2025-11-03T16:14:21.7421715Z Current runner version: '2.329.0'
2025-11-03T16:14:21.7427205Z Runner name: 'i-0ae44a326bd5f2c5d'
2025-11-03T16:14:21.7427970Z Runner group name: 'default'
2025-11-03T16:14:21.7428836Z Machine name: 'ip-10-0-40-157'
2025-11-03T16:14:21.7431257Z ##[group]GITHUB_TOKEN Permissions
2025-11-03T16:14:21.7433563Z Contents: read
2025-11-03T16:14:21.7434061Z Metadata: read
2025-11-03T16:14:21.7434658Z ##[endgroup]
2025-11-03T16:14:21.7436582Z Secret source: Actions
2025-11-03T16:14:21.7437171Z Prepare workflow directory
2025-11-03T16:14:21.7878091Z Prepare all required actions
2025-11-03T16:14:21.7912927Z Getting action download info
2025-11-03T16:14:22.1292943Z Download action repository 'pytorch/test-infra@main' (SHA:dd72a20e27a9820d8aba7291a7d9c1e023f652e1)
2025-11-03T16:14:24.2205785Z Download action repository 'pytorch/pytorch@main' (SHA:94f2657c4b534136aa8958bc35d44ceac5ccd60c)
2025-11-03T16:14:39.1011789Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-11-03T16:14:39.4747979Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-11-03T16:14:39.7128614Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-11-03T16:14:39.8948811Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-11-03T16:14:40.1347092Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-11-03T16:14:40.5068796Z Getting action download info
2025-11-03T16:14:40.6657711Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-11-03T16:14:40.9465991Z Getting action download info
2025-11-03T16:14:41.0747886Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-11-03T16:14:41.2694434Z Getting action download info
2025-11-03T16:14:41.3836120Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-11-03T16:14:41.5911629Z Getting action download info
2025-11-03T16:14:41.7670294Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (3f6538febd727b782e6e13cfd026a309fb14351d)
2025-11-03T16:14:41.7673999Z ##[group] Inputs
2025-11-03T16:14:41.7674401Z   build-environment: linux-jammy-py3.10-gcc11-build
2025-11-03T16:14:41.7676416Z   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"}]}
2025-11-03T16:14:41.7678772Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:14:41.7679449Z   sync-tag: 
2025-11-03T16:14:41.7680268Z   timeout-minutes: 240
2025-11-03T16:14:41.7680562Z   use-gha: 
2025-11-03T16:14:41.7680811Z   dashboard-tag: 
2025-11-03T16:14:41.7681095Z   s3-bucket: gha-artifacts
2025-11-03T16:14:41.7681804Z   aws-role-to-assume: 
2025-11-03T16:14:41.7682406Z   disable-monitor: false
2025-11-03T16:14:41.7682777Z   monitor-log-interval: 5
2025-11-03T16:14:41.7683070Z   monitor-data-collect-interval: 1
2025-11-03T16:14:41.7683384Z ##[endgroup]
2025-11-03T16:14:41.7683899Z Complete job name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:14:41.8219612Z A job started hook has been configured by the self-hosted runner administrator
2025-11-03T16:14:41.8306044Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-11-03T16:14:41.8314287Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:14:41.8314840Z ##[endgroup]
2025-11-03T16:14:42.9075357Z Runner Type: linux.8xlarge.amx
2025-11-03T16:14:42.9075847Z Instance Type: m7i-flex.8xlarge
2025-11-03T16:14:42.9076079Z AMI Name: unknown
2025-11-03T16:14:42.9099580Z AMI ID: ami-08982f1c5bf93d976
2025-11-03T16:14:47.5719022Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-11-03T16:14:47.5719362Z with:
2025-11-03T16:14:47.5719977Z   github-secret: ***
2025-11-03T16:14:47.5720474Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-11-03T16:14:47.5720981Z   activate-with-label: false
2025-11-03T16:14:47.5721196Z   label: with-ssh
2025-11-03T16:14:47.5721391Z   remove-existing-keys: true
2025-11-03T16:14:47.5721587Z   fail-silently: true
2025-11-03T16:14:47.5721787Z env:
2025-11-03T16:14:47.5721959Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:47.5722170Z ##[endgroup]
2025-11-03T16:14:47.6765670Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-11-03T16:14:47.6766372Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-11-03T16:14:47.6908323Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-11-03T16:14:47.6908730Z with:
2025-11-03T16:14:47.6909052Z   no-sudo: true
2025-11-03T16:14:47.6909317Z   submodules: recursive
2025-11-03T16:14:47.6909603Z   fetch-depth: 0
2025-11-03T16:14:47.6909900Z env:
2025-11-03T16:14:47.6910149Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:47.6910409Z ##[endgroup]
2025-11-03T16:14:47.6993406Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:14:47.6994224Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:14:47.7003319Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:14:47.7003681Z env:
2025-11-03T16:14:47.7003965Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:47.7004290Z ##[endgroup]
2025-11-03T16:14:47.7095598Z ##[group]Run # Use all available CPUs for fetching
2025-11-03T16:14:47.7096054Z # Use all available CPUs for fetching
2025-11-03T16:14:47.7096466Z cd "${GITHUB_WORKSPACE}"
2025-11-03T16:14:47.7096809Z git config --global fetch.parallel 0
2025-11-03T16:14:47.7097186Z git config --global submodule.fetchJobs 0
2025-11-03T16:14:47.7097473Z 
2025-11-03T16:14:47.7097860Z # Clean workspace. The default checkout action should also do this, but
2025-11-03T16:14:47.7098254Z # do it here as well just in case
2025-11-03T16:14:47.7098545Z if [[ -d .git ]]; then
2025-11-03T16:14:47.7098851Z   if [ -z "${NO_SUDO}" ]; then
2025-11-03T16:14:47.7099151Z     sudo git clean -ffdx
2025-11-03T16:14:47.7099417Z   else
2025-11-03T16:14:47.7099711Z     git clean -ffdx
2025-11-03T16:14:47.7099948Z   fi
2025-11-03T16:14:47.7100260Z fi
2025-11-03T16:14:47.7105489Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:14:47.7105891Z env:
2025-11-03T16:14:47.7106274Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:47.7106550Z   NO_SUDO: true
2025-11-03T16:14:47.7106798Z ##[endgroup]
2025-11-03T16:14:47.7221085Z ##[group]Run actions/checkout@v4
2025-11-03T16:14:47.7221341Z with:
2025-11-03T16:14:47.7221554Z   ref: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:14:47.7221800Z   fetch-depth: 0
2025-11-03T16:14:47.7222002Z   submodules: recursive
2025-11-03T16:14:47.7222213Z   show-progress: false
2025-11-03T16:14:47.7222424Z   repository: pytorch/pytorch
2025-11-03T16:14:47.7222756Z   token: ***
2025-11-03T16:14:47.7222945Z   ssh-strict: true
2025-11-03T16:14:47.7223129Z   ssh-user: git
2025-11-03T16:14:47.7223323Z   persist-credentials: true
2025-11-03T16:14:47.7223527Z   clean: true
2025-11-03T16:14:47.7223748Z   sparse-checkout-cone-mode: true
2025-11-03T16:14:47.7223984Z   fetch-tags: false
2025-11-03T16:14:47.7224171Z   lfs: false
2025-11-03T16:14:47.7224349Z   set-safe-directory: true
2025-11-03T16:14:47.7224576Z env:
2025-11-03T16:14:47.7225200Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:47.7225412Z ##[endgroup]
2025-11-03T16:14:47.8233301Z Syncing repository: pytorch/pytorch
2025-11-03T16:14:47.8234572Z ##[group]Getting Git version info
2025-11-03T16:14:47.8234944Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-11-03T16:14:47.8235436Z [command]/usr/bin/git version
2025-11-03T16:14:47.8235658Z git version 2.50.1
2025-11-03T16:14:47.8238646Z ##[endgroup]
2025-11-03T16:14:47.8250142Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/afc4cfcf-b505-4003-93fd-cc33f4df4207/.gitconfig'
2025-11-03T16:14:47.8273932Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/afc4cfcf-b505-4003-93fd-cc33f4df4207' before making global git config changes
2025-11-03T16:14:47.8274678Z Adding repository directory to the temporary git global config as a safe directory
2025-11-03T16:14:47.8283986Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:14:47.8328890Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-11-03T16:14:47.8335993Z ##[group]Initializing the repository
2025-11-03T16:14:47.8337873Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:14:47.8367643Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-11-03T16:14:47.8368193Z hint: is subject to change. To configure the initial branch name to use in all
2025-11-03T16:14:47.8368637Z hint: of your new repositories, which will suppress this warning, call:
2025-11-03T16:14:47.8368937Z hint:
2025-11-03T16:14:47.8369180Z hint: 	git config --global init.defaultBranch <name>
2025-11-03T16:14:47.8369435Z hint:
2025-11-03T16:14:47.8369697Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-11-03T16:14:47.8370112Z hint: 'development'. The just-created branch can be renamed via this command:
2025-11-03T16:14:47.8370409Z hint:
2025-11-03T16:14:47.8370593Z hint: 	git branch -m <name>
2025-11-03T16:14:47.8370800Z hint:
2025-11-03T16:14:47.8371067Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-11-03T16:14:47.8371542Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-11-03T16:14:47.8378153Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-11-03T16:14:47.8406679Z ##[endgroup]
2025-11-03T16:14:47.8407102Z ##[group]Disabling automatic garbage collection
2025-11-03T16:14:47.8408925Z [command]/usr/bin/git config --local gc.auto 0
2025-11-03T16:14:47.8433956Z ##[endgroup]
2025-11-03T16:14:47.8434316Z ##[group]Setting up auth
2025-11-03T16:14:47.8441147Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-11-03T16:14:47.8468452Z [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' || :"
2025-11-03T16:14:47.8788491Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-11-03T16:14:47.8818571Z [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' || :"
2025-11-03T16:14:47.9108350Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-11-03T16:14:47.9157759Z ##[endgroup]
2025-11-03T16:14:47.9158378Z ##[group]Fetching the repository
2025-11-03T16:14:47.9164328Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-11-03T16:15:36.2667599Z From https://github.com/pytorch/pytorch
2025-11-03T16:15:36.2668070Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-11-03T16:15:36.2668943Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-11-03T16:15:36.2669395Z  * [new branch]              DyVariaSourceRepr           -> origin/DyVariaSourceRepr
2025-11-03T16:15:36.2669945Z  * [new branch]              DynamoFixGit                -> origin/DynamoFixGit
2025-11-03T16:15:36.2670455Z  * [new branch]              DynamoVariaT                -> origin/DynamoVariaT
2025-11-03T16:15:36.2671056Z  * [new branch]              Flamefire-misplaced-TestFailure -> origin/Flamefire-misplaced-TestFailure
2025-11-03T16:15:36.2675169Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-11-03T16:15:36.2680248Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-11-03T16:15:36.2681510Z  * [new branch]              IvanKobzarev/stack/2        -> origin/IvanKobzarev/stack/2
2025-11-03T16:15:36.2682743Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-11-03T16:15:36.2683287Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-11-03T16:15:36.2683755Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-11-03T16:15:36.2684170Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-11-03T16:15:36.2684571Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-11-03T16:15:36.2684949Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-11-03T16:15:36.2685343Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-11-03T16:15:36.2685760Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-11-03T16:15:36.2686068Z  * [new branch]              VariaT                      -> origin/VariaT
2025-11-03T16:15:36.2686732Z  * [new branch]              add-pyrefly-to-lintrunner   -> origin/add-pyrefly-to-lintrunner
2025-11-03T16:15:36.2687105Z  * [new branch]              add_conv3d_ops              -> origin/add_conv3d_ops
2025-11-03T16:15:36.2687446Z  * [new branch]              add_op_to_dashboard         -> origin/add_op_to_dashboard
2025-11-03T16:15:36.2687788Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-11-03T16:15:36.2688127Z  * [new branch]              addmm10000rtx               -> origin/addmm10000rtx
2025-11-03T16:15:36.2688468Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-11-03T16:15:36.2688799Z  * [new branch]              adi/test                    -> origin/adi/test
2025-11-03T16:15:36.2689111Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-11-03T16:15:36.2689433Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-11-03T16:15:36.2689804Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-11-03T16:15:36.2690259Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-11-03T16:15:36.2690755Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-11-03T16:15:36.2691106Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-11-03T16:15:36.2691457Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-11-03T16:15:36.2691861Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-11-03T16:15:36.2692255Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-11-03T16:15:36.2692634Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-11-03T16:15:36.2692999Z  * [new branch]              angelayi/allow_fake         -> origin/angelayi/allow_fake
2025-11-03T16:15:36.2693443Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-11-03T16:15:36.2693887Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-11-03T16:15:36.2694563Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-11-03T16:15:36.2695051Z  * [new branch]              angelayi/const_folder       -> origin/angelayi/const_folder
2025-11-03T16:15:36.2695436Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-11-03T16:15:36.2695964Z  * [new branch]              angelayi/joint_kwargs       -> origin/angelayi/joint_kwargs
2025-11-03T16:15:36.2696396Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-11-03T16:15:36.2699370Z  * [new branch]              angelayi/opaque_obj_v2      -> origin/angelayi/opaque_obj_v2
2025-11-03T16:15:36.2700152Z  * [new branch]              angelayi/post_grad          -> origin/angelayi/post_grad
2025-11-03T16:15:36.2700536Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-11-03T16:15:36.2700919Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-11-03T16:15:36.2701342Z  * [new branch]              angelayi/state_dict         -> origin/angelayi/state_dict
2025-11-03T16:15:36.2701784Z  * [new branch]              angelayi/static_input_indices -> origin/angelayi/static_input_indices
2025-11-03T16:15:36.2703078Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
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2025-11-03T16:15:36.6800083Z  * [new branch]              yiming/precompile_benchmark -> origin/yiming/precompile_benchmark
2025-11-03T16:15:36.6800427Z  * [new branch]              yiming/remove_blockmask_pytree_global_registration -> origin/yiming/remove_blockmask_pytree_global_registration
2025-11-03T16:15:36.6800623Z  * [new branch]              yolo-llama3                 -> origin/yolo-llama3
2025-11-03T16:15:36.6800970Z  * [new branch]              yuxin/fix-save-memleak      -> origin/yuxin/fix-save-memleak
2025-11-03T16:15:36.6802822Z  * [new branch]              zainr/canary-test           -> origin/zainr/canary-test
2025-11-03T16:15:36.6803052Z  * [new branch]              zainr/cleanup-gh-runners    -> origin/zainr/cleanup-gh-runners
2025-11-03T16:15:36.6805192Z  * [new branch]              zainr/pull-migration-c      -> origin/zainr/pull-migration-c
2025-11-03T16:15:36.6805391Z  * [new branch]              zainr/test2                 -> origin/zainr/test2
2025-11-03T16:15:36.6805546Z  * [new branch]              zainr/unstable              -> origin/zainr/unstable
2025-11-03T16:15:36.6805981Z  * [new branch]              zasdfgbnm-patch-3           -> origin/zasdfgbnm-patch-3
2025-11-03T16:15:36.6806816Z  * [new branch]              zb2p                        -> origin/zb2p
2025-11-03T16:15:36.6807715Z  * [new branch]              zeros-and-scatter-part2     -> origin/zeros-and-scatter-part2
2025-11-03T16:15:36.6811872Z  * [new branch]              zhxchen17/aot_compile_fix_load_guard_manager -> origin/zhxchen17/aot_compile_fix_load_guard_manager
2025-11-03T16:15:36.6812070Z  * [new branch]              zhxchen17/ci/vllm_pin       -> origin/zhxchen17/ci/vllm_pin
2025-11-03T16:15:36.6812308Z  * [new branch]              zhxchen17/precompile/closure_serde -> origin/zhxchen17/precompile/closure_serde
2025-11-03T16:15:36.6812533Z  * [new branch]              zhxchen17/precompile/default_args -> origin/zhxchen17/precompile/default_args
2025-11-03T16:15:36.6812730Z  * [new branch]              zhxchen17/precompile/export -> origin/zhxchen17/precompile/export
2025-11-03T16:15:36.6812962Z  * [new branch]              zhxchen17/precompile/export_gm -> origin/zhxchen17/precompile/export_gm
2025-11-03T16:15:36.6814060Z  * [new branch]              zhxchen17/precompile_vllm_fix_0 -> origin/zhxchen17/precompile_vllm_fix_0
2025-11-03T16:15:36.6815109Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-11-03T16:15:36.6816836Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-11-03T16:15:36.6817291Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-11-03T16:15:36.6818767Z  * [new branch]              zxiiro/c7i-docs-build       -> origin/zxiiro/c7i-docs-build
2025-11-03T16:15:36.6819041Z  * [new branch]              zxiiro/c7i-linux-4xlarge    -> origin/zxiiro/c7i-linux-4xlarge
2025-11-03T16:15:36.6819771Z  * [new branch]              zxiiro/c7i-linux-build-yaml -> origin/zxiiro/c7i-linux-build-yaml
2025-11-03T16:15:36.6820311Z  * [new branch]              zxiiro/c7i-pull             -> origin/zxiiro/c7i-pull
2025-11-03T16:15:36.6821817Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-11-03T16:15:36.6822028Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-11-03T16:15:36.6822439Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-11-03T16:15:36.6823574Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-11-03T16:15:36.6823997Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-11-03T16:15:36.6824502Z  * [new tag]                 ciflow/b200/157553          -> ciflow/b200/157553
2025-11-03T16:15:36.6825241Z  * [new tag]                 ciflow/b200/157635          -> ciflow/b200/157635
2025-11-03T16:15:36.6825364Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-11-03T16:15:36.6826277Z  * [new tag]                 ciflow/b200/161404          -> ciflow/b200/161404
2025-11-03T16:15:36.6826571Z  * [new tag]                 ciflow/b200/163369          -> ciflow/b200/163369
2025-11-03T16:15:36.6827578Z  * [new tag]                 ciflow/b200/164657          -> ciflow/b200/164657
2025-11-03T16:15:36.6827950Z  * [new tag]                 ciflow/b200/164938          -> ciflow/b200/164938
2025-11-03T16:15:36.6828470Z  * [new tag]                 ciflow/b200/165132          -> ciflow/b200/165132
2025-11-03T16:15:36.6829172Z  * [new tag]                 ciflow/b200/165541          -> ciflow/b200/165541
2025-11-03T16:15:36.6830650Z  * [new tag]                 ciflow/b200/165548          -> ciflow/b200/165548
2025-11-03T16:15:36.6830927Z  * [new tag]                 ciflow/b200/165952          -> ciflow/b200/165952
2025-11-03T16:15:36.6831068Z  * [new tag]                 ciflow/b200/166250          -> ciflow/b200/166250
2025-11-03T16:15:36.6831939Z  * [new tag]                 ciflow/b200/166526          -> ciflow/b200/166526
2025-11-03T16:15:36.6832415Z  * [new tag]                 ciflow/b200/166744          -> ciflow/b200/166744
2025-11-03T16:15:36.6832909Z  * [new tag]                 ciflow/b200/166752          -> ciflow/b200/166752
2025-11-03T16:15:36.6835050Z  * [new tag]                 ciflow/b200/166834          -> ciflow/b200/166834
2025-11-03T16:15:36.6835240Z  * [new tag]                 ciflow/binaries/157432      -> ciflow/binaries/157432
2025-11-03T16:15:36.6835383Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-11-03T16:15:36.6835525Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-11-03T16:15:36.6835694Z  * [new tag]                 ciflow/binaries/166044      -> ciflow/binaries/166044
2025-11-03T16:15:36.6836156Z  * [new tag]                 ciflow/binaries/166621      -> ciflow/binaries/166621
2025-11-03T16:15:36.6836714Z  * [new tag]                 ciflow/binaries/166764      -> ciflow/binaries/166764
2025-11-03T16:15:36.6837342Z  * [new tag]                 ciflow/binaries/166818      -> ciflow/binaries/166818
2025-11-03T16:15:36.6837894Z  * [new tag]                 ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432
2025-11-03T16:15:36.6838996Z  * [new tag]                 ciflow/binaries_wheel/155731 -> ciflow/binaries_wheel/155731
2025-11-03T16:15:36.6839305Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-11-03T16:15:36.6839709Z  * [new tag]                 ciflow/binaries_wheel/166380 -> ciflow/binaries_wheel/166380
2025-11-03T16:15:36.6840115Z  * [new tag]                 ciflow/binaries_wheel/166407 -> ciflow/binaries_wheel/166407
2025-11-03T16:15:36.6840972Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-11-03T16:15:36.6841435Z  * [new tag]                 ciflow/h100-distributed/166367 -> ciflow/h100-distributed/166367
2025-11-03T16:15:36.6842331Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-11-03T16:15:36.6842646Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-11-03T16:15:36.6843118Z  * [new tag]                 ciflow/h100-symm-mem/163814 -> ciflow/h100-symm-mem/163814
2025-11-03T16:15:36.6843567Z  * [new tag]                 ciflow/h100-symm-mem/163815 -> ciflow/h100-symm-mem/163815
2025-11-03T16:15:36.6844054Z  * [new tag]                 ciflow/h100-symm-mem/165548 -> ciflow/h100-symm-mem/165548
2025-11-03T16:15:36.6844460Z  * [new tag]                 ciflow/h100-symm-mem/166772 -> ciflow/h100-symm-mem/166772
2025-11-03T16:15:36.6845024Z  * [new tag]                 ciflow/h100-symm-mem/166773 -> ciflow/h100-symm-mem/166773
2025-11-03T16:15:36.6845368Z  * [new tag]                 ciflow/h100-symm-mem/166774 -> ciflow/h100-symm-mem/166774
2025-11-03T16:15:36.6846221Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-11-03T16:15:36.6846522Z  * [new tag]                 ciflow/h100/157553          -> ciflow/h100/157553
2025-11-03T16:15:36.6847000Z  * [new tag]                 ciflow/h100/157635          -> ciflow/h100/157635
2025-11-03T16:15:36.6847421Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-11-03T16:15:36.6847945Z  * [new tag]                 ciflow/h100/161404          -> ciflow/h100/161404
2025-11-03T16:15:36.6848310Z  * [new tag]                 ciflow/h100/163369          -> ciflow/h100/163369
2025-11-03T16:15:36.6848891Z  * [new tag]                 ciflow/h100/164657          -> ciflow/h100/164657
2025-11-03T16:15:36.6849470Z  * [new tag]                 ciflow/h100/165029          -> ciflow/h100/165029
2025-11-03T16:15:36.6849856Z  * [new tag]                 ciflow/h100/165132          -> ciflow/h100/165132
2025-11-03T16:15:36.6850813Z  * [new tag]                 ciflow/h100/165541          -> ciflow/h100/165541
2025-11-03T16:15:36.6851032Z  * [new tag]                 ciflow/h100/165548          -> ciflow/h100/165548
2025-11-03T16:15:36.6851400Z  * [new tag]                 ciflow/h100/165952          -> ciflow/h100/165952
2025-11-03T16:15:36.6852242Z  * [new tag]                 ciflow/h100/166250          -> ciflow/h100/166250
2025-11-03T16:15:36.6854221Z  * [new tag]                 ciflow/h100/166515          -> ciflow/h100/166515
2025-11-03T16:15:36.6854382Z  * [new tag]                 ciflow/h100/166526          -> ciflow/h100/166526
2025-11-03T16:15:36.6854504Z  * [new tag]                 ciflow/h100/166744          -> ciflow/h100/166744
2025-11-03T16:15:36.6854621Z  * [new tag]                 ciflow/h100/166752          -> ciflow/h100/166752
2025-11-03T16:15:36.6855085Z  * [new tag]                 ciflow/h100/166834          -> ciflow/h100/166834
2025-11-03T16:15:36.6855592Z  * [new tag]                 ciflow/inductor-perf-compare/165029 -> ciflow/inductor-perf-compare/165029
2025-11-03T16:15:36.6857398Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/162053 -> ciflow/inductor-perf-test-nightly-rocm-mi300/162053
2025-11-03T16:15:36.6857739Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/162954 -> ciflow/inductor-perf-test-nightly-x86-zen/162954
2025-11-03T16:15:36.6858021Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164126 -> ciflow/inductor-perf-test-nightly-x86-zen/164126
2025-11-03T16:15:36.6858255Z  * [new tag]                 ciflow/inductor-perf-test-nightly/162053 -> ciflow/inductor-perf-test-nightly/162053
2025-11-03T16:15:36.6858514Z  * [new tag]                 ciflow/inductor-perf-test-nightly/165029 -> ciflow/inductor-perf-test-nightly/165029
2025-11-03T16:15:36.6859017Z  * [new tag]                 ciflow/inductor-periodic/165029 -> ciflow/inductor-periodic/165029
2025-11-03T16:15:36.6859780Z  * [new tag]                 ciflow/inductor-periodic/166743 -> ciflow/inductor-periodic/166743
2025-11-03T16:15:36.6860201Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-11-03T16:15:36.6860730Z  * [new tag]                 ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053
2025-11-03T16:15:36.6861173Z  * [new tag]                 ciflow/inductor-rocm/166515 -> ciflow/inductor-rocm/166515
2025-11-03T16:15:36.6861663Z  * [new tag]                 ciflow/inductor-rocm/166743 -> ciflow/inductor-rocm/166743
2025-11-03T16:15:36.6862131Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-11-03T16:15:36.6862723Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-11-03T16:15:36.6863273Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-11-03T16:15:36.6863796Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-11-03T16:15:36.6864239Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-11-03T16:15:36.6864810Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-11-03T16:15:36.6865265Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-11-03T16:15:36.6865767Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-11-03T16:15:36.6866081Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-11-03T16:15:36.6867495Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-11-03T16:15:36.6867786Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-11-03T16:15:36.6867933Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-11-03T16:15:36.6868329Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-11-03T16:15:36.6868743Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-11-03T16:15:36.6869954Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-11-03T16:15:36.6870325Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-11-03T16:15:36.6870848Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-11-03T16:15:36.6871202Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-11-03T16:15:36.6871705Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-11-03T16:15:36.6872493Z  * [new tag]                 ciflow/inductor/161246      -> ciflow/inductor/161246
2025-11-03T16:15:36.6872780Z  * [new tag]                 ciflow/inductor/161404      -> ciflow/inductor/161404
2025-11-03T16:15:36.6873349Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-11-03T16:15:36.6873754Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-11-03T16:15:36.6874884Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-11-03T16:15:36.6875149Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-11-03T16:15:36.6875302Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-11-03T16:15:36.6875838Z  * [new tag]                 ciflow/inductor/162053      -> ciflow/inductor/162053
2025-11-03T16:15:36.6876238Z  * [new tag]                 ciflow/inductor/162469      -> ciflow/inductor/162469
2025-11-03T16:15:36.6876821Z  * [new tag]                 ciflow/inductor/162709      -> ciflow/inductor/162709
2025-11-03T16:15:36.6877203Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-11-03T16:15:36.6877817Z  * [new tag]                 ciflow/inductor/162954      -> ciflow/inductor/162954
2025-11-03T16:15:36.6878402Z  * [new tag]                 ciflow/inductor/163249      -> ciflow/inductor/163249
2025-11-03T16:15:36.6878877Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-11-03T16:15:36.6879410Z  * [new tag]                 ciflow/inductor/163369      -> ciflow/inductor/163369
2025-11-03T16:15:36.6879858Z  * [new tag]                 ciflow/inductor/163490      -> ciflow/inductor/163490
2025-11-03T16:15:36.6880412Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-11-03T16:15:36.6880789Z  * [new tag]                 ciflow/inductor/163714      -> ciflow/inductor/163714
2025-11-03T16:15:36.6881383Z  * [new tag]                 ciflow/inductor/163936      -> ciflow/inductor/163936
2025-11-03T16:15:36.6881853Z  * [new tag]                 ciflow/inductor/164202      -> ciflow/inductor/164202
2025-11-03T16:15:36.6882373Z  * [new tag]                 ciflow/inductor/164384      -> ciflow/inductor/164384
2025-11-03T16:15:36.6883441Z  * [new tag]                 ciflow/inductor/164657      -> ciflow/inductor/164657
2025-11-03T16:15:36.6883676Z  * [new tag]                 ciflow/inductor/164938      -> ciflow/inductor/164938
2025-11-03T16:15:36.6883822Z  * [new tag]                 ciflow/inductor/164979      -> ciflow/inductor/164979
2025-11-03T16:15:36.6884898Z  * [new tag]                 ciflow/inductor/164980      -> ciflow/inductor/164980
2025-11-03T16:15:36.6885185Z  * [new tag]                 ciflow/inductor/165005      -> ciflow/inductor/165005
2025-11-03T16:15:36.6885328Z  * [new tag]                 ciflow/inductor/165029      -> ciflow/inductor/165029
2025-11-03T16:15:36.6885836Z  * [new tag]                 ciflow/inductor/165092      -> ciflow/inductor/165092
2025-11-03T16:15:36.6886454Z  * [new tag]                 ciflow/inductor/165132      -> ciflow/inductor/165132
2025-11-03T16:15:36.6887018Z  * [new tag]                 ciflow/inductor/165197      -> ciflow/inductor/165197
2025-11-03T16:15:36.6887478Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-11-03T16:15:36.6888009Z  * [new tag]                 ciflow/inductor/165283      -> ciflow/inductor/165283
2025-11-03T16:15:36.6888397Z  * [new tag]                 ciflow/inductor/165284      -> ciflow/inductor/165284
2025-11-03T16:15:36.6889122Z  * [new tag]                 ciflow/inductor/165367      -> ciflow/inductor/165367
2025-11-03T16:15:36.6889677Z  * [new tag]                 ciflow/inductor/165423      -> ciflow/inductor/165423
2025-11-03T16:15:36.6890093Z  * [new tag]                 ciflow/inductor/165487      -> ciflow/inductor/165487
2025-11-03T16:15:36.6892206Z  * [new tag]                 ciflow/inductor/165541      -> ciflow/inductor/165541
2025-11-03T16:15:36.6892452Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-11-03T16:15:36.6892584Z  * [new tag]                 ciflow/inductor/165686      -> ciflow/inductor/165686
2025-11-03T16:15:36.6893129Z  * [new tag]                 ciflow/inductor/165790      -> ciflow/inductor/165790
2025-11-03T16:15:36.6893456Z  * [new tag]                 ciflow/inductor/165824      -> ciflow/inductor/165824
2025-11-03T16:15:36.6893591Z  * [new tag]                 ciflow/inductor/165856      -> ciflow/inductor/165856
2025-11-03T16:15:36.6893794Z  * [new tag]                 ciflow/inductor/165885      -> ciflow/inductor/165885
2025-11-03T16:15:36.6894389Z  * [new tag]                 ciflow/inductor/165952      -> ciflow/inductor/165952
2025-11-03T16:15:36.6894733Z  * [new tag]                 ciflow/inductor/165953      -> ciflow/inductor/165953
2025-11-03T16:15:36.6896543Z  * [new tag]                 ciflow/inductor/166071      -> ciflow/inductor/166071
2025-11-03T16:15:36.6896715Z  * [new tag]                 ciflow/inductor/166083      -> ciflow/inductor/166083
2025-11-03T16:15:36.6896853Z  * [new tag]                 ciflow/inductor/166170      -> ciflow/inductor/166170
2025-11-03T16:15:36.6898626Z  * [new tag]                 ciflow/inductor/166198      -> ciflow/inductor/166198
2025-11-03T16:15:36.6899034Z  * [new tag]                 ciflow/inductor/166225      -> ciflow/inductor/166225
2025-11-03T16:15:36.6899180Z  * [new tag]                 ciflow/inductor/166236      -> ciflow/inductor/166236
2025-11-03T16:15:36.6899320Z  * [new tag]                 ciflow/inductor/166250      -> ciflow/inductor/166250
2025-11-03T16:15:36.6901626Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-11-03T16:15:36.6901769Z  * [new tag]                 ciflow/inductor/166276      -> ciflow/inductor/166276
2025-11-03T16:15:36.6901899Z  * [new tag]                 ciflow/inductor/166294      -> ciflow/inductor/166294
2025-11-03T16:15:36.6902037Z  * [new tag]                 ciflow/inductor/166300      -> ciflow/inductor/166300
2025-11-03T16:15:36.6902171Z  * [new tag]                 ciflow/inductor/166320      -> ciflow/inductor/166320
2025-11-03T16:15:36.6902300Z  * [new tag]                 ciflow/inductor/166321      -> ciflow/inductor/166321
2025-11-03T16:15:36.6902442Z  * [new tag]                 ciflow/inductor/166337      -> ciflow/inductor/166337
2025-11-03T16:15:36.6905485Z  * [new tag]                 ciflow/inductor/166341      -> ciflow/inductor/166341
2025-11-03T16:15:36.6905886Z  * [new tag]                 ciflow/inductor/166354      -> ciflow/inductor/166354
2025-11-03T16:15:36.6906255Z  * [new tag]                 ciflow/inductor/166355      -> ciflow/inductor/166355
2025-11-03T16:15:36.6906410Z  * [new tag]                 ciflow/inductor/166361      -> ciflow/inductor/166361
2025-11-03T16:15:36.6906655Z  * [new tag]                 ciflow/inductor/166366      -> ciflow/inductor/166366
2025-11-03T16:15:36.6906801Z  * [new tag]                 ciflow/inductor/166367      -> ciflow/inductor/166367
2025-11-03T16:15:36.6906937Z  * [new tag]                 ciflow/inductor/166370      -> ciflow/inductor/166370
2025-11-03T16:15:36.6907064Z  * [new tag]                 ciflow/inductor/166371      -> ciflow/inductor/166371
2025-11-03T16:15:36.6907203Z  * [new tag]                 ciflow/inductor/166372      -> ciflow/inductor/166372
2025-11-03T16:15:36.6907331Z  * [new tag]                 ciflow/inductor/166377      -> ciflow/inductor/166377
2025-11-03T16:15:36.6908167Z  * [new tag]                 ciflow/inductor/166400      -> ciflow/inductor/166400
2025-11-03T16:15:36.6908381Z  * [new tag]                 ciflow/inductor/166402      -> ciflow/inductor/166402
2025-11-03T16:15:36.6908510Z  * [new tag]                 ciflow/inductor/166417      -> ciflow/inductor/166417
2025-11-03T16:15:36.6908654Z  * [new tag]                 ciflow/inductor/166433      -> ciflow/inductor/166433
2025-11-03T16:15:36.6911210Z  * [new tag]                 ciflow/inductor/166442      -> ciflow/inductor/166442
2025-11-03T16:15:36.6911603Z  * [new tag]                 ciflow/inductor/166467      -> ciflow/inductor/166467
2025-11-03T16:15:36.6911747Z  * [new tag]                 ciflow/inductor/166479      -> ciflow/inductor/166479
2025-11-03T16:15:36.6911886Z  * [new tag]                 ciflow/inductor/166482      -> ciflow/inductor/166482
2025-11-03T16:15:36.6912043Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-11-03T16:15:36.6912189Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-11-03T16:15:36.6912533Z  * [new tag]                 ciflow/inductor/166498      -> ciflow/inductor/166498
2025-11-03T16:15:36.6913036Z  * [new tag]                 ciflow/inductor/166499      -> ciflow/inductor/166499
2025-11-03T16:15:36.6913568Z  * [new tag]                 ciflow/inductor/166515      -> ciflow/inductor/166515
2025-11-03T16:15:36.6913978Z  * [new tag]                 ciflow/inductor/166536      -> ciflow/inductor/166536
2025-11-03T16:15:36.6914918Z  * [new tag]                 ciflow/inductor/166540      -> ciflow/inductor/166540
2025-11-03T16:15:36.6921307Z  * [new tag]                 ciflow/inductor/166541      -> ciflow/inductor/166541
2025-11-03T16:15:36.6921640Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-11-03T16:15:36.6921870Z  * [new tag]                 ciflow/inductor/166581      -> ciflow/inductor/166581
2025-11-03T16:15:36.6922014Z  * [new tag]                 ciflow/inductor/166584      -> ciflow/inductor/166584
2025-11-03T16:15:36.6922147Z  * [new tag]                 ciflow/inductor/166593      -> ciflow/inductor/166593
2025-11-03T16:15:36.6922279Z  * [new tag]                 ciflow/inductor/166600      -> ciflow/inductor/166600
2025-11-03T16:15:36.6922405Z  * [new tag]                 ciflow/inductor/166608      -> ciflow/inductor/166608
2025-11-03T16:15:36.6922537Z  * [new tag]                 ciflow/inductor/166610      -> ciflow/inductor/166610
2025-11-03T16:15:36.6922662Z  * [new tag]                 ciflow/inductor/166629      -> ciflow/inductor/166629
2025-11-03T16:15:36.6922785Z  * [new tag]                 ciflow/inductor/166640      -> ciflow/inductor/166640
2025-11-03T16:15:36.6922918Z  * [new tag]                 ciflow/inductor/166648      -> ciflow/inductor/166648
2025-11-03T16:15:36.6923044Z  * [new tag]                 ciflow/inductor/166658      -> ciflow/inductor/166658
2025-11-03T16:15:36.6923177Z  * [new tag]                 ciflow/inductor/166659      -> ciflow/inductor/166659
2025-11-03T16:15:36.6923304Z  * [new tag]                 ciflow/inductor/166662      -> ciflow/inductor/166662
2025-11-03T16:15:36.6923441Z  * [new tag]                 ciflow/inductor/166663      -> ciflow/inductor/166663
2025-11-03T16:15:36.6924122Z  * [new tag]                 ciflow/inductor/166664      -> ciflow/inductor/166664
2025-11-03T16:15:36.6924281Z  * [new tag]                 ciflow/inductor/166669      -> ciflow/inductor/166669
2025-11-03T16:15:36.6924415Z  * [new tag]                 ciflow/inductor/166673      -> ciflow/inductor/166673
2025-11-03T16:15:36.6924562Z  * [new tag]                 ciflow/inductor/166674      -> ciflow/inductor/166674
2025-11-03T16:15:36.6924721Z  * [new tag]                 ciflow/inductor/166676      -> ciflow/inductor/166676
2025-11-03T16:15:36.6925228Z  * [new tag]                 ciflow/inductor/166679      -> ciflow/inductor/166679
2025-11-03T16:15:36.6925916Z  * [new tag]                 ciflow/inductor/166701      -> ciflow/inductor/166701
2025-11-03T16:15:36.6926431Z  * [new tag]                 ciflow/inductor/166720      -> ciflow/inductor/166720
2025-11-03T16:15:36.6927045Z  * [new tag]                 ciflow/inductor/166738      -> ciflow/inductor/166738
2025-11-03T16:15:36.6927456Z  * [new tag]                 ciflow/inductor/166740      -> ciflow/inductor/166740
2025-11-03T16:15:36.6928275Z  * [new tag]                 ciflow/inductor/166741      -> ciflow/inductor/166741
2025-11-03T16:15:36.6928534Z  * [new tag]                 ciflow/inductor/166745      -> ciflow/inductor/166745
2025-11-03T16:15:36.6929534Z  * [new tag]                 ciflow/inductor/166747      -> ciflow/inductor/166747
2025-11-03T16:15:36.6929758Z  * [new tag]                 ciflow/inductor/166757      -> ciflow/inductor/166757
2025-11-03T16:15:36.6930319Z  * [new tag]                 ciflow/inductor/166762      -> ciflow/inductor/166762
2025-11-03T16:15:36.6930716Z  * [new tag]                 ciflow/inductor/166775      -> ciflow/inductor/166775
2025-11-03T16:15:36.6931002Z  * [new tag]                 ciflow/inductor/166776      -> ciflow/inductor/166776
2025-11-03T16:15:36.6931399Z  * [new tag]                 ciflow/inductor/166777      -> ciflow/inductor/166777
2025-11-03T16:15:36.6932012Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-11-03T16:15:36.6934886Z  * [new tag]                 ciflow/inductor/166791      -> ciflow/inductor/166791
2025-11-03T16:15:36.6935057Z  * [new tag]                 ciflow/inductor/166793      -> ciflow/inductor/166793
2025-11-03T16:15:36.6935201Z  * [new tag]                 ciflow/inductor/166803      -> ciflow/inductor/166803
2025-11-03T16:15:36.6935335Z  * [new tag]                 ciflow/inductor/166808      -> ciflow/inductor/166808
2025-11-03T16:15:36.6935644Z  * [new tag]                 ciflow/inductor/166822      -> ciflow/inductor/166822
2025-11-03T16:15:36.6935782Z  * [new tag]                 ciflow/inductor/166834      -> ciflow/inductor/166834
2025-11-03T16:15:36.6936367Z  * [new tag]                 ciflow/inductor/166839      -> ciflow/inductor/166839
2025-11-03T16:15:36.6936506Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-11-03T16:15:36.6936816Z  * [new tag]                 ciflow/inductor/166855      -> ciflow/inductor/166855
2025-11-03T16:15:36.6937502Z  * [new tag]                 ciflow/inductor/166867      -> ciflow/inductor/166867
2025-11-03T16:15:36.6937854Z  * [new tag]                 ciflow/inductor/166868      -> ciflow/inductor/166868
2025-11-03T16:15:36.6938877Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-11-03T16:15:36.6939194Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-11-03T16:15:36.6940580Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-11-03T16:15:36.6940892Z  * [new tag]                 ciflow/linux-aarch64/166380 -> ciflow/linux-aarch64/166380
2025-11-03T16:15:36.6941351Z  * [new tag]                 ciflow/linux-aarch64/166441 -> ciflow/linux-aarch64/166441
2025-11-03T16:15:36.6941874Z  * [new tag]                 ciflow/linux-aarch64/166549 -> ciflow/linux-aarch64/166549
2025-11-03T16:15:36.6942238Z  * [new tag]                 ciflow/linux-aarch64/166640 -> ciflow/linux-aarch64/166640
2025-11-03T16:15:36.6943154Z  * [new tag]                 ciflow/linux-aarch64/166691 -> ciflow/linux-aarch64/166691
2025-11-03T16:15:36.6943400Z  * [new tag]                 ciflow/linux-aarch64/166849 -> ciflow/linux-aarch64/166849
2025-11-03T16:15:36.6944022Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-11-03T16:15:36.6944484Z  * [new tag]                 ciflow/mps/157554           -> ciflow/mps/157554
2025-11-03T16:15:36.6945176Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-11-03T16:15:36.6945454Z  * [new tag]                 ciflow/mps/165952           -> ciflow/mps/165952
2025-11-03T16:15:36.6946061Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-11-03T16:15:36.6946431Z  * [new tag]                 ciflow/mps/166273           -> ciflow/mps/166273
2025-11-03T16:15:36.6947419Z  * [new tag]                 ciflow/mps/166396           -> ciflow/mps/166396
2025-11-03T16:15:36.6947695Z  * [new tag]                 ciflow/mps/166615           -> ciflow/mps/166615
2025-11-03T16:15:36.6948029Z  * [new tag]                 ciflow/mps/166687           -> ciflow/mps/166687
2025-11-03T16:15:36.6948579Z  * [new tag]                 ciflow/mps/166712           -> ciflow/mps/166712
2025-11-03T16:15:36.6949013Z  * [new tag]                 ciflow/mps/166818           -> ciflow/mps/166818
2025-11-03T16:15:36.6950021Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-11-03T16:15:36.6950403Z  * [new tag]                 ciflow/nightly/166727       -> ciflow/nightly/166727
2025-11-03T16:15:36.6950863Z  * [new tag]                 ciflow/op-benchmark/165915  -> ciflow/op-benchmark/165915
2025-11-03T16:15:36.6951226Z  * [new tag]                 ciflow/op-benchmark/166331  -> ciflow/op-benchmark/166331
2025-11-03T16:15:36.6951842Z  * [new tag]                 ciflow/op-benchmark/166640  -> ciflow/op-benchmark/166640
2025-11-03T16:15:36.6952313Z  * [new tag]                 ciflow/op-benchmark/166652  -> ciflow/op-benchmark/166652
2025-11-03T16:15:36.6952812Z  * [new tag]                 ciflow/op-benchmark/166731  -> ciflow/op-benchmark/166731
2025-11-03T16:15:36.6953777Z  * [new tag]                 ciflow/periodic-rocm-mi200/166743 -> ciflow/periodic-rocm-mi200/166743
2025-11-03T16:15:36.6954205Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-11-03T16:15:36.6954737Z  * [new tag]                 ciflow/periodic-rocm-mi300/166743 -> ciflow/periodic-rocm-mi300/166743
2025-11-03T16:15:36.6955708Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-11-03T16:15:36.6956270Z  * [new tag]                 ciflow/periodic/06e71c85583d9857f716b441eef9db40d3f27a39 -> ciflow/periodic/06e71c85583d9857f716b441eef9db40d3f27a39
2025-11-03T16:15:36.6958022Z  * [new tag]                 ciflow/periodic/0e46a10aa7cf69354a0a0cbd268506b53a7cc882 -> ciflow/periodic/0e46a10aa7cf69354a0a0cbd268506b53a7cc882
2025-11-03T16:15:36.6958284Z  * [new tag]                 ciflow/periodic/163490      -> ciflow/periodic/163490
2025-11-03T16:15:36.6958994Z  * [new tag]                 ciflow/periodic/164202      -> ciflow/periodic/164202
2025-11-03T16:15:36.6959162Z  * [new tag]                 ciflow/periodic/164938      -> ciflow/periodic/164938
2025-11-03T16:15:36.6959311Z  * [new tag]                 ciflow/periodic/165885      -> ciflow/periodic/165885
2025-11-03T16:15:36.6959466Z  * [new tag]                 ciflow/periodic/166517      -> ciflow/periodic/166517
2025-11-03T16:15:36.6960341Z  * [new tag]                 ciflow/periodic/1e836bc769f9cfabc7659a172b8c2edee7c375d3 -> ciflow/periodic/1e836bc769f9cfabc7659a172b8c2edee7c375d3
2025-11-03T16:15:36.6960540Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-11-03T16:15:36.6961390Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-11-03T16:15:36.6961746Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-11-03T16:15:36.6962768Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-11-03T16:15:36.6963227Z  * [new tag]                 ciflow/periodic/687c15c0b3f01118536413d21efcd052838fa10d -> ciflow/periodic/687c15c0b3f01118536413d21efcd052838fa10d
2025-11-03T16:15:36.6963947Z  * [new tag]                 ciflow/periodic/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a -> ciflow/periodic/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a
2025-11-03T16:15:36.6964505Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-11-03T16:15:36.6965267Z  * [new tag]                 ciflow/periodic/96b61844a722d2ae8b1a2dc283a6c0060b40782e -> ciflow/periodic/96b61844a722d2ae8b1a2dc283a6c0060b40782e
2025-11-03T16:15:36.6965900Z  * [new tag]                 ciflow/periodic/be283297100ab86123e74b7a8372995d32b140c8 -> ciflow/periodic/be283297100ab86123e74b7a8372995d32b140c8
2025-11-03T16:15:36.6966522Z  * [new tag]                 ciflow/periodic/bfc2050db975e589795cd3eceaed2e83bf89ad35 -> ciflow/periodic/bfc2050db975e589795cd3eceaed2e83bf89ad35
2025-11-03T16:15:36.6967157Z  * [new tag]                 ciflow/periodic/c5701d0ab5f55b23243dd437f57e856970c45bb6 -> ciflow/periodic/c5701d0ab5f55b23243dd437f57e856970c45bb6
