x)
2025-10-10T00:48:20.1697461Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-10-10T00:48:20.1697826Z     out = F.relu(out)
2025-10-10T00:48:20.1697937Z 
2025-10-10T00:48:20.1698046Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1698429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1698780Z     return mod(*inputs)
2025-10-10T00:48:20.1699118Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward
2025-10-10T00:48:20.1699501Z     x = F.avg_pool2d(x, 4)
2025-10-10T00:48:20.1699622Z 
2025-10-10T00:48:20.1699744Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1700129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1700467Z     return mod(*inputs)
2025-10-10T00:48:20.1700814Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward
2025-10-10T00:48:20.1701189Z     x = self.fc(x)
2025-10-10T00:48:20.1701290Z 
2025-10-10T00:48:20.1701409Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.1701790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.1702152Z     return mod(*inputs)
2025-10-10T00:48:20.1702499Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward
2025-10-10T00:48:20.1702880Z     x = torch.sigmoid(x)
2025-10-10T00:48:20.1703121Z 
2025-10-10T00:48:31.3465833Z Compilation time (from dynamo_timed): 16.735225199
2025-10-10T00:48:31.3466724Z pass
2025-10-10T00:48:31.3467078Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:31.3467981Z TIMING: _recursive_pre_grad_passes:0.00504 _recursive_joint_graph_passes:0.15573 _recursive_post_grad_passes:0.04677 async_compile.wait:0.83506 code_gen:10.14266 inductor_compile:11.50504 backend_compile:13.94078 gc:0.0002 entire_frame_compile:16.73523 total_wall_time:16.73523
2025-10-10T00:48:31.3469063Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:3199 | attempt fast:38 | fast is_contiguous:38 | FakeTensor.__torch_dispatch__:2120 | ProxyTorchDispatchMode.__torch_dispatch__:1128
2025-10-10T00:48:31.3469678Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-10-10T00:48:33.6722350Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:48:33.6723936Z   import pynvml  # type: ignore[import]
2025-10-10T00:48:35.9534835Z 
2025-10-10T00:48:36.9236421Z 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
2025-10-10T00:48:36.9508383Z 
2025-10-10T00:48:36.9508586Z 
2025-10-10T00:48:37.0511147Z   0% 0.00/528M [00:00<?, ?B/s]
2025-10-10T00:48:37.0511377Z 
2025-10-10T00:48:37.1515334Z   2% 9.62M/528M [00:00<00:05, 100MB/s]
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2025-10-10T00:48:37.2523198Z   4% 21.5M/528M [00:00<00:04, 114MB/s]
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2025-10-10T00:48:37.3528379Z  10% 55.1M/528M [00:00<00:02, 222MB/s]
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2025-10-10T00:48:37.4527408Z  21% 108M/528M [00:00<00:01, 354MB/s] 
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2025-10-10T00:48:38.7886034Z  96% 509M/528M [00:01<00:00, 264MB/s]
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2025-10-10T00:48:40.3954555Z 
2025-10-10T00:48:40.3954649Z loading model: 0it [00:04, ?it/s]
2025-10-10T00:48:40.3961033Z cpu  eval  Super_SloMo                        
2025-10-10T00:49:06.9195408Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:08.5448551Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:10.0859804Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:38.9780792Z cudagraph partition due to non gpu ops
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2025-10-10T00:49:38.9792825Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9793047Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9793277Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9793504Z cudagraph partition due to non gpu ops
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2025-10-10T00:49:38.9793961Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9794187Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9794457Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9794894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9795263Z     return mod(*inputs)
2025-10-10T00:49:38.9795604Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9795994Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9796168Z 
2025-10-10T00:49:38.9796263Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9796516Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9796923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9797279Z     return mod(*inputs)
2025-10-10T00:49:38.9797600Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9797975Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9798467Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-10-10T00:49:38.9798921Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9799096Z 
2025-10-10T00:49:38.9799216Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9799616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9799985Z     return mod(*inputs)
2025-10-10T00:49:38.9800294Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9800676Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9801044Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-10-10T00:49:38.9801415Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9801578Z 
2025-10-10T00:49:38.9801692Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9802108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9802475Z     return mod(*inputs)
2025-10-10T00:49:38.9802798Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9803230Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9803594Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-10-10T00:49:38.9803967Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9804139Z 
2025-10-10T00:49:38.9804249Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9804641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9805007Z     return mod(*inputs)
2025-10-10T00:49:38.9805323Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9805700Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9806068Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:49:38.9806407Z     s2 = self.down1(s1)
2025-10-10T00:49:38.9806715Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:49:38.9807055Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:49:38.9807180Z 
2025-10-10T00:49:38.9807299Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9807682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9808033Z     return mod(*inputs)
2025-10-10T00:49:38.9808338Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9808702Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9809067Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:49:38.9809430Z     s2 = self.down1(s1)
2025-10-10T00:49:38.9809741Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9810106Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9810268Z 
2025-10-10T00:49:38.9810389Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9810764Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9811122Z     return mod(*inputs)
2025-10-10T00:49:38.9811430Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9811795Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9812147Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:49:38.9812483Z     s2 = self.down1(s1)
2025-10-10T00:49:38.9812835Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9813723Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9813946Z 
2025-10-10T00:49:38.9814070Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9814460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9814821Z     return mod(*inputs)
2025-10-10T00:49:38.9815139Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9815502Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9815849Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:49:38.9816178Z     s2 = self.down1(s1)
2025-10-10T00:49:38.9816477Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:38.9816834Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9817000Z 
2025-10-10T00:49:38.9817125Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9817520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9817876Z     return mod(*inputs)
2025-10-10T00:49:38.9818188Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9818564Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9818921Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:49:38.9819266Z     s3 = self.down2(s2)
2025-10-10T00:49:38.9819584Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:49:38.9819914Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:49:38.9820038Z 
2025-10-10T00:49:38.9820157Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9820570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9820930Z     return mod(*inputs)
2025-10-10T00:49:38.9821252Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9821626Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9821983Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:49:38.9822326Z     s3 = self.down2(s2)
2025-10-10T00:49:38.9822637Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9823007Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9823162Z 
2025-10-10T00:49:38.9823275Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9823662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9824154Z     return mod(*inputs)
2025-10-10T00:49:38.9824742Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9840427Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9840848Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:49:38.9841206Z     s3 = self.down2(s2)
2025-10-10T00:49:38.9841533Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9841911Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9842083Z 
2025-10-10T00:49:38.9842213Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9842614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9842990Z     return mod(*inputs)
2025-10-10T00:49:38.9843315Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9843694Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9844207Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:49:38.9844628Z     s3 = self.down2(s2)
2025-10-10T00:49:38.9844938Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:38.9845302Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9845468Z 
2025-10-10T00:49:38.9845590Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9845979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9846327Z     return mod(*inputs)
2025-10-10T00:49:38.9846637Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9847007Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9847360Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:49:38.9847696Z     s4 = self.down3(s3)
2025-10-10T00:49:38.9847998Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:49:38.9848341Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:49:38.9848467Z 
2025-10-10T00:49:38.9848589Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9849112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9849491Z     return mod(*inputs)
2025-10-10T00:49:38.9849802Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9850173Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9850531Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:49:38.9850865Z     s4 = self.down3(s3)
2025-10-10T00:49:38.9851169Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9851537Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9851702Z 
2025-10-10T00:49:38.9851829Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9852209Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9852576Z     return mod(*inputs)
2025-10-10T00:49:38.9852885Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9853339Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9853697Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:49:38.9854029Z     s4 = self.down3(s3)
2025-10-10T00:49:38.9854330Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9854691Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9854852Z 
2025-10-10T00:49:38.9854976Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9855351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9855707Z     return mod(*inputs)
2025-10-10T00:49:38.9856017Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9856391Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9856746Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:49:38.9857075Z     s4 = self.down3(s3)
2025-10-10T00:49:38.9857378Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:38.9857739Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9857898Z 
2025-10-10T00:49:38.9858018Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9858392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9858792Z     return mod(*inputs)
2025-10-10T00:49:38.9859106Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9859529Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9859880Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:49:38.9860213Z     s5 = self.down4(s4)
2025-10-10T00:49:38.9860513Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:49:38.9860858Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:49:38.9860991Z 
2025-10-10T00:49:38.9861100Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9861474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9861816Z     return mod(*inputs)
2025-10-10T00:49:38.9862115Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9862483Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9862832Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:49:38.9863159Z     s5 = self.down4(s4)
2025-10-10T00:49:38.9863463Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9863829Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9863987Z 
2025-10-10T00:49:38.9864098Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9864493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9864841Z     return mod(*inputs)
2025-10-10T00:49:38.9865147Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9865533Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9865882Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:49:38.9866205Z     s5 = self.down4(s4)
2025-10-10T00:49:38.9866512Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9866910Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9867065Z 
2025-10-10T00:49:38.9867172Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9867554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9867891Z     return mod(*inputs)
2025-10-10T00:49:38.9868194Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9868548Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9868889Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:49:38.9869210Z     s5 = self.down4(s4)
2025-10-10T00:49:38.9869503Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:38.9869855Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9870012Z 
2025-10-10T00:49:38.9870119Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9870495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9870857Z     return mod(*inputs)
2025-10-10T00:49:38.9871162Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9871527Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9871885Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:49:38.9872203Z     x = self.down5(s5)
2025-10-10T00:49:38.9872503Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:49:38.9872824Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:49:38.9872982Z 
2025-10-10T00:49:38.9873098Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9873526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9873876Z     return mod(*inputs)
2025-10-10T00:49:38.9874186Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9874551Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9874907Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:49:38.9875245Z     x = self.down5(s5)
2025-10-10T00:49:38.9875561Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9875914Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9876069Z 
2025-10-10T00:49:38.9876182Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9876567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9876921Z     return mod(*inputs)
2025-10-10T00:49:38.9877230Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9877595Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9877947Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:49:38.9878280Z     x = self.down5(s5)
2025-10-10T00:49:38.9878584Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9878938Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9879098Z 
2025-10-10T00:49:38.9879207Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9879590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9879954Z     return mod(*inputs)
2025-10-10T00:49:38.9880264Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9880632Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9880990Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:49:38.9881317Z     x = self.down5(s5)
2025-10-10T00:49:38.9881621Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:38.9881977Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9882146Z 
2025-10-10T00:49:38.9882257Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9882643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9882995Z     return mod(*inputs)
2025-10-10T00:49:38.9883295Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9883666Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9884030Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:49:38.9884365Z     x = self.up1(x, s5)
2025-10-10T00:49:38.9884657Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:38.9885014Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9885180Z 
2025-10-10T00:49:38.9885291Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9885677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9886024Z     return mod(*inputs)
2025-10-10T00:49:38.9886325Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9886688Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9887085Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:49:38.9887417Z     x = self.up1(x, s5)
2025-10-10T00:49:38.9887764Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:38.9888124Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9888290Z 
2025-10-10T00:49:38.9888402Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9888785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9889131Z     return mod(*inputs)
2025-10-10T00:49:38.9889431Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9889802Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9890354Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:49:38.9890691Z     s5 = self.down4(s4)
2025-10-10T00:49:38.9890996Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:38.9891361Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9891534Z 
2025-10-10T00:49:38.9891647Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9892036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9892405Z     return mod(*inputs)
2025-10-10T00:49:38.9892709Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9893079Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9893509Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:49:38.9893843Z     x = self.up1(x, s5)
2025-10-10T00:49:38.9894137Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9894551Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9894776Z 
2025-10-10T00:49:38.9894868Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9895138Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9895518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9895882Z     return mod(*inputs)
2025-10-10T00:49:38.9896189Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9896553Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9896909Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:49:38.9897235Z     x = self.up1(x, s5)
2025-10-10T00:49:38.9897540Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9897945Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9898153Z 
2025-10-10T00:49:38.9898277Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9898679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9899032Z     return mod(*inputs)
2025-10-10T00:49:38.9899350Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9899726Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9900082Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:49:38.9900402Z     x = self.up2(x, s4)
2025-10-10T00:49:38.9900703Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:38.9901062Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9901221Z 
2025-10-10T00:49:38.9901342Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9902475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9902850Z     return mod(*inputs)
2025-10-10T00:49:38.9903224Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9903599Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9903963Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:49:38.9904283Z     x = self.up2(x, s4)
2025-10-10T00:49:38.9904582Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:38.9904945Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9905155Z 
2025-10-10T00:49:38.9905276Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9905652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9905993Z     return mod(*inputs)
2025-10-10T00:49:38.9906319Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9906689Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9907048Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:49:38.9907369Z     s4 = self.down3(s3)
2025-10-10T00:49:38.9907672Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:38.9908034Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9908192Z 
2025-10-10T00:49:38.9908311Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9908706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9909047Z     return mod(*inputs)
2025-10-10T00:49:38.9909353Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9909720Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9910080Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:49:38.9910402Z     x = self.up2(x, s4)
2025-10-10T00:49:38.9910700Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9911105Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9911311Z 
2025-10-10T00:49:38.9911407Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9911678Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9912043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9912377Z     return mod(*inputs)
2025-10-10T00:49:38.9912677Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9913040Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9913391Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:49:38.9913723Z     x = self.up2(x, s4)
2025-10-10T00:49:38.9914019Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9914422Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9914628Z 
2025-10-10T00:49:38.9914746Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9915124Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9915496Z     return mod(*inputs)
2025-10-10T00:49:38.9915801Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9916165Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9916519Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:49:38.9916943Z     x = self.up3(x, s3)
2025-10-10T00:49:38.9917239Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:38.9917632Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9917792Z 
2025-10-10T00:49:38.9917910Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9918286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9918635Z     return mod(*inputs)
2025-10-10T00:49:38.9918945Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9919318Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9919670Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:49:38.9920004Z     x = self.up3(x, s3)
2025-10-10T00:49:38.9920312Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:38.9920682Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9920842Z 
2025-10-10T00:49:38.9920957Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9921321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9921656Z     return mod(*inputs)
2025-10-10T00:49:38.9921957Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9922321Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9922671Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:49:38.9922996Z     s3 = self.down2(s2)
2025-10-10T00:49:38.9923303Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:38.9923666Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9923827Z 
2025-10-10T00:49:38.9923946Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9924323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9924678Z     return mod(*inputs)
2025-10-10T00:49:38.9924982Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9925349Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9925695Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:49:38.9926022Z     x = self.up3(x, s3)
2025-10-10T00:49:38.9926322Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9926722Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9926927Z 
2025-10-10T00:49:38.9927020Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9927272Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9927650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9928003Z     return mod(*inputs)
2025-10-10T00:49:38.9928307Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9928667Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9929026Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:49:38.9929352Z     x = self.up3(x, s3)
2025-10-10T00:49:38.9929650Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9930050Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9930256Z 
2025-10-10T00:49:38.9930366Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9930755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9931155Z     return mod(*inputs)
2025-10-10T00:49:38.9931466Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9931870Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9932230Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:49:38.9932555Z     x = self.up4(x, s2)
2025-10-10T00:49:38.9932855Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:38.9933300Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9933470Z 
2025-10-10T00:49:38.9933585Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9933971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9934338Z     return mod(*inputs)
2025-10-10T00:49:38.9934655Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9935014Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9935379Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:49:38.9935710Z     x = self.up4(x, s2)
2025-10-10T00:49:38.9936016Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:38.9936377Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9936539Z 
2025-10-10T00:49:38.9936649Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9937039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9937403Z     return mod(*inputs)
2025-10-10T00:49:38.9937708Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9938069Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9938429Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:49:38.9938762Z     s2 = self.down1(s1)
2025-10-10T00:49:38.9939062Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:38.9939421Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9939598Z 
2025-10-10T00:49:38.9939718Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9940108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9940450Z     return mod(*inputs)
2025-10-10T00:49:38.9940759Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9941119Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9941478Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:49:38.9941809Z     x = self.up4(x, s2)
2025-10-10T00:49:38.9942106Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9942516Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9942731Z 
2025-10-10T00:49:38.9942818Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9943080Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9943449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9943799Z     return mod(*inputs)
2025-10-10T00:49:38.9944107Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9944472Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9944831Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:49:38.9945159Z     x = self.up4(x, s2)
2025-10-10T00:49:38.9945516Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9945925Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9946187Z 
2025-10-10T00:49:38.9946306Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9946698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9947037Z     return mod(*inputs)
2025-10-10T00:49:38.9947338Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9947695Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9948050Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:49:38.9948361Z     x = self.up5(x, s1)
2025-10-10T00:49:38.9948654Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:38.9949004Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9949161Z 
2025-10-10T00:49:38.9949277Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9949643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9949977Z     return mod(*inputs)
2025-10-10T00:49:38.9950274Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9950623Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9950968Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:49:38.9951275Z     x = self.up5(x, s1)
2025-10-10T00:49:38.9951568Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:38.9951907Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9952061Z 
2025-10-10T00:49:38.9952173Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9952537Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9952877Z     return mod(*inputs)
2025-10-10T00:49:38.9953169Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9953520Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9953867Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-10-10T00:49:38.9954218Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9954382Z 
2025-10-10T00:49:38.9954490Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9954866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9955202Z     return mod(*inputs)
2025-10-10T00:49:38.9955494Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9955850Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9956198Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:49:38.9956520Z     x = self.up5(x, s1)
2025-10-10T00:49:38.9956817Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9957221Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9957435Z 
2025-10-10T00:49:38.9957532Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9957783Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9958154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9958484Z     return mod(*inputs)
2025-10-10T00:49:38.9958786Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9959143Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9959540Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:49:38.9959911Z     x = self.up5(x, s1)
2025-10-10T00:49:38.9960210Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9960606Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9960809Z 
2025-10-10T00:49:38.9960927Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9961303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9961635Z     return mod(*inputs)
2025-10-10T00:49:38.9961935Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9962291Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9962641Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:49:38.9962955Z     x = self.up5(x, s1)
2025-10-10T00:49:38.9963254Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:38.9963663Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:38.9963870Z 
2025-10-10T00:49:38.9963989Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9964389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9964745Z     return mod(*inputs)
2025-10-10T00:49:38.9965064Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:49:38.9965444Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:49:38.9965800Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-10-10T00:49:38.9966149Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-10-10T00:49:38.9966319Z 
2025-10-10T00:49:38.9966433Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9966816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9967182Z     return mod(*inputs)
2025-10-10T00:49:38.9967498Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 45, in forward
2025-10-10T00:49:38.9967868Z     g_I1_F_t_1 = self.trainFlowBackWarp(I1, F_t_1)
2025-10-10T00:49:38.9968227Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:49:38.9968571Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:49:38.9968711Z 
2025-10-10T00:49:38.9968831Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9969220Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9969583Z     return mod(*inputs)
2025-10-10T00:49:38.9969906Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 44, in forward
2025-10-10T00:49:38.9970272Z     g_I0_F_t_0 = self.trainFlowBackWarp(I0, F_t_0)
2025-10-10T00:49:38.9970634Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:49:38.9970968Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:49:38.9971118Z 
2025-10-10T00:49:38.9971203Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9971434Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9971660Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9971875Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.9972126Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9972511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9972876Z     return mod(*inputs)
2025-10-10T00:49:38.9973269Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward
2025-10-10T00:49:38.9973629Z     torch.cat(
2025-10-10T00:49:38.9973789Z 
2025-10-10T00:49:38.9973906Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9974333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9974702Z     return mod(*inputs)
2025-10-10T00:49:38.9975008Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:38.9975365Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:38.9975711Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-10-10T00:49:38.9976075Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9976240Z 
2025-10-10T00:49:38.9976351Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9976731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9977077Z     return mod(*inputs)
2025-10-10T00:49:38.9977392Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:38.9977747Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:38.9978082Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-10-10T00:49:38.9978443Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9978611Z 
2025-10-10T00:49:38.9978719Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9979102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9979463Z     return mod(*inputs)
2025-10-10T00:49:38.9979770Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:38.9980120Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:38.9980465Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-10-10T00:49:38.9980834Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9981004Z 
2025-10-10T00:49:38.9981115Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9981503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9981848Z     return mod(*inputs)
2025-10-10T00:49:38.9982156Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:38.9982498Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:38.9982837Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:49:38.9983167Z     s2 = self.down1(s1)
2025-10-10T00:49:38.9983471Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:49:38.9983809Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:49:38.9983931Z 
2025-10-10T00:49:38.9984042Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9984428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9984781Z     return mod(*inputs)
2025-10-10T00:49:38.9985101Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:38.9985437Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:38.9985767Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:49:38.9986085Z     s2 = self.down1(s1)
2025-10-10T00:49:38.9986379Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9986728Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9986886Z 
2025-10-10T00:49:38.9986996Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9987377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9987722Z     return mod(*inputs)
2025-10-10T00:49:38.9988074Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:38.9988426Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:38.9988807Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:49:38.9989145Z     s2 = self.down1(s1)
2025-10-10T00:49:38.9989437Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9989787Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9989944Z 
2025-10-10T00:49:38.9990178Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9990566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9990917Z     return mod(*inputs)
2025-10-10T00:49:38.9991230Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:38.9991575Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:38.9991923Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:49:38.9992258Z     s2 = self.down1(s1)
2025-10-10T00:49:38.9992566Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:38.9992924Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:38.9993095Z 
2025-10-10T00:49:38.9993204Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9993590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9993956Z     return mod(*inputs)
2025-10-10T00:49:38.9994262Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:38.9994603Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:38.9994943Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:49:38.9995268Z     s3 = self.down2(s2)
2025-10-10T00:49:38.9995571Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:49:38.9995900Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:49:38.9996029Z 
2025-10-10T00:49:38.9996138Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9996520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9996886Z     return mod(*inputs)
2025-10-10T00:49:38.9997191Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:38.9997532Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:38.9997873Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:49:38.9998202Z     s3 = self.down2(s2)
2025-10-10T00:49:38.9998503Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:38.9998857Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:38.9999028Z 
2025-10-10T00:49:38.9999143Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.9999530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:38.9999881Z     return mod(*inputs)
2025-10-10T00:49:39.0000196Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0000539Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0000881Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:49:39.0001213Z     s3 = self.down2(s2)
2025-10-10T00:49:39.0001515Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:39.0001865Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0002034Z 
2025-10-10T00:49:39.0002144Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0002647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0003013Z     return mod(*inputs)
2025-10-10T00:49:39.0003388Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0003742Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0004086Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:49:39.0004419Z     s3 = self.down2(s2)
2025-10-10T00:49:39.0004724Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:39.0005084Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:39.0005257Z 
2025-10-10T00:49:39.0005368Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0005758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0006114Z     return mod(*inputs)
2025-10-10T00:49:39.0006435Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0006775Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0007114Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:49:39.0007442Z     s4 = self.down3(s3)
2025-10-10T00:49:39.0007740Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:49:39.0008071Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:49:39.0008199Z 
2025-10-10T00:49:39.0008308Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0008703Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0009060Z     return mod(*inputs)
2025-10-10T00:49:39.0009371Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0009728Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0010064Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:49:39.0010391Z     s4 = self.down3(s3)
2025-10-10T00:49:39.0010698Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:39.0011053Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0011220Z 
2025-10-10T00:49:39.0011330Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0011717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0012072Z     return mod(*inputs)
2025-10-10T00:49:39.0012378Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0012727Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0013065Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:49:39.0013495Z     s4 = self.down3(s3)
2025-10-10T00:49:39.0013806Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:39.0014161Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0014335Z 
2025-10-10T00:49:39.0014447Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0014835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0015184Z     return mod(*inputs)
2025-10-10T00:49:39.0015483Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0015830Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0016172Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:49:39.0016508Z     s4 = self.down3(s3)
2025-10-10T00:49:39.0016810Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:39.0017158Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:39.0017385Z 
2025-10-10T00:49:39.0017498Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0017925Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0018268Z     return mod(*inputs)
2025-10-10T00:49:39.0018565Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0018928Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0019257Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:49:39.0019577Z     s5 = self.down4(s4)
2025-10-10T00:49:39.0019875Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:49:39.0020198Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:49:39.0020322Z 
2025-10-10T00:49:39.0020428Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0020804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0021138Z     return mod(*inputs)
2025-10-10T00:49:39.0021434Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0021776Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0022107Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:49:39.0022424Z     s5 = self.down4(s4)
2025-10-10T00:49:39.0022711Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:39.0023059Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0023221Z 
2025-10-10T00:49:39.0023327Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0023697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0024066Z     return mod(*inputs)
2025-10-10T00:49:39.0024381Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0024743Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0025075Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:49:39.0025393Z     s5 = self.down4(s4)
2025-10-10T00:49:39.0025679Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:39.0026039Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0026203Z 
2025-10-10T00:49:39.0026312Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0026695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0027040Z     return mod(*inputs)
2025-10-10T00:49:39.0027344Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0027695Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0028030Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:49:39.0028348Z     s5 = self.down4(s4)
2025-10-10T00:49:39.0028633Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:39.0029000Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:39.0029169Z 
2025-10-10T00:49:39.0029279Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0029674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0030030Z     return mod(*inputs)
2025-10-10T00:49:39.0030345Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0030700Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0031038Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:49:39.0031369Z     x = self.down5(s5)
2025-10-10T00:49:39.0031713Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:49:39.0032098Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:49:39.0032222Z 
2025-10-10T00:49:39.0032332Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0032708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0033054Z     return mod(*inputs)
2025-10-10T00:49:39.0033348Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0033699Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0034037Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:49:39.0034368Z     x = self.down5(s5)
2025-10-10T00:49:39.0034670Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:39.0035033Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0035202Z 
2025-10-10T00:49:39.0035316Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0035701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0036047Z     return mod(*inputs)
2025-10-10T00:49:39.0036352Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0036707Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0037036Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:49:39.0037365Z     x = self.down5(s5)
2025-10-10T00:49:39.0037660Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:49:39.0038017Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0038187Z 
2025-10-10T00:49:39.0038296Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0038684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0039033Z     return mod(*inputs)
2025-10-10T00:49:39.0039337Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0039687Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0040026Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:49:39.0040351Z     x = self.down5(s5)
2025-10-10T00:49:39.0040645Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:39.0041003Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:39.0041171Z 
2025-10-10T00:49:39.0041280Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0041665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0042034Z     return mod(*inputs)
2025-10-10T00:49:39.0042337Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0042688Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0043032Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:49:39.0043358Z     x = self.up1(x, s5)
2025-10-10T00:49:39.0043654Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:39.0044010Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0044181Z 
2025-10-10T00:49:39.0044291Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0044676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0045042Z     return mod(*inputs)
2025-10-10T00:49:39.0045348Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0045698Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0046085Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:49:39.0046426Z     x = self.up1(x, s5)
2025-10-10T00:49:39.0046764Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:39.0047122Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0047289Z 
2025-10-10T00:49:39.0047399Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0047784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0048126Z     return mod(*inputs)
2025-10-10T00:49:39.0048435Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0048783Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0049125Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:49:39.0049450Z     s5 = self.down4(s4)
2025-10-10T00:49:39.0049747Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:39.0050106Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:39.0050275Z 
2025-10-10T00:49:39.0050384Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0050765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0051105Z     return mod(*inputs)
2025-10-10T00:49:39.0051421Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0051765Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0052106Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:49:39.0052434Z     x = self.up1(x, s5)
2025-10-10T00:49:39.0052724Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0053224Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0053458Z 
2025-10-10T00:49:39.0053549Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0053817Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0054199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0054548Z     return mod(*inputs)
2025-10-10T00:49:39.0054856Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0055205Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0055546Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:49:39.0055871Z     x = self.up1(x, s5)
2025-10-10T00:49:39.0056171Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0056578Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0056788Z 
2025-10-10T00:49:39.0056909Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0057281Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0057629Z     return mod(*inputs)
2025-10-10T00:49:39.0057936Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0058286Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0058624Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:49:39.0058948Z     x = self.up2(x, s4)
2025-10-10T00:49:39.0059245Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:39.0059605Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0059766Z 
2025-10-10T00:49:39.0060025Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0060515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0060869Z     return mod(*inputs)
2025-10-10T00:49:39.0061216Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0061564Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0061907Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:49:39.0062225Z     x = self.up2(x, s4)
2025-10-10T00:49:39.0062526Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:39.0062885Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0063046Z 
2025-10-10T00:49:39.0063167Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0063550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0063897Z     return mod(*inputs)
2025-10-10T00:49:39.0064208Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0064555Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0064897Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:49:39.0065217Z     s4 = self.down3(s3)
2025-10-10T00:49:39.0065518Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:39.0065886Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:39.0066044Z 
2025-10-10T00:49:39.0066163Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0066546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0066902Z     return mod(*inputs)
2025-10-10T00:49:39.0067209Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0067552Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0067890Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:49:39.0068209Z     x = self.up2(x, s4)
2025-10-10T00:49:39.0068510Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0068917Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0069123Z 
2025-10-10T00:49:39.0069217Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0069468Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0069868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0070211Z     return mod(*inputs)
2025-10-10T00:49:39.0070507Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0070851Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0071171Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:49:39.0071490Z     x = self.up2(x, s4)
2025-10-10T00:49:39.0071778Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0072171Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0072370Z 
2025-10-10T00:49:39.0072478Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0072864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0073206Z     return mod(*inputs)
2025-10-10T00:49:39.0073501Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0073853Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0074173Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:49:39.0074487Z     x = self.up3(x, s3)
2025-10-10T00:49:39.0074819Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:39.0075172Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0075364Z 
2025-10-10T00:49:39.0075471Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0075853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0076185Z     return mod(*inputs)
2025-10-10T00:49:39.0076482Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0076809Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0077137Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:49:39.0077457Z     x = self.up3(x, s3)
2025-10-10T00:49:39.0077749Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:39.0078096Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0078252Z 
2025-10-10T00:49:39.0078360Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0078732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0079072Z     return mod(*inputs)
2025-10-10T00:49:39.0079372Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0079704Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0080046Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:49:39.0080364Z     s3 = self.down2(s2)
2025-10-10T00:49:39.0080654Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:39.0081002Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:39.0081159Z 
2025-10-10T00:49:39.0081264Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0081637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0081974Z     return mod(*inputs)
2025-10-10T00:49:39.0082270Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0082603Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0082930Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:49:39.0083251Z     x = self.up3(x, s3)
2025-10-10T00:49:39.0083539Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0083928Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0084128Z 
2025-10-10T00:49:39.0084212Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0084463Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0084836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0085174Z     return mod(*inputs)
2025-10-10T00:49:39.0085464Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0085802Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0086127Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:49:39.0086443Z     x = self.up3(x, s3)
2025-10-10T00:49:39.0086729Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0087107Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0087313Z 
2025-10-10T00:49:39.0087418Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0087787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0088123Z     return mod(*inputs)
2025-10-10T00:49:39.0088413Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0088792Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0089123Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:49:39.0089479Z     x = self.up4(x, s2)
2025-10-10T00:49:39.0089773Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:39.0090249Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0090423Z 
2025-10-10T00:49:39.0090532Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0090918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0091274Z     return mod(*inputs)
2025-10-10T00:49:39.0091589Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0091932Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0092268Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:49:39.0092607Z     x = self.up4(x, s2)
2025-10-10T00:49:39.0092903Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:39.0093335Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0093509Z 
2025-10-10T00:49:39.0093621Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0094007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0094355Z     return mod(*inputs)
2025-10-10T00:49:39.0094652Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0094998Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0095338Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:49:39.0095666Z     s2 = self.down1(s1)
2025-10-10T00:49:39.0095962Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:49:39.0096330Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:39.0096507Z 
2025-10-10T00:49:39.0096619Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0097002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0097346Z     return mod(*inputs)
2025-10-10T00:49:39.0097645Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0097994Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0098330Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:49:39.0098657Z     x = self.up4(x, s2)
2025-10-10T00:49:39.0098949Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0099360Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0099575Z 
2025-10-10T00:49:39.0099663Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0099922Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0100313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0100656Z     return mod(*inputs)
2025-10-10T00:49:39.0100967Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0101319Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0101656Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:49:39.0101975Z     x = self.up4(x, s2)
2025-10-10T00:49:39.0102274Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0102681Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0102888Z 
2025-10-10T00:49:39.0103005Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0103477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0103884Z     return mod(*inputs)
2025-10-10T00:49:39.0104193Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0104539Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0104876Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:49:39.0105196Z     x = self.up5(x, s1)
2025-10-10T00:49:39.0105500Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:39.0105858Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0106020Z 
2025-10-10T00:49:39.0106142Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0106524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0106873Z     return mod(*inputs)
2025-10-10T00:49:39.0107178Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0107520Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0107848Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:49:39.0108162Z     x = self.up5(x, s1)
2025-10-10T00:49:39.0108453Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:49:39.0108797Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:49:39.0108952Z 
2025-10-10T00:49:39.0109065Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0109434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0109777Z     return mod(*inputs)
2025-10-10T00:49:39.0110076Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0110431Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0110756Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-10-10T00:49:39.0111108Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:49:39.0111278Z 
2025-10-10T00:49:39.0111385Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0111767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0112112Z     return mod(*inputs)
2025-10-10T00:49:39.0112411Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0112762Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0113091Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:49:39.0113411Z     x = self.up5(x, s1)
2025-10-10T00:49:39.0113704Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0114090Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0114308Z 
2025-10-10T00:49:39.0114394Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0114655Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0115038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0115392Z     return mod(*inputs)
2025-10-10T00:49:39.0115693Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0116053Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0116380Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:49:39.0116696Z     x = self.up5(x, s1)
2025-10-10T00:49:39.0116979Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0117478Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0117750Z 
2025-10-10T00:49:39.0117864Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0118301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0118681Z     return mod(*inputs)
2025-10-10T00:49:39.0118974Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0119314Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0119645Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:49:39.0119962Z     x = self.up5(x, s1)
2025-10-10T00:49:39.0120245Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:49:39.0120638Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:49:39.0120847Z 
2025-10-10T00:49:39.0120954Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0121334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0121673Z     return mod(*inputs)
2025-10-10T00:49:39.0121968Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:49:39.0122306Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:49:39.0122637Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-10-10T00:49:39.0122986Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-10-10T00:49:39.0123145Z 
2025-10-10T00:49:39.0123253Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0123626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0123961Z     return mod(*inputs)
2025-10-10T00:49:39.0124260Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 57, in forward
2025-10-10T00:49:39.0124610Z     V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :])
2025-10-10T00:49:39.0124754Z 
2025-10-10T00:49:39.0124863Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0125238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0125574Z     return mod(*inputs)
2025-10-10T00:49:39.0125873Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 61, in forward
2025-10-10T00:49:39.0126227Z     g_I0_F_t_0_f = self.trainFlowBackWarp(I0, F_t_0_f)
2025-10-10T00:49:39.0126580Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:49:39.0126911Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:49:39.0127043Z 
2025-10-10T00:49:39.0127157Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0127536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0127893Z     return mod(*inputs)
2025-10-10T00:49:39.0128202Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 62, in forward
2025-10-10T00:49:39.0128565Z     g_I1_F_t_1_f = self.trainFlowBackWarp(I1, F_t_1_f)
2025-10-10T00:49:39.0128913Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:49:39.0129232Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:49:39.0129373Z 
2025-10-10T00:49:39.0129480Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0129861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0130214Z     return mod(*inputs)
2025-10-10T00:49:39.0130522Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 79, in forward
2025-10-10T00:49:39.0130905Z     + L1_lossFn(self.trainFlowBackWarp(I0, F_1_0), I1)
2025-10-10T00:49:39.0131273Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:49:39.0131667Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:49:39.0131806Z 
2025-10-10T00:49:39.0131922Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0132347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0132709Z     return mod(*inputs)
2025-10-10T00:49:39.0133018Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0133563Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0133802Z 
2025-10-10T00:49:39.0133922Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0134321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0134740Z     return mod(*inputs)
2025-10-10T00:49:39.0135045Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0135486Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0135701Z 
2025-10-10T00:49:39.0135822Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0136197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0136546Z     return mod(*inputs)
2025-10-10T00:49:39.0136850Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0137283Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0137506Z 
2025-10-10T00:49:39.0137617Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0138014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0138353Z     return mod(*inputs)
2025-10-10T00:49:39.0138657Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0139073Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0139291Z 
2025-10-10T00:49:39.0139399Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0139783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0140124Z     return mod(*inputs)
2025-10-10T00:49:39.0140424Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0140828Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0141051Z 
2025-10-10T00:49:39.0141159Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0141537Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0141879Z     return mod(*inputs)
2025-10-10T00:49:39.0142192Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0142599Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0142605Z 
2025-10-10T00:49:39.0142722Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0142932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0143008Z     return mod(*inputs)
2025-10-10T00:49:39.0143207Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0143363Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0143374Z 
2025-10-10T00:49:39.0143484Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0143696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0143773Z     return mod(*inputs)
2025-10-10T00:49:39.0144039Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0144212Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0144257Z 
2025-10-10T00:49:39.0144365Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0144572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0144650Z     return mod(*inputs)
2025-10-10T00:49:39.0144846Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0145004Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0145008Z 
2025-10-10T00:49:39.0145116Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0145322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0145402Z     return mod(*inputs)
2025-10-10T00:49:39.0145611Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0145773Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0145780Z 
2025-10-10T00:49:39.0145892Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0146114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0146187Z     return mod(*inputs)
2025-10-10T00:49:39.0146389Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0146553Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0146557Z 
2025-10-10T00:49:39.0146670Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0146891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0146964Z     return mod(*inputs)
2025-10-10T00:49:39.0147170Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0147332Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0147338Z 
2025-10-10T00:49:39.0147451Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0147670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0147742Z     return mod(*inputs)
2025-10-10T00:49:39.0147956Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0148111Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0148115Z 
2025-10-10T00:49:39.0148226Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0148446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0148534Z     return mod(*inputs)
2025-10-10T00:49:39.0148744Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0148901Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0148905Z 
2025-10-10T00:49:39.0149016Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0149235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0149306Z     return mod(*inputs)
2025-10-10T00:49:39.0149511Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0149665Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0149669Z 
2025-10-10T00:49:39.0149789Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0150002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0150073Z     return mod(*inputs)
2025-10-10T00:49:39.0150322Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0150519Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0150523Z 
2025-10-10T00:49:39.0150638Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0150856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0150924Z     return mod(*inputs)
2025-10-10T00:49:39.0151128Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0151276Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0151280Z 
2025-10-10T00:49:39.0151395Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0151613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0151684Z     return mod(*inputs)
2025-10-10T00:49:39.0151890Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0152041Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0152046Z 
2025-10-10T00:49:39.0152163Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0152379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0152454Z     return mod(*inputs)
2025-10-10T00:49:39.0152650Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0152800Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0152804Z 
2025-10-10T00:49:39.0152918Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0153141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0153219Z     return mod(*inputs)
2025-10-10T00:49:39.0153416Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0153569Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0153582Z 
2025-10-10T00:49:39.0153690Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0153908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0153985Z     return mod(*inputs)
2025-10-10T00:49:39.0154180Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0154342Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0154346Z 
2025-10-10T00:49:39.0154453Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0154670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0154751Z     return mod(*inputs)
2025-10-10T00:49:39.0154946Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0155108Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0155112Z 
2025-10-10T00:49:39.0155220Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0155436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0155513Z     return mod(*inputs)
2025-10-10T00:49:39.0155709Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0155866Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0155870Z 
2025-10-10T00:49:39.0155977Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0156251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0156323Z     return mod(*inputs)
2025-10-10T00:49:39.0156562Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0156721Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0156724Z 
2025-10-10T00:49:39.0156831Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0157057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0157125Z     return mod(*inputs)
2025-10-10T00:49:39.0157319Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0157476Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0157479Z 
2025-10-10T00:49:39.0157587Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0157810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0157878Z     return mod(*inputs)
2025-10-10T00:49:39.0158084Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0158233Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0158237Z 
2025-10-10T00:49:39.0158325Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0158419Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0158528Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0158764Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0158831Z     return mod(*inputs)
2025-10-10T00:49:39.0159020Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 80, in forward
2025-10-10T00:49:39.0159132Z     + L1_lossFn(self.trainFlowBackWarp(I1, F_0_1), I0)
2025-10-10T00:49:39.0159324Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:49:39.0159413Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:49:39.0159416Z 
2025-10-10T00:49:39.0159499Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0159605Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0159814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0159880Z     return mod(*inputs)
2025-10-10T00:49:39.0160075Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0160220Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0160224Z 
2025-10-10T00:49:39.0160334Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0160535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0160601Z     return mod(*inputs)
2025-10-10T00:49:39.0160800Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0160947Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0160951Z 
2025-10-10T00:49:39.0161061Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0161261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0161327Z     return mod(*inputs)
2025-10-10T00:49:39.0161528Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0161676Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0161679Z 
2025-10-10T00:49:39.0161793Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0162004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0162113Z     return mod(*inputs)
2025-10-10T00:49:39.0162314Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0162502Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0162506Z 
2025-10-10T00:49:39.0162619Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0162820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0162896Z     return mod(*inputs)
2025-10-10T00:49:39.0163086Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0163233Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0163236Z 