2025-11-03T16:15:36.6967840Z  * [new tag]                 ciflow/periodic/cde81e92b95eee9af2879c9c75f7b03699ca72ad -> ciflow/periodic/cde81e92b95eee9af2879c9c75f7b03699ca72ad
2025-11-03T16:15:36.6968632Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-11-03T16:15:36.6969157Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-11-03T16:15:36.6970177Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-11-03T16:15:36.6970470Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-11-03T16:15:36.6971469Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-11-03T16:15:36.6972018Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-11-03T16:15:36.6973366Z  * [new tag]                 ciflow/pull/166321          -> ciflow/pull/166321
2025-11-03T16:15:36.6973598Z  * [new tag]                 ciflow/pull/166768          -> ciflow/pull/166768
2025-11-03T16:15:36.6973898Z  * [new tag]                 ciflow/pull/18f425962656f009e151944d12f76e2f856b85df -> ciflow/pull/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:15:36.6974734Z  * [new tag]                 ciflow/pull/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> ciflow/pull/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:15:36.6975419Z  * [new tag]                 ciflow/pull/79aee77381b21d41c77148e5ff84c4b351aaf144 -> ciflow/pull/79aee77381b21d41c77148e5ff84c4b351aaf144
2025-11-03T16:15:36.6976308Z  * [new tag]                 ciflow/pull/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> ciflow/pull/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:15:36.6976718Z  * [new tag]                 ciflow/pull/cee03634dab2dbf259d84bc389bdea80de0f80ac -> ciflow/pull/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:15:36.6977425Z  * [new tag]                 ciflow/pull/d962bed15798961ffd10e64068f86a2cec411ffb -> ciflow/pull/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:15:36.6977903Z  * [new tag]                 ciflow/pull/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> ciflow/pull/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:15:36.6978799Z  * [new tag]                 ciflow/pull/f013e804c876a34cbc86a6a475597e3e29812883 -> ciflow/pull/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:15:36.6979306Z  * [new tag]                 ciflow/pull/f5cb9a4c68d9271c58ef4d3257210984b8e85099 -> ciflow/pull/f5cb9a4c68d9271c58ef4d3257210984b8e85099
2025-11-03T16:15:36.6979858Z  * [new tag]                 ciflow/rocm-mi300/162053    -> ciflow/rocm-mi300/162053
2025-11-03T16:15:36.6980287Z  * [new tag]                 ciflow/rocm-mi300/165548    -> ciflow/rocm-mi300/165548
2025-11-03T16:15:36.6981513Z  * [new tag]                 ciflow/rocm-mi300/166317    -> ciflow/rocm-mi300/166317
2025-11-03T16:15:36.6981739Z  * [new tag]                 ciflow/rocm-mi300/166743    -> ciflow/rocm-mi300/166743
2025-11-03T16:15:36.6981882Z  * [new tag]                 ciflow/rocm-mi355/162053    -> ciflow/rocm-mi355/162053
2025-11-03T16:15:36.6982458Z  * [new tag]                 ciflow/rocm-mi355/166743    -> ciflow/rocm-mi355/166743
2025-11-03T16:15:36.6983027Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-11-03T16:15:36.6983478Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-11-03T16:15:36.6984014Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-11-03T16:15:36.6984374Z  * [new tag]                 ciflow/rocm/157553          -> ciflow/rocm/157553
2025-11-03T16:15:36.6986012Z  * [new tag]                 ciflow/rocm/157635          -> ciflow/rocm/157635
2025-11-03T16:15:36.6986313Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-11-03T16:15:36.6986442Z  * [new tag]                 ciflow/rocm/161404          -> ciflow/rocm/161404
2025-11-03T16:15:36.6986566Z  * [new tag]                 ciflow/rocm/162053          -> ciflow/rocm/162053
2025-11-03T16:15:36.6986686Z  * [new tag]                 ciflow/rocm/163369          -> ciflow/rocm/163369
2025-11-03T16:15:36.6990727Z  * [new tag]                 ciflow/rocm/164657          -> ciflow/rocm/164657
2025-11-03T16:15:36.6991172Z  * [new tag]                 ciflow/rocm/165132          -> ciflow/rocm/165132
2025-11-03T16:15:36.6991318Z  * [new tag]                 ciflow/rocm/165541          -> ciflow/rocm/165541
2025-11-03T16:15:36.6991467Z  * [new tag]                 ciflow/rocm/165548          -> ciflow/rocm/165548
2025-11-03T16:15:36.6991597Z  * [new tag]                 ciflow/rocm/165952          -> ciflow/rocm/165952
2025-11-03T16:15:36.6991719Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-11-03T16:15:36.6991848Z  * [new tag]                 ciflow/rocm/166250          -> ciflow/rocm/166250
2025-11-03T16:15:36.6991970Z  * [new tag]                 ciflow/rocm/166317          -> ciflow/rocm/166317
2025-11-03T16:15:36.6995510Z  * [new tag]                 ciflow/rocm/166377          -> ciflow/rocm/166377
2025-11-03T16:15:36.6995758Z  * [new tag]                 ciflow/rocm/166391          -> ciflow/rocm/166391
2025-11-03T16:15:36.6995989Z  * [new tag]                 ciflow/rocm/166515          -> ciflow/rocm/166515
2025-11-03T16:15:36.6996116Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-11-03T16:15:36.6996252Z  * [new tag]                 ciflow/rocm/166526          -> ciflow/rocm/166526
2025-11-03T16:15:36.6996376Z  * [new tag]                 ciflow/rocm/166743          -> ciflow/rocm/166743
2025-11-03T16:15:36.6996493Z  * [new tag]                 ciflow/rocm/166744          -> ciflow/rocm/166744
2025-11-03T16:15:36.6996615Z  * [new tag]                 ciflow/rocm/166752          -> ciflow/rocm/166752
2025-11-03T16:15:36.6996730Z  * [new tag]                 ciflow/rocm/166764          -> ciflow/rocm/166764
2025-11-03T16:15:36.6996846Z  * [new tag]                 ciflow/rocm/166834          -> ciflow/rocm/166834
2025-11-03T16:15:36.6999276Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-11-03T16:15:36.6999531Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-11-03T16:15:36.6999926Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-11-03T16:15:36.7000074Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-11-03T16:15:36.7000197Z  * [new tag]                 ciflow/slow/166844          -> ciflow/slow/166844
2025-11-03T16:15:36.7000327Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-11-03T16:15:36.7000448Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-11-03T16:15:36.7003679Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-11-03T16:15:36.7004097Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-11-03T16:15:36.7004246Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-11-03T16:15:36.7004418Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-11-03T16:15:36.7004543Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-11-03T16:15:36.7004678Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-11-03T16:15:36.7005243Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-11-03T16:15:36.7005377Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-11-03T16:15:36.7007564Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-11-03T16:15:36.7007761Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-11-03T16:15:36.7007890Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-11-03T16:15:36.7008021Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-11-03T16:15:36.7008367Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-11-03T16:15:36.7008673Z  * [new tag]                 ciflow/trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12 -> ciflow/trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12
2025-11-03T16:15:36.7011440Z  * [new tag]                 ciflow/trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445 -> ciflow/trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445
2025-11-03T16:15:36.7011574Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-11-03T16:15:36.7011703Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-11-03T16:15:36.7011823Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-11-03T16:15:36.7011947Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-11-03T16:15:36.7012136Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-11-03T16:15:36.7012255Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-11-03T16:15:36.7012381Z  * [new tag]                 ciflow/trunk/155731         -> ciflow/trunk/155731
2025-11-03T16:15:36.7012503Z  * [new tag]                 ciflow/trunk/156812         -> ciflow/trunk/156812
2025-11-03T16:15:36.7012631Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-11-03T16:15:36.7012749Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-11-03T16:15:36.7012899Z  * [new tag]                 ciflow/trunk/160417         -> ciflow/trunk/160417
2025-11-03T16:15:36.7013816Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-11-03T16:15:36.7014003Z  * [new tag]                 ciflow/trunk/161771         -> ciflow/trunk/161771
2025-11-03T16:15:36.7015845Z  * [new tag]                 ciflow/trunk/162053         -> ciflow/trunk/162053
2025-11-03T16:15:36.7016047Z  * [new tag]                 ciflow/trunk/162454         -> ciflow/trunk/162454
2025-11-03T16:15:36.7016182Z  * [new tag]                 ciflow/trunk/162564         -> ciflow/trunk/162564
2025-11-03T16:15:36.7016336Z  * [new tag]                 ciflow/trunk/162709         -> ciflow/trunk/162709
2025-11-03T16:15:36.7020596Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-11-03T16:15:36.7020864Z  * [new tag]                 ciflow/trunk/163249         -> ciflow/trunk/163249
2025-11-03T16:15:36.7021015Z  * [new tag]                 ciflow/trunk/163490         -> ciflow/trunk/163490
2025-11-03T16:15:36.7021135Z  * [new tag]                 ciflow/trunk/164202         -> ciflow/trunk/164202
2025-11-03T16:15:36.7021254Z  * [new tag]                 ciflow/trunk/164938         -> ciflow/trunk/164938
2025-11-03T16:15:36.7021382Z  * [new tag]                 ciflow/trunk/164979         -> ciflow/trunk/164979
2025-11-03T16:15:36.7021513Z  * [new tag]                 ciflow/trunk/164980         -> ciflow/trunk/164980
2025-11-03T16:15:36.7021641Z  * [new tag]                 ciflow/trunk/165029         -> ciflow/trunk/165029
2025-11-03T16:15:36.7021757Z  * [new tag]                 ciflow/trunk/165049         -> ciflow/trunk/165049
2025-11-03T16:15:36.7022050Z  * [new tag]                 ciflow/trunk/165067         -> ciflow/trunk/165067
2025-11-03T16:15:36.7022180Z  * [new tag]                 ciflow/trunk/165132         -> ciflow/trunk/165132
2025-11-03T16:15:36.7022591Z  * [new tag]                 ciflow/trunk/165216         -> ciflow/trunk/165216
2025-11-03T16:15:36.7023087Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-11-03T16:15:36.7024173Z  * [new tag]                 ciflow/trunk/165431         -> ciflow/trunk/165431
2025-11-03T16:15:36.7024316Z  * [new tag]                 ciflow/trunk/165548         -> ciflow/trunk/165548
2025-11-03T16:15:36.7024575Z  * [new tag]                 ciflow/trunk/165642         -> ciflow/trunk/165642
2025-11-03T16:15:36.7025505Z  * [new tag]                 ciflow/trunk/165646         -> ciflow/trunk/165646
2025-11-03T16:15:36.7025762Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-11-03T16:15:36.7026207Z  * [new tag]                 ciflow/trunk/165824         -> ciflow/trunk/165824
2025-11-03T16:15:36.7026715Z  * [new tag]                 ciflow/trunk/165885         -> ciflow/trunk/165885
2025-11-03T16:15:36.7027296Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-11-03T16:15:36.7027745Z  * [new tag]                 ciflow/trunk/165972         -> ciflow/trunk/165972
2025-11-03T16:15:36.7028154Z  * [new tag]                 ciflow/trunk/166010         -> ciflow/trunk/166010
2025-11-03T16:15:36.7029313Z  * [new tag]                 ciflow/trunk/166071         -> ciflow/trunk/166071
2025-11-03T16:15:36.7029577Z  * [new tag]                 ciflow/trunk/166160         -> ciflow/trunk/166160
2025-11-03T16:15:36.7030307Z  * [new tag]                 ciflow/trunk/166170         -> ciflow/trunk/166170
2025-11-03T16:15:36.7030602Z  * [new tag]                 ciflow/trunk/166198         -> ciflow/trunk/166198
2025-11-03T16:15:36.7031134Z  * [new tag]                 ciflow/trunk/166294         -> ciflow/trunk/166294
2025-11-03T16:15:36.7031617Z  * [new tag]                 ciflow/trunk/166299         -> ciflow/trunk/166299
2025-11-03T16:15:36.7032133Z  * [new tag]                 ciflow/trunk/166317         -> ciflow/trunk/166317
2025-11-03T16:15:36.7032528Z  * [new tag]                 ciflow/trunk/166321         -> ciflow/trunk/166321
2025-11-03T16:15:36.7033122Z  * [new tag]                 ciflow/trunk/166361         -> ciflow/trunk/166361
2025-11-03T16:15:36.7033569Z  * [new tag]                 ciflow/trunk/166367         -> ciflow/trunk/166367
2025-11-03T16:15:36.7034763Z  * [new tag]                 ciflow/trunk/166376         -> ciflow/trunk/166376
2025-11-03T16:15:36.7036990Z  * [new tag]                 ciflow/trunk/166379         -> ciflow/trunk/166379
2025-11-03T16:15:36.7037113Z  * [new tag]                 ciflow/trunk/166380         -> ciflow/trunk/166380
2025-11-03T16:15:36.7037244Z  * [new tag]                 ciflow/trunk/166402         -> ciflow/trunk/166402
2025-11-03T16:15:36.7037468Z  * [new tag]                 ciflow/trunk/166416         -> ciflow/trunk/166416
2025-11-03T16:15:36.7037599Z  * [new tag]                 ciflow/trunk/166431         -> ciflow/trunk/166431
2025-11-03T16:15:36.7037727Z  * [new tag]                 ciflow/trunk/166433         -> ciflow/trunk/166433
2025-11-03T16:15:36.7037853Z  * [new tag]                 ciflow/trunk/166459         -> ciflow/trunk/166459
2025-11-03T16:15:36.7037982Z  * [new tag]                 ciflow/trunk/166469         -> ciflow/trunk/166469
2025-11-03T16:15:36.7038477Z  * [new tag]                 ciflow/trunk/166493         -> ciflow/trunk/166493
2025-11-03T16:15:36.7038731Z  * [new tag]                 ciflow/trunk/166526         -> ciflow/trunk/166526
2025-11-03T16:15:36.7039813Z  * [new tag]                 ciflow/trunk/166536         -> ciflow/trunk/166536
2025-11-03T16:15:36.7040084Z  * [new tag]                 ciflow/trunk/166541         -> ciflow/trunk/166541
2025-11-03T16:15:36.7040282Z  * [new tag]                 ciflow/trunk/166549         -> ciflow/trunk/166549
2025-11-03T16:15:36.7041321Z  * [new tag]                 ciflow/trunk/166560         -> ciflow/trunk/166560
2025-11-03T16:15:36.7041601Z  * [new tag]                 ciflow/trunk/166608         -> ciflow/trunk/166608
2025-11-03T16:15:36.7041737Z  * [new tag]                 ciflow/trunk/166610         -> ciflow/trunk/166610
2025-11-03T16:15:36.7042499Z  * [new tag]                 ciflow/trunk/166613         -> ciflow/trunk/166613
2025-11-03T16:15:36.7042837Z  * [new tag]                 ciflow/trunk/166640         -> ciflow/trunk/166640
2025-11-03T16:15:36.7043326Z  * [new tag]                 ciflow/trunk/166687         -> ciflow/trunk/166687
2025-11-03T16:15:36.7043751Z  * [new tag]                 ciflow/trunk/166688         -> ciflow/trunk/166688
2025-11-03T16:15:36.7044287Z  * [new tag]                 ciflow/trunk/166689         -> ciflow/trunk/166689
2025-11-03T16:15:36.7044781Z  * [new tag]                 ciflow/trunk/166715         -> ciflow/trunk/166715
2025-11-03T16:15:36.7045352Z  * [new tag]                 ciflow/trunk/166727         -> ciflow/trunk/166727
2025-11-03T16:15:36.7046152Z  * [new tag]                 ciflow/trunk/166744         -> ciflow/trunk/166744
2025-11-03T16:15:36.7046509Z  * [new tag]                 ciflow/trunk/166751         -> ciflow/trunk/166751
2025-11-03T16:15:36.7047058Z  * [new tag]                 ciflow/trunk/166768         -> ciflow/trunk/166768
2025-11-03T16:15:36.7047522Z  * [new tag]                 ciflow/trunk/166793         -> ciflow/trunk/166793
2025-11-03T16:15:36.7048472Z  * [new tag]                 ciflow/trunk/166805         -> ciflow/trunk/166805
2025-11-03T16:15:36.7048800Z  * [new tag]                 ciflow/trunk/166806         -> ciflow/trunk/166806
2025-11-03T16:15:36.7049354Z  * [new tag]                 ciflow/trunk/166813         -> ciflow/trunk/166813
2025-11-03T16:15:36.7049504Z  * [new tag]                 ciflow/trunk/166830         -> ciflow/trunk/166830
2025-11-03T16:15:36.7049964Z  * [new tag]                 ciflow/trunk/166839         -> ciflow/trunk/166839
2025-11-03T16:15:36.7051057Z  * [new tag]                 ciflow/trunk/166840         -> ciflow/trunk/166840
2025-11-03T16:15:36.7051273Z  * [new tag]                 ciflow/trunk/166844         -> ciflow/trunk/166844
2025-11-03T16:15:36.7051817Z  * [new tag]                 ciflow/trunk/166847         -> ciflow/trunk/166847
2025-11-03T16:15:36.7052297Z  * [new tag]                 ciflow/trunk/166861         -> ciflow/trunk/166861
2025-11-03T16:15:36.7053064Z  * [new tag]                 ciflow/trunk/18f425962656f009e151944d12f76e2f856b85df -> ciflow/trunk/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:15:36.7053781Z  * [new tag]                 ciflow/trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> ciflow/trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:15:36.7054336Z  * [new tag]                 ciflow/trunk/a19e92d43355489c8d33325321e688a6e6182267 -> ciflow/trunk/a19e92d43355489c8d33325321e688a6e6182267
2025-11-03T16:15:36.7054864Z  * [new tag]                 ciflow/trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> ciflow/trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:15:36.7056689Z  * [new tag]                 ciflow/trunk/c3dc0c7089f3204c36961acc227a3ff503530094 -> ciflow/trunk/c3dc0c7089f3204c36961acc227a3ff503530094
2025-11-03T16:15:36.7056997Z  * [new tag]                 ciflow/trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac -> ciflow/trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:15:36.7057289Z  * [new tag]                 ciflow/trunk/d962bed15798961ffd10e64068f86a2cec411ffb -> ciflow/trunk/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:15:36.7057587Z  * [new tag]                 ciflow/trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> ciflow/trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:15:36.7057881Z  * [new tag]                 ciflow/trunk/f013e804c876a34cbc86a6a475597e3e29812883 -> ciflow/trunk/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:15:36.7058142Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-11-03T16:15:36.7059148Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-11-03T16:15:36.7059413Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-11-03T16:15:36.7060750Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-11-03T16:15:36.7061007Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-11-03T16:15:36.7061126Z  * [new tag]                 ciflow/xpu/161246           -> ciflow/xpu/161246
2025-11-03T16:15:36.7061354Z  * [new tag]                 ciflow/xpu/162454           -> ciflow/xpu/162454
2025-11-03T16:15:36.7061902Z  * [new tag]                 ciflow/xpu/162475           -> ciflow/xpu/162475
2025-11-03T16:15:36.7062287Z  * [new tag]                 ciflow/xpu/162564           -> ciflow/xpu/162564
2025-11-03T16:15:36.7062786Z  * [new tag]                 ciflow/xpu/165049           -> ciflow/xpu/165049
2025-11-03T16:15:36.7063204Z  * [new tag]                 ciflow/xpu/165423           -> ciflow/xpu/165423
2025-11-03T16:15:36.7063789Z  * [new tag]                 ciflow/xpu/166292           -> ciflow/xpu/166292
2025-11-03T16:15:36.7064253Z  * [new tag]                 ciflow/xpu/166299           -> ciflow/xpu/166299
2025-11-03T16:15:36.7064703Z  * [new tag]                 ciflow/xpu/166376           -> ciflow/xpu/166376
2025-11-03T16:15:36.7065481Z  * [new tag]                 ciflow/xpu/166396           -> ciflow/xpu/166396
2025-11-03T16:15:36.7066048Z  * [new tag]                 ciflow/xpu/166424           -> ciflow/xpu/166424
2025-11-03T16:15:36.7067153Z  * [new tag]                 ciflow/xpu/166436           -> ciflow/xpu/166436
2025-11-03T16:15:36.7067419Z  * [new tag]                 ciflow/xpu/166495           -> ciflow/xpu/166495
2025-11-03T16:15:36.7067951Z  * [new tag]                 ciflow/xpu/166504           -> ciflow/xpu/166504
2025-11-03T16:15:36.7068422Z  * [new tag]                 ciflow/xpu/166613           -> ciflow/xpu/166613
2025-11-03T16:15:36.7069709Z  * [new tag]                 ciflow/xpu/166684           -> ciflow/xpu/166684
2025-11-03T16:15:36.7069842Z  * [new tag]                 ciflow/xpu/166830           -> ciflow/xpu/166830
2025-11-03T16:15:36.7069980Z  * [new tag]                 ciflow/xpu/166834           -> ciflow/xpu/166834
2025-11-03T16:15:36.7071020Z  * [new tag]                 ciflow/xpu/166839           -> ciflow/xpu/166839
2025-11-03T16:15:36.7071492Z  * [new tag]                 ciflow/xpu/166840           -> ciflow/xpu/166840
2025-11-03T16:15:36.7072744Z  * [new tag]                 ciflow/xpu/166847           -> ciflow/xpu/166847
2025-11-03T16:15:36.7072994Z  * [new tag]                 ciflow/xpu/166861           -> ciflow/xpu/166861
2025-11-03T16:15:36.7073136Z  * [new tag]                 cslpull75                   -> cslpull75
2025-11-03T16:15:36.7073888Z  * [new tag]                 cslpull76                   -> cslpull76
2025-11-03T16:15:36.7074133Z  * [new tag]                 cslpull77                   -> cslpull77
2025-11-03T16:15:36.7075160Z  * [new tag]                 cslpull78                   -> cslpull78
2025-11-03T16:15:36.7075568Z  * [new tag]                 cslpull79                   -> cslpull79
2025-11-03T16:15:36.7076706Z  * [new tag]                 cslpull80                   -> cslpull80
2025-11-03T16:15:36.7076965Z  * [new tag]                 cslpull81                   -> cslpull81
2025-11-03T16:15:36.7077639Z  * [new tag]                 cslpull82                   -> cslpull82
2025-11-03T16:15:36.7078538Z  * [new tag]                 cslpull83                   -> cslpull83
2025-11-03T16:15:36.7078672Z  * [new tag]                 cslpull84                   -> cslpull84
2025-11-03T16:15:36.7079601Z  * [new tag]                 cslpull85                   -> cslpull85
2025-11-03T16:15:36.7079844Z  * [new tag]                 cslpull86                   -> cslpull86
2025-11-03T16:15:36.7080785Z  * [new tag]                 cslpull87                   -> cslpull87
2025-11-03T16:15:36.7081094Z  * [new tag]                 cslpull88                   -> cslpull88
2025-11-03T16:15:36.7082087Z  * [new tag]                 cslpull89                   -> cslpull89
2025-11-03T16:15:36.7082356Z  * [new tag]                 cslpull90                   -> cslpull90
2025-11-03T16:15:36.7083531Z  * [new tag]                 cslpull91                   -> cslpull91
2025-11-03T16:15:36.7083811Z  * [new tag]                 cslpull92                   -> cslpull92
2025-11-03T16:15:36.7084727Z  * [new tag]                 flight_5                    -> flight_5
2025-11-03T16:15:36.7085424Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-11-03T16:15:36.7086014Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-11-03T16:15:36.7086695Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-11-03T16:15:36.7087423Z  * [new tag]                 forpull1                    -> forpull1
2025-11-03T16:15:36.7088449Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-11-03T16:15:36.7088706Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-11-03T16:15:36.7089488Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-11-03T16:15:36.7090000Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-11-03T16:15:36.7090728Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-11-03T16:15:36.7091217Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-11-03T16:15:36.7092732Z  * [new tag]                 trunk/000f49551bfda0683d395e1fe67f53cfb785868f -> trunk/000f49551bfda0683d395e1fe67f53cfb785868f
2025-11-03T16:15:36.7092987Z  * [new tag]                 trunk/009ea77234788b29910b1205679036eaae3ee3ac -> trunk/009ea77234788b29910b1205679036eaae3ee3ac
2025-11-03T16:15:36.7093662Z  * [new tag]                 trunk/0187db88d463905e5f7dcdf7689519e2807e5a12 -> trunk/0187db88d463905e5f7dcdf7689519e2807e5a12
2025-11-03T16:15:36.7094350Z  * [new tag]                 trunk/02095cc09db01f1fecae436ac1a6ecdf2cfca0db -> trunk/02095cc09db01f1fecae436ac1a6ecdf2cfca0db
2025-11-03T16:15:36.7095022Z  * [new tag]                 trunk/030de07affa347a80fa9f11ab8e9234fc6d7fd4d -> trunk/030de07affa347a80fa9f11ab8e9234fc6d7fd4d
2025-11-03T16:15:36.7095453Z  * [new tag]                 trunk/034e951b0cfb02d7b55327cd482e58cf2695dca0 -> trunk/034e951b0cfb02d7b55327cd482e58cf2695dca0
2025-11-03T16:15:36.7096106Z  * [new tag]                 trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12 -> trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12
2025-11-03T16:15:36.7096533Z  * [new tag]                 trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445 -> trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445
2025-11-03T16:15:36.7097243Z  * [new tag]                 trunk/061fa73c97dcfcb39077ce8fc4042e7f22824b22 -> trunk/061fa73c97dcfcb39077ce8fc4042e7f22824b22
2025-11-03T16:15:36.7098117Z  * [new tag]                 trunk/0674e0a0f14775f920296e9dfb8b61e4960bf99d -> trunk/0674e0a0f14775f920296e9dfb8b61e4960bf99d
2025-11-03T16:15:36.7098408Z  * [new tag]                 trunk/06e71c85583d9857f716b441eef9db40d3f27a39 -> trunk/06e71c85583d9857f716b441eef9db40d3f27a39
2025-11-03T16:15:36.7099443Z  * [new tag]                 trunk/08ae55021eafba28b304e78ef2da9a76741ce039 -> trunk/08ae55021eafba28b304e78ef2da9a76741ce039
2025-11-03T16:15:36.7099963Z  * [new tag]                 trunk/08b0a8f11a00e0442bd3b3066617a501dca29876 -> trunk/08b0a8f11a00e0442bd3b3066617a501dca29876
2025-11-03T16:15:36.7100705Z  * [new tag]                 trunk/08f4535378b9ab5c7ba74828bb20ad535e6de8eb -> trunk/08f4535378b9ab5c7ba74828bb20ad535e6de8eb
2025-11-03T16:15:36.7100985Z  * [new tag]                 trunk/0918bf321c2cfaebb91c5f9e5f0ebe462962328e -> trunk/0918bf321c2cfaebb91c5f9e5f0ebe462962328e
2025-11-03T16:15:36.7101643Z  * [new tag]                 trunk/0947765eb9208996f221dbcb088df800be3953d7 -> trunk/0947765eb9208996f221dbcb088df800be3953d7
2025-11-03T16:15:36.7102221Z  * [new tag]                 trunk/0a3ac47c0a36d7ed619e6577294648a7c14b1ae1 -> trunk/0a3ac47c0a36d7ed619e6577294648a7c14b1ae1
2025-11-03T16:15:36.7102791Z  * [new tag]                 trunk/0ae3e306217a67362371267bbba0ac3fa0855fdc -> trunk/0ae3e306217a67362371267bbba0ac3fa0855fdc
2025-11-03T16:15:36.7103420Z  * [new tag]                 trunk/0d3a4f7155508656bd928527840ed155e8b1a88b -> trunk/0d3a4f7155508656bd928527840ed155e8b1a88b
2025-11-03T16:15:36.7104044Z  * [new tag]                 trunk/0d4992c1702d9d14bc73c29d44029adb7e698eba -> trunk/0d4992c1702d9d14bc73c29d44029adb7e698eba
2025-11-03T16:15:36.7104633Z  * [new tag]                 trunk/0d50e5d8d4132cb09508b3e35701e7b06433420e -> trunk/0d50e5d8d4132cb09508b3e35701e7b06433420e
2025-11-03T16:15:36.7105442Z  * [new tag]                 trunk/0d81bb7f9cef1b735ff373a245aaa2bc037b31b0 -> trunk/0d81bb7f9cef1b735ff373a245aaa2bc037b31b0
2025-11-03T16:15:36.7105939Z  * [new tag]                 trunk/0e19561e235372a3fbed81338fa4e674116c0448 -> trunk/0e19561e235372a3fbed81338fa4e674116c0448
2025-11-03T16:15:36.7106457Z  * [new tag]                 trunk/0e46a10aa7cf69354a0a0cbd268506b53a7cc882 -> trunk/0e46a10aa7cf69354a0a0cbd268506b53a7cc882
2025-11-03T16:15:36.7107146Z  * [new tag]                 trunk/0eacd934bc1c1bee002fcd084300d596d789d166 -> trunk/0eacd934bc1c1bee002fcd084300d596d789d166
2025-11-03T16:15:36.7107700Z  * [new tag]                 trunk/0ec054982304473b51e6ded40c2dc3993d4036be -> trunk/0ec054982304473b51e6ded40c2dc3993d4036be
2025-11-03T16:15:36.7108951Z  * [new tag]                 trunk/108bb224f77842593009214ebf6258030b934642 -> trunk/108bb224f77842593009214ebf6258030b934642
2025-11-03T16:15:36.7109362Z  * [new tag]                 trunk/110efe4df4759006ce5aad4ae1b87d93dcf33c3b -> trunk/110efe4df4759006ce5aad4ae1b87d93dcf33c3b
2025-11-03T16:15:36.7109895Z  * [new tag]                 trunk/112960541529ab0d27bb8aa8b487ef194e048494 -> trunk/112960541529ab0d27bb8aa8b487ef194e048494
2025-11-03T16:15:36.7110729Z  * [new tag]                 trunk/121235956bab7430fb8d080cee209607f8387ead -> trunk/121235956bab7430fb8d080cee209607f8387ead
2025-11-03T16:15:36.7111357Z  * [new tag]                 trunk/12577064dddfc6f5daf66c5b5a73cb418a588f20 -> trunk/12577064dddfc6f5daf66c5b5a73cb418a588f20
2025-11-03T16:15:36.7111931Z  * [new tag]                 trunk/12c12466b082834d23c1f512130da9280badfd28 -> trunk/12c12466b082834d23c1f512130da9280badfd28
2025-11-03T16:15:36.7112751Z  * [new tag]                 trunk/13413b3b07cc72fa9c2671b2535f7e54c1b30ca2 -> trunk/13413b3b07cc72fa9c2671b2535f7e54c1b30ca2
2025-11-03T16:15:36.7113373Z  * [new tag]                 trunk/13549e0e105291721f6f80ceb8f520ca272b971d -> trunk/13549e0e105291721f6f80ceb8f520ca272b971d
2025-11-03T16:15:36.7113920Z  * [new tag]                 trunk/14102fb1f337d01ca61584011f5f657d14da5de6 -> trunk/14102fb1f337d01ca61584011f5f657d14da5de6
2025-11-03T16:15:36.7114498Z  * [new tag]                 trunk/1425b40f29ab11ce21f7a98de9e35551213efe27 -> trunk/1425b40f29ab11ce21f7a98de9e35551213efe27
2025-11-03T16:15:36.7115074Z  * [new tag]                 trunk/14d4a77495dc80da9cd7c5c29b21aaf4613ddc5b -> trunk/14d4a77495dc80da9cd7c5c29b21aaf4613ddc5b
2025-11-03T16:15:36.7115686Z  * [new tag]                 trunk/160ab53dd57e67b3574763615cf8b33249e9afa5 -> trunk/160ab53dd57e67b3574763615cf8b33249e9afa5
2025-11-03T16:15:36.7116191Z  * [new tag]                 trunk/16212f0d6bc1c4fb6ac0498badbe2fb74d5ff47b -> trunk/16212f0d6bc1c4fb6ac0498badbe2fb74d5ff47b
2025-11-03T16:15:36.7117001Z  * [new tag]                 trunk/1656b253c5fcc34a53a9991303170892c6d90c1d -> trunk/1656b253c5fcc34a53a9991303170892c6d90c1d
2025-11-03T16:15:36.7117480Z  * [new tag]                 trunk/173bcda436e9a00aa8215a414efc0c06cf4840a8 -> trunk/173bcda436e9a00aa8215a414efc0c06cf4840a8
2025-11-03T16:15:36.7118177Z  * [new tag]                 trunk/1764f3a9c8eea4cf0aba853348446948597b7b78 -> trunk/1764f3a9c8eea4cf0aba853348446948597b7b78
2025-11-03T16:15:36.7118811Z  * [new tag]                 trunk/17bdb232e1b3df3435fc6f54d3d713404ba96726 -> trunk/17bdb232e1b3df3435fc6f54d3d713404ba96726
2025-11-03T16:15:36.7119410Z  * [new tag]                 trunk/17d5aa47674c5195a3d4919169fb6a334598e2a6 -> trunk/17d5aa47674c5195a3d4919169fb6a334598e2a6
2025-11-03T16:15:36.7119967Z  * [new tag]                 trunk/181ee3bd42447b71a1a8435bf16c0877c4bc3ae7 -> trunk/181ee3bd42447b71a1a8435bf16c0877c4bc3ae7
2025-11-03T16:15:36.7120414Z  * [new tag]                 trunk/18f425962656f009e151944d12f76e2f856b85df -> trunk/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:15:36.7121164Z  * [new tag]                 trunk/1abfa5f70b9aa0dcbd83dc40b092dda1cdcc7805 -> trunk/1abfa5f70b9aa0dcbd83dc40b092dda1cdcc7805
2025-11-03T16:15:36.7121725Z  * [new tag]                 trunk/1aef88c72d3aef629b20e97a188c9dc4bab46a1a -> trunk/1aef88c72d3aef629b20e97a188c9dc4bab46a1a
2025-11-03T16:15:36.7122313Z  * [new tag]                 trunk/1b655a87ef137d2cc9603a982532c5e033432daa -> trunk/1b655a87ef137d2cc9603a982532c5e033432daa
2025-11-03T16:15:36.7122910Z  * [new tag]                 trunk/1c4ced2eafa470832f2f4e24487785c5b7b188c9 -> trunk/1c4ced2eafa470832f2f4e24487785c5b7b188c9
2025-11-03T16:15:36.7123580Z  * [new tag]                 trunk/1dd6b76914397d466a7d9bfff551b6d8299fdce4 -> trunk/1dd6b76914397d466a7d9bfff551b6d8299fdce4
2025-11-03T16:15:36.7124073Z  * [new tag]                 trunk/1dec8a67a8dc88736e9c476a3eaee301684094cd -> trunk/1dec8a67a8dc88736e9c476a3eaee301684094cd
2025-11-03T16:15:36.7124749Z  * [new tag]                 trunk/1e3600b5287346b29a835ad67f8b33945e0ec698 -> trunk/1e3600b5287346b29a835ad67f8b33945e0ec698
2025-11-03T16:15:36.7125365Z  * [new tag]                 trunk/1e836bc769f9cfabc7659a172b8c2edee7c375d3 -> trunk/1e836bc769f9cfabc7659a172b8c2edee7c375d3
2025-11-03T16:15:36.7126001Z  * [new tag]                 trunk/1fa520ea654f5fc0b3c65ce6e056dd73442dd65d -> trunk/1fa520ea654f5fc0b3c65ce6e056dd73442dd65d
2025-11-03T16:15:36.7126505Z  * [new tag]                 trunk/1fdef664a5dffc3bd3d9eba9d78ed458a5f9dbcb -> trunk/1fdef664a5dffc3bd3d9eba9d78ed458a5f9dbcb
2025-11-03T16:15:36.7127982Z  * [new tag]                 trunk/20be077085daf739af76325d04f649dcd908316c -> trunk/20be077085daf739af76325d04f649dcd908316c
2025-11-03T16:15:36.7128255Z  * [new tag]                 trunk/21b48f8dfa7685699df4c97c0ba373d5364230d9 -> trunk/21b48f8dfa7685699df4c97c0ba373d5364230d9
2025-11-03T16:15:36.7128509Z  * [new tag]                 trunk/23669d02a67023ef3192f7dca0ac0547436cae50 -> trunk/23669d02a67023ef3192f7dca0ac0547436cae50
2025-11-03T16:15:36.7129025Z  * [new tag]                 trunk/236ce736a1a84352b21b564e3e5b0be833d7c10c -> trunk/236ce736a1a84352b21b564e3e5b0be833d7c10c
2025-11-03T16:15:36.7129516Z  * [new tag]                 trunk/239e7b541a94d16a33a4a48d3edc9a561777d86a -> trunk/239e7b541a94d16a33a4a48d3edc9a561777d86a
2025-11-03T16:15:36.7133939Z  * [new tag]                 trunk/23b57a445c6394d46a6b46e32b7787663f40d13b -> trunk/23b57a445c6394d46a6b46e32b7787663f40d13b
2025-11-03T16:15:36.7134259Z  * [new tag]                 trunk/24b6eb7727f7eef078f9366302f2aa3e1fef1db4 -> trunk/24b6eb7727f7eef078f9366302f2aa3e1fef1db4
2025-11-03T16:15:36.7134520Z  * [new tag]                 trunk/24e94e021a5a96bf16397ea66243070a7be4aaef -> trunk/24e94e021a5a96bf16397ea66243070a7be4aaef
2025-11-03T16:15:36.7134784Z  * [new tag]                 trunk/26534e9809eb2f7cd804fde5152cdd13dda2293f -> trunk/26534e9809eb2f7cd804fde5152cdd13dda2293f
2025-11-03T16:15:36.7135033Z  * [new tag]                 trunk/267d0197bfca0232488d51dd1ff735d619adc2cf -> trunk/267d0197bfca0232488d51dd1ff735d619adc2cf
2025-11-03T16:15:36.7135293Z  * [new tag]                 trunk/2699f5410b6802277db724f145c281814d6c9ac4 -> trunk/2699f5410b6802277db724f145c281814d6c9ac4
2025-11-03T16:15:36.7135555Z  * [new tag]                 trunk/2829d48bd113043a98e81b4ab7fa0f3ca9ae0072 -> trunk/2829d48bd113043a98e81b4ab7fa0f3ca9ae0072
2025-11-03T16:15:36.7135998Z  * [new tag]                 trunk/284716a691580cf0508a7c5a4f9f7306a32092ad -> trunk/284716a691580cf0508a7c5a4f9f7306a32092ad
2025-11-03T16:15:36.7136243Z  * [new tag]                 trunk/298666631baa6634666ac4dd4599f1d52bafa718 -> trunk/298666631baa6634666ac4dd4599f1d52bafa718
2025-11-03T16:15:36.7136511Z  * [new tag]                 trunk/2a058bfecf4f4a47927b4eaae9324c4999a8a794 -> trunk/2a058bfecf4f4a47927b4eaae9324c4999a8a794
2025-11-03T16:15:36.7137619Z  * [new tag]                 trunk/2a5f87decf34b3d0ea7670238e2fd4620ed19e9f -> trunk/2a5f87decf34b3d0ea7670238e2fd4620ed19e9f
2025-11-03T16:15:36.7137893Z  * [new tag]                 trunk/2c9f877fa71c90a1313deeda4b4486d37e72a8a9 -> trunk/2c9f877fa71c90a1313deeda4b4486d37e72a8a9
2025-11-03T16:15:36.7138165Z  * [new tag]                 trunk/2ce894bb1d3e9698306b87091c900a72acac75ea -> trunk/2ce894bb1d3e9698306b87091c900a72acac75ea
2025-11-03T16:15:36.7138588Z  * [new tag]                 trunk/2dc56456cbb2645c37c3176b7d9a263933bdec27 -> trunk/2dc56456cbb2645c37c3176b7d9a263933bdec27
2025-11-03T16:15:36.7139192Z  * [new tag]                 trunk/2de4cf2102fdc35da00cc8070fdbcaf57198a576 -> trunk/2de4cf2102fdc35da00cc8070fdbcaf57198a576
2025-11-03T16:15:36.7139774Z  * [new tag]                 trunk/2df2c316e2929519a5bad029936e9e37ed637b12 -> trunk/2df2c316e2929519a5bad029936e9e37ed637b12
2025-11-03T16:15:36.7140512Z  * [new tag]                 trunk/30157d30f0e0db6a4fa7a2a3ea75e515645e36de -> trunk/30157d30f0e0db6a4fa7a2a3ea75e515645e36de
2025-11-03T16:15:36.7141253Z  * [new tag]                 trunk/3041ede082d3b0f33bec0cef5062eabc5173b446 -> trunk/3041ede082d3b0f33bec0cef5062eabc5173b446
2025-11-03T16:15:36.7142003Z  * [new tag]                 trunk/311ea0dec0c50f395e6dac7b3875e81ee243fceb -> trunk/311ea0dec0c50f395e6dac7b3875e81ee243fceb
2025-11-03T16:15:36.7142402Z  * [new tag]                 trunk/31e42eb732d32e71c9954d6b2104cf1d129370d5 -> trunk/31e42eb732d32e71c9954d6b2104cf1d129370d5
2025-11-03T16:15:36.7146267Z  * [new tag]                 trunk/32066772b3dee643b1657b8957f32b5ac8b1390a -> trunk/32066772b3dee643b1657b8957f32b5ac8b1390a
2025-11-03T16:15:36.7146535Z  * [new tag]                 trunk/32920926f07e573083ecf81a40c898f47f4df631 -> trunk/32920926f07e573083ecf81a40c898f47f4df631
2025-11-03T16:15:36.7146809Z  * [new tag]                 trunk/32fe4f681e2bfb2fdecf20027e29e1aeb6ad5297 -> trunk/32fe4f681e2bfb2fdecf20027e29e1aeb6ad5297
2025-11-03T16:15:36.7147058Z  * [new tag]                 trunk/335b5c7d4bf3295d517902370142f007ca024cd0 -> trunk/335b5c7d4bf3295d517902370142f007ca024cd0
2025-11-03T16:15:36.7147312Z  * [new tag]                 trunk/34d6ef7022be252ce18a9673f75eed1732dff22a -> trunk/34d6ef7022be252ce18a9673f75eed1732dff22a
2025-11-03T16:15:36.7147577Z  * [new tag]                 trunk/35f3572fa483a8edb101d5765564e1ae274f3d45 -> trunk/35f3572fa483a8edb101d5765564e1ae274f3d45
2025-11-03T16:15:36.7147838Z  * [new tag]                 trunk/365ed62f61dde7fc14dca2199692555e5d1abbe1 -> trunk/365ed62f61dde7fc14dca2199692555e5d1abbe1
2025-11-03T16:15:36.7148101Z  * [new tag]                 trunk/369f2d6951d4c12571eb03b95d74ef2f21296847 -> trunk/369f2d6951d4c12571eb03b95d74ef2f21296847
2025-11-03T16:15:36.7148376Z  * [new tag]                 trunk/36a48e7e6d2d01cd47f002140589a1ac2580ef3f -> trunk/36a48e7e6d2d01cd47f002140589a1ac2580ef3f
2025-11-03T16:15:36.7149718Z  * [new tag]                 trunk/3895ce093f3e71b768d032a28a949a9f390c0d00 -> trunk/3895ce093f3e71b768d032a28a949a9f390c0d00
2025-11-03T16:15:36.7150146Z  * [new tag]                 trunk/392acee68a5ca90279109df023583edaef73d50f -> trunk/392acee68a5ca90279109df023583edaef73d50f
2025-11-03T16:15:36.7151457Z  * [new tag]                 trunk/398775a43e9808205f75c81d36f5087117d3f3f4 -> trunk/398775a43e9808205f75c81d36f5087117d3f3f4
2025-11-03T16:15:36.7151742Z  * [new tag]                 trunk/398fdd32bbf7b5f8a2b67e637c8a2e46572d9f28 -> trunk/398fdd32bbf7b5f8a2b67e637c8a2e46572d9f28
2025-11-03T16:15:36.7151996Z  * [new tag]                 trunk/39e5cdddf7e57881c52473d1288a66f0222527e1 -> trunk/39e5cdddf7e57881c52473d1288a66f0222527e1
2025-11-03T16:15:36.7152379Z  * [new tag]                 trunk/3b4315940d371385674f957f810cb0f1ca0060bd -> trunk/3b4315940d371385674f957f810cb0f1ca0060bd
2025-11-03T16:15:36.7153009Z  * [new tag]                 trunk/3b5d38a3bc55c32232cee8cf87e492c965f276fd -> trunk/3b5d38a3bc55c32232cee8cf87e492c965f276fd
2025-11-03T16:15:36.7153670Z  * [new tag]                 trunk/3ca216ae172e35adde34a319a1a01faaf218e7c5 -> trunk/3ca216ae172e35adde34a319a1a01faaf218e7c5
2025-11-03T16:15:36.7154353Z  * [new tag]                 trunk/3cc5949dc2c6e588d42cff36121819a8539902a7 -> trunk/3cc5949dc2c6e588d42cff36121819a8539902a7
2025-11-03T16:15:36.7154901Z  * [new tag]                 trunk/3d4a2d8a93ad57e9fd1c4e5a03dd431dd0123bb3 -> trunk/3d4a2d8a93ad57e9fd1c4e5a03dd431dd0123bb3
2025-11-03T16:15:36.7155535Z  * [new tag]                 trunk/3d4ca228beb851e2f1cc24d8300804d5884973c1 -> trunk/3d4ca228beb851e2f1cc24d8300804d5884973c1
2025-11-03T16:15:36.7156173Z  * [new tag]                 trunk/3dc92d69ed40fd952244e54bbda0240928756654 -> trunk/3dc92d69ed40fd952244e54bbda0240928756654
2025-11-03T16:15:36.7156756Z  * [new tag]                 trunk/3eddf049221fc04c2ac9d4af53c00305484ef325 -> trunk/3eddf049221fc04c2ac9d4af53c00305484ef325
2025-11-03T16:15:36.7157469Z  * [new tag]                 trunk/3f1824742cac2ffb9a3afd90953c492c6c7f2f50 -> trunk/3f1824742cac2ffb9a3afd90953c492c6c7f2f50
2025-11-03T16:15:36.7157913Z  * [new tag]                 trunk/3f5401020b3fd66238a5eda31576b898d086e14e -> trunk/3f5401020b3fd66238a5eda31576b898d086e14e
2025-11-03T16:15:36.7158511Z  * [new tag]                 trunk/3f6538febd727b782e6e13cfd026a309fb14351d -> trunk/3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:15:36.7159071Z  * [new tag]                 trunk/3f69b4d9b46b1de627896c457bce1937e53d82e5 -> trunk/3f69b4d9b46b1de627896c457bce1937e53d82e5
2025-11-03T16:15:36.7159661Z  * [new tag]                 trunk/401c2f965726fda8f78b08f3745e11008b38e7bf -> trunk/401c2f965726fda8f78b08f3745e11008b38e7bf
2025-11-03T16:15:36.7160081Z  * [new tag]                 trunk/4295a9a1587cc62a3ef4ad9b1e552c78471d5664 -> trunk/4295a9a1587cc62a3ef4ad9b1e552c78471d5664
2025-11-03T16:15:36.7162647Z  * [new tag]                 trunk/4316df857c9e7f301142eb54d06a85a43f8d617b -> trunk/4316df857c9e7f301142eb54d06a85a43f8d617b
2025-11-03T16:15:36.7162940Z  * [new tag]                 trunk/43c30f607eeca0d3e9a26911d9c2131fc250eadd -> trunk/43c30f607eeca0d3e9a26911d9c2131fc250eadd
2025-11-03T16:15:36.7163194Z  * [new tag]                 trunk/45c3f02d69b0a8447381fbc3f3f8731ab0d48ed1 -> trunk/45c3f02d69b0a8447381fbc3f3f8731ab0d48ed1
2025-11-03T16:15:36.7163464Z  * [new tag]                 trunk/467c21ad9ae4133c20a3c098a0355e9ac20d48aa -> trunk/467c21ad9ae4133c20a3c098a0355e9ac20d48aa
2025-11-03T16:15:36.7163732Z  * [new tag]                 trunk/46d17e887150c5de8a74314b6d9fcba1feca259b -> trunk/46d17e887150c5de8a74314b6d9fcba1feca259b
2025-11-03T16:15:36.7163985Z  * [new tag]                 trunk/476b149a00cf52ceba2b2d8b6e14989d2bf540e2 -> trunk/476b149a00cf52ceba2b2d8b6e14989d2bf540e2
2025-11-03T16:15:36.7164577Z  * [new tag]                 trunk/47ec1e9990b89bf9705dc463cad587bd357bc848 -> trunk/47ec1e9990b89bf9705dc463cad587bd357bc848
2025-11-03T16:15:36.7164993Z  * [new tag]                 trunk/47f00243106918eec3ef9119272977fdf2864ad8 -> trunk/47f00243106918eec3ef9119272977fdf2864ad8
2025-11-03T16:15:36.7168570Z  * [new tag]                 trunk/47f50cfd456313d8b46fcc7a1f6de477aa0a5aee -> trunk/47f50cfd456313d8b46fcc7a1f6de477aa0a5aee
2025-11-03T16:15:36.7169000Z  * [new tag]                 trunk/483845a9c42267a6a139b7382e5ee340502376f8 -> trunk/483845a9c42267a6a139b7382e5ee340502376f8
2025-11-03T16:15:36.7169316Z  * [new tag]                 trunk/48c3b71ecc245cb422ec9ab4c7a2078f7ef0b3df -> trunk/48c3b71ecc245cb422ec9ab4c7a2078f7ef0b3df
2025-11-03T16:15:36.7169575Z  * [new tag]                 trunk/48e672d14994c912caccba0c7f2f5df54c0d86b3 -> trunk/48e672d14994c912caccba0c7f2f5df54c0d86b3
2025-11-03T16:15:36.7169989Z  * [new tag]                 trunk/4a7bc1d522bed4f3f792b4641372ec3d06b79b5d -> trunk/4a7bc1d522bed4f3f792b4641372ec3d06b79b5d
2025-11-03T16:15:36.7170248Z  * [new tag]                 trunk/4a7fefd7c783913b811f49e5d6242086758dca6c -> trunk/4a7fefd7c783913b811f49e5d6242086758dca6c
2025-11-03T16:15:36.7170506Z  * [new tag]                 trunk/4a94591321a62b31658f9259680de87e4be9e50d -> trunk/4a94591321a62b31658f9259680de87e4be9e50d
2025-11-03T16:15:36.7170759Z  * [new tag]                 trunk/4acc66f1192ab7743abcc50383aefc5447447f9d -> trunk/4acc66f1192ab7743abcc50383aefc5447447f9d
2025-11-03T16:15:36.7171331Z  * [new tag]                 trunk/4c38887346b6a6185bb3e170621dc13d5f34e9ce -> trunk/4c38887346b6a6185bb3e170621dc13d5f34e9ce
2025-11-03T16:15:36.7171992Z  * [new tag]                 trunk/4cc64d62346edb2e13320f20740f41ba41f64c70 -> trunk/4cc64d62346edb2e13320f20740f41ba41f64c70
2025-11-03T16:15:36.7172907Z  * [new tag]                 trunk/4e6afa8c07b73e0b339e3baacbc73102748e61dd -> trunk/4e6afa8c07b73e0b339e3baacbc73102748e61dd
2025-11-03T16:15:36.7173169Z  * [new tag]                 trunk/4e7232c5daf753e04e8f4189229e3c33888a33e5 -> trunk/4e7232c5daf753e04e8f4189229e3c33888a33e5
2025-11-03T16:15:36.7173897Z  * [new tag]                 trunk/4e8ba37ce3320cac033019131b817b4aca29699b -> trunk/4e8ba37ce3320cac033019131b817b4aca29699b
2025-11-03T16:15:36.7174519Z  * [new tag]                 trunk/4fada51ada8b3190971f2f47d97346057320866a -> trunk/4fada51ada8b3190971f2f47d97346057320866a
2025-11-03T16:15:36.7175086Z  * [new tag]                 trunk/5016e7b2eb73589e35c7a8f0f0ea3bfba221f17d -> trunk/5016e7b2eb73589e35c7a8f0f0ea3bfba221f17d
2025-11-03T16:15:36.7175870Z  * [new tag]                 trunk/51667435f50c025ca3655ff0eeb917b4ef0ffb78 -> trunk/51667435f50c025ca3655ff0eeb917b4ef0ffb78
2025-11-03T16:15:36.7176373Z  * [new tag]                 trunk/52db60170dd192afa48233f03574a8d8bcd39d35 -> trunk/52db60170dd192afa48233f03574a8d8bcd39d35
2025-11-03T16:15:36.7178092Z  * [new tag]                 trunk/544b443ea1d1a9b19e65f981168a01cb87a2d333 -> trunk/544b443ea1d1a9b19e65f981168a01cb87a2d333
2025-11-03T16:15:36.7178636Z  * [new tag]                 trunk/551921d484d209e9a95d77262b1472bc1d18422d -> trunk/551921d484d209e9a95d77262b1472bc1d18422d
2025-11-03T16:15:36.7179028Z  * [new tag]                 trunk/56838bad5f197d32c0ee77ce2eaa7a0cb462af68 -> trunk/56838bad5f197d32c0ee77ce2eaa7a0cb462af68
2025-11-03T16:15:36.7179314Z  * [new tag]                 trunk/56a809aa0765ec2edea57ab37f92b1e78a214dcc -> trunk/56a809aa0765ec2edea57ab37f92b1e78a214dcc
2025-11-03T16:15:36.7179739Z  * [new tag]                 trunk/56afad4eb300be2008d8b24581bcddcd62021036 -> trunk/56afad4eb300be2008d8b24581bcddcd62021036
2025-11-03T16:15:36.7180021Z  * [new tag]                 trunk/572cc12b42f6edf76affd45ea9a23f4c8db5c7e1 -> trunk/572cc12b42f6edf76affd45ea9a23f4c8db5c7e1
2025-11-03T16:15:36.7180668Z  * [new tag]                 trunk/5849eea129b47556630aac4276529afe287b91e1 -> trunk/5849eea129b47556630aac4276529afe287b91e1
2025-11-03T16:15:36.7181329Z  * [new tag]                 trunk/59ddfb69a731970bf5762fbea43ff2987425d3ea -> trunk/59ddfb69a731970bf5762fbea43ff2987425d3ea
2025-11-03T16:15:36.7182206Z  * [new tag]                 trunk/5a3930abbc19eac9a179455df82e206e69765ed2 -> trunk/5a3930abbc19eac9a179455df82e206e69765ed2
2025-11-03T16:15:36.7182809Z  * [new tag]                 trunk/5bcfdae71da2f405a89bace6b09d616107cc3965 -> trunk/5bcfdae71da2f405a89bace6b09d616107cc3965
2025-11-03T16:15:36.7184105Z  * [new tag]                 trunk/5cbdade914d6bc9f67827ef917974980a74e9372 -> trunk/5cbdade914d6bc9f67827ef917974980a74e9372
2025-11-03T16:15:36.7184384Z  * [new tag]                 trunk/5cdbcb52334222d1a2667dabd6da993d1e9ddc93 -> trunk/5cdbcb52334222d1a2667dabd6da993d1e9ddc93
2025-11-03T16:15:36.7184642Z  * [new tag]                 trunk/5d0b3e28dc18fac3c09edb24078998371f878f82 -> trunk/5d0b3e28dc18fac3c09edb24078998371f878f82
2025-11-03T16:15:36.7185465Z  * [new tag]                 trunk/5d288bc3f73873887f681e15af83c5525e6a60bd -> trunk/5d288bc3f73873887f681e15af83c5525e6a60bd
2025-11-03T16:15:36.7186321Z  * [new tag]                 trunk/5d6230779d920e9c449c22d22fd0f69fe7b73632 -> trunk/5d6230779d920e9c449c22d22fd0f69fe7b73632
2025-11-03T16:15:36.7186588Z  * [new tag]                 trunk/5e05a0ae99c320bc570a3a42c5fcd6bbf2b2e9b4 -> trunk/5e05a0ae99c320bc570a3a42c5fcd6bbf2b2e9b4
2025-11-03T16:15:36.7193132Z  * [new tag]                 trunk/5e7272b60a5d7203fd1d048ecac6f202526cac63 -> trunk/5e7272b60a5d7203fd1d048ecac6f202526cac63
2025-11-03T16:15:36.7193835Z  * [new tag]                 trunk/5e769ff86780a7ffd561615dbf4b0defe80cfbb9 -> trunk/5e769ff86780a7ffd561615dbf4b0defe80cfbb9
2025-11-03T16:15:36.7194265Z  * [new tag]                 trunk/5ebf74a655b3335fb079ee03f41228a77bcc630e -> trunk/5ebf74a655b3335fb079ee03f41228a77bcc630e
2025-11-03T16:15:36.7199500Z  * [new tag]                 trunk/5fc2c7a2a11444c31338da9134452810f3ca8acd -> trunk/5fc2c7a2a11444c31338da9134452810f3ca8acd
2025-11-03T16:15:36.7199749Z  * [new tag]                 trunk/5fd1d41e62ce4436c2bb08c7f4702df0021e2c62 -> trunk/5fd1d41e62ce4436c2bb08c7f4702df0021e2c62
2025-11-03T16:15:36.7199995Z  * [new tag]                 trunk/60333de85dec845d6a0e651764c16a730a27828d -> trunk/60333de85dec845d6a0e651764c16a730a27828d
2025-11-03T16:15:36.7200223Z  * [new tag]                 trunk/6096c0fc746dc99189510a1845fd45c667178c03 -> trunk/6096c0fc746dc99189510a1845fd45c667178c03
2025-11-03T16:15:36.7200466Z  * [new tag]                 trunk/60bcb4ee8844e7bac7278ff662c7d5735a326758 -> trunk/60bcb4ee8844e7bac7278ff662c7d5735a326758
2025-11-03T16:15:36.7200699Z  * [new tag]                 trunk/610c09f8f47585e811945e48abc895f88e09bda3 -> trunk/610c09f8f47585e811945e48abc895f88e09bda3
2025-11-03T16:15:36.7201068Z  * [new tag]                 trunk/61bad3c1ea718311d7c256b05614d207d73276e8 -> trunk/61bad3c1ea718311d7c256b05614d207d73276e8
2025-11-03T16:15:36.7203695Z  * [new tag]                 trunk/61bcc8d75ad065a40b2d7953046616d5979233b9 -> trunk/61bcc8d75ad065a40b2d7953046616d5979233b9
2025-11-03T16:15:36.7203946Z  * [new tag]                 trunk/6268883f9c081b88b611ef01be3821503ad180ca -> trunk/6268883f9c081b88b611ef01be3821503ad180ca
2025-11-03T16:15:36.7204183Z  * [new tag]                 trunk/629293f568229adaf60cdaf57fe69306d7782c2d -> trunk/629293f568229adaf60cdaf57fe69306d7782c2d
2025-11-03T16:15:36.7204422Z  * [new tag]                 trunk/639a0b12395e72a8a220dc8443317f4ab3b3f1a0 -> trunk/639a0b12395e72a8a220dc8443317f4ab3b3f1a0
2025-11-03T16:15:36.7204678Z  * [new tag]                 trunk/6530bc70fbc7d600ab0e600c02ecd9b341ce8237 -> trunk/6530bc70fbc7d600ab0e600c02ecd9b341ce8237
2025-11-03T16:15:36.7204945Z  * [new tag]                 trunk/657f8c3e21bd8901dd8ce79ca9a54a45b27f604f -> trunk/657f8c3e21bd8901dd8ce79ca9a54a45b27f604f
2025-11-03T16:15:36.7207569Z  * [new tag]                 trunk/65868156c613521e9635eb3f8eb3f404826ac1f9 -> trunk/65868156c613521e9635eb3f8eb3f404826ac1f9
2025-11-03T16:15:36.7208048Z  * [new tag]                 trunk/687c15c0b3f01118536413d21efcd052838fa10d -> trunk/687c15c0b3f01118536413d21efcd052838fa10d
2025-11-03T16:15:36.7208342Z  * [new tag]                 trunk/68b3984b77a19ed2b2afcbcae201e8b06e20f8bc -> trunk/68b3984b77a19ed2b2afcbcae201e8b06e20f8bc
2025-11-03T16:15:36.7208596Z  * [new tag]                 trunk/694d205143b03cb26626cb86ecb399df6d5e3dd8 -> trunk/694d205143b03cb26626cb86ecb399df6d5e3dd8
2025-11-03T16:15:36.7208855Z  * [new tag]                 trunk/694db5f54927697c9e914d35029f7e5bd9b85b96 -> trunk/694db5f54927697c9e914d35029f7e5bd9b85b96
2025-11-03T16:15:36.7209108Z  * [new tag]                 trunk/695cb0d342f67db563fb57ce1a5f3261b073b790 -> trunk/695cb0d342f67db563fb57ce1a5f3261b073b790
2025-11-03T16:15:36.7209406Z  * [new tag]                 trunk/69be99ee51bd0439fead4c83d1ed3eea9e1e073e -> trunk/69be99ee51bd0439fead4c83d1ed3eea9e1e073e
2025-11-03T16:15:36.7209678Z  * [new tag]                 trunk/69fb3ebb5dbec0bd4cfd73cc9a6c870b7f604840 -> trunk/69fb3ebb5dbec0bd4cfd73cc9a6c870b7f604840
2025-11-03T16:15:36.7211876Z  * [new tag]                 trunk/6a5a436624d08feff1de191e61eb4d4773f73bdb -> trunk/6a5a436624d08feff1de191e61eb4d4773f73bdb
2025-11-03T16:15:36.7212252Z  * [new tag]                 trunk/6c7cad697287dff7e47545ae4b1df1e407185868 -> trunk/6c7cad697287dff7e47545ae4b1df1e407185868
2025-11-03T16:15:36.7212528Z  * [new tag]                 trunk/6d5e651a5024acdbaf9633d9d1d9dc33c6a283c5 -> trunk/6d5e651a5024acdbaf9633d9d1d9dc33c6a283c5
2025-11-03T16:15:36.7212791Z  * [new tag]                 trunk/6ecd6b23b6d2ab17da269ceebe9f944153f67083 -> trunk/6ecd6b23b6d2ab17da269ceebe9f944153f67083
2025-11-03T16:15:36.7213181Z  * [new tag]                 trunk/7045aab143b6d89c2e7de11bc8cbf919d8fd78d0 -> trunk/7045aab143b6d89c2e7de11bc8cbf919d8fd78d0
2025-11-03T16:15:36.7214046Z  * [new tag]                 trunk/70aeb491987401a380914a72c1b9d19e4c882429 -> trunk/70aeb491987401a380914a72c1b9d19e4c882429
2025-11-03T16:15:36.7214337Z  * [new tag]                 trunk/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a -> trunk/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a
2025-11-03T16:15:36.7214682Z  * [new tag]                 trunk/73da7a40b6dd0509b179f0ca92d9fa79973ee306 -> trunk/73da7a40b6dd0509b179f0ca92d9fa79973ee306
2025-11-03T16:15:36.7214951Z  * [new tag]                 trunk/74336f8c77f1a906314c274e43239306c8077e90 -> trunk/74336f8c77f1a906314c274e43239306c8077e90
2025-11-03T16:15:36.7215205Z  * [new tag]                 trunk/748162223768fb9f7daaca1f7f93d0bc37be4de9 -> trunk/748162223768fb9f7daaca1f7f93d0bc37be4de9
2025-11-03T16:15:36.7215446Z  * [new tag]                 trunk/753d9bd8063356c0e31517ef9aabd814efd754c5 -> trunk/753d9bd8063356c0e31517ef9aabd814efd754c5
2025-11-03T16:15:36.7215773Z  * [new tag]                 trunk/7563f61cc8a40a5ba21a498a2d98895b4eec3f39 -> trunk/7563f61cc8a40a5ba21a498a2d98895b4eec3f39
2025-11-03T16:15:36.7216011Z  * [new tag]                 trunk/75f798e05b35cbdf1814673e745b9b7817bb29cd -> trunk/75f798e05b35cbdf1814673e745b9b7817bb29cd
2025-11-03T16:15:36.7216260Z  * [new tag]                 trunk/764c54ecaeb8b0da486b009f4d4ef1fa280e2517 -> trunk/764c54ecaeb8b0da486b009f4d4ef1fa280e2517
2025-11-03T16:15:36.7216505Z  * [new tag]                 trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:15:36.7219561Z  * [new tag]                 trunk/7692fa09cdd47fdbec66efca9edf42a318e6c6e4 -> trunk/7692fa09cdd47fdbec66efca9edf42a318e6c6e4
2025-11-03T16:15:36.7219964Z  * [new tag]                 trunk/76b2c37045e52540ec51e967aa7b6436a6b9b174 -> trunk/76b2c37045e52540ec51e967aa7b6436a6b9b174
2025-11-03T16:15:36.7220219Z  * [new tag]                 trunk/76bb27e248750fc558ec4ea9050e09a6f171e9bc -> trunk/76bb27e248750fc558ec4ea9050e09a6f171e9bc
2025-11-03T16:15:36.7220487Z  * [new tag]                 trunk/774abb018eb1d44c07fda9fa78549755ac7d4367 -> trunk/774abb018eb1d44c07fda9fa78549755ac7d4367
2025-11-03T16:15:36.7220746Z  * [new tag]                 trunk/791ca80d3a2ca72a77b5dedc75bbcbb35b859cfc -> trunk/791ca80d3a2ca72a77b5dedc75bbcbb35b859cfc
2025-11-03T16:15:36.7221003Z  * [new tag]                 trunk/797cd80b2670a51601f997f8c67387bd30440a36 -> trunk/797cd80b2670a51601f997f8c67387bd30440a36
2025-11-03T16:15:36.7221253Z  * [new tag]                 trunk/79aa88cc5dcc55597013cbe36f0e00557b185803 -> trunk/79aa88cc5dcc55597013cbe36f0e00557b185803
2025-11-03T16:15:36.7221507Z  * [new tag]                 trunk/79aee77381b21d41c77148e5ff84c4b351aaf144 -> trunk/79aee77381b21d41c77148e5ff84c4b351aaf144
2025-11-03T16:15:36.7221787Z  * [new tag]                 trunk/7a0cd8ed092a62123fcc1f4c40de2669f46fe2b1 -> trunk/7a0cd8ed092a62123fcc1f4c40de2669f46fe2b1
2025-11-03T16:15:36.7222051Z  * [new tag]                 trunk/7ae8aaf4c02e7cc14b2e3cce0c88a7333dff439c -> trunk/7ae8aaf4c02e7cc14b2e3cce0c88a7333dff439c
2025-11-03T16:15:36.7222309Z  * [new tag]                 trunk/7c203b8420d26bd707c6052f93a4ba77dca2b2c0 -> trunk/7c203b8420d26bd707c6052f93a4ba77dca2b2c0
2025-11-03T16:15:36.7222605Z  * [new tag]                 trunk/7ce723d21cc2a1a874f988f3459f0da834c75daa -> trunk/7ce723d21cc2a1a874f988f3459f0da834c75daa
2025-11-03T16:15:36.7222857Z  * [new tag]                 trunk/7d16fcf2df9b240895056107a015735774cbe4b5 -> trunk/7d16fcf2df9b240895056107a015735774cbe4b5
2025-11-03T16:15:36.7223101Z  * [new tag]                 trunk/7d39401fa07eb2f7782d8f234aa19f8b2abff481 -> trunk/7d39401fa07eb2f7782d8f234aa19f8b2abff481
2025-11-03T16:15:36.7223351Z  * [new tag]                 trunk/7d67a41db4801632d5862e99c79b766284dfd307 -> trunk/7d67a41db4801632d5862e99c79b766284dfd307
2025-11-03T16:15:36.7223721Z  * [new tag]                 trunk/7e3b9d105e3359e31fb252becb01d789a72dc8d9 -> trunk/7e3b9d105e3359e31fb252becb01d789a72dc8d9
2025-11-03T16:15:36.7224660Z  * [new tag]                 trunk/7f7a28046b5927ddbd8ef95d00aa1ca76f773bb1 -> trunk/7f7a28046b5927ddbd8ef95d00aa1ca76f773bb1
2025-11-03T16:15:36.7225543Z  * [new tag]                 trunk/80ba6e458ff2bd178da9ed62e27a61fe46e4252a -> trunk/80ba6e458ff2bd178da9ed62e27a61fe46e4252a
2025-11-03T16:15:36.7226220Z  * [new tag]                 trunk/8101fd46d4619d0f9ef69e5829d1ee6f77289b72 -> trunk/8101fd46d4619d0f9ef69e5829d1ee6f77289b72
2025-11-03T16:15:36.7226700Z  * [new tag]                 trunk/8110ce02a2830f562ed60607e30e2f29aed119dd -> trunk/8110ce02a2830f562ed60607e30e2f29aed119dd
2025-11-03T16:15:36.7227791Z  * [new tag]                 trunk/81fa4a204cf268bc55e96137fa803ae4938472cd -> trunk/81fa4a204cf268bc55e96137fa803ae4938472cd
2025-11-03T16:15:36.7228035Z  * [new tag]                 trunk/8209a0506b399b40a48716126ee22737aa4607c5 -> trunk/8209a0506b399b40a48716126ee22737aa4607c5
2025-11-03T16:15:36.7228884Z  * [new tag]                 trunk/8221ee6db9fd319c249087ad9bb9abaa7d56e113 -> trunk/8221ee6db9fd319c249087ad9bb9abaa7d56e113
2025-11-03T16:15:36.7229343Z  * [new tag]                 trunk/82d86bacf3c34760d6ab8a8a1eafa22d0ea259d9 -> trunk/82d86bacf3c34760d6ab8a8a1eafa22d0ea259d9
2025-11-03T16:15:36.7230183Z  * [new tag]                 trunk/82fafb3304f8baffdb2d54578926d8bb4aba621c -> trunk/82fafb3304f8baffdb2d54578926d8bb4aba621c
2025-11-03T16:15:36.7230582Z  * [new tag]                 trunk/82ff07c7884d478ddd5d638bebbb938e55c9bebf -> trunk/82ff07c7884d478ddd5d638bebbb938e55c9bebf
2025-11-03T16:15:36.7231527Z  * [new tag]                 trunk/83cc38d9c1b4371d4395bda8b6861b98986f527b -> trunk/83cc38d9c1b4371d4395bda8b6861b98986f527b
2025-11-03T16:15:36.7231787Z  * [new tag]                 trunk/840d63c12d255dac1ae3c5e442c6ea6eb87a7256 -> trunk/840d63c12d255dac1ae3c5e442c6ea6eb87a7256
2025-11-03T16:15:36.7232852Z  * [new tag]                 trunk/8417981c96b7577f0228226ccf76d23842173144 -> trunk/8417981c96b7577f0228226ccf76d23842173144
2025-11-03T16:15:36.7233701Z  * [new tag]                 trunk/845da9c8172b0e6e8b1e326359379dc6e9ddbddf -> trunk/845da9c8172b0e6e8b1e326359379dc6e9ddbddf
2025-11-03T16:15:36.7234116Z  * [new tag]                 trunk/84776e13744db6d59b41a063bb8714e2bffe7a06 -> trunk/84776e13744db6d59b41a063bb8714e2bffe7a06
2025-11-03T16:15:36.7235128Z  * [new tag]                 trunk/84a2715d341f068a26a281a252c3907bbe827d9b -> trunk/84a2715d341f068a26a281a252c3907bbe827d9b
2025-11-03T16:15:36.7235386Z  * [new tag]                 trunk/84fe84850383fc11e7150681742bf53f11cd425e -> trunk/84fe84850383fc11e7150681742bf53f11cd425e
2025-11-03T16:15:36.7236953Z  * [new tag]                 trunk/856a7a529872aa2d222e2491708cb458c682bb93 -> trunk/856a7a529872aa2d222e2491708cb458c682bb93
2025-11-03T16:15:36.7237623Z  * [new tag]                 trunk/85a7c745aa5a2428a7cc640ef4b304296fe07c42 -> trunk/85a7c745aa5a2428a7cc640ef4b304296fe07c42
2025-11-03T16:15:36.7237901Z  * [new tag]                 trunk/85b035ca9c230199d91ff86d362def01ad36dc67 -> trunk/85b035ca9c230199d91ff86d362def01ad36dc67
2025-11-03T16:15:36.7238262Z  * [new tag]                 trunk/85b85f6c2c7e6ca98abf9d9a38410d4b5703d64a -> trunk/85b85f6c2c7e6ca98abf9d9a38410d4b5703d64a
2025-11-03T16:15:36.7238907Z  * [new tag]                 trunk/877f126e353f537417c53bff073fc56d3faecd60 -> trunk/877f126e353f537417c53bff073fc56d3faecd60
2025-11-03T16:15:36.7239610Z  * [new tag]                 trunk/8887a33ede05c3e77286447a8ebd82b458878943 -> trunk/8887a33ede05c3e77286447a8ebd82b458878943
2025-11-03T16:15:36.7240918Z  * [new tag]                 trunk/895795f07cc0348ebe0b7e369d555b545d76eb9f -> trunk/895795f07cc0348ebe0b7e369d555b545d76eb9f
2025-11-03T16:15:36.7241186Z  * [new tag]                 trunk/8aa087a29dcb5eba4cffd6a452e7f327abfd14b2 -> trunk/8aa087a29dcb5eba4cffd6a452e7f327abfd14b2
2025-11-03T16:15:36.7241446Z  * [new tag]                 trunk/8af9ed08243222853cf8ebfc9177c5b1ea364d00 -> trunk/8af9ed08243222853cf8ebfc9177c5b1ea364d00
2025-11-03T16:15:36.7241796Z  * [new tag]                 trunk/8b188647cfdc1355070ccd5aaa18a8060d4f67bf -> trunk/8b188647cfdc1355070ccd5aaa18a8060d4f67bf
2025-11-03T16:15:36.7242547Z  * [new tag]                 trunk/8d4e48831e5abb6cbca8d97a2df6c47b770c303b -> trunk/8d4e48831e5abb6cbca8d97a2df6c47b770c303b
2025-11-03T16:15:36.7243230Z  * [new tag]                 trunk/8d599045cf4102e451a9e8a9ff215d053ebbe0e8 -> trunk/8d599045cf4102e451a9e8a9ff215d053ebbe0e8
2025-11-03T16:15:36.7243786Z  * [new tag]                 trunk/8e1e4ee8e0c43202085b47c9d2b05b2c0d13b368 -> trunk/8e1e4ee8e0c43202085b47c9d2b05b2c0d13b368
2025-11-03T16:15:36.7248239Z  * [new tag]                 trunk/8f40a0c634a65246889b478b7f14da7a448174a9 -> trunk/8f40a0c634a65246889b478b7f14da7a448174a9
2025-11-03T16:15:36.7248556Z  * [new tag]                 trunk/8f51556daa347041fc7ac06a832d2fdc62ca594d -> trunk/8f51556daa347041fc7ac06a832d2fdc62ca594d
2025-11-03T16:15:36.7248811Z  * [new tag]                 trunk/904abfc2ca285910b7b1458779bd9c63619f2f7d -> trunk/904abfc2ca285910b7b1458779bd9c63619f2f7d
2025-11-03T16:15:36.7249225Z  * [new tag]                 trunk/90519402c2006237f891289a0afdec804515aa73 -> trunk/90519402c2006237f891289a0afdec804515aa73
2025-11-03T16:15:36.7249490Z  * [new tag]                 trunk/90b30ebf7ecd7b0da9deeb35b165de9e28e90aff -> trunk/90b30ebf7ecd7b0da9deeb35b165de9e28e90aff
2025-11-03T16:15:36.7249751Z  * [new tag]                 trunk/90d7be35e980a39cb4044f8fefea33a6167e5733 -> trunk/90d7be35e980a39cb4044f8fefea33a6167e5733
2025-11-03T16:15:36.7250005Z  * [new tag]                 trunk/9139368b64ebcc32c8c1190fd114c7f4733e7c6d -> trunk/9139368b64ebcc32c8c1190fd114c7f4733e7c6d
2025-11-03T16:15:36.7250260Z  * [new tag]                 trunk/92381a5aa7c27b740d375dad2ff9ca7be3c1bc24 -> trunk/92381a5aa7c27b740d375dad2ff9ca7be3c1bc24
2025-11-03T16:15:36.7250505Z  * [new tag]                 trunk/924482a6f63305b0f00760170ad513305700b79c -> trunk/924482a6f63305b0f00760170ad513305700b79c
2025-11-03T16:15:36.7250743Z  * [new tag]                 trunk/9261a1fb128412201ef009d30844a2417364d73b -> trunk/9261a1fb128412201ef009d30844a2417364d73b
2025-11-03T16:15:36.7251166Z  * [new tag]                 trunk/93a70c717a5636505da0b4ccfbca0e111c88c6a8 -> trunk/93a70c717a5636505da0b4ccfbca0e111c88c6a8
2025-11-03T16:15:36.7251501Z  * [new tag]                 trunk/94eaeb9cb812744251cef11d147e93b00a633823 -> trunk/94eaeb9cb812744251cef11d147e93b00a633823
2025-11-03T16:15:36.7252122Z  * [new tag]                 trunk/94f2657c4b534136aa8958bc35d44ceac5ccd60c -> trunk/94f2657c4b534136aa8958bc35d44ceac5ccd60c
2025-11-03T16:15:36.7252752Z  * [new tag]                 trunk/9501405de686068c5d7d0e4eab21e3ef0b95cc73 -> trunk/9501405de686068c5d7d0e4eab21e3ef0b95cc73
2025-11-03T16:15:36.7253725Z  * [new tag]                 trunk/95b55347730b071d0b79df5ddd477db9c7f91fe4 -> trunk/95b55347730b071d0b79df5ddd477db9c7f91fe4
2025-11-03T16:15:36.7253975Z  * [new tag]                 trunk/96b61844a722d2ae8b1a2dc283a6c0060b40782e -> trunk/96b61844a722d2ae8b1a2dc283a6c0060b40782e
2025-11-03T16:15:36.7255364Z  * [new tag]                 trunk/972030fe2ef0a7500afb7acb86a5f971c30536b9 -> trunk/972030fe2ef0a7500afb7acb86a5f971c30536b9
2025-11-03T16:15:36.7255627Z  * [new tag]                 trunk/984e64b2cddecfe43501a7e01a1cce0c25473f54 -> trunk/984e64b2cddecfe43501a7e01a1cce0c25473f54
2025-11-03T16:15:36.7256748Z  * [new tag]                 trunk/98d640bb113a0b6a39c590bbe36873faeb71ceb0 -> trunk/98d640bb113a0b6a39c590bbe36873faeb71ceb0
2025-11-03T16:15:36.7257001Z  * [new tag]                 trunk/9901d4441862cc0be881f913e1a7f932f7cb0177 -> trunk/9901d4441862cc0be881f913e1a7f932f7cb0177
2025-11-03T16:15:36.7257521Z  * [new tag]                 trunk/9940e894ea9c4374691ec49eba96db0a3159a8ae -> trunk/9940e894ea9c4374691ec49eba96db0a3159a8ae
2025-11-03T16:15:36.7258174Z  * [new tag]                 trunk/9970fb97fff5fb5ab0f0f3acfa73558cc5c1618a -> trunk/9970fb97fff5fb5ab0f0f3acfa73558cc5c1618a
2025-11-03T16:15:36.7258861Z  * [new tag]                 trunk/99b05d1b786dc1f2448c23617bbb80d441a5d64a -> trunk/99b05d1b786dc1f2448c23617bbb80d441a5d64a
2025-11-03T16:15:36.7259701Z  * [new tag]                 trunk/99e07c39ec3e9cf4573da6e6737c3d0362bc6b13 -> trunk/99e07c39ec3e9cf4573da6e6737c3d0362bc6b13
2025-11-03T16:15:36.7260133Z  * [new tag]                 trunk/9a91486e453f300804c7031d0e904b0e2af7d802 -> trunk/9a91486e453f300804c7031d0e904b0e2af7d802
2025-11-03T16:15:36.7260872Z  * [new tag]                 trunk/9c22bbb2dce31b854e3387db77eaff501434f352 -> trunk/9c22bbb2dce31b854e3387db77eaff501434f352
2025-11-03T16:15:36.7261449Z  * [new tag]                 trunk/9d6597b1e9f95f4477e88c5bee473c2850c2e63f -> trunk/9d6597b1e9f95f4477e88c5bee473c2850c2e63f
2025-11-03T16:15:36.7262078Z  * [new tag]                 trunk/9ee1afbf66a6533c712956a3ba5e8f60c5875a74 -> trunk/9ee1afbf66a6533c712956a3ba5e8f60c5875a74
2025-11-03T16:15:36.7262657Z  * [new tag]                 trunk/9f9dbe0a9aa5e5c985f36ad6cc736b3fb3506056 -> trunk/9f9dbe0a9aa5e5c985f36ad6cc736b3fb3506056
2025-11-03T16:15:36.7263479Z  * [new tag]                 trunk/a04edcb27acc6e1dd0fc27233738e6dec718b109 -> trunk/a04edcb27acc6e1dd0fc27233738e6dec718b109
2025-11-03T16:15:36.7263878Z  * [new tag]                 trunk/a076b4d7ac09b7be59915a088b348bcbd952c8bd -> trunk/a076b4d7ac09b7be59915a088b348bcbd952c8bd
2025-11-03T16:15:36.7264569Z  * [new tag]                 trunk/a186aa8d6cc197054deba309605f4b75ca59899c -> trunk/a186aa8d6cc197054deba309605f4b75ca59899c
2025-11-03T16:15:36.7265298Z  * [new tag]                 trunk/a19e92d43355489c8d33325321e688a6e6182267 -> trunk/a19e92d43355489c8d33325321e688a6e6182267
2025-11-03T16:15:36.7265868Z  * [new tag]                 trunk/a1eb6b55387b6ae21cf9bcad76a471a2820fa1b0 -> trunk/a1eb6b55387b6ae21cf9bcad76a471a2820fa1b0
2025-11-03T16:15:36.7266511Z  * [new tag]                 trunk/a25818cf7ee2c0ed5c862dff214dc46a30211671 -> trunk/a25818cf7ee2c0ed5c862dff214dc46a30211671
2025-11-03T16:15:36.7267903Z  * [new tag]                 trunk/a2da69385abb4800732e698afacdddd78e9993aa -> trunk/a2da69385abb4800732e698afacdddd78e9993aa
2025-11-03T16:15:36.7268224Z  * [new tag]                 trunk/a3fe1825aa4d95707875ffa8f15fd00c3b94977d -> trunk/a3fe1825aa4d95707875ffa8f15fd00c3b94977d
2025-11-03T16:15:36.7269063Z  * [new tag]                 trunk/a4077b568f891f8cad948cc70cbb14043791d762 -> trunk/a4077b568f891f8cad948cc70cbb14043791d762
2025-11-03T16:15:36.7270306Z  * [new tag]                 trunk/a4a0378e6bb8afd774e4e253304cf3bf9d7e188a -> trunk/a4a0378e6bb8afd774e4e253304cf3bf9d7e188a
2025-11-03T16:15:36.7270571Z  * [new tag]                 trunk/a51f8772873bc91de8aad1ce865fe8d98a58aec7 -> trunk/a51f8772873bc91de8aad1ce865fe8d98a58aec7
2025-11-03T16:15:36.7270810Z  * [new tag]                 trunk/a5335263d32b5be2b2647661334d81225c3cc3fc -> trunk/a5335263d32b5be2b2647661334d81225c3cc3fc
2025-11-03T16:15:36.7271348Z  * [new tag]                 trunk/a553ea9ea4e71b66a58a1c3c37f18d67ffa4ecd3 -> trunk/a553ea9ea4e71b66a58a1c3c37f18d67ffa4ecd3
2025-11-03T16:15:36.7271817Z  * [new tag]                 trunk/a5c3c08d1099f96548398a637463efb0cbe115ae -> trunk/a5c3c08d1099f96548398a637463efb0cbe115ae
2025-11-03T16:15:36.7272503Z  * [new tag]                 trunk/a5f00077fc9623c762c755c926b7eee60eb0ec3f -> trunk/a5f00077fc9623c762c755c926b7eee60eb0ec3f
2025-11-03T16:15:36.7273108Z  * [new tag]                 trunk/a663eb9c80e92190832b3dd616f138f938f51525 -> trunk/a663eb9c80e92190832b3dd616f138f938f51525
2025-11-03T16:15:36.7273862Z  * [new tag]                 trunk/a6b1ef17173f56ba93ac97ff4384fa4060b5e41e -> trunk/a6b1ef17173f56ba93ac97ff4384fa4060b5e41e
2025-11-03T16:15:36.7275134Z  * [new tag]                 trunk/a76b59cc45a17b728d9da6f937c8a9ab537c657f -> trunk/a76b59cc45a17b728d9da6f937c8a9ab537c657f
2025-11-03T16:15:36.7275395Z  * [new tag]                 trunk/a77f5d9a005a789804fc4d5064036490db5f48fb -> trunk/a77f5d9a005a789804fc4d5064036490db5f48fb
2025-11-03T16:15:36.7275981Z  * [new tag]                 trunk/a7fd0b40018da3c692f74257fc9b1d8cc5c410ff -> trunk/a7fd0b40018da3c692f74257fc9b1d8cc5c410ff
2025-11-03T16:15:36.7276577Z  * [new tag]                 trunk/a988510c3396a668e92801c61b93f7b06219ad0e -> trunk/a988510c3396a668e92801c61b93f7b06219ad0e
2025-11-03T16:15:36.7278286Z  * [new tag]                 trunk/a9b29caeae77480abaee14c89cff19f2c23921a1 -> trunk/a9b29caeae77480abaee14c89cff19f2c23921a1
2025-11-03T16:15:36.7278948Z  * [new tag]                 trunk/aa9c96af041b26c9c55adac490f3449b98f27d06 -> trunk/aa9c96af041b26c9c55adac490f3449b98f27d06
2025-11-03T16:15:36.7279198Z  * [new tag]                 trunk/aab27b051a5e24e71931ef0386f9084d51347211 -> trunk/aab27b051a5e24e71931ef0386f9084d51347211
2025-11-03T16:15:36.7279443Z  * [new tag]                 trunk/ac841267a197e102e1800786b3f6bfcd068b3d85 -> trunk/ac841267a197e102e1800786b3f6bfcd068b3d85
2025-11-03T16:15:36.7280816Z  * [new tag]                 trunk/acd936cc1a53b3c97f1265b6e40e2c09ba0a182d -> trunk/acd936cc1a53b3c97f1265b6e40e2c09ba0a182d
2025-11-03T16:15:36.7281155Z  * [new tag]                 trunk/ad02bd13dfa017f69def846b265a566c4ec5cb3f -> trunk/ad02bd13dfa017f69def846b265a566c4ec5cb3f
2025-11-03T16:15:36.7281687Z  * [new tag]                 trunk/ad3a56ab9857905cdc8f62fb635d578982797c73 -> trunk/ad3a56ab9857905cdc8f62fb635d578982797c73
2025-11-03T16:15:36.7282402Z  * [new tag]                 trunk/ad559072db0cc68aad277380d20bacfdf0d944ac -> trunk/ad559072db0cc68aad277380d20bacfdf0d944ac
2025-11-03T16:15:36.7282680Z  * [new tag]                 trunk/add37bacda45d7de852dedee652346f2857df6fc -> trunk/add37bacda45d7de852dedee652346f2857df6fc
2025-11-03T16:15:36.7286519Z  * [new tag]                 trunk/adedf26e21d1ce835750c99464b3ffa0f6b38fd0 -> trunk/adedf26e21d1ce835750c99464b3ffa0f6b38fd0
2025-11-03T16:15:36.7286838Z  * [new tag]                 trunk/ae038f871b3cb91c36df3a9d4b0ffb4f35d20482 -> trunk/ae038f871b3cb91c36df3a9d4b0ffb4f35d20482
2025-11-03T16:15:36.7287114Z  * [new tag]                 trunk/afaaaa314cc9358a10e9b1986642d49c00773560 -> trunk/afaaaa314cc9358a10e9b1986642d49c00773560
2025-11-03T16:15:36.7287409Z  * [new tag]                 trunk/b060e5c131e9cf43ba6e9b5bda2cb5789c61de47 -> trunk/b060e5c131e9cf43ba6e9b5bda2cb5789c61de47
2025-11-03T16:15:36.7287669Z  * [new tag]                 trunk/b0831930edaa732dd73dc81223fc0a9f5fe6b956 -> trunk/b0831930edaa732dd73dc81223fc0a9f5fe6b956
2025-11-03T16:15:36.7287932Z  * [new tag]                 trunk/b09fb481e0fb00dc475f218e9b14660161b40a94 -> trunk/b09fb481e0fb00dc475f218e9b14660161b40a94
2025-11-03T16:15:36.7288214Z  * [new tag]                 trunk/b2a0f90501dd3a16a6ccaf4c49e1c10f6df4ce1d -> trunk/b2a0f90501dd3a16a6ccaf4c49e1c10f6df4ce1d
2025-11-03T16:15:36.7288474Z  * [new tag]                 trunk/b33762bd2f5f1b115f049d83bf553b08d1ffc97f -> trunk/b33762bd2f5f1b115f049d83bf553b08d1ffc97f
2025-11-03T16:15:36.7288733Z  * [new tag]                 trunk/b3861ac8e70a2334278c17f834880e2d45bbe7a9 -> trunk/b3861ac8e70a2334278c17f834880e2d45bbe7a9
2025-11-03T16:15:36.7289153Z  * [new tag]                 trunk/b4403bfc62ca97eec554cdf815baab1fe93057d9 -> trunk/b4403bfc62ca97eec554cdf815baab1fe93057d9
2025-11-03T16:15:36.7289809Z  * [new tag]                 trunk/b44423bbb43860c1e340cbebc9d101dc18031ecb -> trunk/b44423bbb43860c1e340cbebc9d101dc18031ecb
2025-11-03T16:15:36.7290402Z  * [new tag]                 trunk/b470e59c382649557c49d3c31b8dec1b036eb329 -> trunk/b470e59c382649557c49d3c31b8dec1b036eb329
2025-11-03T16:15:36.7291054Z  * [new tag]                 trunk/b5189e269e899a6ad9ddc4e2ce6f33029290af82 -> trunk/b5189e269e899a6ad9ddc4e2ce6f33029290af82
2025-11-03T16:15:36.7292537Z  * [new tag]                 trunk/b71966f67b2b688f9d71f1602bd3c52d413dacef -> trunk/b71966f67b2b688f9d71f1602bd3c52d413dacef
2025-11-03T16:15:36.7292824Z  * [new tag]                 trunk/b7d348a9074af70f34848298a4e7a7985b197742 -> trunk/b7d348a9074af70f34848298a4e7a7985b197742
2025-11-03T16:15:36.7293104Z  * [new tag]                 trunk/b903018c26217edca67c9023b104027aea377b83 -> trunk/b903018c26217edca67c9023b104027aea377b83
2025-11-03T16:15:36.7293763Z  * [new tag]                 trunk/b939de26d115d33d3cbc17dcf49dbdc1a84e9727 -> trunk/b939de26d115d33d3cbc17dcf49dbdc1a84e9727
2025-11-03T16:15:36.7294343Z  * [new tag]                 trunk/b9bcb37f40e72dc4c2fc1d9281175409fe474194 -> trunk/b9bcb37f40e72dc4c2fc1d9281175409fe474194
2025-11-03T16:15:36.7296872Z  * [new tag]                 trunk/ba71e9ca9ac21e6570b20353d0a67089ad32e442 -> trunk/ba71e9ca9ac21e6570b20353d0a67089ad32e442
2025-11-03T16:15:36.7297209Z  * [new tag]                 trunk/bb54296258854897058e8f158afa8efedc4fcf18 -> trunk/bb54296258854897058e8f158afa8efedc4fcf18
2025-11-03T16:15:36.7297470Z  * [new tag]                 trunk/bbb7d2270b6f647b97f8a9c1d4e69ddaf48ef661 -> trunk/bbb7d2270b6f647b97f8a9c1d4e69ddaf48ef661
2025-11-03T16:15:36.7297735Z  * [new tag]                 trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:15:36.7298144Z  * [new tag]                 trunk/bc5111cd8dc5167cbcbcb2c0f23e53e61a6e8ea5 -> trunk/bc5111cd8dc5167cbcbcb2c0f23e53e61a6e8ea5
2025-11-03T16:15:36.7299113Z  * [new tag]                 trunk/be283297100ab86123e74b7a8372995d32b140c8 -> trunk/be283297100ab86123e74b7a8372995d32b140c8
2025-11-03T16:15:36.7299437Z  * [new tag]                 trunk/bea89d60603ca33f1903e57db5c734a67535c26d -> trunk/bea89d60603ca33f1903e57db5c734a67535c26d
2025-11-03T16:15:36.7299786Z  * [new tag]                 trunk/bebabd7fce29ea49b9269aeaa9fe3f34a3e1127e -> trunk/bebabd7fce29ea49b9269aeaa9fe3f34a3e1127e
2025-11-03T16:15:36.7300068Z  * [new tag]                 trunk/bfb47ec50e09dc2921ba47fedf84a1e28ee991a7 -> trunk/bfb47ec50e09dc2921ba47fedf84a1e28ee991a7
2025-11-03T16:15:36.7300610Z  * [new tag]                 trunk/bfc2050db975e589795cd3eceaed2e83bf89ad35 -> trunk/bfc2050db975e589795cd3eceaed2e83bf89ad35
2025-11-03T16:15:36.7300962Z  * [new tag]                 trunk/c01636e1bc7338eecbcfd2c17fd3fa2cad836983 -> trunk/c01636e1bc7338eecbcfd2c17fd3fa2cad836983
2025-11-03T16:15:36.7301758Z  * [new tag]                 trunk/c0bbda37e8d74734b64421762eb365e620f258c1 -> trunk/c0bbda37e8d74734b64421762eb365e620f258c1
2025-11-03T16:15:36.7302359Z  * [new tag]                 trunk/c201a1cab1439bfcfaff7e4fdab0d6eeeb880a70 -> trunk/c201a1cab1439bfcfaff7e4fdab0d6eeeb880a70
2025-11-03T16:15:36.7303023Z  * [new tag]                 trunk/c2e3cc7aedb2e7d89443225c7cccd08a0f8a3587 -> trunk/c2e3cc7aedb2e7d89443225c7cccd08a0f8a3587
2025-11-03T16:15:36.7303602Z  * [new tag]                 trunk/c3047938a01c844c752e5462b05d180a04d438fd -> trunk/c3047938a01c844c752e5462b05d180a04d438fd
2025-11-03T16:15:36.7304265Z  * [new tag]                 trunk/c37802a8c4388160faa65f8bc9c29d98b4d2fb3c -> trunk/c37802a8c4388160faa65f8bc9c29d98b4d2fb3c
2025-11-03T16:15:36.7305246Z  * [new tag]                 trunk/c3b71d54995a16fd09c18a5da5d598a23388bbd6 -> trunk/c3b71d54995a16fd09c18a5da5d598a23388bbd6
2025-11-03T16:15:36.7305668Z  * [new tag]                 trunk/c3d205d5986824e72df353c9bf112dc9b2a3612a -> trunk/c3d205d5986824e72df353c9bf112dc9b2a3612a
2025-11-03T16:15:36.7306425Z  * [new tag]                 trunk/c3dc0c7089f3204c36961acc227a3ff503530094 -> trunk/c3dc0c7089f3204c36961acc227a3ff503530094
2025-11-03T16:15:36.7306882Z  * [new tag]                 trunk/c54e2c5b4138cb85412a74189d1f7f771ad1116e -> trunk/c54e2c5b4138cb85412a74189d1f7f771ad1116e
2025-11-03T16:15:36.7307278Z  * [new tag]                 trunk/c5701d0ab5f55b23243dd437f57e856970c45bb6 -> trunk/c5701d0ab5f55b23243dd437f57e856970c45bb6
2025-11-03T16:15:36.7309477Z  * [new tag]                 trunk/c58d0ad85dfbf026d5f21ee739c139407dc20e54 -> trunk/c58d0ad85dfbf026d5f21ee739c139407dc20e54
2025-11-03T16:15:36.7309760Z  * [new tag]                 trunk/c594950e867e420a6086190a88e4b8fbd687af91 -> trunk/c594950e867e420a6086190a88e4b8fbd687af91
2025-11-03T16:15:36.7310028Z  * [new tag]                 trunk/c6a02eae5b77758ee7ee0b1dfbcf20a8341914a7 -> trunk/c6a02eae5b77758ee7ee0b1dfbcf20a8341914a7
2025-11-03T16:15:36.7311053Z  * [new tag]                 trunk/c8adc08b3b19b838dcdc71f2055600f420e6a91b -> trunk/c8adc08b3b19b838dcdc71f2055600f420e6a91b
2025-11-03T16:15:36.7311343Z  * [new tag]                 trunk/c9eabadc5e964678556a6bfcde455a5e11dc0785 -> trunk/c9eabadc5e964678556a6bfcde455a5e11dc0785
2025-11-03T16:15:36.7311697Z  * [new tag]                 trunk/cb6966704cf70ebac6d2b36b65e9a75e11c29e71 -> trunk/cb6966704cf70ebac6d2b36b65e9a75e11c29e71
2025-11-03T16:15:36.7312348Z  * [new tag]                 trunk/cde81e92b95eee9af2879c9c75f7b03699ca72ad -> trunk/cde81e92b95eee9af2879c9c75f7b03699ca72ad
2025-11-03T16:15:36.7312823Z  * [new tag]                 trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac -> trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:15:36.7315126Z  * [new tag]                 trunk/cf7756da385e03c169f7e6a5b5ff2c0e29b2814a -> trunk/cf7756da385e03c169f7e6a5b5ff2c0e29b2814a
2025-11-03T16:15:36.7315419Z  * [new tag]                 trunk/cf9a834f39d6c3b769381cc1321bcb5c54132415 -> trunk/cf9a834f39d6c3b769381cc1321bcb5c54132415
2025-11-03T16:15:36.7315685Z  * [new tag]                 trunk/d049ed2cb1619c44279cb716b8a1d94e4df3b372 -> trunk/d049ed2cb1619c44279cb716b8a1d94e4df3b372
2025-11-03T16:15:36.7316091Z  * [new tag]                 trunk/d17790072381f0e76e177ae4093504a6908a5a4d -> trunk/d17790072381f0e76e177ae4093504a6908a5a4d
2025-11-03T16:15:36.7316596Z  * [new tag]                 trunk/d1a6e006e090b1365e6653853982f175cca452e8 -> trunk/d1a6e006e090b1365e6653853982f175cca452e8
2025-11-03T16:15:36.7317087Z  * [new tag]                 trunk/d2be06f673ff11e59b234156dccaad2dc22c7746 -> trunk/d2be06f673ff11e59b234156dccaad2dc22c7746
2025-11-03T16:15:36.7319967Z  * [new tag]                 trunk/d2eff5d454ab2cb0a5ccdfb5eb6e7d6dcc75e097 -> trunk/d2eff5d454ab2cb0a5ccdfb5eb6e7d6dcc75e097
2025-11-03T16:15:36.7320340Z  * [new tag]                 trunk/d3be06cbdca4b2a9cd8ae35926b3f20b1bed1fe2 -> trunk/d3be06cbdca4b2a9cd8ae35926b3f20b1bed1fe2
2025-11-03T16:15:36.7320625Z  * [new tag]                 trunk/d3e511f07c0b1fc6df22347aec7f8e700bdb0d24 -> trunk/d3e511f07c0b1fc6df22347aec7f8e700bdb0d24
2025-11-03T16:15:36.7320892Z  * [new tag]                 trunk/d401e4e70a1dd19733d3e3c84affc4884605efb4 -> trunk/d401e4e70a1dd19733d3e3c84affc4884605efb4
2025-11-03T16:15:36.7325677Z  * [new tag]                 trunk/d46d8d6f54b15ded4f2483c7bde31be124281ab8 -> trunk/d46d8d6f54b15ded4f2483c7bde31be124281ab8
2025-11-03T16:15:36.7326009Z  * [new tag]                 trunk/d6d6fa26f540c10c57ac80547a9475e9f4c201f2 -> trunk/d6d6fa26f540c10c57ac80547a9475e9f4c201f2
2025-11-03T16:15:36.7326277Z  * [new tag]                 trunk/d7040e6d7515cea485824d2b810bea94e5958dea -> trunk/d7040e6d7515cea485824d2b810bea94e5958dea
2025-11-03T16:15:36.7326538Z  * [new tag]                 trunk/d80ae738c9c1810b30a88233bdcd34cae16c5c6e -> trunk/d80ae738c9c1810b30a88233bdcd34cae16c5c6e
2025-11-03T16:15:36.7326786Z  * [new tag]                 trunk/d8283a317a335c628c4541c6a60e102fdead57b7 -> trunk/d8283a317a335c628c4541c6a60e102fdead57b7
2025-11-03T16:15:36.7327040Z  * [new tag]                 trunk/d9483d4c8d3f220ad505afd05606e068184896a4 -> trunk/d9483d4c8d3f220ad505afd05606e068184896a4
2025-11-03T16:15:36.7327295Z  * [new tag]                 trunk/d962bed15798961ffd10e64068f86a2cec411ffb -> trunk/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:15:36.7327557Z  * [new tag]                 trunk/d97144d31ef42e762ce65f467cbaf065edb241cc -> trunk/d97144d31ef42e762ce65f467cbaf065edb241cc
2025-11-03T16:15:36.7327963Z  * [new tag]                 trunk/dc011d3203b24ebf1f78ab8dd64766205e64d8ec -> trunk/dc011d3203b24ebf1f78ab8dd64766205e64d8ec
2025-11-03T16:15:36.7328229Z  * [new tag]                 trunk/dd1fe7c22f8eee3984a22663636b0d1403b079ba -> trunk/dd1fe7c22f8eee3984a22663636b0d1403b079ba
2025-11-03T16:15:36.7328488Z  * [new tag]                 trunk/deb776319b12cad7fffb5cf9d8851a50e2b0e9ea -> trunk/deb776319b12cad7fffb5cf9d8851a50e2b0e9ea
2025-11-03T16:15:36.7328748Z  * [new tag]                 trunk/defac66e39c60f867795346ded171366ed682ee3 -> trunk/defac66e39c60f867795346ded171366ed682ee3
2025-11-03T16:15:36.7328993Z  * [new tag]                 trunk/df71b7072799c451a008cb36142dfdb1487f0d5e -> trunk/df71b7072799c451a008cb36142dfdb1487f0d5e
2025-11-03T16:15:36.7331344Z  * [new tag]                 trunk/dfebdcab86acbaa0eaa996b47595e5f27a66492e -> trunk/dfebdcab86acbaa0eaa996b47595e5f27a66492e
2025-11-03T16:15:36.7331650Z  * [new tag]                 trunk/e0604d3170f1123ebacbced66be400c7f162621f -> trunk/e0604d3170f1123ebacbced66be400c7f162621f
2025-11-03T16:15:36.7331939Z  * [new tag]                 trunk/e0791fc11dc0024a828495985898b29120dcc4c1 -> trunk/e0791fc11dc0024a828495985898b29120dcc4c1
2025-11-03T16:15:36.7332210Z  * [new tag]                 trunk/e0ca3049c0c7726747094f47f80cadcfad51320d -> trunk/e0ca3049c0c7726747094f47f80cadcfad51320d
2025-11-03T16:15:36.7332471Z  * [new tag]                 trunk/e105a475756ae6dd45c8134bd4583afc57ee416e -> trunk/e105a475756ae6dd45c8134bd4583afc57ee416e
2025-11-03T16:15:36.7332738Z  * [new tag]                 trunk/e137cd0a1046ead2ca9d631f427655adced606c2 -> trunk/e137cd0a1046ead2ca9d631f427655adced606c2
2025-11-03T16:15:36.7333153Z  * [new tag]                 trunk/e1d011d6eb571cd98ec7c7ed8e8b518a5463ec97 -> trunk/e1d011d6eb571cd98ec7c7ed8e8b518a5463ec97
2025-11-03T16:15:36.7333436Z  * [new tag]                 trunk/e214af6ae8e613485ac3dac3e2094cf53dfc3c1d -> trunk/e214af6ae8e613485ac3dac3e2094cf53dfc3c1d
2025-11-03T16:15:36.7335246Z  * [new tag]                 trunk/e2dc32f4baf853e6171777aed530fc83bcdb35ae -> trunk/e2dc32f4baf853e6171777aed530fc83bcdb35ae
2025-11-03T16:15:36.7335515Z  * [new tag]                 trunk/e380028a51c38de80b8888d027c63e290a773651 -> trunk/e380028a51c38de80b8888d027c63e290a773651
2025-11-03T16:15:36.7335776Z  * [new tag]                 trunk/e3ae0594d16134632ff587c9ab400d4148c83e9f -> trunk/e3ae0594d16134632ff587c9ab400d4148c83e9f
2025-11-03T16:15:36.7336030Z  * [new tag]                 trunk/e3e93c7107830c13f4139c3a62fda62c6b84bbf5 -> trunk/e3e93c7107830c13f4139c3a62fda62c6b84bbf5
2025-11-03T16:15:36.7336297Z  * [new tag]                 trunk/e4043884c734a3947f4c8da0cfbba43fc6319f3d -> trunk/e4043884c734a3947f4c8da0cfbba43fc6319f3d
2025-11-03T16:15:36.7336557Z  * [new tag]                 trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:15:36.7338329Z  * [new tag]                 trunk/e83be7042e809ef51c67f53d83ac45794447c73f -> trunk/e83be7042e809ef51c67f53d83ac45794447c73f
2025-11-03T16:15:36.7338602Z  * [new tag]                 trunk/e8d887ae3fceb97283bc2d751621b9615524b4b7 -> trunk/e8d887ae3fceb97283bc2d751621b9615524b4b7
2025-11-03T16:15:36.7339176Z  * [new tag]                 trunk/e8fadba28cc225782ddce1bf0ef8315ee1743761 -> trunk/e8fadba28cc225782ddce1bf0ef8315ee1743761
2025-11-03T16:15:36.7339464Z  * [new tag]                 trunk/e95920e3e6f9d8218c6aed2b8b6ce9b838a49104 -> trunk/e95920e3e6f9d8218c6aed2b8b6ce9b838a49104
2025-11-03T16:15:36.7339744Z  * [new tag]                 trunk/ea698e8bfcd2ec1820b3ba90b9c47416a33348de -> trunk/ea698e8bfcd2ec1820b3ba90b9c47416a33348de
2025-11-03T16:15:36.7340094Z  * [new tag]                 trunk/eae701cad03feb87908107cb5246d9e13a9d426e -> trunk/eae701cad03feb87908107cb5246d9e13a9d426e
2025-11-03T16:15:36.7340372Z  * [new tag]                 trunk/eb2bad5bb54df8a2563f2619819e9e689e0ba10e -> trunk/eb2bad5bb54df8a2563f2619819e9e689e0ba10e
2025-11-03T16:15:36.7340850Z  * [new tag]                 trunk/ebb2b2e894a4ede8efc5f5fff068d4ac9972f77a -> trunk/ebb2b2e894a4ede8efc5f5fff068d4ac9972f77a
2025-11-03T16:15:36.7341606Z  * [new tag]                 trunk/ee7434be822cf6e75b4566d8159f550ee233d8ae -> trunk/ee7434be822cf6e75b4566d8159f550ee233d8ae
2025-11-03T16:15:36.7341878Z  * [new tag]                 trunk/ef8d97efcf05e1f3a05ad5ce3444e3af42481505 -> trunk/ef8d97efcf05e1f3a05ad5ce3444e3af42481505
2025-11-03T16:15:36.7342422Z  * [new tag]                 trunk/f013e804c876a34cbc86a6a475597e3e29812883 -> trunk/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:15:36.7344301Z  * [new tag]                 trunk/f02708c2be66c7cf0edec52663de69f66ba4b1df -> trunk/f02708c2be66c7cf0edec52663de69f66ba4b1df
2025-11-03T16:15:36.7344657Z  * [new tag]                 trunk/f0745ddb11ab66a8bb4de8031bd7e9dccba19379 -> trunk/f0745ddb11ab66a8bb4de8031bd7e9dccba19379
2025-11-03T16:15:36.7345229Z  * [new tag]                 trunk/f167fd09fabf3f5be63cd31451f29d49796c14e8 -> trunk/f167fd09fabf3f5be63cd31451f29d49796c14e8
2025-11-03T16:15:36.7345522Z  * [new tag]                 trunk/f1a34407152302812bf633360cd29e9fba8de71e -> trunk/f1a34407152302812bf633360cd29e9fba8de71e
2025-11-03T16:15:36.7346242Z  * [new tag]                 trunk/f1af679270392c83e03808c8af5e2cbe3cdf16ce -> trunk/f1af679270392c83e03808c8af5e2cbe3cdf16ce
2025-11-03T16:15:36.7346578Z  * [new tag]                 trunk/f1e4c42b6ef3d3cea08ab3babb693e3ce42cf08b -> trunk/f1e4c42b6ef3d3cea08ab3babb693e3ce42cf08b
2025-11-03T16:15:36.7346960Z  * [new tag]                 trunk/f20bf778746a7662a9bdbd2fa49d326772ca90ed -> trunk/f20bf778746a7662a9bdbd2fa49d326772ca90ed
2025-11-03T16:15:36.7347573Z  * [new tag]                 trunk/f2450798cd6f30b811f6d8256da0c271cad2285c -> trunk/f2450798cd6f30b811f6d8256da0c271cad2285c
2025-11-03T16:15:36.7348345Z  * [new tag]                 trunk/f2c81635c85bf8d1c523d6b17f8016ad78ea02e2 -> trunk/f2c81635c85bf8d1c523d6b17f8016ad78ea02e2
2025-11-03T16:15:36.7348933Z  * [new tag]                 trunk/f33abae6957b8ef56268ce22e660d3ed3111c7c3 -> trunk/f33abae6957b8ef56268ce22e660d3ed3111c7c3
2025-11-03T16:15:36.7349641Z  * [new tag]                 trunk/f36f372acc28062e0988d84699c62689b0d89a6e -> trunk/f36f372acc28062e0988d84699c62689b0d89a6e
2025-11-03T16:15:36.7350224Z  * [new tag]                 trunk/f452edd782fb7342e2a5740cea9b78135e714858 -> trunk/f452edd782fb7342e2a5740cea9b78135e714858
2025-11-03T16:15:36.7350927Z  * [new tag]                 trunk/f4d05feb7a5f9191509e1e539ea210fcbe538b32 -> trunk/f4d05feb7a5f9191509e1e539ea210fcbe538b32
2025-11-03T16:15:36.7351500Z  * [new tag]                 trunk/f5543e3741bbfba4579afc3b49d0720f2eee7e4d -> trunk/f5543e3741bbfba4579afc3b49d0720f2eee7e4d
2025-11-03T16:15:36.7351985Z  * [new tag]                 trunk/f5cb9a4c68d9271c58ef4d3257210984b8e85099 -> trunk/f5cb9a4c68d9271c58ef4d3257210984b8e85099
2025-11-03T16:15:36.7352998Z  * [new tag]                 trunk/f60751024ecac57840a2d25132d0c1562351e66e -> trunk/f60751024ecac57840a2d25132d0c1562351e66e
2025-11-03T16:15:36.7353377Z  * [new tag]                 trunk/f6951cb8ea1ef96a33627734eb68b5dc7a04b6ed -> trunk/f6951cb8ea1ef96a33627734eb68b5dc7a04b6ed
2025-11-03T16:15:36.7354113Z  * [new tag]                 trunk/f89a7e9fe80fb0f74af52bad892e1afafa57be9c -> trunk/f89a7e9fe80fb0f74af52bad892e1afafa57be9c
2025-11-03T16:15:36.7354720Z  * [new tag]                 trunk/f8b4c002940d96ba2afc14ac4cf0b5277776bc02 -> trunk/f8b4c002940d96ba2afc14ac4cf0b5277776bc02
2025-11-03T16:15:36.7355357Z  * [new tag]                 trunk/f911d64750efb22097eef5505552a7669a0c53de -> trunk/f911d64750efb22097eef5505552a7669a0c53de
2025-11-03T16:15:36.7356026Z  * [new tag]                 trunk/f91899ca6c15d611c453591527e1be8b43e5d4ea -> trunk/f91899ca6c15d611c453591527e1be8b43e5d4ea
2025-11-03T16:15:36.7357242Z  * [new tag]                 trunk/f93ea7dab190fa0953b7a4921b76993cadafc7c9 -> trunk/f93ea7dab190fa0953b7a4921b76993cadafc7c9
2025-11-03T16:15:36.7357737Z  * [new tag]                 trunk/fa4cb918462d3cbe7cf48db7c1498824c1ca1cc4 -> trunk/fa4cb918462d3cbe7cf48db7c1498824c1ca1cc4
2025-11-03T16:15:36.7358218Z  * [new tag]                 trunk/fa560e1158b496d1c37ca2a2443a0b7f5a08dad5 -> trunk/fa560e1158b496d1c37ca2a2443a0b7f5a08dad5
2025-11-03T16:15:36.7358970Z  * [new tag]                 trunk/fa8e073a4e17f12e7e4bb0b26471179d2ca57471 -> trunk/fa8e073a4e17f12e7e4bb0b26471179d2ca57471
2025-11-03T16:15:36.7359613Z  * [new tag]                 trunk/fb545fb0686c94cc017c15ca7e342996b49edb81 -> trunk/fb545fb0686c94cc017c15ca7e342996b49edb81
2025-11-03T16:15:36.7360289Z  * [new tag]                 trunk/fc540cefd498f1001a5fc7a4f187080628b27839 -> trunk/fc540cefd498f1001a5fc7a4f187080628b27839
2025-11-03T16:15:36.7360905Z  * [new tag]                 trunk/fc8ac1216c61d8736f45a58825abf58e7d51e088 -> trunk/fc8ac1216c61d8736f45a58825abf58e7d51e088
2025-11-03T16:15:36.7361617Z  * [new tag]                 trunk/fcc10635660ceb619f78d06eaaa8b3c0bdd52ab8 -> trunk/fcc10635660ceb619f78d06eaaa8b3c0bdd52ab8
2025-11-03T16:15:36.7362275Z  * [new tag]                 trunk/fcd5f8c352b5b75bd32e57fa044ec5df095032da -> trunk/fcd5f8c352b5b75bd32e57fa044ec5df095032da
2025-11-03T16:15:36.7362937Z  * [new tag]                 trunk/fd5da81fdd76c0a78ef935d077a93b48b78fca3a -> trunk/fd5da81fdd76c0a78ef935d077a93b48b78fca3a
2025-11-03T16:15:36.7363536Z  * [new tag]                 trunk/fd68d409ada709450ced3030bde89ec662a3f7b7 -> trunk/fd68d409ada709450ced3030bde89ec662a3f7b7
2025-11-03T16:15:36.7364082Z  * [new tag]                 trunk/fea819ed080175f9a93205cc9074022bfa486325 -> trunk/fea819ed080175f9a93205cc9074022bfa486325
2025-11-03T16:15:36.7365157Z  * [new tag]                 trunk/fee1ac927d66fce67f862311292dcc325b8def44 -> trunk/fee1ac927d66fce67f862311292dcc325b8def44
2025-11-03T16:15:36.7365472Z  * [new tag]                 trunk/fee7624bd66e64f575c1396fcaaa54cabce49ca4 -> trunk/fee7624bd66e64f575c1396fcaaa54cabce49ca4
2025-11-03T16:15:36.7366050Z  * [new tag]                 trunk/fefb546b9100614da1fa703e12651bc115059f02 -> trunk/fefb546b9100614da1fa703e12651bc115059f02
2025-11-03T16:15:36.7367109Z  * [new tag]                 trunk/ff46d5a79bec09d9ae334d325f5f8cc89306b536 -> trunk/ff46d5a79bec09d9ae334d325f5f8cc89306b536
2025-11-03T16:15:36.7367506Z  * [new tag]                 trunk/ffaa6578b7a641b1ac1fcf451f04cf5e1212c9fe -> trunk/ffaa6578b7a641b1ac1fcf451f04cf5e1212c9fe