2025-10-10T00:49:39.0163346Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0163546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0163621Z     return mod(*inputs)
2025-10-10T00:49:39.0163811Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0163959Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0163969Z 
2025-10-10T00:49:39.0164072Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0164273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0164344Z     return mod(*inputs)
2025-10-10T00:49:39.0164541Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0164698Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0164702Z 
2025-10-10T00:49:39.0164809Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0165019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0165098Z     return mod(*inputs)
2025-10-10T00:49:39.0165298Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0165456Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0165460Z 
2025-10-10T00:49:39.0165567Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0165774Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0165860Z     return mod(*inputs)
2025-10-10T00:49:39.0166052Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0166206Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0166209Z 
2025-10-10T00:49:39.0166313Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0166527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0166595Z     return mod(*inputs)
2025-10-10T00:49:39.0166789Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0166942Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0166945Z 
2025-10-10T00:49:39.0167053Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0167269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0167338Z     return mod(*inputs)
2025-10-10T00:49:39.0167533Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0167692Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0167695Z 
2025-10-10T00:49:39.0167802Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0168059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0168169Z     return mod(*inputs)
2025-10-10T00:49:39.0168366Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:49:39.0168524Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:49:39.0168528Z 
2025-10-10T00:49:39.0168612Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0168702Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0168783Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0168872Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0168954Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.0169062Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.0169277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:39.0169346Z     return mod(*inputs)
2025-10-10T00:49:39.0169552Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 94, in forward
2025-10-10T00:49:39.0169693Z     loss = 204 * recnLoss + 102 * warpLoss + 0.005 * prcpLoss + loss_smooth
2025-10-10T00:49:39.0169697Z 
2025-10-10T00:50:07.9066336Z Compilation time (from dynamo_timed): 55.336406161
2025-10-10T00:50:07.9069344Z pass
2025-10-10T00:50:07.9070432Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:07.9071475Z TIMING: _recursive_pre_grad_passes:0.00844 _recursive_joint_graph_passes:0.34675 _recursive_post_grad_passes:0.21934 async_compile.wait:1.83634 code_gen:27.12403 inductor_compile:33.45288 backend_compile:47.22883 gc:0.0014 entire_frame_compile:55.33641 total_wall_time:55.33641
2025-10-10T00:50:07.9074678Z STATS: call_* op count: 374 | FakeTensorMode.__torch_dispatch__:12764 | attempt fast:353 | fast is_contiguous:290 | FakeTensor.__torch_dispatch__:9374 | slow no contiguity match:63 | ProxyTorchDispatchMode.__torch_dispatch__:3330
2025-10-10T00:50:07.9075399Z Dynamo produced 1 graphs covering 374 ops with 0 graph breaks (0 unique)
2025-10-10T00:50:12.8019257Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:50:12.8020162Z   import pynvml  # type: ignore[import]
2025-10-10T00:50:15.0387274Z 
2025-10-10T00:50:15.4591602Z 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
2025-10-10T00:50:15.4830907Z 
2025-10-10T00:50:15.4831164Z 
2025-10-10T00:50:15.5843733Z   0% 0.00/233M [00:00<?, ?B/s]
2025-10-10T00:50:15.5843981Z 
2025-10-10T00:50:15.6841054Z  13% 30.1M/233M [00:00<00:00, 314MB/s]
2025-10-10T00:50:15.6841281Z 
2025-10-10T00:50:15.7846792Z  29% 68.1M/233M [00:00<00:00, 363MB/s]
2025-10-10T00:50:15.7847023Z 
2025-10-10T00:50:15.8851684Z  45% 105M/233M [00:00<00:00, 374MB/s] 
2025-10-10T00:50:15.8851956Z 
2025-10-10T00:50:15.9889606Z  62% 145M/233M [00:00<00:00, 391MB/s]
2025-10-10T00:50:15.9889838Z 
2025-10-10T00:50:16.0893511Z  78% 183M/233M [00:00<00:00, 387MB/s]
2025-10-10T00:50:16.0893746Z 
2025-10-10T00:50:16.1295431Z  94% 220M/233M [00:00<00:00, 387MB/s]
2025-10-10T00:50:16.1295801Z 100% 233M/233M [00:00<00:00, 378MB/s]
2025-10-10T00:50:16.4416005Z 
2025-10-10T00:50:16.4416476Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:50:16.4416835Z cpu  eval  alexnet                            
2025-10-10T00:50:16.6049666Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:16.6468419Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:16.6977168Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:20.8490455Z cudagraph partition due to non gpu ops
2025-10-10T00:50:20.8491242Z cudagraph partition due to non gpu ops
2025-10-10T00:50:20.8491477Z cudagraph partition due to non gpu ops
2025-10-10T00:50:20.8491687Z cudagraph partition due to non gpu ops
2025-10-10T00:50:20.8491921Z cudagraph partition due to non gpu ops
2025-10-10T00:50:20.8492147Z cudagraph partition due to non gpu ops
2025-10-10T00:50:20.8494295Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8503387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8505996Z     return mod(*inputs)
2025-10-10T00:50:20.8509138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:50:20.8509593Z     x = self.features(x)
2025-10-10T00:50:20.8509718Z 
2025-10-10T00:50:20.8509840Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8510263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8510625Z     return mod(*inputs)
2025-10-10T00:50:20.8510979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:50:20.8511346Z     x = self.features(x)
2025-10-10T00:50:20.8511468Z 
2025-10-10T00:50:20.8511578Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8511967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8512311Z     return mod(*inputs)
2025-10-10T00:50:20.8512661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:50:20.8513024Z     x = self.features(x)
2025-10-10T00:50:20.8513144Z 
2025-10-10T00:50:20.8513254Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8513644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8514015Z     return mod(*inputs)
2025-10-10T00:50:20.8514357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:50:20.8514724Z     x = self.features(x)
2025-10-10T00:50:20.8514838Z 
2025-10-10T00:50:20.8514947Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8515328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8515717Z     return mod(*inputs)
2025-10-10T00:50:20.8516072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:50:20.8516438Z     x = self.features(x)
2025-10-10T00:50:20.8516546Z 
2025-10-10T00:50:20.8516663Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8517048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8517376Z     return mod(*inputs)
2025-10-10T00:50:20.8517719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:50:20.8518084Z     x = self.features(x)
2025-10-10T00:50:20.8518193Z 
2025-10-10T00:50:20.8518311Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8518677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8519113Z     return mod(*inputs)
2025-10-10T00:50:20.8519436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:50:20.8519781Z     x = self.features(x)
2025-10-10T00:50:20.8519881Z 
2025-10-10T00:50:20.8519990Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8520336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8520875Z     return mod(*inputs)
2025-10-10T00:50:20.8521206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:50:20.8521603Z     x = self.features(x)
2025-10-10T00:50:20.8521706Z 
2025-10-10T00:50:20.8521806Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8522165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8522481Z     return mod(*inputs)
2025-10-10T00:50:20.8522802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:50:20.8523149Z     x = self.features(x)
2025-10-10T00:50:20.8523252Z 
2025-10-10T00:50:20.8523355Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8523731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8524069Z     return mod(*inputs)
2025-10-10T00:50:20.8524391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:50:20.8524730Z     x = self.features(x)
2025-10-10T00:50:20.8524842Z 
2025-10-10T00:50:20.8524942Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8525298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8525634Z     return mod(*inputs)
2025-10-10T00:50:20.8525975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 49, in forward
2025-10-10T00:50:20.8526340Z     x = self.avgpool(x)
2025-10-10T00:50:20.8526452Z 
2025-10-10T00:50:20.8526559Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8526932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8527266Z     return mod(*inputs)
2025-10-10T00:50:20.8527604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-10-10T00:50:20.8527974Z     x = self.classifier(x)
2025-10-10T00:50:20.8528103Z 
2025-10-10T00:50:20.8528210Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8528589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8528921Z     return mod(*inputs)
2025-10-10T00:50:20.8529250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-10-10T00:50:20.8529619Z     x = self.classifier(x)
2025-10-10T00:50:20.8529746Z 
2025-10-10T00:50:20.8529855Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8530239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8530599Z     return mod(*inputs)
2025-10-10T00:50:20.8530952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-10-10T00:50:20.8531331Z     x = self.classifier(x)
2025-10-10T00:50:20.8531506Z 
2025-10-10T00:50:20.8531631Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8532019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8532362Z     return mod(*inputs)
2025-10-10T00:50:20.8532852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-10-10T00:50:20.8533604Z     x = self.classifier(x)
2025-10-10T00:50:20.8533728Z 
2025-10-10T00:50:20.8533848Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:20.8534239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:20.8534603Z     return mod(*inputs)
2025-10-10T00:50:20.8534965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-10-10T00:50:20.8535366Z     x = self.classifier(x)
2025-10-10T00:50:20.8535477Z 
2025-10-10T00:50:31.5022399Z Compilation time (from dynamo_timed): 13.708702189
2025-10-10T00:50:31.5023012Z pass
2025-10-10T00:50:31.5023320Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:31.5024454Z TIMING: _recursive_pre_grad_passes:0.00378 _recursive_joint_graph_passes:0.15005 _recursive_post_grad_passes:0.0181 async_compile.wait:0.75562 code_gen:10.57626 inductor_compile:10.88796 backend_compile:13.20312 gc:0.00094 entire_frame_compile:13.7087 total_wall_time:13.7087
2025-10-10T00:50:31.5025514Z STATS: call_* op count: 22 | FakeTensorMode.__torch_dispatch__:1209 | FakeTensor.__torch_dispatch__:165 | attempt fast:41 | fast is_contiguous:41 | ProxyTorchDispatchMode.__torch_dispatch__:106
2025-10-10T00:50:31.5026114Z Dynamo produced 1 graphs covering 22 ops with 0 graph breaks (0 unique)
2025-10-10T00:50:33.4763413Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:50:33.4764901Z   import pynvml  # type: ignore[import]
2025-10-10T00:50:35.7619796Z 
2025-10-10T00:50:37.5748643Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:37.5748948Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:50:37.5749213Z cpu  eval  basic_gnn_edgecnn                  
2025-10-10T00:50:38.0788435Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:38.3516996Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:38.6194868Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:40.0692716Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0693369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0693759Z     return mod(*inputs)
2025-10-10T00:50:40.0694176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0694593Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0694858Z   File "/tmp/jenkins_pyg/tmptsuyw785.py", line 233, in forward
2025-10-10T00:50:40.0695227Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0695536Z   File "/tmp/jenkins_pyg/tmptsuyw785.py", line 192, in propagate
2025-10-10T00:50:40.0695923Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-10-10T00:50:40.0696460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:40.0696945Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:40.0697390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:40.0697832Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:40.0698277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-10-10T00:50:40.0698719Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-10-10T00:50:40.0699141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:40.0699539Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:40.0699939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-10-10T00:50:40.0700330Z     return src.new_zeros(size).scatter_reduce_(
2025-10-10T00:50:40.0700490Z 
2025-10-10T00:50:40.0700606Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0701347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0701805Z     return mod(*inputs)
2025-10-10T00:50:40.0702182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0702590Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0702846Z   File "/tmp/jenkins_pyg/tmp1ileexph.py", line 233, in forward
2025-10-10T00:50:40.0703134Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0703439Z   File "/tmp/jenkins_pyg/tmp1ileexph.py", line 192, in propagate
2025-10-10T00:50:40.0703808Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-10-10T00:50:40.0704346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:40.0704836Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:40.0705272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:40.0705716Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:40.0706141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-10-10T00:50:40.0706570Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-10-10T00:50:40.0706994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:40.0707398Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:40.0707791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-10-10T00:50:40.0708184Z     return src.new_zeros(size).scatter_reduce_(
2025-10-10T00:50:40.0708336Z 
2025-10-10T00:50:40.0708450Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0708849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0709199Z     return mod(*inputs)
2025-10-10T00:50:40.0709569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0709956Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0710213Z   File "/tmp/jenkins_pyg/tmpe4c_im3k.py", line 233, in forward
2025-10-10T00:50:40.0710493Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0710778Z   File "/tmp/jenkins_pyg/tmpe4c_im3k.py", line 192, in propagate
2025-10-10T00:50:40.0711138Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-10-10T00:50:40.0711680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:40.0712128Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:40.0712541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:40.0712946Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:40.0713361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-10-10T00:50:40.0713781Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-10-10T00:50:40.0714198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:40.0714601Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:40.0714993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-10-10T00:50:40.0715374Z     return src.new_zeros(size).scatter_reduce_(
2025-10-10T00:50:40.0715532Z 
2025-10-10T00:50:40.0715695Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0716126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0716493Z     return mod(*inputs)
2025-10-10T00:50:40.0716867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0717265Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0717528Z   File "/tmp/jenkins_pyg/tmptsuyw785.py", line 233, in forward
2025-10-10T00:50:40.0717824Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0718128Z   File "/tmp/jenkins_pyg/tmptsuyw785.py", line 191, in propagate
2025-10-10T00:50:40.0718412Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0718831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0719323Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0719488Z 
2025-10-10T00:50:40.0719601Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0719977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0720317Z     return mod(*inputs)
2025-10-10T00:50:40.0720674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0721067Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0721314Z   File "/tmp/jenkins_pyg/tmptsuyw785.py", line 233, in forward
2025-10-10T00:50:40.0721592Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0721879Z   File "/tmp/jenkins_pyg/tmptsuyw785.py", line 191, in propagate
2025-10-10T00:50:40.0722165Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0722569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0722958Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0723338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:50:40.0723683Z     x = lin(x)
2025-10-10T00:50:40.0724009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:50:40.0724405Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:50:40.0724561Z 
2025-10-10T00:50:40.0724672Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0725048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0725390Z     return mod(*inputs)
2025-10-10T00:50:40.0725747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0726138Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0726390Z   File "/tmp/jenkins_pyg/tmptsuyw785.py", line 233, in forward
2025-10-10T00:50:40.0726672Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0726944Z   File "/tmp/jenkins_pyg/tmptsuyw785.py", line 191, in propagate
2025-10-10T00:50:40.0727223Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0727663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0728084Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0728483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:50:40.0728862Z     x = self.act(x)
2025-10-10T00:50:40.0728978Z 
2025-10-10T00:50:40.0729090Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0729526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0729884Z     return mod(*inputs)
2025-10-10T00:50:40.0730253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0730690Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0730945Z   File "/tmp/jenkins_pyg/tmptsuyw785.py", line 233, in forward
2025-10-10T00:50:40.0731224Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0731509Z   File "/tmp/jenkins_pyg/tmptsuyw785.py", line 191, in propagate
2025-10-10T00:50:40.0731798Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0732217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0732639Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0733509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:50:40.0733913Z     x = self.lins[-1](x)
2025-10-10T00:50:40.0734306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:50:40.0734722Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:50:40.0734877Z 
2025-10-10T00:50:40.0734974Z cudagraph partition due to non gpu ops
2025-10-10T00:50:40.0735224Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0735617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0735966Z     return mod(*inputs)
2025-10-10T00:50:40.0736332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0736739Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0736990Z   File "/tmp/jenkins_pyg/tmp1ileexph.py", line 233, in forward
2025-10-10T00:50:40.0737274Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0737566Z   File "/tmp/jenkins_pyg/tmp1ileexph.py", line 191, in propagate
2025-10-10T00:50:40.0737860Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0738271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0738700Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0738873Z 
2025-10-10T00:50:40.0738983Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0739369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0739737Z     return mod(*inputs)
2025-10-10T00:50:40.0740096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0740518Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0740774Z   File "/tmp/jenkins_pyg/tmp1ileexph.py", line 233, in forward
2025-10-10T00:50:40.0741061Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0741347Z   File "/tmp/jenkins_pyg/tmp1ileexph.py", line 191, in propagate
2025-10-10T00:50:40.0741633Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0742051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0742481Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0742880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:50:40.0743256Z     x = lin(x)
2025-10-10T00:50:40.0743593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:50:40.0743986Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:50:40.0744130Z 
2025-10-10T00:50:40.0744242Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0744725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0745113Z     return mod(*inputs)
2025-10-10T00:50:40.0745480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0745924Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0746177Z   File "/tmp/jenkins_pyg/tmp1ileexph.py", line 233, in forward
2025-10-10T00:50:40.0746453Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0746738Z   File "/tmp/jenkins_pyg/tmp1ileexph.py", line 191, in propagate
2025-10-10T00:50:40.0747017Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0747399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0747792Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0748182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:50:40.0748556Z     x = self.act(x)
2025-10-10T00:50:40.0748655Z 
2025-10-10T00:50:40.0748771Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0749148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0749480Z     return mod(*inputs)
2025-10-10T00:50:40.0749839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0750233Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0750489Z   File "/tmp/jenkins_pyg/tmp1ileexph.py", line 233, in forward
2025-10-10T00:50:40.0750765Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0751054Z   File "/tmp/jenkins_pyg/tmp1ileexph.py", line 191, in propagate
2025-10-10T00:50:40.0751339Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0751744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0752158Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0752550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:50:40.0752922Z     x = self.lins[-1](x)
2025-10-10T00:50:40.0753278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:50:40.0753673Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:50:40.0753823Z 
2025-10-10T00:50:40.0753909Z cudagraph partition due to non gpu ops
2025-10-10T00:50:40.0754160Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0754534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0754878Z     return mod(*inputs)
2025-10-10T00:50:40.0755240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0755634Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0755886Z   File "/tmp/jenkins_pyg/tmpe4c_im3k.py", line 233, in forward
2025-10-10T00:50:40.0756165Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0756459Z   File "/tmp/jenkins_pyg/tmpe4c_im3k.py", line 191, in propagate
2025-10-10T00:50:40.0756731Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0757146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0757536Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0757686Z 
2025-10-10T00:50:40.0757797Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0758154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0758520Z     return mod(*inputs)
2025-10-10T00:50:40.0758887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0759328Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0759596Z   File "/tmp/jenkins_pyg/tmpe4c_im3k.py", line 233, in forward
2025-10-10T00:50:40.0759861Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0760136Z   File "/tmp/jenkins_pyg/tmpe4c_im3k.py", line 191, in propagate
2025-10-10T00:50:40.0760408Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0760809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0761238Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0761642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:50:40.0762020Z     x = lin(x)
2025-10-10T00:50:40.0762364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:50:40.0762771Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:50:40.0762926Z 
2025-10-10T00:50:40.0763040Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0763463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0763802Z     return mod(*inputs)
2025-10-10T00:50:40.0764164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0764628Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0764878Z   File "/tmp/jenkins_pyg/tmpe4c_im3k.py", line 233, in forward
2025-10-10T00:50:40.0765180Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0765463Z   File "/tmp/jenkins_pyg/tmpe4c_im3k.py", line 191, in propagate
2025-10-10T00:50:40.0765749Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0766151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0766571Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0766972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:50:40.0767351Z     x = self.act(x)
2025-10-10T00:50:40.0767449Z 
2025-10-10T00:50:40.0767561Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:40.0767930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:40.0768272Z     return mod(*inputs)
2025-10-10T00:50:40.0768639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:40.0769040Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:40.0769292Z   File "/tmp/jenkins_pyg/tmpe4c_im3k.py", line 233, in forward
2025-10-10T00:50:40.0769585Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:50:40.0769881Z   File "/tmp/jenkins_pyg/tmpe4c_im3k.py", line 191, in propagate
2025-10-10T00:50:40.0770171Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:50:40.0770588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:50:40.0771004Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:50:40.0771417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:50:40.0771800Z     x = self.lins[-1](x)
2025-10-10T00:50:40.0772170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:50:40.0772570Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:50:40.0772732Z 
2025-10-10T00:50:40.0772966Z cudagraph partition due to non gpu ops
2025-10-10T00:50:48.9658008Z Compilation time (from dynamo_timed): 10.160235226
2025-10-10T00:50:48.9658329Z pass
2025-10-10T00:50:48.9658627Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:48.9659488Z TIMING: _recursive_pre_grad_passes:0.00409 _recursive_joint_graph_passes:0.14801 _recursive_post_grad_passes:0.01979 async_compile.wait:0.49904 code_gen:8.66826 inductor_compile:8.77961 backend_compile:9.76322 gc:0.00016 entire_frame_compile:10.16024 total_wall_time:10.16024
2025-10-10T00:50:48.9660411Z STATS: call_* op count: 55 | FakeTensorMode.__torch_dispatch__:964 | FakeTensor.__torch_dispatch__:299 | ProxyTorchDispatchMode.__torch_dispatch__:198
2025-10-10T00:50:48.9660967Z Dynamo produced 1 graphs covering 55 ops with 0 graph breaks (0 unique)
2025-10-10T00:50:50.8513631Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:50:50.8514548Z   import pynvml  # type: ignore[import]
2025-10-10T00:50:53.1388995Z 
2025-10-10T00:50:54.8461336Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:54.8461692Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:50:54.8462454Z cpu  eval  basic_gnn_gcn                      
2025-10-10T00:50:55.0003306Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:55.0848077Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:55.1636847Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:56.3776014Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:56.3776955Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/loop.py", line 340, in add_remaining_self_loops
2025-10-10T00:50:56.3777717Z     mask = edge_index[0] != edge_index[1]
2025-10-10T00:50:56.3777959Z 
2025-10-10T00:50:56.3778134Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:56.3778908Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/loop.py", line 343, in add_remaining_self_loops
2025-10-10T00:50:56.3779569Z     loop_index = loop_index.unsqueeze(0).repeat(2, 1)
2025-10-10T00:50:56.3779836Z 
2025-10-10T00:51:05.0154932Z cudagraph partition due to non gpu ops
2025-10-10T00:51:05.0155281Z cudagraph partition due to non gpu ops
2025-10-10T00:51:05.0155556Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:05.0156157Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/loop.py", line 370, in torch_dynamo_resume_in_add_remaining_self_loops_at_370
2025-10-10T00:51:05.0156762Z     edge_index = torch.cat([edge_index[:, mask], loop_index], dim=1)
2025-10-10T00:51:05.0156966Z 
2025-10-10T00:51:05.6851323Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:05.6851972Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 100, in torch_dynamo_resume_in_gcn_norm_at_91
2025-10-10T00:51:05.6852553Z     deg = scatter(edge_weight, idx, dim=0, dim_size=num_nodes, reduce='sum')
2025-10-10T00:51:05.6853384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-10-10T00:51:05.6853849Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:51:05.6854044Z 
2025-10-10T00:51:05.6854168Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:05.6854678Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 95, in torch_dynamo_resume_in_gcn_norm_at_91
2025-10-10T00:51:05.6855697Z     edge_weight = torch.ones((edge_index.size(1), ), dtype=dtype,
2025-10-10T00:51:05.6855896Z 
2025-10-10T00:51:05.6856159Z cudagraph partition due to non gpu ops
2025-10-10T00:51:05.6856427Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:05.6856921Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 103, in torch_dynamo_resume_in_gcn_norm_at_91
2025-10-10T00:51:05.6857434Z     edge_weight = deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
2025-10-10T00:51:05.6857654Z 
2025-10-10T00:51:06.6632449Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:06.6632906Z    File "/tmp/jenkins_pyg/tmpj492ln4b.py", line 240, in torch_dynamo_resume_in_forward_at_221
2025-10-10T00:51:06.6633235Z     x = self.lin(x)
2025-10-10T00:51:06.6633639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:51:06.6634074Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:51:06.6634274Z 
2025-10-10T00:51:06.6634395Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:06.6634774Z    File "/tmp/jenkins_pyg/tmpj492ln4b.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-10-10T00:51:06.6635165Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-10-10T00:51:06.6635488Z   File "/tmp/jenkins_pyg/tmpj492ln4b.py", line 188, in propagate
2025-10-10T00:51:06.6635867Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-10-10T00:51:06.6636512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:06.6637027Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:06.6637490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:06.6637931Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:06.6638381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-10-10T00:51:06.6638870Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-10-10T00:51:06.6639309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:06.6639716Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:06.6640108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-10-10T00:51:06.6640529Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:51:06.6640760Z 
2025-10-10T00:51:06.6640874Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:06.6641226Z    File "/tmp/jenkins_pyg/tmpj492ln4b.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-10-10T00:51:06.6641611Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-10-10T00:51:06.6641924Z   File "/tmp/jenkins_pyg/tmpj492ln4b.py", line 187, in propagate
2025-10-10T00:51:06.6642268Z     out = self.message(edge_weight=kwargs.edge_weight, x_j=kwargs.x_j)
2025-10-10T00:51:06.6642772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message
2025-10-10T00:51:06.6643259Z     return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j
2025-10-10T00:51:06.6643456Z 
2025-10-10T00:51:06.6643547Z cudagraph partition due to non gpu ops
2025-10-10T00:51:06.6643804Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:06.6644158Z    File "/tmp/jenkins_pyg/tmpj492ln4b.py", line 247, in torch_dynamo_resume_in_forward_at_221
2025-10-10T00:51:06.6644489Z     out = out + self.bias
2025-10-10T00:51:06.6644606Z 
2025-10-10T00:51:07.9344160Z Compilation time (from dynamo_timed): 12.638771972
2025-10-10T00:51:07.9344665Z pass
2025-10-10T00:51:07.9345403Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:07.9347027Z TIMING: gc:0.00788 entire_frame_compile:12.63877 _recursive_pre_grad_passes:0.00628 _recursive_joint_graph_passes:0.14331 _recursive_post_grad_passes:0.02083 async_compile.wait:2.16362 code_gen:10.40923 inductor_compile:10.53301 backend_compile:11.56675 total_wall_time:12.63877
2025-10-10T00:51:07.9348180Z STATS: call_* op count: 57 | FakeTensorMode.__torch_dispatch__:846 | FakeTensor.__torch_dispatch__:179 | ProxyTorchDispatchMode.__torch_dispatch__:97
2025-10-10T00:51:07.9348713Z Dynamo produced 6 graphs covering 57 ops with 6 graph breaks (1 unique)
2025-10-10T00:51:09.7835666Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:51:09.7837127Z   import pynvml  # type: ignore[import]
2025-10-10T00:51:12.0398030Z 
2025-10-10T00:51:13.7281080Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:51:13.7283583Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:51:13.7284440Z cpu  eval  basic_gnn_gin                      
2025-10-10T00:51:13.8078937Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:13.8511653Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:13.8939048Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:15.3295805Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3298932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3299384Z     return mod(*inputs)
2025-10-10T00:51:15.3299885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3300330Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3300611Z   File "/tmp/jenkins_pyg/tmpu6zx49k2.py", line 225, in forward
2025-10-10T00:51:15.3300919Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:15.3301217Z   File "/tmp/jenkins_pyg/tmpu6zx49k2.py", line 182, in propagate
2025-10-10T00:51:15.3301656Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:15.3302174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:15.3302669Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:15.3303145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:15.3303594Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:15.3304038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-10-10T00:51:15.3304467Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-10-10T00:51:15.3304891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:15.3305285Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:15.3305682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-10-10T00:51:15.3306097Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:51:15.3306274Z 
2025-10-10T00:51:15.3306390Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3306776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3307122Z     return mod(*inputs)
2025-10-10T00:51:15.3307880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3308368Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3308631Z   File "/tmp/jenkins_pyg/tmpu6zx49k2.py", line 225, in forward
2025-10-10T00:51:15.3308915Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:15.3309204Z   File "/tmp/jenkins_pyg/tmpu6zx49k2.py", line 180, in propagate
2025-10-10T00:51:15.3309502Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:51:15.3309788Z   File "/tmp/jenkins_pyg/tmpu6zx49k2.py", line 127, in _collect
2025-10-10T00:51:15.3310049Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:51:15.3310300Z   File "/tmp/jenkins_pyg/tmpu6zx49k2.py", line 87, in _lift
2025-10-10T00:51:15.3310573Z     return src.index_select(self.node_dim, index)
2025-10-10T00:51:15.3310732Z 
2025-10-10T00:51:15.3310846Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3311238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3311584Z     return mod(*inputs)
2025-10-10T00:51:15.3311959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3312353Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3312600Z   File "/tmp/jenkins_pyg/tmpz3roo_jn.py", line 225, in forward
2025-10-10T00:51:15.3312879Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:15.3313163Z   File "/tmp/jenkins_pyg/tmpz3roo_jn.py", line 182, in propagate
2025-10-10T00:51:15.3313525Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:15.3314034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:15.3314510Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:15.3314949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:15.3315382Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:15.3315798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-10-10T00:51:15.3316218Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-10-10T00:51:15.3316631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:15.3317021Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:15.3317409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-10-10T00:51:15.3317882Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:51:15.3318065Z 
2025-10-10T00:51:15.3318179Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3318569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3318920Z     return mod(*inputs)
2025-10-10T00:51:15.3319328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3319726Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3319982Z   File "/tmp/jenkins_pyg/tmp5x7uin73.py", line 225, in forward
2025-10-10T00:51:15.3320264Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:15.3320539Z   File "/tmp/jenkins_pyg/tmp5x7uin73.py", line 182, in propagate
2025-10-10T00:51:15.3320941Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:15.3321456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:15.3321934Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:15.3322457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:15.3322949Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:15.3323375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-10-10T00:51:15.3323810Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-10-10T00:51:15.3324241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:15.3324638Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:15.3325042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-10-10T00:51:15.3325476Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:51:15.3325657Z 
2025-10-10T00:51:15.3325757Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.3326019Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3326404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3326759Z     return mod(*inputs)
2025-10-10T00:51:15.3327130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3327533Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3327787Z   File "/tmp/jenkins_pyg/tmpu6zx49k2.py", line 229, in forward
2025-10-10T00:51:15.3328050Z     out = out + (1 + self.eps) * x_r
2025-10-10T00:51:15.3328193Z 
2025-10-10T00:51:15.3328308Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3328695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3329048Z     return mod(*inputs)
2025-10-10T00:51:15.3329419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3329827Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3330085Z   File "/tmp/jenkins_pyg/tmpu6zx49k2.py", line 231, in forward
2025-10-10T00:51:15.3330358Z     return self.nn(out)
2025-10-10T00:51:15.3330710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:51:15.3331084Z     x = lin(x)
2025-10-10T00:51:15.3331430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:51:15.3331839Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:51:15.3331998Z 
2025-10-10T00:51:15.3332115Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3332502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3333070Z     return mod(*inputs)
2025-10-10T00:51:15.3333465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3333872Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3334124Z   File "/tmp/jenkins_pyg/tmpu6zx49k2.py", line 231, in forward
2025-10-10T00:51:15.3334379Z     return self.nn(out)
2025-10-10T00:51:15.3334734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:51:15.3335109Z     x = self.act(x)
2025-10-10T00:51:15.3335212Z 
2025-10-10T00:51:15.3335324Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3335719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3336077Z     return mod(*inputs)
2025-10-10T00:51:15.3336446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3336855Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3337192Z   File "/tmp/jenkins_pyg/tmpu6zx49k2.py", line 231, in forward
2025-10-10T00:51:15.3337483Z     return self.nn(out)
2025-10-10T00:51:15.3337839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:51:15.3338235Z     x = self.lins[-1](x)
2025-10-10T00:51:15.3338586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:51:15.3338981Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:51:15.3339140Z 
2025-10-10T00:51:15.3339250Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3339635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3339977Z     return mod(*inputs)
2025-10-10T00:51:15.3340326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3340716Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3340964Z   File "/tmp/jenkins_pyg/tmpz3roo_jn.py", line 225, in forward
2025-10-10T00:51:15.3341247Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:15.3341526Z   File "/tmp/jenkins_pyg/tmpz3roo_jn.py", line 180, in propagate
2025-10-10T00:51:15.3341831Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:51:15.3342122Z   File "/tmp/jenkins_pyg/tmpz3roo_jn.py", line 127, in _collect
2025-10-10T00:51:15.3342380Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:51:15.3342634Z   File "/tmp/jenkins_pyg/tmpz3roo_jn.py", line 87, in _lift
2025-10-10T00:51:15.3342894Z     return src.index_select(self.node_dim, index)
2025-10-10T00:51:15.3343055Z 
2025-10-10T00:51:15.3343140Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.3343392Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3343768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3344141Z     return mod(*inputs)
2025-10-10T00:51:15.3344508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3344892Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3345144Z   File "/tmp/jenkins_pyg/tmpz3roo_jn.py", line 229, in forward
2025-10-10T00:51:15.3345395Z     out = out + (1 + self.eps) * x_r
2025-10-10T00:51:15.3345523Z 
2025-10-10T00:51:15.3345639Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3346003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3346342Z     return mod(*inputs)
2025-10-10T00:51:15.3346701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3347089Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3347338Z   File "/tmp/jenkins_pyg/tmpz3roo_jn.py", line 231, in forward
2025-10-10T00:51:15.3347578Z     return self.nn(out)
2025-10-10T00:51:15.3347925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:51:15.3348288Z     x = lin(x)
2025-10-10T00:51:15.3348621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:51:15.3349008Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:51:15.3349164Z 
2025-10-10T00:51:15.3349273Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3349646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3349984Z     return mod(*inputs)
2025-10-10T00:51:15.3350343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3350731Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3351020Z   File "/tmp/jenkins_pyg/tmpz3roo_jn.py", line 231, in forward
2025-10-10T00:51:15.3351300Z     return self.nn(out)
2025-10-10T00:51:15.3351642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:51:15.3352001Z     x = self.act(x)
2025-10-10T00:51:15.3352107Z 
2025-10-10T00:51:15.3352216Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3352589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3352927Z     return mod(*inputs)
2025-10-10T00:51:15.3353287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3353689Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3353956Z   File "/tmp/jenkins_pyg/tmpz3roo_jn.py", line 231, in forward
2025-10-10T00:51:15.3354203Z     return self.nn(out)
2025-10-10T00:51:15.3354548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:51:15.3354916Z     x = self.lins[-1](x)
2025-10-10T00:51:15.3355271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:51:15.3355662Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:51:15.3355811Z 
2025-10-10T00:51:15.3355929Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3356323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3356665Z     return mod(*inputs)
2025-10-10T00:51:15.3357042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3357451Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3357706Z   File "/tmp/jenkins_pyg/tmp5x7uin73.py", line 225, in forward
2025-10-10T00:51:15.3358006Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:15.3358298Z   File "/tmp/jenkins_pyg/tmp5x7uin73.py", line 180, in propagate
2025-10-10T00:51:15.3358605Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:51:15.3358906Z   File "/tmp/jenkins_pyg/tmp5x7uin73.py", line 127, in _collect
2025-10-10T00:51:15.3359180Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:51:15.3359436Z   File "/tmp/jenkins_pyg/tmp5x7uin73.py", line 87, in _lift
2025-10-10T00:51:15.3359709Z     return src.index_select(self.node_dim, index)
2025-10-10T00:51:15.3359866Z 
2025-10-10T00:51:15.3359960Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.3360215Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3360597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3360946Z     return mod(*inputs)
2025-10-10T00:51:15.3361325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3361725Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3361978Z   File "/tmp/jenkins_pyg/tmp5x7uin73.py", line 229, in forward
2025-10-10T00:51:15.3362239Z     out = out + (1 + self.eps) * x_r
2025-10-10T00:51:15.3362379Z 
2025-10-10T00:51:15.3362491Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3362874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3363221Z     return mod(*inputs)
2025-10-10T00:51:15.3363583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3363981Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3364234Z   File "/tmp/jenkins_pyg/tmp5x7uin73.py", line 231, in forward
2025-10-10T00:51:15.3364487Z     return self.nn(out)
2025-10-10T00:51:15.3364876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:51:15.3365255Z     x = lin(x)
2025-10-10T00:51:15.3365633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:51:15.3366036Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:51:15.3366187Z 
2025-10-10T00:51:15.3366305Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3366681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3367025Z     return mod(*inputs)
2025-10-10T00:51:15.3367392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3367802Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3368046Z   File "/tmp/jenkins_pyg/tmp5x7uin73.py", line 231, in forward
2025-10-10T00:51:15.3368299Z     return self.nn(out)
2025-10-10T00:51:15.3368653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:51:15.3369032Z     x = self.act(x)
2025-10-10T00:51:15.3369130Z 
2025-10-10T00:51:15.3369238Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.3369612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.3369950Z     return mod(*inputs)
2025-10-10T00:51:15.3370309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:15.3370698Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:15.3370938Z   File "/tmp/jenkins_pyg/tmp5x7uin73.py", line 231, in forward
2025-10-10T00:51:15.3371183Z     return self.nn(out)
2025-10-10T00:51:15.3371520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:51:15.3371890Z     x = self.lins[-1](x)
2025-10-10T00:51:15.3372237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:51:15.3372634Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:51:15.3372793Z 
2025-10-10T00:51:24.0375264Z Compilation time (from dynamo_timed): 10.058356036
2025-10-10T00:51:24.0375602Z pass
2025-10-10T00:51:24.0375917Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:24.0376782Z TIMING: _recursive_pre_grad_passes:0.00374 _recursive_joint_graph_passes:0.14742 _recursive_post_grad_passes:0.01973 async_compile.wait:0.56364 code_gen:8.57065 inductor_compile:8.67782 backend_compile:9.66072 gc:0.0012 entire_frame_compile:10.05836 total_wall_time:10.05836
2025-10-10T00:51:24.0377920Z STATS: call_* op count: 52 | FakeTensorMode.__torch_dispatch__:881 | FakeTensor.__torch_dispatch__:296 | ProxyTorchDispatchMode.__torch_dispatch__:189
2025-10-10T00:51:24.0378496Z Dynamo produced 1 graphs covering 52 ops with 0 graph breaks (0 unique)
2025-10-10T00:51:25.9133007Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:51:25.9134585Z   import pynvml  # type: ignore[import]
2025-10-10T00:51:28.2062279Z 
2025-10-10T00:51:29.8922524Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:51:29.8922968Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:51:29.8924028Z cpu  eval  basic_gnn_sage                     
2025-10-10T00:51:29.9759813Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:30.0197926Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:30.0619415Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:31.4819892Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4820546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4820962Z     return mod(*inputs)
2025-10-10T00:51:31.4821384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4821807Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4822084Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 228, in forward
2025-10-10T00:51:31.4822394Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4822696Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 182, in propagate
2025-10-10T00:51:31.4823093Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4823696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4824225Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4824673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4825114Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4825550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4826007Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4826449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4826852Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4827251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-10-10T00:51:31.4827684Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:51:31.4827870Z 
2025-10-10T00:51:31.4827988Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4828389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4828741Z     return mod(*inputs)
2025-10-10T00:51:31.4829114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4829518Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4829778Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 228, in forward
2025-10-10T00:51:31.4830073Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4830360Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 180, in propagate
2025-10-10T00:51:31.4830651Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:51:31.4830951Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 127, in _collect
2025-10-10T00:51:31.4831235Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:51:31.4831494Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 87, in _lift
2025-10-10T00:51:31.4831768Z     return src.index_select(self.node_dim, index)
2025-10-10T00:51:31.4831938Z 
2025-10-10T00:51:31.4832052Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4832457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4832917Z     return mod(*inputs)
2025-10-10T00:51:31.4833305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4833716Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4833971Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 228, in forward
2025-10-10T00:51:31.4834261Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4834549Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 182, in propagate
2025-10-10T00:51:31.4834961Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4835553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4836027Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4836463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4836890Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4837315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4837751Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4838189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4838599Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4839017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:51:31.4839427Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:51:31.4839614Z 
2025-10-10T00:51:31.4839723Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4840106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4840457Z     return mod(*inputs)
2025-10-10T00:51:31.4840823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4841223Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4841477Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 228, in forward
2025-10-10T00:51:31.4841773Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4842053Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 182, in propagate
2025-10-10T00:51:31.4842408Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4842921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4843428Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4843870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4844330Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4844767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4845193Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4845629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4846034Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4846433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:51:31.4846850Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:51:31.4847030Z 
2025-10-10T00:51:31.4847143Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4847536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4847894Z     return mod(*inputs)
2025-10-10T00:51:31.4848262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4848675Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4848933Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 228, in forward
2025-10-10T00:51:31.4849241Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4849584Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 182, in propagate
2025-10-10T00:51:31.4849957Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4850519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4851010Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4851452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4851895Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4852318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4852746Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4853261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4853676Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4854098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-10-10T00:51:31.4854510Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:51:31.4854680Z 
2025-10-10T00:51:31.4854793Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4855176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4855534Z     return mod(*inputs)
2025-10-10T00:51:31.4855914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4856322Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4856588Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 228, in forward
2025-10-10T00:51:31.4856887Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4857184Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 182, in propagate
2025-10-10T00:51:31.4857560Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4858079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4858575Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4859022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4859468Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4859898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4860330Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4860764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4861172Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4861573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:51:31.4861999Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:51:31.4862193Z 
2025-10-10T00:51:31.4862309Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4862706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4863057Z     return mod(*inputs)
2025-10-10T00:51:31.4863434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4863834Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4864096Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 228, in forward
2025-10-10T00:51:31.4864534Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4864873Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 182, in propagate
2025-10-10T00:51:31.4865247Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4865779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4866267Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4866712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4867155Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4867588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4868029Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4868467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4868873Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4869294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:51:31.4869719Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:51:31.4869896Z 
2025-10-10T00:51:31.4870017Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4870399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4870736Z     return mod(*inputs)
2025-10-10T00:51:31.4871107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4871502Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4871757Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 228, in forward
2025-10-10T00:51:31.4872027Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4872315Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 182, in propagate
2025-10-10T00:51:31.4872675Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4873192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4873676Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4874105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4874537Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4874957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4875398Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4875822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4876214Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4876610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-10-10T00:51:31.4877030Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:51:31.4877203Z 
2025-10-10T00:51:31.4877323Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4877697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4878045Z     return mod(*inputs)
2025-10-10T00:51:31.4878412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4878817Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4879116Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 228, in forward
2025-10-10T00:51:31.4879428Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4879710Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 182, in propagate
2025-10-10T00:51:31.4880073Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4880583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4881057Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4881492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4881920Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4882354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4882785Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4883195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4883590Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4883985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:51:31.4884418Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:51:31.4884601Z 
2025-10-10T00:51:31.4884732Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4885109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4885455Z     return mod(*inputs)
2025-10-10T00:51:31.4885832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4886236Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4886486Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 228, in forward
2025-10-10T00:51:31.4886771Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4887056Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 182, in propagate
2025-10-10T00:51:31.4887428Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4887956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4888443Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4889024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4889469Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4889905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4890537Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4890980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4891453Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4891856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:51:31.4892285Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:51:31.4892469Z 
2025-10-10T00:51:31.4892567Z cudagraph partition due to non gpu ops
2025-10-10T00:51:31.4892793Z cudagraph partition due to non gpu ops
2025-10-10T00:51:31.4893238Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4893639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4894111Z     return mod(*inputs)
2025-10-10T00:51:31.4894490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4894960Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4895225Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 228, in forward
2025-10-10T00:51:31.4895513Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4895800Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 182, in propagate
2025-10-10T00:51:31.4896175Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4896701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4897194Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4897646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4898072Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4898500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4898934Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4899361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4899766Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4900159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-10-10T00:51:31.4900556Z     return out / broadcast(count, out, dim)
2025-10-10T00:51:31.4900714Z 
2025-10-10T00:51:31.4900828Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4901225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4901577Z     return mod(*inputs)
2025-10-10T00:51:31.4901943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4902353Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4902615Z   File "/tmp/jenkins_pyg/tmplwndcf0f.py", line 229, in forward
2025-10-10T00:51:31.4902876Z     out = self.lin_l(out)
2025-10-10T00:51:31.4903241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:51:31.4903652Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:51:31.4903814Z 
2025-10-10T00:51:31.4903900Z cudagraph partition due to non gpu ops
2025-10-10T00:51:31.4904163Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4904528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4904867Z     return mod(*inputs)
2025-10-10T00:51:31.4905232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4905625Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4905881Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 228, in forward
2025-10-10T00:51:31.4906152Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4906433Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 180, in propagate
2025-10-10T00:51:31.4906728Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:51:31.4907019Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 127, in _collect
2025-10-10T00:51:31.4907268Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:51:31.4907520Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 87, in _lift
2025-10-10T00:51:31.4907787Z     return src.index_select(self.node_dim, index)
2025-10-10T00:51:31.4907941Z 
2025-10-10T00:51:31.4908030Z cudagraph partition due to non gpu ops
2025-10-10T00:51:31.4908300Z cudagraph partition due to non gpu ops
2025-10-10T00:51:31.4908547Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4908984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4909328Z     return mod(*inputs)
2025-10-10T00:51:31.4909693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4910078Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4910331Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 228, in forward
2025-10-10T00:51:31.4910609Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4910894Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 182, in propagate
2025-10-10T00:51:31.4911245Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4911763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4912237Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4912680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4913102Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4913508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4913929Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4914344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4914757Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4915146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-10-10T00:51:31.4915523Z     return out / broadcast(count, out, dim)
2025-10-10T00:51:31.4915680Z 
2025-10-10T00:51:31.4915797Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4916176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4916524Z     return mod(*inputs)
2025-10-10T00:51:31.4916879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4917275Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4917529Z   File "/tmp/jenkins_pyg/tmpcptrgop_.py", line 229, in forward
2025-10-10T00:51:31.4917781Z     out = self.lin_l(out)
2025-10-10T00:51:31.4918139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:51:31.4918524Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:51:31.4918680Z 
2025-10-10T00:51:31.4918839Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4919230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4919576Z     return mod(*inputs)
2025-10-10T00:51:31.4919930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-10-10T00:51:31.4920317Z     x = self.act(x)
2025-10-10T00:51:31.4920426Z 
2025-10-10T00:51:31.4920508Z cudagraph partition due to non gpu ops
2025-10-10T00:51:31.4920758Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4921133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4921462Z     return mod(*inputs)
2025-10-10T00:51:31.4921822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4922213Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4922518Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 228, in forward
2025-10-10T00:51:31.4922804Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4923132Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 180, in propagate
2025-10-10T00:51:31.4923430Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:51:31.4923726Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 127, in _collect
2025-10-10T00:51:31.4923981Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:51:31.4924228Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 87, in _lift
2025-10-10T00:51:31.4924502Z     return src.index_select(self.node_dim, index)
2025-10-10T00:51:31.4924657Z 
2025-10-10T00:51:31.4924748Z cudagraph partition due to non gpu ops
2025-10-10T00:51:31.4924971Z cudagraph partition due to non gpu ops
2025-10-10T00:51:31.4925218Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4925598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4925951Z     return mod(*inputs)
2025-10-10T00:51:31.4926340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4926746Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4927009Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 228, in forward
2025-10-10T00:51:31.4927311Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:51:31.4927605Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 182, in propagate
2025-10-10T00:51:31.4927984Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:51:31.4928512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:51:31.4929008Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:51:31.4929468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:51:31.4929907Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:51:31.4930342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:51:31.4930817Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:51:31.4931259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:51:31.4931677Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:51:31.4932086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-10-10T00:51:31.4932476Z     return out / broadcast(count, out, dim)
2025-10-10T00:51:31.4932633Z 
2025-10-10T00:51:31.4932747Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4933253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4933632Z     return mod(*inputs)
2025-10-10T00:51:31.4934014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:51:31.4934419Z     x = self.convs[i](x, edge_index)
2025-10-10T00:51:31.4934685Z   File "/tmp/jenkins_pyg/tmp6xsttay9.py", line 229, in forward
2025-10-10T00:51:31.4934949Z     out = self.lin_l(out)
2025-10-10T00:51:31.4935322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:51:31.4935723Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:51:31.4935887Z 
2025-10-10T00:51:31.4936001Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:31.4936391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:31.4936743Z     return mod(*inputs)
2025-10-10T00:51:31.4937165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-10-10T00:51:31.4937596Z     x = self.act(x)
2025-10-10T00:51:31.4937705Z 
2025-10-10T00:51:31.4937792Z cudagraph partition due to non gpu ops
2025-10-10T00:51:40.1903200Z Compilation time (from dynamo_timed): 10.033146246
2025-10-10T00:51:40.1903511Z pass
2025-10-10T00:51:40.1904360Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:40.1905272Z TIMING: _recursive_pre_grad_passes:0.00463 _recursive_joint_graph_passes:0.14863 _recursive_post_grad_passes:0.03506 async_compile.wait:0.50651 code_gen:8.59724 inductor_compile:8.7258 backend_compile:9.70312 gc:0.00053 entire_frame_compile:10.03315 total_wall_time:10.03315
2025-10-10T00:51:40.1906243Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:933 | FakeTensor.__torch_dispatch__:273 | ProxyTorchDispatchMode.__torch_dispatch__:222
2025-10-10T00:51:40.1910337Z Dynamo produced 1 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-10-10T00:51:42.1507161Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:51:42.1508649Z   import pynvml  # type: ignore[import]
2025-10-10T00:51:44.4540722Z 
2025-10-10T00:51:44.6891181Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:51:44.6891501Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:51:44.6892686Z cpu  eval  dcgan                              
2025-10-10T00:51:44.7057445Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:44.7153511Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:44.7200402Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:48.2543664Z cudagraph partition due to non gpu ops
2025-10-10T00:51:48.2544044Z cudagraph partition due to non gpu ops
2025-10-10T00:51:48.2544284Z cudagraph partition due to non gpu ops
2025-10-10T00:51:48.2544515Z cudagraph partition due to non gpu ops
2025-10-10T00:51:48.2544739Z cudagraph partition due to non gpu ops
2025-10-10T00:51:48.2544963Z cudagraph partition due to non gpu ops
2025-10-10T00:51:48.2545225Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:48.2545683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:48.2546050Z     return mod(*inputs)
2025-10-10T00:51:48.2546356Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:51:48.2546674Z     return self.main(input)
2025-10-10T00:51:48.2546810Z 
2025-10-10T00:51:48.2546926Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:48.2547322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:48.2547666Z     return mod(*inputs)
2025-10-10T00:51:48.2547954Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:51:48.2548278Z     return self.main(input)
2025-10-10T00:51:48.2548407Z 
2025-10-10T00:51:48.2548516Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:48.2548903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:48.2549241Z     return mod(*inputs)
2025-10-10T00:51:48.2549520Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:51:48.2549825Z     return self.main(input)
2025-10-10T00:51:48.2549950Z 
2025-10-10T00:51:48.2550058Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:48.2550445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:48.2550783Z     return mod(*inputs)
2025-10-10T00:51:48.2551479Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:51:48.2551915Z     return self.main(input)
2025-10-10T00:51:48.2552037Z 
2025-10-10T00:51:48.2552155Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:48.2552549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:48.2552881Z     return mod(*inputs)
2025-10-10T00:51:48.2553167Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:51:48.2553484Z     return self.main(input)
2025-10-10T00:51:48.2553599Z 
2025-10-10T00:51:48.2553717Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:48.2554094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:48.2554441Z     return mod(*inputs)
2025-10-10T00:51:48.2554711Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:51:48.2555005Z     return self.main(input)
2025-10-10T00:51:48.2555118Z 
2025-10-10T00:51:48.2555228Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:48.2555598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:48.2555941Z     return mod(*inputs)
2025-10-10T00:51:48.2556226Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:51:48.2556517Z     return self.main(input)
2025-10-10T00:51:48.2556626Z 
2025-10-10T00:51:57.6240407Z Compilation time (from dynamo_timed): 11.90975909
2025-10-10T00:51:57.6240735Z pass
2025-10-10T00:51:57.6241040Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:57.6242024Z TIMING: _recursive_pre_grad_passes:0.0036 _recursive_joint_graph_passes:0.35331 _recursive_post_grad_passes:0.02103 async_compile.wait:0.66024 code_gen:9.2799 inductor_compile:9.6108 backend_compile:11.30959 gc:0.00173 entire_frame_compile:11.90976 total_wall_time:11.90976
2025-10-10T00:51:57.6243097Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:931 | attempt fast:26 | fast is_contiguous:26 | FakeTensor.__torch_dispatch__:371 | ProxyTorchDispatchMode.__torch_dispatch__:192
2025-10-10T00:51:57.6243705Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-10-10T00:51:59.5508820Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:51:59.5509670Z   import pynvml  # type: ignore[import]
2025-10-10T00:52:01.8539157Z 
2025-10-10T00:52:03.7279961Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:52:03.7283040Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:52:03.7283374Z cpu  eval  demucs                             
2025-10-10T00:52:04.9875208Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:52:05.5827550Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:52:06.1740938Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:52:08.9122483Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:08.9123088Z    File "/torchbench/torchbenchmark/models/demucs/__init__.py", line 32, in forward
2025-10-10T00:52:08.9123590Z     mix = sources.sum(dim=1)
2025-10-10T00:52:08.9123751Z 
2025-10-10T00:52:18.1833730Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1834402Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1834889Z     x = encode(x)
2025-10-10T00:52:18.1835089Z 
2025-10-10T00:52:18.1835744Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1836140Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1836608Z     x = encode(x)
2025-10-10T00:52:18.1836720Z 
2025-10-10T00:52:18.1836842Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1837235Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1837557Z     x = encode(x)
2025-10-10T00:52:18.1837652Z 
2025-10-10T00:52:18.1837796Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1838167Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1838475Z     x = encode(x)
2025-10-10T00:52:18.1838579Z 
2025-10-10T00:52:18.1838685Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1839128Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1839455Z     x = encode(x)
2025-10-10T00:52:18.1839559Z 
2025-10-10T00:52:18.1840222Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1840686Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1841029Z     x = encode(x)
2025-10-10T00:52:18.1841137Z 
2025-10-10T00:52:18.1841256Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1841624Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1841961Z     x = encode(x)
2025-10-10T00:52:18.1842064Z 
2025-10-10T00:52:18.1842227Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1842616Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1842930Z     x = encode(x)
2025-10-10T00:52:18.1843037Z 
2025-10-10T00:52:18.1843178Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1843624Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1843961Z     x = encode(x)
2025-10-10T00:52:18.1844069Z 
2025-10-10T00:52:18.1844187Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1844553Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1844873Z     x = encode(x)
2025-10-10T00:52:18.1844979Z 
2025-10-10T00:52:18.1845092Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1845452Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1845763Z     x = encode(x)
2025-10-10T00:52:18.1845919Z 
2025-10-10T00:52:18.1846034Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1846405Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1846726Z     x = encode(x)
2025-10-10T00:52:18.1846822Z 
2025-10-10T00:52:18.1846934Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1847303Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1847634Z     x = encode(x)
2025-10-10T00:52:18.1847735Z 
2025-10-10T00:52:18.1847847Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1848278Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1848651Z     x = encode(x)
2025-10-10T00:52:18.1848758Z 
2025-10-10T00:52:18.1848867Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1849264Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1849597Z     x = encode(x)
2025-10-10T00:52:18.1849694Z 
2025-10-10T00:52:18.1849810Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1850180Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1850513Z     x = encode(x)
2025-10-10T00:52:18.1850613Z 
2025-10-10T00:52:18.1851000Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1851460Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1851785Z     x = encode(x)
2025-10-10T00:52:18.1851889Z 
2025-10-10T00:52:18.1851997Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1852371Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1852702Z     x = encode(x)
2025-10-10T00:52:18.1852796Z 
2025-10-10T00:52:18.1852910Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1853367Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1853705Z     x = encode(x)
2025-10-10T00:52:18.1853807Z 
2025-10-10T00:52:18.1853917Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1854316Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1854644Z     x = encode(x)
2025-10-10T00:52:18.1854749Z 
2025-10-10T00:52:18.1854865Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1855241Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1855572Z     x = encode(x)
2025-10-10T00:52:18.1855668Z 
2025-10-10T00:52:18.1855782Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1856145Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1856470Z     x = encode(x)
2025-10-10T00:52:18.1856571Z 
2025-10-10T00:52:18.1856680Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1857053Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1857374Z     x = encode(x)
2025-10-10T00:52:18.1857476Z 
2025-10-10T00:52:18.1857587Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:18.1857994Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:52:18.1858334Z     x = encode(x)
2025-10-10T00:52:18.1858428Z 
2025-10-10T00:52:20.1542328Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1542903Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1543312Z     x = x + skip
2025-10-10T00:52:20.1543421Z 
2025-10-10T00:52:20.1543547Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1543985Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1544394Z     x = decode(x)
2025-10-10T00:52:20.1544503Z 
2025-10-10T00:52:20.1544614Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1545058Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1545487Z     x = decode(x)
2025-10-10T00:52:20.1545592Z 
2025-10-10T00:52:20.1545722Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1546177Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1546594Z     x = decode(x)
2025-10-10T00:52:20.1546689Z 
2025-10-10T00:52:20.1546805Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1547298Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1547723Z     x = x + skip
2025-10-10T00:52:20.1547835Z 
2025-10-10T00:52:20.1547949Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1548454Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1548836Z     x = decode(x)
2025-10-10T00:52:20.1548931Z 
2025-10-10T00:52:20.1549441Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1549916Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1551043Z     x = decode(x)
2025-10-10T00:52:20.1551163Z 
2025-10-10T00:52:20.1551283Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1551712Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1552100Z     x = decode(x)
2025-10-10T00:52:20.1552210Z 
2025-10-10T00:52:20.1552341Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1552779Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1553165Z     x = x + skip
2025-10-10T00:52:20.1553264Z 
2025-10-10T00:52:20.1553380Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1553808Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1554205Z     x = decode(x)
2025-10-10T00:52:20.1554309Z 
2025-10-10T00:52:20.1554417Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1554849Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1555232Z     x = decode(x)
2025-10-10T00:52:20.1555329Z 
2025-10-10T00:52:20.1555439Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1555871Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1556266Z     x = decode(x)
2025-10-10T00:52:20.1556362Z 
2025-10-10T00:52:20.1556477Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1556931Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1557336Z     x = x + skip
2025-10-10T00:52:20.1557445Z 
2025-10-10T00:52:20.1557566Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1558006Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1558407Z     x = decode(x)
2025-10-10T00:52:20.1558503Z 
2025-10-10T00:52:20.1558611Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1559044Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1559440Z     x = decode(x)
2025-10-10T00:52:20.1559536Z 
2025-10-10T00:52:20.1559691Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1560126Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1560502Z     x = decode(x)
2025-10-10T00:52:20.1560605Z 
2025-10-10T00:52:20.1560713Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1561142Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1561520Z     x = x + skip
2025-10-10T00:52:20.1561613Z 
2025-10-10T00:52:20.1561727Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1562136Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1562513Z     x = decode(x)
2025-10-10T00:52:20.1562611Z 
2025-10-10T00:52:20.1562717Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1563157Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1563526Z     x = decode(x)
2025-10-10T00:52:20.1563625Z 
2025-10-10T00:52:20.1563727Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1564204Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1564617Z     x = decode(x)
2025-10-10T00:52:20.1564709Z 
2025-10-10T00:52:20.1564821Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1565228Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1565601Z     x = x + skip
2025-10-10T00:52:20.1565702Z 
2025-10-10T00:52:20.1565807Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1566224Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1566599Z     x = decode(x)
2025-10-10T00:52:20.1566692Z 
2025-10-10T00:52:20.1566796Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1567213Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1567591Z     x = decode(x)
2025-10-10T00:52:20.1567684Z 
2025-10-10T00:52:20.1567797Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:20.1568204Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:52:20.1568577Z     x = decode(x)
2025-10-10T00:52:20.1568675Z 
2025-10-10T00:52:21.7654948Z Compilation time (from dynamo_timed): 13.987208948
2025-10-10T00:52:21.7670191Z pass
2025-10-10T00:52:21.7671852Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:52:21.7672709Z TIMING: gc:0.00365 entire_frame_compile:13.98721 _recursive_pre_grad_passes:0.00471 _recursive_joint_graph_passes:0.34159 _recursive_post_grad_passes:0.02192 async_compile.wait:1.78178 code_gen:10.53317 inductor_compile:10.9119 backend_compile:12.27132 total_wall_time:13.98721
2025-10-10T00:52:21.7673722Z STATS: call_* op count: 62 | FakeTensorMode.__torch_dispatch__:2163 | ProxyTorchDispatchMode.__torch_dispatch__:190 | FakeTensor.__torch_dispatch__:383
2025-10-10T00:52:21.7674301Z Dynamo produced 3 graphs covering 62 ops with 3 graph breaks (1 unique)
2025-10-10T00:52:23.6990952Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:52:23.6992523Z   import pynvml  # type: ignore[import]
2025-10-10T00:52:25.9823818Z 
2025-10-10T00:52:26.2074116Z 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
2025-10-10T00:52:26.2306712Z 
2025-10-10T00:52:26.2307130Z 
2025-10-10T00:52:26.3053784Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-10-10T00:52:26.3054114Z 100% 30.8M/30.8M [00:00<00:00, 433MB/s]
2025-10-10T00:52:26.6665751Z 
2025-10-10T00:52:26.6667388Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:52:26.6699450Z cpu  eval  densenet121                        
2025-10-10T00:52:27.1406588Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:52:27.3006513Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:52:27.4544023Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:53:04.3884123Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3887355Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3887622Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3887873Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3888194Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3888453Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3889083Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3892145Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3893084Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3893409Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3893640Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3893871Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3894096Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3894323Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3894552Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3894781Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3895000Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3895233Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3895447Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3895672Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3895889Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3896115Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3896346Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3896570Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3896786Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3897011Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3897235Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3897462Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3897680Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3897906Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3898128Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3898353Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3898568Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3898797Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3899019Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3899239Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3899462Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3899704Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3899931Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3900164Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3900387Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3900615Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3900840Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3901066Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3901286Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3901609Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3901837Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3902108Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3902331Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3902561Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3902785Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3903009Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3903247Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3903527Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3903867Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3917509Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3917836Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3918069Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3918291Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3918512Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.3918780Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3919205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3919590Z     return mod(*inputs)
2025-10-10T00:53:04.3920012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3920435Z     features = self.features(x)
2025-10-10T00:53:04.3920758Z 
2025-10-10T00:53:04.3920887Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3921366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3921717Z     return mod(*inputs)
2025-10-10T00:53:04.3922078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3922459Z     features = self.features(x)
2025-10-10T00:53:04.3922587Z 
2025-10-10T00:53:04.3922704Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3923101Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3923473Z     return mod(*inputs)
2025-10-10T00:53:04.3923838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3924218Z     features = self.features(x)
2025-10-10T00:53:04.3924350Z 
2025-10-10T00:53:04.3924468Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3924864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3925207Z     return mod(*inputs)
2025-10-10T00:53:04.3925555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3925931Z     features = self.features(x)
2025-10-10T00:53:04.3926305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3926699Z     new_features = layer(features)
2025-10-10T00:53:04.3927092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3927508Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.3927939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.3928458Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.3928718Z 
2025-10-10T00:53:04.3928833Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3929237Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3929578Z     return mod(*inputs)
2025-10-10T00:53:04.3929937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3930323Z     features = self.features(x)
2025-10-10T00:53:04.3930695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3931092Z     new_features = layer(features)
2025-10-10T00:53:04.3931471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.3931929Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.3932147Z 
2025-10-10T00:53:04.3932264Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3932655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3933247Z     return mod(*inputs)
2025-10-10T00:53:04.3933612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3934018Z     features = self.features(x)
2025-10-10T00:53:04.3934392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3934784Z     new_features = layer(features)
2025-10-10T00:53:04.3935161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.3935630Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.3935855Z 
2025-10-10T00:53:04.3936036Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3936466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3936815Z     return mod(*inputs)
2025-10-10T00:53:04.3937168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3937552Z     features = self.features(x)
2025-10-10T00:53:04.3937920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3938321Z     new_features = layer(features)
2025-10-10T00:53:04.3938692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3939127Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.3939565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.3939985Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.3940141Z 
2025-10-10T00:53:04.3940259Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3940637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3941011Z     return mod(*inputs)
2025-10-10T00:53:04.3941362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3941759Z     features = self.features(x)
2025-10-10T00:53:04.3942130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3942515Z     new_features = layer(features)
2025-10-10T00:53:04.3942886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3943303Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.3943727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.3944226Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.3944472Z 
2025-10-10T00:53:04.3944582Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3944968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3945330Z     return mod(*inputs)
2025-10-10T00:53:04.3945672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3946045Z     features = self.features(x)
2025-10-10T00:53:04.3946411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3946800Z     new_features = layer(features)
2025-10-10T00:53:04.3947182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3947615Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.3948036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.3948535Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.3948790Z 
2025-10-10T00:53:04.3948901Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3949594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3949945Z     return mod(*inputs)
2025-10-10T00:53:04.3950280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3950661Z     features = self.features(x)
2025-10-10T00:53:04.3951062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3951492Z     new_features = layer(features)
2025-10-10T00:53:04.3951854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.3952301Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.3952521Z 
2025-10-10T00:53:04.3952634Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3953053Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3953416Z     return mod(*inputs)
2025-10-10T00:53:04.3953766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3954148Z     features = self.features(x)
2025-10-10T00:53:04.3954511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3954958Z     new_features = layer(features)
2025-10-10T00:53:04.3955321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.3955763Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.3955974Z 
2025-10-10T00:53:04.3956086Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3956465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3956804Z     return mod(*inputs)
2025-10-10T00:53:04.3957138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3957533Z     features = self.features(x)
2025-10-10T00:53:04.3957905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3958299Z     new_features = layer(features)
2025-10-10T00:53:04.3958681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3959103Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.3959520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.3959921Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.3960071Z 
2025-10-10T00:53:04.3960180Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3960557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3960894Z     return mod(*inputs)
2025-10-10T00:53:04.3961236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3961608Z     features = self.features(x)
2025-10-10T00:53:04.3961968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3962348Z     new_features = layer(features)
2025-10-10T00:53:04.3962720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3963122Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.3963535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.3964045Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.3964289Z 
2025-10-10T00:53:04.3964398Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3964786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3965156Z     return mod(*inputs)
2025-10-10T00:53:04.3965542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3965938Z     features = self.features(x)
2025-10-10T00:53:04.3966352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3966752Z     new_features = layer(features)
2025-10-10T00:53:04.3967127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3967545Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.3967972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.3968480Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.3968725Z 
2025-10-10T00:53:04.3968845Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3969227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3969581Z     return mod(*inputs)
2025-10-10T00:53:04.3969933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3970329Z     features = self.features(x)
2025-10-10T00:53:04.3970701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3971082Z     new_features = layer(features)
2025-10-10T00:53:04.3971464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.3971920Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.3972132Z 
2025-10-10T00:53:04.3972253Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3972646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3973122Z     return mod(*inputs)
2025-10-10T00:53:04.3973532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3973926Z     features = self.features(x)
2025-10-10T00:53:04.3974301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3974686Z     new_features = layer(features)
2025-10-10T00:53:04.3975073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.3975529Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.3975740Z 
2025-10-10T00:53:04.3975863Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3976252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3976597Z     return mod(*inputs)
2025-10-10T00:53:04.3976966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3977352Z     features = self.features(x)
2025-10-10T00:53:04.3977722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3978099Z     new_features = layer(features)
2025-10-10T00:53:04.3978477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3978895Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.3979322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.3979735Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.3979887Z 
2025-10-10T00:53:04.3979997Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3980387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3980785Z     return mod(*inputs)
2025-10-10T00:53:04.3981144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3982606Z     features = self.features(x)
2025-10-10T00:53:04.3982974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3983369Z     new_features = layer(features)
2025-10-10T00:53:04.3983749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3984164Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.3984566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.3985052Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.3985302Z 
2025-10-10T00:53:04.3985414Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3985810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3986150Z     return mod(*inputs)
2025-10-10T00:53:04.3986485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3986859Z     features = self.features(x)
2025-10-10T00:53:04.3987228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3987615Z     new_features = layer(features)
2025-10-10T00:53:04.3987984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3988399Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.3988825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.3989328Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.3989566Z 
2025-10-10T00:53:04.3989682Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3990269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3990632Z     return mod(*inputs)
2025-10-10T00:53:04.3990978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3991365Z     features = self.features(x)
2025-10-10T00:53:04.3991737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3992120Z     new_features = layer(features)
2025-10-10T00:53:04.3992501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.3992961Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.3993165Z 
2025-10-10T00:53:04.3993284Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3993678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3994020Z     return mod(*inputs)
2025-10-10T00:53:04.3994375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3994768Z     features = self.features(x)
2025-10-10T00:53:04.3995144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3995529Z     new_features = layer(features)
2025-10-10T00:53:04.3995919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.3996379Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.3996596Z 
2025-10-10T00:53:04.3996823Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.3997224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.3997671Z     return mod(*inputs)
2025-10-10T00:53:04.3998027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.3998409Z     features = self.features(x)
2025-10-10T00:53:04.3998766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.3999132Z     new_features = layer(features)
2025-10-10T00:53:04.3999500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.3999905Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4000319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4000719Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4000870Z 
2025-10-10T00:53:04.4000978Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4001352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4001687Z     return mod(*inputs)
2025-10-10T00:53:04.4002028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4002396Z     features = self.features(x)
2025-10-10T00:53:04.4002743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4003112Z     new_features = layer(features)
2025-10-10T00:53:04.4003475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4003888Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4004309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4004810Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4005057Z 
2025-10-10T00:53:04.4005168Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4005553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4005898Z     return mod(*inputs)
2025-10-10T00:53:04.4006243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4006624Z     features = self.features(x)
2025-10-10T00:53:04.4006991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4007373Z     new_features = layer(features)
2025-10-10T00:53:04.4007742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4008164Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4008586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4009086Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4009330Z 
2025-10-10T00:53:04.4009447Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4009824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4010194Z     return mod(*inputs)
2025-10-10T00:53:04.4010557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4010947Z     features = self.features(x)
2025-10-10T00:53:04.4011364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4011760Z     new_features = layer(features)
2025-10-10T00:53:04.4012181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4012640Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4012846Z 
2025-10-10T00:53:04.4013060Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4013535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4013900Z     return mod(*inputs)
2025-10-10T00:53:04.4014257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4014655Z     features = self.features(x)
2025-10-10T00:53:04.4015033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4015505Z     new_features = layer(features)
2025-10-10T00:53:04.4015891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4016355Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4016560Z 
2025-10-10T00:53:04.4016681Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4017091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4017444Z     return mod(*inputs)
2025-10-10T00:53:04.4017807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4018191Z     features = self.features(x)
2025-10-10T00:53:04.4018571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4018964Z     new_features = layer(features)
2025-10-10T00:53:04.4019358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4019776Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4020192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4020601Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4020749Z 
2025-10-10T00:53:04.4020864Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4021232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4021573Z     return mod(*inputs)
2025-10-10T00:53:04.4021915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4022287Z     features = self.features(x)
2025-10-10T00:53:04.4022641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4023015Z     new_features = layer(features)
2025-10-10T00:53:04.4023384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4023789Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4024201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4024678Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4024923Z 
2025-10-10T00:53:04.4025032Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4025411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4025754Z     return mod(*inputs)
2025-10-10T00:53:04.4026088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4026519Z     features = self.features(x)
2025-10-10T00:53:04.4026881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4027293Z     new_features = layer(features)
2025-10-10T00:53:04.4027655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4028047Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4028460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4028948Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4029183Z 
2025-10-10T00:53:04.4029300Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4029671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4030001Z     return mod(*inputs)
2025-10-10T00:53:04.4030343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4030714Z     features = self.features(x)
2025-10-10T00:53:04.4031068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4031430Z     new_features = layer(features)
2025-10-10T00:53:04.4031791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4032229Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4032433Z 
2025-10-10T00:53:04.4032548Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4032920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4033249Z     return mod(*inputs)
2025-10-10T00:53:04.4033594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4033970Z     features = self.features(x)
2025-10-10T00:53:04.4034323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4034695Z     new_features = layer(features)
2025-10-10T00:53:04.4035052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4035492Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4035696Z 
2025-10-10T00:53:04.4035785Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4036035Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4036407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4036742Z     return mod(*inputs)
2025-10-10T00:53:04.4037088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4037467Z     features = self.features(x)
2025-10-10T00:53:04.4037826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-10-10T00:53:04.4038194Z     return torch.cat(features, 1)
2025-10-10T00:53:04.4038333Z 
2025-10-10T00:53:04.4038441Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4038828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4039164Z     return mod(*inputs)
2025-10-10T00:53:04.4039501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4039870Z     features = self.features(x)
2025-10-10T00:53:04.4039998Z 
2025-10-10T00:53:04.4040105Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4040520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4040906Z     return mod(*inputs)
2025-10-10T00:53:04.4041252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4041639Z     features = self.features(x)
2025-10-10T00:53:04.4041806Z 
2025-10-10T00:53:04.4041957Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4042331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4042691Z     return mod(*inputs)
2025-10-10T00:53:04.4043036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4043410Z     features = self.features(x)
2025-10-10T00:53:04.4043768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4044136Z     new_features = layer(features)
2025-10-10T00:53:04.4044505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4044911Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4045324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4045805Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4046040Z 
2025-10-10T00:53:04.4046148Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4046521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4046856Z     return mod(*inputs)
2025-10-10T00:53:04.4047197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4047570Z     features = self.features(x)
2025-10-10T00:53:04.4047922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4048303Z     new_features = layer(features)
2025-10-10T00:53:04.4048664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4049103Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4049304Z 
2025-10-10T00:53:04.4049421Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4049789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4050125Z     return mod(*inputs)
2025-10-10T00:53:04.4050473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4050849Z     features = self.features(x)
2025-10-10T00:53:04.4051200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4051573Z     new_features = layer(features)
2025-10-10T00:53:04.4051951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4052396Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4052597Z 
2025-10-10T00:53:04.4052716Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4053191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4053562Z     return mod(*inputs)
2025-10-10T00:53:04.4053923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4054323Z     features = self.features(x)
2025-10-10T00:53:04.4054694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4055153Z     new_features = layer(features)
2025-10-10T00:53:04.4055529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4055989Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4056407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4056809Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4056966Z 
2025-10-10T00:53:04.4057077Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4057463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4057830Z     return mod(*inputs)
2025-10-10T00:53:04.4058184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4058578Z     features = self.features(x)
2025-10-10T00:53:04.4058956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4059356Z     new_features = layer(features)
2025-10-10T00:53:04.4059738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4060158Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4060583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4061078Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4061319Z 
2025-10-10T00:53:04.4061437Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4061820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4062161Z     return mod(*inputs)
2025-10-10T00:53:04.4062514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4062897Z     features = self.features(x)
2025-10-10T00:53:04.4063263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4063650Z     new_features = layer(features)
2025-10-10T00:53:04.4064025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4064434Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4064866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4065346Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4065577Z 
2025-10-10T00:53:04.4065684Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4066064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4066402Z     return mod(*inputs)
2025-10-10T00:53:04.4066744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4067120Z     features = self.features(x)
2025-10-10T00:53:04.4067467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4067838Z     new_features = layer(features)
2025-10-10T00:53:04.4068199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4068636Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4068834Z 
2025-10-10T00:53:04.4068950Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4069314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4069698Z     return mod(*inputs)
2025-10-10T00:53:04.4070043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4070455Z     features = self.features(x)
2025-10-10T00:53:04.4070814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4071188Z     new_features = layer(features)
2025-10-10T00:53:04.4071551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4071990Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4072194Z 
2025-10-10T00:53:04.4072312Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4072680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4073027Z     return mod(*inputs)
2025-10-10T00:53:04.4073385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4073776Z     features = self.features(x)
2025-10-10T00:53:04.4074127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4074505Z     new_features = layer(features)
2025-10-10T00:53:04.4074872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4075274Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4075692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4076087Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4076246Z 
2025-10-10T00:53:04.4076358Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4076748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4077100Z     return mod(*inputs)
2025-10-10T00:53:04.4077445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4077834Z     features = self.features(x)
2025-10-10T00:53:04.4078206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4078582Z     new_features = layer(features)
2025-10-10T00:53:04.4078948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4079344Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4079757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4080244Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4080482Z 
2025-10-10T00:53:04.4080602Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4080980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4081308Z     return mod(*inputs)
2025-10-10T00:53:04.4081651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4082021Z     features = self.features(x)
2025-10-10T00:53:04.4082380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4082749Z     new_features = layer(features)
2025-10-10T00:53:04.4083121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4083539Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4084010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4084519Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4084804Z 
2025-10-10T00:53:04.4084916Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4085304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4085652Z     return mod(*inputs)
2025-10-10T00:53:04.4086004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4086387Z     features = self.features(x)
2025-10-10T00:53:04.4086744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4087134Z     new_features = layer(features)
2025-10-10T00:53:04.4087514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4087972Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4088184Z 
2025-10-10T00:53:04.4088301Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4088677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4089027Z     return mod(*inputs)
2025-10-10T00:53:04.4089382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4089765Z     features = self.features(x)
2025-10-10T00:53:04.4090319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4090721Z     new_features = layer(features)
2025-10-10T00:53:04.4091096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4091553Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4091769Z 
2025-10-10T00:53:04.4091890Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4092275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4092623Z     return mod(*inputs)
2025-10-10T00:53:04.4093025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4093435Z     features = self.features(x)
2025-10-10T00:53:04.4093798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4094185Z     new_features = layer(features)
2025-10-10T00:53:04.4094564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4094968Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4095386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4095780Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4095939Z 
2025-10-10T00:53:04.4096049Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4096423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4096766Z     return mod(*inputs)
2025-10-10T00:53:04.4097104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4097479Z     features = self.features(x)
2025-10-10T00:53:04.4097838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4098214Z     new_features = layer(features)
2025-10-10T00:53:04.4098582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4099073Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4099496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4100046Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4100282Z 
2025-10-10T00:53:04.4100400Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4100776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4101104Z     return mod(*inputs)
2025-10-10T00:53:04.4101451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4101826Z     features = self.features(x)
2025-10-10T00:53:04.4102185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4102551Z     new_features = layer(features)
2025-10-10T00:53:04.4102918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4103323Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4103733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4104216Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4104451Z 
2025-10-10T00:53:04.4104559Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4104947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4105265Z     return mod(*inputs)
2025-10-10T00:53:04.4105590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4105944Z     features = self.features(x)
2025-10-10T00:53:04.4106279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4106635Z     new_features = layer(features)
2025-10-10T00:53:04.4106990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4107419Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4107619Z 
2025-10-10T00:53:04.4107728Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4108106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4108442Z     return mod(*inputs)
2025-10-10T00:53:04.4108788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4109140Z     features = self.features(x)
2025-10-10T00:53:04.4109484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4109858Z     new_features = layer(features)
2025-10-10T00:53:04.4110224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4110663Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4110852Z 
2025-10-10T00:53:04.4110963Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4111308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4111627Z     return mod(*inputs)
2025-10-10T00:53:04.4111948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4112300Z     features = self.features(x)
2025-10-10T00:53:04.4112632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4112984Z     new_features = layer(features)
2025-10-10T00:53:04.4113366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4113784Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4114173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4114546Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4114692Z 
2025-10-10T00:53:04.4114793Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4115151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4115473Z     return mod(*inputs)
2025-10-10T00:53:04.4115792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4116160Z     features = self.features(x)
2025-10-10T00:53:04.4116530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4116917Z     new_features = layer(features)
2025-10-10T00:53:04.4117286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4117681Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4118095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4118587Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4118807Z 
2025-10-10T00:53:04.4118917Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4119273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4119591Z     return mod(*inputs)
2025-10-10T00:53:04.4119922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4120275Z     features = self.features(x)
2025-10-10T00:53:04.4120620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4120966Z     new_features = layer(features)
2025-10-10T00:53:04.4121312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4121693Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4122084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4122543Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4122766Z 
2025-10-10T00:53:04.4122869Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4123236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4123559Z     return mod(*inputs)
2025-10-10T00:53:04.4123886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4124238Z     features = self.features(x)
2025-10-10T00:53:04.4124568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4124923Z     new_features = layer(features)
2025-10-10T00:53:04.4125268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4125682Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4125874Z 
2025-10-10T00:53:04.4125982Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4126355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4126691Z     return mod(*inputs)
2025-10-10T00:53:04.4127083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4127492Z     features = self.features(x)
2025-10-10T00:53:04.4127839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4128221Z     new_features = layer(features)
2025-10-10T00:53:04.4128584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4129022Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4129220Z 
2025-10-10T00:53:04.4129336Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4129703Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4130037Z     return mod(*inputs)
2025-10-10T00:53:04.4130388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4130759Z     features = self.features(x)
2025-10-10T00:53:04.4131111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4131493Z     new_features = layer(features)
2025-10-10T00:53:04.4131850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4132252Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4132674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4133162Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4133329Z 
2025-10-10T00:53:04.4133443Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4133832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4134194Z     return mod(*inputs)
2025-10-10T00:53:04.4134531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4134906Z     features = self.features(x)
2025-10-10T00:53:04.4135266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4135641Z     new_features = layer(features)
2025-10-10T00:53:04.4136004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4136404Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4136817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4137301Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4137537Z 
2025-10-10T00:53:04.4137657Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4138035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4138388Z     return mod(*inputs)
2025-10-10T00:53:04.4138738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4139115Z     features = self.features(x)
2025-10-10T00:53:04.4139476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4139840Z     new_features = layer(features)
2025-10-10T00:53:04.4140203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4140609Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4141020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4141556Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4141826Z 
2025-10-10T00:53:04.4141927Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4142291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4142616Z     return mod(*inputs)
2025-10-10T00:53:04.4142987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4143370Z     features = self.features(x)
2025-10-10T00:53:04.4143729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4144111Z     new_features = layer(features)
2025-10-10T00:53:04.4144488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4144918Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4145110Z 
2025-10-10T00:53:04.4145214Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4145583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4145907Z     return mod(*inputs)
2025-10-10T00:53:04.4146239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4146622Z     features = self.features(x)
2025-10-10T00:53:04.4146985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4147347Z     new_features = layer(features)
2025-10-10T00:53:04.4147695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4148117Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4148308Z 
2025-10-10T00:53:04.4148420Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4148776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4149099Z     return mod(*inputs)
2025-10-10T00:53:04.4149429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4149814Z     features = self.features(x)
2025-10-10T00:53:04.4150171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4150556Z     new_features = layer(features)
2025-10-10T00:53:04.4150925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4151335Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4151748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4152131Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4152291Z 
2025-10-10T00:53:04.4152399Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4152781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4153144Z     return mod(*inputs)
2025-10-10T00:53:04.4153483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4153866Z     features = self.features(x)
2025-10-10T00:53:04.4154232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4154617Z     new_features = layer(features)
2025-10-10T00:53:04.4154968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4155351Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4155815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4156307Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4156531Z 
2025-10-10T00:53:04.4156642Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4156998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4157311Z     return mod(*inputs)
2025-10-10T00:53:04.4157638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4158010Z     features = self.features(x)
2025-10-10T00:53:04.4158369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4158734Z     new_features = layer(features)
2025-10-10T00:53:04.4159106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4159516Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4159929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4160399Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4160625Z 
2025-10-10T00:53:04.4160732Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4161106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4161441Z     return mod(*inputs)
2025-10-10T00:53:04.4161780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4162151Z     features = self.features(x)
2025-10-10T00:53:04.4162504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4162876Z     new_features = layer(features)
2025-10-10T00:53:04.4163242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4163675Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4163874Z 
2025-10-10T00:53:04.4163983Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4164360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4164694Z     return mod(*inputs)
2025-10-10T00:53:04.4165038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4165409Z     features = self.features(x)
2025-10-10T00:53:04.4165761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4166133Z     new_features = layer(features)
2025-10-10T00:53:04.4166496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4166934Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4167135Z 
2025-10-10T00:53:04.4167252Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4167618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4167977Z     return mod(*inputs)
2025-10-10T00:53:04.4168319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4168688Z     features = self.features(x)
2025-10-10T00:53:04.4169033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4169415Z     new_features = layer(features)
2025-10-10T00:53:04.4169814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4170257Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4170671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4171066Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4171221Z 
2025-10-10T00:53:04.4171329Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4171705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4172050Z     return mod(*inputs)
2025-10-10T00:53:04.4172400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4172792Z     features = self.features(x)
2025-10-10T00:53:04.4173248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4173649Z     new_features = layer(features)
2025-10-10T00:53:04.4174029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4174447Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4174879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4175376Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4175614Z 
2025-10-10T00:53:04.4175740Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4176116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4176447Z     return mod(*inputs)
2025-10-10T00:53:04.4176812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4177205Z     features = self.features(x)
2025-10-10T00:53:04.4177563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4177930Z     new_features = layer(features)
2025-10-10T00:53:04.4178296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4178703Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4179087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4179563Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4179799Z 
2025-10-10T00:53:04.4179906Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4180283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4180626Z     return mod(*inputs)
2025-10-10T00:53:04.4180964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4181338Z     features = self.features(x)
2025-10-10T00:53:04.4181688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4182060Z     new_features = layer(features)
2025-10-10T00:53:04.4182401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4182815Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4183007Z 
2025-10-10T00:53:04.4183114Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4183489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4183825Z     return mod(*inputs)
2025-10-10T00:53:04.4184215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4184623Z     features = self.features(x)
2025-10-10T00:53:04.4184978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4185352Z     new_features = layer(features)
2025-10-10T00:53:04.4185721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4186160Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4186365Z 
2025-10-10T00:53:04.4186481Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4186853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4187192Z     return mod(*inputs)
2025-10-10T00:53:04.4187550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4187924Z     features = self.features(x)
2025-10-10T00:53:04.4188286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4188674Z     new_features = layer(features)
2025-10-10T00:53:04.4189035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4189447Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4189864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4190432Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4190594Z 
2025-10-10T00:53:04.4190706Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4191095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4191473Z     return mod(*inputs)
2025-10-10T00:53:04.4191818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4192207Z     features = self.features(x)
2025-10-10T00:53:04.4192573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4192970Z     new_features = layer(features)
2025-10-10T00:53:04.4193345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4193755Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4194176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4194674Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4194915Z 
2025-10-10T00:53:04.4195035Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4195415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4195760Z     return mod(*inputs)
2025-10-10T00:53:04.4196110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4196504Z     features = self.features(x)
2025-10-10T00:53:04.4196870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4197253Z     new_features = layer(features)
2025-10-10T00:53:04.4197625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4198034Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4198459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4199040Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4199325Z 
2025-10-10T00:53:04.4199435Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4199815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4200155Z     return mod(*inputs)
2025-10-10T00:53:04.4200500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4200876Z     features = self.features(x)
2025-10-10T00:53:04.4201228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4201604Z     new_features = layer(features)
2025-10-10T00:53:04.4201972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4202415Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4202620Z 
2025-10-10T00:53:04.4202728Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4203113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4203450Z     return mod(*inputs)
2025-10-10T00:53:04.4203793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4204170Z     features = self.features(x)
2025-10-10T00:53:04.4204522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4204895Z     new_features = layer(features)
2025-10-10T00:53:04.4205256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4205695Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4205895Z 
2025-10-10T00:53:04.4206007Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4206383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4206722Z     return mod(*inputs)
2025-10-10T00:53:04.4207066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4207442Z     features = self.features(x)
2025-10-10T00:53:04.4207792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4208166Z     new_features = layer(features)
2025-10-10T00:53:04.4208530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4208935Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4209345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4209738Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4209889Z 
2025-10-10T00:53:04.4210000Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4210377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4210715Z     return mod(*inputs)
2025-10-10T00:53:04.4211049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4211432Z     features = self.features(x)
2025-10-10T00:53:04.4211793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4212179Z     new_features = layer(features)
2025-10-10T00:53:04.4212543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4213020Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4213527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4214063Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4214311Z 
2025-10-10T00:53:04.4214443Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4214822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4215162Z     return mod(*inputs)
2025-10-10T00:53:04.4215491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4215857Z     features = self.features(x)
2025-10-10T00:53:04.4216197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4216549Z     new_features = layer(features)
2025-10-10T00:53:04.4216915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4217316Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4217733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4218215Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4218448Z 
2025-10-10T00:53:04.4218556Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4218937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4219286Z     return mod(*inputs)
2025-10-10T00:53:04.4219635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4219978Z     features = self.features(x)
2025-10-10T00:53:04.4220323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4220673Z     new_features = layer(features)
2025-10-10T00:53:04.4221031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4221480Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4221681Z 
2025-10-10T00:53:04.4221790Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4222188Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4222531Z     return mod(*inputs)
2025-10-10T00:53:04.4222875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4223233Z     features = self.features(x)
2025-10-10T00:53:04.4223565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4223919Z     new_features = layer(features)
2025-10-10T00:53:04.4224267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4224696Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4224898Z 
2025-10-10T00:53:04.4225010Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4225385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4225707Z     return mod(*inputs)
2025-10-10T00:53:04.4226033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4226387Z     features = self.features(x)
2025-10-10T00:53:04.4226743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4227125Z     new_features = layer(features)
2025-10-10T00:53:04.4227537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4228027Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4228439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4228829Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4228981Z 
2025-10-10T00:53:04.4229089Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4229462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4229799Z     return mod(*inputs)
2025-10-10T00:53:04.4230136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4230520Z     features = self.features(x)
2025-10-10T00:53:04.4230879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4231269Z     new_features = layer(features)
2025-10-10T00:53:04.4231638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4232044Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4232452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4232935Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4233171Z 
2025-10-10T00:53:04.4233290Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4233661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4233991Z     return mod(*inputs)
2025-10-10T00:53:04.4234330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4234714Z     features = self.features(x)
2025-10-10T00:53:04.4235068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4235439Z     new_features = layer(features)
2025-10-10T00:53:04.4235799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4236208Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4236614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4237100Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4237337Z 
2025-10-10T00:53:04.4237443Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4237820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4238162Z     return mod(*inputs)
2025-10-10T00:53:04.4238506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4238876Z     features = self.features(x)
2025-10-10T00:53:04.4239234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4239606Z     new_features = layer(features)
2025-10-10T00:53:04.4239968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4240406Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4240606Z 
2025-10-10T00:53:04.4240714Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4241094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4241431Z     return mod(*inputs)
2025-10-10T00:53:04.4241821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4242225Z     features = self.features(x)
2025-10-10T00:53:04.4242580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4242955Z     new_features = layer(features)
2025-10-10T00:53:04.4243321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4243759Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4243962Z 
2025-10-10T00:53:04.4244071Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4244446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4244791Z     return mod(*inputs)
2025-10-10T00:53:04.4245135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4245513Z     features = self.features(x)
2025-10-10T00:53:04.4245873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4246231Z     new_features = layer(features)
2025-10-10T00:53:04.4246572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4246954Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4247357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4247755Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4247907Z 
2025-10-10T00:53:04.4248015Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4248388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4248724Z     return mod(*inputs)
2025-10-10T00:53:04.4249071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4249456Z     features = self.features(x)
2025-10-10T00:53:04.4249823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4250214Z     new_features = layer(features)
2025-10-10T00:53:04.4250587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4250999Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4251418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4251917Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4252160Z 
2025-10-10T00:53:04.4252278Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4252668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4253107Z     return mod(*inputs)
2025-10-10T00:53:04.4253469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4253869Z     features = self.features(x)
2025-10-10T00:53:04.4254247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4254599Z     new_features = layer(features)
2025-10-10T00:53:04.4254947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4255332Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4255723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4256229Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4256456Z 
2025-10-10T00:53:04.4256606Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4256980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4257316Z     return mod(*inputs)
2025-10-10T00:53:04.4257659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4258032Z     features = self.features(x)
2025-10-10T00:53:04.4258392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4258773Z     new_features = layer(features)
2025-10-10T00:53:04.4259139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4259585Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4259786Z 
2025-10-10T00:53:04.4259898Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4260299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4260679Z     return mod(*inputs)
2025-10-10T00:53:04.4261003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4261381Z     features = self.features(x)
2025-10-10T00:53:04.4261785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4262156Z     new_features = layer(features)
2025-10-10T00:53:04.4262520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4262966Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4263172Z 
2025-10-10T00:53:04.4263261Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4263501Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4263737Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4263957Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4264165Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4264378Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4264622Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4265001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4265351Z     return mod(*inputs)