2025-11-03T16:15:36.7368459Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-11-03T16:15:36.7368734Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-11-03T16:15:36.7369558Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-11-03T16:15:36.7370014Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-11-03T16:15:36.7370698Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-11-03T16:15:36.7371127Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-11-03T16:15:36.7372039Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-11-03T16:15:36.7375966Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-11-03T16:15:36.7376169Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-11-03T16:15:36.7376290Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-11-03T16:15:36.7376399Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-11-03T16:15:36.7376500Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-11-03T16:15:36.7376599Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-11-03T16:15:36.7376708Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-11-03T16:15:36.7376808Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-11-03T16:15:36.7378992Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-11-03T16:15:36.7379103Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-11-03T16:15:36.7379204Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-11-03T16:15:36.7379523Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-11-03T16:15:36.7379625Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-11-03T16:15:36.7380049Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-11-03T16:15:36.7380593Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-11-03T16:15:36.7381112Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-11-03T16:15:36.7381616Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-11-03T16:15:36.7382746Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-11-03T16:15:36.7382920Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-11-03T16:15:36.7384054Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-11-03T16:15:36.7384309Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-11-03T16:15:36.7385505Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-11-03T16:15:36.7385706Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-11-03T16:15:36.7385822Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-11-03T16:15:36.7386405Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-11-03T16:15:36.7388918Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-11-03T16:15:36.7389064Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-11-03T16:15:36.7389188Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-11-03T16:15:36.7389430Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-11-03T16:15:36.7391097Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-11-03T16:15:36.7391289Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-11-03T16:15:36.7391420Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-11-03T16:15:36.7391566Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-11-03T16:15:36.7392041Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-11-03T16:15:36.7393011Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-11-03T16:15:36.7398554Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-11-03T16:15:36.7398704Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-11-03T16:15:36.7399154Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-11-03T16:15:36.7399294Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-11-03T16:15:36.7399430Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-11-03T16:15:36.7399543Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-11-03T16:15:36.7399656Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-11-03T16:15:36.7399779Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-11-03T16:15:36.7399989Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-11-03T16:15:36.7400121Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-11-03T16:15:36.7400729Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-11-03T16:15:36.7401227Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-11-03T16:15:36.7401359Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-11-03T16:15:36.7401473Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-11-03T16:15:36.7403741Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-11-03T16:15:36.7404054Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-11-03T16:15:36.7404170Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-11-03T16:15:36.7404558Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-11-03T16:15:36.7404682Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-11-03T16:15:36.7404794Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-11-03T16:15:36.7407833Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-11-03T16:15:36.7408134Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-11-03T16:15:36.7408286Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-11-03T16:15:36.7408402Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-11-03T16:15:36.7408519Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-11-03T16:15:36.7408633Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-11-03T16:15:36.7408738Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-11-03T16:15:36.7408869Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-11-03T16:15:36.7408973Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-11-03T16:15:36.7411373Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-11-03T16:15:36.7411888Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-11-03T16:15:36.7412035Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-11-03T16:15:36.7412140Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-11-03T16:15:36.7412354Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-11-03T16:15:36.7412568Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-11-03T16:15:36.7415030Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-11-03T16:15:36.7415189Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-11-03T16:15:36.7415307Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-11-03T16:15:36.7415432Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-11-03T16:15:36.7415551Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-11-03T16:15:36.7415713Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-11-03T16:15:36.7417757Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-11-03T16:15:36.7418021Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-11-03T16:15:36.7418130Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-11-03T16:15:36.7418244Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-11-03T16:15:36.7418362Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-11-03T16:15:36.7418468Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-11-03T16:15:36.7418581Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-11-03T16:15:36.7419160Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-11-03T16:15:36.7419653Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-11-03T16:15:36.7420188Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-11-03T16:15:36.7421077Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-11-03T16:15:36.7421576Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-11-03T16:15:36.7422451Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-11-03T16:15:36.7422678Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-11-03T16:15:36.7423610Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-11-03T16:15:36.7423942Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-11-03T16:15:36.7425807Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-11-03T16:15:36.7426091Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-11-03T16:15:36.7426199Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-11-03T16:15:36.7426316Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-11-03T16:15:36.7426729Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-11-03T16:15:36.7427627Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-11-03T16:15:36.7428898Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-11-03T16:15:36.7429017Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-11-03T16:15:36.7430247Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-11-03T16:15:36.7430469Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-11-03T16:15:36.7430623Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-11-03T16:15:36.7430768Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-11-03T16:15:36.7431797Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-11-03T16:15:36.7431986Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-11-03T16:15:36.7432921Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-11-03T16:15:36.7433060Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-11-03T16:15:36.7434348Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-11-03T16:15:36.7434596Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-11-03T16:15:36.7435367Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-11-03T16:15:36.7435768Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-11-03T16:15:36.7436734Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-11-03T16:15:36.7436912Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-11-03T16:15:36.7438066Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-11-03T16:15:36.7438187Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-11-03T16:15:36.7439166Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-11-03T16:15:36.7439385Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-11-03T16:15:36.7440517Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-11-03T16:15:36.7440745Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-11-03T16:15:36.7441256Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-11-03T16:15:36.7441688Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-11-03T16:15:36.7443131Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-11-03T16:15:36.7443355Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-11-03T16:15:36.7444743Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-11-03T16:15:36.7448361Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-11-03T16:15:36.7448504Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-11-03T16:15:36.7448619Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-11-03T16:15:36.7448722Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-11-03T16:15:36.7448843Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-11-03T16:15:36.7448951Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-11-03T16:15:36.7449054Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-11-03T16:15:36.7449606Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-11-03T16:15:36.7450024Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-11-03T16:15:36.7450898Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-11-03T16:15:36.7451151Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-11-03T16:15:36.7453022Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-11-03T16:15:36.7453415Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-11-03T16:15:36.7453528Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-11-03T16:15:36.7453642Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-11-03T16:15:36.7454135Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-11-03T16:15:36.7455104Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-11-03T16:15:36.7455269Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-11-03T16:15:36.7459604Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-11-03T16:15:36.7460067Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-11-03T16:15:36.7460203Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-11-03T16:15:36.7460318Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-11-03T16:15:36.7460429Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-11-03T16:15:36.7460545Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-11-03T16:15:36.7460657Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-11-03T16:15:36.7460764Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-11-03T16:15:36.7461004Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-11-03T16:15:36.7461115Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-11-03T16:15:36.7461373Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-11-03T16:15:36.7464997Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-11-03T16:15:36.7465185Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-11-03T16:15:36.7465297Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-11-03T16:15:36.7465414Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-11-03T16:15:36.7465531Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-11-03T16:15:36.7465650Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-11-03T16:15:36.7470936Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-11-03T16:15:36.7475271Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-11-03T16:15:36.7475809Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-11-03T16:15:36.7475942Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-11-03T16:15:36.7476054Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-11-03T16:15:36.7476154Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-11-03T16:15:36.7476262Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-11-03T16:15:36.7476372Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-11-03T16:15:36.7476471Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-11-03T16:15:36.7476578Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-11-03T16:15:36.7476686Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-11-03T16:15:36.7476788Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-11-03T16:15:36.7476896Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-11-03T16:15:36.7477011Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-11-03T16:15:36.7477119Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-11-03T16:15:36.7477220Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-11-03T16:15:36.7477473Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-11-03T16:15:36.7482859Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-11-03T16:15:36.7487089Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-11-03T16:15:36.7488618Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-11-03T16:15:36.7488752Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-11-03T16:15:36.7488872Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-11-03T16:15:36.7488986Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-11-03T16:15:36.7489124Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-11-03T16:15:36.7489239Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-11-03T16:15:36.7489351Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-11-03T16:15:36.7489482Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-11-03T16:15:36.7489590Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-11-03T16:15:36.7489701Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-11-03T16:15:36.7489811Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-11-03T16:15:36.7489933Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-11-03T16:15:36.7490047Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-11-03T16:15:36.7490156Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-11-03T16:15:36.7490265Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-11-03T16:15:36.7490557Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-11-03T16:15:36.7490676Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-11-03T16:15:36.7490784Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-11-03T16:15:36.7490885Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-11-03T16:15:36.7490997Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-11-03T16:15:36.7491102Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-11-03T16:15:36.7491213Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-11-03T16:15:36.7491312Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-11-03T16:15:36.7491415Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-11-03T16:15:36.7496855Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-11-03T16:15:36.7501275Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-11-03T16:15:36.7505864Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-11-03T16:15:36.7511292Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-11-03T16:15:36.7516711Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-11-03T16:15:36.7521117Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-11-03T16:15:36.7526814Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-11-03T16:15:36.7527287Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-11-03T16:15:36.7527672Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-11-03T16:15:36.7527963Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-11-03T16:15:36.7528114Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-11-03T16:15:36.7528244Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-11-03T16:15:36.7528347Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-11-03T16:15:36.7528455Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-11-03T16:15:36.7528773Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-11-03T16:15:36.7528883Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-11-03T16:15:36.7528986Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-11-03T16:15:36.7529087Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-11-03T16:15:36.7529197Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-11-03T16:15:36.7529308Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-11-03T16:15:36.7529416Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-11-03T16:15:36.7529516Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-11-03T16:15:36.7529620Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-11-03T16:15:36.7529729Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-11-03T16:15:36.7529831Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-11-03T16:15:36.7529939Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-11-03T16:15:36.7530039Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-11-03T16:15:36.7530147Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-11-03T16:15:36.7530245Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-11-03T16:15:36.7530347Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-11-03T16:15:36.7530452Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-11-03T16:15:36.7530550Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-11-03T16:15:36.7530708Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-11-03T16:15:36.7530809Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-11-03T16:15:36.7530908Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-11-03T16:15:36.7531018Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-11-03T16:15:36.7531141Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-11-03T16:15:36.7531252Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-11-03T16:15:36.7531352Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-11-03T16:15:36.7531456Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-11-03T16:15:36.7531556Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-11-03T16:15:36.7531654Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-11-03T16:15:36.7531838Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-11-03T16:15:36.7531946Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-11-03T16:15:36.7532053Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-11-03T16:15:36.7532153Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-11-03T16:15:36.7532303Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-11-03T16:15:36.7532443Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-11-03T16:15:36.7532572Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-11-03T16:15:36.7532709Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-11-03T16:15:36.7532838Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-11-03T16:15:36.7532976Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-11-03T16:15:36.7533111Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-11-03T16:15:36.7533244Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-11-03T16:15:36.7533434Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-11-03T16:15:36.7533563Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-11-03T16:15:36.7533702Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-11-03T16:15:36.7533840Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-11-03T16:15:36.7533976Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-11-03T16:15:36.7534145Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-11-03T16:15:36.7534289Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-11-03T16:15:36.7534445Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-11-03T16:15:36.7534590Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-11-03T16:15:36.7534735Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-11-03T16:15:36.7534872Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-11-03T16:15:36.7535009Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-11-03T16:15:36.7535149Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-11-03T16:15:36.7535283Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-11-03T16:15:36.7535430Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-11-03T16:15:36.7535595Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-11-03T16:15:36.7537087Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-11-03T16:15:36.7537256Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-11-03T16:15:36.7537440Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-11-03T16:15:36.7538228Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-11-03T16:15:36.7539625Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-11-03T16:15:36.7539830Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-11-03T16:15:36.7539978Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-11-03T16:15:36.7540522Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-11-03T16:15:36.7541093Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-11-03T16:15:36.7542048Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-11-03T16:15:36.7542314Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-11-03T16:15:36.7543254Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-11-03T16:15:36.7543443Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-11-03T16:15:36.7544470Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-11-03T16:15:36.7544834Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-11-03T16:15:36.7545804Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-11-03T16:15:36.7546060Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-11-03T16:15:36.7546984Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-11-03T16:15:36.7547191Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-11-03T16:15:36.7549567Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-11-03T16:15:36.7549929Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-11-03T16:15:36.7550076Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-11-03T16:15:36.7550215Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-11-03T16:15:36.7550585Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-11-03T16:15:36.7550940Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-11-03T16:15:36.7551601Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-11-03T16:15:36.7552178Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-11-03T16:15:36.7552755Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-11-03T16:15:36.7553795Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-11-03T16:15:36.7554042Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-11-03T16:15:36.7554976Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-11-03T16:15:36.7559085Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-11-03T16:15:36.7559256Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-11-03T16:15:36.7559404Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-11-03T16:15:36.7559559Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-11-03T16:15:36.7559868Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-11-03T16:15:36.7560022Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-11-03T16:15:36.7560164Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-11-03T16:15:36.7560317Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-11-03T16:15:36.7560674Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-11-03T16:15:36.7561477Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-11-03T16:15:36.7561953Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-11-03T16:15:36.7564756Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-11-03T16:15:36.7565070Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-11-03T16:15:36.7565257Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-11-03T16:15:36.7565400Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-11-03T16:15:36.7565683Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-11-03T16:15:36.7565843Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-11-03T16:15:36.7571099Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-11-03T16:15:36.7571546Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-11-03T16:15:36.7571717Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-11-03T16:15:36.7571872Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-11-03T16:15:36.7572033Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-11-03T16:15:36.7572224Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-11-03T16:15:36.7572791Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-11-03T16:15:36.7572970Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-11-03T16:15:36.7573263Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-11-03T16:15:36.7573401Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-11-03T16:15:36.7573530Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-11-03T16:15:36.7573657Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-11-03T16:15:36.7577987Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-11-03T16:15:36.7580337Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-11-03T16:15:36.7580525Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-11-03T16:15:36.7584304Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-11-03T16:15:36.7584509Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-11-03T16:15:36.7584656Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-11-03T16:15:36.7585005Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-11-03T16:15:36.7585161Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-11-03T16:15:36.7585313Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-11-03T16:15:36.7585459Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-11-03T16:15:36.7585607Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-11-03T16:15:36.7585877Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-11-03T16:15:36.7586028Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-11-03T16:15:36.7586309Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-11-03T16:15:36.7586455Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-11-03T16:15:36.7586600Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-11-03T16:15:36.7586753Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-11-03T16:15:36.7586899Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-11-03T16:15:36.7587046Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-11-03T16:15:36.7587192Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-11-03T16:15:36.7591380Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-11-03T16:15:36.7595417Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-11-03T16:15:36.7599483Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-11-03T16:15:36.7601554Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-11-03T16:15:36.7601862Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-11-03T16:15:36.7602013Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-11-03T16:15:36.7602140Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-11-03T16:15:36.7602274Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-11-03T16:15:36.7602398Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-11-03T16:15:36.7602563Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-11-03T16:15:36.7602688Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-11-03T16:15:36.7602810Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-11-03T16:15:36.7603169Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-11-03T16:15:36.7603310Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-11-03T16:15:36.7603456Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-11-03T16:15:36.7603600Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-11-03T16:15:36.7603745Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-11-03T16:15:36.7603884Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-11-03T16:15:36.7604027Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-11-03T16:15:36.7604159Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-11-03T16:15:36.7604300Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-11-03T16:15:36.7604434Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-11-03T16:15:36.7604574Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-11-03T16:15:36.7604735Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-11-03T16:15:36.7604887Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-11-03T16:15:36.7605028Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-11-03T16:15:36.7605202Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-11-03T16:15:36.7605432Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-11-03T16:15:36.7605655Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-11-03T16:15:36.7605872Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-11-03T16:15:36.7606212Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-11-03T16:15:36.7606456Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-11-03T16:15:36.7606604Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-11-03T16:15:36.7606778Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-11-03T16:15:36.7606930Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-11-03T16:15:36.7610188Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-11-03T16:15:36.7610346Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-11-03T16:15:36.7610692Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-11-03T16:15:36.7610877Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-11-03T16:15:36.7611022Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-11-03T16:15:36.7611175Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-11-03T16:15:36.7611644Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-11-03T16:15:36.7614660Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-11-03T16:15:36.7614808Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-11-03T16:15:36.7614943Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-11-03T16:15:36.7615093Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-11-03T16:15:36.7615510Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-11-03T16:15:36.7619314Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-11-03T16:15:36.7619656Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-11-03T16:15:36.7619825Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-11-03T16:15:36.7619979Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-11-03T16:15:36.7620524Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-11-03T16:15:36.7620698Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-11-03T16:15:36.7620830Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-11-03T16:15:36.7621002Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-11-03T16:15:36.7621130Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-11-03T16:15:36.7621261Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-11-03T16:15:36.7621393Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-11-03T16:15:36.7621521Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-11-03T16:15:36.7621810Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-11-03T16:15:36.7622431Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-11-03T16:15:36.7624603Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-11-03T16:15:36.7625221Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-11-03T16:15:36.7629689Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-11-03T16:15:36.7634100Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-11-03T16:15:36.7638421Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-11-03T16:15:36.7638606Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-11-03T16:15:36.7639194Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-11-03T16:15:36.7639358Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-11-03T16:15:36.7639505Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-11-03T16:15:36.7639657Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-11-03T16:15:36.7639798Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-11-03T16:15:36.7639960Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-11-03T16:15:36.7640130Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-11-03T16:15:36.7640284Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-11-03T16:15:36.7640428Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-11-03T16:15:36.7640570Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-11-03T16:15:36.7640732Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-11-03T16:15:36.7640869Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-11-03T16:15:36.7641015Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-11-03T16:15:36.7641150Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-11-03T16:15:36.7641302Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-11-03T16:15:36.7641432Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-11-03T16:15:36.7641584Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-11-03T16:15:36.7641864Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-11-03T16:15:36.7641997Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-11-03T16:15:36.7642148Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-11-03T16:15:36.7642300Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-11-03T16:15:36.7642452Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-11-03T16:15:36.7642597Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-11-03T16:15:36.7642747Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-11-03T16:15:36.7643069Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-11-03T16:15:36.7643288Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-11-03T16:15:36.7643802Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-11-03T16:15:36.7645336Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-11-03T16:15:36.7645501Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-11-03T16:15:36.7645997Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-11-03T16:15:36.7646512Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-11-03T16:15:36.7647818Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-11-03T16:15:36.7648127Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-11-03T16:15:36.7648277Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-11-03T16:15:36.7650967Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-11-03T16:15:36.7651157Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-11-03T16:15:36.7651307Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-11-03T16:15:36.7651442Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-11-03T16:15:36.7652148Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-11-03T16:15:36.7652748Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-11-03T16:15:36.7653320Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-11-03T16:15:36.7653996Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-11-03T16:15:36.7654534Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-11-03T16:15:36.7655741Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-11-03T16:15:36.7656753Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-11-03T16:15:36.7656979Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-11-03T16:15:36.7657117Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-11-03T16:15:36.7658579Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-11-03T16:15:36.7658879Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-11-03T16:15:36.7659015Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-11-03T16:15:36.7659600Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-11-03T16:15:36.7660125Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-11-03T16:15:36.7661103Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-11-03T16:15:36.7661365Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-11-03T16:15:36.7662375Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-11-03T16:15:36.7662651Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-11-03T16:15:36.7663791Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-11-03T16:15:36.7665421Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-11-03T16:15:36.7665600Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-11-03T16:15:36.7665749Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-11-03T16:15:36.7665878Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-11-03T16:15:36.7666486Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-11-03T16:15:36.7666980Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-11-03T16:15:36.7668019Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-11-03T16:15:36.7668255Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-11-03T16:15:36.7669370Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-11-03T16:15:36.7669711Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-11-03T16:15:36.7670651Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-11-03T16:15:36.7670990Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-11-03T16:15:36.7671716Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-11-03T16:15:36.7672080Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-11-03T16:15:36.7685834Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-11-03T16:15:36.7686352Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-11-03T16:15:36.7686522Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-11-03T16:15:36.7686666Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-11-03T16:15:36.7686798Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-11-03T16:15:36.7686971Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-11-03T16:15:36.7687121Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-11-03T16:15:36.7687256Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-11-03T16:15:36.7687384Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-11-03T16:15:36.7687523Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-11-03T16:15:36.7687659Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-11-03T16:15:36.7687786Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-11-03T16:15:36.7687921Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-11-03T16:15:36.7688048Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-11-03T16:15:36.7688183Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-11-03T16:15:36.7688316Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-11-03T16:15:36.7688440Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-11-03T16:15:36.7688573Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-11-03T16:15:36.7688917Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-11-03T16:15:36.7689056Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-11-03T16:15:36.7689197Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-11-03T16:15:36.7689331Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-11-03T16:15:36.7689475Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-11-03T16:15:36.7689868Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-11-03T16:15:36.7690050Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-11-03T16:15:36.7690591Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-11-03T16:15:36.7691016Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-11-03T16:15:36.7691584Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-11-03T16:15:36.7692172Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-11-03T16:15:36.7694502Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-11-03T16:15:36.7695080Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-11-03T16:15:36.7695414Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-11-03T16:15:36.7695715Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-11-03T16:15:36.7696054Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-11-03T16:15:36.7696193Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-11-03T16:15:36.7696363Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-11-03T16:15:36.7696490Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-11-03T16:15:36.7699022Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-11-03T16:15:36.7699169Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-11-03T16:15:36.7699490Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-11-03T16:15:36.7699622Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-11-03T16:15:36.7699769Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-11-03T16:15:36.7699904Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-11-03T16:15:36.7700039Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-11-03T16:15:36.7700174Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-11-03T16:15:36.7700297Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-11-03T16:15:36.7700432Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-11-03T16:15:36.7700687Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-11-03T16:15:36.7701231Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-11-03T16:15:36.7701598Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-11-03T16:15:36.7702289Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-11-03T16:15:36.7703314Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-11-03T16:15:36.7703565Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-11-03T16:15:36.7703818Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-11-03T16:15:36.7704257Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-11-03T16:15:36.7704691Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-11-03T16:15:36.7705782Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-11-03T16:15:36.7706040Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-11-03T16:15:36.7706536Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-11-03T16:15:36.7707103Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-11-03T16:15:36.7707537Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-11-03T16:15:36.7710441Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-11-03T16:15:36.7710726Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-11-03T16:15:36.7710866Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-11-03T16:15:36.7711007Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-11-03T16:15:36.7711140Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-11-03T16:15:36.7711271Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-11-03T16:15:36.7715231Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-11-03T16:15:36.7720482Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-11-03T16:15:36.7723664Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-11-03T16:15:36.7723839Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-11-03T16:15:36.7724015Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-11-03T16:15:36.7724144Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-11-03T16:15:36.7724282Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-11-03T16:15:36.7724406Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-11-03T16:15:36.7724544Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-11-03T16:15:36.7724681Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-11-03T16:15:36.7724805Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-11-03T16:15:36.7724942Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-11-03T16:15:36.7725067Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-11-03T16:15:36.7725209Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-11-03T16:15:36.7725334Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-11-03T16:15:36.7725458Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-11-03T16:15:36.7725591Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-11-03T16:15:36.7725717Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-11-03T16:15:36.7725848Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-11-03T16:15:36.7725972Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-11-03T16:15:36.7726102Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-11-03T16:15:36.7726240Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-11-03T16:15:36.7726458Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-11-03T16:15:36.7727344Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-11-03T16:15:36.7727494Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-11-03T16:15:36.7727630Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-11-03T16:15:36.7727755Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-11-03T16:15:36.7727975Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-11-03T16:15:36.7733780Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-11-03T16:15:36.7740427Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-11-03T16:15:36.7740925Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-11-03T16:15:36.7741114Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-11-03T16:15:36.7741261Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-11-03T16:15:36.7741394Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-11-03T16:15:36.7741534Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-11-03T16:15:36.7741668Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-11-03T16:15:36.7741811Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-11-03T16:15:36.7741948Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-11-03T16:15:36.7742239Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-11-03T16:15:36.7742386Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-11-03T16:15:36.7742527Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-11-03T16:15:36.7742668Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-11-03T16:15:36.7742804Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-11-03T16:15:36.7742953Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-11-03T16:15:36.7743095Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-11-03T16:15:36.7743230Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-11-03T16:15:36.7743373Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-11-03T16:15:36.7743510Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-11-03T16:15:36.7743652Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-11-03T16:15:36.7743789Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-11-03T16:15:36.7743924Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-11-03T16:15:36.7744067Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-11-03T16:15:36.7744225Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-11-03T16:15:36.7744367Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-11-03T16:15:36.7744502Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-11-03T16:15:36.7744645Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-11-03T16:15:36.7745128Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-11-03T16:15:36.7745272Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-11-03T16:15:36.7745463Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-11-03T16:15:36.7745604Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-11-03T16:15:36.7745745Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-11-03T16:15:36.7745880Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-11-03T16:15:36.7746012Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
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2025-11-03T16:15:36.7746347Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-11-03T16:15:36.7746917Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-11-03T16:15:36.7748127Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-11-03T16:15:36.7748586Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-11-03T16:15:36.7749757Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-11-03T16:15:36.7750324Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-11-03T16:15:36.8297921Z [command]/usr/bin/git rev-parse --verify --quiet 3f6538febd727b782e6e13cfd026a309fb14351d^{object}
2025-11-03T16:15:36.8324336Z 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:15:36.8326170Z ##[endgroup]
2025-11-03T16:15:36.8326549Z ##[group]Determining the checkout info
2025-11-03T16:15:36.8326912Z ##[endgroup]
2025-11-03T16:15:36.8334756Z [command]/usr/bin/git sparse-checkout disable
2025-11-03T16:15:36.8368914Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-11-03T16:15:36.8409307Z ##[group]Checking out the ref
2025-11-03T16:15:36.8411872Z [command]/usr/bin/git checkout --progress --force 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:15:37.8656820Z Updating files:  90% (18163/20004)
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2025-11-03T16:15:38.0006083Z Updating files: 100% (20004/20004), done.