2025-10-10T00:53:04.4265690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4266064Z     features = self.features(x)
2025-10-10T00:53:04.4266434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-10-10T00:53:04.4266816Z     return torch.cat(features, 1)
2025-10-10T00:53:04.4266953Z 
2025-10-10T00:53:04.4267060Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4267452Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4267795Z     return mod(*inputs)
2025-10-10T00:53:04.4268136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4268520Z     features = self.features(x)
2025-10-10T00:53:04.4268641Z 
2025-10-10T00:53:04.4268747Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4269131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4269479Z     return mod(*inputs)
2025-10-10T00:53:04.4269825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4270199Z     features = self.features(x)
2025-10-10T00:53:04.4270326Z 
2025-10-10T00:53:04.4270477Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4270887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4271232Z     return mod(*inputs)
2025-10-10T00:53:04.4271578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4271945Z     features = self.features(x)
2025-10-10T00:53:04.4272304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4272687Z     new_features = layer(features)
2025-10-10T00:53:04.4273056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4273452Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4273869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4274365Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4274611Z 
2025-10-10T00:53:04.4274718Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4275095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4275427Z     return mod(*inputs)
2025-10-10T00:53:04.4275776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4276157Z     features = self.features(x)
2025-10-10T00:53:04.4276518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4276902Z     new_features = layer(features)
2025-10-10T00:53:04.4277261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4277702Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4277912Z 
2025-10-10T00:53:04.4278022Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4278403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4278743Z     return mod(*inputs)
2025-10-10T00:53:04.4279086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4279466Z     features = self.features(x)
2025-10-10T00:53:04.4279832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4280217Z     new_features = layer(features)
2025-10-10T00:53:04.4280573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4281017Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4281223Z 
2025-10-10T00:53:04.4281333Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4281714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4282053Z     return mod(*inputs)
2025-10-10T00:53:04.4282390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4282764Z     features = self.features(x)
2025-10-10T00:53:04.4283122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4283198Z     new_features = layer(features)
2025-10-10T00:53:04.4283437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4283544Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4283833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4283926Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4283962Z 
2025-10-10T00:53:04.4284070Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4284283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4284350Z     return mod(*inputs)
2025-10-10T00:53:04.4284591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4284662Z     features = self.features(x)
2025-10-10T00:53:04.4284892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4284973Z     new_features = layer(features)
2025-10-10T00:53:04.4285201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4285316Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4285558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4285738Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4285750Z 
2025-10-10T00:53:04.4285857Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4286062Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4286136Z     return mod(*inputs)
2025-10-10T00:53:04.4286366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4286445Z     features = self.features(x)
2025-10-10T00:53:04.4286673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4286745Z     new_features = layer(features)
2025-10-10T00:53:04.4286985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4287094Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4287342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4287521Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4287525Z 
2025-10-10T00:53:04.4287641Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4287848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4287915Z     return mod(*inputs)
2025-10-10T00:53:04.4288154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4288226Z     features = self.features(x)
2025-10-10T00:53:04.4288470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4288546Z     new_features = layer(features)
2025-10-10T00:53:04.4288774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4288924Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4288928Z 
2025-10-10T00:53:04.4289033Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4289245Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4289312Z     return mod(*inputs)
2025-10-10T00:53:04.4289542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4289622Z     features = self.features(x)
2025-10-10T00:53:04.4289853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4290182Z     new_features = layer(features)
2025-10-10T00:53:04.4290445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4290671Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4290676Z 
2025-10-10T00:53:04.4290783Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4290988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4291069Z     return mod(*inputs)
2025-10-10T00:53:04.4291312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4291395Z     features = self.features(x)
2025-10-10T00:53:04.4291635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4291710Z     new_features = layer(features)
2025-10-10T00:53:04.4291963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4292077Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4292337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4292433Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4292437Z 
2025-10-10T00:53:04.4292546Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4292765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4292833Z     return mod(*inputs)
2025-10-10T00:53:04.4293138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4293221Z     features = self.features(x)
2025-10-10T00:53:04.4293473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4293550Z     new_features = layer(features)
2025-10-10T00:53:04.4293791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4293908Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4294159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4294347Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4294351Z 
2025-10-10T00:53:04.4294460Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4294672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4294749Z     return mod(*inputs)
2025-10-10T00:53:04.4294992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4295073Z     features = self.features(x)
2025-10-10T00:53:04.4295313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4295389Z     new_features = layer(features)
2025-10-10T00:53:04.4295634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4295742Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4295996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4296179Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4296183Z 
2025-10-10T00:53:04.4296299Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4296510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4296630Z     return mod(*inputs)
2025-10-10T00:53:04.4296880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4297005Z     features = self.features(x)
2025-10-10T00:53:04.4297258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4297332Z     new_features = layer(features)
2025-10-10T00:53:04.4297576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4297731Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4297735Z 
2025-10-10T00:53:04.4297844Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4298064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4298133Z     return mod(*inputs)
2025-10-10T00:53:04.4298386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4298462Z     features = self.features(x)
2025-10-10T00:53:04.4298705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4298786Z     new_features = layer(features)
2025-10-10T00:53:04.4299030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4299180Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4299184Z 
2025-10-10T00:53:04.4299294Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4299511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4299586Z     return mod(*inputs)
2025-10-10T00:53:04.4299830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4299913Z     features = self.features(x)
2025-10-10T00:53:04.4300158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4300233Z     new_features = layer(features)
2025-10-10T00:53:04.4300483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4300594Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4300853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4300946Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4300950Z 
2025-10-10T00:53:04.4301067Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4301280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4301350Z     return mod(*inputs)
2025-10-10T00:53:04.4301598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4301673Z     features = self.features(x)
2025-10-10T00:53:04.4301928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4302003Z     new_features = layer(features)
2025-10-10T00:53:04.4302254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4302370Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4302623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4302808Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4302812Z 
2025-10-10T00:53:04.4302962Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4303181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4303285Z     return mod(*inputs)
2025-10-10T00:53:04.4303532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4303613Z     features = self.features(x)
2025-10-10T00:53:04.4303858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4303941Z     new_features = layer(features)
2025-10-10T00:53:04.4304188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4304298Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4304555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4304736Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4304743Z 
2025-10-10T00:53:04.4304860Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4305070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4305145Z     return mod(*inputs)
2025-10-10T00:53:04.4305391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4305465Z     features = self.features(x)
2025-10-10T00:53:04.4305715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4305791Z     new_features = layer(features)
2025-10-10T00:53:04.4306046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4306193Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4306197Z 
2025-10-10T00:53:04.4306306Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4306529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4306598Z     return mod(*inputs)
2025-10-10T00:53:04.4306848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4306931Z     features = self.features(x)
2025-10-10T00:53:04.4307169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4307251Z     new_features = layer(features)
2025-10-10T00:53:04.4307492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4307636Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4307640Z 
2025-10-10T00:53:04.4307750Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4307963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4308034Z     return mod(*inputs)
2025-10-10T00:53:04.4308282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4308360Z     features = self.features(x)
2025-10-10T00:53:04.4308597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4308677Z     new_features = layer(features)
2025-10-10T00:53:04.4308915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4309021Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4309270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4309394Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4309428Z 
2025-10-10T00:53:04.4309543Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4309748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4309815Z     return mod(*inputs)
2025-10-10T00:53:04.4310062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4310136Z     features = self.features(x)
2025-10-10T00:53:04.4310378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4310450Z     new_features = layer(features)
2025-10-10T00:53:04.4310696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4310801Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4311043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4311230Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4311234Z 
2025-10-10T00:53:04.4311339Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4311549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4311615Z     return mod(*inputs)
2025-10-10T00:53:04.4311857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4311937Z     features = self.features(x)
2025-10-10T00:53:04.4312174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4312253Z     new_features = layer(features)
2025-10-10T00:53:04.4312485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4312600Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4312842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4313016Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4313020Z 
2025-10-10T00:53:04.4313132Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4313337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4313410Z     return mod(*inputs)
2025-10-10T00:53:04.4313638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4313708Z     features = self.features(x)
2025-10-10T00:53:04.4313947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4314020Z     new_features = layer(features)
2025-10-10T00:53:04.4314255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4314394Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4314398Z 
2025-10-10T00:53:04.4314510Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4314714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4314779Z     return mod(*inputs)
2025-10-10T00:53:04.4315014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4315085Z     features = self.features(x)
2025-10-10T00:53:04.4315324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4315434Z     new_features = layer(features)
2025-10-10T00:53:04.4315666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4315853Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4315856Z 
2025-10-10T00:53:04.4315961Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4316174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4316239Z     return mod(*inputs)
2025-10-10T00:53:04.4316471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4316547Z     features = self.features(x)
2025-10-10T00:53:04.4316775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4316854Z     new_features = layer(features)
2025-10-10T00:53:04.4317089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4317204Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4317445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4317542Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4317545Z 
2025-10-10T00:53:04.4317653Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4317847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4317915Z     return mod(*inputs)
2025-10-10T00:53:04.4318136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4318202Z     features = self.features(x)
2025-10-10T00:53:04.4318430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4318498Z     new_features = layer(features)
2025-10-10T00:53:04.4318728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4318828Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4319059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4319232Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4319235Z 
2025-10-10T00:53:04.4319335Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4319536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4319600Z     return mod(*inputs)
2025-10-10T00:53:04.4319827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4319898Z     features = self.features(x)
2025-10-10T00:53:04.4320117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4320199Z     new_features = layer(features)
2025-10-10T00:53:04.4320429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4320541Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4320783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4320955Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4320966Z 
2025-10-10T00:53:04.4321074Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4321286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4321405Z     return mod(*inputs)
2025-10-10T00:53:04.4321643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4321754Z     features = self.features(x)
2025-10-10T00:53:04.4321982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4322056Z     new_features = layer(features)
2025-10-10T00:53:04.4322288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4322425Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4322429Z 
2025-10-10T00:53:04.4322540Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4322749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4322809Z     return mod(*inputs)
2025-10-10T00:53:04.4323037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4323106Z     features = self.features(x)
2025-10-10T00:53:04.4323328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4323397Z     new_features = layer(features)
2025-10-10T00:53:04.4323613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4323752Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4323755Z 
2025-10-10T00:53:04.4323853Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4324066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4324131Z     return mod(*inputs)
2025-10-10T00:53:04.4324383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4324454Z     features = self.features(x)
2025-10-10T00:53:04.4324683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4324766Z     new_features = layer(features)
2025-10-10T00:53:04.4325006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4325117Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4325356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4325447Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4325451Z 
2025-10-10T00:53:04.4325564Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4325777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4325847Z     return mod(*inputs)
2025-10-10T00:53:04.4326070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4326147Z     features = self.features(x)
2025-10-10T00:53:04.4326365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4326433Z     new_features = layer(features)
2025-10-10T00:53:04.4326659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4326758Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4326990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4327160Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4327164Z 
2025-10-10T00:53:04.4327269Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4327514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4327618Z     return mod(*inputs)
2025-10-10T00:53:04.4327868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4327938Z     features = self.features(x)
2025-10-10T00:53:04.4328182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4328262Z     new_features = layer(features)
2025-10-10T00:53:04.4328501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4328615Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4328863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4329046Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4329052Z 
2025-10-10T00:53:04.4329159Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4329365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4329440Z     return mod(*inputs)
2025-10-10T00:53:04.4329693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4329774Z     features = self.features(x)
2025-10-10T00:53:04.4330015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4330091Z     new_features = layer(features)
2025-10-10T00:53:04.4330345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4330487Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4330494Z 
2025-10-10T00:53:04.4330615Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4330833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4330909Z     return mod(*inputs)
2025-10-10T00:53:04.4331158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4331231Z     features = self.features(x)
2025-10-10T00:53:04.4331479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4331553Z     new_features = layer(features)
2025-10-10T00:53:04.4331806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4331951Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4331954Z 
2025-10-10T00:53:04.4332067Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4332289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4332362Z     return mod(*inputs)
2025-10-10T00:53:04.4332618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4332692Z     features = self.features(x)
2025-10-10T00:53:04.4333008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4333099Z     new_features = layer(features)
2025-10-10T00:53:04.4333343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4333464Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4333720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4333867Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4333871Z 
2025-10-10T00:53:04.4334018Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4334230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4334309Z     return mod(*inputs)
2025-10-10T00:53:04.4334546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4334634Z     features = self.features(x)
2025-10-10T00:53:04.4334854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4334926Z     new_features = layer(features)
2025-10-10T00:53:04.4335159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4335262Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4335502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4335671Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4335675Z 
2025-10-10T00:53:04.4335792Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4336003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4336071Z     return mod(*inputs)
2025-10-10T00:53:04.4336316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4336390Z     features = self.features(x)
2025-10-10T00:53:04.4336632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4336707Z     new_features = layer(features)
2025-10-10T00:53:04.4336948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4337065Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4337317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4337502Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4337506Z 
2025-10-10T00:53:04.4337614Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4337832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4337901Z     return mod(*inputs)
2025-10-10T00:53:04.4338139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4338221Z     features = self.features(x)
2025-10-10T00:53:04.4338461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4338544Z     new_features = layer(features)
2025-10-10T00:53:04.4338783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4338926Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4338930Z 
2025-10-10T00:53:04.4339046Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4339256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4339332Z     return mod(*inputs)
2025-10-10T00:53:04.4339570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4339645Z     features = self.features(x)
2025-10-10T00:53:04.4339890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4339966Z     new_features = layer(features)
2025-10-10T00:53:04.4340251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4340427Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4340430Z 
2025-10-10T00:53:04.4340549Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4340760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4340828Z     return mod(*inputs)
2025-10-10T00:53:04.4341074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4341148Z     features = self.features(x)
2025-10-10T00:53:04.4341395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4341469Z     new_features = layer(features)
2025-10-10T00:53:04.4341712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4341835Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4342086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4342183Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4342187Z 
2025-10-10T00:53:04.4342294Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4342502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4342578Z     return mod(*inputs)
2025-10-10T00:53:04.4342825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4342905Z     features = self.features(x)
2025-10-10T00:53:04.4343144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4343229Z     new_features = layer(features)
2025-10-10T00:53:04.4343469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4343581Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4343849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4344022Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4344026Z 
2025-10-10T00:53:04.4344139Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4344344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4344408Z     return mod(*inputs)
2025-10-10T00:53:04.4344694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4344767Z     features = self.features(x)
2025-10-10T00:53:04.4345005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4345080Z     new_features = layer(features)
2025-10-10T00:53:04.4345316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4345423Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4345664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4345846Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4345849Z 
2025-10-10T00:53:04.4345957Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4346172Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4346240Z     return mod(*inputs)
2025-10-10T00:53:04.4346527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4346642Z     features = self.features(x)
2025-10-10T00:53:04.4346876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4346955Z     new_features = layer(features)
2025-10-10T00:53:04.4347195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4347336Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4347348Z 
2025-10-10T00:53:04.4347457Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4347661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4347736Z     return mod(*inputs)
2025-10-10T00:53:04.4347972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4348051Z     features = self.features(x)
2025-10-10T00:53:04.4348288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4348361Z     new_features = layer(features)
2025-10-10T00:53:04.4348599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4348731Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4348734Z 
2025-10-10T00:53:04.4348842Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4349035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4349099Z     return mod(*inputs)
2025-10-10T00:53:04.4349326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4349399Z     features = self.features(x)
2025-10-10T00:53:04.4349624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4349696Z     new_features = layer(features)
2025-10-10T00:53:04.4349923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4350024Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4350253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4350348Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4350352Z 
2025-10-10T00:53:04.4350456Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4350666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4350732Z     return mod(*inputs)
2025-10-10T00:53:04.4350968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4351052Z     features = self.features(x)
2025-10-10T00:53:04.4351284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4351363Z     new_features = layer(features)
2025-10-10T00:53:04.4351607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4351712Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4351960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4352132Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4352136Z 
2025-10-10T00:53:04.4352250Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4352492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4352602Z     return mod(*inputs)
2025-10-10T00:53:04.4352838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4352909Z     features = self.features(x)
2025-10-10T00:53:04.4353149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4353222Z     new_features = layer(features)
2025-10-10T00:53:04.4353468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4353575Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4353816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4354000Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4354004Z 
2025-10-10T00:53:04.4354114Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4354331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4354398Z     return mod(*inputs)
2025-10-10T00:53:04.4354645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4354718Z     features = self.features(x)
2025-10-10T00:53:04.4354957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4355038Z     new_features = layer(features)
2025-10-10T00:53:04.4355269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4355416Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4355419Z 
2025-10-10T00:53:04.4355530Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4355738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4355814Z     return mod(*inputs)
2025-10-10T00:53:04.4356047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4356125Z     features = self.features(x)
2025-10-10T00:53:04.4356359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4356431Z     new_features = layer(features)
2025-10-10T00:53:04.4356669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4356807Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4356811Z 
2025-10-10T00:53:04.4356925Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4357138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4357216Z     return mod(*inputs)
2025-10-10T00:53:04.4357449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4357520Z     features = self.features(x)
2025-10-10T00:53:04.4357762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4357834Z     new_features = layer(features)
2025-10-10T00:53:04.4358070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4358177Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4358419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4358582Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4358587Z 
2025-10-10T00:53:04.4358693Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4358943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4359010Z     return mod(*inputs)
2025-10-10T00:53:04.4359248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4359319Z     features = self.features(x)
2025-10-10T00:53:04.4359550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4359627Z     new_features = layer(features)
2025-10-10T00:53:04.4359855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4359968Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4360209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4360385Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4360388Z 
2025-10-10T00:53:04.4360501Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4360705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4360781Z     return mod(*inputs)
2025-10-10T00:53:04.4361012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4361084Z     features = self.features(x)
2025-10-10T00:53:04.4361319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4361392Z     new_features = layer(features)
2025-10-10T00:53:04.4361632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4361737Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4361988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4362165Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4362168Z 
2025-10-10T00:53:04.4362275Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4362487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4362553Z     return mod(*inputs)
2025-10-10T00:53:04.4362791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4362862Z     features = self.features(x)
2025-10-10T00:53:04.4363092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4363177Z     new_features = layer(features)
2025-10-10T00:53:04.4363404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4363555Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4363559Z 
2025-10-10T00:53:04.4363665Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4363874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4363942Z     return mod(*inputs)
2025-10-10T00:53:04.4364178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4364259Z     features = self.features(x)
2025-10-10T00:53:04.4364488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4364569Z     new_features = layer(features)
2025-10-10T00:53:04.4364831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4365009Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4365012Z 
2025-10-10T00:53:04.4365126Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4365351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4365425Z     return mod(*inputs)
2025-10-10T00:53:04.4365658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4365729Z     features = self.features(x)
2025-10-10T00:53:04.4365970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4366041Z     new_features = layer(features)
2025-10-10T00:53:04.4366295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4366402Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4366654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4366743Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4366747Z 
2025-10-10T00:53:04.4366853Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4367063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4367129Z     return mod(*inputs)
2025-10-10T00:53:04.4367373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4367443Z     features = self.features(x)
2025-10-10T00:53:04.4367679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4367766Z     new_features = layer(features)
2025-10-10T00:53:04.4368003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4368123Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4368374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4368554Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4368565Z 
2025-10-10T00:53:04.4368673Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4368886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4368960Z     return mod(*inputs)
2025-10-10T00:53:04.4369202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4369283Z     features = self.features(x)
2025-10-10T00:53:04.4369526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4369605Z     new_features = layer(features)
2025-10-10T00:53:04.4369854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4369963Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4370219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4370397Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4370400Z 
2025-10-10T00:53:04.4370517Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4370728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4370797Z     return mod(*inputs)
2025-10-10T00:53:04.4371087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4371193Z     features = self.features(x)
2025-10-10T00:53:04.4371449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4371527Z     new_features = layer(features)
2025-10-10T00:53:04.4371778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4371925Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4371929Z 
2025-10-10T00:53:04.4372037Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4372261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4372328Z     return mod(*inputs)
2025-10-10T00:53:04.4372581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4372663Z     features = self.features(x)
2025-10-10T00:53:04.4372908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4373068Z     new_features = layer(features)
2025-10-10T00:53:04.4373314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4373466Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4373470Z 
2025-10-10T00:53:04.4373578Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4373788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4373864Z     return mod(*inputs)
2025-10-10T00:53:04.4374112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4374199Z     features = self.features(x)
2025-10-10T00:53:04.4374442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4374518Z     new_features = layer(features)
2025-10-10T00:53:04.4374754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4374861Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4375110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4375202Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4375205Z 
2025-10-10T00:53:04.4375310Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4375523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4375589Z     return mod(*inputs)
2025-10-10T00:53:04.4375830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4375907Z     features = self.features(x)
2025-10-10T00:53:04.4376145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4376219Z     new_features = layer(features)
2025-10-10T00:53:04.4376447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4376563Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4376910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4377108Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4377112Z 
2025-10-10T00:53:04.4377217Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4377468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4377579Z     return mod(*inputs)
2025-10-10T00:53:04.4377813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4377895Z     features = self.features(x)
2025-10-10T00:53:04.4378128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4378199Z     new_features = layer(features)
2025-10-10T00:53:04.4378439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4378546Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4378794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4378969Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4378975Z 
2025-10-10T00:53:04.4379090Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4379297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4379364Z     return mod(*inputs)
2025-10-10T00:53:04.4379606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4379678Z     features = self.features(x)
2025-10-10T00:53:04.4379921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4379995Z     new_features = layer(features)
2025-10-10T00:53:04.4380229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4380375Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4380378Z 
2025-10-10T00:53:04.4380486Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4380698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4380768Z     return mod(*inputs)
2025-10-10T00:53:04.4381010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4381081Z     features = self.features(x)
2025-10-10T00:53:04.4381312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4381390Z     new_features = layer(features)
2025-10-10T00:53:04.4381622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4381766Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4381769Z 
2025-10-10T00:53:04.4381875Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4382083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4382159Z     return mod(*inputs)
2025-10-10T00:53:04.4382393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4382472Z     features = self.features(x)
2025-10-10T00:53:04.4382705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4382778Z     new_features = layer(features)
2025-10-10T00:53:04.4383020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4383126Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4383376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4383463Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4383505Z 
2025-10-10T00:53:04.4383619Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4383857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4383925Z     return mod(*inputs)
2025-10-10T00:53:04.4384163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4384235Z     features = self.features(x)
2025-10-10T00:53:04.4384471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4384544Z     new_features = layer(features)
2025-10-10T00:53:04.4384778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4384895Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4385145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4385340Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4385346Z 
2025-10-10T00:53:04.4385451Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4385662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4385730Z     return mod(*inputs)
2025-10-10T00:53:04.4385961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4386042Z     features = self.features(x)
2025-10-10T00:53:04.4386270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4386349Z     new_features = layer(features)
2025-10-10T00:53:04.4386579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4386683Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4386931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4387102Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4387106Z 
2025-10-10T00:53:04.4387219Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4387429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4387502Z     return mod(*inputs)
2025-10-10T00:53:04.4387739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4387813Z     features = self.features(x)
2025-10-10T00:53:04.4388055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4388133Z     new_features = layer(features)
2025-10-10T00:53:04.4388376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4388529Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4388532Z 
2025-10-10T00:53:04.4388637Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4388846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4388912Z     return mod(*inputs)
2025-10-10T00:53:04.4389154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4389227Z     features = self.features(x)
2025-10-10T00:53:04.4389460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4389542Z     new_features = layer(features)
2025-10-10T00:53:04.4389814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4390187Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4390193Z 
2025-10-10T00:53:04.4390308Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4390528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4390597Z     return mod(*inputs)
2025-10-10T00:53:04.4390839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4390923Z     features = self.features(x)
2025-10-10T00:53:04.4391162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4391244Z     new_features = layer(features)
2025-10-10T00:53:04.4391485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4391604Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4391863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4391954Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4391957Z 
2025-10-10T00:53:04.4392073Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4392283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4392351Z     return mod(*inputs)
2025-10-10T00:53:04.4392597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4392671Z     features = self.features(x)
2025-10-10T00:53:04.4392917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4392993Z     new_features = layer(features)
2025-10-10T00:53:04.4393242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4393354Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4393604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4393795Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4393799Z 
2025-10-10T00:53:04.4393909Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4394128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4394198Z     return mod(*inputs)
2025-10-10T00:53:04.4394436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4394518Z     features = self.features(x)
2025-10-10T00:53:04.4394758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4394845Z     new_features = layer(features)
2025-10-10T00:53:04.4395084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4395203Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4395450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4395628Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4395631Z 
2025-10-10T00:53:04.4395748Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4395955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4396030Z     return mod(*inputs)
2025-10-10T00:53:04.4396346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4397084Z     features = self.features(x)
2025-10-10T00:53:04.4397338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4397415Z     new_features = layer(features)
2025-10-10T00:53:04.4397666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4397812Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4397816Z 
2025-10-10T00:53:04.4397933Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4398147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4398215Z     return mod(*inputs)
2025-10-10T00:53:04.4398466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4398545Z     features = self.features(x)
2025-10-10T00:53:04.4398795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4398873Z     new_features = layer(features)
2025-10-10T00:53:04.4399113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4399266Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4399270Z 
2025-10-10T00:53:04.4399378Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4399602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4399669Z     return mod(*inputs)
2025-10-10T00:53:04.4399910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4399992Z     features = self.features(x)
2025-10-10T00:53:04.4400237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4400321Z     new_features = layer(features)
2025-10-10T00:53:04.4400562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4400679Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4400931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4401022Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4401026Z 
2025-10-10T00:53:04.4401140Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4401352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4401428Z     return mod(*inputs)
2025-10-10T00:53:04.4401670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4401744Z     features = self.features(x)
2025-10-10T00:53:04.4401994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4402070Z     new_features = layer(features)
2025-10-10T00:53:04.4402317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4402424Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4402683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4402869Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4402873Z 
2025-10-10T00:53:04.4402982Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4403268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4403338Z     return mod(*inputs)
2025-10-10T00:53:04.4403619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4403692Z     features = self.features(x)
2025-10-10T00:53:04.4403930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4404013Z     new_features = layer(features)
2025-10-10T00:53:04.4404253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4404368Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4404618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4404800Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4404812Z 
2025-10-10T00:53:04.4404923Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4405138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4405213Z     return mod(*inputs)
2025-10-10T00:53:04.4405461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4405541Z     features = self.features(x)
2025-10-10T00:53:04.4405787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4405862Z     new_features = layer(features)
2025-10-10T00:53:04.4406106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4406251Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4406255Z 
2025-10-10T00:53:04.4406375Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4406587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4406660Z     return mod(*inputs)
2025-10-10T00:53:04.4406919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4406993Z     features = self.features(x)
2025-10-10T00:53:04.4407242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4407316Z     new_features = layer(features)
2025-10-10T00:53:04.4407564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4407716Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4407719Z 
2025-10-10T00:53:04.4408108Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4408331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4408399Z     return mod(*inputs)
2025-10-10T00:53:04.4408650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4408725Z     features = self.features(x)
2025-10-10T00:53:04.4408971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4409054Z     new_features = layer(features)
2025-10-10T00:53:04.4409301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4409419Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4409668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4409761Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4409773Z 
2025-10-10T00:53:04.4409925Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4410181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4410258Z     return mod(*inputs)
2025-10-10T00:53:04.4410507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4410588Z     features = self.features(x)
2025-10-10T00:53:04.4410839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4410914Z     new_features = layer(features)
2025-10-10T00:53:04.4411160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4411270Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4411528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4411714Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4411720Z 
2025-10-10T00:53:04.4411829Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4412049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4412118Z     return mod(*inputs)
2025-10-10T00:53:04.4412370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4412443Z     features = self.features(x)
2025-10-10T00:53:04.4412698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4412774Z     new_features = layer(features)
2025-10-10T00:53:04.4413121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4413259Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4413511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4413701Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4413705Z 
2025-10-10T00:53:04.4413816Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4414029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4414109Z     return mod(*inputs)
2025-10-10T00:53:04.4414359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4414442Z     features = self.features(x)
2025-10-10T00:53:04.4414692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4414767Z     new_features = layer(features)
2025-10-10T00:53:04.4415031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4415175Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4415178Z 
2025-10-10T00:53:04.4415291Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4415494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4415570Z     return mod(*inputs)
2025-10-10T00:53:04.4415811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4415882Z     features = self.features(x)
2025-10-10T00:53:04.4416123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4416196Z     new_features = layer(features)
2025-10-10T00:53:04.4416495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4416636Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4416673Z 
2025-10-10T00:53:04.4416782Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4417004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4417073Z     return mod(*inputs)
2025-10-10T00:53:04.4417315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4417396Z     features = self.features(x)
2025-10-10T00:53:04.4417631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4417705Z     new_features = layer(features)
2025-10-10T00:53:04.4417930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4418044Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4418284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4418382Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4418386Z 
2025-10-10T00:53:04.4418490Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4418691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4418764Z     return mod(*inputs)
2025-10-10T00:53:04.4418997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4419073Z     features = self.features(x)
2025-10-10T00:53:04.4419299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4419371Z     new_features = layer(features)
2025-10-10T00:53:04.4419609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4419716Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4419969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4420147Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4420151Z 
2025-10-10T00:53:04.4420267Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4420477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4420545Z     return mod(*inputs)
2025-10-10T00:53:04.4420793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4420868Z     features = self.features(x)
2025-10-10T00:53:04.4421112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4421190Z     new_features = layer(features)
2025-10-10T00:53:04.4421429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4421545Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4421784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4421965Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4421968Z 
2025-10-10T00:53:04.4422072Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4422283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4422350Z     return mod(*inputs)
2025-10-10T00:53:04.4422623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4422710Z     features = self.features(x)
2025-10-10T00:53:04.4422980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4423063Z     new_features = layer(features)
2025-10-10T00:53:04.4423306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4423446Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4423450Z 
2025-10-10T00:53:04.4423564Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4423768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4423844Z     return mod(*inputs)
2025-10-10T00:53:04.4424074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4424151Z     features = self.features(x)
2025-10-10T00:53:04.4424388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4424466Z     new_features = layer(features)
2025-10-10T00:53:04.4424710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4424852Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4424856Z 
2025-10-10T00:53:04.4424972Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4425183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4425251Z     return mod(*inputs)
2025-10-10T00:53:04.4425493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4425566Z     features = self.features(x)
2025-10-10T00:53:04.4425809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4425888Z     new_features = layer(features)
2025-10-10T00:53:04.4426140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4426259Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4426510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4426604Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4426608Z 
2025-10-10T00:53:04.4426714Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4426923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4426988Z     return mod(*inputs)
2025-10-10T00:53:04.4427220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4427298Z     features = self.features(x)
2025-10-10T00:53:04.4427531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4427611Z     new_features = layer(features)
2025-10-10T00:53:04.4427847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4427955Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4428211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4428392Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4428395Z 
2025-10-10T00:53:04.4428511Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4428720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4428835Z     return mod(*inputs)
2025-10-10T00:53:04.4429075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4429186Z     features = self.features(x)
2025-10-10T00:53:04.4429431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4429507Z     new_features = layer(features)
2025-10-10T00:53:04.4429749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4429859Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4430106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4430298Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4430301Z 
2025-10-10T00:53:04.4430414Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4430628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4430700Z     return mod(*inputs)
2025-10-10T00:53:04.4430934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4431017Z     features = self.features(x)
2025-10-10T00:53:04.4431254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4431340Z     new_features = layer(features)
2025-10-10T00:53:04.4431578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4431728Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4431732Z 
2025-10-10T00:53:04.4431843Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4432058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4432139Z     return mod(*inputs)
2025-10-10T00:53:04.4432379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4432459Z     features = self.features(x)
2025-10-10T00:53:04.4432696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4432770Z     new_features = layer(features)
2025-10-10T00:53:04.4433013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4433156Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4433160Z 
2025-10-10T00:53:04.4433276Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4433488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4433564Z     return mod(*inputs)
2025-10-10T00:53:04.4433805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4433877Z     features = self.features(x)
2025-10-10T00:53:04.4434132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4434207Z     new_features = layer(features)
2025-10-10T00:53:04.4434451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4434563Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4434812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4434912Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4434916Z 
2025-10-10T00:53:04.4435061Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4435283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4435390Z     return mod(*inputs)
2025-10-10T00:53:04.4435634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4435717Z     features = self.features(x)
2025-10-10T00:53:04.4435959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4436041Z     new_features = layer(features)
2025-10-10T00:53:04.4436284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4436401Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4436661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4436844Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4436850Z 
2025-10-10T00:53:04.4436969Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4437186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4437262Z     return mod(*inputs)
2025-10-10T00:53:04.4437509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4437583Z     features = self.features(x)
2025-10-10T00:53:04.4437837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4437906Z     new_features = layer(features)
2025-10-10T00:53:04.4438136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4438236Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4438481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4438666Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4438670Z 
2025-10-10T00:53:04.4438776Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4438991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4439058Z     return mod(*inputs)
2025-10-10T00:53:04.4439304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4439376Z     features = self.features(x)
2025-10-10T00:53:04.4439611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4439695Z     new_features = layer(features)
2025-10-10T00:53:04.4439932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4440085Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4440088Z 
2025-10-10T00:53:04.4440194Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4440400Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4440476Z     return mod(*inputs)
2025-10-10T00:53:04.4440712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4440790Z     features = self.features(x)
2025-10-10T00:53:04.4441029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4441108Z     new_features = layer(features)
2025-10-10T00:53:04.4441391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4441529Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4441564Z 
2025-10-10T00:53:04.4441679Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4441882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4441957Z     return mod(*inputs)
2025-10-10T00:53:04.4442186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4442257Z     features = self.features(x)
2025-10-10T00:53:04.4442496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4442571Z     new_features = layer(features)
2025-10-10T00:53:04.4442803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4442914Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4443161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4443262Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4443266Z 
2025-10-10T00:53:04.4443373Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4443599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4443667Z     return mod(*inputs)
2025-10-10T00:53:04.4443909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4443981Z     features = self.features(x)
2025-10-10T00:53:04.4444210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4444291Z     new_features = layer(features)
2025-10-10T00:53:04.4444522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4444636Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4444885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4445047Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4445059Z 
2025-10-10T00:53:04.4445159Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4445352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4445421Z     return mod(*inputs)
2025-10-10T00:53:04.4445638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4445715Z     features = self.features(x)
2025-10-10T00:53:04.4445934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4446003Z     new_features = layer(features)
2025-10-10T00:53:04.4446246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4446350Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4446598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4446768Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4446772Z 
2025-10-10T00:53:04.4446877Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4447089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4447155Z     return mod(*inputs)
2025-10-10T00:53:04.4447433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4447507Z     features = self.features(x)
2025-10-10T00:53:04.4447769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4447850Z     new_features = layer(features)
2025-10-10T00:53:04.4448076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4448221Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4448224Z 
2025-10-10T00:53:04.4448330Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4448549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4448616Z     return mod(*inputs)
2025-10-10T00:53:04.4448845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4448924Z     features = self.features(x)
2025-10-10T00:53:04.4449155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4449237Z     new_features = layer(features)
2025-10-10T00:53:04.4449464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4449601Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4449613Z 
2025-10-10T00:53:04.4449718Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4449921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4449994Z     return mod(*inputs)
2025-10-10T00:53:04.4450224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4450301Z     features = self.features(x)
2025-10-10T00:53:04.4450531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4450606Z     new_features = layer(features)
2025-10-10T00:53:04.4450845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4450952Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4451199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4451287Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4451290Z 
2025-10-10T00:53:04.4451395Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4451619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4451687Z     return mod(*inputs)
2025-10-10T00:53:04.4451923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4451996Z     features = self.features(x)
2025-10-10T00:53:04.4452227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4452310Z     new_features = layer(features)
2025-10-10T00:53:04.4452538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4452651Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4452893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4453167Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4453173Z 
2025-10-10T00:53:04.4453283Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4453496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4453615Z     return mod(*inputs)
2025-10-10T00:53:04.4453856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4453974Z     features = self.features(x)
2025-10-10T00:53:04.4454226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4454301Z     new_features = layer(features)
2025-10-10T00:53:04.4454559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4454668Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4454934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4455114Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4455118Z 
2025-10-10T00:53:04.4455242Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4455457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4455529Z     return mod(*inputs)
2025-10-10T00:53:04.4455781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4455854Z     features = self.features(x)
2025-10-10T00:53:04.4456104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4456180Z     new_features = layer(features)
2025-10-10T00:53:04.4456428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4456578Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4456582Z 
2025-10-10T00:53:04.4456691Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4456919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4456990Z     return mod(*inputs)
2025-10-10T00:53:04.4457237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4457319Z     features = self.features(x)
2025-10-10T00:53:04.4457561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4457645Z     new_features = layer(features)
2025-10-10T00:53:04.4457889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4458040Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4458043Z 
2025-10-10T00:53:04.4458153Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4458372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4458451Z     return mod(*inputs)
2025-10-10T00:53:04.4458694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4458779Z     features = self.features(x)
2025-10-10T00:53:04.4459022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4459097Z     new_features = layer(features)
2025-10-10T00:53:04.4459344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4459454Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4459718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4459808Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4459811Z 
2025-10-10T00:53:04.4459925Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4460213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4460321Z     return mod(*inputs)
2025-10-10T00:53:04.4460572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4460648Z     features = self.features(x)
2025-10-10T00:53:04.4460898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4460973Z     new_features = layer(features)
2025-10-10T00:53:04.4461214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4461331Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4461583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4461776Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4461782Z 
2025-10-10T00:53:04.4461894Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4462114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4462182Z     return mod(*inputs)
2025-10-10T00:53:04.4462424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4462507Z     features = self.features(x)
2025-10-10T00:53:04.4462752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4462833Z     new_features = layer(features)
2025-10-10T00:53:04.4463078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4463189Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4463454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4463638Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4463642Z 
2025-10-10T00:53:04.4463760Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4463976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4464044Z     return mod(*inputs)
2025-10-10T00:53:04.4464297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4464372Z     features = self.features(x)
2025-10-10T00:53:04.4464621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4464696Z     new_features = layer(features)
2025-10-10T00:53:04.4464948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4465097Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4465100Z 
2025-10-10T00:53:04.4465211Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4465437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4465504Z     return mod(*inputs)
2025-10-10T00:53:04.4465759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4465833Z     features = self.features(x)
2025-10-10T00:53:04.4466089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4466169Z     new_features = layer(features)
2025-10-10T00:53:04.4466401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4466591Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4466625Z 
2025-10-10T00:53:04.4466732Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4466944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4467012Z     return mod(*inputs)
2025-10-10T00:53:04.4467241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4467320Z     features = self.features(x)
2025-10-10T00:53:04.4467548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4467629Z     new_features = layer(features)
2025-10-10T00:53:04.4467859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4467965Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4468215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4468306Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4468309Z 
2025-10-10T00:53:04.4468424Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4468637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4468705Z     return mod(*inputs)
2025-10-10T00:53:04.4468957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4469031Z     features = self.features(x)
2025-10-10T00:53:04.4469278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4469353Z     new_features = layer(features)
2025-10-10T00:53:04.4469598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4469715Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4469963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4470152Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4470155Z 
2025-10-10T00:53:04.4470264Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4470539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4470618Z     return mod(*inputs)