2025-11-03T16:15:38.0249016Z Note: switching to '3f6538febd727b782e6e13cfd026a309fb14351d'.
2025-11-03T16:15:38.0249296Z 
2025-11-03T16:15:38.0249979Z You are in 'detached HEAD' state. You can look around, make experimental
2025-11-03T16:15:38.0250471Z changes and commit them, and you can discard any commits you make in this
2025-11-03T16:15:38.0250999Z state without impacting any branches by switching back to a branch.
2025-11-03T16:15:38.0251222Z 
2025-11-03T16:15:38.0251387Z If you want to create a new branch to retain commits you create, you may
2025-11-03T16:15:38.0251746Z do so (now or later) by using -c with the switch command. Example:
2025-11-03T16:15:38.0251955Z 
2025-11-03T16:15:38.0252056Z   git switch -c <new-branch-name>
2025-11-03T16:15:38.0252215Z 
2025-11-03T16:15:38.0252311Z Or undo this operation with:
2025-11-03T16:15:38.0252455Z 
2025-11-03T16:15:38.0252531Z   git switch -
2025-11-03T16:15:38.0252639Z 
2025-11-03T16:15:38.0252822Z Turn off this advice by setting config variable advice.detachedHead to false
2025-11-03T16:15:38.0253062Z 
2025-11-03T16:15:38.0253232Z HEAD is now at 3f6538febd7 Remove tools from BC linter (#166858)
2025-11-03T16:15:38.0306914Z ##[endgroup]
2025-11-03T16:15:38.0308145Z ##[group]Setting up auth for fetching submodules
2025-11-03T16:15:38.0319779Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-11-03T16:15:38.0382991Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-11-03T16:15:38.0412028Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-11-03T16:15:38.0441074Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-11-03T16:15:38.0467791Z ##[endgroup]
2025-11-03T16:15:38.0468161Z ##[group]Fetching submodules
2025-11-03T16:15:38.0472937Z [command]/usr/bin/git submodule sync --recursive
2025-11-03T16:15:38.0844567Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-11-03T16:15:38.1226701Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-11-03T16:15:38.1227408Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-11-03T16:15:38.1228068Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-11-03T16:15:38.1229251Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-11-03T16:15:38.1229815Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-11-03T16:15:38.1233820Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-11-03T16:15:38.1234968Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-11-03T16:15:38.1235560Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-11-03T16:15:38.1236681Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-11-03T16:15:38.1240989Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-11-03T16:15:38.1241751Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-11-03T16:15:38.1243091Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-11-03T16:15:38.1248729Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-11-03T16:15:38.1249458Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-11-03T16:15:38.1250044Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-11-03T16:15:38.1252422Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-11-03T16:15:38.1256356Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-11-03T16:15:38.1258460Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-11-03T16:15:38.1261123Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:15:38.1262950Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-11-03T16:15:38.1265763Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-11-03T16:15:38.1267973Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-11-03T16:15:38.1270106Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-11-03T16:15:38.1273583Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-11-03T16:15:38.1275281Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-11-03T16:15:38.1277790Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-11-03T16:15:38.1280489Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-11-03T16:15:38.1283160Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-11-03T16:15:38.1286850Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-11-03T16:15:38.1289549Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-11-03T16:15:38.1292741Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-11-03T16:15:38.1295332Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-11-03T16:15:38.1299247Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-11-03T16:15:38.1303038Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-11-03T16:15:38.1305832Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-11-03T16:15:38.1309184Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-11-03T16:15:38.1313806Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-11-03T16:15:38.1343299Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-11-03T16:15:38.3964493Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-11-03T16:15:38.3965409Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-11-03T16:15:38.3966179Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-11-03T16:15:38.3993368Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-11-03T16:15:38.7158140Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-11-03T16:15:38.7159058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-11-03T16:15:38.7159925Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-11-03T16:15:38.7160776Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-11-03T16:15:38.7161562Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-11-03T16:15:38.7162357Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-11-03T16:15:38.7163190Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-11-03T16:15:38.7163952Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-11-03T16:15:38.7164761Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-11-03T16:15:38.8026597Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-11-03T16:15:38.9612500Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-11-03T16:15:38.9614638Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-11-03T16:15:39.0570058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-11-03T16:15:40.2284069Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-11-03T16:15:40.2284934Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-11-03T16:15:40.2285505Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-11-03T16:15:40.2286064Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-11-03T16:15:40.2287072Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-11-03T16:15:40.2287870Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-11-03T16:15:40.2288674Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-11-03T16:15:40.2289361Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-11-03T16:15:40.2290048Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-11-03T16:15:40.3285143Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-11-03T16:15:52.1394561Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-11-03T16:15:52.1400216Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-11-03T16:15:52.1401041Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-11-03T16:15:52.1401525Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-11-03T16:15:52.1402028Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-11-03T16:15:52.1402542Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-11-03T16:15:52.1403044Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-11-03T16:15:52.1403591Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-11-03T16:15:52.1404056Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-11-03T16:15:52.1542025Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-11-03T16:15:52.1662594Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-11-03T16:15:52.1754762Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-11-03T16:15:52.1970958Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-11-03T16:15:52.2678052Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-11-03T16:15:52.3169882Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-11-03T16:15:52.8989639Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-11-03T16:15:53.0545141Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-11-03T16:15:53.0565132Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:15:53.0595056Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-11-03T16:15:57.1420333Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-11-03T16:15:57.1640632Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-11-03T16:15:57.4499224Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-11-03T16:15:57.4948267Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-11-03T16:15:57.5873717Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-11-03T16:15:57.6346991Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-11-03T16:15:58.1912204Z Submodule path 'third_party/cutlass': checked out 'f3fde58372d33e9a5650ba7b80fc48b3b49d40c8'
2025-11-03T16:15:58.3198387Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-11-03T16:15:58.3215704Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-11-03T16:15:58.3218957Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:15:58.3219689Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:15:58.3220323Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-11-03T16:15:58.3220980Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-11-03T16:15:58.3222033Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:15:58.3222792Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-11-03T16:15:58.3251365Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-11-03T16:15:59.5279535Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-11-03T16:15:59.5280200Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-11-03T16:15:59.5280781Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-11-03T16:15:59.6281447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-11-03T16:16:02.1353089Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-11-03T16:16:02.2354390Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-11-03T16:16:05.4901481Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-11-03T16:16:05.7739753Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-11-03T16:16:05.8688639Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-11-03T16:16:06.4322285Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-11-03T16:16:06.4772667Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:16:06.4895207Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-11-03T16:16:06.5905669Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-11-03T16:16:06.6547679Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-11-03T16:16:06.6569036Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:16:06.6569885Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:16:06.6596433Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-11-03T16:16:10.7713462Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-11-03T16:16:10.9747379Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-11-03T16:16:11.4854120Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-11-03T16:16:11.6034187Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-11-03T16:16:11.6322713Z Submodule path 'third_party/fmt': checked out 'e424e3f2e607da02742f73db84873b8084fc714c'
2025-11-03T16:16:11.6688207Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-11-03T16:16:11.6921014Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-11-03T16:16:11.7361697Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:16:11.7494821Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-11-03T16:16:11.7510319Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-11-03T16:16:11.7534199Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-11-03T16:16:28.0028317Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-11-03T16:16:28.0224057Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-11-03T16:16:28.1118428Z Submodule path 'third_party/kineto': checked out '6fcbc53d33dd275c0aba1e5d7701d471b7f6eeb3'
2025-11-03T16:16:28.1134139Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:16:28.1137828Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:16:28.1138630Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:16:28.1168658Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-11-03T16:16:29.3964892Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-11-03T16:16:29.6862635Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-11-03T16:16:29.7691307Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-11-03T16:16:29.7707187Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:16:29.7710239Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:16:29.7711003Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:16:29.7717266Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:16:29.7722857Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:16:29.7727722Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:16:29.7732803Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:16:29.7733915Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:16:29.7734788Z 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'
2025-11-03T16:16:29.7750737Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-11-03T16:16:31.5308207Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-11-03T16:16:31.5309768Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-11-03T16:16:31.5311062Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-11-03T16:16:31.5312545Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-11-03T16:16:31.5313754Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-11-03T16:16:31.5315016Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-11-03T16:16:31.5316246Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-11-03T16:16:31.6309146Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-11-03T16:16:37.1814051Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-11-03T16:16:37.2257222Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-11-03T16:16:37.2587740Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-11-03T16:16:37.2724821Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-11-03T16:16:37.2736570Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:16:37.2764898Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-11-03T16:16:37.6180432Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-11-03T16:16:37.6351906Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-11-03T16:16:37.6742468Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:16:37.7625292Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-11-03T16:16:37.7777444Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-11-03T16:16:37.7927855Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-11-03T16:16:37.7940942Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:37.7942393Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:37.7971875Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-11-03T16:16:39.7675314Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-11-03T16:16:40.0046284Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-11-03T16:16:40.0485013Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-11-03T16:16:40.0803384Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-11-03T16:16:40.1236410Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:16:40.1722951Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-11-03T16:16:40.2082768Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-11-03T16:16:40.3114427Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-11-03T16:16:40.6222556Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-11-03T16:16:40.6254379Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:40.6283212Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-11-03T16:16:42.8033123Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-11-03T16:16:42.8628455Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-11-03T16:16:42.8648385Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:42.8649465Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:42.8651759Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:42.8654419Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:42.8655310Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:42.8656891Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:42.8659940Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:42.8661140Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:42.8690035Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-11-03T16:16:43.4372847Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-11-03T16:16:43.4373815Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-11-03T16:16:43.4374531Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-11-03T16:16:43.4375229Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-11-03T16:16:43.5374451Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-11-03T16:16:43.8766460Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-11-03T16:16:49.9579185Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-11-03T16:16:50.6766087Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-11-03T16:16:50.7149024Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-11-03T16:16:50.7323370Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-11-03T16:16:50.8305954Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-11-03T16:16:50.8442801Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-11-03T16:16:50.8583528Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-11-03T16:16:50.8728967Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-11-03T16:16:50.8742870Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:50.8744047Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:50.8772685Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-11-03T16:16:52.8595847Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-11-03T16:16:53.0946242Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-11-03T16:16:53.1384723Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-11-03T16:16:53.4946348Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-11-03T16:16:53.5074965Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-11-03T16:16:53.7448560Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-11-03T16:16:53.7467880Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:53.7468843Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:53.7503522Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-11-03T16:16:54.3653053Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-11-03T16:16:54.7035281Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-11-03T16:16:54.7734767Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
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2025-11-03T16:16:57.0080027Z ##[endgroup]
2025-11-03T16:16:57.0080416Z ##[group]Persisting credentials for submodules
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2025-11-03T16:16:57.5150225Z [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"
2025-11-03T16:16:57.5466884Z Entering 'android/libs/fbjni'
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2025-11-03T16:16:58.1086750Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
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2025-11-03T16:16:58.1155780Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-11-03T16:16:58.1170102Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:58.1226952Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2025-11-03T16:16:58.2678942Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-11-03T16:16:58.2997588Z Entering 'android/libs/fbjni'
2025-11-03T16:16:58.3041609Z Entering 'third_party/FP16'
2025-11-03T16:16:58.3083189Z Entering 'third_party/FXdiv'
2025-11-03T16:16:58.3126311Z Entering 'third_party/NNPACK'
2025-11-03T16:16:58.3170748Z Entering 'third_party/NVTX'
2025-11-03T16:16:58.3212331Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:16:58.3258417Z Entering 'third_party/XNNPACK'
2025-11-03T16:16:58.3318799Z Entering 'third_party/aiter'
2025-11-03T16:16:58.3362531Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:16:58.3410628Z Entering 'third_party/benchmark'
2025-11-03T16:16:58.3456660Z Entering 'third_party/composable_kernel'
2025-11-03T16:16:58.3499802Z Entering 'third_party/cpp-httplib'
2025-11-03T16:16:58.3544425Z Entering 'third_party/cpuinfo'
2025-11-03T16:16:58.3585163Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:16:58.3626411Z Entering 'third_party/cutlass'
2025-11-03T16:16:58.3674581Z Entering 'third_party/fbgemm'
2025-11-03T16:16:58.3714884Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:16:58.3756777Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:16:58.3807309Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:16:58.3848208Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:16:58.3896452Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:16:58.3935815Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:16:58.3975417Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:16:58.4018089Z Entering 'third_party/flash-attention'
2025-11-03T16:16:58.4061732Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:16:58.4105161Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:16:58.4159504Z Entering 'third_party/flatbuffers'
2025-11-03T16:16:58.4205574Z Entering 'third_party/fmt'
2025-11-03T16:16:58.4244073Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:16:58.4286040Z Entering 'third_party/gloo'
2025-11-03T16:16:58.4330922Z Entering 'third_party/googletest'
2025-11-03T16:16:58.4372101Z Entering 'third_party/ideep'
2025-11-03T16:16:58.4412538Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:16:58.4459847Z Entering 'third_party/ittapi'
2025-11-03T16:16:58.4501608Z Entering 'third_party/kineto'
2025-11-03T16:16:58.4539680Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:16:58.4578815Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:16:58.4623070Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:16:58.4668352Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:16:58.4708623Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
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2025-11-03T16:16:58.4833006Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:16:58.4874758Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:16:58.4916471Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:16:58.4954323Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:16:58.4995838Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:58.5036608Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:58.5083124Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:16:58.5123827Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:16:58.5171114Z Entering 'third_party/kleidiai'
2025-11-03T16:16:58.5218581Z Entering 'third_party/mimalloc'
2025-11-03T16:16:58.5258528Z Entering 'third_party/nlohmann'
2025-11-03T16:16:58.5301281Z Entering 'third_party/onnx'
2025-11-03T16:16:58.5358874Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:58.5407544Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:16:58.5449331Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:58.5488176Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:58.5528949Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:58.5568820Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:58.5611979Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:58.5651781Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:58.5693231Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:58.5731177Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:58.5775494Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:58.5818187Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:58.5880052Z Entering 'third_party/pocketfft'
2025-11-03T16:16:58.5923720Z Entering 'third_party/protobuf'
2025-11-03T16:16:58.5966803Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:58.6007236Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:58.6049008Z Entering 'third_party/psimd'
2025-11-03T16:16:58.6094051Z Entering 'third_party/pthreadpool'
2025-11-03T16:16:58.6138179Z Entering 'third_party/pybind11'
2025-11-03T16:16:58.6180265Z Entering 'third_party/python-peachpy'
2025-11-03T16:16:58.6225733Z Entering 'third_party/sleef'
2025-11-03T16:16:58.6269722Z Entering 'third_party/tensorpipe'
2025-11-03T16:16:58.6311454Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:16:58.6357476Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:16:58.6398809Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:16:58.6440790Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:16:58.6481086Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:58.6545885Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-11-03T16:16:58.6861423Z Entering 'android/libs/fbjni'
2025-11-03T16:16:58.6903396Z Entering 'third_party/FP16'
2025-11-03T16:16:58.6943364Z Entering 'third_party/FXdiv'
2025-11-03T16:16:58.6985728Z Entering 'third_party/NNPACK'
2025-11-03T16:16:58.7028787Z Entering 'third_party/NVTX'
2025-11-03T16:16:58.7071612Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:16:58.7117296Z Entering 'third_party/XNNPACK'
2025-11-03T16:16:58.7171719Z Entering 'third_party/aiter'
2025-11-03T16:16:58.7215169Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:16:58.7263027Z Entering 'third_party/benchmark'
2025-11-03T16:16:58.7307454Z Entering 'third_party/composable_kernel'
2025-11-03T16:16:58.7357672Z Entering 'third_party/cpp-httplib'
2025-11-03T16:16:58.7398949Z Entering 'third_party/cpuinfo'
2025-11-03T16:16:58.7441459Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:16:58.7483225Z Entering 'third_party/cutlass'
2025-11-03T16:16:58.7532832Z Entering 'third_party/fbgemm'
2025-11-03T16:16:58.7576536Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:16:58.7617711Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:16:58.7665372Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:16:58.7705233Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:16:58.7757117Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:16:58.7795933Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:16:58.7837395Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:16:58.7880824Z Entering 'third_party/flash-attention'
2025-11-03T16:16:58.7929560Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:16:58.7972760Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:16:58.8022772Z Entering 'third_party/flatbuffers'
2025-11-03T16:16:58.8068034Z Entering 'third_party/fmt'
2025-11-03T16:16:58.8110491Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:16:58.8155976Z Entering 'third_party/gloo'
2025-11-03T16:16:58.8197793Z Entering 'third_party/googletest'
2025-11-03T16:16:58.8241306Z Entering 'third_party/ideep'
2025-11-03T16:16:58.8280548Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:16:58.8329710Z Entering 'third_party/ittapi'
2025-11-03T16:16:58.8375847Z Entering 'third_party/kineto'
2025-11-03T16:16:58.8417916Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:16:58.8457617Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:16:58.8499912Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:16:58.8546562Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:16:58.8586460Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:16:58.8636617Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:16:58.8676451Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:16:58.8717879Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:16:58.8759035Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:16:58.8802554Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:16:58.8840269Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:16:58.8879314Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:58.8922907Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:58.8969954Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:16:58.9016737Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:16:58.9058491Z Entering 'third_party/kleidiai'
2025-11-03T16:16:58.9099620Z Entering 'third_party/mimalloc'
2025-11-03T16:16:58.9146993Z Entering 'third_party/nlohmann'
2025-11-03T16:16:58.9188417Z Entering 'third_party/onnx'
2025-11-03T16:16:58.9244924Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:58.9284811Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:16:58.9326334Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:58.9366256Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:58.9404832Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:58.9443345Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:58.9486032Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:58.9530935Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:58.9568751Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:58.9612918Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:58.9654118Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:58.9699150Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:58.9759553Z Entering 'third_party/pocketfft'
2025-11-03T16:16:58.9802290Z Entering 'third_party/protobuf'
2025-11-03T16:16:58.9846646Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:58.9883387Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:58.9928569Z Entering 'third_party/psimd'
2025-11-03T16:16:58.9970849Z Entering 'third_party/pthreadpool'
2025-11-03T16:16:59.0013891Z Entering 'third_party/pybind11'
2025-11-03T16:16:59.0056771Z Entering 'third_party/python-peachpy'
2025-11-03T16:16:59.0100477Z Entering 'third_party/sleef'
2025-11-03T16:16:59.0145628Z Entering 'third_party/tensorpipe'
2025-11-03T16:16:59.0183172Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:16:59.0223147Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:16:59.0264350Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:16:59.0312101Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:16:59.0347618Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:59.0406585Z ##[endgroup]
2025-11-03T16:16:59.0445261Z [command]/usr/bin/git log -1 --format=%H
2025-11-03T16:16:59.0472263Z 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:16:59.0578204Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-11-03T16:16:59.0578502Z cd "${GITHUB_WORKSPACE}"
2025-11-03T16:16:59.0578741Z # Clean stale submodule dirs
2025-11-03T16:16:59.0578986Z if [ -z "${NO_SUDO}" ]; then
2025-11-03T16:16:59.0579258Z   sudo git submodule foreach --recursive git clean -ffdx
2025-11-03T16:16:59.0579528Z else
2025-11-03T16:16:59.0579757Z   git submodule foreach --recursive git clean -ffdx
2025-11-03T16:16:59.0580010Z fi
2025-11-03T16:16:59.0589724Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:59.0590004Z env:
2025-11-03T16:16:59.0590185Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:59.0590390Z   NO_SUDO: true
2025-11-03T16:16:59.0590571Z ##[endgroup]
2025-11-03T16:16:59.0926349Z Entering 'android/libs/fbjni'
2025-11-03T16:16:59.0957508Z Entering 'third_party/FP16'
2025-11-03T16:16:59.0997628Z Entering 'third_party/FXdiv'
2025-11-03T16:16:59.1028534Z Entering 'third_party/NNPACK'
2025-11-03T16:16:59.1065437Z Entering 'third_party/NVTX'
2025-11-03T16:16:59.1101706Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:16:59.1136093Z Entering 'third_party/XNNPACK'
2025-11-03T16:16:59.1244273Z Entering 'third_party/aiter'
2025-11-03T16:16:59.1284445Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:16:59.1379018Z Entering 'third_party/benchmark'
2025-11-03T16:16:59.1416330Z Entering 'third_party/composable_kernel'
2025-11-03T16:16:59.1516666Z Entering 'third_party/cpp-httplib'
2025-11-03T16:16:59.1549338Z Entering 'third_party/cpuinfo'
2025-11-03T16:16:59.1586587Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:16:59.1620482Z Entering 'third_party/cutlass'
2025-11-03T16:16:59.1709705Z Entering 'third_party/fbgemm'
2025-11-03T16:16:59.1762864Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:16:59.1797101Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:16:59.1895598Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:16:59.1933652Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:16:59.2015965Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:16:59.2052626Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:16:59.2085548Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:16:59.2129085Z Entering 'third_party/flash-attention'
2025-11-03T16:16:59.2169875Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:16:59.2257516Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:16:59.2336307Z Entering 'third_party/flatbuffers'
2025-11-03T16:16:59.2398748Z Entering 'third_party/fmt'
2025-11-03T16:16:59.2434705Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:16:59.2471237Z Entering 'third_party/gloo'
2025-11-03T16:16:59.2507719Z Entering 'third_party/googletest'
2025-11-03T16:16:59.2542991Z Entering 'third_party/ideep'
2025-11-03T16:16:59.2573301Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:16:59.2651140Z Entering 'third_party/ittapi'
2025-11-03T16:16:59.2684195Z Entering 'third_party/kineto'
2025-11-03T16:16:59.2720011Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:16:59.2753929Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:16:59.2796374Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:16:59.2828042Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:16:59.2863219Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:16:59.2890846Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:16:59.2922060Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:16:59.2955494Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:16:59.2992177Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:16:59.3029413Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:16:59.3062776Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:16:59.3096858Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:59.3139315Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:59.3178329Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:16:59.3209526Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:16:59.3243836Z Entering 'third_party/kleidiai'
2025-11-03T16:16:59.3281031Z Entering 'third_party/mimalloc'
2025-11-03T16:16:59.3315018Z Entering 'third_party/nlohmann'
2025-11-03T16:16:59.3357677Z Entering 'third_party/onnx'
2025-11-03T16:16:59.3610130Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:59.3649091Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:16:59.3701259Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:59.3734112Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:59.3769014Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:59.3799739Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:59.3838469Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:59.3868875Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:59.3899335Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:59.3929557Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:59.3971896Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:59.4008670Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:59.4216473Z Entering 'third_party/pocketfft'
2025-11-03T16:16:59.4249076Z Entering 'third_party/protobuf'
2025-11-03T16:16:59.4316667Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:59.4347855Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:59.4385389Z Entering 'third_party/psimd'
2025-11-03T16:16:59.4416297Z Entering 'third_party/pthreadpool'
2025-11-03T16:16:59.4447881Z Entering 'third_party/pybind11'
2025-11-03T16:16:59.4482878Z Entering 'third_party/python-peachpy'
2025-11-03T16:16:59.4519815Z Entering 'third_party/sleef'
2025-11-03T16:16:59.4555644Z Entering 'third_party/tensorpipe'
2025-11-03T16:16:59.4589290Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:16:59.4619779Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:16:59.4650158Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:16:59.4684116Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:16:59.4714522Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:59.4853376Z Prepare all required actions
2025-11-03T16:16:59.4853941Z Getting action download info
2025-11-03T16:16:59.6484091Z ##[group]Run ./.github/actions/setup-linux
2025-11-03T16:16:59.6484356Z env:
2025-11-03T16:16:59.6484541Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:59.6484742Z ##[endgroup]
2025-11-03T16:16:59.6530009Z ##[group]Run set -euo pipefail
2025-11-03T16:16:59.6530310Z set -euo pipefail
2025-11-03T16:16:59.6530529Z function get_ec2_metadata() {
2025-11-03T16:16:59.6530799Z   # Pulled from instance metadata endpoint for EC2
2025-11-03T16:16:59.6531241Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-11-03T16:16:59.6531630Z   category=$1
2025-11-03T16:16:59.6531894Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-11-03T16:16:59.6532188Z   runner_name_str=i-0ae44a326bd5f2c5d
2025-11-03T16:16:59.6532511Z   if [[ -f /.inarc ]]; then
2025-11-03T16:16:59.6532768Z     echo "ARC Runner, no info on ec2 metadata"
2025-11-03T16:16:59.6533036Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-11-03T16:16:59.6533354Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-11-03T16:16:59.6533640Z   else
2025-11-03T16:16:59.6534208Z     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}"
2025-11-03T16:16:59.6534769Z   fi
2025-11-03T16:16:59.6534933Z }
2025-11-03T16:16:59.6535135Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-11-03T16:16:59.6535433Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-11-03T16:16:59.6535755Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-11-03T16:16:59.6536030Z echo "system info $(uname -a)"
2025-11-03T16:16:59.6542184Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:59.6542451Z env:
2025-11-03T16:16:59.6542627Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:59.6542819Z ##[endgroup]
2025-11-03T16:16:59.6687894Z ami-id: ami-08982f1c5bf93d976
2025-11-03T16:16:59.6792075Z instance-id: i-0ae44a326bd5f2c5d
2025-11-03T16:16:59.6901464Z instance-type: m7i-flex.8xlarge
2025-11-03T16:16:59.6913398Z system info Linux ip-10-0-40-157.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-11-03T16:16:59.6945246Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-11-03T16:16:59.6945632Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-11-03T16:16:59.6951454Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:59.6951719Z env:
2025-11-03T16:16:59.6951902Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:59.6952104Z ##[endgroup]
2025-11-03T16:16:59.6999121Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:16:59.6999773Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:16:59.7004759Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:59.7005032Z env:
2025-11-03T16:16:59.7005204Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:59.7005500Z ##[endgroup]
2025-11-03T16:16:59.7191169Z ##[group]Run if systemctl is-active --quiet docker; then
2025-11-03T16:16:59.7191531Z if systemctl is-active --quiet docker; then
2025-11-03T16:16:59.7191802Z     echo "Docker daemon is running...";
2025-11-03T16:16:59.7192035Z else
2025-11-03T16:16:59.7192285Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-11-03T16:16:59.7192574Z fi
2025-11-03T16:16:59.7197646Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:59.7197913Z env:
2025-11-03T16:16:59.7198081Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:59.7198280Z ##[endgroup]
2025-11-03T16:16:59.7281681Z Docker daemon is running...
2025-11-03T16:16:59.7323776Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:16:59.7324025Z with:
2025-11-03T16:16:59.7324193Z   shell: bash
2025-11-03T16:16:59.7324381Z   timeout_minutes: 5
2025-11-03T16:16:59.7324576Z   max_attempts: 3
2025-11-03T16:16:59.7324764Z   retry_wait_seconds: 30
2025-11-03T16:16:59.7326256Z   command: AWS_ACCOUNT_ID=$(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

2025-11-03T16:16:59.7327722Z   polling_interval_seconds: 1
2025-11-03T16:16:59.7327936Z   warning_on_retry: true
2025-11-03T16:16:59.7328136Z   continue_on_error: false
2025-11-03T16:16:59.7328327Z env:
2025-11-03T16:16:59.7328499Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:59.7328708Z   AWS_RETRY_MODE: standard
2025-11-03T16:16:59.7328907Z   AWS_MAX_ATTEMPTS: 5
2025-11-03T16:16:59.7329102Z   AWS_DEFAULT_REGION: us-east-1
2025-11-03T16:16:59.7329313Z ##[endgroup]
2025-11-03T16:17:00.8337667Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:17:00.8338266Z Configure a credential helper to remove this warning. See
2025-11-03T16:17:00.8338782Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:17:00.8339039Z 
2025-11-03T16:17:00.8339168Z Login Succeeded
2025-11-03T16:17:01.8067321Z Command completed after 1 attempt(s).
2025-11-03T16:17:01.8127571Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:17:01.8127934Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:17:01.8128230Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:17:01.8135350Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:17:01.8135598Z env:
2025-11-03T16:17:01.8135765Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:17:01.8135954Z ##[endgroup]
2025-11-03T16:17:01.8225090Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:17:01.8225566Z # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:17:01.8225873Z # shellcheck disable=SC2046
2025-11-03T16:17:01.8226123Z docker stop $(docker ps -q) || true
2025-11-03T16:17:01.8226373Z # Prune all of the docker images
2025-11-03T16:17:01.8226769Z docker system prune -af
2025-11-03T16:17:01.8231989Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:17:01.8232253Z env:
2025-11-03T16:17:01.8232421Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:17:01.8232620Z ##[endgroup]
2025-11-03T16:17:01.8860146Z "docker stop" requires at least 1 argument.
2025-11-03T16:17:01.8860666Z See 'docker stop --help'.
2025-11-03T16:17:01.8860833Z 
2025-11-03T16:17:01.8861249Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-11-03T16:17:01.8861437Z 
2025-11-03T16:17:01.8861669Z Stop one or more running containers
2025-11-03T16:17:01.9127120Z Total reclaimed space: 0B
2025-11-03T16:17:01.9270406Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-11-03T16:17:01.9270738Z with:
2025-11-03T16:17:01.9271315Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:01.9271972Z   use-custom-docker-registry: true
2025-11-03T16:17:01.9272222Z   docker-build-dir: .ci/docker
2025-11-03T16:17:01.9272447Z   docker-build-script: ./build.sh
2025-11-03T16:17:01.9272679Z   working-directory: .
2025-11-03T16:17:01.9272949Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:01.9273246Z   force-push: false
2025-11-03T16:17:01.9273430Z env:
2025-11-03T16:17:01.9273602Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:17:01.9273800Z ##[endgroup]
2025-11-03T16:17:01.9299126Z ##[group]Run set -ex
2025-11-03T16:17:01.9299375Z set -ex
2025-11-03T16:17:01.9299553Z 
2025-11-03T16:17:01.9299901Z # If the docker build directory or the build script doesn't exist, the action will
2025-11-03T16:17:01.9300338Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-11-03T16:17:01.9300729Z # job could then download the pre-built image as usual
2025-11-03T16:17:01.9301178Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-11-03T16:17:01.9301604Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-11-03T16:17:01.9301839Z else
2025-11-03T16:17:01.9302030Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:17:01.9302338Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:17:01.9302612Z 
2025-11-03T16:17:01.9302983Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-11-03T16:17:01.9303385Z   exit 0
2025-11-03T16:17:01.9303545Z fi
2025-11-03T16:17:01.9303705Z 
2025-11-03T16:17:01.9303946Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-11-03T16:17:01.9304339Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-11-03T16:17:01.9304697Z   # use it as it is, but first let's extract the tag
2025-11-03T16:17:01.9305367Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-11-03T16:17:01.9305725Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:17:01.9306060Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:17:01.9306337Z else
2025-11-03T16:17:01.9306545Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-11-03T16:17:01.9306815Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-11-03T16:17:01.9307094Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-11-03T16:17:01.9307326Z   fi
2025-11-03T16:17:01.9307625Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-11-03T16:17:01.9308020Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:17:01.9308578Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:17:01.9309025Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:17:01.9309313Z fi
2025-11-03T16:17:01.9314206Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:17:01.9314460Z env:
2025-11-03T16:17:01.9314634Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:17:01.9314830Z   REPO_NAME: pytorch
2025-11-03T16:17:01.9315506Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:01.9316086Z   DOCKER_BUILD_DIR: .ci/docker
2025-11-03T16:17:01.9316306Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-11-03T16:17:01.9316591Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:01.9316880Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-11-03T16:17:01.9317097Z   CUSTOM_TAG_PREFIX: 
2025-11-03T16:17:01.9317291Z ##[endgroup]
2025-11-03T16:17:01.9340304Z + [[ -d .ci/docker ]]
2025-11-03T16:17:01.9341218Z + [[ -f .ci/docker/./build.sh ]]
2025-11-03T16:17:01.9341699Z + [[ true == \t\r\u\e ]]
2025-11-03T16:17:01.9341925Z + echo skip=false
2025-11-03T16:17:01.9342692Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c == *\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* ]]
2025-11-03T16:17:01.9352770Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:01.9353549Z ++ awk -F '[:,]' '{print $2}'
2025-11-03T16:17:01.9372570Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:01.9373462Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:01.9374859Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:01.9420319Z ##[group]Run set +e
2025-11-03T16:17:01.9420582Z set +e
2025-11-03T16:17:01.9420770Z set -x
2025-11-03T16:17:01.9420949Z 
2025-11-03T16:17:01.9421112Z login() {
2025-11-03T16:17:01.9421466Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-11-03T16:17:01.9421827Z }
2025-11-03T16:17:01.9421990Z 
2025-11-03T16:17:01.9422140Z retry () {
2025-11-03T16:17:01.9422346Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-11-03T16:17:01.9422570Z }
2025-11-03T16:17:01.9422731Z 
2025-11-03T16:17:01.9422900Z retry login "${DOCKER_REGISTRY}"
2025-11-03T16:17:01.9423129Z 
2025-11-03T16:17:01.9423300Z START_TIME=$(date +%s)
2025-11-03T16:17:01.9423526Z # Wait up to 120 minutes
2025-11-03T16:17:01.9423795Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-11-03T16:17:01.9424128Z   # Check if image already exists, if it does then skip building it
2025-11-03T16:17:01.9424468Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-11-03T16:17:01.9424726Z     exit 0
2025-11-03T16:17:01.9425138Z   fi
2025-11-03T16:17:01.9425303Z 
2025-11-03T16:17:01.9425583Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-11-03T16:17:01.9426037Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-11-03T16:17:01.9426483Z   # latter, it will wait for the Docker images to become available before continuing
2025-11-03T16:17:01.9426964Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-11-03T16:17:01.9427246Z     # It's a Docker build job, let's build the image
2025-11-03T16:17:01.9427495Z     break
2025-11-03T16:17:01.9427676Z   else
2025-11-03T16:17:01.9427925Z     # It's a regular build job, wait for the image to become available
2025-11-03T16:17:01.9428204Z     sleep 300
2025-11-03T16:17:01.9428396Z   fi
2025-11-03T16:17:01.9428567Z done
2025-11-03T16:17:01.9428734Z 
2025-11-03T16:17:01.9428979Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-11-03T16:17:01.9429469Z # be empty.  The default action would be to continue rebuild the image
2025-11-03T16:17:01.9429826Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-11-03T16:17:01.9430148Z   # if we're on the base branch then use the parent commit
2025-11-03T16:17:01.9430438Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-11-03T16:17:01.9430663Z else
2025-11-03T16:17:01.9430906Z   # otherwise we're on a PR, so use the most recent base commit
2025-11-03T16:17:01.9431238Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-11-03T16:17:01.9431492Z fi
2025-11-03T16:17:01.9431651Z 
2025-11-03T16:17:01.9431836Z if [[ -z "${MERGE_BASE}" ]]; then
2025-11-03T16:17:01.9432100Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:17:01.9432337Z 
2025-11-03T16:17:01.9433046Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-11-03T16:17:01.9433423Z   exit 0
2025-11-03T16:17:01.9433596Z fi
2025-11-03T16:17:01.9433759Z 
2025-11-03T16:17:01.9433987Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-11-03T16:17:01.9434433Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-11-03T16:17:01.9434822Z   exit 1
2025-11-03T16:17:01.9434997Z fi
2025-11-03T16:17:01.9435159Z 
2025-11-03T16:17:01.9435446Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-11-03T16:17:01.9435883Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-11-03T16:17:01.9436270Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-11-03T16:17:01.9436709Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-11-03T16:17:01.9437204Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-11-03T16:17:01.9437512Z fi
2025-11-03T16:17:01.9437672Z 
2025-11-03T16:17:01.9437868Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:17:01.9442885Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:17:01.9443154Z env:
2025-11-03T16:17:01.9443333Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:17:01.9443539Z   DOCKER_BUILD_DIR: .ci/docker
2025-11-03T16:17:01.9443785Z   BASE_REVISION: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:17:01.9444416Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:01.9445191Z   DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:01.9445764Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:01.9446027Z   DOCKER_PUSH: 
2025-11-03T16:17:01.9446197Z ##[endgroup]
2025-11-03T16:17:01.9498755Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:01.9499124Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:01.9501007Z + aws ecr get-login-password --region us-east-1
2025-11-03T16:17:01.9502203Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:02.4252238Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:17:02.4252718Z Configure a credential helper to remove this warning. See
2025-11-03T16:17:02.4253146Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:17:02.4253405Z 
2025-11-03T16:17:02.4253487Z Login Succeeded
2025-11-03T16:17:02.4271520Z ++ date +%s
2025-11-03T16:17:02.4283128Z + START_TIME=1762186622
2025-11-03T16:17:02.4286888Z ++ date +%s
2025-11-03T16:17:02.4295397Z + [[ 1762179422 -lt 1762186622 ]]
2025-11-03T16:17:02.4296090Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:02.6600039Z {
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2025-11-03T16:17:02.6601119Z 	"config": {
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2025-11-03T16:17:02.6602314Z 	},
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2025-11-03T16:17:02.6611926Z 		},
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2025-11-03T16:17:02.6613601Z 		},
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2025-11-03T16:17:02.6614909Z 		},
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2025-11-03T16:17:02.6620403Z 		},
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2025-11-03T16:17:02.6636020Z 		},
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2025-11-03T16:17:02.6637235Z 		},
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2025-11-03T16:17:02.6638483Z 		},
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2025-11-03T16:17:02.6691246Z + exit 0
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2025-11-03T16:17:02.6694049Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:17:02.6694325Z 			"size": 165,
2025-11-03T16:17:02.6694601Z 			"digest": "sha256:83ecc1143684a6535b14ce79395dec432eca66768055598312e14a7d4522ad8b"
2025-11-03T16:17:02.6694907Z 		},
2025-11-03T16:17:02.6695045Z 		{
2025-11-03T16:17:02.6695277Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:17:02.6695557Z 			"size": 7944,
2025-11-03T16:17:02.6695904Z 			"digest": "sha256:84d7e8a5d95e595a910304a466fdf855f4ffc34878881b1e1a3c9124207fdb5d"
2025-11-03T16:17:02.6696216Z 		},
2025-11-03T16:17:02.6696363Z 		{
2025-11-03T16:17:02.6696593Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:17:02.6696880Z 			"size": 8076,
2025-11-03T16:17:02.6697153Z 			"digest": "sha256:ee91858ea3c4ed12a1a712424c09d95f407c78ceeb31ec21d1874220fa773ce4"
2025-11-03T16:17:02.6697465Z 		},
2025-11-03T16:17:02.6697606Z 		{
2025-11-03T16:17:02.6697826Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:17:02.6698093Z 			"size": 303,
2025-11-03T16:17:02.6698369Z 			"digest": "sha256:a5d33870f153d309e9c3150f196979fdaee17378d91b1ed8257bad66194c99c6"
2025-11-03T16:17:02.6698680Z 		},
2025-11-03T16:17:02.6698828Z 		{
2025-11-03T16:17:02.6699048Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:17:02.6699326Z 			"size": 32,
2025-11-03T16:17:02.6699617Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:17:02.6699936Z 		},
2025-11-03T16:17:02.6700073Z 		{
2025-11-03T16:17:02.6700304Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:17:02.6700581Z 			"size": 108,
2025-11-03T16:17:02.6700862Z 			"digest": "sha256:5af10c4c6ef231eeebee585067812841135c727daab1183fd6a6b244a186cd34"
2025-11-03T16:17:02.6701180Z 		},
2025-11-03T16:17:02.6701323Z 		{
2025-11-03T16:17:02.6701548Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:17:02.6701831Z 			"size": 54145660,
2025-11-03T16:17:02.6702119Z 			"digest": "sha256:6823ad83408ec2d1d628bf5e7cd49d5f6a990ea8001fed41ae77c958e655c8ae"
2025-11-03T16:17:02.6702433Z 		},
2025-11-03T16:17:02.6702580Z 		{
2025-11-03T16:17:02.6702808Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:17:02.6703082Z 			"size": 32,
2025-11-03T16:17:02.6703375Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:17:02.6703700Z 		}
2025-11-03T16:17:02.6703845Z 	]
2025-11-03T16:17:02.6703988Z }
2025-11-03T16:17:02.6742274Z ##[group]Run set -eux
2025-11-03T16:17:02.6742520Z set -eux
2025-11-03T16:17:02.6742827Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-11-03T16:17:02.6743604Z 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
2025-11-03T16:17:02.6749462Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:17:02.6749724Z env:
2025-11-03T16:17:02.6749903Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:17:02.6750101Z ##[endgroup]
2025-11-03T16:17:02.6775470Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-11-03T16:17:02.6776617Z + jq --raw-output .SecretString
2025-11-03T16:17:02.6777310Z + docker login --username pytorchbot --password-stdin
2025-11-03T16:17:02.6778881Z + jq -r .docker_hub_readonly_token
2025-11-03T16:17:03.1936380Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:17:03.1936922Z Configure a credential helper to remove this warning. See
2025-11-03T16:17:03.1937354Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:17:03.1937975Z 
2025-11-03T16:17:03.1938053Z Login Succeeded
2025-11-03T16:17:03.2026712Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-11-03T16:17:03.2027022Z tag=${ECR_DOCKER_IMAGE##*:}
2025-11-03T16:17:03.2027316Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-11-03T16:17:03.2032937Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:17:03.2033213Z env:
2025-11-03T16:17:03.2033394Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:17:03.2034009Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:03.2034615Z ##[endgroup]
2025-11-03T16:17:03.2060361Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:03.2109551Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-11-03T16:17:03.2109936Z with:
2025-11-03T16:17:03.2110596Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:03.2111378Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:03.2111708Z env:
2025-11-03T16:17:03.2111911Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:17:03.2112149Z ##[endgroup]
2025-11-03T16:17:03.2137767Z ##[group]Run set -x
2025-11-03T16:17:03.2138037Z set -x
2025-11-03T16:17:03.2138247Z set +e
2025-11-03T16:17:03.2138452Z 
2025-11-03T16:17:03.2138640Z login() {
2025-11-03T16:17:03.2139044Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-11-03T16:17:03.2139457Z }
2025-11-03T16:17:03.2139649Z 
2025-11-03T16:17:03.2139886Z retry () {
2025-11-03T16:17:03.2140129Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-11-03T16:17:03.2140400Z }
2025-11-03T16:17:03.2140586Z 
2025-11-03T16:17:03.2140793Z retry login "${DOCKER_REGISTRY}"
2025-11-03T16:17:03.2141051Z 
2025-11-03T16:17:03.2141444Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-11-03T16:17:03.2141966Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-11-03T16:17:03.2142271Z 
2025-11-03T16:17:03.2142460Z set -e
2025-11-03T16:17:03.2142750Z # ignore output since only exit code is used for conditional
2025-11-03T16:17:03.2143152Z # only pull docker image if it's not available locally
2025-11-03T16:17:03.2143592Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-11-03T16:17:03.2143992Z   retry docker pull "${DOCKER_IMAGE}"
2025-11-03T16:17:03.2144234Z fi
2025-11-03T16:17:03.2149678Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:17:03.2149961Z env:
2025-11-03T16:17:03.2150148Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:17:03.2150766Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:03.2151458Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:03.2151766Z ##[endgroup]
2025-11-03T16:17:03.2174806Z + set +e
2025-11-03T16:17:03.2175138Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:03.2175471Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:03.2178072Z + aws ecr get-login-password --region us-east-1
2025-11-03T16:17:03.2178571Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:17:03.6974521Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:17:03.6975346Z Configure a credential helper to remove this warning. See
2025-11-03T16:17:03.6975775Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:17:03.6976047Z 
2025-11-03T16:17:03.6976724Z Login Succeeded
2025-11-03T16:17:03.7000710Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:03.7001921Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-11-03T16:17:03.9391303Z + IMAGE_SIZE=29084.48217201233
2025-11-03T16:17:03.9391669Z Compressed size of image in MB: 29084.48217201233
2025-11-03T16:17:03.9394469Z + echo 'Compressed size of image in MB: 29084.48217201233'
2025-11-03T16:17:03.9394752Z + set -e
2025-11-03T16:17:03.9395715Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:03.9541217Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:03.9542263Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:17:04.2246216Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c: Pulling from pytorch/ci-image
2025-11-03T16:17:04.2246924Z 828c1365039a: Pulling fs layer
2025-11-03T16:17:04.2247151Z 1c4ee0d43392: Pulling fs layer
2025-11-03T16:17:04.2247466Z 903f2614f01d: Pulling fs layer
2025-11-03T16:17:04.2247699Z 9a925ed696bf: Pulling fs layer
2025-11-03T16:17:04.2247919Z d91c445dab95: Pulling fs layer
2025-11-03T16:17:04.2248216Z 33a0c5e93563: Pulling fs layer
2025-11-03T16:17:04.2248539Z 760a865b8cf6: Pulling fs layer
2025-11-03T16:17:04.2249357Z 9d9c7be466f8: Pulling fs layer
2025-11-03T16:17:04.2249898Z 8b2beb2cf1cd: Pulling fs layer
2025-11-03T16:17:04.2250184Z 6e5bdc9e922c: Pulling fs layer
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2025-11-03T16:17:04.2262175Z 5af10c4c6ef2: Pulling fs layer
2025-11-03T16:17:04.2262371Z 1a6a81cb899b: Waiting
2025-11-03T16:17:04.2262565Z 6823ad83408e: Pulling fs layer
2025-11-03T16:17:04.2262763Z 87f538f29435: Waiting
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2025-11-03T16:26:21.2218857Z Digest: sha256:882a19f24dba11c5445e0a3a1cb4ef199b1740a1ba310ace5991cb025e30be3b
2025-11-03T16:26:21.3021882Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:26:21.3497603Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:26:21.3549079Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:26:21.3549840Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:26:21.3557750Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:21.3558012Z env:
2025-11-03T16:26:21.3558188Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:21.3558389Z ##[endgroup]
2025-11-03T16:26:21.3637362Z Prepare all required actions
2025-11-03T16:26:21.3879446Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-11-03T16:26:21.3879709Z with:
2025-11-03T16:26:21.3880354Z   github-token: ***
2025-11-03T16:26:21.3880528Z env:
2025-11-03T16:26:21.3880943Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:21.3881140Z ##[endgroup]
2025-11-03T16:26:21.4060858Z ##[group]Run set -eux
2025-11-03T16:26:21.4061100Z set -eux
2025-11-03T16:26:21.4061423Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-11-03T16:26:21.4067000Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:21.4067277Z env:
2025-11-03T16:26:21.4067456Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:21.4067883Z   GITHUB_TOKEN: ***
2025-11-03T16:26:21.4068067Z ##[endgroup]
2025-11-03T16:26:21.4092231Z + python3 .github/scripts/get_workflow_job_id.py 19040285537 i-0ae44a326bd5f2c5d
2025-11-03T16:26:22.5987071Z Setting output job-id=54378387656
2025-11-03T16:26:22.5987650Z Setting output job-name=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:22.6216938Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-11-03T16:26:22.6217478Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-11-03T16:26:22.6218094Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-11-03T16:26:22.6218706Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:26:22.6224120Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:22.6224463Z env:
2025-11-03T16:26:22.6224985Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:22.6225215Z   JOB_ID: 54378387656
2025-11-03T16:26:22.6225537Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:22.6225895Z   WORKFLOW_NAME: inductor
2025-11-03T16:26:22.6226100Z   WORKFLOW_RUN_ID: 19040285537
2025-11-03T16:26:22.6226357Z   MONITOR_LOG_INTERVAL: 5
2025-11-03T16:26:22.6226568Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-11-03T16:26:22.6226791Z ##[endgroup]
2025-11-03T16:26:23.3832011Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:26:23.6952238Z Collecting psutil==5.9.8
2025-11-03T16:26:23.7112794Z   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)
2025-11-03T16:26:23.9176708Z Collecting dataclasses_json==0.6.7
2025-11-03T16:26:23.9220693Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-11-03T16:26:23.9662185Z Collecting nvidia-ml-py==11.525.84
2025-11-03T16:26:23.9699938Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-11-03T16:26:24.1040552Z Collecting marshmallow<4.0.0,>=3.18.0
2025-11-03T16:26:24.1088004Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-11-03T16:26:24.2158358Z Collecting typing-inspect<1,>=0.4.0
2025-11-03T16:26:24.2193798Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-11-03T16:26:24.3828226Z Collecting packaging>=17.0
2025-11-03T16:26:24.3863665Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-11-03T16:26:24.5297801Z Collecting mypy-extensions>=0.3.0
2025-11-03T16:26:24.5340609Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-11-03T16:26:24.6780690Z Collecting typing-extensions>=3.7.4
2025-11-03T16:26:24.6814240Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-11-03T16:26:24.9774852Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-11-03T16:26:25.7618897Z 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
2025-11-03T16:26:26.0524449Z Prepare all required actions
2025-11-03T16:26:26.0524824Z Getting action download info
2025-11-03T16:26:26.3900365Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-11-03T16:26:27.1788220Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-11-03T16:26:29.8569187Z ##[group]Run ./.github/actions/download-build-artifacts
2025-11-03T16:26:29.8569461Z with:
2025-11-03T16:26:29.8569658Z   name: linux-jammy-py3.10-gcc11-build
2025-11-03T16:26:29.8569887Z   s3-bucket: gha-artifacts
2025-11-03T16:26:29.8570085Z env:
2025-11-03T16:26:29.8570251Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:29.8570442Z ##[endgroup]
2025-11-03T16:26:29.8719938Z ##[group]Run seemethere/download-artifact-s3@v4
2025-11-03T16:26:29.8720211Z with:
2025-11-03T16:26:29.8720406Z   name: linux-jammy-py3.10-gcc11-build
2025-11-03T16:26:29.8720642Z   s3-bucket: gha-artifacts
2025-11-03T16:26:29.8720907Z   region: us-east-1
2025-11-03T16:26:29.8721129Z env:
2025-11-03T16:26:29.8721297Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:29.8721489Z ##[endgroup]
2025-11-03T16:26:30.6110954Z (node:48584) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-11-03T16:26:30.6111910Z 
2025-11-03T16:26:30.6112270Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-11-03T16:26:30.6112697Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-11-03T16:26:30.6113090Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-11-03T16:26:31.7028623Z Found 1 objects with prefix pytorch/pytorch/19040285537/linux-jammy-py3.10-gcc11-build/
2025-11-03T16:26:31.7029168Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-11-03T16:26:36.9295529Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-11-03T16:26:36.9300926Z Artifact download has finished successfully
2025-11-03T16:26:36.9499755Z ##[group]Run unzip -o artifacts.zip
2025-11-03T16:26:36.9500033Z unzip -o artifacts.zip
2025-11-03T16:26:36.9506254Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:36.9506552Z env:
2025-11-03T16:26:36.9506733Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:36.9506942Z ##[endgroup]
2025-11-03T16:26:36.9981392Z Archive:  artifacts.zip
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2025-11-03T16:26:44.6537410Z ##[group]Run rm artifacts.zip
2025-11-03T16:26:44.6537776Z rm artifacts.zip
2025-11-03T16:26:44.6543061Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:44.6543352Z env:
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2025-11-03T16:26:44.6543736Z ##[endgroup]
2025-11-03T16:26:44.7609710Z ##[group]Run df -H
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2025-11-03T16:26:44.7615136Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:44.7615424Z env:
2025-11-03T16:26:44.7615624Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:44.7615830Z ##[endgroup]
2025-11-03T16:26:44.7657809Z Filesystem        Size  Used Avail Use% Mounted on
2025-11-03T16:26:44.7658162Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-11-03T16:26:44.7658426Z tmpfs              67G     0   67G   0% /dev/shm
2025-11-03T16:26:44.7658699Z tmpfs              27G  791k   27G   1% /run
2025-11-03T16:26:44.7658952Z /dev/nvme0n1p1    215G   72G  144G  34% /
2025-11-03T16:26:44.7659201Z tmpfs              67G   13k   67G   1% /tmp
2025-11-03T16:26:44.7659466Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-11-03T16:26:44.7687715Z Prepare all required actions
2025-11-03T16:26:44.7688834Z Getting action download info
2025-11-03T16:26:44.9378238Z ##[group]Run ./.github/actions/download-td-artifacts
2025-11-03T16:26:44.9378543Z with:
2025-11-03T16:26:44.9378713Z env:
2025-11-03T16:26:44.9378885Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:44.9379082Z ##[endgroup]
2025-11-03T16:26:44.9449603Z ##[group]Run seemethere/download-artifact-s3@v4
2025-11-03T16:26:44.9449871Z with:
2025-11-03T16:26:44.9450039Z   name: td_results
2025-11-03T16:26:44.9450236Z   s3-bucket: gha-artifacts
2025-11-03T16:26:44.9450446Z   region: us-east-1
2025-11-03T16:26:44.9450622Z env:
2025-11-03T16:26:44.9450782Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:44.9451113Z ##[endgroup]
2025-11-03T16:26:45.5675972Z (node:48605) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-11-03T16:26:45.5676346Z 
2025-11-03T16:26:45.5676597Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-11-03T16:26:45.5677005Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-11-03T16:26:45.5677392Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-11-03T16:26:45.6755723Z Found 0 objects with prefix pytorch/pytorch/19040285537/td_results/
2025-11-03T16:26:45.6759741Z Artifact download has finished successfully
2025-11-03T16:26:45.7084964Z ##[group]Run mkdir -p .additional_ci_files
2025-11-03T16:26:45.7085265Z mkdir -p .additional_ci_files
2025-11-03T16:26:45.7085573Z mv td_results.json .additional_ci_files/td_results.json || true
2025-11-03T16:26:45.7091653Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:45.7091925Z env:
2025-11-03T16:26:45.7092098Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:45.7092291Z ##[endgroup]
2025-11-03T16:26:45.7142599Z mv: cannot stat 'td_results.json': No such file or directory
2025-11-03T16:26:45.7425561Z ##[group]Run .github/scripts/parse_ref.py
2025-11-03T16:26:45.7425871Z .github/scripts/parse_ref.py
2025-11-03T16:26:45.7431286Z shell: /usr/bin/bash -e {0}
2025-11-03T16:26:45.7431504Z env:
2025-11-03T16:26:45.7431685Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:45.7431886Z ##[endgroup]
2025-11-03T16:26:45.8023681Z Setting output branch=main
2025-11-03T16:26:45.8128899Z Prepare all required actions
2025-11-03T16:26:45.8129279Z Getting action download info
2025-11-03T16:26:45.9668090Z ##[group]Run ./.github/actions/filter-test-configs
2025-11-03T16:26:45.9668371Z with:
2025-11-03T16:26:45.9668777Z   github-token: ***
2025-11-03T16:26:45.9670554Z   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"}]}
2025-11-03T16:26:45.9672492Z   job-name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:45.9672851Z env:
2025-11-03T16:26:45.9673023Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:45.9673232Z ##[endgroup]
2025-11-03T16:26:45.9765179Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:26:45.9765430Z with:
2025-11-03T16:26:45.9765605Z   shell: bash
2025-11-03T16:26:45.9765791Z   timeout_minutes: 10
2025-11-03T16:26:45.9765987Z   max_attempts: 5
2025-11-03T16:26:45.9766176Z   retry_wait_seconds: 30
2025-11-03T16:26:45.9766761Z   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

2025-11-03T16:26:45.9767347Z   polling_interval_seconds: 1
2025-11-03T16:26:45.9767581Z   warning_on_retry: true
2025-11-03T16:26:45.9767790Z   continue_on_error: false
2025-11-03T16:26:45.9767990Z env:
2025-11-03T16:26:45.9768158Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:45.9768584Z   GITHUB_TOKEN: ***
2025-11-03T16:26:45.9768775Z ##[endgroup]
2025-11-03T16:26:46.1256335Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-11-03T16:26:46.3249792Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:26:46.5301788Z Collecting requests==2.27.1
2025-11-03T16:26:46.5494646Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-11-03T16:26:46.7095760Z Collecting pyyaml==6.0.2
2025-11-03T16:26:46.7156983Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-11-03T16:26:47.1239966Z Collecting charset-normalizer~=2.0.0
2025-11-03T16:26:47.1275872Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-11-03T16:26:47.2169073Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-11-03T16:26:47.2180093Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-11-03T16:26:47.2622935Z Collecting certifi>=2017.4.17
2025-11-03T16:26:47.2661968Z   Downloading certifi-2025.10.5-py3-none-any.whl (163 kB)
2025-11-03T16:26:47.3512018Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-11-03T16:26:47.6535602Z Successfully installed certifi-2025.10.5 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-11-03T16:26:48.0876941Z Command completed after 1 attempt(s).