2025-10-10T00:53:04.4470856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4470936Z     features = self.features(x)
2025-10-10T00:53:04.4471173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4471252Z     new_features = layer(features)
2025-10-10T00:53:04.4471486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4471592Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4471843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4472018Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4472021Z 
2025-10-10T00:53:04.4472136Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4472350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4472424Z     return mod(*inputs)
2025-10-10T00:53:04.4472655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4472761Z     features = self.features(x)
2025-10-10T00:53:04.4473002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4473112Z     new_features = layer(features)
2025-10-10T00:53:04.4473358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4473498Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4473502Z 
2025-10-10T00:53:04.4473611Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4473844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4473911Z     return mod(*inputs)
2025-10-10T00:53:04.4474150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4474221Z     features = self.features(x)
2025-10-10T00:53:04.4474467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4474545Z     new_features = layer(features)
2025-10-10T00:53:04.4474790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4474941Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4474945Z 
2025-10-10T00:53:04.4475045Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4475135Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4475216Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4475295Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4475381Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4475459Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4475572Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4475785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4475854Z     return mod(*inputs)
2025-10-10T00:53:04.4476095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4476167Z     features = self.features(x)
2025-10-10T00:53:04.4476414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-10-10T00:53:04.4476492Z     return torch.cat(features, 1)
2025-10-10T00:53:04.4476496Z 
2025-10-10T00:53:04.4476601Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4476823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4476888Z     return mod(*inputs)
2025-10-10T00:53:04.4477134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4477205Z     features = self.features(x)
2025-10-10T00:53:04.4477211Z 
2025-10-10T00:53:04.4477316Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4477531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4477597Z     return mod(*inputs)
2025-10-10T00:53:04.4477840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4477911Z     features = self.features(x)
2025-10-10T00:53:04.4477914Z 
2025-10-10T00:53:04.4478027Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4478242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4478308Z     return mod(*inputs)
2025-10-10T00:53:04.4478547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4478621Z     features = self.features(x)
2025-10-10T00:53:04.4478905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4479016Z     new_features = layer(features)
2025-10-10T00:53:04.4479253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4479372Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4479624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4479805Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4479808Z 
2025-10-10T00:53:04.4479915Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4480130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4480197Z     return mod(*inputs)
2025-10-10T00:53:04.4480432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4480514Z     features = self.features(x)
2025-10-10T00:53:04.4480747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4480829Z     new_features = layer(features)
2025-10-10T00:53:04.4481069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4481213Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4481216Z 
2025-10-10T00:53:04.4481332Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4481542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4481618Z     return mod(*inputs)
2025-10-10T00:53:04.4481856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4481934Z     features = self.features(x)
2025-10-10T00:53:04.4482180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4482259Z     new_features = layer(features)
2025-10-10T00:53:04.4482505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4482646Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4482650Z 
2025-10-10T00:53:04.4482766Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4482976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4483044Z     return mod(*inputs)
2025-10-10T00:53:04.4483291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4483365Z     features = self.features(x)
2025-10-10T00:53:04.4483614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4483693Z     new_features = layer(features)
2025-10-10T00:53:04.4483932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4484052Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4484299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4484408Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4484412Z 
2025-10-10T00:53:04.4484519Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4484735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4484804Z     return mod(*inputs)
2025-10-10T00:53:04.4485078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4485162Z     features = self.features(x)
2025-10-10T00:53:04.4485443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4485526Z     new_features = layer(features)
2025-10-10T00:53:04.4485762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4485873Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4486126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4486304Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4486308Z 
2025-10-10T00:53:04.4486423Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4486636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4486703Z     return mod(*inputs)
2025-10-10T00:53:04.4486951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4487025Z     features = self.features(x)
2025-10-10T00:53:04.4487268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4487341Z     new_features = layer(features)
2025-10-10T00:53:04.4487584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4487692Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4487938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4488125Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4488129Z 
2025-10-10T00:53:04.4488240Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4488459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4488529Z     return mod(*inputs)
2025-10-10T00:53:04.4488763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4488845Z     features = self.features(x)
2025-10-10T00:53:04.4489077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4489164Z     new_features = layer(features)
2025-10-10T00:53:04.4489397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4489537Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4489550Z 
2025-10-10T00:53:04.4489804Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4490232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4490321Z     return mod(*inputs)
2025-10-10T00:53:04.4490573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4490654Z     features = self.features(x)
2025-10-10T00:53:04.4490903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4490978Z     new_features = layer(features)
2025-10-10T00:53:04.4491227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4491371Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4491374Z 
2025-10-10T00:53:04.4491493Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4491786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4491856Z     return mod(*inputs)
2025-10-10T00:53:04.4492154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4492228Z     features = self.features(x)
2025-10-10T00:53:04.4492474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4492550Z     new_features = layer(features)
2025-10-10T00:53:04.4492795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4492907Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4493391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4493499Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4493503Z 
2025-10-10T00:53:04.4493620Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4493841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4493914Z     return mod(*inputs)
2025-10-10T00:53:04.4494154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4494237Z     features = self.features(x)
2025-10-10T00:53:04.4494482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4494564Z     new_features = layer(features)
2025-10-10T00:53:04.4494811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4494921Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4495183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4495367Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4495375Z 
2025-10-10T00:53:04.4495494Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4495708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4495787Z     return mod(*inputs)
2025-10-10T00:53:04.4496034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4496109Z     features = self.features(x)
2025-10-10T00:53:04.4496355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4496432Z     new_features = layer(features)
2025-10-10T00:53:04.4496682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4496793Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4497042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4497233Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4497237Z 
2025-10-10T00:53:04.4497347Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4497572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4497641Z     return mod(*inputs)
2025-10-10T00:53:04.4497897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4497970Z     features = self.features(x)
2025-10-10T00:53:04.4498273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4498357Z     new_features = layer(features)
2025-10-10T00:53:04.4498651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4498850Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4498854Z 
2025-10-10T00:53:04.4498961Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4499167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4499243Z     return mod(*inputs)
2025-10-10T00:53:04.4499488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4499566Z     features = self.features(x)
2025-10-10T00:53:04.4499809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4499882Z     new_features = layer(features)
2025-10-10T00:53:04.4500172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4500310Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4500316Z 
2025-10-10T00:53:04.4500431Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4500641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4500717Z     return mod(*inputs)
2025-10-10T00:53:04.4500954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4501024Z     features = self.features(x)
2025-10-10T00:53:04.4501266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4501339Z     new_features = layer(features)
2025-10-10T00:53:04.4501581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4501690Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4501935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4502036Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4502040Z 
2025-10-10T00:53:04.4502144Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4502360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4502427Z     return mod(*inputs)
2025-10-10T00:53:04.4502669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4502742Z     features = self.features(x)
2025-10-10T00:53:04.4502974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4503057Z     new_features = layer(features)
2025-10-10T00:53:04.4503295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4503411Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4503657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4503832Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4503835Z 
2025-10-10T00:53:04.4503950Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4504155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4504228Z     return mod(*inputs)
2025-10-10T00:53:04.4504464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4504535Z     features = self.features(x)
2025-10-10T00:53:04.4504815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4504888Z     new_features = layer(features)
2025-10-10T00:53:04.4505157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4505261Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4505507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4505679Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4505683Z 
2025-10-10T00:53:04.4505789Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4506005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4506072Z     return mod(*inputs)
2025-10-10T00:53:04.4506310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4506381Z     features = self.features(x)
2025-10-10T00:53:04.4506613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4506691Z     new_features = layer(features)
2025-10-10T00:53:04.4506926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4507073Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4507076Z 
2025-10-10T00:53:04.4507181Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4507392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4507460Z     return mod(*inputs)
2025-10-10T00:53:04.4507689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4507771Z     features = self.features(x)
2025-10-10T00:53:04.4508000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4508084Z     new_features = layer(features)
2025-10-10T00:53:04.4508312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4508450Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4508454Z 
2025-10-10T00:53:04.4508564Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4508767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4508840Z     return mod(*inputs)
2025-10-10T00:53:04.4509070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4509142Z     features = self.features(x)
2025-10-10T00:53:04.4509386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4509463Z     new_features = layer(features)
2025-10-10T00:53:04.4509700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4509804Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4510049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4510138Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4510141Z 
2025-10-10T00:53:04.4510246Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4510458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4510524Z     return mod(*inputs)
2025-10-10T00:53:04.4510812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4510889Z     features = self.features(x)
2025-10-10T00:53:04.4511157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4511239Z     new_features = layer(features)
2025-10-10T00:53:04.4511470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4511584Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4511824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4512004Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4512007Z 
2025-10-10T00:53:04.4512111Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4512315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4512394Z     return mod(*inputs)
2025-10-10T00:53:04.4512628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4512708Z     features = self.features(x)
2025-10-10T00:53:04.4512935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4513008Z     new_features = layer(features)
2025-10-10T00:53:04.4513245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4513351Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4513599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4513774Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4513777Z 
2025-10-10T00:53:04.4513893Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4514096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4514166Z     return mod(*inputs)
2025-10-10T00:53:04.4514411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4514483Z     features = self.features(x)
2025-10-10T00:53:04.4514719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4514792Z     new_features = layer(features)
2025-10-10T00:53:04.4515029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4515178Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4515182Z 
2025-10-10T00:53:04.4515286Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4515501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4515569Z     return mod(*inputs)
2025-10-10T00:53:04.4515801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4515881Z     features = self.features(x)
2025-10-10T00:53:04.4516112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4516193Z     new_features = layer(features)
2025-10-10T00:53:04.4516424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4516572Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4516576Z 
2025-10-10T00:53:04.4516682Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4516944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4517023Z     return mod(*inputs)
2025-10-10T00:53:04.4517298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4517380Z     features = self.features(x)
2025-10-10T00:53:04.4517622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4517697Z     new_features = layer(features)
2025-10-10T00:53:04.4517954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4518061Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4518310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4518397Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4518401Z 
2025-10-10T00:53:04.4518508Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4518721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4518793Z     return mod(*inputs)
2025-10-10T00:53:04.4519030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4519101Z     features = self.features(x)
2025-10-10T00:53:04.4519340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4519412Z     new_features = layer(features)
2025-10-10T00:53:04.4519642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4519757Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4519999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4520184Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4520190Z 
2025-10-10T00:53:04.4520295Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4520507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4520582Z     return mod(*inputs)
2025-10-10T00:53:04.4520821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4520900Z     features = self.features(x)
2025-10-10T00:53:04.4521146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4521227Z     new_features = layer(features)
2025-10-10T00:53:04.4521458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4521564Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4521817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4521992Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4521996Z 
2025-10-10T00:53:04.4522106Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4522310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4522374Z     return mod(*inputs)
2025-10-10T00:53:04.4522613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4522683Z     features = self.features(x)
2025-10-10T00:53:04.4522924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4522997Z     new_features = layer(features)
2025-10-10T00:53:04.4523262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4523439Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4523443Z 
2025-10-10T00:53:04.4523546Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4523763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4523829Z     return mod(*inputs)
2025-10-10T00:53:04.4524075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4524145Z     features = self.features(x)
2025-10-10T00:53:04.4524380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4524462Z     new_features = layer(features)
2025-10-10T00:53:04.4524699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4524845Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4524851Z 
2025-10-10T00:53:04.4524960Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4525166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4525242Z     return mod(*inputs)
2025-10-10T00:53:04.4525476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4525556Z     features = self.features(x)
2025-10-10T00:53:04.4525789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4525870Z     new_features = layer(features)
2025-10-10T00:53:04.4526105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4526215Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4526471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4526562Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4526565Z 
2025-10-10T00:53:04.4526677Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4526883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4526951Z     return mod(*inputs)
2025-10-10T00:53:04.4527193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4527266Z     features = self.features(x)
2025-10-10T00:53:04.4527507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4527580Z     new_features = layer(features)
2025-10-10T00:53:04.4527816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4527929Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4528181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4528361Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4528364Z 
2025-10-10T00:53:04.4528469Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4528682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4528749Z     return mod(*inputs)
2025-10-10T00:53:04.4528983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4529062Z     features = self.features(x)
2025-10-10T00:53:04.4529331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4529414Z     new_features = layer(features)
2025-10-10T00:53:04.4529675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4529781Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4530027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4530203Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4530206Z 
2025-10-10T00:53:04.4530318Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4530524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4530599Z     return mod(*inputs)
2025-10-10T00:53:04.4530826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4530902Z     features = self.features(x)
2025-10-10T00:53:04.4531139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4531215Z     new_features = layer(features)
2025-10-10T00:53:04.4531450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4531588Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4531592Z 
2025-10-10T00:53:04.4531699Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4531914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4531981Z     return mod(*inputs)
2025-10-10T00:53:04.4532222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4532295Z     features = self.features(x)
2025-10-10T00:53:04.4532543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4532628Z     new_features = layer(features)
2025-10-10T00:53:04.4532870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4533099Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4533105Z 
2025-10-10T00:53:04.4533219Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4533438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4533507Z     return mod(*inputs)
2025-10-10T00:53:04.4533746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4533830Z     features = self.features(x)
2025-10-10T00:53:04.4534080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4534165Z     new_features = layer(features)
2025-10-10T00:53:04.4534400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4534521Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4534769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4534857Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4534861Z 
2025-10-10T00:53:04.4534972Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4535180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4535256Z     return mod(*inputs)
2025-10-10T00:53:04.4535499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4535624Z     features = self.features(x)
2025-10-10T00:53:04.4535872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4535982Z     new_features = layer(features)
2025-10-10T00:53:04.4536249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4536356Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4536604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4536792Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4536796Z 
2025-10-10T00:53:04.4536904Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4537127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4537197Z     return mod(*inputs)
2025-10-10T00:53:04.4537433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4537518Z     features = self.features(x)
2025-10-10T00:53:04.4537755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4537837Z     new_features = layer(features)
2025-10-10T00:53:04.4538079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4538195Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4538444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4538623Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4538627Z 
2025-10-10T00:53:04.4538749Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4538961Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4539040Z     return mod(*inputs)
2025-10-10T00:53:04.4539279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4539352Z     features = self.features(x)
2025-10-10T00:53:04.4539608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4539682Z     new_features = layer(features)
2025-10-10T00:53:04.4539931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4540075Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4540078Z 
2025-10-10T00:53:04.4540196Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4540411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4540480Z     return mod(*inputs)
2025-10-10T00:53:04.4540735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4540807Z     features = self.features(x)
2025-10-10T00:53:04.4541061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4541136Z     new_features = layer(features)
2025-10-10T00:53:04.4541373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4541523Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4541527Z 
2025-10-10T00:53:04.4541635Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4541861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4541975Z     return mod(*inputs)
2025-10-10T00:53:04.4542214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4542327Z     features = self.features(x)
2025-10-10T00:53:04.4542576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4542657Z     new_features = layer(features)
2025-10-10T00:53:04.4542891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4543005Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4543251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4543340Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4543343Z 
2025-10-10T00:53:04.4543456Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4543663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4543752Z     return mod(*inputs)
2025-10-10T00:53:04.4543984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4544051Z     features = self.features(x)
2025-10-10T00:53:04.4544276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4544345Z     new_features = layer(features)
2025-10-10T00:53:04.4544579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4544683Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4544925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4545118Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4545121Z 
2025-10-10T00:53:04.4545224Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4545424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4545487Z     return mod(*inputs)
2025-10-10T00:53:04.4545715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4545784Z     features = self.features(x)
2025-10-10T00:53:04.4546001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4546077Z     new_features = layer(features)
2025-10-10T00:53:04.4546302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4546415Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4546658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4546836Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4546848Z 
2025-10-10T00:53:04.4546955Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4547156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4547231Z     return mod(*inputs)
2025-10-10T00:53:04.4547462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4547550Z     features = self.features(x)
2025-10-10T00:53:04.4547770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4547839Z     new_features = layer(features)
2025-10-10T00:53:04.4548097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4548230Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4548264Z 
2025-10-10T00:53:04.4548373Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4548565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4548629Z     return mod(*inputs)
2025-10-10T00:53:04.4548866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4548937Z     features = self.features(x)
2025-10-10T00:53:04.4549174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4549245Z     new_features = layer(features)
2025-10-10T00:53:04.4549471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4549617Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4549623Z 
2025-10-10T00:53:04.4549728Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4549938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4550004Z     return mod(*inputs)
2025-10-10T00:53:04.4550241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4550313Z     features = self.features(x)
2025-10-10T00:53:04.4550541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4550629Z     new_features = layer(features)
2025-10-10T00:53:04.4550844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4550948Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4551176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4551261Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4551271Z 
2025-10-10T00:53:04.4551368Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4551559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4551629Z     return mod(*inputs)
2025-10-10T00:53:04.4551852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4551929Z     features = self.features(x)
2025-10-10T00:53:04.4552157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4552228Z     new_features = layer(features)
2025-10-10T00:53:04.4552465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4552573Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4552822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4553001Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4553004Z 
2025-10-10T00:53:04.4553104Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4553307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4553369Z     return mod(*inputs)
2025-10-10T00:53:04.4553593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4553661Z     features = self.features(x)
2025-10-10T00:53:04.4553878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4553988Z     new_features = layer(features)
2025-10-10T00:53:04.4554273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4554382Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4554610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4554781Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4554785Z 
2025-10-10T00:53:04.4554883Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4555074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4555146Z     return mod(*inputs)
2025-10-10T00:53:04.4555363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4555440Z     features = self.features(x)
2025-10-10T00:53:04.4555657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4555730Z     new_features = layer(features)
2025-10-10T00:53:04.4555953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4556090Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4556094Z 
2025-10-10T00:53:04.4556206Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4556408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4556479Z     return mod(*inputs)
2025-10-10T00:53:04.4556715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4556782Z     features = self.features(x)
2025-10-10T00:53:04.4557008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4557081Z     new_features = layer(features)
2025-10-10T00:53:04.4557303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4557434Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4557438Z 
2025-10-10T00:53:04.4557539Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4557739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4557802Z     return mod(*inputs)
2025-10-10T00:53:04.4558025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4558093Z     features = self.features(x)
2025-10-10T00:53:04.4558311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4558388Z     new_features = layer(features)
2025-10-10T00:53:04.4558608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4558718Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4558944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4559035Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4559038Z 
2025-10-10T00:53:04.4559140Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4559342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4559415Z     return mod(*inputs)
2025-10-10T00:53:04.4559643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4559755Z     features = self.features(x)
2025-10-10T00:53:04.4559988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4560098Z     new_features = layer(features)
2025-10-10T00:53:04.4560339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4560445Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4560693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4560866Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4560870Z 
2025-10-10T00:53:04.4560983Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4561188Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4561253Z     return mod(*inputs)
2025-10-10T00:53:04.4561499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4561574Z     features = self.features(x)
2025-10-10T00:53:04.4561815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4561889Z     new_features = layer(features)
2025-10-10T00:53:04.4562119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4562234Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4562474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4562661Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4562664Z 
2025-10-10T00:53:04.4562769Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4562983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4563052Z     return mod(*inputs)
2025-10-10T00:53:04.4563285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4563363Z     features = self.features(x)
2025-10-10T00:53:04.4563595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4563677Z     new_features = layer(features)
2025-10-10T00:53:04.4563910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4564049Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4564052Z 
2025-10-10T00:53:04.4564166Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4564372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4564445Z     return mod(*inputs)
2025-10-10T00:53:04.4564679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4564750Z     features = self.features(x)
2025-10-10T00:53:04.4564989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4565062Z     new_features = layer(features)
2025-10-10T00:53:04.4565296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4565433Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4565436Z 
2025-10-10T00:53:04.4565548Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4565752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4565819Z     return mod(*inputs)
2025-10-10T00:53:04.4566094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4566197Z     features = self.features(x)
2025-10-10T00:53:04.4566434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4566507Z     new_features = layer(features)
2025-10-10T00:53:04.4566737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4566854Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4567094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4567188Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4567191Z 
2025-10-10T00:53:04.4567295Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4567506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4567576Z     return mod(*inputs)
2025-10-10T00:53:04.4567813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4567894Z     features = self.features(x)
2025-10-10T00:53:04.4568123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4568204Z     new_features = layer(features)
2025-10-10T00:53:04.4568431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4568539Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4568787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4568962Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4568966Z 
2025-10-10T00:53:04.4569081Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4569294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4569363Z     return mod(*inputs)
2025-10-10T00:53:04.4569607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4569682Z     features = self.features(x)
2025-10-10T00:53:04.4569924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4569997Z     new_features = layer(features)
2025-10-10T00:53:04.4570239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4570348Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4570596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4570786Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4570790Z 
2025-10-10T00:53:04.4570897Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4571114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4571183Z     return mod(*inputs)
2025-10-10T00:53:04.4571421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4571505Z     features = self.features(x)
2025-10-10T00:53:04.4571739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4571818Z     new_features = layer(features)
2025-10-10T00:53:04.4572093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4572240Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4572283Z 
2025-10-10T00:53:04.4572392Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4572603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4572679Z     return mod(*inputs)
2025-10-10T00:53:04.4572917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4573084Z     features = self.features(x)
2025-10-10T00:53:04.4573336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4573413Z     new_features = layer(features)
2025-10-10T00:53:04.4573667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4573818Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4573822Z 
2025-10-10T00:53:04.4573943Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4574165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4574233Z     return mod(*inputs)
2025-10-10T00:53:04.4574477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4574550Z     features = self.features(x)
2025-10-10T00:53:04.4574792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4574867Z     new_features = layer(features)
2025-10-10T00:53:04.4575107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4575214Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4575466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4575567Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4575570Z 
2025-10-10T00:53:04.4575676Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4575895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4575962Z     return mod(*inputs)
2025-10-10T00:53:04.4576196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4576275Z     features = self.features(x)
2025-10-10T00:53:04.4576506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4576587Z     new_features = layer(features)
2025-10-10T00:53:04.4576820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4576934Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4577200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4577377Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4577381Z 
2025-10-10T00:53:04.4577496Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4577721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4577796Z     return mod(*inputs)
2025-10-10T00:53:04.4578039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4578113Z     features = self.features(x)
2025-10-10T00:53:04.4578375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4578490Z     new_features = layer(features)
2025-10-10T00:53:04.4578728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4578876Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4579116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4579297Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4579301Z 
2025-10-10T00:53:04.4579408Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4579623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4579690Z     return mod(*inputs)
2025-10-10T00:53:04.4579932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4580004Z     features = self.features(x)
2025-10-10T00:53:04.4580250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4580335Z     new_features = layer(features)
2025-10-10T00:53:04.4580583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4580732Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4580735Z 
2025-10-10T00:53:04.4580843Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4581050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4581125Z     return mod(*inputs)
2025-10-10T00:53:04.4581363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4581444Z     features = self.features(x)
2025-10-10T00:53:04.4581694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4581774Z     new_features = layer(features)
2025-10-10T00:53:04.4582018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4582160Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4582164Z 
2025-10-10T00:53:04.4582280Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4582489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4582563Z     return mod(*inputs)
2025-10-10T00:53:04.4582807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4582879Z     features = self.features(x)
2025-10-10T00:53:04.4583122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4583201Z     new_features = layer(features)
2025-10-10T00:53:04.4583447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4583559Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4583803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4583905Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4583908Z 
2025-10-10T00:53:04.4584020Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4584240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4584309Z     return mod(*inputs)
2025-10-10T00:53:04.4584564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4584637Z     features = self.features(x)
2025-10-10T00:53:04.4584909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4585028Z     new_features = layer(features)
2025-10-10T00:53:04.4585264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4585382Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4585627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4585804Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4585808Z 
2025-10-10T00:53:04.4585926Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4586134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4586208Z     return mod(*inputs)
2025-10-10T00:53:04.4586447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4586525Z     features = self.features(x)
2025-10-10T00:53:04.4586768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4586842Z     new_features = layer(features)
2025-10-10T00:53:04.4587082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4587191Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4587442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4587619Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4587623Z 
2025-10-10T00:53:04.4587730Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4587951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4588022Z     return mod(*inputs)
2025-10-10T00:53:04.4588276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4588351Z     features = self.features(x)
2025-10-10T00:53:04.4588584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4588667Z     new_features = layer(features)
2025-10-10T00:53:04.4588901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4589049Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4589052Z 
2025-10-10T00:53:04.4589161Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4589378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4589449Z     return mod(*inputs)
2025-10-10T00:53:04.4589687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4589773Z     features = self.features(x)
2025-10-10T00:53:04.4590180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4590270Z     new_features = layer(features)
2025-10-10T00:53:04.4590506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4590649Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4590653Z 
2025-10-10T00:53:04.4590772Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4590985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4591061Z     return mod(*inputs)
2025-10-10T00:53:04.4591384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4591507Z     features = self.features(x)
2025-10-10T00:53:04.4591752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4591828Z     new_features = layer(features)
2025-10-10T00:53:04.4592079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4592186Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4592435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4592524Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4592527Z 
2025-10-10T00:53:04.4592631Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4592850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4592916Z     return mod(*inputs)
2025-10-10T00:53:04.4593162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4593235Z     features = self.features(x)
2025-10-10T00:53:04.4593469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4593551Z     new_features = layer(features)
2025-10-10T00:53:04.4593780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4593893Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4594135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4594316Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4594323Z 
2025-10-10T00:53:04.4594437Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4594644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4594718Z     return mod(*inputs)
2025-10-10T00:53:04.4594950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4595032Z     features = self.features(x)
2025-10-10T00:53:04.4595262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4595334Z     new_features = layer(features)
2025-10-10T00:53:04.4595575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4595682Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4595944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4596126Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4596133Z 
2025-10-10T00:53:04.4596250Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4596467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4596536Z     return mod(*inputs)
2025-10-10T00:53:04.4596784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4596856Z     features = self.features(x)
2025-10-10T00:53:04.4597102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4597177Z     new_features = layer(features)
2025-10-10T00:53:04.4597415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4597601Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4597642Z 
2025-10-10T00:53:04.4597763Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4597976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4598043Z     return mod(*inputs)
2025-10-10T00:53:04.4598274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4598353Z     features = self.features(x)
2025-10-10T00:53:04.4598583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4598665Z     new_features = layer(features)
2025-10-10T00:53:04.4598895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4599044Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4599047Z 
2025-10-10T00:53:04.4599154Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4599363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4599444Z     return mod(*inputs)
2025-10-10T00:53:04.4599675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4599754Z     features = self.features(x)
2025-10-10T00:53:04.4599984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4600057Z     new_features = layer(features)
2025-10-10T00:53:04.4600297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4600402Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4600657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:53:04.4600747Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:53:04.4600751Z 
2025-10-10T00:53:04.4600858Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4601077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4601147Z     return mod(*inputs)
2025-10-10T00:53:04.4601392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4601466Z     features = self.features(x)
2025-10-10T00:53:04.4601709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4601796Z     new_features = layer(features)
2025-10-10T00:53:04.4602031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4602152Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4602404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4602589Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4602593Z 
2025-10-10T00:53:04.4602696Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4602901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4602975Z     return mod(*inputs)
2025-10-10T00:53:04.4603212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4603288Z     features = self.features(x)
2025-10-10T00:53:04.4603517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4603597Z     new_features = layer(features)
2025-10-10T00:53:04.4603870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:53:04.4604015Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:53:04.4604270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:53:04.4604449Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:53:04.4604453Z 
2025-10-10T00:53:04.4604569Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4604781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4604850Z     return mod(*inputs)
2025-10-10T00:53:04.4605098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4605170Z     features = self.features(x)
2025-10-10T00:53:04.4605417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4605495Z     new_features = layer(features)
2025-10-10T00:53:04.4605741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4605892Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4605896Z 
2025-10-10T00:53:04.4606004Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4606224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4606291Z     return mod(*inputs)
2025-10-10T00:53:04.4606537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4606610Z     features = self.features(x)
2025-10-10T00:53:04.4606848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:53:04.4606933Z     new_features = layer(features)
2025-10-10T00:53:04.4607174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:53:04.4607323Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:53:04.4607327Z 
2025-10-10T00:53:04.4607415Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4607499Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4607590Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4607672Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4607759Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4607837Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4607917Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4608034Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4608251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4608327Z     return mod(*inputs)
2025-10-10T00:53:04.4608570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:53:04.4608643Z     features = self.features(x)
2025-10-10T00:53:04.4608891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-10-10T00:53:04.4608970Z     return torch.cat(features, 1)
2025-10-10T00:53:04.4608975Z 
2025-10-10T00:53:04.4609063Z cudagraph partition due to non gpu ops
2025-10-10T00:53:04.4609171Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4609382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4609458Z     return mod(*inputs)
2025-10-10T00:53:04.4609698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 215, in forward
2025-10-10T00:53:04.4609834Z     out = F.adaptive_avg_pool2d(out, (1, 1))
2025-10-10T00:53:04.4609838Z 
2025-10-10T00:53:04.4609986Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:53:04.4610204Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:53:04.4610273Z     return mod(*inputs)
2025-10-10T00:53:04.4610515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 217, in forward
2025-10-10T00:53:04.4610604Z     out = self.classifier(out)
2025-10-10T00:53:04.4610608Z 
2025-10-10T00:53:23.4314117Z Compilation time (from dynamo_timed): 54.859225884
2025-10-10T00:53:23.4314452Z pass
2025-10-10T00:53:23.4314782Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:53:23.4315844Z TIMING: _recursive_pre_grad_passes:0.01442 _recursive_joint_graph_passes:0.27237 _recursive_post_grad_passes:0.26025 async_compile.wait:1.90493 code_gen:18.27304 inductor_compile:25.58786 backend_compile:43.48763 gc:0.00169 entire_frame_compile:54.85923 total_wall_time:54.85923
2025-10-10T00:53:23.4317081Z STATS: call_* op count: 431 | FakeTensorMode.__torch_dispatch__:20502 | attempt fast:405 | fast is_contiguous:405 | FakeTensor.__torch_dispatch__:13786 | ProxyTorchDispatchMode.__torch_dispatch__:6341
2025-10-10T00:53:23.4317714Z Dynamo produced 1 graphs covering 431 ops with 0 graph breaks (0 unique)
2025-10-10T00:53:28.5395746Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:53:28.5396645Z   import pynvml  # type: ignore[import]
2025-10-10T00:53:30.8070097Z 
2025-10-10T00:53:31.0307851Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T00:53:31.0308316Z   what():  std::bad_array_new_length
2025-10-10T00:55:41.4530241Z Run failed with return code:  -6
2025-10-10T00:55:41.4532438Z Output:  None
2025-10-10T00:55:41.4532672Z Error:  None
2025-10-10T00:55:41.7851934Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:55:41.7853444Z   import pynvml  # type: ignore[import]
2025-10-10T00:55:44.0783153Z 
2025-10-10T00:55:44.2997659Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T00:55:44.2998098Z   what():  std::bad_array_new_length
2025-10-10T00:57:55.1193451Z Run failed with return code:  -6
2025-10-10T00:57:55.1195728Z Output:  None
2025-10-10T00:57:55.1197886Z Error:  None
2025-10-10T00:57:55.4258955Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:57:55.4260414Z   import pynvml  # type: ignore[import]
2025-10-10T00:57:57.7268362Z 
2025-10-10T00:57:57.9530590Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T00:57:57.9531036Z   what():  std::bad_array_new_length
2025-10-10T01:00:08.4830209Z Run failed with return code:  -6
2025-10-10T01:00:08.4830697Z Output:  None
2025-10-10T01:00:08.4830894Z Error:  None
2025-10-10T01:00:08.8142281Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:00:08.8145156Z   import pynvml  # type: ignore[import]
2025-10-10T01:00:11.0712522Z 
2025-10-10T01:00:11.2939949Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:00:11.2940540Z   what():  std::bad_array_new_length
2025-10-10T01:02:21.9472803Z Run failed with return code:  -6
2025-10-10T01:02:21.9475841Z Output:  None
2025-10-10T01:02:21.9476158Z Error:  None
2025-10-10T01:02:22.2771886Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:02:22.2773386Z   import pynvml  # type: ignore[import]
2025-10-10T01:02:24.5738485Z 
2025-10-10T01:02:24.7977607Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:02:24.7978690Z   what():  std::bad_array_new_length
2025-10-10T01:04:36.5194550Z Run failed with return code:  -6
2025-10-10T01:04:36.5194871Z Output:  None
2025-10-10T01:04:36.5195051Z Error:  None
2025-10-10T01:04:36.8317562Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:04:36.8318982Z   import pynvml  # type: ignore[import]
2025-10-10T01:04:39.1768314Z 
2025-10-10T01:04:39.4036728Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:04:39.4037300Z   what():  std::bad_array_new_length
2025-10-10T01:06:51.2953020Z Run failed with return code:  -6
2025-10-10T01:06:51.2955163Z Output:  None
2025-10-10T01:06:51.2955979Z Error:  None
2025-10-10T01:06:51.5997098Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:06:51.5998111Z   import pynvml  # type: ignore[import]
2025-10-10T01:06:53.9119318Z 
2025-10-10T01:06:54.1350499Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:06:54.1350920Z   what():  std::bad_array_new_length
2025-10-10T01:09:05.4664596Z Run failed with return code:  -6
2025-10-10T01:09:05.4667904Z Output:  None
2025-10-10T01:09:05.4668236Z Error:  None
2025-10-10T01:09:05.8029662Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:09:05.8031271Z   import pynvml  # type: ignore[import]
2025-10-10T01:09:08.1317778Z 
2025-10-10T01:09:08.3560371Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:09:08.3560813Z   what():  std::bad_array_new_length
2025-10-10T01:11:21.1463227Z Run failed with return code:  -6
2025-10-10T01:11:21.1463527Z Output:  None
2025-10-10T01:11:21.1463704Z Error:  None
2025-10-10T01:11:21.4501002Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:11:21.4501985Z   import pynvml  # type: ignore[import]
2025-10-10T01:11:23.7769310Z 
2025-10-10T01:11:24.0026564Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:11:24.0031669Z   what():  std::bad_array_new_length
2025-10-10T01:13:36.2737851Z Run failed with return code:  -6
2025-10-10T01:13:36.2740637Z Output:  None
2025-10-10T01:13:36.2740893Z Error:  None
2025-10-10T01:13:36.6340950Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:13:36.6342052Z   import pynvml  # type: ignore[import]
2025-10-10T01:13:38.9471992Z 
2025-10-10T01:13:39.1737668Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:13:39.1741380Z   what():  std::bad_array_new_length
2025-10-10T01:15:50.5932486Z Run failed with return code:  -6
2025-10-10T01:15:50.5932806Z Output:  None
2025-10-10T01:15:50.5932988Z Error:  None
2025-10-10T01:15:50.9295893Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:15:50.9297493Z   import pynvml  # type: ignore[import]
2025-10-10T01:15:53.2309532Z 
2025-10-10T01:15:53.4557513Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:15:53.4558905Z   what():  std::bad_array_new_length
2025-10-10T01:18:05.1649700Z Run failed with return code:  -6
2025-10-10T01:18:05.1650012Z Output:  None
2025-10-10T01:18:05.1650195Z Error:  None
2025-10-10T01:18:05.4706825Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:18:05.4708371Z   import pynvml  # type: ignore[import]
2025-10-10T01:18:07.8018263Z 
2025-10-10T01:18:14.1057077Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:18:14.1057374Z loading model: 0it [00:06, ?it/s]
2025-10-10T01:18:14.1063937Z cpu  eval  dlrm                               
2025-10-10T01:18:14.6903434Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:14.8800201Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:15.0671390Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:18.0037181Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0043928Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0044464Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0044705Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0044943Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0045369Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0045614Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0046214Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0046554Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0046989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0047349Z     return mod(*inputs)
2025-10-10T01:18:18.0047674Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0048062Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0048463Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-10-10T01:18:18.0048850Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-10-10T01:18:18.0049203Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0049538Z     return layers(x)
2025-10-10T01:18:18.0050241Z 
2025-10-10T01:18:18.0050379Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0050950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0051325Z     return mod(*inputs)
2025-10-10T01:18:18.0051635Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0052012Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0052407Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:18:18.0052795Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:18:18.0053514Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:18:18.0053919Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:18:18.0054108Z 
2025-10-10T01:18:18.0054225Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0054628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0054983Z     return mod(*inputs)
2025-10-10T01:18:18.0055286Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0055656Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0056043Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:18:18.0056421Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:18:18.0056763Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:18:18.0057145Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:18:18.0057335Z 
2025-10-10T01:18:18.0057448Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0057837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0058184Z     return mod(*inputs)
2025-10-10T01:18:18.0058486Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0058848Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0059231Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:18:18.0059603Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:18:18.0059945Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:18:18.0060322Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:18:18.0060508Z 
2025-10-10T01:18:18.0060621Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0061008Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0061352Z     return mod(*inputs)
2025-10-10T01:18:18.0061653Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0062016Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0062402Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:18:18.0062773Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:18:18.0063121Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:18:18.0063499Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:18:18.0063680Z 
2025-10-10T01:18:18.0063835Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0064222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0064569Z     return mod(*inputs)
2025-10-10T01:18:18.0064863Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0065301Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0065671Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:18:18.0066096Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:18:18.0066451Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:18:18.0066817Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:18:18.0066992Z 
2025-10-10T01:18:18.0067108Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0067474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0067813Z     return mod(*inputs)
2025-10-10T01:18:18.0068098Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0068447Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0068818Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:18:18.0069177Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:18:18.0069517Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:18:18.0069879Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:18:18.0070048Z 
2025-10-10T01:18:18.0070163Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0070529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0070871Z     return mod(*inputs)
2025-10-10T01:18:18.0071158Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0071513Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0071876Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:18:18.0072238Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:18:18.0072576Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:18:18.0072941Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:18:18.0073143Z 
2025-10-10T01:18:18.0073259Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0073630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0073972Z     return mod(*inputs)
2025-10-10T01:18:18.0074255Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0074601Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0074962Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:18:18.0075322Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:18:18.0075668Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:18:18.0076053Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:18:18.0076232Z 
2025-10-10T01:18:18.0076352Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0076732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0077094Z     return mod(*inputs)
2025-10-10T01:18:18.0077384Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0077763Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0078126Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-10-10T01:18:18.0078483Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-10-10T01:18:18.0078816Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0079135Z     return layers(x)
2025-10-10T01:18:18.0079240Z 
2025-10-10T01:18:18.0079392Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0079791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0080134Z     return mod(*inputs)
2025-10-10T01:18:18.0080431Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0080784Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0081172Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-10-10T01:18:18.0081554Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-10-10T01:18:18.0081894Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0082222Z     return layers(x)
2025-10-10T01:18:18.0082337Z 
2025-10-10T01:18:18.0082423Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0082654Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0082889Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0083114Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0083331Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0083550Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0083771Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0083989Z cudagraph partition due to non gpu ops
2025-10-10T01:18:18.0084235Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0084636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0085002Z     return mod(*inputs)
2025-10-10T01:18:18.0085305Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0085659Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0086041Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-10-10T01:18:18.0086402Z     z = self.interact_features(x, ly)
2025-10-10T01:18:18.0086766Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 318, in interact_features
2025-10-10T01:18:18.0087169Z     T = torch.cat([x] + ly, dim=1).view((batch_size, -1, d))
2025-10-10T01:18:18.0087345Z 
2025-10-10T01:18:18.0087456Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0087840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0088191Z     return mod(*inputs)
2025-10-10T01:18:18.0088483Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0088834Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0089212Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-10-10T01:18:18.0089590Z     z = self.interact_features(x, ly)
2025-10-10T01:18:18.0089941Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 320, in interact_features
2025-10-10T01:18:18.0090633Z     Z = torch.bmm(T, torch.transpose(T, 1, 2))
2025-10-10T01:18:18.0090796Z 
2025-10-10T01:18:18.0090911Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0091300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0091666Z     return mod(*inputs)
2025-10-10T01:18:18.0091963Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0092314Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0092701Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-10-10T01:18:18.0093126Z     z = self.interact_features(x, ly)
2025-10-10T01:18:18.0093496Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 337, in interact_features
2025-10-10T01:18:18.0093876Z     Zflat = Z[:, li, lj]
2025-10-10T01:18:18.0093996Z 
2025-10-10T01:18:18.0094231Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0094637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0095078Z     return mod(*inputs)
2025-10-10T01:18:18.0095376Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0095731Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0096113Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-10-10T01:18:18.0096471Z     z = self.interact_features(x, ly)
2025-10-10T01:18:18.0096823Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 339, in interact_features
2025-10-10T01:18:18.0097206Z     R = torch.cat([x] + [Zflat], dim=1)
2025-10-10T01:18:18.0097348Z 
2025-10-10T01:18:18.0097463Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0097850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0098202Z     return mod(*inputs)
2025-10-10T01:18:18.0098503Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0098857Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0099244Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:18:18.0099615Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:18:18.0099941Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0100263Z     return layers(x)
2025-10-10T01:18:18.0100370Z 
2025-10-10T01:18:18.0100521Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0100940Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0101283Z     return mod(*inputs)
2025-10-10T01:18:18.0101575Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0101930Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0102313Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:18:18.0102672Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:18:18.0103000Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0103315Z     return layers(x)
2025-10-10T01:18:18.0103427Z 
2025-10-10T01:18:18.0103539Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0103923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0104274Z     return mod(*inputs)
2025-10-10T01:18:18.0104566Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0104926Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0105315Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:18:18.0105690Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:18:18.0106018Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0106333Z     return layers(x)
2025-10-10T01:18:18.0106445Z 
2025-10-10T01:18:18.0106556Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0106929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0107269Z     return mod(*inputs)
2025-10-10T01:18:18.0107550Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0107908Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0108291Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:18:18.0108670Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:18:18.0109047Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0109393Z     return layers(x)
2025-10-10T01:18:18.0109505Z 
2025-10-10T01:18:18.0109616Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0109990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0110331Z     return mod(*inputs)
2025-10-10T01:18:18.0110611Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0110964Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0111343Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:18:18.0111701Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:18:18.0112027Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0112342Z     return layers(x)
2025-10-10T01:18:18.0112456Z 
2025-10-10T01:18:18.0112576Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0112985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0113341Z     return mod(*inputs)
2025-10-10T01:18:18.0113633Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0114003Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0114402Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:18:18.0114761Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:18:18.0115089Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0115409Z     return layers(x)
2025-10-10T01:18:18.0115515Z 
2025-10-10T01:18:18.0115625Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0116009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0116349Z     return mod(*inputs)
2025-10-10T01:18:18.0116641Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0116991Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0117361Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:18:18.0117719Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:18:18.0118046Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0118357Z     return layers(x)
2025-10-10T01:18:18.0118466Z 
2025-10-10T01:18:18.0118573Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:18.0118953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:18.0119289Z     return mod(*inputs)
2025-10-10T01:18:18.0119572Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:18:18.0119926Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:18:18.0120306Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:18:18.0120732Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:18:18.0121060Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:18:18.0121386Z     return layers(x)
2025-10-10T01:18:18.0121502Z 
2025-10-10T01:18:26.8803842Z Compilation time (from dynamo_timed): 10.611518472
2025-10-10T01:18:26.8804158Z pass
2025-10-10T01:18:26.8804480Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:26.8805641Z TIMING: _recursive_pre_grad_passes:0.0045 _recursive_joint_graph_passes:0.37149 _recursive_post_grad_passes:0.01931 async_compile.wait:0.56866 code_gen:8.7393 inductor_compile:8.91006 backend_compile:10.17364 gc:0.00124 entire_frame_compile:10.61152 total_wall_time:10.61152
2025-10-10T01:18:26.8806705Z STATS: call_* op count: 36 | FakeTensorMode.__torch_dispatch__:1227 | FakeTensor.__torch_dispatch__:365 | ProxyTorchDispatchMode.__torch_dispatch__:192
2025-10-10T01:18:26.8807403Z Dynamo produced 1 graphs covering 36 ops with 0 graph breaks (0 unique)
2025-10-10T01:18:28.8382170Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:18:28.8383610Z   import pynvml  # type: ignore[import]
2025-10-10T01:18:31.1498874Z 
2025-10-10T01:18:32.3547327Z 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
2025-10-10T01:18:32.6916102Z 
2025-10-10T01:18:32.6916559Z 
2025-10-10T01:18:32.7930994Z   0% 0/102021912 [00:00<?, ?it/s]
2025-10-10T01:18:32.7931238Z 
2025-10-10T01:18:32.8931121Z  16% 16404480/102021912 [00:00<00:00, 161519138.01it/s]
2025-10-10T01:18:32.8931359Z 
2025-10-10T01:18:33.0428367Z  45% 45889536/102021912 [00:00<00:00, 239427740.63it/s]
2025-10-10T01:18:33.0428605Z 
2025-10-10T01:18:33.1884133Z  68% 69882880/102021912 [00:00<00:00, 195566174.49it/s]
2025-10-10T01:18:33.1884384Z 
2025-10-10T01:18:33.2166843Z  88% 90246144/102021912 [00:00<00:00, 171374156.55it/s]
2025-10-10T01:18:33.2168206Z 102022144it [00:00, 194419946.63it/s]                  
2025-10-10T01:18:34.4467694Z Downloading https://doctr-static.mindee.com/models?id=v0.12.0/crnn_vgg16_bn-0417f351.pt&src=0 to /var/lib/jenkins/.cache/doctr/models/crnn_vgg16_bn-0417f351.pt
2025-10-10T01:18:34.7740081Z 
2025-10-10T01:18:34.7740480Z 
2025-10-10T01:18:34.8825522Z   0% 0/63303144 [00:00<?, ?it/s]
2025-10-10T01:18:34.8825760Z 
2025-10-10T01:18:35.0001697Z  33% 20972544/63303144 [00:00<00:00, 193982885.69it/s]
2025-10-10T01:18:35.0001947Z 
2025-10-10T01:18:35.0571897Z  64% 40371200/63303144 [00:00<00:00, 176318930.97it/s]
2025-10-10T01:18:35.0572251Z 63303680it [00:00, 223882570.89it/s]                  
2025-10-10T01:18:37.7356424Z 
2025-10-10T01:18:37.7357313Z loading model: 0it [00:06, ?it/s]
2025-10-10T01:18:37.7374858Z cpu  eval  doctr_det_predictor                
2025-10-10T01:18:55.1917472Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:58.8831360Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:19:02.9762836Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:19:19.1037047Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1037706Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1039384Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1039842Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1044611Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1044976Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1045217Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1045445Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1045670Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1045900Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1046149Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1046382Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1046620Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1046868Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1047118Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1047324Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1047558Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1047790Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1048444Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1048698Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1049029Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1049257Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1049485Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1049703Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1049972Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1050544Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1051048Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1051447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1051835Z     x = module(x)
2025-10-10T01:19:19.1051953Z 
2025-10-10T01:19:19.1052073Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1052660Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1053426Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1053815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1054190Z     x = module(x)
2025-10-10T01:19:19.1054300Z 
2025-10-10T01:19:19.1054425Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1054952Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1055446Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1055832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1056217Z     x = module(x)
2025-10-10T01:19:19.1056320Z 
2025-10-10T01:19:19.1056435Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1056955Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1057454Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1057819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1058176Z     x = module(x)
2025-10-10T01:19:19.1058516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1058905Z     out = self.conv1(x)
2025-10-10T01:19:19.1059057Z 
2025-10-10T01:19:19.1059170Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1059680Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1060155Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1060518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1060883Z     x = module(x)
2025-10-10T01:19:19.1061187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1061532Z     out = self.relu(out)
2025-10-10T01:19:19.1061651Z 
2025-10-10T01:19:19.1061755Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1062240Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1062716Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1063091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1063449Z     x = module(x)
2025-10-10T01:19:19.1063859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1064234Z     out = self.conv2(out)
2025-10-10T01:19:19.1064387Z 
2025-10-10T01:19:19.1064497Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1064994Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1065458Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1065815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1066176Z     x = module(x)
2025-10-10T01:19:19.1066496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1066863Z     out = self.relu(out)
2025-10-10T01:19:19.1066984Z 
2025-10-10T01:19:19.1067093Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1067591Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1068069Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1068444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1068811Z     x = module(x)
2025-10-10T01:19:19.1069141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1069512Z     out = self.conv3(out)
2025-10-10T01:19:19.1069628Z 
2025-10-10T01:19:19.1069736Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1070365Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1070832Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1071190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1071527Z     x = module(x)
2025-10-10T01:19:19.1071831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-10-10T01:19:19.1072193Z     identity = self.downsample(x)
2025-10-10T01:19:19.1072337Z 
2025-10-10T01:19:19.1072445Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1072943Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1073447Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1073801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1074165Z     x = module(x)
2025-10-10T01:19:19.1074510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1074888Z     out = self.conv1(x)
2025-10-10T01:19:19.1074999Z 
2025-10-10T01:19:19.1075114Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1075622Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1076086Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1076450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1076812Z     x = module(x)
2025-10-10T01:19:19.1077137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1077513Z     out = self.relu(out)
2025-10-10T01:19:19.1077634Z 
2025-10-10T01:19:19.1077746Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1078264Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1078791Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1079161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1079560Z     x = module(x)
2025-10-10T01:19:19.1079901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1080276Z     out = self.conv2(out)
2025-10-10T01:19:19.1080393Z 
2025-10-10T01:19:19.1080506Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1081026Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1081488Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1081846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1082208Z     x = module(x)
2025-10-10T01:19:19.1082529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1082895Z     out = self.relu(out)
2025-10-10T01:19:19.1083012Z 
2025-10-10T01:19:19.1083123Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1083614Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1084079Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1084434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1084785Z     x = module(x)
2025-10-10T01:19:19.1085116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1085481Z     out = self.conv3(out)
2025-10-10T01:19:19.1085596Z 
2025-10-10T01:19:19.1085707Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1086213Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1086679Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1087035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1087383Z     x = module(x)
2025-10-10T01:19:19.1087700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1088070Z     out = self.relu(out)
2025-10-10T01:19:19.1088191Z 
2025-10-10T01:19:19.1088302Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1088808Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1089281Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1089659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1090315Z     x = module(x)
2025-10-10T01:19:19.1090669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1091050Z     out = self.conv1(x)
2025-10-10T01:19:19.1091163Z 
2025-10-10T01:19:19.1091276Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1091792Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1092276Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1092651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1093087Z     x = module(x)
2025-10-10T01:19:19.1093460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1093867Z     out = self.relu(out)
2025-10-10T01:19:19.1094071Z 
2025-10-10T01:19:19.1094192Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1094788Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1095261Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1095637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1096008Z     x = module(x)
2025-10-10T01:19:19.1096345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1096729Z     out = self.conv2(out)
2025-10-10T01:19:19.1096851Z 
2025-10-10T01:19:19.1096964Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1097554Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1098037Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1098408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1098780Z     x = module(x)
2025-10-10T01:19:19.1099107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1099482Z     out = self.relu(out)
2025-10-10T01:19:19.1099598Z 
2025-10-10T01:19:19.1099718Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1100228Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1100686Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1101023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1101355Z     x = module(x)
2025-10-10T01:19:19.1101666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1102016Z     out = self.conv3(out)
2025-10-10T01:19:19.1102121Z 
2025-10-10T01:19:19.1102224Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1102722Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1103182Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1103540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1103885Z     x = module(x)
2025-10-10T01:19:19.1104212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1104571Z     out = self.relu(out)
2025-10-10T01:19:19.1104680Z 
2025-10-10T01:19:19.1104794Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1105286Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1105749Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1106100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1106449Z     x = module(x)
2025-10-10T01:19:19.1106773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1107135Z     out = self.conv1(x)
2025-10-10T01:19:19.1107247Z 
2025-10-10T01:19:19.1107355Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1107847Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1108306Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1108701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1109085Z     x = module(x)
2025-10-10T01:19:19.1109413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1109780Z     out = self.relu(out)
2025-10-10T01:19:19.1109887Z 
2025-10-10T01:19:19.1110001Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1110509Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1110968Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1111329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1111693Z     x = module(x)
2025-10-10T01:19:19.1112023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1112392Z     out = self.conv2(out)
2025-10-10T01:19:19.1112515Z 
2025-10-10T01:19:19.1112629Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1113133Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1113597Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1113957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1114317Z     x = module(x)
2025-10-10T01:19:19.1114649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1115014Z     out = self.relu(out)
2025-10-10T01:19:19.1115123Z 
2025-10-10T01:19:19.1115243Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1115749Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1116210Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1116576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1116939Z     x = module(x)
2025-10-10T01:19:19.1117267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1117624Z     out = self.conv3(out)
2025-10-10T01:19:19.1117745Z 
2025-10-10T01:19:19.1117852Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1118359Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1118833Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1119190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1119542Z     x = module(x)
2025-10-10T01:19:19.1119873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-10-10T01:19:19.1120253Z     identity = self.downsample(x)
2025-10-10T01:19:19.1120388Z 
2025-10-10T01:19:19.1120502Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1120997Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1121456Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1121819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1122173Z     x = module(x)
2025-10-10T01:19:19.1122512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1122874Z     out = self.conv1(x)
2025-10-10T01:19:19.1122991Z 
2025-10-10T01:19:19.1123142Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1123635Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1124132Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1124501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1124850Z     x = module(x)
2025-10-10T01:19:19.1125176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1125540Z     out = self.relu(out)
2025-10-10T01:19:19.1125649Z 
2025-10-10T01:19:19.1125765Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1126246Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1126709Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1127072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1127438Z     x = module(x)
2025-10-10T01:19:19.1127763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1128117Z     out = self.conv2(out)
2025-10-10T01:19:19.1128237Z 
2025-10-10T01:19:19.1128343Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1128843Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1129310Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1129667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1130012Z     x = module(x)
2025-10-10T01:19:19.1130342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1130702Z     out = self.relu(out)
2025-10-10T01:19:19.1130816Z 
2025-10-10T01:19:19.1130933Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1131414Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1131879Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1132241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1132596Z     x = module(x)
2025-10-10T01:19:19.1132920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1133390Z     out = self.conv3(out)
2025-10-10T01:19:19.1133524Z 
2025-10-10T01:19:19.1133636Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1134165Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1134639Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1134999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1135353Z     x = module(x)
2025-10-10T01:19:19.1135680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1136048Z     out = self.relu(out)
2025-10-10T01:19:19.1136158Z 
2025-10-10T01:19:19.1136274Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1136758Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1137226Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1137633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1137989Z     x = module(x)
2025-10-10T01:19:19.1138366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1138734Z     out = self.conv1(x)
2025-10-10T01:19:19.1138858Z 
2025-10-10T01:19:19.1138970Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1139483Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1139954Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1140321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1140686Z     x = module(x)
2025-10-10T01:19:19.1141023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1141377Z     out = self.relu(out)
2025-10-10T01:19:19.1141485Z 
2025-10-10T01:19:19.1141603Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1142078Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1142529Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1142904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1143246Z     x = module(x)
2025-10-10T01:19:19.1143561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1143907Z     out = self.conv2(out)
2025-10-10T01:19:19.1144022Z 
2025-10-10T01:19:19.1144130Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1144602Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1145075Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1145442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1145815Z     x = module(x)
2025-10-10T01:19:19.1146163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1146541Z     out = self.relu(out)
2025-10-10T01:19:19.1146654Z 
2025-10-10T01:19:19.1146773Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1147267Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1147740Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1148113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1148473Z     x = module(x)
2025-10-10T01:19:19.1148809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1149163Z     out = self.conv3(out)
2025-10-10T01:19:19.1149281Z 
2025-10-10T01:19:19.1149388Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1149863Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1150312Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1150647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1150988Z     x = module(x)
2025-10-10T01:19:19.1151306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1151661Z     out = self.relu(out)
2025-10-10T01:19:19.1151770Z 
2025-10-10T01:19:19.1151885Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1152406Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1152883Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1153219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1153553Z     x = module(x)
2025-10-10T01:19:19.1153851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1154205Z     out = self.conv1(x)
2025-10-10T01:19:19.1154320Z 
2025-10-10T01:19:19.1154432Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1154922Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1155381Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1155739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1156098Z     x = module(x)
2025-10-10T01:19:19.1156411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1156751Z     out = self.relu(out)
2025-10-10T01:19:19.1156852Z 
2025-10-10T01:19:19.1156959Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1157414Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1157908Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1158261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1158613Z     x = module(x)
2025-10-10T01:19:19.1158931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1159303Z     out = self.conv2(out)
2025-10-10T01:19:19.1159423Z 
2025-10-10T01:19:19.1159531Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1160016Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1160466Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1160815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1161179Z     x = module(x)
2025-10-10T01:19:19.1161503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1161862Z     out = self.relu(out)
2025-10-10T01:19:19.1161971Z 
2025-10-10T01:19:19.1162086Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1162571Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1163039Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1163400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1163749Z     x = module(x)
2025-10-10T01:19:19.1164068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1164428Z     out = self.conv3(out)
2025-10-10T01:19:19.1164548Z 
2025-10-10T01:19:19.1164656Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1165145Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1165634Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1166013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1166374Z     x = module(x)
2025-10-10T01:19:19.1166743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1167191Z     out = self.relu(out)
2025-10-10T01:19:19.1167299Z 
2025-10-10T01:19:19.1167415Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1167898Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1168361Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1168728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1169090Z     x = module(x)
2025-10-10T01:19:19.1169416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1169786Z     out = self.conv1(x)
2025-10-10T01:19:19.1169902Z 
2025-10-10T01:19:19.1170013Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1170525Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1171006Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1171364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1171725Z     x = module(x)
2025-10-10T01:19:19.1172059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1172429Z     out = self.relu(out)
2025-10-10T01:19:19.1172538Z 
2025-10-10T01:19:19.1172650Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1173245Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1173744Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1174131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1174504Z     x = module(x)
2025-10-10T01:19:19.1174841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1175211Z     out = self.conv2(out)
2025-10-10T01:19:19.1175332Z 
2025-10-10T01:19:19.1175441Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1175943Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1176407Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1176759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1177116Z     x = module(x)
2025-10-10T01:19:19.1177443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1177812Z     out = self.relu(out)
2025-10-10T01:19:19.1177923Z 
2025-10-10T01:19:19.1178036Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1178544Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1179014Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1179372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1179737Z     x = module(x)
2025-10-10T01:19:19.1180060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1180433Z     out = self.conv3(out)
2025-10-10T01:19:19.1180556Z 
2025-10-10T01:19:19.1180665Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1181895Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1182361Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1182734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1183087Z     x = module(x)
2025-10-10T01:19:19.1183416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-10-10T01:19:19.1183802Z     identity = self.downsample(x)
2025-10-10T01:19:19.1183940Z 
2025-10-10T01:19:19.1184048Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1184547Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1185014Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1185373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1185728Z     x = module(x)
2025-10-10T01:19:19.1186048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1186420Z     out = self.conv1(x)
2025-10-10T01:19:19.1186536Z 
2025-10-10T01:19:19.1186644Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1187136Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1187603Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1187955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1188309Z     x = module(x)
2025-10-10T01:19:19.1188638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1189003Z     out = self.relu(out)
2025-10-10T01:19:19.1189117Z 
2025-10-10T01:19:19.1189230Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1189727Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1190388Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1190758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1191124Z     x = module(x)
2025-10-10T01:19:19.1191446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1191819Z     out = self.conv2(out)
2025-10-10T01:19:19.1191941Z 
2025-10-10T01:19:19.1192052Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1192553Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1193020Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1193392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1193752Z     x = module(x)
2025-10-10T01:19:19.1194064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1194418Z     out = self.relu(out)
2025-10-10T01:19:19.1194529Z 
2025-10-10T01:19:19.1194638Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1195138Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1195602Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1195966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1196319Z     x = module(x)
2025-10-10T01:19:19.1196727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1197108Z     out = self.conv3(out)
2025-10-10T01:19:19.1197271Z 
2025-10-10T01:19:19.1197391Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1197898Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1198361Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1198729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1199092Z     x = module(x)
2025-10-10T01:19:19.1199420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1199796Z     out = self.relu(out)
2025-10-10T01:19:19.1199906Z 
2025-10-10T01:19:19.1200013Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1200505Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1200972Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1201330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1201685Z     x = module(x)
2025-10-10T01:19:19.1202031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1202393Z     out = self.conv1(x)
2025-10-10T01:19:19.1202500Z 
2025-10-10T01:19:19.1202615Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1203108Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1203561Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1203921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1204273Z     x = module(x)
2025-10-10T01:19:19.1204603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1204963Z     out = self.relu(out)
2025-10-10T01:19:19.1205071Z 
2025-10-10T01:19:19.1205177Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1205668Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1206132Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1206490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1206838Z     x = module(x)
2025-10-10T01:19:19.1207166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1207534Z     out = self.conv2(out)
2025-10-10T01:19:19.1207649Z 
2025-10-10T01:19:19.1207764Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1208256Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1208706Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1209060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1209418Z     x = module(x)
2025-10-10T01:19:19.1209751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1210121Z     out = self.relu(out)
2025-10-10T01:19:19.1210233Z 
2025-10-10T01:19:19.1210343Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1210856Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1211383Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1211754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1212153Z     x = module(x)
2025-10-10T01:19:19.1212493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1212869Z     out = self.conv3(out)
2025-10-10T01:19:19.1212985Z 
2025-10-10T01:19:19.1213177Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1213700Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1214172Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1214540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1214906Z     x = module(x)
2025-10-10T01:19:19.1215248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1215624Z     out = self.relu(out)
2025-10-10T01:19:19.1215745Z 
2025-10-10T01:19:19.1215857Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1216371Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1216853Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1217223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1217591Z     x = module(x)
2025-10-10T01:19:19.1217930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1218302Z     out = self.conv1(x)
2025-10-10T01:19:19.1218412Z 
2025-10-10T01:19:19.1218529Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1219038Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1219512Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1219882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1220253Z     x = module(x)
2025-10-10T01:19:19.1220592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1220960Z     out = self.relu(out)
2025-10-10T01:19:19.1221080Z 
2025-10-10T01:19:19.1221193Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1221704Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1222189Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1222564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1222927Z     x = module(x)
2025-10-10T01:19:19.1223268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1223654Z     out = self.conv2(out)
2025-10-10T01:19:19.1223769Z 
2025-10-10T01:19:19.1223888Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1224395Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1224868Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1225226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1225576Z     x = module(x)
2025-10-10T01:19:19.1225903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1226311Z     out = self.relu(out)
2025-10-10T01:19:19.1226432Z 
2025-10-10T01:19:19.1226541Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1227064Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1227534Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1227896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1228245Z     x = module(x)
2025-10-10T01:19:19.1228577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1228950Z     out = self.conv3(out)
2025-10-10T01:19:19.1229068Z 
2025-10-10T01:19:19.1229190Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1229688Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1230159Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1230529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1230892Z     x = module(x)
2025-10-10T01:19:19.1231222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1231585Z     out = self.relu(out)
2025-10-10T01:19:19.1231707Z 
2025-10-10T01:19:19.1231819Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1232319Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1232794Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1233161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1233512Z     x = module(x)
2025-10-10T01:19:19.1233853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1234226Z     out = self.conv1(x)
2025-10-10T01:19:19.1234338Z 
2025-10-10T01:19:19.1234457Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1234956Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1235436Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1235800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1236170Z     x = module(x)
2025-10-10T01:19:19.1236505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1236867Z     out = self.relu(out)
2025-10-10T01:19:19.1236988Z 
2025-10-10T01:19:19.1237103Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1237607Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1238082Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1238448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1238798Z     x = module(x)
2025-10-10T01:19:19.1239134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1239501Z     out = self.conv2(out)
2025-10-10T01:19:19.1239619Z 
2025-10-10T01:19:19.1239738Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1240236Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1240704Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1241123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1241511Z     x = module(x)
2025-10-10T01:19:19.1241834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1242199Z     out = self.relu(out)
2025-10-10T01:19:19.1242313Z 
2025-10-10T01:19:19.1242420Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1242920Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1243391Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1243739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1244104Z     x = module(x)
2025-10-10T01:19:19.1244427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1244794Z     out = self.conv3(out)
2025-10-10T01:19:19.1244906Z 
2025-10-10T01:19:19.1245025Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1245505Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1245963Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1246320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1246669Z     x = module(x)
2025-10-10T01:19:19.1246991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1247344Z     out = self.relu(out)
2025-10-10T01:19:19.1247459Z 
2025-10-10T01:19:19.1247567Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1248062Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1248524Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1248870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1249221Z     x = module(x)
2025-10-10T01:19:19.1249546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1249905Z     out = self.conv1(x)
2025-10-10T01:19:19.1250014Z 
2025-10-10T01:19:19.1250129Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1250610Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1251071Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1251426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1251782Z     x = module(x)
2025-10-10T01:19:19.1252108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1252467Z     out = self.relu(out)
2025-10-10T01:19:19.1252583Z 
2025-10-10T01:19:19.1252690Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1253258Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1253736Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1254087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1254445Z     x = module(x)
2025-10-10T01:19:19.1254776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1255140Z     out = self.conv2(out)
2025-10-10T01:19:19.1255254Z 
2025-10-10T01:19:19.1255427Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1255914Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1256430Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1256787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1257120Z     x = module(x)
2025-10-10T01:19:19.1257419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1257760Z     out = self.relu(out)
2025-10-10T01:19:19.1257870Z 
2025-10-10T01:19:19.1257972Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1258437Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1258873Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1259211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1259568Z     x = module(x)
2025-10-10T01:19:19.1259902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1260264Z     out = self.conv3(out)
2025-10-10T01:19:19.1260375Z 
2025-10-10T01:19:19.1260487Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1260970Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1261430Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1261781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1262144Z     x = module(x)
2025-10-10T01:19:19.1262465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1262828Z     out = self.relu(out)
2025-10-10T01:19:19.1262949Z 
2025-10-10T01:19:19.1263055Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1263544Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1264002Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1264346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1264711Z     x = module(x)
2025-10-10T01:19:19.1265036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1265448Z     out = self.conv1(x)
2025-10-10T01:19:19.1265559Z 
2025-10-10T01:19:19.1265674Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1266161Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1266624Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1266980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1267341Z     x = module(x)
2025-10-10T01:19:19.1267661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1268035Z     out = self.relu(out)
2025-10-10T01:19:19.1268153Z 
2025-10-10T01:19:19.1268262Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1268752Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1269223Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1269631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1269998Z     x = module(x)
2025-10-10T01:19:19.1270453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1270850Z     out = self.conv2(out)
2025-10-10T01:19:19.1270970Z 
2025-10-10T01:19:19.1271080Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1271577Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1272043Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1272411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1272774Z     x = module(x)
2025-10-10T01:19:19.1273091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1273469Z     out = self.relu(out)
2025-10-10T01:19:19.1273586Z 
2025-10-10T01:19:19.1273700Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1274197Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1274661Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1275011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1275367Z     x = module(x)
2025-10-10T01:19:19.1275695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1276060Z     out = self.conv3(out)
2025-10-10T01:19:19.1276172Z 
2025-10-10T01:19:19.1276281Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1276773Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1277236Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1277593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1277946Z     x = module(x)
2025-10-10T01:19:19.1278264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-10-10T01:19:19.1278644Z     identity = self.downsample(x)
2025-10-10T01:19:19.1278782Z 
2025-10-10T01:19:19.1278891Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1279383Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1279843Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1280191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1280541Z     x = module(x)
2025-10-10T01:19:19.1280873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1281242Z     out = self.conv1(x)
2025-10-10T01:19:19.1281354Z 
2025-10-10T01:19:19.1281466Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1281979Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1282442Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1282802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1283154Z     x = module(x)
2025-10-10T01:19:19.1283474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1283842Z     out = self.relu(out)
2025-10-10T01:19:19.1283960Z 
2025-10-10T01:19:19.1284068Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1284620Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1285118Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1285466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1285822Z     x = module(x)
2025-10-10T01:19:19.1286149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1286510Z     out = self.conv2(out)
2025-10-10T01:19:19.1286621Z 
2025-10-10T01:19:19.1286730Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1287219Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1287681Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1288044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1288404Z     x = module(x)
2025-10-10T01:19:19.1288734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1289105Z     out = self.relu(out)
2025-10-10T01:19:19.1289223Z 
2025-10-10T01:19:19.1289335Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1289838Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1290534Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1290903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1291269Z     x = module(x)
2025-10-10T01:19:19.1291608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1291994Z     out = self.conv3(out)
2025-10-10T01:19:19.1292113Z 
2025-10-10T01:19:19.1292227Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1292744Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1293293Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1293665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1294024Z     x = module(x)
2025-10-10T01:19:19.1294354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1294729Z     out = self.relu(out)
2025-10-10T01:19:19.1294840Z 
2025-10-10T01:19:19.1294957Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1295468Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1295938Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1296313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1296677Z     x = module(x)
2025-10-10T01:19:19.1297011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:19:19.1297381Z     out = self.conv1(x)
2025-10-10T01:19:19.1297491Z 
2025-10-10T01:19:19.1297600Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1298104Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1298578Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1298943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1299303Z     x = module(x)
2025-10-10T01:19:19.1299717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:19:19.1300140Z     out = self.relu(out)
2025-10-10T01:19:19.1300253Z 
2025-10-10T01:19:19.1300377Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1300894Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1301358Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1301718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1302072Z     x = module(x)
2025-10-10T01:19:19.1302403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:19:19.1302781Z     out = self.conv2(out)
2025-10-10T01:19:19.1302895Z 
2025-10-10T01:19:19.1303010Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1303506Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1303974Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1304331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1304679Z     x = module(x)
2025-10-10T01:19:19.1305008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:19:19.1305369Z     out = self.relu(out)
2025-10-10T01:19:19.1305476Z 
2025-10-10T01:19:19.1305592Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1306081Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1306538Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1306896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1307257Z     x = module(x)
2025-10-10T01:19:19.1307585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:19:19.1307961Z     out = self.conv3(out)
2025-10-10T01:19:19.1308074Z 
2025-10-10T01:19:19.1308181Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1308669Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:19:19.1309142Z     feats = self.feat_extractor(x)
2025-10-10T01:19:19.1309497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:19:19.1309853Z     x = module(x)
2025-10-10T01:19:19.1310193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:19:19.1310557Z     out = self.relu(out)
2025-10-10T01:19:19.1310668Z 
2025-10-10T01:19:19.1310784Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1311282Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1311752Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1312209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-10-10T01:19:19.1312751Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:19:19.1313300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-10-10T01:19:19.1313843Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:19:19.1314051Z 
2025-10-10T01:19:19.1314204Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1314761Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1315235Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1315702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-10-10T01:19:19.1316242Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:19:19.1316795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-10-10T01:19:19.1317342Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:19:19.1317553Z 
2025-10-10T01:19:19.1317662Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1318169Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1318639Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1319100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-10-10T01:19:19.1319632Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:19:19.1320185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-10-10T01:19:19.1320734Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:19:19.1320937Z 
2025-10-10T01:19:19.1321054Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1321555Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1321998Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1322459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-10-10T01:19:19.1322949Z     out.append(self.upsample(out[-1]) + t)
2025-10-10T01:19:19.1323102Z 
2025-10-10T01:19:19.1323217Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1323703Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1324173Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1324629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-10-10T01:19:19.1325186Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:19:19.1325758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-10-10T01:19:19.1326286Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:19:19.1326497Z 
2025-10-10T01:19:19.1326605Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1327098Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1327561Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1328013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-10-10T01:19:19.1328487Z     out.append(self.upsample(out[-1]) + t)
2025-10-10T01:19:19.1328642Z 
2025-10-10T01:19:19.1328750Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1329294Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1329795Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1330258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-10-10T01:19:19.1330792Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:19:19.1331346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-10-10T01:19:19.1331891Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:19:19.1332107Z 
2025-10-10T01:19:19.1332218Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1332723Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1333271Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1333745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-10-10T01:19:19.1334238Z     out.append(self.upsample(out[-1]) + t)
2025-10-10T01:19:19.1334387Z 
2025-10-10T01:19:19.1334580Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1335076Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1335545Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1335973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:19:19.1336525Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1337081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:19:19.1337620Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1337811Z 
2025-10-10T01:19:19.1337926Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1338437Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1338905Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1339359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:19:19.1349077Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1349743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:19:19.1350309Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1350511Z 
2025-10-10T01:19:19.1350632Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1351158Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1351639Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1352107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:19:19.1352637Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1353158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:19:19.1353691Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1354033Z 
2025-10-10T01:19:19.1354155Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1354743Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1355213Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1355680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:19:19.1356222Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1356779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:19:19.1357302Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1357490Z 
2025-10-10T01:19:19.1357614Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1358127Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1358603Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1359067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:19:19.1359591Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1360121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:19:19.1360651Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1360839Z 
2025-10-10T01:19:19.1360954Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1361465Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1361944Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1362411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:19:19.1362932Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1363456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:19:19.1363983Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1364176Z 
2025-10-10T01:19:19.1364289Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1364795Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1365268Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1365727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:19:19.1366260Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1366787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:19:19.1367320Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1367506Z 
2025-10-10T01:19:19.1367626Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1368122Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1368594Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1369106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:19:19.1369630Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1370195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:19:19.1370723Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:19:19.1370913Z 
2025-10-10T01:19:19.1371026Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1371532Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:19:19.1372002Z     feat_concat = self.fpn(feats)
2025-10-10T01:19:19.1372465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 92, in forward
2025-10-10T01:19:19.1372940Z     return torch.cat(out, dim=1)
2025-10-10T01:19:19.1373387Z 
2025-10-10T01:19:19.1373485Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1373760Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1374286Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-10-10T01:19:19.1374787Z     logits = self.prob_head(feat_concat)
2025-10-10T01:19:19.1374934Z 
2025-10-10T01:19:19.1375047Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1375569Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-10-10T01:19:19.1376069Z     logits = self.prob_head(feat_concat)
2025-10-10T01:19:19.1376217Z 
2025-10-10T01:19:19.1376338Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1376859Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-10-10T01:19:19.1377340Z     logits = self.prob_head(feat_concat)
2025-10-10T01:19:19.1377492Z 
2025-10-10T01:19:19.1377597Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1378095Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-10-10T01:19:19.1378573Z     logits = self.prob_head(feat_concat)
2025-10-10T01:19:19.1378710Z 
2025-10-10T01:19:19.1378801Z cudagraph partition due to non gpu ops
2025-10-10T01:19:19.1379046Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:19:19.1379547Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 211, in forward
2025-10-10T01:19:19.1380053Z     prob_map = _bf16_to_float32(torch.sigmoid(logits))
2025-10-10T01:19:19.1380217Z 
2025-10-10T01:19:36.9016356Z Compilation time (from dynamo_timed): 31.084682588
2025-10-10T01:19:36.9018522Z pass
2025-10-10T01:19:36.9019593Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:19:36.9020608Z TIMING: gc:0.00172 entire_frame_compile:31.08468 _recursive_pre_grad_passes:0.00878 _recursive_joint_graph_passes:0.20101 _recursive_post_grad_passes:0.13763 async_compile.wait:0.99392 code_gen:15.43719 inductor_compile:17.99728 backend_compile:21.98872 total_wall_time:31.08468
2025-10-10T01:19:36.9023759Z STATS: call_* op count: 215 | FakeTensorMode.__torch_dispatch__:11044 | FakeTensor.__torch_dispatch__:7820 | ProxyTorchDispatchMode.__torch_dispatch__:3990
2025-10-10T01:19:36.9028431Z Dynamo produced 1 graphs covering 215 ops with 3 graph breaks (2 unique)
2025-10-10T01:19:39.5054836Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:19:39.5056540Z   import pynvml  # type: ignore[import]
2025-10-10T01:19:41.8302645Z 
2025-10-10T01:19:44.4926176Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:19:44.4926487Z loading model: 0it [00:02, ?it/s]
2025-10-10T01:19:44.4932838Z cpu  eval  doctr_reco_predictor               
2025-10-10T01:19:44.7176868Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:19:44.7687375Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:19:44.8157877Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:01.8489827Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8494177Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8494630Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8494989Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8495388Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8495738Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8496059Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8496376Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8496697Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8497001Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8497450Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8497774Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8498090Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8498434Z cudagraph partition due to non gpu ops
2025-10-10T01:20:01.8498841Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8499642Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8500298Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8500519Z 
2025-10-10T01:20:01.8503215Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8503845Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8504338Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8504494Z 
2025-10-10T01:20:01.8504625Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8505099Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8505586Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8505741Z 
2025-10-10T01:20:01.8505859Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8506320Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8506763Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8506904Z 
2025-10-10T01:20:01.8507024Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8507490Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8507936Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8508081Z 
2025-10-10T01:20:01.8508199Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8508660Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8509085Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8509240Z 
2025-10-10T01:20:01.8509344Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8509777Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8510207Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8510349Z 
2025-10-10T01:20:01.8510806Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8511276Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8511835Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8511971Z 
2025-10-10T01:20:01.8512084Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8512535Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8512961Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8513112Z 
2025-10-10T01:20:01.8513222Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8513681Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8514116Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8514259Z 
2025-10-10T01:20:01.8514378Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8514839Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8515279Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8515424Z 
2025-10-10T01:20:01.8515531Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8515991Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8516420Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8516560Z 
2025-10-10T01:20:01.8516668Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8517121Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8517545Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8517682Z 
2025-10-10T01:20:01.8517794Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8518247Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8518673Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8518815Z 
2025-10-10T01:20:01.8518922Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8519390Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8519843Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8519975Z 
2025-10-10T01:20:01.8520090Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8520545Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8520972Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8521115Z 
2025-10-10T01:20:01.8521222Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8521681Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8522115Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8522250Z 
2025-10-10T01:20:01.8522366Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8522817Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8523249Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8523396Z 
2025-10-10T01:20:01.8523505Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8523956Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8524387Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8524522Z 
2025-10-10T01:20:01.8524631Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8525119Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8525580Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8525715Z 
2025-10-10T01:20:01.8525830Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8526267Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8526686Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8526853Z 
2025-10-10T01:20:01.8526960Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8527407Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8527826Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8527960Z 
2025-10-10T01:20:01.8528067Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8528521Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8528947Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8529081Z 
2025-10-10T01:20:01.8529196Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8529635Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8530047Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8530191Z 
2025-10-10T01:20:01.8530298Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8530741Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8531161Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8531296Z 
2025-10-10T01:20:01.8531411Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8531853Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8532281Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8532422Z 
2025-10-10T01:20:01.8532529Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8532979Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8533891Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8534034Z 
2025-10-10T01:20:01.8534144Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8534598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8535020Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8535158Z 
2025-10-10T01:20:01.8535273Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8535722Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8536144Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8536290Z 
2025-10-10T01:20:01.8536396Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8536836Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8537254Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8537393Z 
2025-10-10T01:20:01.8537504Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:01.8537957Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:20:01.8538382Z     features = self.feat_extractor(x)
2025-10-10T01:20:01.8538519Z 
2025-10-10T01:20:05.3446920Z Compilation time (from dynamo_timed): 19.399553332
2025-10-10T01:20:05.3447258Z pass
2025-10-10T01:20:05.3447948Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:05.3448829Z TIMING: gc:0.00197 entire_frame_compile:19.39955 _recursive_pre_grad_passes:0.00462 _recursive_joint_graph_passes:0.48481 _recursive_post_grad_passes:0.03773 async_compile.wait:0.79941 code_gen:2.53723 inductor_compile:3.28794 backend_compile:7.01742 total_wall_time:19.39955
2025-10-10T01:20:05.3450132Z STATS: call_* op count: 46 | FakeTensorMode.__torch_dispatch__:3604 | attempt fast:118 | fast is_contiguous:118 | FakeTensor.__torch_dispatch__:1331 | ProxyTorchDispatchMode.__torch_dispatch__:722
2025-10-10T01:20:05.3450751Z Dynamo produced 1 graphs covering 46 ops with 1 graph breaks (1 unique)
2025-10-10T01:20:07.8080756Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:20:07.8082220Z   import pynvml  # type: ignore[import]
2025-10-10T01:20:10.1387628Z 
2025-10-10T01:20:10.1918390Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-10-10T01:20:10.1919097Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-10-10T01:20:10.1919765Z 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.
2025-10-10T01:20:10.1920378Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-10-10T01:20:10.8099888Z 
2025-10-10T01:20:10.8100643Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:20:10.8101002Z cpu  eval  drq                                
2025-10-10T01:20:10.8186353Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:10.8244038Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:10.8287083Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:13.5573446Z cudagraph partition due to non gpu ops
2025-10-10T01:20:13.5573826Z cudagraph partition due to non gpu ops
2025-10-10T01:20:13.5574063Z cudagraph partition due to non gpu ops
2025-10-10T01:20:13.5574285Z cudagraph partition due to non gpu ops
2025-10-10T01:20:13.5574556Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5574979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5575347Z     return mod(*inputs)
2025-10-10T01:20:13.5575637Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:20:13.5575982Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:20:13.5576346Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-10-10T01:20:13.5576661Z     h = self.forward_conv(obs)
2025-10-10T01:20:13.5576971Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-10-10T01:20:13.5577307Z     conv = torch.relu(self.convs[0](obs))
2025-10-10T01:20:13.5577469Z 
2025-10-10T01:20:13.5577588Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5578073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5578433Z     return mod(*inputs)
2025-10-10T01:20:13.5578699Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:20:13.5579030Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:20:13.5579351Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-10-10T01:20:13.5579683Z     h = self.forward_conv(obs)
2025-10-10T01:20:13.5580390Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-10-10T01:20:13.5580740Z     conv = torch.relu(self.convs[i](conv))
2025-10-10T01:20:13.5581008Z 
2025-10-10T01:20:13.5581123Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5581535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5581908Z     return mod(*inputs)
2025-10-10T01:20:13.5582181Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:20:13.5582509Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:20:13.5582840Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-10-10T01:20:13.5583154Z     h = self.forward_conv(obs)
2025-10-10T01:20:13.5583455Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-10-10T01:20:13.5583798Z     conv = torch.relu(self.convs[i](conv))
2025-10-10T01:20:13.5583956Z 
2025-10-10T01:20:13.5584073Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5584476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5584850Z     return mod(*inputs)
2025-10-10T01:20:13.5585116Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:20:13.5585440Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:20:13.5585759Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-10-10T01:20:13.5586065Z     h = self.forward_conv(obs)
2025-10-10T01:20:13.5586359Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-10-10T01:20:13.5586686Z     conv = torch.relu(self.convs[i](conv))
2025-10-10T01:20:13.5586841Z 
2025-10-10T01:20:13.5586959Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5587357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5587714Z     return mod(*inputs)
2025-10-10T01:20:13.5587991Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:20:13.5588317Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:20:13.5588640Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-10-10T01:20:13.5588945Z     h = self.forward_conv(obs)
2025-10-10T01:20:13.5589243Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-10-10T01:20:13.5589570Z     conv = torch.relu(self.convs[i](conv))
2025-10-10T01:20:13.5589719Z 
2025-10-10T01:20:13.5589842Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5590609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5590966Z     return mod(*inputs)
2025-10-10T01:20:13.5591233Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:20:13.5591557Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:20:13.5591874Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward
2025-10-10T01:20:13.5592166Z     out = self.head(h)
2025-10-10T01:20:13.5592283Z 
2025-10-10T01:20:13.5592396Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5592800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5593163Z     return mod(*inputs)
2025-10-10T01:20:13.5593436Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:20:13.5593753Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:20:13.5594064Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward
2025-10-10T01:20:13.5594365Z     out = torch.tanh(out)
2025-10-10T01:20:13.5594485Z 
2025-10-10T01:20:13.5594601Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5594992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5595352Z     return mod(*inputs)
2025-10-10T01:20:13.5595692Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-10-10T01:20:13.5596069Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-10-10T01:20:13.5596224Z 
2025-10-10T01:20:13.5596342Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5596722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5597089Z     return mod(*inputs)
2025-10-10T01:20:13.5597355Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-10-10T01:20:13.5601849Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-10-10T01:20:13.5602009Z 
2025-10-10T01:20:13.5602123Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5602517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5602884Z     return mod(*inputs)
2025-10-10T01:20:13.5603160Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-10-10T01:20:13.5603474Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-10-10T01:20:13.5603631Z 
2025-10-10T01:20:13.5603740Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5604125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5604485Z     return mod(*inputs)
2025-10-10T01:20:13.5604749Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-10-10T01:20:13.5605056Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-10-10T01:20:13.5605249Z 
2025-10-10T01:20:13.5605368Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5605745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5606113Z     return mod(*inputs)
2025-10-10T01:20:13.5606374Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-10-10T01:20:13.5606688Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-10-10T01:20:13.5606839Z 
2025-10-10T01:20:13.5606958Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:13.5607335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:13.5607686Z     return mod(*inputs)
2025-10-10T01:20:13.5607960Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward
2025-10-10T01:20:13.5608257Z     std = log_std.exp()
2025-10-10T01:20:13.5608366Z 
2025-10-10T01:20:23.3386893Z Compilation time (from dynamo_timed): 11.469069013
2025-10-10T01:20:23.3387236Z pass
2025-10-10T01:20:23.3395164Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:23.3397480Z TIMING: _recursive_pre_grad_passes:0.00542 _recursive_joint_graph_passes:0.14555 _recursive_post_grad_passes:0.0196 async_compile.wait:0.75571 code_gen:9.65102 inductor_compile:9.78046 backend_compile:10.80892 gc:0.00069 entire_frame_compile:11.46907 total_wall_time:11.46907
2025-10-10T01:20:23.3398463Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:245 | FakeTensorMode.__torch_dispatch__:883 | ProxyTorchDispatchMode.__torch_dispatch__:126
2025-10-10T01:20:23.3398992Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-10-10T01:20:25.3558434Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:20:25.3559894Z   import pynvml  # type: ignore[import]
2025-10-10T01:20:27.6778580Z 
2025-10-10T01:20:29.1442292Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:20:29.1448260Z loading model: 0it [00:01, ?it/s]
2025-10-10T01:20:29.1452853Z cpu  eval  fastNLP_Bert                       
2025-10-10T01:20:30.3141851Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:30.8803425Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:31.4409866Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:32.6302810Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-10-10T01:20:32.6303576Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-10-10T01:20:32.6304672Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] or:
2025-10-10T01:20:32.6305215Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-10-10T01:20:32.6305862Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] to include these operations in the captured graph.