2025-11-03T16:26:48.1115830Z ##[group]Run set -x
2025-11-03T16:26:48.1116054Z set -x
2025-11-03T16:26:48.1116228Z 
2025-11-03T16:26:48.1116508Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-11-03T16:26:48.1116835Z # in runner workspace
2025-11-03T16:26:48.1117292Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-11-03T16:26:48.1123415Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:48.1123688Z env:
2025-11-03T16:26:48.1123878Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:48.1124085Z ##[endgroup]
2025-11-03T16:26:48.1148662Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-11-03T16:26:48.1311438Z Setting output branch=main
2025-11-03T16:26:48.1429198Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-11-03T16:26:48.1429524Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-11-03T16:26:48.1429769Z echo "Job name: ${JOB_NAME}"
2025-11-03T16:26:48.1429983Z 
2025-11-03T16:26:48.1430252Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-11-03T16:26:48.1430566Z # in runner workspace
2025-11-03T16:26:48.1430891Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-11-03T16:26:48.1431224Z   --workflow "${GITHUB_WORKFLOW}" \
2025-11-03T16:26:48.1431462Z   --job-name "${JOB_NAME}" \
2025-11-03T16:26:48.1433200Z   --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"}]}" \
2025-11-03T16:26:48.1434980Z   --selected-test-configs "" \
2025-11-03T16:26:48.1435229Z   --pr-number "${PR_NUMBER}" \
2025-11-03T16:26:48.1435463Z   --tag "${TAG}" \
2025-11-03T16:26:48.1435677Z   --event-name "${EVENT_NAME}" \
2025-11-03T16:26:48.1435910Z   --schedule "${SCHEDULE}" \
2025-11-03T16:26:48.1436139Z   --branch "${HEAD_BRANCH}"
2025-11-03T16:26:48.1441387Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:48.1441663Z env:
2025-11-03T16:26:48.1441843Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:48.1442420Z   GITHUB_TOKEN: ***
2025-11-03T16:26:48.1442766Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:48.1443116Z   PR_NUMBER: 
2025-11-03T16:26:48.1443286Z   TAG: 
2025-11-03T16:26:48.1443454Z   EVENT_NAME: push
2025-11-03T16:26:48.1443636Z   SCHEDULE: 
2025-11-03T16:26:48.1443808Z   HEAD_BRANCH: main
2025-11-03T16:26:48.1443988Z ##[endgroup]
2025-11-03T16:26:48.1467198Z Workflow: inductor
2025-11-03T16:26:48.1467760Z Job name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:48.3377960Z Setting output keep-going=True
2025-11-03T16:26:48.3378306Z Setting output ci-verbose-test-logs=False
2025-11-03T16:26:48.3378592Z Setting output ci-test-showlocals=False
2025-11-03T16:26:48.3378892Z Setting output ci-no-test-timeout=False
2025-11-03T16:26:48.3379143Z Setting output ci-no-td=False
2025-11-03T16:26:48.3379375Z Setting output ci-td-distributed=False
2025-11-03T16:26:48.3379623Z Setting output is-unstable=False
2025-11-03T16:26:48.3379857Z Setting output reenabled-issues=
2025-11-03T16:26:48.3382042Z 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"}]}
2025-11-03T16:26:48.3384028Z Setting output is-test-matrix-empty=False
2025-11-03T16:26:48.3597515Z ##[group]Run echo "Filtered matrix:"
2025-11-03T16:26:48.3597796Z echo "Filtered matrix:"
2025-11-03T16:26:48.3599509Z 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"}]}"
2025-11-03T16:26:48.3601222Z 
2025-11-03T16:26:48.3601409Z echo
2025-11-03T16:26:48.3601618Z echo "Is the current job unstable? False"
2025-11-03T16:26:48.3601855Z 
2025-11-03T16:26:48.3602014Z echo
2025-11-03T16:26:48.3602207Z echo "Is keep-going label set? True"
2025-11-03T16:26:48.3602437Z 
2025-11-03T16:26:48.3602584Z echo
2025-11-03T16:26:48.3602763Z echo "Reenabled issues? "
2025-11-03T16:26:48.3607786Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:48.3608060Z env:
2025-11-03T16:26:48.3608240Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:48.3608449Z ##[endgroup]
2025-11-03T16:26:48.3631956Z Filtered matrix:
2025-11-03T16:26:48.3634196Z {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}]}
2025-11-03T16:26:48.3635840Z 
2025-11-03T16:26:48.3635949Z Is the current job unstable? False
2025-11-03T16:26:48.3636122Z 
2025-11-03T16:26:48.3636221Z Is keep-going label set? True
2025-11-03T16:26:48.3636363Z 
2025-11-03T16:26:48.3636447Z Reenabled issues? 
2025-11-03T16:26:48.3760103Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-11-03T16:26:48.3760520Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-11-03T16:26:48.3765469Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:48.3765748Z env:
2025-11-03T16:26:48.3765932Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:48.3766134Z   JOB_TIMEOUT: 240
2025-11-03T16:26:48.3766309Z ##[endgroup]
2025-11-03T16:26:48.3910565Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:26:48.3910963Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:26:48.3911276Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:26:48.3916382Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:48.3916656Z env:
2025-11-03T16:26:48.3916842Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:48.3917044Z ##[endgroup]
2025-11-03T16:26:48.4090400Z ##[group]Run set -x
2025-11-03T16:26:48.4090688Z set -x
2025-11-03T16:26:48.4090868Z 
2025-11-03T16:26:48.4091062Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-11-03T16:26:48.4091356Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-11-03T16:26:48.4091647Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-11-03T16:26:48.4091913Z   TEST_COMMAND=.ci/onnx/test.sh
2025-11-03T16:26:48.4092130Z else
2025-11-03T16:26:48.4092333Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-11-03T16:26:48.4092559Z fi
2025-11-03T16:26:48.4092721Z 
2025-11-03T16:26:48.4092919Z # Leaving 1GB for the runner and other things
2025-11-03T16:26:48.4093318Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-11-03T16:26:48.4093939Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-11-03T16:26:48.4094487Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-11-03T16:26:48.4094844Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-11-03T16:26:48.4095147Z 
2025-11-03T16:26:48.4095354Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-11-03T16:26:48.4095603Z   SHM_OPTS=
2025-11-03T16:26:48.4095788Z   JENKINS_USER=
2025-11-03T16:26:48.4096057Z   # ensure that docker container cleanly exits in 12 hours
2025-11-03T16:26:48.4096388Z   # if for some reason cleanup action doesn't stop container
2025-11-03T16:26:48.4096704Z   # when job is cancelled
2025-11-03T16:26:48.4096939Z   DOCKER_SHELL_CMD="sleep 12h"
2025-11-03T16:26:48.4097152Z else
2025-11-03T16:26:48.4097351Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-11-03T16:26:48.4097601Z   JENKINS_USER="--user jenkins"
2025-11-03T16:26:48.4097835Z   DOCKER_SHELL_CMD=
2025-11-03T16:26:48.4098150Z fi
2025-11-03T16:26:48.4098308Z 
2025-11-03T16:26:48.4098555Z # detached container should get cleaned up by teardown_ec2_linux
2025-11-03T16:26:48.4098920Z # TODO: Stop building test binaries as part of the build phase
2025-11-03T16:26:48.4099322Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-11-03T16:26:48.4099687Z # shellcheck disable=SC2086,SC2090
2025-11-03T16:26:48.4099932Z container_name=$(docker run \
2025-11-03T16:26:48.4100166Z   ${GPU_FLAG:-} \
2025-11-03T16:26:48.4100395Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-11-03T16:26:48.4100638Z   -e BUILD_ENVIRONMENT \
2025-11-03T16:26:48.4100868Z   -e PR_NUMBER \
2025-11-03T16:26:48.4101076Z   -e GITHUB_ACTIONS \
2025-11-03T16:26:48.4101293Z   -e GITHUB_REPOSITORY \
2025-11-03T16:26:48.4101512Z   -e GITHUB_WORKFLOW \
2025-11-03T16:26:48.4101732Z   -e GITHUB_JOB \
2025-11-03T16:26:48.4101934Z   -e GITHUB_RUN_ID \
2025-11-03T16:26:48.4102142Z   -e GITHUB_RUN_NUMBER \
2025-11-03T16:26:48.4102355Z   -e GITHUB_RUN_ATTEMPT \
2025-11-03T16:26:48.4102576Z   -e JOB_ID \
2025-11-03T16:26:48.4102772Z   -e JOB_NAME \
2025-11-03T16:26:48.4102968Z   -e BASE_SHA \
2025-11-03T16:26:48.4103153Z   -e BRANCH \
2025-11-03T16:26:48.4103341Z   -e SHA1 \
2025-11-03T16:26:48.4103535Z   -e AWS_DEFAULT_REGION \
2025-11-03T16:26:48.4103754Z   -e IN_WHEEL_TEST \
2025-11-03T16:26:48.4103953Z   -e SHARD_NUMBER \
2025-11-03T16:26:48.4104159Z   -e TEST_CONFIG \
2025-11-03T16:26:48.4104366Z   -e NUM_TEST_SHARDS \
2025-11-03T16:26:48.4104583Z   -e REENABLED_ISSUES \
2025-11-03T16:26:48.4105022Z   -e CONTINUE_THROUGH_ERROR \
2025-11-03T16:26:48.4105354Z   -e VERBOSE_TEST_LOGS \
2025-11-03T16:26:48.4105578Z   -e TEST_SHOWLOCALS \
2025-11-03T16:26:48.4105789Z   -e NO_TEST_TIMEOUT \
2025-11-03T16:26:48.4105987Z   -e NO_TD \
2025-11-03T16:26:48.4106181Z   -e TD_DISTRIBUTED \
2025-11-03T16:26:48.4106392Z   -e PR_LABELS \
2025-11-03T16:26:48.4106621Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-11-03T16:26:48.4106856Z   -e SCCACHE_BUCKET \
2025-11-03T16:26:48.4107067Z   -e SCCACHE_REGION \
2025-11-03T16:26:48.4107273Z   -e XLA_CUDA \
2025-11-03T16:26:48.4107496Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-11-03T16:26:48.4107758Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-11-03T16:26:48.4108016Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-11-03T16:26:48.4108280Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-11-03T16:26:48.4108527Z   -e HUGGING_FACE_HUB_TOKEN \
2025-11-03T16:26:48.4108772Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-11-03T16:26:48.4109014Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-11-03T16:26:48.4109248Z   -e DASHBOARD_TAG \
2025-11-03T16:26:48.4109462Z   -e ARTIFACTS_FILE_SUFFIX \
2025-11-03T16:26:48.4109727Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-11-03T16:26:48.4110014Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-11-03T16:26:48.4110311Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-11-03T16:26:48.4110591Z   --security-opt seccomp=unconfined \
2025-11-03T16:26:48.4110838Z   --cap-add=SYS_PTRACE \
2025-11-03T16:26:48.4111056Z   --ipc=host \
2025-11-03T16:26:48.4111246Z   ${SHM_OPTS} \
2025-11-03T16:26:48.4111437Z   --tty \
2025-11-03T16:26:48.4111626Z   --detach \
2025-11-03T16:26:48.4111829Z   --name="${container_name}" \
2025-11-03T16:26:48.4112049Z   ${JENKINS_USER} \
2025-11-03T16:26:48.4112308Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-11-03T16:26:48.4112655Z   -w /var/lib/jenkins/workspace \
2025-11-03T16:26:48.4112888Z   "${DOCKER_IMAGE}" \
2025-11-03T16:26:48.4113089Z   ${DOCKER_SHELL_CMD}
2025-11-03T16:26:48.4113286Z )
2025-11-03T16:26:48.4113536Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-11-03T16:26:48.4113825Z 
2025-11-03T16:26:48.4114025Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-11-03T16:26:48.4114432Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-11-03T16:26:48.4114782Z fi
2025-11-03T16:26:48.4114946Z 
2025-11-03T16:26:48.4115286Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-11-03T16:26:48.4120539Z shell: /usr/bin/bash -e {0}
2025-11-03T16:26:48.4120750Z env:
2025-11-03T16:26:48.4120935Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:48.4121186Z   BUILD_ENVIRONMENT: linux-jammy-py3.10-gcc11-build
2025-11-03T16:26:48.4121443Z   PR_NUMBER: 
2025-11-03T16:26:48.4121641Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-11-03T16:26:48.4121873Z   GITHUB_WORKFLOW: inductor
2025-11-03T16:26:48.4122071Z   GITHUB_JOB: test
2025-11-03T16:26:48.4122248Z   GITHUB_RUN_ID: 19040285537
2025-11-03T16:26:48.4122452Z   GITHUB_RUN_NUMBER: 163246
2025-11-03T16:26:48.4122651Z   GITHUB_RUN_ATTEMPT: 1
2025-11-03T16:26:48.4122843Z   JOB_ID: 54378387656
2025-11-03T16:26:48.4123168Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:48.4123514Z   BRANCH: main
2025-11-03T16:26:48.4123723Z   SHA1: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:48.4124003Z   BASE_SHA: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:48.4124270Z   TEST_CONFIG: dynamic_cpu_inductor_torchbench
2025-11-03T16:26:48.4124509Z   SHARD_NUMBER: 1
2025-11-03T16:26:48.4124770Z   NUM_TEST_SHARDS: 2
2025-11-03T16:26:48.4124959Z   EXTRA_FLAGS: 
2025-11-03T16:26:48.4125131Z   OP_BENCHMARK_TESTS: 
2025-11-03T16:26:48.4125320Z   REENABLED_ISSUES: 
2025-11-03T16:26:48.4125512Z   CONTINUE_THROUGH_ERROR: True
2025-11-03T16:26:48.4125727Z   VERBOSE_TEST_LOGS: False
2025-11-03T16:26:48.4125924Z   TEST_SHOWLOCALS: False
2025-11-03T16:26:48.4126123Z   NO_TEST_TIMEOUT: False
2025-11-03T16:26:48.4126310Z   NO_TD: False
2025-11-03T16:26:48.4126488Z   TD_DISTRIBUTED: False
2025-11-03T16:26:48.4126716Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-11-03T16:26:48.4126982Z   SCCACHE_REGION: us-east-1
2025-11-03T16:26:48.4127176Z   SHM_SIZE: 1g
2025-11-03T16:26:48.4127750Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:26:48.4128335Z   XLA_CUDA: 
2025-11-03T16:26:48.4128597Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:26:48.4128939Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-11-03T16:26:48.4129183Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-11-03T16:26:48.4129411Z   DASHBOARD_TAG: 
2025-11-03T16:26:48.4129806Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-11-03T16:26:48.4130105Z   HUGGING_FACE_HUB_TOKEN: ***
2025-11-03T16:26:48.4130432Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-11-03T16:26:48.4130799Z   ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656
2025-11-03T16:26:48.4131207Z ##[endgroup]
2025-11-03T16:26:48.4156054Z + [[ dynamic_cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]]
2025-11-03T16:26:48.4156411Z + [[ linux-jammy-py3.10-gcc11-build == *onnx* ]]
2025-11-03T16:26:48.4156693Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-11-03T16:26:48.4161499Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-11-03T16:26:48.5280100Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 '
2025-11-03T16:26:48.5281005Z + TOTAL_MEMORY_WITH_SWAP=125
2025-11-03T16:26:48.5281407Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-11-03T16:26:48.5282059Z + SHM_OPTS=--shm-size=1g
2025-11-03T16:26:48.5282282Z + JENKINS_USER='--user jenkins'
2025-11-03T16:26:48.5282489Z + DOCKER_SHELL_CMD=
2025-11-03T16:26:48.5288497Z +++ nproc --ignore=2
2025-11-03T16:26:48.5483618Z ++ 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_19040285537 --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-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:27:04.1954673Z + container_name=6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:27:04.1955207Z + echo DOCKER_CONTAINER_ID=6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:27:04.1957463Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-11-03T16:27:04.1962549Z ++ echo dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl
2025-11-03T16:27:04.1964147Z + docker exec -t 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac sh -c 'python3 -m pip install dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-11-03T16:27:04.6574417Z Processing ./dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+git3f6538f)
2025-11-03T16:27:04.8919933Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.18.0)
2025-11-03T16:27:04.8921058Z 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+git3f6538f->torch==2.10.0a0+git3f6538f) (4.15.0)
2025-11-03T16:27:04.8923087Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (1.13.3)
2025-11-03T16:27:04.8929515Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (2.8.8)
2025-11-03T16:27:04.8930430Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.1.6)
2025-11-03T16:27:04.8935119Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (2025.9.0)
2025-11-03T16:27:04.8942347Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.3.0)
2025-11-03T16:27:04.9255166Z 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+git3f6538f->torch==2.10.0a0+git3f6538f) (1.22.4)
2025-11-03T16:27:04.9270734Z 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+git3f6538f->torch==2.10.0a0+git3f6538f) (1.3.0)
2025-11-03T16:27:04.9326794Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.0.3)
2025-11-03T16:27:05.7548459Z Installing collected packages: torch
2025-11-03T16:27:13.9756141Z 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.
2025-11-03T16:27:13.9756846Z dall-e 0.1 requires torchvision, which is not installed.
2025-11-03T16:27:13.9757165Z effdet 0.4.1 requires torchvision, which is not installed.
2025-11-03T16:27:13.9757525Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-11-03T16:27:13.9757948Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-11-03T16:27:13.9758489Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-11-03T16:27:13.9759024Z timm 1.0.14 requires torchvision, which is not installed.
2025-11-03T16:27:13.9759419Z Successfully installed torch-2.10.0a0+git3f6538f
2025-11-03T16:27:14.1240452Z + export TERM=vt100
2025-11-03T16:27:14.1240718Z + TERM=vt100
2025-11-03T16:27:14.1241916Z ++ dirname .ci/pytorch/test.sh
2025-11-03T16:27:14.1251073Z + source .ci/pytorch/common.sh
2025-11-03T16:27:14.1256104Z +++ dirname .ci/pytorch/common.sh
2025-11-03T16:27:14.1261482Z ++ source .ci/pytorch/common_utils.sh
2025-11-03T16:27:14.1261836Z +++ declare -f -t trap_add
2025-11-03T16:27:14.1264407Z ++ set -ex -o pipefail
2025-11-03T16:27:14.1264922Z ++ [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-11-03T16:27:14.1265212Z ++ BUILD_TEST_LIBTORCH=0
2025-11-03T16:27:14.1269890Z ++ dirname .ci/pytorch/test.sh
2025-11-03T16:27:14.1276370Z + source .ci/pytorch/common-build.sh
2025-11-03T16:27:14.1277051Z ++ [[ linux-jammy-py3.10-gcc11-build != *win-* ]]
2025-11-03T16:27:14.1284653Z ++++ dirname .ci/pytorch/common-build.sh
2025-11-03T16:27:14.1295501Z +++ cd .ci/pytorch
2025-11-03T16:27:14.1295739Z +++ pwd -P
2025-11-03T16:27:14.1297031Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-11-03T16:27:14.1297369Z ++ [[ linux-jammy-py3.10-gcc11-build == *-pch* ]]
2025-11-03T16:27:14.1297624Z ++ which sccache
2025-11-03T16:27:14.1322557Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-11-03T16:27:14.1322873Z ++ sccache --stop-server
2025-11-03T16:27:14.1353621Z ++ true
2025-11-03T16:27:14.1354150Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-11-03T16:27:14.1360548Z ++ trap_add sccache_epilogue EXIT
2025-11-03T16:27:14.1360908Z ++ trap_add_cmd=sccache_epilogue
2025-11-03T16:27:14.1361136Z ++ shift
2025-11-03T16:27:14.1361312Z ++ for trap_add_name in "$@"
2025-11-03T16:27:14.1370047Z ++++ trap -p EXIT
2025-11-03T16:27:14.1371976Z +++ eval 'extract_trap_cmd '
2025-11-03T16:27:14.1372215Z ++++ extract_trap_cmd
2025-11-03T16:27:14.1372675Z ++++ printf '%s\n' ''
2025-11-03T16:27:14.1372960Z +++ printf '%s\n' sccache_epilogue
2025-11-03T16:27:14.1373196Z ++ trap -- '
2025-11-03T16:27:14.1373377Z sccache_epilogue' EXIT
2025-11-03T16:27:14.1375545Z ++ [[ -n 1 ]]
2025-11-03T16:27:14.1375897Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-11-03T16:27:14.1376341Z Skipping sccache server initialization, setting environment variables
2025-11-03T16:27:14.1376665Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:27:14.1376889Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:27:14.1377160Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:27:14.1377489Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:27:14.1385410Z ++ export RUST_LOG=sccache::server=error
2025-11-03T16:27:14.1385692Z ++ RUST_LOG=sccache::server=error
2025-11-03T16:27:14.1385927Z ++ sccache --zero-stats
2025-11-03T16:27:14.2684200Z Statistics zeroed.
2025-11-03T16:27:14.2688661Z ++ which ccache
2025-11-03T16:27:14.2727224Z + [[ linux-jammy-py3.10-gcc11-build != *rocm* ]]
2025-11-03T16:27:14.2727935Z + [[ linux-jammy-py3.10-gcc11-build != *s390x* ]]
2025-11-03T16:27:14.2728246Z + [[ -d /var/lib/jenkins/workspace ]]
2025-11-03T16:27:14.2728525Z ++ stat -c %u /var/lib/jenkins/workspace
2025-11-03T16:27:14.2740747Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-11-03T16:27:14.2741259Z + trap_add cleanup_workspace EXIT
2025-11-03T16:27:14.2741642Z + trap_add_cmd=cleanup_workspace
2025-11-03T16:27:14.2741881Z + shift
2025-11-03T16:27:14.2742065Z + for trap_add_name in "$@"
2025-11-03T16:27:14.2752339Z +++ trap -p EXIT
2025-11-03T16:27:14.2752636Z ++ eval 'extract_trap_cmd trap -- '\''
2025-11-03T16:27:14.2752895Z sccache_epilogue'\'' EXIT'
2025-11-03T16:27:14.2753118Z +++ extract_trap_cmd trap -- '
2025-11-03T16:27:14.2753338Z sccache_epilogue' EXIT
2025-11-03T16:27:14.2753536Z +++ printf '%s\n' '
2025-11-03T16:27:14.2753724Z sccache_epilogue'
2025-11-03T16:27:14.2753918Z ++ printf '%s\n' cleanup_workspace
2025-11-03T16:27:14.2755811Z + trap -- '
2025-11-03T16:27:14.2756071Z sccache_epilogue
2025-11-03T16:27:14.2756328Z cleanup_workspace' EXIT
2025-11-03T16:27:14.2756583Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-11-03T16:27:14.7306160Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-11-03T16:27:14.7326334Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:27:14.7326690Z + echo 'Environment variables:'
2025-11-03T16:27:14.7326928Z Environment variables:
2025-11-03T16:27:14.7327152Z + env
2025-11-03T16:27:14.7333643Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:27:14.7333999Z CONTINUE_THROUGH_ERROR=True
2025-11-03T16:27:14.7334273Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-11-03T16:27:14.7334766Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-11-03T16:27:14.7334988Z HOSTNAME=6265937728b4
2025-11-03T16:27:14.7335393Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_ed7f504a-9057-4aba-963a-f7053669ca88
2025-11-03T16:27:14.7336147Z GITHUB_ACTION=__run_3
2025-11-03T16:27:14.7336369Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-11-03T16:27:14.7336600Z GITHUB_RUN_NUMBER=163246
2025-11-03T16:27:14.7336824Z TEST_CONFIG=dynamic_cpu_inductor_torchbench
2025-11-03T16:27:14.7337075Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-11-03T16:27:14.7337317Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-11-03T16:27:14.7337554Z SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:27:14.7337846Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-11-03T16:27:14.7338075Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-11-03T16:27:14.7338308Z GITHUB_REF_TYPE=branch
2025-11-03T16:27:14.7338528Z BASE_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:27:14.7338769Z XLA_CUDA=
2025-11-03T16:27:14.7338946Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-11-03T16:27:14.7339235Z HUGGING_FACE_HUB_TOKEN=***
2025-11-03T16:27:14.7339737Z ***
2025-11-03T16:27:14.7339910Z GITHUB_REPOSITORY_ID=65600975
2025-11-03T16:27:14.7340120Z GITHUB_ACTIONS=true
2025-11-03T16:27:14.7340354Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:27:14.7340639Z SHA1=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:27:14.7340959Z GITHUB_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:27:14.7341318Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-11-03T16:27:14.7341647Z UCC_HOME=/usr
2025-11-03T16:27:14.7341824Z VERBOSE_TEST_LOGS=False
2025-11-03T16:27:14.7342021Z GITHUB_REF=refs/heads/main
2025-11-03T16:27:14.7342212Z SHARD_NUMBER=1
2025-11-03T16:27:14.7342393Z GITHUB_REF_PROTECTED=true
2025-11-03T16:27:14.7342592Z HOME=/var/lib/jenkins
2025-11-03T16:27:14.7342806Z GITHUB_API_URL=https://api.github.com
2025-11-03T16:27:14.7343047Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-11-03T16:27:14.7343262Z UCX_COMMIT=
2025-11-03T16:27:14.7343430Z USE_SYSTEM_NCCL=1
2025-11-03T16:27:14.7343609Z NUM_TEST_SHARDS=2
2025-11-03T16:27:14.7343772Z UCX_HOME=/usr
2025-11-03T16:27:14.7344162Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_ed7f504a-9057-4aba-963a-f7053669ca88
2025-11-03T16:27:14.7344928Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:27:14.7345474Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_ed7f504a-9057-4aba-963a-f7053669ca88
2025-11-03T16:27:14.7345989Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-11-03T16:27:14.7346326Z GITHUB_EVENT_NAME=push
2025-11-03T16:27:14.7346517Z DASHBOARD_TAG=
2025-11-03T16:27:14.7346700Z GITHUB_RUN_ID=19040285537
2025-11-03T16:27:14.7346893Z INSTALLED_OPENBLAS=
2025-11-03T16:27:14.7347418Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_ed7f504a-9057-4aba-963a-f7053669ca88
2025-11-03T16:27:14.7347875Z GITHUB_ACTOR=pytorchmergebot
2025-11-03T16:27:14.7348080Z PR_NUMBER=
2025-11-03T16:27:14.7348238Z DESIRED_CUDA=
2025-11-03T16:27:14.7348413Z GITHUB_RUN_ATTEMPT=1
2025-11-03T16:27:14.7348615Z ANACONDA_PYTHON_VERSION=3.10
2025-11-03T16:27:14.7348870Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-11-03T16:27:14.7349112Z TERM=vt100
2025-11-03T16:27:14.7349283Z INSTALLED_VISION=yes
2025-11-03T16:27:14.7349468Z BRANCH=main
2025-11-03T16:27:14.7349646Z SCCACHE_REGION=us-east-1
2025-11-03T16:27:14.7349848Z OPENSSL_ROOT_DIR=/opt/openssl
2025-11-03T16:27:14.7350065Z BUILD_AOT_INDUCTOR_TEST=yes
2025-11-03T16:27:14.7350272Z CUDA_PATH=/usr/local/cuda
2025-11-03T16:27:14.7350629Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-11-03T16:27:14.7351009Z GITHUB_SERVER_URL=https://github.com
2025-11-03T16:27:14.7351228Z UCC_COMMIT=
2025-11-03T16:27:14.7351435Z REENABLED_ISSUES=
2025-11-03T16:27:14.7351630Z DOCS=yes
2025-11-03T16:27:14.7351787Z SHLVL=1
2025-11-03T16:27:14.7351945Z MAX_JOBS=30
2025-11-03T16:27:14.7352115Z GITHUB_ACTOR_ID=97764156
2025-11-03T16:27:14.7352367Z GITHUB_WORKFLOW_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:27:14.7352703Z GITHUB_REF_NAME=main
2025-11-03T16:27:14.7352990Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:27:14.7353286Z GITHUB_JOB=test
2025-11-03T16:27:14.7353468Z NO_TEST_TIMEOUT=False
2025-11-03T16:27:14.7353650Z TD_DISTRIBUTED=False
2025-11-03T16:27:14.7353851Z GITHUB_REPOSITORY=pytorch/pytorch
2025-11-03T16:27:14.7354191Z GITHUB_RETENTION_DAYS=90
2025-11-03T16:27:14.7354403Z OPENSSL_DIR=/opt/openssl
2025-11-03T16:27:14.7354594Z GITHUB_ACTION_REPOSITORY=
2025-11-03T16:27:14.7355119Z 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
2025-11-03T16:27:14.7355630Z GITHUB_BASE_REF=
2025-11-03T16:27:14.7355811Z INSTALLED_ACL=
2025-11-03T16:27:14.7356127Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656
2025-11-03T16:27:14.7356480Z CI=true
2025-11-03T16:27:14.7356657Z GITHUB_REPOSITORY_OWNER=pytorch
2025-11-03T16:27:14.7356935Z RUST_LOG=sccache::server=error
2025-11-03T16:27:14.7357135Z JOB_ID=54378387656
2025-11-03T16:27:14.7357315Z GITHUB_HEAD_REF=
2025-11-03T16:27:14.7357494Z GITHUB_ACTION_REF=
2025-11-03T16:27:14.7357718Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-11-03T16:27:14.7357966Z TEST_SHOWLOCALS=False
2025-11-03T16:27:14.7358162Z GITHUB_WORKFLOW=inductor
2025-11-03T16:27:14.7358367Z DEBIAN_FRONTEND=noninteractive
2025-11-03T16:27:14.7358789Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_ed7f504a-9057-4aba-963a-f7053669ca88
2025-11-03T16:27:14.7359198Z NO_TD=False
2025-11-03T16:27:14.7359384Z SKIP_SCCACHE_INITIALIZATION=1
2025-11-03T16:27:14.7359615Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-11-03T16:27:14.7359840Z _=/usr/bin/env
2025-11-03T16:27:14.7360076Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-11-03T16:27:14.7592153Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-11-03T16:27:14.7592704Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T16:27:14.7593463Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-11-03T16:27:14.7593873Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-11-03T16:27:14.7594181Z + BUILD_DIR=build
2025-11-03T16:27:14.7594394Z + BUILD_RENAMED_DIR=build_renamed
2025-11-03T16:27:14.7594622Z + BUILD_BIN_DIR=build/bin
2025-11-03T16:27:14.7594827Z + SHARD_NUMBER=1
2025-11-03T16:27:14.7595002Z + NUM_TEST_SHARDS=2
2025-11-03T16:27:14.7595207Z + export TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:27:14.7595442Z + TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:27:14.7595654Z + export VALGRIND=ON
2025-11-03T16:27:14.7595834Z + VALGRIND=ON
2025-11-03T16:27:14.7596055Z + [[ linux-jammy-py3.10-gcc11-build == *clang9* ]]
2025-11-03T16:27:14.7596340Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-11-03T16:27:14.7596579Z + detect_cuda_arch
2025-11-03T16:27:14.7596786Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:27:14.7597060Z + [[ linux-jammy-py3.10-gcc11-build == *s390x* ]]
2025-11-03T16:27:14.7597295Z + [[ 0 == \1 ]]
2025-11-03T16:27:14.7597465Z + [[ True == \1 ]]
2025-11-03T16:27:14.7597664Z + [[ linux-jammy-py3.10-gcc11-build != *bazel* ]]
2025-11-03T16:27:14.7597923Z ++ realpath build/custom_test_artifacts
2025-11-03T16:27:14.7602407Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-11-03T16:27:14.7602764Z + [[ -n '' ]]
2025-11-03T16:27:14.7602955Z + echo 'Environment variables'
2025-11-03T16:27:14.7603166Z Environment variables
2025-11-03T16:27:14.7603359Z + env
2025-11-03T16:27:14.7636770Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:27:14.7637209Z CONTINUE_THROUGH_ERROR=True
2025-11-03T16:27:14.7637479Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-11-03T16:27:14.7638052Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-11-03T16:27:14.7638281Z HOSTNAME=6265937728b4
2025-11-03T16:27:14.7638993Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_ed7f504a-9057-4aba-963a-f7053669ca88
2025-11-03T16:27:14.7639437Z GITHUB_ACTION=__run_3
2025-11-03T16:27:14.7639644Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-11-03T16:27:14.7639866Z GITHUB_RUN_NUMBER=163246
2025-11-03T16:27:14.7640090Z TEST_CONFIG=dynamic_cpu_inductor_torchbench
2025-11-03T16:27:14.7640346Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-11-03T16:27:14.7640602Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-11-03T16:27:14.7640831Z SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:27:14.7641126Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-11-03T16:27:14.7641356Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-11-03T16:27:14.7641584Z GITHUB_REF_TYPE=branch
2025-11-03T16:27:14.7641799Z BASE_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:27:14.7642042Z XLA_CUDA=
2025-11-03T16:27:14.7642220Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-11-03T16:27:14.7642669Z HUGGING_FACE_HUB_TOKEN=***
2025-11-03T16:27:14.7642938Z ***
2025-11-03T16:27:14.7643108Z GITHUB_REPOSITORY_ID=65600975
2025-11-03T16:27:14.7643321Z GITHUB_ACTIONS=true
2025-11-03T16:27:14.7643547Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:27:14.7643827Z SHA1=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:27:14.7644088Z GITHUB_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:27:14.7644451Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-11-03T16:27:14.7644779Z UCC_HOME=/usr
2025-11-03T16:27:14.7644960Z TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:27:14.7645159Z VERBOSE_TEST_LOGS=False
2025-11-03T16:27:14.7645356Z GITHUB_REF=refs/heads/main
2025-11-03T16:27:14.7645552Z SHARD_NUMBER=1
2025-11-03T16:27:14.7645731Z GITHUB_REF_PROTECTED=true
2025-11-03T16:27:14.7645923Z HOME=/var/lib/jenkins
2025-11-03T16:27:14.7646137Z GITHUB_API_URL=https://api.github.com
2025-11-03T16:27:14.7646379Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-11-03T16:27:14.7646590Z UCX_COMMIT=
2025-11-03T16:27:14.7646748Z USE_SYSTEM_NCCL=1
2025-11-03T16:27:14.7647013Z NUM_TEST_SHARDS=2
2025-11-03T16:27:14.7647186Z UCX_HOME=/usr
2025-11-03T16:27:14.7647572Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_ed7f504a-9057-4aba-963a-f7053669ca88
2025-11-03T16:27:14.7648113Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:27:14.7648662Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_ed7f504a-9057-4aba-963a-f7053669ca88
2025-11-03T16:27:14.7649298Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-11-03T16:27:14.7649661Z GITHUB_EVENT_NAME=push
2025-11-03T16:27:14.7649848Z DASHBOARD_TAG=
2025-11-03T16:27:14.7650029Z GITHUB_RUN_ID=19040285537
2025-11-03T16:27:14.7650237Z INSTALLED_OPENBLAS=
2025-11-03T16:27:14.7650641Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_ed7f504a-9057-4aba-963a-f7053669ca88
2025-11-03T16:27:14.7651082Z GITHUB_ACTOR=pytorchmergebot
2025-11-03T16:27:14.7651280Z PR_NUMBER=
2025-11-03T16:27:14.7651442Z DESIRED_CUDA=
2025-11-03T16:27:14.7651612Z GITHUB_RUN_ATTEMPT=1
2025-11-03T16:27:14.7651784Z VALGRIND=ON
2025-11-03T16:27:14.7651965Z ANACONDA_PYTHON_VERSION=3.10
2025-11-03T16:27:14.7652281Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-11-03T16:27:14.7652521Z TERM=vt100
2025-11-03T16:27:14.7652674Z INSTALLED_VISION=yes
2025-11-03T16:27:14.7652854Z BRANCH=main
2025-11-03T16:27:14.7653022Z SCCACHE_REGION=us-east-1
2025-11-03T16:27:14.7653222Z OPENSSL_ROOT_DIR=/opt/openssl
2025-11-03T16:27:14.7653421Z BUILD_AOT_INDUCTOR_TEST=yes
2025-11-03T16:27:14.7653618Z CUDA_PATH=/usr/local/cuda
2025-11-03T16:27:14.7653966Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-11-03T16:27:14.7654346Z GITHUB_SERVER_URL=https://github.com
2025-11-03T16:27:14.7654553Z UCC_COMMIT=
2025-11-03T16:27:14.7654715Z REENABLED_ISSUES=
2025-11-03T16:27:14.7654883Z DOCS=yes
2025-11-03T16:27:14.7655104Z SHLVL=1
2025-11-03T16:27:14.7655253Z MAX_JOBS=30
2025-11-03T16:27:14.7655531Z GITHUB_ACTOR_ID=97764156
2025-11-03T16:27:14.7655792Z GITHUB_WORKFLOW_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:27:14.7656055Z GITHUB_REF_NAME=main
2025-11-03T16:27:14.7656323Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:27:14.7656614Z GITHUB_JOB=test
2025-11-03T16:27:14.7656788Z NO_TEST_TIMEOUT=False
2025-11-03T16:27:14.7656972Z TD_DISTRIBUTED=False
2025-11-03T16:27:14.7657160Z GITHUB_REPOSITORY=pytorch/pytorch
2025-11-03T16:27:14.7657380Z GITHUB_RETENTION_DAYS=90
2025-11-03T16:27:14.7657572Z OPENSSL_DIR=/opt/openssl
2025-11-03T16:27:14.7657763Z GITHUB_ACTION_REPOSITORY=
2025-11-03T16:27:14.7658263Z 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
2025-11-03T16:27:14.7658761Z GITHUB_BASE_REF=
2025-11-03T16:27:14.7658931Z INSTALLED_ACL=
2025-11-03T16:27:14.7659251Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656
2025-11-03T16:27:14.7659586Z CI=true
2025-11-03T16:27:14.7659754Z GITHUB_REPOSITORY_OWNER=pytorch
2025-11-03T16:27:14.7660018Z RUST_LOG=sccache::server=error
2025-11-03T16:27:14.7660216Z JOB_ID=54378387656
2025-11-03T16:27:14.7660380Z GITHUB_HEAD_REF=
2025-11-03T16:27:14.7660558Z GITHUB_ACTION_REF=
2025-11-03T16:27:14.7660781Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-11-03T16:27:14.7661034Z TEST_SHOWLOCALS=False
2025-11-03T16:27:14.7661217Z GITHUB_WORKFLOW=inductor
2025-11-03T16:27:14.7661418Z DEBIAN_FRONTEND=noninteractive
2025-11-03T16:27:14.7661839Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_ed7f504a-9057-4aba-963a-f7053669ca88
2025-11-03T16:27:14.7662262Z NO_TD=False
2025-11-03T16:27:14.7662429Z SKIP_SCCACHE_INITIALIZATION=1
2025-11-03T16:27:14.7662653Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-11-03T16:27:14.7662875Z _=/usr/bin/env
2025-11-03T16:27:14.7663152Z + echo 'Testing pytorch'
2025-11-03T16:27:14.7663343Z Testing pytorch
2025-11-03T16:27:14.7663524Z + export LANG=C.UTF-8
2025-11-03T16:27:14.7663711Z + LANG=C.UTF-8
2025-11-03T16:27:14.7663887Z + PR_NUMBER=
2025-11-03T16:27:14.7664097Z + [[ dynamic_cpu_inductor_torchbench == \d\e\f\a\u\l\t ]]
2025-11-03T16:27:14.7664413Z + [[ dynamic_cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-11-03T16:27:14.7664914Z + [[ dynamic_cpu_inductor_torchbench == \s\l\o\w ]]
2025-11-03T16:27:14.7665232Z + [[ linux-jammy-py3.10-gcc11-build == *slow-gradcheck* ]]
2025-11-03T16:27:14.7665532Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:27:14.7665794Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-11-03T16:27:14.7666061Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-11-03T16:27:14.7666341Z + [[ dynamic_cpu_inductor_torchbench == *crossref* ]]
2025-11-03T16:27:14.7666607Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-11-03T16:27:14.7666858Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-11-03T16:27:14.7667123Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-11-03T16:27:14.7667372Z + pip_install ninja==1.10.2
2025-11-03T16:27:14.7667644Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-11-03T16:27:14.7668077Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-11-03T16:27:15.6381135Z Collecting ninja==1.10.2
2025-11-03T16:27:15.6542065Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-11-03T16:27:15.6851182Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-11-03T16:27:16.5368239Z Installing collected packages: ninja
2025-11-03T16:27:16.5371130Z   Attempting uninstall: ninja
2025-11-03T16:27:16.5375540Z     Found existing installation: ninja 1.11.1.4
2025-11-03T16:27:16.5395263Z     Uninstalling ninja-1.11.1.4:
2025-11-03T16:27:16.5600927Z       Successfully uninstalled ninja-1.11.1.4
2025-11-03T16:27:16.6646875Z Successfully installed ninja-1.10.2
2025-11-03T16:27:16.8057379Z + 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
2025-11-03T16:27:16.8058449Z + 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
2025-11-03T16:27:16.8059088Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-11-03T16:27:16.8059391Z + [[ linux-jammy-py3.10-gcc11-build == *asan* ]]
2025-11-03T16:27:16.8059683Z + [[ linux-jammy-py3.10-gcc11-build == *-debug* ]]
2025-11-03T16:27:16.8059960Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-11-03T16:27:16.8060354Z + echo 'We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass'
2025-11-03T16:27:16.8060864Z We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass
2025-11-03T16:27:16.8061220Z + cd test
2025-11-03T16:27:16.8061482Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-11-03T16:27:17.1857350Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:27:17.1858503Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:18.1899567Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-11-03T16:27:18.1899989Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-11-03T16:27:18.1900380Z + [[ dynamic_cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-11-03T16:27:18.1901228Z + DYNAMO_BENCHMARK_FLAGS=()
2025-11-03T16:27:18.1901632Z + [[ dynamic_cpu_inductor_torchbench == *pr_time_benchmarks* ]]
2025-11-03T16:27:18.1902390Z + [[ dynamic_cpu_inductor_torchbench == *dynamo_eager* ]]
2025-11-03T16:27:18.1902695Z + [[ dynamic_cpu_inductor_torchbench == *aot_eager* ]]
2025-11-03T16:27:18.1902990Z + [[ dynamic_cpu_inductor_torchbench == *aot_inductor* ]]
2025-11-03T16:27:18.1903321Z + [[ dynamic_cpu_inductor_torchbench == *max_autotune_inductor* ]]
2025-11-03T16:27:18.1903644Z + [[ dynamic_cpu_inductor_torchbench == *inductor* ]]
2025-11-03T16:27:18.1903961Z + [[ dynamic_cpu_inductor_torchbench != *perf* ]]
2025-11-03T16:27:18.1904268Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-11-03T16:27:18.1904540Z + [[ dynamic_cpu_inductor_torchbench == *dynamic* ]]
2025-11-03T16:27:18.1905193Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only)
2025-11-03T16:27:18.1905537Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]]
2025-11-03T16:27:18.1905788Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-11-03T16:27:18.2302301Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-11-03T16:27:18.2302783Z + [[ linux-jammy-py3.10-gcc11-build == *-bazel-* ]]
2025-11-03T16:27:18.2303058Z + cd test
2025-11-03T16:27:18.2303306Z + python -c 'import torch; print(torch.__config__.show())'
2025-11-03T16:27:18.5713222Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:27:18.5714717Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:19.2506579Z PyTorch built with:
2025-11-03T16:27:19.2506869Z   - GCC 11.4
2025-11-03T16:27:19.2507063Z   - C++ Version: 201703
2025-11-03T16:27:19.2507488Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-11-03T16:27:19.2508029Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-11-03T16:27:19.2508841Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-11-03T16:27:19.2509140Z   - LAPACK is enabled (usually provided by MKL)
2025-11-03T16:27:19.2509409Z   - NNPACK is enabled
2025-11-03T16:27:19.2509620Z   - CPU capability usage: AVX512
2025-11-03T16:27:19.2512674Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=3f6538febd727b782e6e13cfd026a309fb14351d, 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, 
2025-11-03T16:27:19.2515813Z 
2025-11-03T16:27:19.5521774Z + cd test
2025-11-03T16:27:19.5522148Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-11-03T16:27:19.8954895Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:27:19.8955933Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:20.5761069Z ATen/Parallel:
2025-11-03T16:27:20.5761411Z 	at::get_num_threads() : 16
2025-11-03T16:27:20.5762128Z 	at::get_num_interop_threads() : 16
2025-11-03T16:27:20.5762371Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-11-03T16:27:20.5762601Z 	omp_get_max_threads() : 16
2025-11-03T16:27:20.5763001Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-11-03T16:27:20.5763386Z 	mkl_get_max_threads() : 16
2025-11-03T16:27:20.5763678Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-11-03T16:27:20.5763994Z std::thread::hardware_concurrency() : 32
2025-11-03T16:27:20.5764231Z Environment variables:
2025-11-03T16:27:20.5764434Z 	OMP_NUM_THREADS : [not set]
2025-11-03T16:27:20.5764633Z 	MKL_NUM_THREADS : [not set]
2025-11-03T16:27:20.5764842Z ATen parallel backend: OpenMP
2025-11-03T16:27:20.5764976Z 
2025-11-03T16:27:20.8808325Z + [[ dynamic_cpu_inductor_torchbench == *numpy_2* ]]
2025-11-03T16:27:20.8808883Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-11-03T16:27:20.8809822Z + [[ dynamic_cpu_inductor_torchbench == *backward* ]]
2025-11-03T16:27:20.8810192Z + [[ dynamic_cpu_inductor_torchbench == *xla* ]]
2025-11-03T16:27:20.8810462Z + [[ dynamic_cpu_inductor_torchbench == *vllm* ]]
2025-11-03T16:27:20.8810750Z + [[ dynamic_cpu_inductor_torchbench == *executorch* ]]
2025-11-03T16:27:20.8811079Z + [[ dynamic_cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-11-03T16:27:20.8811409Z + [[ dynamic_cpu_inductor_torchbench == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-11-03T16:27:20.8811729Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-11-03T16:27:20.8812012Z + [[ dynamic_cpu_inductor_torchbench == distributed ]]
2025-11-03T16:27:20.8812322Z + [[ dynamic_cpu_inductor_torchbench == *operator_benchmark* ]]
2025-11-03T16:27:20.8812661Z + [[ dynamic_cpu_inductor_torchbench == *operator_microbenchmark* ]]
2025-11-03T16:27:20.8813005Z + [[ dynamic_cpu_inductor_torchbench == *inductor_distributed* ]]
2025-11-03T16:27:20.8813337Z + [[ dynamic_cpu_inductor_torchbench == *inductor-halide* ]]
2025-11-03T16:27:20.8814975Z + [[ dynamic_cpu_inductor_torchbench == *inductor-triton-cpu* ]]
2025-11-03T16:27:20.8815360Z + [[ dynamic_cpu_inductor_torchbench == *inductor-micro-benchmark* ]]
2025-11-03T16:27:20.8815735Z + [[ dynamic_cpu_inductor_torchbench == *aoti_cross_compile_for_windows* ]]
2025-11-03T16:27:20.8816076Z + [[ dynamic_cpu_inductor_torchbench == *huggingface* ]]
2025-11-03T16:27:20.8816354Z + [[ dynamic_cpu_inductor_torchbench == *timm* ]]
2025-11-03T16:27:20.8816637Z + [[ dynamic_cpu_inductor_torchbench == cachebench ]]
2025-11-03T16:27:20.8816924Z + [[ dynamic_cpu_inductor_torchbench == verify_cachebench ]]
2025-11-03T16:27:20.8817218Z + [[ dynamic_cpu_inductor_torchbench == *torchbench* ]]
2025-11-03T16:27:20.8817461Z + install_torchaudio
2025-11-03T16:27:20.8817659Z + local commit
2025-11-03T16:27:20.8817849Z ++ get_pinned_commit audio
2025-11-03T16:27:20.8818067Z ++ cat .github/ci_commit_pins/audio.txt
2025-11-03T16:27:20.8822800Z + commit=3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2
2025-11-03T16:27:20.8823417Z + pip_build_and_install git+https://github.com/pytorch/audio.git@3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2 dist/audio
2025-11-03T16:27:20.8824058Z + local build_target=git+https://github.com/pytorch/audio.git@3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2
2025-11-03T16:27:20.8824452Z + local wheel_dir=dist/audio
2025-11-03T16:27:20.8824665Z + local found_whl=0
2025-11-03T16:27:20.8825110Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:27:20.8825463Z + [[ -f dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl ]]
2025-11-03T16:27:20.8825784Z + found_whl=1
2025-11-03T16:27:20.8825953Z + break
2025-11-03T16:27:20.8826154Z + '[' 1 == 0 ']'
2025-11-03T16:27:20.8826346Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:27:20.8826686Z + pip_install_whl dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:27:20.8827135Z + args=('dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl')
2025-11-03T16:27:20.8827494Z + local args
2025-11-03T16:27:20.8827809Z + [[ dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-11-03T16:27:20.8828505Z + for path in "${args[@]}"
2025-11-03T16:27:20.8828827Z + echo 'Installing dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl'
2025-11-03T16:27:20.8829274Z Installing dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:27:20.8829796Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:27:21.2074929Z Processing ./dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:27:21.2133368Z Installing collected packages: torchaudio
2025-11-03T16:27:21.3810518Z Successfully installed torchaudio-2.10.0a0+3b0e7a6
2025-11-03T16:27:21.4250345Z + install_torchvision
2025-11-03T16:27:21.4250828Z + local orig_preload
2025-11-03T16:27:21.4251119Z + local commit
2025-11-03T16:27:21.4251329Z ++ get_pinned_commit vision
2025-11-03T16:27:21.4251603Z ++ cat .github/ci_commit_pins/vision.txt
2025-11-03T16:27:21.4284318Z + commit=cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:27:21.4284646Z + orig_preload=
2025-11-03T16:27:21.4284837Z + '[' -n '' ']'
2025-11-03T16:27:21.4285053Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:27:21.4285555Z + pip_build_and_install git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c dist/vision
2025-11-03T16:27:21.4286338Z + local build_target=git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:27:21.4286749Z + local wheel_dir=dist/vision
2025-11-03T16:27:21.4286966Z + local found_whl=0
2025-11-03T16:27:21.4287177Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:27:21.4287513Z + [[ -f dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl ]]
2025-11-03T16:27:21.4287840Z + found_whl=1
2025-11-03T16:27:21.4288012Z + break
2025-11-03T16:27:21.4288173Z + '[' 1 == 0 ']'
2025-11-03T16:27:21.4288358Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:27:21.4289111Z + pip_install_whl dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:27:21.4289579Z + args=('dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl')
2025-11-03T16:27:21.4289907Z + local args
2025-11-03T16:27:21.4290205Z + [[ dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-11-03T16:27:21.4290565Z + for path in "${args[@]}"
2025-11-03T16:27:21.4290910Z + echo 'Installing dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl'
2025-11-03T16:27:21.4291385Z Installing dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:27:21.4291939Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:27:21.7457623Z Processing ./dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:27:21.7533356Z Installing collected packages: torchvision
2025-11-03T16:27:22.1529862Z Successfully installed torchvision-0.25.0a0+cfbc5c2
2025-11-03T16:27:22.1982925Z + '[' -n '' ']'
2025-11-03T16:27:22.1983204Z + id=0
2025-11-03T16:27:22.1983415Z + pip_install opencv-python==4.8.0.74
2025-11-03T16:27:22.1983731Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-11-03T16:27:22.1984074Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-11-03T16:27:22.6061043Z Collecting opencv-python==4.8.0.74
2025-11-03T16:27:22.6221178Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-11-03T16:27:22.6319072Z 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)
2025-11-03T16:27:22.6404111Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-11-03T16:27:23.8972936Z Installing collected packages: opencv-python
2025-11-03T16:27:23.8973324Z   Attempting uninstall: opencv-python
2025-11-03T16:27:23.8982838Z     Found existing installation: opencv-python 4.11.0.86
2025-11-03T16:27:23.9047007Z     Uninstalling opencv-python-4.11.0.86:
2025-11-03T16:27:23.9884237Z       Successfully uninstalled opencv-python-4.11.0.86
2025-11-03T16:27:24.9028326Z Successfully installed opencv-python-4.8.0.74
2025-11-03T16:27:25.0376811Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-11-03T16:27:25.0377311Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-11-03T16:27:25.0377715Z + [[ dynamic_cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]]
2025-11-03T16:27:25.0378038Z + [[ dynamic_cpu_inductor_torchbench != *cpu* ]]
2025-11-03T16:27:25.0378291Z + PYTHONPATH=/torchbench
2025-11-03T16:27:25.0378513Z + test_dynamo_benchmark torchbench 0
2025-11-03T16:27:25.0378742Z ++ pwd
2025-11-03T16:27:25.0383122Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-11-03T16:27:25.0383499Z + local suite=torchbench
2025-11-03T16:27:25.0383756Z + shift
2025-11-03T16:27:25.0383926Z + local shard_id=0
2025-11-03T16:27:25.0384231Z + shift
2025-11-03T16:27:25.0384462Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]]
2025-11-03T16:27:25.0385089Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]]
2025-11-03T16:27:25.0385378Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]]
2025-11-03T16:27:25.0385640Z + local dt=float32
2025-11-03T16:27:25.0385857Z + [[ dynamic_cpu_inductor_torchbench == *amp* ]]
2025-11-03T16:27:25.0386270Z + [[ dynamic_cpu_inductor_torchbench == *freezing* ]]
2025-11-03T16:27:25.0386639Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32
2025-11-03T16:27:25.0388880Z ++ pwd
2025-11-03T16:27:25.0392253Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-11-03T16:27:25.0392894Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-11-03T16:27:25.0407904Z + local name=inference
2025-11-03T16:27:25.0408157Z + shift
2025-11-03T16:27:25.0408782Z + local suite=torchbench
2025-11-03T16:27:25.0409009Z + shift
2025-11-03T16:27:25.0409193Z + local shard_id=0
2025-11-03T16:27:25.0409376Z + shift
2025-11-03T16:27:25.0409540Z + partition_flags=()
2025-11-03T16:27:25.0409744Z + local partition_flags
2025-11-03T16:27:25.0409946Z + [[ -n 2 ]]
2025-11-03T16:27:25.0410117Z + [[ -n 0 ]]
2025-11-03T16:27:25.0410418Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-11-03T16:27:25.0410828Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]]
2025-11-03T16:27:25.0411119Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]]
2025-11-03T16:27:25.0411393Z + [[ dynamic_cpu_inductor_torchbench == *_avx2* ]]
2025-11-03T16:27:25.0411667Z + [[ dynamic_cpu_inductor_torchbench == *_avx512* ]]
2025-11-03T16:27:25.0412605Z + 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
2025-11-03T16:27:25.3647033Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:27:25.3648419Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:28.0880094Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:27:28.0881040Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:30.3871881Z 
2025-11-03T16:27:31.9174827Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:27:31.9180151Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:27:31.9193045Z cpu  eval  BERT_pytorch                       
2025-11-03T16:27:32.4337188Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:32.6637977Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:32.9057096Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:58.7514772Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7515295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7515683Z     return mod(*inputs)
2025-11-03T16:27:58.7516107Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7516540Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7516982Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward
2025-11-03T16:27:58.7517436Z     mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1)
2025-11-03T16:27:58.7517695Z 
2025-11-03T16:27:58.7517823Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7518263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7518645Z     return mod(*inputs)
2025-11-03T16:27:58.7519054Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7519487Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7519867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward
2025-11-03T16:27:58.7520250Z     x = self.embedding(x, segment_info)
2025-11-03T16:27:58.7520665Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward
2025-11-03T16:27:58.7521602Z     x = self.token(sequence) + self.position(sequence) + self.segment(segment_label)
2025-11-03T16:27:58.7521856Z 
2025-11-03T16:27:58.7521977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7522510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7522875Z     return mod(*inputs)
2025-11-03T16:27:58.7523259Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7523661Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7524042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7524436Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7524842Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7525279Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7525708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7526171Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7526625Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7527077Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7527568Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7528004Z     query, key, value = [
2025-11-03T16:27:58.7528430Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7528953Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7529144Z 
2025-11-03T16:27:58.7529271Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7529673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7530182Z     return mod(*inputs)
2025-11-03T16:27:58.7530560Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7530975Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7531356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7531743Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7532468Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7532910Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7533346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7533800Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7534257Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7534708Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7535174Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7535599Z     query, key, value = [
2025-11-03T16:27:58.7536004Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7536490Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7536682Z 
2025-11-03T16:27:58.7536802Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7537211Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7537569Z     return mod(*inputs)
2025-11-03T16:27:58.7538001Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7538420Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7538787Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7539175Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7539575Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7539995Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7540422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7540873Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7541307Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7541743Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7542215Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7542712Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7543197Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7543705Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7543992Z 
2025-11-03T16:27:58.7544120Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7544528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7544977Z     return mod(*inputs)
2025-11-03T16:27:58.7545360Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7545775Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7546152Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7546604Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7547036Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7547475Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7547887Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7548335Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7548765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7549211Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7549667Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7550154Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7550627Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7551124Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7551350Z 
2025-11-03T16:27:58.7571026Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7571552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7571930Z     return mod(*inputs)
2025-11-03T16:27:58.7572332Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7572762Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7573153Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7573549Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7574168Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7574627Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7575085Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7575554Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7575991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7576436Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7576907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7577399Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7577884Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7578390Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7578633Z 
2025-11-03T16:27:58.7578759Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7579174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7579540Z     return mod(*inputs)
2025-11-03T16:27:58.7579919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7580318Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7580696Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7581080Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7581477Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7581892Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7582385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7582836Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7583273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7583712Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7584167Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7584586Z     query, key, value = [
2025-11-03T16:27:58.7585260Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7585748Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7585939Z 
2025-11-03T16:27:58.7586075Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7586724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7587100Z     return mod(*inputs)
2025-11-03T16:27:58.7587481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7587887Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7588253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7588650Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7589048Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7589478Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7589906Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7590514Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7590959Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7591399Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7591864Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7592358Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7592829Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7593270Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7593439Z 
2025-11-03T16:27:58.7593563Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7593969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7594333Z     return mod(*inputs)
2025-11-03T16:27:58.7594711Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7595115Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7595486Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7595869Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7596258Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7596676Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7597096Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7597536Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7597962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7598473Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7598929Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7599405Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7599872Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7600291Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7600460Z 
2025-11-03T16:27:58.7600579Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7600980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7601340Z     return mod(*inputs)
2025-11-03T16:27:58.7601713Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7602114Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7602490Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7602876Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7603268Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7603681Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7604094Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7604534Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7604962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7605402Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7605885Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.7606390Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.7606610Z 
2025-11-03T16:27:58.7606728Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7607131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7607491Z     return mod(*inputs)
2025-11-03T16:27:58.7607857Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7608260Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7608629Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7609019Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7609403Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7609829Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7610250Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7610699Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7611126Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7611566Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7612018Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.7612442Z     return self.output_linear(x)
2025-11-03T16:27:58.7612580Z 
2025-11-03T16:27:58.7612703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7613105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7613455Z     return mod(*inputs)
2025-11-03T16:27:58.7613831Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7614276Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7614646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7615016Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7615408Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7615823Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7616245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7616689Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7617137Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7617607Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7617811Z 
2025-11-03T16:27:58.7617929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7618329Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7618687Z     return mod(*inputs)
2025-11-03T16:27:58.7619053Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7619461Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7619830Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7620207Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7620592Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7621004Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7621500Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7621944Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7622391Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7622843Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7623036Z 
2025-11-03T16:27:58.7623150Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7623545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7623899Z     return mod(*inputs)
2025-11-03T16:27:58.7624261Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7624661Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7625134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7625523Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7625921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7626342Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7626768Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7627217Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7627674Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7628140Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7628329Z 
2025-11-03T16:27:58.7628445Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7628851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7629258Z     return mod(*inputs)
2025-11-03T16:27:58.7629634Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7630044Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7630422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7630809Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7631211Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7631644Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7632065Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7632510Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7632965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7633410Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7633893Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7634326Z     query, key, value = [
2025-11-03T16:27:58.7634762Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7635261Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7635448Z 
2025-11-03T16:27:58.7635570Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7635982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7636358Z     return mod(*inputs)
2025-11-03T16:27:58.7636739Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7637216Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7637586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7637969Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7638369Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7638798Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7639214Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7639672Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7640117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7640566Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7641068Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7641501Z     query, key, value = [
2025-11-03T16:27:58.7641927Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7642412Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7642595Z 
2025-11-03T16:27:58.7642721Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7643125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7643497Z     return mod(*inputs)
2025-11-03T16:27:58.7643877Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7644309Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7644675Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7645045Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7645477Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7645888Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7646297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7646729Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7647138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7647570Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7648015Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7648485Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7648949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7649435Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7649668Z 
2025-11-03T16:27:58.7649784Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7650182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7650541Z     return mod(*inputs)
2025-11-03T16:27:58.7650902Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7651315Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7651687Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7652068Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7652461Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7652908Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7653333Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7653787Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7654216Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7654650Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7655097Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7655578Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7656050Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7656556Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7656787Z 
2025-11-03T16:27:58.7656913Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7657494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7657863Z     return mod(*inputs)
2025-11-03T16:27:58.7658243Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7658648Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7659011Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7659393Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7659786Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7660202Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7660629Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7662116Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7662546Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7662978Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7663440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7663915Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7664385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7664960Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7665200Z 
2025-11-03T16:27:58.7665329Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7665744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7666105Z     return mod(*inputs)
2025-11-03T16:27:58.7666484Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7666901Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7667279Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7667661Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7668052Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7668470Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7668896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7669352Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7669828Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7670271Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7670730Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7671164Z     query, key, value = [
2025-11-03T16:27:58.7671572Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7672040Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7672230Z 
2025-11-03T16:27:58.7672350Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7672749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7673109Z     return mod(*inputs)
2025-11-03T16:27:58.7673486Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7673888Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7674258Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7674638Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7675033Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7675446Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7675879Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7676323Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7676754Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7677192Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7677663Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7678196Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7678682Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7679125Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7679288Z 
2025-11-03T16:27:58.7679414Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7679825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7680193Z     return mod(*inputs)
2025-11-03T16:27:58.7680582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7681001Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7681380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7681773Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7682182Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7682612Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7683049Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7683499Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7683944Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7684398Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7684882Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7685408Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7685886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7686514Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7686680Z 
2025-11-03T16:27:58.7686812Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7687218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7687574Z     return mod(*inputs)
2025-11-03T16:27:58.7687954Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7688368Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7688753Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7689141Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7689517Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7689922Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7690328Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7690765Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7691175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7691606Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7692049Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.7692536Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.7692742Z 
2025-11-03T16:27:58.7692862Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7693246Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7693730Z     return mod(*inputs)
2025-11-03T16:27:58.7694093Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7694493Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7694858Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7695236Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7695615Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7696025Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7696433Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7696855Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7697277Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7697702Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7698144Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.7698549Z     return self.output_linear(x)
2025-11-03T16:27:58.7698684Z 
2025-11-03T16:27:58.7698796Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7699181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7699526Z     return mod(*inputs)
2025-11-03T16:27:58.7699882Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7700269Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7700696Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7701079Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7701477Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7701889Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7702298Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7702735Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7703184Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7703656Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7703849Z 
2025-11-03T16:27:58.7703967Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7704359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7704794Z     return mod(*inputs)
2025-11-03T16:27:58.7705175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7705584Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7705961Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7706350Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7706745Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7707154Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7707582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7708027Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7708488Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7709004Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7709197Z 
2025-11-03T16:27:58.7709314Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7709712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7710090Z     return mod(*inputs)
2025-11-03T16:27:58.7710454Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7710865Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7711236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7711614Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7712003Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7712422Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7712845Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7713288Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7713733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7714193Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7714378Z 
2025-11-03T16:27:58.7714494Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7714890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7715247Z     return mod(*inputs)
2025-11-03T16:27:58.7715613Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7716020Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7716433Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7716819Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7717213Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7717636Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7718056Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7718506Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7718694Z 
2025-11-03T16:27:58.7718811Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7719208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7719574Z     return mod(*inputs)
2025-11-03T16:27:58.7719957Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7720363Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7720734Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7721110Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7721503Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7721928Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7722350Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7722796Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7723229Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7723668Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7724137Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7724616Z     query, key, value = [
2025-11-03T16:27:58.7725033Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7725496Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7725684Z 
2025-11-03T16:27:58.7725800Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7726199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7726573Z     return mod(*inputs)
2025-11-03T16:27:58.7726945Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7727347Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7727719Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7728094Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7728482Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7728894Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7729311Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7729750Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7730169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7730612Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7731058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7731478Z     query, key, value = [
2025-11-03T16:27:58.7731920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7732398Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7732580Z 
2025-11-03T16:27:58.7733164Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7733565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7733935Z     return mod(*inputs)
2025-11-03T16:27:58.7734316Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7734737Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7735117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7735498Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7735898Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7736333Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7736768Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7737210Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7737647Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7738090Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7738557Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7739047Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7739525Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7740032Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7740314Z 
2025-11-03T16:27:58.7740432Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7740836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7741196Z     return mod(*inputs)
2025-11-03T16:27:58.7741564Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7741969Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7742343Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7742723Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7743112Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7743529Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7743947Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7744392Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7744901Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7745340Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7745804Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7746293Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7746763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7747263Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7747493Z 
2025-11-03T16:27:58.7747610Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7748064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7748432Z     return mod(*inputs)
2025-11-03T16:27:58.7748802Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7749205Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7749578Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7749955Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7750351Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7750772Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7751185Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7751635Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7752066Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7752505Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7752965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7753444Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7753917Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7754417Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7754642Z 
2025-11-03T16:27:58.7754769Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7755170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7755527Z     return mod(*inputs)
2025-11-03T16:27:58.7755903Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7756374Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7756748Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7757120Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7757508Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7757932Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7758355Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7758803Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7759237Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7759675Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7760137Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7760561Z     query, key, value = [
2025-11-03T16:27:58.7760968Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7761449Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7761636Z 
2025-11-03T16:27:58.7761754Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7762154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7762529Z     return mod(*inputs)
2025-11-03T16:27:58.7762901Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7763310Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7763723Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7764109Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7764503Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7764927Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7765351Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7765799Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7766237Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7766673Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7767152Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7767640Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7768112Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7768546Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7768704Z 
2025-11-03T16:27:58.7768819Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7769219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7769576Z     return mod(*inputs)
2025-11-03T16:27:58.7769944Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7770352Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7770717Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7771088Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7771481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7771936Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7772346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7772796Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7773222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7773663Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7774122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7774609Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7775084Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7775513Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7775672Z 
2025-11-03T16:27:58.7775797Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7776196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7776546Z     return mod(*inputs)
2025-11-03T16:27:58.7776916Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7777324Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7777692Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7778073Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7778464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7778873Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7779343Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7779790Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7780212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7780644Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7781099Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.7781583Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.7781795Z 
2025-11-03T16:27:58.7781921Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7782313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7782673Z     return mod(*inputs)
2025-11-03T16:27:58.7783043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7783448Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7783808Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7784186Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7784577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7785082Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7785518Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7785956Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7786552Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7786998Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7787565Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.7787986Z     return self.output_linear(x)
2025-11-03T16:27:58.7788133Z 
2025-11-03T16:27:58.7788249Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7788650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7789010Z     return mod(*inputs)
2025-11-03T16:27:58.7789380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7789784Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7790164Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7790533Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7790919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7791318Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7791724Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7792159Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7792597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7793047Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7793228Z 
2025-11-03T16:27:58.7793340Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7793726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7794076Z     return mod(*inputs)
2025-11-03T16:27:58.7794494Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7794887Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7795241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7795607Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7795988Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7796396Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7796796Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7797234Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7797667Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7798111Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7798292Z 
2025-11-03T16:27:58.7798416Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7798798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7799158Z     return mod(*inputs)
2025-11-03T16:27:58.7799524Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7799919Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7800274Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7800634Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7801023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7801434Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7801845Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7802321Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7802755Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7803230Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7803414Z 
2025-11-03T16:27:58.7803539Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7803937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7804309Z     return mod(*inputs)
2025-11-03T16:27:58.7804673Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7805064Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7805418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7805778Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7806173Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7806575Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7806986Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7807447Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7807865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7808295Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7808750Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7809161Z     query, key, value = [
2025-11-03T16:27:58.7809611Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7810072Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7810255Z 
2025-11-03T16:27:58.7810368Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7810754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7811101Z     return mod(*inputs)
2025-11-03T16:27:58.7811462Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7811859Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7812217Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7812582Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7812959Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7813360Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7813770Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7814197Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7814611Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7815041Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7815476Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7815878Z     query, key, value = [
2025-11-03T16:27:58.7816272Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7816737Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7816911Z 
2025-11-03T16:27:58.7817024Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7817457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7817808Z     return mod(*inputs)
2025-11-03T16:27:58.7818173Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7818572Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7818925Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7819294Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7819674Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7820084Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7820486Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7820916Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7821333Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7821753Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7822194Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7822654Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7823114Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7823599Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7823823Z 
2025-11-03T16:27:58.7823948Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7824343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7824796Z     return mod(*inputs)
2025-11-03T16:27:58.7825189Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7825589Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7825959Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7826328Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7826719Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7827130Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7827551Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7827988Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7828405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7828838Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7829299Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7829778Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7830244Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7830726Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7830960Z 
2025-11-03T16:27:58.7831079Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7831476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7831835Z     return mod(*inputs)
2025-11-03T16:27:58.7832202Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7832649Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7833023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7833403Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7833798Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7834211Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7834633Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7835079Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7835510Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7835952Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7836408Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7836891Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7837356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7837855Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7838082Z 
2025-11-03T16:27:58.7838207Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7838601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7838964Z     return mod(*inputs)
2025-11-03T16:27:58.7839338Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7839750Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7840172Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7840559Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7840965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7841376Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7841805Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7842252Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7842680Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7843111Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7843575Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7844001Z     query, key, value = [
2025-11-03T16:27:58.7844398Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7844862Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7845037Z 
2025-11-03T16:27:58.7845160Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7845562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7845929Z     return mod(*inputs)
2025-11-03T16:27:58.7846313Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7846716Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7847087Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7847470Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7847857Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7848313Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7848728Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7849164Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7849585Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7850016Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7850464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7850942Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7851399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7851820Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7851987Z 
2025-11-03T16:27:58.7852100Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7852500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7852850Z     return mod(*inputs)
2025-11-03T16:27:58.7853210Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7853595Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7853953Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7854317Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7854695Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7855099Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7855557Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7856015Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7856439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7856871Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7857308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7857788Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7858244Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7858670Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7858826Z 
2025-11-03T16:27:58.7858945Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7859330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7859679Z     return mod(*inputs)
2025-11-03T16:27:58.7860041Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7860438Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7860792Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7861158Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7861541Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7861951Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7862371Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7862805Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7863241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7863721Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7864175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.7864666Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.7864949Z 
2025-11-03T16:27:58.7865070Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7865478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7865839Z     return mod(*inputs)
2025-11-03T16:27:58.7866214Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7866614Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7866996Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7867381Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7867779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7868196Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7868609Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7869058Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7869491Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7869928Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7870382Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.7870811Z     return self.output_linear(x)
2025-11-03T16:27:58.7870956Z 
2025-11-03T16:27:58.7871171Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7871582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7871943Z     return mod(*inputs)
2025-11-03T16:27:58.7872308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7872719Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7873090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7873472Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7873867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7874287Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7874710Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7875155Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7875604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7876060Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7876257Z 
2025-11-03T16:27:58.7876373Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7876774Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7877131Z     return mod(*inputs)
2025-11-03T16:27:58.7877499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7877902Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7878277Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7878652Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7879101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7879506Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7879920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7880362Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7880807Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7881263Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7881449Z 
2025-11-03T16:27:58.7881564Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7881960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7882315Z     return mod(*inputs)
2025-11-03T16:27:58.7882683Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7883096Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7883457Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7883836Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7884237Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7884712Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7885118Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7885567Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7886012Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7886743Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7886942Z 
2025-11-03T16:27:58.7887069Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7887461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7887834Z     return mod(*inputs)
2025-11-03T16:27:58.7888216Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7888629Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7889011Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7889367Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7889761Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7890171Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7890588Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7891024Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7891209Z 
2025-11-03T16:27:58.7891321Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7891706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7892052Z     return mod(*inputs)
2025-11-03T16:27:58.7892412Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7892803Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7893172Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7893549Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7893942Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7894364Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7894836Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7895268Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7895682Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7896111Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7896545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7896956Z     query, key, value = [
2025-11-03T16:27:58.7897348Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7897803Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7897975Z 
2025-11-03T16:27:58.7898099Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7898479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7898832Z     return mod(*inputs)
2025-11-03T16:27:58.7899198Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7899600Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7899962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7900339Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7900729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7901148Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7901562Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7902029Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7902463Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7902896Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7903351Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7903767Z     query, key, value = [
2025-11-03T16:27:58.7904165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7904633Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7904882Z 
2025-11-03T16:27:58.7905006Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7905412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7905765Z     return mod(*inputs)
2025-11-03T16:27:58.7906144Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7906543Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7906913Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7907290Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7907675Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7908091Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7908512Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7908956Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7909375Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7909809Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7910316Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7910800Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7911273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7911764Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7912000Z 
2025-11-03T16:27:58.7912118Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7912517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7912879Z     return mod(*inputs)
2025-11-03T16:27:58.7913254Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7913653Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7914029Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7914407Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7914799Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7915216Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7915637Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7916079Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7916506Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7916947Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7917440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7917928Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7918388Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7918884Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7919111Z 
2025-11-03T16:27:58.7919236Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7919628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7919986Z     return mod(*inputs)
2025-11-03T16:27:58.7920353Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7920765Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7921136Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7921511Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7921913Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7922328Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7922739Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7923171Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7923599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7924023Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7924464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7924939Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7925449Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7925935Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7926167Z 
2025-11-03T16:27:58.7926283Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7926675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7927055Z     return mod(*inputs)
2025-11-03T16:27:58.7927406Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7927804Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7928176Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7928555Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7928950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7929382Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7929797Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7930234Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7930659Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7931080Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7931524Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7931932Z     query, key, value = [
2025-11-03T16:27:58.7932325Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7932829Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7933012Z 
2025-11-03T16:27:58.7933128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7933519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7933867Z     return mod(*inputs)
2025-11-03T16:27:58.7934226Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7934620Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7934980Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7935347Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7935737Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7936155Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7936555Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7936992Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7937419Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7937865Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7938313Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7938800Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7939264Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7939699Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7939858Z 
2025-11-03T16:27:58.7939982Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7940377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7940786Z     return mod(*inputs)
2025-11-03T16:27:58.7941157Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7941569Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7941943Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7942314Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7942708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7943131Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7943551Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7943985Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7944416Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7944938Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7945404Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7945887Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7946351Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7946780Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7946949Z 
2025-11-03T16:27:58.7947067Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7947475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7947837Z     return mod(*inputs)
2025-11-03T16:27:58.7948248Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7948662Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7949034Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7949413Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7949796Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7950211Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7950632Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7951076Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7951505Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7951928Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7952391Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.7952878Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.7953090Z 
2025-11-03T16:27:58.7953213Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7953610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7953961Z     return mod(*inputs)
2025-11-03T16:27:58.7954331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7954739Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7955119Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7955476Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7955859Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7956307Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7956717Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7957158Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7957567Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7958001Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7958444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.7958862Z     return self.output_linear(x)
2025-11-03T16:27:58.7958997Z 
2025-11-03T16:27:58.7959115Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7959333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7959407Z     return mod(*inputs)
2025-11-03T16:27:58.7959665Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7959744Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7959971Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7960052Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7960290Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7960396Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7960645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7960769Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7961068Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7961201Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7961205Z 
2025-11-03T16:27:58.7961324Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7961535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7961613Z     return mod(*inputs)
2025-11-03T16:27:58.7961858Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7961943Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7962161Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7962240Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7962486Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7962584Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7962841Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7962955Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7963213Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7963348Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7963352Z 
2025-11-03T16:27:58.7963461Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7963681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7963749Z     return mod(*inputs)
2025-11-03T16:27:58.7964002Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7964085Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7964347Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7964434Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7964679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7964783Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7965036Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7965151Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7965412Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7965536Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7965540Z 
2025-11-03T16:27:58.7965660Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7965883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7965957Z     return mod(*inputs)
2025-11-03T16:27:58.7966217Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7966293Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7966520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7966599Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7966843Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7966948Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7967202Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7967324Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7967596Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7967725Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7967991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7968067Z     query, key, value = [
2025-11-03T16:27:58.7968349Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7968468Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7968472Z 
2025-11-03T16:27:58.7968590Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7968811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7968882Z     return mod(*inputs)
2025-11-03T16:27:58.7969136Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7969215Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7969439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7969519Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7969769Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7969872Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7970126Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7970249Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7970495Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7970620Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7970942Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7971017Z     query, key, value = [
2025-11-03T16:27:58.7971308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7971426Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7971430Z 
2025-11-03T16:27:58.7971548Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7971766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7971834Z     return mod(*inputs)
2025-11-03T16:27:58.7972094Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7972171Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7972399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7972481Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7972732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7972827Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7973070Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7973191Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7973422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7973545Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7973806Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7973983Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7974251Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7974415Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7974419Z 
2025-11-03T16:27:58.7974540Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7974753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7974832Z     return mod(*inputs)
2025-11-03T16:27:58.7975079Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7975157Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7975386Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7975466Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7975716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7975817Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7976065Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7976188Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7976426Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7976550Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7976816Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7976951Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7977218Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7977422Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7977426Z 
2025-11-03T16:27:58.7977548Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7977759Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7977837Z     return mod(*inputs)
2025-11-03T16:27:58.7978081Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7978158Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7978383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7978463Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7978707Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7978805Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7979050Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7979172Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7979407Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7979529Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7979792Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7979933Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7980186Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.7980346Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.7980349Z 
2025-11-03T16:27:58.7980504Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7980718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7980796Z     return mod(*inputs)
2025-11-03T16:27:58.7981042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7981118Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7981344Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7981424Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7981670Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7981766Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7982009Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7982139Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7982376Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7982501Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7982764Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.7982845Z     query, key, value = [
2025-11-03T16:27:58.7983120Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.7983239Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.7983243Z 
2025-11-03T16:27:58.7983369Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7983586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7983669Z     return mod(*inputs)
2025-11-03T16:27:58.7983961Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7984040Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7984270Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7984351Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7984600Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7984698Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7985045Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7985174Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7985422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7985555Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7985829Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7985980Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7986401Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7986518Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7986522Z 
2025-11-03T16:27:58.7986644Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7986856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7986934Z     return mod(*inputs)
2025-11-03T16:27:58.7987180Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7987347Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7987582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7987660Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7987906Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7988002Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7988256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7988373Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7988611Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7988736Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7989008Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.7989159Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.7989413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.7989512Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.7989516Z 
2025-11-03T16:27:58.7989635Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7989848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7989927Z     return mod(*inputs)
2025-11-03T16:27:58.7990173Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7990260Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7990481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7990565Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7990882Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7990979Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7991231Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7991347Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7991583Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7991709Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7991972Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.7992129Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.7992133Z 
2025-11-03T16:27:58.7992247Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7992469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7992539Z     return mod(*inputs)
2025-11-03T16:27:58.7992784Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7992869Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7993089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7993175Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7993413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.7993509Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.7993765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7993933Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7994178Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.7994293Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.7994553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.7994642Z     return self.output_linear(x)
2025-11-03T16:27:58.7994646Z 
2025-11-03T16:27:58.7994758Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7994984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7995053Z     return mod(*inputs)
2025-11-03T16:27:58.7995296Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7995380Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7995606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7995693Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7995931Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7996033Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7996277Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7996391Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7996658Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7996781Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7996784Z 
2025-11-03T16:27:58.7996901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7997111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7997219Z     return mod(*inputs)
2025-11-03T16:27:58.7997481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7997561Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7997798Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.7997879Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.7998133Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.7998229Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.7998480Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.7998618Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.7998880Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.7999013Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.7999017Z 
2025-11-03T16:27:58.7999127Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.7999334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.7999411Z     return mod(*inputs)
2025-11-03T16:27:58.7999654Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.7999739Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.7999958Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8000037Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8000318Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8000418Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8000669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8000781Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8001045Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8001168Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8001172Z 
2025-11-03T16:27:58.8001280Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8001496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8001565Z     return mod(*inputs)
2025-11-03T16:27:58.8001814Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8001892Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8002110Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8002198Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8002432Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8002533Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8002776Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8002890Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8002900Z 
2025-11-03T16:27:58.8003013Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8003226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8003305Z     return mod(*inputs)
2025-11-03T16:27:58.8003566Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8003685Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8003910Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8003989Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8004235Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8004332Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8004601Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8004716Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8004977Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8005103Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8005370Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8005452Z     query, key, value = [
2025-11-03T16:27:58.8005741Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8005866Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8005870Z 
2025-11-03T16:27:58.8005984Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8006206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8006285Z     return mod(*inputs)
2025-11-03T16:27:58.8006540Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8006625Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8006876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8006960Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8007209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8007304Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8007569Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8007687Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8007962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8008088Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8008354Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8008438Z     query, key, value = [
2025-11-03T16:27:58.8008733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8008859Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8008863Z 
2025-11-03T16:27:58.8008974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8009186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8009265Z     return mod(*inputs)
2025-11-03T16:27:58.8009518Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8009602Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8009823Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8009903Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8010160Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8010304Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8010563Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8010676Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8010922Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8011044Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8011305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8011449Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8011712Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8011888Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8011891Z 
2025-11-03T16:27:58.8012004Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8012213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8012289Z     return mod(*inputs)
2025-11-03T16:27:58.8012542Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8012625Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8012846Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8012928Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8013187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8013333Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8013599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8013715Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8013981Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8014101Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8014371Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8014519Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8014779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8014952Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8014956Z 
2025-11-03T16:27:58.8015073Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8015295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8015374Z     return mod(*inputs)
2025-11-03T16:27:58.8015622Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8015707Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8015932Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8016023Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8016269Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8016366Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8016624Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8016790Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8017043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8017164Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8017436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8017584Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8017846Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8018016Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8018019Z 
2025-11-03T16:27:58.8018134Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8018359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8018435Z     return mod(*inputs)
2025-11-03T16:27:58.8018685Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8018775Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8019000Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8019088Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8019328Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8019424Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8019681Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8019805Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8020100Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8020228Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8020499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8020582Z     query, key, value = [
2025-11-03T16:27:58.8020862Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8020991Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8020995Z 
2025-11-03T16:27:58.8021108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8021333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8021404Z     return mod(*inputs)
2025-11-03T16:27:58.8021658Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8021750Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8021978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8022069Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8022313Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8022410Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8022675Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8022793Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8023050Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8023170Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8023443Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8023660Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8023922Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8024031Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8024035Z 
2025-11-03T16:27:58.8024149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8024376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8024448Z     return mod(*inputs)
2025-11-03T16:27:58.8024700Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8024869Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8025112Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8025205Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8025453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8025550Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8025812Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8025931Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8026185Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8026308Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8026580Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8026732Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8027037Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8027153Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8027157Z 
2025-11-03T16:27:58.8027273Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8027503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8027576Z     return mod(*inputs)
2025-11-03T16:27:58.8027830Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8027918Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8028144Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8028232Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8028477Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8028578Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8028839Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8028958Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8029214Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8029334Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8029616Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.8029766Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.8029770Z 
2025-11-03T16:27:58.8029883Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8030116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8030232Z     return mod(*inputs)
2025-11-03T16:27:58.8030495Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8030574Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8030803Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8030895Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8031140Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8031246Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8031502Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8031621Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8031879Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8032004Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8032285Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.8032369Z     return self.output_linear(x)
2025-11-03T16:27:58.8032373Z 
2025-11-03T16:27:58.8032494Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8032712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8032783Z     return mod(*inputs)
2025-11-03T16:27:58.8033044Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8033122Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8033356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8033477Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8033725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8033829Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8034080Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8034206Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8034470Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8034604Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8034608Z 
2025-11-03T16:27:58.8034718Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8034936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8035016Z     return mod(*inputs)
2025-11-03T16:27:58.8035269Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8035356Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8035582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8035663Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8035914Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8036011Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8036270Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8036388Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8036648Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8036789Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8036827Z 
2025-11-03T16:27:58.8036943Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8037167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8037240Z     return mod(*inputs)
2025-11-03T16:27:58.8037500Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8037579Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8037805Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8037895Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8038139Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8038244Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8038499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8038620Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8038896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8039023Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8039027Z 
2025-11-03T16:27:58.8039146Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8039361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8039439Z     return mod(*inputs)
2025-11-03T16:27:58.8039689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8039770Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8040040Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8040127Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8040378Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8040474Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8040725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8040851Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8041096Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8041222Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8041491Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8041566Z     query, key, value = [
2025-11-03T16:27:58.8041858Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8041980Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8041985Z 
2025-11-03T16:27:58.8042103Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8042318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8042395Z     return mod(*inputs)
2025-11-03T16:27:58.8042646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8042723Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8042958Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8043038Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8043290Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8043442Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8043694Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8043823Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8044064Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8044190Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8044460Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8044536Z     query, key, value = [
2025-11-03T16:27:58.8044826Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8044947Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8044954Z 
2025-11-03T16:27:58.8045078Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8045294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8045372Z     return mod(*inputs)
2025-11-03T16:27:58.8045624Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8045702Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8045937Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8046019Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8046271Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8046369Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8046671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8046803Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8047040Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8047166Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8047428Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8047565Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8047825Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8047988Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8047992Z 
2025-11-03T16:27:58.8048110Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8048324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8048403Z     return mod(*inputs)
2025-11-03T16:27:58.8048648Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8048726Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8048952Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8049030Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8049270Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8049363Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8049607Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8049735Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8049981Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8050156Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8050428Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8050574Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8050833Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8050999Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8051003Z 
2025-11-03T16:27:58.8051125Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8051341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8051419Z     return mod(*inputs)
2025-11-03T16:27:58.8051673Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8051754Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8051988Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8052070Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8052328Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8052422Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8052666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8052789Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8053022Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8053180Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8053455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8053602Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8053860Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8054024Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8054028Z 
2025-11-03T16:27:58.8054152Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8054372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8054450Z     return mod(*inputs)
2025-11-03T16:27:58.8054703Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8054786Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8055025Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8055107Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8055359Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8055457Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8055716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8055836Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8056083Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8056212Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8056487Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8056608Z     query, key, value = [
2025-11-03T16:27:58.8056896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8057016Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8057030Z 
2025-11-03T16:27:58.8057144Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8057360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8057439Z     return mod(*inputs)
2025-11-03T16:27:58.8057696Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8057794Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8058023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8058102Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8058356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8058456Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8058715Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8058833Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8059079Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8059206Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8059480Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8059624Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8059921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8060028Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8060041Z 
2025-11-03T16:27:58.8060154Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8060370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8060451Z     return mod(*inputs)
2025-11-03T16:27:58.8060701Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8060788Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8061014Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8061096Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8061346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8061447Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8061711Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8061828Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8062071Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8062196Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8062466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8062610Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8062867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8062971Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8062975Z 
2025-11-03T16:27:58.8063092Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8063345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8063425Z     return mod(*inputs)
2025-11-03T16:27:58.8063678Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8063763Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8063994Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8064076Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8064332Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8064430Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8064686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8064882Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8065136Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8065264Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8065537Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.8065696Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.8065701Z 
2025-11-03T16:27:58.8065815Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8066040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8066113Z     return mod(*inputs)
2025-11-03T16:27:58.8066361Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8066449Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8066723Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8066817Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8067061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8067159Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8067424Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8067542Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8067803Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8067917Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8068184Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.8068276Z     return self.output_linear(x)
2025-11-03T16:27:58.8068280Z 
2025-11-03T16:27:58.8068390Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8068615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8068684Z     return mod(*inputs)
2025-11-03T16:27:58.8068945Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8069021Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8069243Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8069331Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8069580Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8069684Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8069944Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8070107Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8070375Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8070501Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8070505Z 
2025-11-03T16:27:58.8070625Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8070852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8070932Z     return mod(*inputs)
2025-11-03T16:27:58.8071193Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8071272Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8071512Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8071597Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8071860Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8071956Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8072220Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8072344Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8072630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8072763Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8072766Z 
2025-11-03T16:27:58.8072877Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8073133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8073217Z     return mod(*inputs)
2025-11-03T16:27:58.8073470Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8073554Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8073776Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8073865Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8074118Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8074216Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8074481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8074594Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8074857Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8074983Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8074987Z 
2025-11-03T16:27:58.8075096Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8075321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8075390Z     return mod(*inputs)
2025-11-03T16:27:58.8075641Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8075718Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8075938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8076026Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8076271Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8076376Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8076661Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8076785Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8076788Z 
2025-11-03T16:27:58.8076899Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8077107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8077186Z     return mod(*inputs)
2025-11-03T16:27:58.8077428Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8077514Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8077734Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8077812Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8078058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8078157Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8078419Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8078535Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8078779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8078915Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8079178Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8079259Z     query, key, value = [
2025-11-03T16:27:58.8079532Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8079689Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8079696Z 
2025-11-03T16:27:58.8079807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8080018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8080099Z     return mod(*inputs)
2025-11-03T16:27:58.8080350Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8080436Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8080663Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8080744Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8080994Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8081092Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8081355Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8081476Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8081727Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8081845Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8082119Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8082204Z     query, key, value = [
2025-11-03T16:27:58.8082488Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8082613Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8082617Z 
2025-11-03T16:27:58.8082730Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8082949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8083070Z     return mod(*inputs)
2025-11-03T16:27:58.8083325Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8083413Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8083640Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8083722Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8083972Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8084068Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8084330Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8084448Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8084700Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8084823Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8085095Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8085246Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8085506Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8085681Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8085685Z 
2025-11-03T16:27:58.8085800Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8086019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8086265Z     return mod(*inputs)
2025-11-03T16:27:58.8086632Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8086727Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8086955Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8087047Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8087290Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8087387Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8087645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8087763Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8088013Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8088134Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8088405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8088556Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8088813Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8088986Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8088990Z 
2025-11-03T16:27:58.8089105Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8089329Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8089402Z     return mod(*inputs)
2025-11-03T16:27:58.8089651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8089740Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8090069Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8090158Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8090404Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8090501Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8090762Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8090878Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8091131Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8091249Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8091524Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8091674Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8091932Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8092104Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8092107Z 
2025-11-03T16:27:58.8092224Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8092449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8092523Z     return mod(*inputs)
2025-11-03T16:27:58.8092773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8092859Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8093086Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8093216Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8093467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8093563Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8093820Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8093937Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8094188Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8094307Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8094587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8094663Z     query, key, value = [
2025-11-03T16:27:58.8094947Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8095079Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8095083Z 
2025-11-03T16:27:58.8095197Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8095419Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8095492Z     return mod(*inputs)
2025-11-03T16:27:58.8095744Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8095831Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8096057Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8096145Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8096387Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8096485Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8096800Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8096916Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8097166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8097284Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8097562Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8097701Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8097960Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8098066Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8098070Z 
2025-11-03T16:27:58.8098186Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8098412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8098483Z     return mod(*inputs)
2025-11-03T16:27:58.8098733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8098820Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8099045Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8099135Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8099382Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8099477Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8099736Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8099896Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8100154Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8100273Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8100552Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8100693Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8100951Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8101057Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8101060Z 
2025-11-03T16:27:58.8101175Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8101399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8101474Z     return mod(*inputs)
2025-11-03T16:27:58.8101730Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8101817Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8102041Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8102129Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8102373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8102477Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8102728Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8102846Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8103100Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8103259Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8103543Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.8103694Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.8103698Z 
2025-11-03T16:27:58.8103812Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8104039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8104112Z     return mod(*inputs)
2025-11-03T16:27:58.8104374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8104460Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8104689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8105045Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8105303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8105410Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8105665Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8105794Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8106039Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8106159Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8106445Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.8106528Z     return self.output_linear(x)
2025-11-03T16:27:58.8106533Z 
2025-11-03T16:27:58.8106699Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8106923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8106996Z     return mod(*inputs)
2025-11-03T16:27:58.8107268Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8107348Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8107582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8107663Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8107916Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8108023Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8108281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8108412Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8108676Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8108809Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8108813Z 
2025-11-03T16:27:58.8108927Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8109137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8109219Z     return mod(*inputs)
2025-11-03T16:27:58.8109477Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8109563Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8109788Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8109868Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8110121Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8110269Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8110531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8110648Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8110920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8111049Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8111053Z 
2025-11-03T16:27:58.8111164Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8111387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8111458Z     return mod(*inputs)
2025-11-03T16:27:58.8111724Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8111804Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8112032Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8112120Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8112375Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8112480Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8112738Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8112854Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8113122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8113248Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8113288Z 
2025-11-03T16:27:58.8113414Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8113630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8113707Z     return mod(*inputs)
2025-11-03T16:27:58.8113967Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8114046Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8114279Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8114360Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8114616Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8114713Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8114978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8115106Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8115363Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8115491Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8115764Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8115840Z     query, key, value = [
2025-11-03T16:27:58.8116145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8116265Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8116268Z 
2025-11-03T16:27:58.8116390Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8116607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8116691Z     return mod(*inputs)
2025-11-03T16:27:58.8116983Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8117063Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8117298Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8117381Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8117635Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8117732Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8117983Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8118108Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8118355Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8118487Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8118759Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8118842Z     query, key, value = [
2025-11-03T16:27:58.8119123Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8119244Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8119248Z 
2025-11-03T16:27:58.8119368Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8119584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8119662Z     return mod(*inputs)
2025-11-03T16:27:58.8119913Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8120109Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8120352Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8120435Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8120683Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8120781Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8121032Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8121157Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8121400Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8121539Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8121816Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8121973Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8122233Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8122403Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8122407Z 
2025-11-03T16:27:58.8122530Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8122748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8122825Z     return mod(*inputs)
2025-11-03T16:27:58.8123077Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8123155Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8123395Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8123518Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8123772Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8123871Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8124131Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8124252Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8124499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8124627Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8124896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8125041Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8125301Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8125470Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8125474Z 
2025-11-03T16:27:58.8125596Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8125815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8125892Z     return mod(*inputs)
2025-11-03T16:27:58.8126143Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8126229Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8126455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8126535Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8126825Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8126927Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8127196Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8127314Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8127569Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8127694Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8127968Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8128114Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8128381Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8128548Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8128562Z 