2025-10-10T01:20:32.6306388Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] 
2025-10-10T01:20:32.6306879Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] Graph break: from user code at:
2025-10-10T01:20:32.6307619Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:20:32.6308318Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     return mod(*inputs)
2025-10-10T01:20:32.6309066Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward
2025-10-10T01:20:32.6309792Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     sequence_output = self.bert(words)
2025-10-10T01:20:32.6310592Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward
2025-10-10T01:20:32.6311336Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     outputs = self.model(words)
2025-10-10T01:20:32.6312070Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-10-10T01:20:32.6313804Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [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)
2025-10-10T01:20:32.6314440Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] 
2025-10-10T01:20:32.6314854Z W1010 01:20:32.628000 17510 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] 
2025-10-10T01:20:42.8183146Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:42.8186827Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-10-10T01:20:42.8191299Z     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-10-10T01:20:42.8191619Z 
2025-10-10T01:20:42.8191761Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:42.8192278Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward
2025-10-10T01:20:42.8192709Z     seq_len = word_mask.sum(dim=-1)
2025-10-10T01:20:42.8192864Z 
2025-10-10T01:20:50.5170735Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5171786Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward
2025-10-10T01:20:50.5172267Z     embedding_output = self.embeddings(input_ids, token_type_ids)
2025-10-10T01:20:50.5172821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward
2025-10-10T01:20:50.5173736Z     embeddings = words_embeddings + position_embeddings + token_type_embeddings
2025-10-10T01:20:50.5173987Z 
2025-10-10T01:20:50.5174120Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5174597Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5175185Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5175601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5176035Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5176488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5176939Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5177381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5177805Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5178232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5178635Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5178801Z 
2025-10-10T01:20:50.5178925Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5179349Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5179765Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5180182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5180620Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5181055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5181494Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5181966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5182389Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5182809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5183214Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5183367Z 
2025-10-10T01:20:50.5183486Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5183912Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5184331Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5184737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5185170Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5185591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5186055Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5186495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5186909Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5187375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5187783Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5187987Z 
2025-10-10T01:20:50.5188081Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5188313Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5188566Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5188979Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5189393Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5189833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5190507Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5190941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5191384Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5191878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5192317Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5192749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5193149Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5193301Z 
2025-10-10T01:20:50.5193414Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5193835Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5194250Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5194656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5195083Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5195511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5195950Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5197534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5198780Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5199071Z 
2025-10-10T01:20:50.5199212Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5199831Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5200411Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5200939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5201928Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5202691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5203436Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5203928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5204452Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5204979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5205404Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5205744Z 
2025-10-10T01:20:50.5205871Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5206702Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5207191Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5207688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5208235Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5208702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5209234Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5209788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5210277Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5210513Z 
2025-10-10T01:20:50.5210635Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5211083Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5211577Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5212087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5212529Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5213120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5213620Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5214190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5214627Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5215102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5215567Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5215735Z 
2025-10-10T01:20:50.5215862Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5216291Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5216719Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5217132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5217679Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5218116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5218561Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5219010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5219444Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5219868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5220269Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5220419Z 
2025-10-10T01:20:50.5220534Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5221013Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5221501Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5222021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5222460Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5222876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5223377Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5223874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5224297Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5224703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5225106Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5225273Z 
2025-10-10T01:20:50.5225367Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5225654Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5225923Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5226353Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5226764Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5227167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5227619Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5228100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5228570Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5229002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5229435Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5229864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5230269Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5230427Z 
2025-10-10T01:20:50.5230542Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5230961Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5231386Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5231788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5232205Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5232632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5233076Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5233504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5233896Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5234046Z 
2025-10-10T01:20:50.5234161Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5234571Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5234981Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5235380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5235797Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5236216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5236648Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5237072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5237491Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5237973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5238414Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5238593Z 
2025-10-10T01:20:50.5238706Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5239110Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5239508Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5239896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5240347Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5240761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5241213Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5241758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5242150Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5242309Z 
2025-10-10T01:20:50.5242420Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5242834Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5243245Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5243643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5244066Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5244478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5244896Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5245319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5245729Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5246125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5246521Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5246684Z 
2025-10-10T01:20:50.5246793Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5247197Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5247591Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5247982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5248406Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5248833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5249272Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5249695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5250108Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5250513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5250905Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5251051Z 
2025-10-10T01:20:50.5251170Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5251574Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5251980Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5252442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5252885Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5253678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5254141Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5254593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5255049Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5255433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5255808Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5255968Z 
2025-10-10T01:20:50.5256058Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5256293Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5256554Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5256968Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5257362Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5257738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5258135Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5258553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5258998Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5259428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5259848Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5260258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5260652Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5260800Z 
2025-10-10T01:20:50.5260918Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5261328Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5261732Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5262133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5262557Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5262963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5263390Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5263817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5264223Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5264367Z 
2025-10-10T01:20:50.5264483Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5264884Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5265297Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5265699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5266126Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5266543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5267033Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5267491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5268039Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5268455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5268861Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5269023Z 
2025-10-10T01:20:50.5269164Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5269572Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5269982Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5270381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5270796Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5271217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5271656Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5272089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5272481Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5272632Z 
2025-10-10T01:20:50.5272745Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5273154Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5273554Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5273950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5274361Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5274767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5275206Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5275638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5276045Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5276451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5276844Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5277006Z 
2025-10-10T01:20:50.5277113Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5277521Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5277921Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5278306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5278725Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5279138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5279580Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5280017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5280416Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5280818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5281293Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5281442Z 
2025-10-10T01:20:50.5281582Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5281987Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5282378Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5282774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5283192Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5283655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5284085Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5284508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5284916Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5285320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5285723Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5285876Z 
2025-10-10T01:20:50.5285968Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5286192Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5286444Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5286850Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5287253Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5287637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5288065Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5288479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5288913Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5289342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5289774Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5290395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5290806Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5290958Z 
2025-10-10T01:20:50.5291081Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5291505Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5291916Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5292333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5292776Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5293286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5293746Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5294178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5294581Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5294735Z 
2025-10-10T01:20:50.5294846Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5295232Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5295724Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5296128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5296583Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5297019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5297445Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5297879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5298354Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5298771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5299175Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5299336Z 
2025-10-10T01:20:50.5299456Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5299867Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5300273Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5300666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5301082Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5301471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5301887Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5302317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5302707Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5302854Z 
2025-10-10T01:20:50.5302975Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5303378Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5303780Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5304172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5304612Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5305041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5305486Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5305929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5306336Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5306744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5307141Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5307297Z 
2025-10-10T01:20:50.5307406Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5307809Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5308205Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5308595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5309015Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5309431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5309868Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5310351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5310780Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5311176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5311572Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5311720Z 
2025-10-10T01:20:50.5311829Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5312229Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5312659Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5313051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5313479Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5313902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5314347Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5314784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5315201Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5315613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5316015Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5316178Z 
2025-10-10T01:20:50.5316276Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5316507Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5316774Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5317208Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5317633Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5318048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5318479Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5318915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5319372Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5319963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5320385Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5320895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5321286Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5321441Z 
2025-10-10T01:20:50.5321551Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5321963Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5322374Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5322772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5323198Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5323626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5324100Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5324584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5324985Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5325163Z 
2025-10-10T01:20:50.5325275Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5325692Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5326106Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5326489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5326915Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5327368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5327806Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5328250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5328669Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5329095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5329506Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5329675Z 
2025-10-10T01:20:50.5329792Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5330207Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5330617Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5331020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5331452Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5331881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5332323Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5332773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5333312Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5333469Z 
2025-10-10T01:20:50.5333596Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5334017Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5334428Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5334838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5335274Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5335712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5336165Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5336609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5337048Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5337471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5337882Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5338044Z 
2025-10-10T01:20:50.5338163Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5338575Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5338986Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5339462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5339909Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5340324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5340771Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5341211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5341627Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5342070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5342466Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5342621Z 
2025-10-10T01:20:50.5342729Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5343144Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5343557Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5343962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5344372Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5344795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5345243Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5345687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5346104Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5346517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5346911Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5347075Z 
2025-10-10T01:20:50.5347162Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5347388Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5347633Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5348047Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5348456Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5348855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5349282Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5349705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5350142Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5350567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5350988Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5351404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5351783Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5351935Z 
2025-10-10T01:20:50.5352043Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5352448Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5352852Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5353238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5353706Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5354124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5354568Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5354989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5355368Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5355520Z 
2025-10-10T01:20:50.5355627Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5356059Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5356453Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5356843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5357255Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5357682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5358107Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5358538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5358966Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5359379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5359781Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5359949Z 
2025-10-10T01:20:50.5360059Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5360463Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5360866Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5361252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5361668Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5362083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5362519Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5362945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5363331Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5363483Z 
2025-10-10T01:20:50.5363592Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5363995Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5364398Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5364788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5365204Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5365612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5366044Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5366480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5366879Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5367282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5367671Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5367876Z 
2025-10-10T01:20:50.5367995Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5368428Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5368814Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5369202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5369616Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5370031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5370508Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5370954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5371378Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5371799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5372200Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5372351Z 
2025-10-10T01:20:50.5372466Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5372884Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5373400Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5373813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5374247Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5374667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5375122Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5375568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5375989Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5376409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5376819Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5376989Z 
2025-10-10T01:20:50.5377076Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5377310Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5377566Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5377977Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5378400Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5378810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5379236Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5379661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5380103Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5380549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5380991Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5381427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5381832Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5381980Z 
2025-10-10T01:20:50.5382092Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5382562Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5383000Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5383403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5383824Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5384263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5384702Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5385170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5385569Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5385709Z 
2025-10-10T01:20:50.5385816Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5386227Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5386639Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5387032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5387443Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5387877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5388301Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5388727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5389148Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5389557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5389948Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5390324Z 
2025-10-10T01:20:50.5390439Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5390851Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5391253Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5391645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5392073Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5392493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5392933Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5393371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5393757Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5393910Z 
2025-10-10T01:20:50.5394019Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5394424Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5394821Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5395213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5395621Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5396035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5396477Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5397000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5397435Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5397831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5398234Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5398394Z 
2025-10-10T01:20:50.5398504Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5398914Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5399371Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5399757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5400169Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5400583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5401017Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5401434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5401848Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5402258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5402651Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5402799Z 
2025-10-10T01:20:50.5402917Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5403321Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5403725Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5404129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5404555Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5404977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5405412Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5405852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5406265Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5406679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5407094Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5407252Z 
2025-10-10T01:20:50.5407340Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5407572Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5407827Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5408249Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5408652Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5409053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5409479Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5409904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5410348Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5410780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5411261Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5411694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5412114Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5412263Z 
2025-10-10T01:20:50.5412382Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5412795Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5413282Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5413725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5414159Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5414579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5415028Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5415469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5415875Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5416025Z 
2025-10-10T01:20:50.5416144Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5416555Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5416965Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5417375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5417809Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5418228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5418654Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5419075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5419490Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5419899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5420298Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5420460Z 
2025-10-10T01:20:50.5420568Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5420973Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5421381Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5421776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5422196Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5422605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5423060Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5423512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5423897Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5424042Z 
2025-10-10T01:20:50.5424151Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5424564Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5424979Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5425389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5425847Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5426283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5426730Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5427178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5427601Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5428020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5428431Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5428594Z 
2025-10-10T01:20:50.5428703Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5429109Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5429506Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5429896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5430301Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5430713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5431146Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5431594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5432002Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5432400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5432796Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5432941Z 
2025-10-10T01:20:50.5433056Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5433461Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5433853Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5434246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5434657Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5435070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5435505Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5435927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5436345Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5436748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5437143Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5437295Z 
2025-10-10T01:20:50.5437390Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5437609Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5437864Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5438284Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5438685Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5439075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5439505Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5439980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5440461Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5440902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5441340Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5441771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5442198Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5442347Z 
2025-10-10T01:20:50.5442468Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5442889Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5443294Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5443704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5444140Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5444566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5444996Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5445430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5445836Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5445984Z 
2025-10-10T01:20:50.5446104Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5446521Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5446921Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5447328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5447757Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5467795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5468659Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5469425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5470134Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5470819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5471492Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5471758Z 
2025-10-10T01:20:50.5471947Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5472658Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5473348Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5474020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5474723Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5475419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5476130Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5476792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5477204Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5477360Z 
2025-10-10T01:20:50.5477699Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5478136Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5478604Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5479015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5479454Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5479880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5480380Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5480831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5481267Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5481693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5482102Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5482275Z 
2025-10-10T01:20:50.5482391Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5482821Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5483240Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5483652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5484087Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5484519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5484973Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5485429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5485849Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5486274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5486680Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5486833Z 
2025-10-10T01:20:50.5486958Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5487381Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5487793Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5488205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5488643Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5489080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5489531Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5490125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5490568Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5490996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5491414Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5491575Z 
2025-10-10T01:20:50.5491680Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5491915Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5492177Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5492729Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5493225Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5493682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5494118Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5494546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5494996Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5495479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5495908Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5496340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5496746Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5496898Z 
2025-10-10T01:20:50.5497022Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5497440Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5497854Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5498255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5498675Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5499091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5499509Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5499930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5500323Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5500469Z 
2025-10-10T01:20:50.5500586Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5500988Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5501381Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5501776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5502192Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5502610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5503028Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5503439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5503855Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5504271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5504675Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5504836Z 
2025-10-10T01:20:50.5504954Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5505355Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5505760Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5506160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5506582Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5506988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5507466Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5507924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5508311Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5508457Z 
2025-10-10T01:20:50.5508573Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5508972Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5509376Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5509797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5510220Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5510645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5511082Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5511520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5511934Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5512342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5512744Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5512900Z 
2025-10-10T01:20:50.5513011Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5513422Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5513822Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5514219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5514639Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5515053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5515489Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5515927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5516347Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5516748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5517149Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5517303Z 
2025-10-10T01:20:50.5517410Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5517821Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5518222Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5518612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5519038Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5519464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5519907Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5520357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5520767Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5521174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5521638Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5521796Z 
2025-10-10T01:20:50.5521910Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5522142Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5522400Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5522822Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5523236Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5523653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5524093Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5524506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5524948Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5525378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5525803Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5526223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5526616Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5526761Z 
2025-10-10T01:20:50.5526875Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5527274Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5527680Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5528075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5528492Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5528923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5529357Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5529793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5530193Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5530342Z 
2025-10-10T01:20:50.5530462Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5530876Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5531287Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5531699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5532134Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5532567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5533079Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5533526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5533954Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5534378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5534797Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5534963Z 
2025-10-10T01:20:50.5535077Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5535499Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5535972Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5536386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5536833Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5537249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5537702Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5538146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5538577Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5538727Z 
2025-10-10T01:20:50.5538846Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5539258Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5539680Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5540090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5540523Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5540947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5541402Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5541845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5542234Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5542634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:20:50.5543027Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:20:50.5543192Z 
2025-10-10T01:20:50.5543302Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5543711Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5544110Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5544506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5544917Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5545331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5545767Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5546203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5546623Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5547024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:20:50.5547416Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:20:50.5547569Z 
2025-10-10T01:20:50.5547677Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5548084Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5548481Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5548875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5549295Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5549728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5550165Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5550646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:20:50.5551086Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:20:50.5551506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:20:50.5551912Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:20:50.5552065Z 
2025-10-10T01:20:50.5552158Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5552377Z cudagraph partition due to non gpu ops
2025-10-10T01:20:50.5552646Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5553064Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5553476Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5553868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5554289Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5554715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:20:50.5555161Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:20:50.5555612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:20:50.5556050Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:20:50.5556463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:20:50.5556856Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5557000Z 
2025-10-10T01:20:50.5557116Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5557525Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5557918Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5558312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5558740Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5559153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5559584Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5560001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:20:50.5560390Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5560540Z 
2025-10-10T01:20:50.5560647Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5561053Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5561445Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5561836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5562256Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5562681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:20:50.5563114Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:20:50.5563530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:20:50.5563956Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:20:50.5564370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:20:50.5564812Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:20:50.5564991Z 
2025-10-10T01:20:50.5565107Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5565517Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:20:50.5565931Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:20:50.5566335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:20:50.5566766Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:20:50.5567218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:20:50.5567664Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:20:50.5568118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:20:50.5568517Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:20:50.5568669Z 
2025-10-10T01:20:50.5568789Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5569196Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-10-10T01:20:50.5569613Z     pooled_output = self.pooler(sequence_output)
2025-10-10T01:20:50.5570016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward
2025-10-10T01:20:50.5570425Z     pooled_output = self.dense(first_token_tensor)
2025-10-10T01:20:50.5570588Z 
2025-10-10T01:20:50.5570706Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:50.5571111Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-10-10T01:20:50.5571520Z     pooled_output = self.pooler(sequence_output)
2025-10-10T01:20:50.5571926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward
2025-10-10T01:20:50.5572343Z     pooled_output = self.activation(pooled_output)
2025-10-10T01:20:50.5572506Z 
2025-10-10T01:20:53.2103431Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:53.2104114Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 140, in torch_dynamo_resume_in_forward_at_137
2025-10-10T01:20:53.2104716Z     return self.dropout(outputs)
2025-10-10T01:20:53.2105211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout
2025-10-10T01:20:53.2105670Z     return self.dropout_layer(words)
2025-10-10T01:20:53.2105818Z 
2025-10-10T01:20:53.8258736Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:20:53.8259386Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 266, in torch_dynamo_resume_in_forward_at_265
2025-10-10T01:20:53.8262356Z     logits = self.qa_outputs(sequence_output)  # [batch_size, seq_len, num_labels]
2025-10-10T01:20:53.8262613Z 
2025-10-10T01:20:54.1133733Z Compilation time (from dynamo_timed): 21.133769687
2025-10-10T01:20:54.1134073Z pass
2025-10-10T01:20:54.1134401Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:54.1135244Z TIMING: gc:0.00477 entire_frame_compile:21.13377 _recursive_pre_grad_passes:0.01017 _recursive_joint_graph_passes:0.56001 _recursive_post_grad_passes:0.07252 async_compile.wait:1.86266 code_gen:3.83056 inductor_compile:5.08384 backend_compile:8.64351 total_wall_time:21.13377
2025-10-10T01:20:54.1136338Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:9194 | ProxyTorchDispatchMode.__torch_dispatch__:2710 | FakeTensor.__torch_dispatch__:4216
2025-10-10T01:20:54.1136872Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique)
2025-10-10T01:20:56.4472894Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:20:56.4474401Z   import pynvml  # type: ignore[import]
2025-10-10T01:20:58.7924132Z 
2025-10-10T01:20:59.1987872Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:20:59.1988178Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:20:59.1992026Z cpu  eval  functorch_dp_cifar10               
2025-10-10T01:20:59.2372826Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:59.2567246Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:20:59.2746226Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:21:10.0578344Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0578828Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0579190Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0579413Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0579732Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0583758Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0588556Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0590924Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0591171Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0591414Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0591669Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0591919Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0592144Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0592370Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0592583Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0592822Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0593056Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0593288Z cudagraph partition due to non gpu ops
2025-10-10T01:21:10.0593549Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0593963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0594333Z     return mod(*inputs)
2025-10-10T01:21:10.0594735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0595144Z     return self._forward_impl(x)
2025-10-10T01:21:10.0595549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-10-10T01:21:10.0595941Z     x = self.conv1(x)
2025-10-10T01:21:10.0596101Z 
2025-10-10T01:21:10.0596213Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0596648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0597024Z     return mod(*inputs)
2025-10-10T01:21:10.0597385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0597760Z     return self._forward_impl(x)
2025-10-10T01:21:10.0598146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-10-10T01:21:10.0598528Z     x = self.relu(x)
2025-10-10T01:21:10.0598633Z 
2025-10-10T01:21:10.0598750Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0599143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0599486Z     return mod(*inputs)
2025-10-10T01:21:10.0599841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0600220Z     return self._forward_impl(x)
2025-10-10T01:21:10.0600986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-10-10T01:21:10.0601433Z     x = self.maxpool(x)
2025-10-10T01:21:10.0601550Z 
2025-10-10T01:21:10.0601661Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0602092Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0602449Z     return mod(*inputs)
2025-10-10T01:21:10.0602798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0603233Z     return self._forward_impl(x)
2025-10-10T01:21:10.0603617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:21:10.0604008Z     x = self.layer1(x)
2025-10-10T01:21:10.0604351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:21:10.0604716Z     out = self.conv1(x)
2025-10-10T01:21:10.0604833Z 
2025-10-10T01:21:10.0604942Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0605345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0605694Z     return mod(*inputs)
2025-10-10T01:21:10.0606039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0606409Z     return self._forward_impl(x)
2025-10-10T01:21:10.0606789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:21:10.0607188Z     x = self.layer1(x)
2025-10-10T01:21:10.0607524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:21:10.0607915Z     out = self.relu(out)
2025-10-10T01:21:10.0608036Z 
2025-10-10T01:21:10.0608147Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0608548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0608918Z     return mod(*inputs)
2025-10-10T01:21:10.0609271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0609656Z     return self._forward_impl(x)
2025-10-10T01:21:10.0610048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:21:10.0610447Z     x = self.layer1(x)
2025-10-10T01:21:10.0610798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:21:10.0611176Z     out = self.conv2(out)
2025-10-10T01:21:10.0611302Z 
2025-10-10T01:21:10.0611413Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0611814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0612176Z     return mod(*inputs)
2025-10-10T01:21:10.0612526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0612911Z     return self._forward_impl(x)
2025-10-10T01:21:10.0613554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:21:10.0613961Z     x = self.layer1(x)
2025-10-10T01:21:10.0614314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:21:10.0614689Z     out = self.relu(out)
2025-10-10T01:21:10.0614813Z 
2025-10-10T01:21:10.0614924Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0615324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0615687Z     return mod(*inputs)
2025-10-10T01:21:10.0616166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0616558Z     return self._forward_impl(x)
2025-10-10T01:21:10.0617002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:21:10.0617407Z     x = self.layer1(x)
2025-10-10T01:21:10.0617753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:21:10.0618121Z     out = self.conv1(x)
2025-10-10T01:21:10.0618239Z 
2025-10-10T01:21:10.0618349Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0618768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0619133Z     return mod(*inputs)
2025-10-10T01:21:10.0619479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0619860Z     return self._forward_impl(x)
2025-10-10T01:21:10.0620250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:21:10.0620639Z     x = self.layer1(x)
2025-10-10T01:21:10.0620986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:21:10.0621358Z     out = self.relu(out)
2025-10-10T01:21:10.0621481Z 
2025-10-10T01:21:10.0621593Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0621979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0622327Z     return mod(*inputs)
2025-10-10T01:21:10.0622670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0623043Z     return self._forward_impl(x)
2025-10-10T01:21:10.0623423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:21:10.0623814Z     x = self.layer1(x)
2025-10-10T01:21:10.0624154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:21:10.0624523Z     out = self.conv2(out)
2025-10-10T01:21:10.0624647Z 
2025-10-10T01:21:10.0624755Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0625129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0625463Z     return mod(*inputs)
2025-10-10T01:21:10.0625800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0626158Z     return self._forward_impl(x)
2025-10-10T01:21:10.0626529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:21:10.0626903Z     x = self.layer1(x)
2025-10-10T01:21:10.0627247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:21:10.0627601Z     out = self.relu(out)
2025-10-10T01:21:10.0627719Z 
2025-10-10T01:21:10.0627829Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0628204Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0628540Z     return mod(*inputs)
2025-10-10T01:21:10.0628873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0629230Z     return self._forward_impl(x)
2025-10-10T01:21:10.0629603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:21:10.0629975Z     x = self.layer2(x)
2025-10-10T01:21:10.0630308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:21:10.0630659Z     out = self.conv1(x)
2025-10-10T01:21:10.0630803Z 
2025-10-10T01:21:10.0630911Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0631305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0631639Z     return mod(*inputs)
2025-10-10T01:21:10.0631971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0632328Z     return self._forward_impl(x)
2025-10-10T01:21:10.0632699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:21:10.0633093Z     x = self.layer2(x)
2025-10-10T01:21:10.0633425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:21:10.0633774Z     out = self.relu(out)
2025-10-10T01:21:10.0633891Z 
2025-10-10T01:21:10.0633996Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0634370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0634710Z     return mod(*inputs)
2025-10-10T01:21:10.0635038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0635394Z     return self._forward_impl(x)
2025-10-10T01:21:10.0635764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:21:10.0636138Z     x = self.layer2(x)
2025-10-10T01:21:10.0636469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:21:10.0636834Z     out = self.conv2(out)
2025-10-10T01:21:10.0636947Z 
2025-10-10T01:21:10.0637055Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0637434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0637772Z     return mod(*inputs)
2025-10-10T01:21:10.0638112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0638480Z     return self._forward_impl(x)
2025-10-10T01:21:10.0638852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:21:10.0639226Z     x = self.layer2(x)
2025-10-10T01:21:10.0639557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-10-10T01:21:10.0639931Z     identity = self.downsample(x)
2025-10-10T01:21:10.0640066Z 
2025-10-10T01:21:10.0640173Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0640547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0640880Z     return mod(*inputs)
2025-10-10T01:21:10.0641219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0641576Z     return self._forward_impl(x)
2025-10-10T01:21:10.0641949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:21:10.0642366Z     x = self.layer2(x)
2025-10-10T01:21:10.0642697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:21:10.0643070Z     out = self.relu(out)
2025-10-10T01:21:10.0643182Z 
2025-10-10T01:21:10.0643290Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0643673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0644008Z     return mod(*inputs)
2025-10-10T01:21:10.0644341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0644697Z     return self._forward_impl(x)
2025-10-10T01:21:10.0645110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:21:10.0645504Z     x = self.layer2(x)
2025-10-10T01:21:10.0645836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:21:10.0646189Z     out = self.conv1(x)
2025-10-10T01:21:10.0646294Z 
2025-10-10T01:21:10.0646399Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0646772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0647127Z     return mod(*inputs)
2025-10-10T01:21:10.0647460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0647830Z     return self._forward_impl(x)
2025-10-10T01:21:10.0648220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:21:10.0648603Z     x = self.layer2(x)
2025-10-10T01:21:10.0648937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:21:10.0649295Z     out = self.relu(out)
2025-10-10T01:21:10.0649405Z 
2025-10-10T01:21:10.0649510Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0649888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0650223Z     return mod(*inputs)
2025-10-10T01:21:10.0650557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0650918Z     return self._forward_impl(x)
2025-10-10T01:21:10.0651289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:21:10.0651668Z     x = self.layer2(x)
2025-10-10T01:21:10.0652005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:21:10.0652378Z     out = self.conv2(out)
2025-10-10T01:21:10.0652497Z 
2025-10-10T01:21:10.0652609Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0653086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0653454Z     return mod(*inputs)
2025-10-10T01:21:10.0653810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0654192Z     return self._forward_impl(x)
2025-10-10T01:21:10.0654584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:21:10.0654998Z     x = self.layer2(x)
2025-10-10T01:21:10.0655346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:21:10.0655730Z     out = self.relu(out)
2025-10-10T01:21:10.0655841Z 
2025-10-10T01:21:10.0655952Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0656331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0656673Z     return mod(*inputs)
2025-10-10T01:21:10.0657013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0657377Z     return self._forward_impl(x)
2025-10-10T01:21:10.0657755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:21:10.0658143Z     x = self.layer3(x)
2025-10-10T01:21:10.0658485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:21:10.0658848Z     out = self.conv1(x)
2025-10-10T01:21:10.0658952Z 
2025-10-10T01:21:10.0659060Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0659482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0659823Z     return mod(*inputs)
2025-10-10T01:21:10.0660182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0660542Z     return self._forward_impl(x)
2025-10-10T01:21:10.0660924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:21:10.0661310Z     x = self.layer3(x)
2025-10-10T01:21:10.0661642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:21:10.0662051Z     out = self.relu(out)
2025-10-10T01:21:10.0662158Z 
2025-10-10T01:21:10.0662265Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0662636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0662973Z     return mod(*inputs)
2025-10-10T01:21:10.0663311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0663674Z     return self._forward_impl(x)
2025-10-10T01:21:10.0664045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:21:10.0664420Z     x = self.layer3(x)
2025-10-10T01:21:10.0664751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:21:10.0665127Z     out = self.conv2(out)
2025-10-10T01:21:10.0665240Z 
2025-10-10T01:21:10.0665404Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0665779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0666110Z     return mod(*inputs)
2025-10-10T01:21:10.0666444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0666824Z     return self._forward_impl(x)
2025-10-10T01:21:10.0667199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:21:10.0667583Z     x = self.layer3(x)
2025-10-10T01:21:10.0667913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-10-10T01:21:10.0668287Z     identity = self.downsample(x)
2025-10-10T01:21:10.0668428Z 
2025-10-10T01:21:10.0668536Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0668918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0669248Z     return mod(*inputs)
2025-10-10T01:21:10.0669585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0669955Z     return self._forward_impl(x)
2025-10-10T01:21:10.0670332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:21:10.0670710Z     x = self.layer3(x)
2025-10-10T01:21:10.0671039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:21:10.0671401Z     out = self.relu(out)
2025-10-10T01:21:10.0671517Z 
2025-10-10T01:21:10.0671624Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0671998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0672326Z     return mod(*inputs)
2025-10-10T01:21:10.0672673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0673039Z     return self._forward_impl(x)
2025-10-10T01:21:10.0673410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:21:10.0673785Z     x = self.layer3(x)
2025-10-10T01:21:10.0674164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:21:10.0674543Z     out = self.conv1(x)
2025-10-10T01:21:10.0674658Z 
2025-10-10T01:21:10.0674766Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0675149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0675485Z     return mod(*inputs)
2025-10-10T01:21:10.0675828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0676242Z     return self._forward_impl(x)
2025-10-10T01:21:10.0676616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:21:10.0677000Z     x = self.layer3(x)
2025-10-10T01:21:10.0677331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:21:10.0677695Z     out = self.relu(out)
2025-10-10T01:21:10.0677812Z 
2025-10-10T01:21:10.0677924Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0678298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0678627Z     return mod(*inputs)
2025-10-10T01:21:10.0678968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0679337Z     return self._forward_impl(x)
2025-10-10T01:21:10.0679711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:21:10.0680094Z     x = self.layer3(x)
2025-10-10T01:21:10.0680421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:21:10.0680783Z     out = self.conv2(out)
2025-10-10T01:21:10.0680904Z 
2025-10-10T01:21:10.0681018Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0681404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0681745Z     return mod(*inputs)
2025-10-10T01:21:10.0682098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0682502Z     return self._forward_impl(x)
2025-10-10T01:21:10.0682877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:21:10.0683265Z     x = self.layer3(x)
2025-10-10T01:21:10.0683599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:21:10.0683973Z     out = self.relu(out)
2025-10-10T01:21:10.0684091Z 
2025-10-10T01:21:10.0684199Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0684582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0684914Z     return mod(*inputs)
2025-10-10T01:21:10.0685254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0685624Z     return self._forward_impl(x)
2025-10-10T01:21:10.0686001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:21:10.0686390Z     x = self.layer4(x)
2025-10-10T01:21:10.0686717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:21:10.0687079Z     out = self.conv1(x)
2025-10-10T01:21:10.0687191Z 
2025-10-10T01:21:10.0687297Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0687675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0688009Z     return mod(*inputs)
2025-10-10T01:21:10.0688390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0688776Z     return self._forward_impl(x)
2025-10-10T01:21:10.0689151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:21:10.0689525Z     x = self.layer4(x)
2025-10-10T01:21:10.0689849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:21:10.0690514Z     out = self.relu(out)
2025-10-10T01:21:10.0690637Z 
2025-10-10T01:21:10.0690747Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0691198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0691529Z     return mod(*inputs)
2025-10-10T01:21:10.0691869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0692251Z     return self._forward_impl(x)
2025-10-10T01:21:10.0692640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:21:10.0693080Z     x = self.layer4(x)
2025-10-10T01:21:10.0693430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:21:10.0693808Z     out = self.conv2(out)
2025-10-10T01:21:10.0693932Z 
2025-10-10T01:21:10.0694043Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0694437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0694769Z     return mod(*inputs)
2025-10-10T01:21:10.0695106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0695475Z     return self._forward_impl(x)
2025-10-10T01:21:10.0695854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:21:10.0696231Z     x = self.layer4(x)
2025-10-10T01:21:10.0696556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-10-10T01:21:10.0696927Z     identity = self.downsample(x)
2025-10-10T01:21:10.0697066Z 
2025-10-10T01:21:10.0697171Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0697546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0697886Z     return mod(*inputs)
2025-10-10T01:21:10.0698222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0698588Z     return self._forward_impl(x)
2025-10-10T01:21:10.0698964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:21:10.0699339Z     x = self.layer4(x)
2025-10-10T01:21:10.0699670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:21:10.0700036Z     out = self.relu(out)
2025-10-10T01:21:10.0700151Z 
2025-10-10T01:21:10.0700258Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0700632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0700965Z     return mod(*inputs)
2025-10-10T01:21:10.0701296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0701659Z     return self._forward_impl(x)
2025-10-10T01:21:10.0702033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:21:10.0702411Z     x = self.layer4(x)
2025-10-10T01:21:10.0702734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:21:10.0703169Z     out = self.conv1(x)
2025-10-10T01:21:10.0703284Z 
2025-10-10T01:21:10.0703391Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0703790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0704125Z     return mod(*inputs)
2025-10-10T01:21:10.0704457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0704829Z     return self._forward_impl(x)
2025-10-10T01:21:10.0705199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:21:10.0705603Z     x = self.layer4(x)
2025-10-10T01:21:10.0705933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:21:10.0706300Z     out = self.relu(out)
2025-10-10T01:21:10.0706416Z 
2025-10-10T01:21:10.0706524Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0706908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0707246Z     return mod(*inputs)
2025-10-10T01:21:10.0707582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0707965Z     return self._forward_impl(x)
2025-10-10T01:21:10.0708343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:21:10.0708727Z     x = self.layer4(x)
2025-10-10T01:21:10.0709054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:21:10.0709426Z     out = self.conv2(out)
2025-10-10T01:21:10.0709544Z 
2025-10-10T01:21:10.0709702Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0710089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0710466Z     return mod(*inputs)
2025-10-10T01:21:10.0710801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0711170Z     return self._forward_impl(x)
2025-10-10T01:21:10.0711550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-10-10T01:21:10.0711942Z     x = self.avgpool(x)
2025-10-10T01:21:10.0712050Z 
2025-10-10T01:21:10.0712158Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:10.0712533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:10.0712869Z     return mod(*inputs)
2025-10-10T01:21:10.0713216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:21:10.0713590Z     return self._forward_impl(x)
2025-10-10T01:21:10.0713965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl
2025-10-10T01:21:10.0714351Z     x = self.fc(x)
2025-10-10T01:21:10.0714452Z 
2025-10-10T01:21:22.0124786Z Compilation time (from dynamo_timed): 21.687333427
2025-10-10T01:21:22.0125119Z pass
2025-10-10T01:21:22.0125423Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:21:22.0126285Z TIMING: _recursive_pre_grad_passes:0.00455 _recursive_joint_graph_passes:0.21856 _recursive_post_grad_passes:0.04938 async_compile.wait:0.89989 code_gen:12.27906 inductor_compile:14.39232 backend_compile:18.91145 gc:0.00123 entire_frame_compile:21.68733 total_wall_time:21.68733
2025-10-10T01:21:22.0127583Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:3149 | FakeTensor.__torch_dispatch__:2339 | attempt fast:90 | fast is_contiguous:86 | slow both tensors nontrivially broadcast:4 | ProxyTorchDispatchMode.__torch_dispatch__:724
2025-10-10T01:21:22.0128577Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-10-10T01:21:24.5587133Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:21:26.9279776Z   import pynvml  # type: ignore[import]
2025-10-10T01:21:26.9279998Z 
2025-10-10T01:21:27.1317886Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:21:27.1318200Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:21:27.1318448Z cpu  eval  functorch_maml_omniglot            
2025-10-10T01:21:27.1360254Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:21:27.1406198Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:21:27.1442133Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:21:29.8888879Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:29.8889454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:29.8889844Z     return mod(*inputs)
2025-10-10T01:21:29.8890180Z 
2025-10-10T01:21:29.8890286Z cudagraph partition due to non gpu ops
2025-10-10T01:21:29.8890535Z cudagraph partition due to non gpu ops
2025-10-10T01:21:29.8890801Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:29.8891213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:29.8891583Z     return mod(*inputs)
2025-10-10T01:21:29.8891714Z 
2025-10-10T01:21:29.8891827Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:29.8892227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:29.8892591Z     return mod(*inputs)
2025-10-10T01:21:29.8892725Z 
2025-10-10T01:21:29.8892882Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:29.8893670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:29.8894040Z     return mod(*inputs)
2025-10-10T01:21:29.8894156Z 
2025-10-10T01:21:29.8894269Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:29.8894670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:29.8895036Z     return mod(*inputs)
2025-10-10T01:21:29.8895145Z 
2025-10-10T01:21:29.8895254Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:29.8895645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:29.8896017Z     return mod(*inputs)
2025-10-10T01:21:29.8896124Z 
2025-10-10T01:21:29.8896240Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:29.8896617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:29.8896968Z     return mod(*inputs)
2025-10-10T01:21:29.8897082Z 
2025-10-10T01:21:29.8897186Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:29.8897564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:29.8897918Z     return mod(*inputs)
2025-10-10T01:21:29.8898026Z 
2025-10-10T01:21:29.8898133Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:29.8898523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:29.8898868Z     return mod(*inputs)
2025-10-10T01:21:29.8898975Z 
2025-10-10T01:21:29.8899090Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:29.8899467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:29.8899822Z     return mod(*inputs)
2025-10-10T01:21:29.8899936Z 
2025-10-10T01:21:39.6571371Z Compilation time (from dynamo_timed): 11.517573427
2025-10-10T01:21:39.6572329Z pass
2025-10-10T01:21:39.6572774Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:21:39.6574002Z TIMING: _recursive_pre_grad_passes:0.00352 _recursive_joint_graph_passes:0.35072 _recursive_post_grad_passes:0.01966 async_compile.wait:0.79472 code_gen:9.76458 inductor_compile:9.92412 backend_compile:11.19064 gc:0.00028 entire_frame_compile:11.51757 total_wall_time:11.51757
2025-10-10T01:21:39.6575056Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:296 | FakeTensorMode.__torch_dispatch__:942 | ProxyTorchDispatchMode.__torch_dispatch__:155
2025-10-10T01:21:39.6577146Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-10-10T01:21:41.5043441Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:21:41.5044918Z   import pynvml  # type: ignore[import]
2025-10-10T01:21:43.8504708Z 
2025-10-10T01:21:44.0252557Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:21:44.0252881Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:21:44.0253398Z cpu  eval  lennard_jones                      
2025-10-10T01:21:44.0261430Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:21:44.0284342Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:21:44.0289458Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:21:46.5055472Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:46.5056111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:46.5062004Z     return mod(*inputs)
2025-10-10T01:21:46.5062227Z 
2025-10-10T01:21:46.5062387Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:46.5062850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:46.5063229Z     return mod(*inputs)
2025-10-10T01:21:46.5063405Z 
2025-10-10T01:21:46.5063529Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:46.5063928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:46.5064341Z     return mod(*inputs)
2025-10-10T01:21:46.5064460Z 
2025-10-10T01:21:46.5064571Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:46.5064963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:46.5065310Z     return mod(*inputs)
2025-10-10T01:21:46.5065418Z 
2025-10-10T01:21:46.5065535Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:46.5065951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:46.5066299Z     return mod(*inputs)
2025-10-10T01:21:46.5066415Z 
2025-10-10T01:21:46.5066525Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:46.5066925Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:46.5067286Z     return mod(*inputs)
2025-10-10T01:21:46.5067393Z 
2025-10-10T01:21:46.5067508Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:46.5067888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:46.5068234Z     return mod(*inputs)
2025-10-10T01:21:46.5068339Z 
2025-10-10T01:21:46.5068456Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:46.5068844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:46.5069544Z     return mod(*inputs)
2025-10-10T01:21:46.5069668Z 
2025-10-10T01:21:46.5069777Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:21:46.5070246Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:21:46.5070610Z     return mod(*inputs)
2025-10-10T01:21:46.5070713Z 
2025-10-10T01:21:55.4285198Z Compilation time (from dynamo_timed): 10.404937631
2025-10-10T01:21:55.4285526Z pass
2025-10-10T01:21:55.4285843Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:21:55.4287076Z TIMING: _recursive_pre_grad_passes:0.0034 _recursive_joint_graph_passes:0.36289 _recursive_post_grad_passes:0.01642 async_compile.wait:0.65133 code_gen:8.84311 inductor_compile:8.94239 backend_compile:10.14011 gc:0.00038 entire_frame_compile:10.40494 total_wall_time:10.40494
2025-10-10T01:21:55.4288183Z STATS: call_* op count: 9 | FakeTensor.__torch_dispatch__:102 | FakeTensorMode.__torch_dispatch__:624 | attempt fast:8 | fast is_contiguous:8 | ProxyTorchDispatchMode.__torch_dispatch__:91
2025-10-10T01:21:55.4288866Z Dynamo produced 1 graphs covering 9 ops with 0 graph breaks (0 unique)
2025-10-10T01:21:56.8845987Z accuracy            pass_rate=95.00%
2025-10-10T01:21:56.8847910Z calls_captured      gmean=0.00x mean=131.250x
2025-10-10T01:21:56.8854486Z unique_graphs       gmean=0.00x mean=1.500x
2025-10-10T01:21:56.8862781Z graph_breaks        gmean=0.00x mean=0.850x
2025-10-10T01:21:56.8863030Z unique_graph_breaks gmean=0.00x mean=0.300x
2025-10-10T01:21:56.8868757Z autograd_captures   gmean=0.00x mean=0.000x
2025-10-10T01:21:56.8869080Z autograd_compiles   gmean=0.00x mean=0.000x
2025-10-10T01:21:56.8873946Z cudagraph_skips     gmean=0.00x mean=1.500x
2025-10-10T01:21:56.8874211Z compilation_latency mean=19.618 seconds
2025-10-10T01:21:57.6604167Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_inductor_torchbench_inference.csv
2025-10-10T01:21:57.9817896Z BERT_pytorch                        PASS
2025-10-10T01:21:57.9818802Z Background_Matting                  XFAIL
2025-10-10T01:21:57.9825036Z LearningToPaint                     PASS
2025-10-10T01:21:57.9826271Z Super_SloMo                         PASS
2025-10-10T01:21:57.9835754Z alexnet                             PASS
2025-10-10T01:21:57.9838667Z basic_gnn_edgecnn                   PASS
2025-10-10T01:21:57.9838919Z basic_gnn_gcn                       PASS
2025-10-10T01:21:57.9842923Z basic_gnn_gin                       PASS
2025-10-10T01:21:57.9844545Z basic_gnn_sage                      PASS
2025-10-10T01:21:57.9848303Z dcgan                               PASS
2025-10-10T01:21:57.9848561Z demucs                              PASS
2025-10-10T01:21:57.9854269Z densenet121                         PASS
2025-10-10T01:21:57.9858599Z dlrm                                PASS
2025-10-10T01:21:57.9862878Z doctr_det_predictor                 PASS
2025-10-10T01:21:57.9871696Z doctr_reco_predictor                PASS
2025-10-10T01:21:57.9878571Z drq                                 PASS
2025-10-10T01:21:57.9879003Z fastNLP_Bert                        PASS
2025-10-10T01:21:57.9879321Z functorch_dp_cifar10                PASS
2025-10-10T01:21:57.9882444Z functorch_maml_omniglot             PASS
2025-10-10T01:21:57.9882673Z lennard_jones                       PASS
2025-10-10T01:21:58.0504938Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_inductor_torchbench_inference.csv
2025-10-10T01:21:58.3427798Z BERT_pytorch                        PASS
2025-10-10T01:21:58.3428342Z Background_Matting                  PASS
2025-10-10T01:21:58.3428639Z LearningToPaint                     PASS
2025-10-10T01:21:58.3433615Z Super_SloMo                         PASS
2025-10-10T01:21:58.3438888Z alexnet                             PASS
2025-10-10T01:21:58.3439207Z basic_gnn_edgecnn                   PASS
2025-10-10T01:21:58.3445404Z basic_gnn_gcn                       PASS
2025-10-10T01:21:58.3445847Z basic_gnn_gin                       PASS
2025-10-10T01:21:58.3449255Z basic_gnn_sage                      PASS
2025-10-10T01:21:58.3452615Z dcgan                               PASS
2025-10-10T01:21:58.3457802Z demucs                              PASS
2025-10-10T01:21:58.3460199Z densenet121                         PASS
2025-10-10T01:21:58.3464542Z dlrm                                PASS
2025-10-10T01:21:58.3468131Z doctr_det_predictor                 PASS
2025-10-10T01:21:58.3473128Z doctr_reco_predictor                PASS
2025-10-10T01:21:58.3475391Z drq                                 PASS
2025-10-10T01:21:58.3478591Z fastNLP_Bert                        PASS
2025-10-10T01:21:58.3482390Z functorch_dp_cifar10                PASS
2025-10-10T01:21:58.3484107Z functorch_maml_omniglot             PASS
2025-10-10T01:21:58.3489104Z lennard_jones                       PASS
2025-10-10T01:21:58.4086541Z + sccache_epilogue
2025-10-10T01:21:58.4086898Z + echo '::group::Sccache Compilation Log'
2025-10-10T01:21:58.4087448Z ##[group]Sccache Compilation Log
2025-10-10T01:21:58.4087707Z + echo '=================== sccache compilation log ==================='
2025-10-10T01:21:58.4088021Z =================== sccache compilation log ===================
2025-10-10T01:21:58.4088464Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-10-10T01:21:58.4320766Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-10-10T01:21:58.4321530Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-10-10T01:21:58.4321902Z + sccache --show-stats
2025-10-10T01:21:58.4361846Z Compile requests                    347
2025-10-10T01:21:58.4362152Z Compile requests executed             0
2025-10-10T01:21:58.4362396Z Cache hits                            0
2025-10-10T01:21:58.4362613Z Cache misses                          0
2025-10-10T01:21:58.4362850Z Cache hits rate                       -
2025-10-10T01:21:58.4363104Z Cache timeouts                        0
2025-10-10T01:21:58.4363328Z Cache read errors                     0
2025-10-10T01:21:58.4363543Z Forced recaches                       0
2025-10-10T01:21:58.4363752Z Cache write errors                    0
2025-10-10T01:21:58.4363960Z Cache errors                          0
2025-10-10T01:21:58.4364196Z Compilations                          0
2025-10-10T01:21:58.4364415Z Compilation failures                  0
2025-10-10T01:21:58.4364642Z Non-cacheable compilations            0
2025-10-10T01:21:58.4364870Z Non-cacheable calls                  19
2025-10-10T01:21:58.4365086Z Non-compilation calls               328
2025-10-10T01:21:58.4365305Z Unsupported compiler calls            0
2025-10-10T01:21:58.4365540Z Average cache write               0.000 s
2025-10-10T01:21:58.4365772Z Average compiler                  0.000 s
2025-10-10T01:21:58.4365990Z Average cache read hit            0.000 s
2025-10-10T01:21:58.4366219Z Failed distributed compilations       0
2025-10-10T01:21:58.4366369Z 
2025-10-10T01:21:58.4366452Z Non-cacheable reasons:
2025-10-10T01:21:58.4366646Z -E                                   19
2025-10-10T01:21:58.4366785Z 
2025-10-10T01:21:58.4366987Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-10-10T01:21:58.4367304Z Version (client)                0.10.0
2025-10-10T01:21:58.4367530Z + sccache --stop-server
2025-10-10T01:21:58.4382659Z Stopping sccache server...
2025-10-10T01:21:58.4387467Z Compile requests                    347
2025-10-10T01:21:58.4387692Z Compile requests executed             0
2025-10-10T01:21:58.4387919Z Cache hits                            0
2025-10-10T01:21:58.4388128Z Cache misses                          0
2025-10-10T01:21:58.4388687Z Cache hits rate                       -
2025-10-10T01:21:58.4388897Z Cache timeouts                        0
2025-10-10T01:21:58.4389162Z Cache read errors                     0
2025-10-10T01:21:58.4389374Z Forced recaches                       0
2025-10-10T01:21:58.4389585Z Cache write errors                    0
2025-10-10T01:21:58.4389783Z Cache errors                          0
2025-10-10T01:21:58.4390219Z Compilations                          0
2025-10-10T01:21:58.4390528Z Compilation failures                  0
2025-10-10T01:21:58.4390864Z Non-cacheable compilations            0
2025-10-10T01:21:58.4391115Z Non-cacheable calls                  19
2025-10-10T01:21:58.4391421Z Non-compilation calls               328
2025-10-10T01:21:58.4391638Z Unsupported compiler calls            0
2025-10-10T01:21:58.4391862Z Average cache write               0.000 s
2025-10-10T01:21:58.4392079Z Average compiler                  0.000 s
2025-10-10T01:21:58.4392303Z Average cache read hit            0.000 s
2025-10-10T01:21:58.4392535Z Failed distributed compilations       0
2025-10-10T01:21:58.4392687Z 
2025-10-10T01:21:58.4392767Z Non-cacheable reasons:
2025-10-10T01:21:58.4392958Z -E                                   19
2025-10-10T01:21:58.4393086Z 
2025-10-10T01:21:58.4393246Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-10-10T01:21:58.4393547Z Version (client)                0.10.0
2025-10-10T01:21:58.4393811Z + echo ::endgroup::
2025-10-10T01:21:58.4394394Z ##[endgroup]
2025-10-10T01:21:58.4394562Z + cleanup_workspace
2025-10-10T01:21:58.4394897Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-10-10T01:21:58.4395378Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-10-10T01:21:58.4395782Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-10-10T01:21:58.4396101Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-10-10T01:21:58.4396489Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-10-10T01:21:58.4396876Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-10-10T01:21:58.4397176Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-10-10T01:21:58.9058109Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-10-10T01:21:58.9058491Z with:
2025-10-10T01:21:58.9058723Z   benchmark-results-dir: test/test-reports
2025-10-10T01:21:58.9058998Z   dry-run: false
2025-10-10T01:21:58.9059207Z   schema-version: v3
2025-10-10T01:21:58.9059653Z   github-token: ***
2025-10-10T01:21:58.9059862Z env:
2025-10-10T01:21:58.9060048Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:21:58.9060425Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:21:58.9060818Z ##[endgroup]
2025-10-10T01:21:58.9090359Z ##[group]Run set -eux
2025-10-10T01:21:58.9090602Z set -eux
2025-10-10T01:21:58.9090770Z 
2025-10-10T01:21:58.9090946Z if [[ -n "" ]]; then
2025-10-10T01:21:58.9091152Z   source ""
2025-10-10T01:21:58.9091342Z fi
2025-10-10T01:21:58.9091595Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-10-10T01:21:58.9091936Z 
2025-10-10T01:21:58.9092103Z DEVICE_NAME=""
2025-10-10T01:21:58.9092292Z DEVICE_TYPE=""
2025-10-10T01:21:58.9092473Z 
2025-10-10T01:21:58.9092652Z if command -v nvidia-smi; then
2025-10-10T01:21:58.9092968Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-10-10T01:21:58.9093576Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-10-10T01:21:58.9093949Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-10-10T01:21:58.9094265Z   python3 -mpip install torch==2.7.1
2025-10-10T01:21:58.9094514Z elif command -v rocminfo; then
2025-10-10T01:21:58.9094823Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-10-10T01:21:58.9095274Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-10-10T01:21:58.9095655Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-10-10T01:21:58.9095988Z   # GPU device name coming from rocminfo instead
2025-10-10T01:21:58.9096239Z   DEVICE_NAME=rocm
2025-10-10T01:21:58.9096568Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-10-10T01:21:58.9096900Z fi
2025-10-10T01:21:58.9097111Z 
2025-10-10T01:21:58.9097313Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-10-10T01:21:58.9097595Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-10-10T01:21:58.9106666Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:21:58.9106952Z env:
2025-10-10T01:21:58.9107133Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:21:58.9107460Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:21:58.9107804Z ##[endgroup]
2025-10-10T01:21:58.9142392Z + [[ -n '' ]]
2025-10-10T01:21:58.9151440Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-10-10T01:21:59.1130357Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T01:21:59.9677379Z Collecting boto3==1.35.33
2025-10-10T01:21:59.9870103Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-10-10T01:22:00.2387336Z Collecting psutil==7.0.0
2025-10-10T01:22:00.2458580Z   Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB)
2025-10-10T01:22:00.2753164Z Collecting pynvml==12.0.0
2025-10-10T01:22:00.2793818Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-10-10T01:22:00.2874453Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0)
2025-10-10T01:22:01.1982766Z Collecting botocore<1.36.0,>=1.35.33
2025-10-10T01:22:01.2034043Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-10-10T01:22:01.3883514Z Collecting s3transfer<0.11.0,>=0.10.0
2025-10-10T01:22:01.3927833Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-10-10T01:22:01.4378684Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-10-10T01:22:01.4419314Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-10-10T01:22:01.4517050Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1)
2025-10-10T01:22:01.4527047Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10)
2025-10-10T01:22:01.6422132Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0)
2025-10-10T01:22:01.7573718Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-10-10T01:22:02.1479707Z   Attempting uninstall: nvidia-ml-py
2025-10-10T01:22:02.1483543Z     Found existing installation: nvidia-ml-py 11.525.84
2025-10-10T01:22:02.1493538Z     Uninstalling nvidia-ml-py-11.525.84:
2025-10-10T01:22:02.1632314Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-10-10T01:22:02.2230795Z   Attempting uninstall: psutil
2025-10-10T01:22:02.2231108Z     Found existing installation: psutil 5.9.8
2025-10-10T01:22:02.2282270Z     Uninstalling psutil-5.9.8:
2025-10-10T01:22:02.2289617Z       Successfully uninstalled psutil-5.9.8
2025-10-10T01:22:02.3811279Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4
2025-10-10T01:22:02.5160841Z + DEVICE_NAME=
2025-10-10T01:22:02.5161094Z + DEVICE_TYPE=
2025-10-10T01:22:02.5161292Z + command -v nvidia-smi
2025-10-10T01:22:02.5161488Z + command -v rocminfo
2025-10-10T01:22:02.5161684Z + echo DEVICE_NAME=
2025-10-10T01:22:02.5162171Z + echo DEVICE_TYPE=
2025-10-10T01:22:02.5196318Z ##[group]Run set -eux
2025-10-10T01:22:02.5196582Z set -eux
2025-10-10T01:22:02.5196765Z 
2025-10-10T01:22:02.5196957Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-10-10T01:22:02.5197241Z   echo "Missing github-token input"
2025-10-10T01:22:02.5197468Z   exit 1
2025-10-10T01:22:02.5197630Z fi
2025-10-10T01:22:02.5203786Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:02.5204138Z env:
2025-10-10T01:22:02.5204313Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:02.5204650Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:02.5205001Z   DEVICE_NAME: 
2025-10-10T01:22:02.5205174Z   DEVICE_TYPE: 
2025-10-10T01:22:02.5205567Z   GITHUB_TOKEN: ***
2025-10-10T01:22:02.5205741Z ##[endgroup]
2025-10-10T01:22:02.5230971Z + [[ -z *** ]]
2025-10-10T01:22:02.5281299Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-10-10T01:22:02.5281661Z with:
2025-10-10T01:22:02.5282037Z   github-token: ***
2025-10-10T01:22:02.5282240Z env:
2025-10-10T01:22:02.5282444Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:02.5282824Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:02.5283224Z   DEVICE_NAME: 
2025-10-10T01:22:02.5283426Z   DEVICE_TYPE: 
2025-10-10T01:22:02.5283622Z ##[endgroup]
2025-10-10T01:22:02.5313224Z ##[group]Run set -eux
2025-10-10T01:22:02.5313445Z set -eux
2025-10-10T01:22:02.5313629Z 
2025-10-10T01:22:02.5313961Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-10-10T01:22:02.5319444Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:02.5319706Z env:
2025-10-10T01:22:02.5319876Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:02.5320201Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:02.5320543Z   DEVICE_NAME: 
2025-10-10T01:22:02.5320716Z   DEVICE_TYPE: 
2025-10-10T01:22:02.5321036Z   GITHUB_TOKEN: ***
2025-10-10T01:22:02.5321360Z ##[endgroup]
2025-10-10T01:22:02.5348726Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 18392306145 i-0d064727453429bc6
2025-10-10T01:22:03.4516983Z setting job-id=52406535392
2025-10-10T01:22:03.4517519Z setting job-name=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T01:22:03.4628740Z ##[group]Run set -eux
2025-10-10T01:22:03.4628955Z set -eux
2025-10-10T01:22:03.4629117Z 
2025-10-10T01:22:03.4629274Z if [[ -n "" ]]; then
2025-10-10T01:22:03.4629472Z   source ""
2025-10-10T01:22:03.4629641Z fi
2025-10-10T01:22:03.4629793Z 
2025-10-10T01:22:03.4630058Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-10-10T01:22:03.4630411Z   --schema-version "${SCHEMA_VERSION}" \
2025-10-10T01:22:03.4630648Z   --repo "${REPO}" \
2025-10-10T01:22:03.4630870Z   --head-branch "${HEAD_BRANCH}" \
2025-10-10T01:22:03.4631090Z   --head-sha "${HEAD_SHA}" \
2025-10-10T01:22:03.4631318Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-10-10T01:22:03.4631557Z   --run-attempt "${RUN_ATTEMPT}" \
2025-10-10T01:22:03.4631776Z   --job-id "${JOB_ID}" \
2025-10-10T01:22:03.4631994Z   --job-name "${JOB_NAME}"
2025-10-10T01:22:03.4636949Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:03.4637211Z env:
2025-10-10T01:22:03.4637372Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:03.4637685Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:03.4638007Z   DEVICE_NAME: 
2025-10-10T01:22:03.4638176Z   DEVICE_TYPE: 
2025-10-10T01:22:03.4638342Z   SCHEMA_VERSION: v3
2025-10-10T01:22:03.4638602Z   REPO: pytorch/pytorch
2025-10-10T01:22:03.4638787Z   HEAD_BRANCH: refs/heads/main
2025-10-10T01:22:03.4639021Z   HEAD_SHA: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T01:22:03.4639256Z   WORKFLOW_RUN_ID: 18392306145
2025-10-10T01:22:03.4639448Z   RUN_ATTEMPT: 1
2025-10-10T01:22:03.4639606Z   JOB_ID: 52406535392
2025-10-10T01:22:03.4639918Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T01:22:03.4640250Z ##[endgroup]
2025-10-10T01:22:03.4663317Z + [[ -n '' ]]
2025-10-10T01:22:03.4664642Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 344e6365a0068c2d2847fcec0c55dd53291d475e --workflow-id 18392306145 --run-attempt 1 --job-id 52406535392 --job-name 'inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)'
2025-10-10T01:22:03.4959689Z ##[group]Run set -eux
2025-10-10T01:22:03.4959898Z set -eux
2025-10-10T01:22:03.4960047Z 
2025-10-10T01:22:03.4960218Z if [[ -n "" ]]; then
2025-10-10T01:22:03.4960404Z   source ""
2025-10-10T01:22:03.4960563Z fi
2025-10-10T01:22:03.4960700Z 
2025-10-10T01:22:03.4960960Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-10-10T01:22:03.4965535Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:03.4965784Z env:
2025-10-10T01:22:03.4965933Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:03.4966251Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:03.4966582Z   DEVICE_NAME: 
2025-10-10T01:22:03.4966747Z   DEVICE_TYPE: 
2025-10-10T01:22:03.4966904Z ##[endgroup]
2025-10-10T01:22:03.4988564Z + [[ -n '' ]]
2025-10-10T01:22:03.4989170Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-10-10T01:22:03.5337461Z INFO:root:Fail to import torch to get the device name
2025-10-10T01:22:03.5444639Z ##[group]Run set -eux
2025-10-10T01:22:03.5444853Z set -eux
2025-10-10T01:22:03.5445019Z 
2025-10-10T01:22:03.5445198Z # TODO (huydhn): Implement this part
2025-10-10T01:22:03.5445467Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-10-10T01:22:03.5450340Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:03.5450622Z env:
2025-10-10T01:22:03.5450789Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:03.5451110Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:03.5451448Z   DEVICE_NAME: 
2025-10-10T01:22:03.5451616Z   DEVICE_TYPE: 
2025-10-10T01:22:03.5451774Z ##[endgroup]
2025-10-10T01:22:03.5474820Z + echo 'dependencies={}'
2025-10-10T01:22:03.5526817Z ##[group]Run set -eux
2025-10-10T01:22:03.5527067Z set -eux
2025-10-10T01:22:03.5527239Z 
2025-10-10T01:22:03.5527406Z if [[ -n "" ]]; then
2025-10-10T01:22:03.5527611Z   source ""
2025-10-10T01:22:03.5527784Z fi
2025-10-10T01:22:03.5527943Z 
2025-10-10T01:22:03.5528142Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-10-10T01:22:03.5528450Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-10-10T01:22:03.5528784Z   # We don't want the job to fail if the directory doesn't exist
2025-10-10T01:22:03.5529060Z   exit 0
2025-10-10T01:22:03.5529225Z fi
2025-10-10T01:22:03.5529373Z 
2025-10-10T01:22:03.5529554Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-10-10T01:22:03.5529888Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-10-10T01:22:03.5530287Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-10-10T01:22:03.5530577Z     --metadata "${BENCHMARK_METADATA}" \
2025-10-10T01:22:03.5530895Z     --runners "${RUNNER_INFO}" \
2025-10-10T01:22:03.5531146Z     --dependencies "${DEPENDENCIES}" \
2025-10-10T01:22:03.5531378Z     --dry-run
2025-10-10T01:22:03.5531564Z else
2025-10-10T01:22:03.5531821Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-10-10T01:22:03.5532189Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-10-10T01:22:03.5532540Z     --metadata "${BENCHMARK_METADATA}" \
2025-10-10T01:22:03.5532785Z     --runners "${RUNNER_INFO}" \
2025-10-10T01:22:03.5533294Z     --dependencies "${DEPENDENCIES}"
2025-10-10T01:22:03.5533532Z fi
2025-10-10T01:22:03.5538512Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:03.5538773Z env:
2025-10-10T01:22:03.5538941Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:03.5539271Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:03.5539602Z   DEVICE_NAME: 
2025-10-10T01:22:03.5539768Z   DEVICE_TYPE: 
2025-10-10T01:22:03.5539965Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-10-10T01:22:03.5540187Z   DRY_RUN: false
2025-10-10T01:22:03.5541038Z   BENCHMARK_METADATA: {"timestamp": 1760059323, "schema_version": "v3", "name": "inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "344e6365a0068c2d2847fcec0c55dd53291d475e", "workflow_id": 18392306145, "run_attempt": 1, "job_id": 52406535392}
2025-10-10T01:22:03.5542128Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-48-91.ec2.internal"}, "name": "", "type": ""}]
2025-10-10T01:22:03.5542533Z   DEPENDENCIES: {}
2025-10-10T01:22:03.5542713Z ##[endgroup]
2025-10-10T01:22:03.5566562Z + [[ -n '' ]]
2025-10-10T01:22:03.5566801Z + [[ ! -d test/test-reports ]]
2025-10-10T01:22:03.5567362Z + [[ false == \t\r\u\e ]]
2025-10-10T01:22:03.5569514Z + 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": 1760059323, "schema_version": "v3", "name": "inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "344e6365a0068c2d2847fcec0c55dd53291d475e", "workflow_id": 18392306145, "run_attempt": 1, "job_id": 52406535392}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-48-91.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-10-10T01:22:03.6797914Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535392/inference_torchbench.json
2025-10-10T01:22:03.7069080Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-10-10T01:22:03.9302527Z ##[group]Run cat test/**/*_toprint.log || true
2025-10-10T01:22:03.9302812Z cat test/**/*_toprint.log || true
2025-10-10T01:22:03.9307536Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:03.9307796Z env:
2025-10-10T01:22:03.9307962Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:03.9308275Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:03.9308609Z   DEVICE_NAME: 
2025-10-10T01:22:03.9308773Z   DEVICE_TYPE: 
2025-10-10T01:22:03.9308937Z ##[endgroup]
2025-10-10T01:22:03.9388977Z cat: 'test/**/*_toprint.log': No such file or directory
2025-10-10T01:22:03.9424930Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-10-10T01:22:03.9425298Z kill "$MONITOR_SCRIPT_PID"
2025-10-10T01:22:03.9430024Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:03.9430366Z env:
2025-10-10T01:22:03.9430535Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:03.9430854Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:03.9431174Z   DEVICE_NAME: 
2025-10-10T01:22:03.9431346Z   DEVICE_TYPE: 
2025-10-10T01:22:03.9431518Z   MONITOR_SCRIPT_PID: 48493
2025-10-10T01:22:03.9431712Z ##[endgroup]
2025-10-10T01:22:03.9535871Z Prepare all required actions
2025-10-10T01:22:03.9536400Z Getting action download info
2025-10-10T01:22:04.1175266Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-10-10T01:22:04.3494042Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-10-10T01:22:04.7925860Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-10-10T01:22:04.7926128Z with:
2025-10-10T01:22:04.7926434Z   file-suffix: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392
2025-10-10T01:22:04.7926778Z   s3-bucket: gha-artifacts
2025-10-10T01:22:04.7926990Z env:
2025-10-10T01:22:04.7927152Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:04.7927480Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:04.7927817Z   DEVICE_NAME: 
2025-10-10T01:22:04.7928015Z   DEVICE_TYPE: 
2025-10-10T01:22:04.7928179Z ##[endgroup]
2025-10-10T01:22:04.7979272Z ##[group]Run # Remove any previous test jsons if they exist
2025-10-10T01:22:04.7979619Z # Remove any previous test jsons if they exist
2025-10-10T01:22:04.7979885Z rm -f test-jsons-*.zip
2025-10-10T01:22:04.7980188Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-10-10T01:22:04.7985159Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:04.7985429Z env:
2025-10-10T01:22:04.7985598Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:04.7985924Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:04.7986273Z   DEVICE_NAME: 
2025-10-10T01:22:04.7986444Z   DEVICE_TYPE: 
2025-10-10T01:22:04.7986737Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392
2025-10-10T01:22:04.7987054Z ##[endgroup]
2025-10-10T01:22:04.8146554Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-10-10T01:22:04.8176137Z ##[group]Run # Remove any previous test reports if they exist
2025-10-10T01:22:04.8176509Z # Remove any previous test reports if they exist
2025-10-10T01:22:04.8176792Z rm -f test-reports-*.zip
2025-10-10T01:22:04.8177116Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-10-10T01:22:04.8182090Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:04.8182354Z env:
2025-10-10T01:22:04.8182530Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:04.8182861Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:04.8183197Z   DEVICE_NAME: 
2025-10-10T01:22:04.8183380Z   DEVICE_TYPE: 
2025-10-10T01:22:04.8183675Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392
2025-10-10T01:22:04.8184007Z ##[endgroup]
2025-10-10T01:22:04.8249874Z   adding: test/test-reports/inference_torchbench.csv (deflated 55%)
2025-10-10T01:22:04.8250690Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 89%)
2025-10-10T01:22:04.8254024Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 73%)
2025-10-10T01:22:04.8279187Z ##[group]Run # Remove any previous usage logs if they exist
2025-10-10T01:22:04.8279516Z # Remove any previous usage logs if they exist
2025-10-10T01:22:04.8279773Z rm -f logs-*.zip
2025-10-10T01:22:04.8280021Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-10-10T01:22:04.8280350Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-10-10T01:22:04.8285358Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:04.8285703Z env:
2025-10-10T01:22:04.8285875Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:04.8286188Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:04.8286520Z   DEVICE_NAME: 
2025-10-10T01:22:04.8286692Z   DEVICE_TYPE: 
2025-10-10T01:22:04.8287124Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392
2025-10-10T01:22:04.8287466Z ##[endgroup]
2025-10-10T01:22:04.8361668Z   adding: usage_log.txt (deflated 97%)
2025-10-10T01:22:04.8369604Z 
2025-10-10T01:22:04.8370054Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392.zip)
2025-10-10T01:22:04.8398500Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-10-10T01:22:04.8398886Z # Remove any previous debugging artifacts if they exist
2025-10-10T01:22:04.8399173Z rm -f debug-*.zip
2025-10-10T01:22:04.8399385Z if [ -d 'test/debug' ]; then
2025-10-10T01:22:04.8399649Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-10-10T01:22:04.8399887Z fi
2025-10-10T01:22:04.8404502Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:04.8404764Z env:
2025-10-10T01:22:04.8404928Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:04.8405270Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:04.8405614Z   DEVICE_NAME: 
2025-10-10T01:22:04.8405786Z   DEVICE_TYPE: 
2025-10-10T01:22:04.8406079Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392
2025-10-10T01:22:04.8406402Z ##[endgroup]
2025-10-10T01:22:04.8480425Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T01:22:04.8480663Z with:
2025-10-10T01:22:04.8480840Z   s3-bucket: gha-artifacts
2025-10-10T01:22:04.8481081Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T01:22:04.8481330Z   retention-days: 14
2025-10-10T01:22:04.8481510Z   if-no-files-found: warn
2025-10-10T01:22:04.8481723Z   path: test-jsons-*.zip
2025-10-10T01:22:04.8481909Z   name: artifact
2025-10-10T01:22:04.8482082Z   region: us-east-1
2025-10-10T01:22:04.8482242Z env:
2025-10-10T01:22:04.8482403Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:04.8482743Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:04.8483077Z   DEVICE_NAME: 
2025-10-10T01:22:04.8483237Z   DEVICE_TYPE: 
2025-10-10T01:22:04.8483406Z ##[endgroup]
2025-10-10T01:22:05.1334249Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T01:22:05.1334628Z With the provided path, there will be 1 file uploaded
2025-10-10T01:22:05.1334980Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T01:22:05.1368452Z Starting upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392.zip
2025-10-10T01:22:05.2532652Z Finished upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392.zip
2025-10-10T01:22:05.2685999Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T01:22:05.2686245Z with:
2025-10-10T01:22:05.2686423Z   s3-bucket: gha-artifacts
2025-10-10T01:22:05.2686664Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T01:22:05.2686911Z   retention-days: 14
2025-10-10T01:22:05.2687092Z   if-no-files-found: error
2025-10-10T01:22:05.2687314Z   path: test-reports-*.zip
2025-10-10T01:22:05.2687501Z   name: artifact
2025-10-10T01:22:05.2687670Z   region: us-east-1
2025-10-10T01:22:05.2687840Z env:
2025-10-10T01:22:05.2687998Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:05.2688316Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:05.2688649Z   DEVICE_NAME: 
2025-10-10T01:22:05.2688811Z   DEVICE_TYPE: 
2025-10-10T01:22:05.2688974Z ##[endgroup]
2025-10-10T01:22:05.5594903Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T01:22:05.5595282Z With the provided path, there will be 1 file uploaded
2025-10-10T01:22:05.5595969Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T01:22:05.5626942Z Starting upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392.zip
2025-10-10T01:22:05.8539239Z Finished upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392.zip
2025-10-10T01:22:05.8698951Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T01:22:05.8699215Z with:
2025-10-10T01:22:05.8699399Z   s3-bucket: gha-artifacts
2025-10-10T01:22:05.8699708Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T01:22:05.8699971Z   retention-days: 14
2025-10-10T01:22:05.8700152Z   if-no-files-found: ignore
2025-10-10T01:22:05.8700350Z   path: logs-*.zip
2025-10-10T01:22:05.8700525Z   name: artifact
2025-10-10T01:22:05.8700698Z   region: us-east-1
2025-10-10T01:22:05.8700862Z env:
2025-10-10T01:22:05.8701025Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:05.8701353Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:05.8701701Z   DEVICE_NAME: 
2025-10-10T01:22:05.8701866Z   DEVICE_TYPE: 
2025-10-10T01:22:05.8702038Z ##[endgroup]
2025-10-10T01:22:06.1464148Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T01:22:06.1464528Z With the provided path, there will be 1 file uploaded
2025-10-10T01:22:06.1464890Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T01:22:06.1498201Z Starting upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392.zip
2025-10-10T01:22:06.2680714Z Finished upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392.zip
2025-10-10T01:22:06.2840608Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T01:22:06.2840873Z with:
2025-10-10T01:22:06.2841060Z   s3-bucket: gha-artifacts
2025-10-10T01:22:06.2841311Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T01:22:06.2841571Z   retention-days: 14
2025-10-10T01:22:06.2841760Z   if-no-files-found: ignore
2025-10-10T01:22:06.2841983Z   path: debug-*.zip
2025-10-10T01:22:06.2842161Z   name: artifact
2025-10-10T01:22:06.2842335Z   region: us-east-1
2025-10-10T01:22:06.2842506Z env:
2025-10-10T01:22:06.2842672Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:06.2843011Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:06.2843381Z   DEVICE_NAME: 
2025-10-10T01:22:06.2843551Z   DEVICE_TYPE: 
2025-10-10T01:22:06.2843722Z ##[endgroup]
2025-10-10T01:22:06.5492302Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-10-10T01:22:06.5718173Z ##[group]Run # shellcheck disable=SC2156
2025-10-10T01:22:06.5719409Z # shellcheck disable=SC2156
2025-10-10T01:22:06.5719815Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-10-10T01:22:06.5725483Z shell: /usr/bin/bash -e {0}
2025-10-10T01:22:06.5725690Z env:
2025-10-10T01:22:06.5725866Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:06.5726207Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:06.5726553Z   DEVICE_NAME: 
2025-10-10T01:22:06.5726722Z   DEVICE_TYPE: 
2025-10-10T01:22:06.5726892Z ##[endgroup]
2025-10-10T01:22:06.7675762Z Prepare all required actions
2025-10-10T01:22:06.7676098Z Getting action download info
2025-10-10T01:22:06.9047798Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-10-10T01:22:06.9048069Z with:
2025-10-10T01:22:06.9048253Z   job_id: 52406535392
2025-10-10T01:22:06.9048573Z   job_name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T01:22:06.9048921Z   workflow_name: inductor
2025-10-10T01:22:06.9049112Z   workflow_run_id: 18392306145
2025-10-10T01:22:06.9049307Z   workflow_attempt: 1
2025-10-10T01:22:06.9049481Z env:
2025-10-10T01:22:06.9049635Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:06.9049956Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:06.9050359Z   DEVICE_NAME: 
2025-10-10T01:22:06.9050529Z   DEVICE_TYPE: 
2025-10-10T01:22:06.9050721Z ##[endgroup]
2025-10-10T01:22:06.9073657Z ##[group]Run echo "workflow_id: 18392306145"
2025-10-10T01:22:06.9073987Z echo "workflow_id: 18392306145"
2025-10-10T01:22:06.9074228Z echo "workflow_attempt: 1"
2025-10-10T01:22:06.9074448Z echo "workflow_Name: inductor"
2025-10-10T01:22:06.9074670Z echo "job_id: 52406535392"
2025-10-10T01:22:06.9075114Z echo "job_name:  inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)"
2025-10-10T01:22:06.9075490Z echo "artifact_prefix: "
2025-10-10T01:22:06.9075705Z python3 --version
2025-10-10T01:22:06.9080634Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:06.9080910Z env:
2025-10-10T01:22:06.9081081Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:06.9081403Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:06.9081755Z   DEVICE_NAME: 
2025-10-10T01:22:06.9081932Z   DEVICE_TYPE: 
2025-10-10T01:22:06.9082105Z ##[endgroup]
2025-10-10T01:22:06.9106378Z workflow_id: 18392306145
2025-10-10T01:22:06.9106639Z workflow_attempt: 1
2025-10-10T01:22:06.9106818Z workflow_Name: inductor
2025-10-10T01:22:06.9107004Z job_id: 52406535392
2025-10-10T01:22:06.9107334Z job_name:  inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T01:22:06.9107673Z artifact_prefix: 
2025-10-10T01:22:06.9117741Z Python 3.9.23
2025-10-10T01:22:06.9159084Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T01:22:06.9159321Z with:
2025-10-10T01:22:06.9159480Z   shell: bash
2025-10-10T01:22:06.9159650Z   timeout_minutes: 5
2025-10-10T01:22:06.9159830Z   max_attempts: 5
2025-10-10T01:22:06.9160011Z   retry_wait_seconds: 30
2025-10-10T01:22:06.9160380Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-10-10T01:22:06.9160800Z   polling_interval_seconds: 1
2025-10-10T01:22:06.9161002Z   warning_on_retry: true
2025-10-10T01:22:06.9161193Z   continue_on_error: false
2025-10-10T01:22:06.9161388Z env:
2025-10-10T01:22:06.9161568Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:06.9161886Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:06.9162228Z   DEVICE_NAME: 
2025-10-10T01:22:06.9162395Z   DEVICE_TYPE: 
2025-10-10T01:22:06.9162552Z ##[endgroup]
2025-10-10T01:22:07.1985990Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T01:22:07.2664141Z Collecting python-dateutil==2.8.2
2025-10-10T01:22:07.2822191Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-10-10T01:22:08.0359318Z Collecting boto3==1.35.42
2025-10-10T01:22:08.0407171Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-10-10T01:22:08.4588550Z Collecting pandas==2.1.3
2025-10-10T01:22:08.4631886Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-10-10T01:22:08.5720449Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-10-10T01:22:08.5734433Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-10-10T01:22:08.5772116Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4)
2025-10-10T01:22:08.5774418Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0)
2025-10-10T01:22:08.5779120Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99)
2025-10-10T01:22:08.6522061Z Collecting tzdata>=2022.1
2025-10-10T01:22:08.6556621Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-10-10T01:22:09.3171814Z Collecting numpy<2,>=1.22.4
2025-10-10T01:22:09.3237852Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-10-10T01:22:09.4845939Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-10-10T01:22:09.4878585Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-10-10T01:22:09.4879529Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-10-10T01:22:09.4945458Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10)
2025-10-10T01:22:09.5018892Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0)
2025-10-10T01:22:09.5111706Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0)
2025-10-10T01:22:09.5113008Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-10-10T01:22:09.6763335Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-10-10T01:22:13.9751646Z   Attempting uninstall: boto3
2025-10-10T01:22:13.9751984Z     Found existing installation: boto3 1.35.33
2025-10-10T01:22:13.9828623Z     Uninstalling boto3-1.35.33:
2025-10-10T01:22:13.9840748Z       Successfully uninstalled boto3-1.35.33
2025-10-10T01:22:14.0309240Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-10-10T01:22:14.9899921Z Command completed after 1 attempt(s).
2025-10-10T01:22:14.9965784Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-10-10T01:22:14.9966262Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-10-10T01:22:14.9966600Z   --workflow-run-id "18392306145" \
2025-10-10T01:22:14.9966855Z   --workflow-name "inductor" \
2025-10-10T01:22:14.9967091Z   --workflow-run-attempt "1" \
2025-10-10T01:22:14.9967312Z   --job-id "52406535392" \
2025-10-10T01:22:14.9967664Z   --job-name "inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" \
2025-10-10T01:22:14.9968031Z   --local-path "" \
2025-10-10T01:22:14.9968241Z   --artifact-prefix ""
2025-10-10T01:22:14.9975839Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:14.9976104Z env:
2025-10-10T01:22:14.9976275Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:14.9976602Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:14.9976946Z   DEVICE_NAME: 
2025-10-10T01:22:14.9977120Z   DEVICE_TYPE: 
2025-10-10T01:22:14.9977278Z ##[endgroup]
2025-10-10T01:22:16.0427916Z repo: pytorch/pytorch
2025-10-10T01:22:16.0429073Z Search for test log in s3 bucket: ossci-utilization
2025-10-10T01:22:16.0430149Z Downloading logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392.zip
2025-10-10T01:22:16.0430808Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535392.zip
2025-10-10T01:22:16.0431302Z Converted Log Model: UtilizationMetadata:
2025-10-10T01:22:16.0432213Z  UtilizationMetadata(level='metadata', workflow_id='18392306145', job_id='52406535392', workflow_name='inductor', job_name='inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1760057171, gpu_count=0, cpu_count=32, gpu_type=None, error=None)
2025-10-10T01:22:16.0433237Z [Db Segments] detected pytest cmd: 10, generated segments: 10
2025-10-10T01:22:16.0433968Z [db model] Peek db timeseries 
2025-10-10T01:22:16.0434176Z :{
2025-10-10T01:22:16.0434343Z     "created_at": 1760059335,
2025-10-10T01:22:16.0434557Z     "type": "utilization",
2025-10-10T01:22:16.0434776Z     "tags": [
2025-10-10T01:22:16.0434943Z         "record"
2025-10-10T01:22:16.0435110Z     ],
2025-10-10T01:22:16.0435275Z     "time_stamp": 1760057171,
2025-10-10T01:22:16.0435473Z     "repo": "pytorch/pytorch",
2025-10-10T01:22:16.0435762Z     "workflow_id": 18392306145,
2025-10-10T01:22:16.0435974Z     "run_attempt": 1,
2025-10-10T01:22:16.0436162Z     "job_id": 52406535392,
2025-10-10T01:22:16.0436354Z     "workflow_name": "inductor",
2025-10-10T01:22:16.0436708Z     "job_name": "inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)",
2025-10-10T01:22:16.0437074Z     "json_data": "{}"
2025-10-10T01:22:16.0437265Z }
2025-10-10T01:22:16.0437710Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/18392306145/1/52406535392/metadata
2025-10-10T01:22:16.0438453Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/18392306145/1/52406535392/metadata 
2025-10-10T01:22:16.0439040Z Writing 428 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/18392306145/1/52406535392/time_series
2025-10-10T01:22:16.0439638Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/18392306145/1/52406535392/time_series 
2025-10-10T01:22:16.1724146Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-10-10T01:22:16.1724452Z with:
2025-10-10T01:22:16.1724615Z env:
2025-10-10T01:22:16.1724774Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:16.1725116Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:16.1725461Z   DEVICE_NAME: 
2025-10-10T01:22:16.1725643Z   DEVICE_TYPE: 
2025-10-10T01:22:16.1725803Z ##[endgroup]
2025-10-10T01:22:16.1743068Z ##[group]Run set -eou pipefail
2025-10-10T01:22:16.1743495Z set -eou pipefail
2025-10-10T01:22:16.1743698Z 
2025-10-10T01:22:16.1743965Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-10-10T01:22:16.1744276Z for _ in $(seq 1440); do
2025-10-10T01:22:16.1744523Z     # Break if no ssh session exists anymore
2025-10-10T01:22:16.1744771Z     if [ "$(who)" = "" ]; then
2025-10-10T01:22:16.1744985Z       break
2025-10-10T01:22:16.1745206Z     fi
2025-10-10T01:22:16.1745381Z     echo "."
2025-10-10T01:22:16.1745554Z     sleep 5
2025-10-10T01:22:16.1745730Z done
2025-10-10T01:22:16.1751058Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:16.1751317Z env:
2025-10-10T01:22:16.1751478Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:16.1751798Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:16.1752132Z   DEVICE_NAME: 
2025-10-10T01:22:16.1752295Z   DEVICE_TYPE: 
2025-10-10T01:22:16.1752448Z ##[endgroup]
2025-10-10T01:22:16.1774596Z Holding runner for 2 hours until all ssh sessions have logged out
2025-10-10T01:22:16.1852851Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T01:22:16.1853708Z # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T01:22:16.1854015Z # shellcheck disable=SC2046
2025-10-10T01:22:16.1854271Z docker stop $(docker ps -q) || true
2025-10-10T01:22:16.1854518Z # Prune all of the docker images
2025-10-10T01:22:16.1854752Z docker system prune -af
2025-10-10T01:22:16.1859570Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:16.1859828Z env:
2025-10-10T01:22:16.1859988Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:22:16.1860306Z   DOCKER_CONTAINER_ID: 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:16.1860717Z   DEVICE_NAME: 
2025-10-10T01:22:16.1860891Z   DEVICE_TYPE: 
2025-10-10T01:22:16.1861057Z ##[endgroup]
2025-10-10T01:22:27.0271035Z 56c2cc13e7e7
2025-10-10T01:22:27.4294351Z Deleted Containers:
2025-10-10T01:22:27.4297461Z 56c2cc13e7e7f30b7609502b4cef7d4d411f952c5277048c8c3dd486849227c8
2025-10-10T01:22:27.4297706Z 
2025-10-10T01:22:35.1437143Z Deleted Images:
2025-10-10T01:22:35.1439769Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T01:22:35.1441041Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:2e6e7297c9105722429dc16c6731f2c79bd9d6b81eb7a39feebebd90cfe1676f
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2025-10-10T01:22:35.1474016Z 
2025-10-10T01:22:35.1474123Z Total reclaimed space: 54.52GB
2025-10-10T01:22:35.1553266Z Post job cleanup.
2025-10-10T01:22:35.1599860Z Post job cleanup.
2025-10-10T01:22:35.2492913Z [command]/usr/bin/git version
2025-10-10T01:22:35.2530830Z git version 2.50.1
2025-10-10T01:22:35.2560695Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/09a32fcd-1a17-425e-9956-88cfccce348c/.gitconfig'
2025-10-10T01:22:35.2572944Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/09a32fcd-1a17-425e-9956-88cfccce348c' before making global git config changes
2025-10-10T01:22:35.2573723Z Adding repository directory to the temporary git global config as a safe directory
2025-10-10T01:22:35.2578441Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T01:22:35.2620594Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-10-10T01:22:35.2662884Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-10-10T01:22:35.2988510Z Entering 'android/libs/fbjni'
2025-10-10T01:22:35.3044014Z Entering 'third_party/FP16'
2025-10-10T01:22:35.3096533Z Entering 'third_party/FXdiv'
2025-10-10T01:22:35.3152633Z Entering 'third_party/NNPACK'
2025-10-10T01:22:35.3206284Z Entering 'third_party/NVTX'
2025-10-10T01:22:35.3264959Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T01:22:35.3324909Z Entering 'third_party/XNNPACK'
2025-10-10T01:22:35.3402120Z Entering 'third_party/aiter'
2025-10-10T01:22:35.3455355Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T01:22:35.3520103Z Entering 'third_party/benchmark'
2025-10-10T01:22:35.3576405Z Entering 'third_party/composable_kernel'
2025-10-10T01:22:35.3648279Z Entering 'third_party/cpp-httplib'
2025-10-10T01:22:35.3702742Z Entering 'third_party/cpuinfo'
2025-10-10T01:22:35.3762139Z Entering 'third_party/cudnn_frontend'
2025-10-10T01:22:35.3821926Z Entering 'third_party/cutlass'
2025-10-10T01:22:35.3882654Z Entering 'third_party/fbgemm'
2025-10-10T01:22:35.3945639Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T01:22:35.3995368Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T01:22:35.4059972Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T01:22:35.4116346Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T01:22:35.4183273Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T01:22:35.4241611Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T01:22:35.4299925Z Entering 'third_party/fbgemm/external/json'
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2025-10-10T01:22:35.7755918Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-10-10T01:22:36.4409249Z A job completed hook has been configured by the self-hosted runner administrator
2025-10-10T01:22:36.4436831Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-10-10T01:22:36.4440475Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:22:36.4440753Z ##[endgroup]
2025-10-10T01:22:36.4522812Z [!ALERT!] Swap in detected! [!ALERT!]
2025-10-10T01:22:46.1189540Z [!ALERT!] Swap out detected [!ALERT!]
2025-10-10T01:23:02.4227352Z Cleaning up orphan processes