2025-11-03T16:27:58.8128678Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8128894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8128972Z     return mod(*inputs)
2025-11-03T16:27:58.8129222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8129306Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8129532Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8129613Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8129862Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8129958Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8130228Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8130423Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8130677Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8130806Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8131081Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8131163Z     query, key, value = [
2025-11-03T16:27:58.8131465Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8131592Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8131596Z 
2025-11-03T16:27:58.8131711Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8131931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8132011Z     return mod(*inputs)
2025-11-03T16:27:58.8132265Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8132351Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8132581Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8132664Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8132937Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8133034Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8133305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8133426Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8133725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8133860Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8134129Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8134274Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8134541Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8134650Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8134654Z 
2025-11-03T16:27:58.8134767Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8134979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8135060Z     return mod(*inputs)
2025-11-03T16:27:58.8135322Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8135412Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8135636Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8135719Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8135982Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8136080Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8136549Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8136677Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8136934Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8137070Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8137381Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8137531Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8137789Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8137900Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8137904Z 
2025-11-03T16:27:58.8138018Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8138236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8138318Z     return mod(*inputs)
2025-11-03T16:27:58.8138570Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8138660Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8138890Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8138977Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8139231Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8139328Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8139585Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8139702Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8139948Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8140067Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8140335Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.8140535Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.8140543Z 
2025-11-03T16:27:58.8140658Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8140883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8140957Z     return mod(*inputs)
2025-11-03T16:27:58.8141211Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8141298Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8141526Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8141616Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8141859Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8141954Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8142216Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8142335Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8142590Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8142711Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8142989Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.8143073Z     return self.output_linear(x)
2025-11-03T16:27:58.8143077Z 
2025-11-03T16:27:58.8143191Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8143415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8143486Z     return mod(*inputs)
2025-11-03T16:27:58.8143749Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8143882Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8144110Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8144199Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8144443Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8144547Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8144856Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8144981Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8145254Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8145381Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8145389Z 
2025-11-03T16:27:58.8145514Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8145732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8145810Z     return mod(*inputs)
2025-11-03T16:27:58.8146066Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8146143Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8146379Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8146459Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8146712Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8146809Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8147101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8147233Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8147499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8147639Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8147643Z 
2025-11-03T16:27:58.8147757Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8147983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8148056Z     return mod(*inputs)
2025-11-03T16:27:58.8148316Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8148406Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8148633Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8148728Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8148975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8149072Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8149336Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8149454Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8149727Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8149853Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8149856Z 
2025-11-03T16:27:58.8149976Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8150192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8150264Z     return mod(*inputs)
2025-11-03T16:27:58.8150532Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8150651Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8150887Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8150969Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8151221Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8151325Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8151577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8151703Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8151707Z 
2025-11-03T16:27:58.8151819Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8152047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8152130Z     return mod(*inputs)
2025-11-03T16:27:58.8152387Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8152472Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8152697Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8152778Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8153037Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8153135Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8153392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8153510Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8153806Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8153932Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8154206Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8154291Z     query, key, value = [
2025-11-03T16:27:58.8154589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8154716Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8154719Z 
2025-11-03T16:27:58.8154835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8155060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8155142Z     return mod(*inputs)
2025-11-03T16:27:58.8155404Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8155494Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8155720Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8155809Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8156063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8156160Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8156421Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8156540Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8156801Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8156921Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8157197Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8157325Z     query, key, value = [
2025-11-03T16:27:58.8157623Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8157751Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8157755Z 
2025-11-03T16:27:58.8157871Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8158089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8158168Z     return mod(*inputs)
2025-11-03T16:27:58.8158418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8158506Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8158733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8158830Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8159076Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8159174Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8159434Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8159550Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8159803Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8159922Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8160193Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8160344Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8160645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8160825Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8160828Z 
2025-11-03T16:27:58.8160943Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8161164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8161235Z     return mod(*inputs)
2025-11-03T16:27:58.8161487Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8161571Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8161798Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8161885Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8162130Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8162230Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8162490Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8162606Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8162856Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8162975Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8163243Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8163390Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8163647Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8163822Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8163862Z 
2025-11-03T16:27:58.8163979Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8164203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8164276Z     return mod(*inputs)
2025-11-03T16:27:58.8164526Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8164614Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8165083Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8165193Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8165440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8165539Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8165809Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8165931Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8166181Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8166304Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8166583Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8166723Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8166979Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8167154Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8167158Z 
2025-11-03T16:27:58.8167326Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8167557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8167630Z     return mod(*inputs)
2025-11-03T16:27:58.8167884Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8167973Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8168198Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8168290Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8168534Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8168630Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8168891Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8169009Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8169264Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8169383Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8169662Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8169737Z     query, key, value = [
2025-11-03T16:27:58.8170019Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8170148Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8170151Z 
2025-11-03T16:27:58.8170267Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8170489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8170560Z     return mod(*inputs)
2025-11-03T16:27:58.8170813Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8170952Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8171179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8171270Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8171510Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8171612Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8171864Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8171978Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8172228Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8172350Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8172630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8172770Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8173027Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8173133Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8173137Z 
2025-11-03T16:27:58.8173258Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8173473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8173544Z     return mod(*inputs)
2025-11-03T16:27:58.8173788Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8173875Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8174136Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8174233Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8174489Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8174592Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8174837Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8174952Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8175196Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8175313Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8175586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8175726Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8175981Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8176085Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8176090Z 
2025-11-03T16:27:58.8176202Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8176417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8176485Z     return mod(*inputs)
2025-11-03T16:27:58.8176737Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8176813Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8177035Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8177121Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8177363Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8177501Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8177745Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8177858Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8178101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8178216Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8178483Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.8178631Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.8178636Z 
2025-11-03T16:27:58.8178756Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8178968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8179036Z     return mod(*inputs)
2025-11-03T16:27:58.8179286Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8179363Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8179589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8179668Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8179901Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8180002Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8180246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8180400Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8180643Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8180761Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8181031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.8181111Z     return self.output_linear(x)
2025-11-03T16:27:58.8181115Z 
2025-11-03T16:27:58.8181233Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8181443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8181521Z     return mod(*inputs)
2025-11-03T16:27:58.8181765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8181842Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8182071Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8182153Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8182395Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8182492Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8182734Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8182856Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8183110Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8183243Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8183247Z 
2025-11-03T16:27:58.8183357Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8183569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8183730Z     return mod(*inputs)
2025-11-03T16:27:58.8183971Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8184058Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8184275Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8184362Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8184599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8184695Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8185014Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8185133Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8185409Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8185558Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8185562Z 
2025-11-03T16:27:58.8185676Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8185902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8185976Z     return mod(*inputs)
2025-11-03T16:27:58.8186436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8186534Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8186755Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8186844Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8187084Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8187279Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8187531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8187652Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8187906Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8188030Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8188034Z 
2025-11-03T16:27:58.8188156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8188364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8188442Z     return mod(*inputs)
2025-11-03T16:27:58.8188686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8188765Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8188999Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8189079Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8189330Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8189422Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8189665Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8189790Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8190035Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8190159Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8190425Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8190571Z     query, key, value = [
2025-11-03T16:27:58.8190861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8190979Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8190983Z 
2025-11-03T16:27:58.8191102Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8191316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8191391Z     return mod(*inputs)
2025-11-03T16:27:58.8191639Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8191715Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8191943Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8192021Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8192275Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8192371Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8192625Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8192739Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8192987Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8193111Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8193378Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8193460Z     query, key, value = [
2025-11-03T16:27:58.8193798Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8193919Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8193923Z 
2025-11-03T16:27:58.8194041Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8194250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8194327Z     return mod(*inputs)
2025-11-03T16:27:58.8194577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8194652Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8194878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8194956Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8195205Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8195299Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8195557Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8195670Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8195914Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8196041Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8196302Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8196448Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8196706Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8196869Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8196880Z 
2025-11-03T16:27:58.8196994Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8197243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8197321Z     return mod(*inputs)
2025-11-03T16:27:58.8197566Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8197650Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8197871Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8197951Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8198200Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8198294Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8198544Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8198661Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8198903Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8199026Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8199288Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8199434Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8199687Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8199858Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8199862Z 
2025-11-03T16:27:58.8199973Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8200224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8200308Z     return mod(*inputs)
2025-11-03T16:27:58.8200555Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8200640Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8200859Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8200937Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8201177Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8201270Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8201519Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8201635Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8201876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8202003Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8202268Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8202411Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8202660Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:58.8202825Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:58.8202829Z 
2025-11-03T16:27:58.8202938Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8203148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8203226Z     return mod(*inputs)
2025-11-03T16:27:58.8203471Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8203592Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8203812Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8203891Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8204137Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8204231Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8204485Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8204601Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8204846Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8204962Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8205230Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:58.8205315Z     query, key, value = [
2025-11-03T16:27:58.8205587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:58.8205710Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:58.8205714Z 
2025-11-03T16:27:58.8205823Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8206031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8206107Z     return mod(*inputs)
2025-11-03T16:27:58.8206349Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8206434Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8206687Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8206772Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8207019Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8207114Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8207365Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8207480Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8207726Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8207843Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8208106Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8208250Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8208507Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8208609Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8208613Z 
2025-11-03T16:27:58.8208723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8208932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8209010Z     return mod(*inputs)
2025-11-03T16:27:58.8209256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8209341Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8209561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8209639Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8209882Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8210014Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8210266Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8210381Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8210623Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8210739Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8211001Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:58.8211143Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:58.8211395Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:58.8211499Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:58.8211505Z 
2025-11-03T16:27:58.8211616Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8211826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8211904Z     return mod(*inputs)
2025-11-03T16:27:58.8212150Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8212233Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8212454Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8212538Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8212778Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8212872Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8213160Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8213280Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8213526Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8213642Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8213906Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:58.8214062Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:58.8214067Z 
2025-11-03T16:27:58.8214177Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8214396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8214465Z     return mod(*inputs)
2025-11-03T16:27:58.8214719Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8214799Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8215022Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8215111Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8215347Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:58.8215448Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:58.8215694Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8215809Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8216052Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:58.8216168Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:58.8216441Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:58.8216561Z     return self.output_linear(x)
2025-11-03T16:27:58.8216565Z 
2025-11-03T16:27:58.8216674Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8216892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8216961Z     return mod(*inputs)
2025-11-03T16:27:58.8217212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8217287Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8217515Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8217595Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8217828Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8217930Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8218179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8218300Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8218557Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8218680Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8218684Z 
2025-11-03T16:27:58.8218801Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8219010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8219088Z     return mod(*inputs)
2025-11-03T16:27:58.8219333Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8219456Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8219689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8219769Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8220013Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8220105Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8220359Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8220475Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8220729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8220861Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8220864Z 
2025-11-03T16:27:58.8220974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8221195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8221265Z     return mod(*inputs)
2025-11-03T16:27:58.8221510Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8221595Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8221817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8221904Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8222141Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8222234Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8222484Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8222602Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8222905Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:58.8223027Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:58.8223030Z 
2025-11-03T16:27:58.8223146Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8223358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8223426Z     return mod(*inputs)
2025-11-03T16:27:58.8223677Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:58.8223753Z     x = self.bert(x, segment_label)
2025-11-03T16:27:58.8223983Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:58.8224061Z     x = transformer.forward(x, mask)
2025-11-03T16:27:58.8224302Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:58.8224408Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:58.8224659Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:58.8224869Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:58.8224876Z 
2025-11-03T16:27:58.8224997Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8225219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8225290Z     return mod(*inputs)
2025-11-03T16:27:58.8225538Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-11-03T16:27:58.8225648Z     return self.next_sentence(x), self.mask_lm(x)
2025-11-03T16:27:58.8225954Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward
2025-11-03T16:27:58.8226066Z     return self.softmax(self.linear(x[:, 0]))
2025-11-03T16:27:58.8226071Z 
2025-11-03T16:27:58.8226185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:58.8226407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:58.8226486Z     return mod(*inputs)
2025-11-03T16:27:58.8226729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-11-03T16:27:58.8226834Z     return self.next_sentence(x), self.mask_lm(x)
2025-11-03T16:27:58.8227080Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward
2025-11-03T16:27:58.8227171Z     return self.softmax(self.linear(x))
2025-11-03T16:27:58.8227183Z 
2025-11-03T16:28:20.0680567Z Compilation time (from dynamo_timed): 46.299189817
2025-11-03T16:28:20.0718985Z pass
2025-11-03T16:28:20.0726222Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:20.0727317Z TIMING: _recursive_pre_grad_passes:0.00966 _recursive_joint_graph_passes:0.76259 _recursive_post_grad_passes:0.39532 async_compile.wait:0.80832 code_gen:20.44843 inductor_compile:26.06649 backend_compile:39.62488 gc:0.00018 entire_frame_compile:46.29919 total_wall_time:46.29919
2025-11-03T16:28:20.0728582Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5367 | FakeTensorMode.__torch_dispatch__:10016 | attempt fast:84 | fast is_contiguous:84 | ProxyTorchDispatchMode.__torch_dispatch__:2753
2025-11-03T16:28:20.0733423Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique)
2025-11-03T16:28:24.2756741Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:28:24.2758196Z   import pynvml  # type: ignore[import]
2025-11-03T16:28:26.6036267Z 
2025-11-03T16:28:29.1273256Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:28:29.1273586Z loading model: 0it [00:02, ?it/s]
2025-11-03T16:28:29.1290504Z cpu  eval  Background_Matting                 
2025-11-03T16:28:29.1502264Z Compilation time (from dynamo_timed): 0
2025-11-03T16:28:29.1502596Z pass_due_to_skip
2025-11-03T16:28:29.1502946Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:29.1503322Z TIMING: total_wall_time:0
2025-11-03T16:28:29.1503566Z STATS: call_* op count: 0
2025-11-03T16:28:29.1503860Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-11-03T16:28:30.5089418Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:28:30.5090852Z   import pynvml  # type: ignore[import]
2025-11-03T16:28:32.8471929Z 
2025-11-03T16:28:34.5408431Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:28:34.5408907Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:28:34.5414638Z cpu  eval  LearningToPaint                    
2025-11-03T16:28:34.6344686Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:34.6644412Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:34.6937423Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:40.8655675Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8656210Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8656556Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8656937Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8658439Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8658822Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8659058Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8659293Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8659526Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8659760Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8659991Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8660215Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8660442Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8660673Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8660899Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8661124Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8661352Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8661629Z cudagraph partition due to non gpu ops
2025-11-03T16:28:40.8661910Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8662342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8662736Z     return mod(*inputs)
2025-11-03T16:28:40.8663127Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-11-03T16:28:40.8663550Z     x = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8663706Z 
2025-11-03T16:28:40.8663831Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8664239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8664604Z     return mod(*inputs)
2025-11-03T16:28:40.8665194Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-11-03T16:28:40.8665623Z     x = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8665781Z 
2025-11-03T16:28:40.8665901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8666335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8666834Z     return mod(*inputs)
2025-11-03T16:28:40.8667213Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:28:40.8667602Z     x = self.layer1(x)
2025-11-03T16:28:40.8667982Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8668446Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8668602Z 
2025-11-03T16:28:40.8668732Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8669144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8669516Z     return mod(*inputs)
2025-11-03T16:28:40.8669878Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:28:40.8670264Z     x = self.layer1(x)
2025-11-03T16:28:40.8670635Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8671044Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8671209Z 
2025-11-03T16:28:40.8671332Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8671745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8672110Z     return mod(*inputs)
2025-11-03T16:28:40.8672473Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:28:40.8672853Z     x = self.layer1(x)
2025-11-03T16:28:40.8673276Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:28:40.8673688Z     out = self.bn2(self.conv2(out))
2025-11-03T16:28:40.8673886Z 
2025-11-03T16:28:40.8674027Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8674475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8674852Z     return mod(*inputs)
2025-11-03T16:28:40.8675218Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:28:40.8675597Z     x = self.layer1(x)
2025-11-03T16:28:40.8675952Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-11-03T16:28:40.8676340Z     out += self.shortcut(x)
2025-11-03T16:28:40.8676479Z 
2025-11-03T16:28:40.8676595Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8676996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8677369Z     return mod(*inputs)
2025-11-03T16:28:40.8677718Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:28:40.8678100Z     x = self.layer1(x)
2025-11-03T16:28:40.8678474Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8678883Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8679033Z 
2025-11-03T16:28:40.8679157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8679546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8679907Z     return mod(*inputs)
2025-11-03T16:28:40.8680271Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:28:40.8680651Z     x = self.layer1(x)
2025-11-03T16:28:40.8680995Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8681399Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8681562Z 
2025-11-03T16:28:40.8681869Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8682283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8682696Z     return mod(*inputs)
2025-11-03T16:28:40.8683054Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:28:40.8683452Z     x = self.layer1(x)
2025-11-03T16:28:40.8683809Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:28:40.8684225Z     out = self.bn2(self.conv2(out))
2025-11-03T16:28:40.8684391Z 
2025-11-03T16:28:40.8684515Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8684918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8685273Z     return mod(*inputs)
2025-11-03T16:28:40.8685636Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:28:40.8686030Z     x = self.layer1(x)
2025-11-03T16:28:40.8686743Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-11-03T16:28:40.8687138Z     out = F.relu(out)
2025-11-03T16:28:40.8687266Z 
2025-11-03T16:28:40.8687386Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8687798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8688165Z     return mod(*inputs)
2025-11-03T16:28:40.8688529Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:28:40.8688901Z     x = self.layer2(x)
2025-11-03T16:28:40.8689251Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8689663Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8689813Z 
2025-11-03T16:28:40.8689934Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8690328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8690783Z     return mod(*inputs)
2025-11-03T16:28:40.8691156Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:28:40.8691540Z     x = self.layer2(x)
2025-11-03T16:28:40.8691899Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8692286Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8692443Z 
2025-11-03T16:28:40.8692558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8692960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8693320Z     return mod(*inputs)
2025-11-03T16:28:40.8693670Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:28:40.8694050Z     x = self.layer2(x)
2025-11-03T16:28:40.8694405Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:28:40.8694806Z     out = self.bn2(self.conv2(out))
2025-11-03T16:28:40.8694950Z 
2025-11-03T16:28:40.8695070Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8695465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8695829Z     return mod(*inputs)
2025-11-03T16:28:40.8696194Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:28:40.8696571Z     x = self.layer2(x)
2025-11-03T16:28:40.8696918Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-11-03T16:28:40.8697305Z     out += self.shortcut(x)
2025-11-03T16:28:40.8697445Z 
2025-11-03T16:28:40.8697562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8697964Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8698324Z     return mod(*inputs)
2025-11-03T16:28:40.8698681Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:28:40.8699128Z     x = self.layer2(x)
2025-11-03T16:28:40.8699483Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8699875Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8700025Z 
2025-11-03T16:28:40.8700137Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8700538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8700893Z     return mod(*inputs)
2025-11-03T16:28:40.8701254Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:28:40.8701638Z     x = self.layer2(x)
2025-11-03T16:28:40.8701984Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8702380Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8702530Z 
2025-11-03T16:28:40.8702653Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8703048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8703417Z     return mod(*inputs)
2025-11-03T16:28:40.8703775Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:28:40.8704160Z     x = self.layer2(x)
2025-11-03T16:28:40.8704511Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:28:40.8704985Z     out = self.bn2(self.conv2(out))
2025-11-03T16:28:40.8705141Z 
2025-11-03T16:28:40.8705259Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8705655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8706070Z     return mod(*inputs)
2025-11-03T16:28:40.8706475Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:28:40.8706858Z     x = self.layer2(x)
2025-11-03T16:28:40.8707214Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-11-03T16:28:40.8707604Z     out = F.relu(out)
2025-11-03T16:28:40.8707712Z 
2025-11-03T16:28:40.8707831Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8708215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8708590Z     return mod(*inputs)
2025-11-03T16:28:40.8708939Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:28:40.8709317Z     x = self.layer3(x)
2025-11-03T16:28:40.8709663Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8710050Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8710208Z 
2025-11-03T16:28:40.8710325Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8710716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8711159Z     return mod(*inputs)
2025-11-03T16:28:40.8711505Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:28:40.8711883Z     x = self.layer3(x)
2025-11-03T16:28:40.8712234Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8712622Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8712771Z 
2025-11-03T16:28:40.8712935Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8713330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8713680Z     return mod(*inputs)
2025-11-03T16:28:40.8714031Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:28:40.8714485Z     x = self.layer3(x)
2025-11-03T16:28:40.8714838Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:28:40.8715230Z     out = self.bn2(self.conv2(out))
2025-11-03T16:28:40.8715368Z 
2025-11-03T16:28:40.8715488Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8715875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8716235Z     return mod(*inputs)
2025-11-03T16:28:40.8716584Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:28:40.8716996Z     x = self.layer3(x)
2025-11-03T16:28:40.8717339Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-11-03T16:28:40.8717727Z     out += self.shortcut(x)
2025-11-03T16:28:40.8717863Z 
2025-11-03T16:28:40.8717980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8718380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8718732Z     return mod(*inputs)
2025-11-03T16:28:40.8719080Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:28:40.8719459Z     x = self.layer3(x)
2025-11-03T16:28:40.8719808Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8720195Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8720339Z 
2025-11-03T16:28:40.8720451Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8720834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8721179Z     return mod(*inputs)
2025-11-03T16:28:40.8721565Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:28:40.8721936Z     x = self.layer3(x)
2025-11-03T16:28:40.8722268Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8722644Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8722792Z 
2025-11-03T16:28:40.8722903Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8723294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8723659Z     return mod(*inputs)
2025-11-03T16:28:40.8724012Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:28:40.8724394Z     x = self.layer3(x)
2025-11-03T16:28:40.8724742Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:28:40.8725135Z     out = self.bn2(self.conv2(out))
2025-11-03T16:28:40.8725276Z 
2025-11-03T16:28:40.8725399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8725784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8726126Z     return mod(*inputs)
2025-11-03T16:28:40.8726466Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:28:40.8726833Z     x = self.layer3(x)
2025-11-03T16:28:40.8727174Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-11-03T16:28:40.8727551Z     out = F.relu(out)
2025-11-03T16:28:40.8727659Z 
2025-11-03T16:28:40.8727779Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8728168Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8728535Z     return mod(*inputs)
2025-11-03T16:28:40.8728888Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:28:40.8729282Z     x = self.layer4(x)
2025-11-03T16:28:40.8729659Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8730042Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8730193Z 
2025-11-03T16:28:40.8730302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8730691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8731068Z     return mod(*inputs)
2025-11-03T16:28:40.8731421Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:28:40.8731795Z     x = self.layer4(x)
2025-11-03T16:28:40.8732143Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8732518Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8732667Z 
2025-11-03T16:28:40.8732787Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8733178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8733531Z     return mod(*inputs)
2025-11-03T16:28:40.8733879Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:28:40.8734258Z     x = self.layer4(x)
2025-11-03T16:28:40.8734603Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:28:40.8734976Z     out = self.bn2(self.conv2(out))
2025-11-03T16:28:40.8735128Z 
2025-11-03T16:28:40.8735242Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8735633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8735983Z     return mod(*inputs)
2025-11-03T16:28:40.8736328Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:28:40.8736739Z     x = self.layer4(x)
2025-11-03T16:28:40.8737099Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-11-03T16:28:40.8737479Z     out += self.shortcut(x)
2025-11-03T16:28:40.8737607Z 
2025-11-03T16:28:40.8737726Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8738114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8738467Z     return mod(*inputs)
2025-11-03T16:28:40.8738823Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:28:40.8739203Z     x = self.layer4(x)
2025-11-03T16:28:40.8739545Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8739939Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8740091Z 
2025-11-03T16:28:40.8740203Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8740598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8740954Z     return mod(*inputs)
2025-11-03T16:28:40.8741306Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:28:40.8741680Z     x = self.layer4(x)
2025-11-03T16:28:40.8742030Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:28:40.8742419Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:28:40.8742566Z 
2025-11-03T16:28:40.8742679Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8743072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8743426Z     return mod(*inputs)
2025-11-03T16:28:40.8743780Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:28:40.8744154Z     x = self.layer4(x)
2025-11-03T16:28:40.8744669Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:28:40.8745197Z     out = self.bn2(self.conv2(out))
2025-11-03T16:28:40.8745340Z 
2025-11-03T16:28:40.8745464Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8745857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8746226Z     return mod(*inputs)
2025-11-03T16:28:40.8746584Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:28:40.8746975Z     x = self.layer4(x)
2025-11-03T16:28:40.8747326Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-11-03T16:28:40.8747713Z     out = F.relu(out)
2025-11-03T16:28:40.8747825Z 
2025-11-03T16:28:40.8747938Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8748339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8748694Z     return mod(*inputs)
2025-11-03T16:28:40.8749046Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward
2025-11-03T16:28:40.8749435Z     x = F.avg_pool2d(x, 4)
2025-11-03T16:28:40.8749569Z 
2025-11-03T16:28:40.8749682Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8750084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8750427Z     return mod(*inputs)
2025-11-03T16:28:40.8750774Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward
2025-11-03T16:28:40.8751145Z     x = self.fc(x)
2025-11-03T16:28:40.8751257Z 
2025-11-03T16:28:40.8751365Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:40.8751746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:40.8752135Z     return mod(*inputs)
2025-11-03T16:28:40.8752481Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward
2025-11-03T16:28:40.8752856Z     x = torch.sigmoid(x)
2025-11-03T16:28:40.8752982Z 
2025-11-03T16:28:51.7953073Z Compilation time (from dynamo_timed): 16.599189152
2025-11-03T16:28:51.7953392Z pass
2025-11-03T16:28:51.7957631Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:51.7958591Z TIMING: _recursive_pre_grad_passes:0.00534 _recursive_joint_graph_passes:0.1606 _recursive_post_grad_passes:0.04267 async_compile.wait:0.86409 code_gen:10.8786 inductor_compile:11.96728 backend_compile:14.66579 gc:0.00105 entire_frame_compile:16.59919 total_wall_time:16.59919
2025-11-03T16:28:51.7959704Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:3091 | attempt fast:38 | fast is_contiguous:38 | FakeTensor.__torch_dispatch__:2120 | ProxyTorchDispatchMode.__torch_dispatch__:1128
2025-11-03T16:28:51.7960386Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-11-03T16:28:53.9515909Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:28:53.9517493Z   import pynvml  # type: ignore[import]
2025-11-03T16:28:56.3360605Z 
2025-11-03T16:28:57.2111549Z 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
2025-11-03T16:28:57.2323694Z 
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2025-11-03T16:28:57.9372936Z  47% 248M/528M [00:00<00:00, 465MB/s]
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2025-11-03T16:28:58.0494225Z  56% 294M/528M [00:00<00:00, 468MB/s]
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2025-11-03T16:28:58.2507345Z  74% 389M/528M [00:00<00:00, 475MB/s]
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2025-11-03T16:28:58.4052234Z  83% 440M/528M [00:01<00:00, 490MB/s]
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2025-11-03T16:28:58.5368949Z  92% 486M/528M [00:01<00:00, 421MB/s]
2025-11-03T16:28:58.5369284Z 100% 528M/528M [00:01<00:00, 424MB/s]
2025-11-03T16:29:00.2894250Z 
2025-11-03T16:29:00.2897603Z loading model: 0it [00:03, ?it/s]
2025-11-03T16:29:00.2899706Z cpu  eval  Super_SloMo                        
2025-11-03T16:29:27.2124365Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:28.7751879Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:30.2780328Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:59.1841158Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1845082Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1845465Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1845736Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1845965Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1846195Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1846427Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1847121Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1847376Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1847619Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1847853Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1848080Z cudagraph partition due to non gpu ops
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2025-11-03T16:29:59.1849490Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1849713Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1849943Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1850173Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1850405Z cudagraph partition due to non gpu ops
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2025-11-03T16:29:59.1850862Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1851091Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1851340Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1851572Z cudagraph partition due to non gpu ops
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2025-11-03T16:29:59.1852022Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1852251Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1852482Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1852706Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1852938Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1853172Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1853400Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1853622Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1853850Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1854081Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1854437Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1854660Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1854891Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1855138Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1855364Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1855581Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1855806Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1856033Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1856260Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1856477Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1856702Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1856928Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1857201Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1857624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1858009Z     return mod(*inputs)
2025-11-03T16:29:59.1858353Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1858751Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1858930Z 
2025-11-03T16:29:59.1859028Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1859293Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1859706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1860069Z     return mod(*inputs)
2025-11-03T16:29:59.1860395Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1860766Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1861181Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-11-03T16:29:59.1861606Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1861789Z 
2025-11-03T16:29:59.1861913Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1862326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1862692Z     return mod(*inputs)
2025-11-03T16:29:59.1863023Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1863395Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1863780Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-11-03T16:29:59.1864161Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1864330Z 
2025-11-03T16:29:59.1864456Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1865132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1865518Z     return mod(*inputs)
2025-11-03T16:29:59.1865844Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1866222Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1866595Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-11-03T16:29:59.1866977Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.1867187Z 
2025-11-03T16:29:59.1867306Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1867702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1868079Z     return mod(*inputs)
2025-11-03T16:29:59.1868397Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1868769Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1869149Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:29:59.1869549Z     s2 = self.down1(s1)
2025-11-03T16:29:59.1869866Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:29:59.1870212Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:29:59.1870389Z 
2025-11-03T16:29:59.1870506Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1870908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1871267Z     return mod(*inputs)
2025-11-03T16:29:59.1871596Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1871970Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1872343Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:29:59.1872687Z     s2 = self.down1(s1)
2025-11-03T16:29:59.1873011Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.1873379Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1873552Z 
2025-11-03T16:29:59.1873669Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1874068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1874448Z     return mod(*inputs)
2025-11-03T16:29:59.1874772Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1875146Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1875523Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:29:59.1875881Z     s2 = self.down1(s1)
2025-11-03T16:29:59.1876257Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.1876620Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1876793Z 
2025-11-03T16:29:59.1876951Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1877474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1877842Z     return mod(*inputs)
2025-11-03T16:29:59.1878160Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1878524Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1878899Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:29:59.1879239Z     s2 = self.down1(s1)
2025-11-03T16:29:59.1879551Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.1879910Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.1880080Z 
2025-11-03T16:29:59.1880195Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1880592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1880959Z     return mod(*inputs)
2025-11-03T16:29:59.1881273Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1881676Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1882042Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:29:59.1882386Z     s3 = self.down2(s2)
2025-11-03T16:29:59.1882693Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:29:59.1883028Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:29:59.1883164Z 
2025-11-03T16:29:59.1883278Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1883674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1884030Z     return mod(*inputs)
2025-11-03T16:29:59.1884350Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1884764Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1885146Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:29:59.1885493Z     s3 = self.down2(s2)
2025-11-03T16:29:59.1885807Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.1886358Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1886542Z 
2025-11-03T16:29:59.1886663Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1887070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1887436Z     return mod(*inputs)
2025-11-03T16:29:59.1887757Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1888126Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1888506Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:29:59.1888853Z     s3 = self.down2(s2)
2025-11-03T16:29:59.1889166Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.1889528Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1889705Z 
2025-11-03T16:29:59.1889820Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1890218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1890594Z     return mod(*inputs)
2025-11-03T16:29:59.1890915Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1891282Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1891652Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:29:59.1891991Z     s3 = self.down2(s2)
2025-11-03T16:29:59.1892410Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.1892779Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.1892956Z 
2025-11-03T16:29:59.1893076Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1893471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1893834Z     return mod(*inputs)
2025-11-03T16:29:59.1894151Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1894518Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1894888Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:29:59.1895230Z     s4 = self.down3(s3)
2025-11-03T16:29:59.1895539Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:29:59.1895873Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:29:59.1896011Z 
2025-11-03T16:29:59.1896125Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1896540Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1896903Z     return mod(*inputs)
2025-11-03T16:29:59.1897220Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1897585Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1897952Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:29:59.1898289Z     s4 = self.down3(s3)
2025-11-03T16:29:59.1898597Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.1898955Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1899125Z 
2025-11-03T16:29:59.1899239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1899738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1900111Z     return mod(*inputs)
2025-11-03T16:29:59.1900433Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1900798Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1901164Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:29:59.1901508Z     s4 = self.down3(s3)
2025-11-03T16:29:59.1901822Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.1902183Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1902359Z 
2025-11-03T16:29:59.1902477Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1902872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1903252Z     return mod(*inputs)
2025-11-03T16:29:59.1903573Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1903938Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1904313Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:29:59.1904651Z     s4 = self.down3(s3)
2025-11-03T16:29:59.1905071Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.1905449Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.1905627Z 
2025-11-03T16:29:59.1905743Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1906137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1906536Z     return mod(*inputs)
2025-11-03T16:29:59.1906864Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1907277Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1907647Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:29:59.1907982Z     s5 = self.down4(s4)
2025-11-03T16:29:59.1908296Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:29:59.1908632Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:29:59.1908765Z 
2025-11-03T16:29:59.1908883Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1909278Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1909639Z     return mod(*inputs)
2025-11-03T16:29:59.1909957Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1910332Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1910706Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:29:59.1911045Z     s5 = self.down4(s4)
2025-11-03T16:29:59.1911356Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.1911711Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1911884Z 
2025-11-03T16:29:59.1911999Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1912394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1912752Z     return mod(*inputs)
2025-11-03T16:29:59.1913065Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1913433Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1913796Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:29:59.1914132Z     s5 = self.down4(s4)
2025-11-03T16:29:59.1914445Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.1914847Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1915023Z 
2025-11-03T16:29:59.1915138Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1915748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1916124Z     return mod(*inputs)
2025-11-03T16:29:59.1916442Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1916812Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1917231Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:29:59.1917575Z     s5 = self.down4(s4)
2025-11-03T16:29:59.1917884Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.1918255Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.1918441Z 
2025-11-03T16:29:59.1918558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1918961Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1919336Z     return mod(*inputs)
2025-11-03T16:29:59.1919657Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1920041Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1920418Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:29:59.1920768Z     x = self.down5(s5)
2025-11-03T16:29:59.1921088Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:29:59.1921434Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:29:59.1921597Z 
2025-11-03T16:29:59.1921712Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1922152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1922530Z     return mod(*inputs)
2025-11-03T16:29:59.1922858Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1923235Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1923604Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:29:59.1923949Z     x = self.down5(s5)
2025-11-03T16:29:59.1924265Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.1924636Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1924811Z 
2025-11-03T16:29:59.1924928Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1925380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1925759Z     return mod(*inputs)
2025-11-03T16:29:59.1926083Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1926463Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1926838Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:29:59.1927185Z     x = self.down5(s5)
2025-11-03T16:29:59.1943663Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.1944248Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1944444Z 
2025-11-03T16:29:59.1944578Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1945190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1945573Z     return mod(*inputs)
2025-11-03T16:29:59.1945911Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1946334Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1946905Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:29:59.1947259Z     x = self.down5(s5)
2025-11-03T16:29:59.1947572Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.1947950Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.1948126Z 
2025-11-03T16:29:59.1948248Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1948656Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1949006Z     return mod(*inputs)
2025-11-03T16:29:59.1949314Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1949697Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1950063Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:29:59.1950412Z     x = self.up1(x, s5)
2025-11-03T16:29:59.1950734Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.1951078Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1951245Z 
2025-11-03T16:29:59.1951359Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1951796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1952155Z     return mod(*inputs)
2025-11-03T16:29:59.1952460Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1952834Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1953195Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:29:59.1953527Z     x = self.up1(x, s5)
2025-11-03T16:29:59.1953899Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.1954265Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1954435Z 
2025-11-03T16:29:59.1954552Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1954945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1955308Z     return mod(*inputs)
2025-11-03T16:29:59.1955601Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1955965Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1956330Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:29:59.1956672Z     s5 = self.down4(s4)
2025-11-03T16:29:59.1956984Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.1957352Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.1957520Z 
2025-11-03T16:29:59.1957636Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1958024Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1958370Z     return mod(*inputs)
2025-11-03T16:29:59.1958666Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1959026Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1959380Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:29:59.1959705Z     x = self.up1(x, s5)
2025-11-03T16:29:59.1960004Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.1960400Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.1960658Z 
2025-11-03T16:29:59.1960771Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1961041Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1961466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1961804Z     return mod(*inputs)
2025-11-03T16:29:59.1962109Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1962472Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1962828Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:29:59.1963154Z     x = self.up1(x, s5)
2025-11-03T16:29:59.1963445Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.1963849Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.1964063Z 
2025-11-03T16:29:59.1964176Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1964563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1964906Z     return mod(*inputs)
2025-11-03T16:29:59.1965213Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1965575Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1965928Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:29:59.1966255Z     x = self.up2(x, s4)
2025-11-03T16:29:59.1966543Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.1966895Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1967054Z 
2025-11-03T16:29:59.1967171Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1967550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1967884Z     return mod(*inputs)
2025-11-03T16:29:59.1968246Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1968618Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1968975Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:29:59.1969302Z     x = self.up2(x, s4)
2025-11-03T16:29:59.1969594Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.1969952Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1970111Z 
2025-11-03T16:29:59.1970230Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1970612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1970952Z     return mod(*inputs)
2025-11-03T16:29:59.1971259Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1971624Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1971983Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:29:59.1972316Z     s4 = self.down3(s3)
2025-11-03T16:29:59.1972613Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.1972967Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.1973126Z 
2025-11-03T16:29:59.1973248Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1973634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1973972Z     return mod(*inputs)
2025-11-03T16:29:59.1974281Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1974647Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1975005Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:29:59.1975333Z     x = self.up2(x, s4)
2025-11-03T16:29:59.1975664Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.1976065Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.1976269Z 
2025-11-03T16:29:59.1976368Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1976631Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1977001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1977343Z     return mod(*inputs)
2025-11-03T16:29:59.1977648Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1978009Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1978360Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:29:59.1978678Z     x = self.up2(x, s4)
2025-11-03T16:29:59.1978979Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.1979387Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.1979602Z 
2025-11-03T16:29:59.1979723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1980119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1980486Z     return mod(*inputs)
2025-11-03T16:29:59.1980799Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1981168Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1981530Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:29:59.1981856Z     x = self.up3(x, s3)
2025-11-03T16:29:59.1982163Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.1982610Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1982782Z 
2025-11-03T16:29:59.1982900Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1983283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1983652Z     return mod(*inputs)
2025-11-03T16:29:59.1983965Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1984335Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1984697Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:29:59.1985217Z     x = self.up3(x, s3)
2025-11-03T16:29:59.1985532Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.1985897Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1986062Z 
2025-11-03T16:29:59.1986362Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1986765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1987137Z     return mod(*inputs)
2025-11-03T16:29:59.1987455Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1987831Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1988202Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:29:59.1988536Z     s3 = self.down2(s2)
2025-11-03T16:29:59.1988852Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.1989222Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.1989388Z 
2025-11-03T16:29:59.1989511Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1989896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1990279Z     return mod(*inputs)
2025-11-03T16:29:59.1990703Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1991085Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1991460Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:29:59.1991797Z     x = self.up3(x, s3)
2025-11-03T16:29:59.1992115Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.1992540Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.1992755Z 
2025-11-03T16:29:59.1992861Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.1993131Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1993538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1993903Z     return mod(*inputs)
2025-11-03T16:29:59.1994225Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1994604Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1994976Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:29:59.1995321Z     x = self.up3(x, s3)
2025-11-03T16:29:59.1995636Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.1996053Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.1996268Z 
2025-11-03T16:29:59.1996388Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1996791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.1997151Z     return mod(*inputs)
2025-11-03T16:29:59.1997471Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.1997907Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.1998275Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:29:59.1998615Z     x = self.up4(x, s2)
2025-11-03T16:29:59.1998925Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.1999292Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.1999460Z 
2025-11-03T16:29:59.1999575Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.1999972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2000324Z     return mod(*inputs)
2025-11-03T16:29:59.2000635Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2001015Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2001366Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:29:59.2001699Z     x = self.up4(x, s2)
2025-11-03T16:29:59.2002000Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2002360Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2002521Z 
2025-11-03T16:29:59.2002641Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2003029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2003387Z     return mod(*inputs)
2025-11-03T16:29:59.2003696Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2004129Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2004488Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:29:59.2004808Z     s2 = self.down1(s1)
2025-11-03T16:29:59.2005112Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.2005512Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2005675Z 
2025-11-03T16:29:59.2005797Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2006193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2006550Z     return mod(*inputs)
2025-11-03T16:29:59.2006859Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2007228Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2007591Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:29:59.2007917Z     x = self.up4(x, s2)
2025-11-03T16:29:59.2008220Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2008630Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2008843Z 
2025-11-03T16:29:59.2008941Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2009200Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2009594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2009942Z     return mod(*inputs)
2025-11-03T16:29:59.2010255Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2010628Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2010995Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:29:59.2011333Z     x = self.up4(x, s2)
2025-11-03T16:29:59.2011648Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2012070Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2012323Z 
2025-11-03T16:29:59.2012447Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2012844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2013199Z     return mod(*inputs)
2025-11-03T16:29:59.2013518Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2013895Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2014254Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:29:59.2014591Z     x = self.up5(x, s1)
2025-11-03T16:29:59.2014900Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2015261Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2015424Z 
2025-11-03T16:29:59.2015539Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2015938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2016299Z     return mod(*inputs)
2025-11-03T16:29:59.2016612Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2016986Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2017341Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:29:59.2017676Z     x = self.up5(x, s1)
2025-11-03T16:29:59.2017982Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2018346Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2018509Z 
2025-11-03T16:29:59.2018622Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2019016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2019372Z     return mod(*inputs)
2025-11-03T16:29:59.2019688Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2020115Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2020475Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-11-03T16:29:59.2020855Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2021033Z 
2025-11-03T16:29:59.2021148Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2021538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2021884Z     return mod(*inputs)
2025-11-03T16:29:59.2022200Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2022574Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2022942Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:29:59.2023284Z     x = self.up5(x, s1)
2025-11-03T16:29:59.2023588Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2023998Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2024213Z 
2025-11-03T16:29:59.2024303Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2024566Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2025057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2025430Z     return mod(*inputs)
2025-11-03T16:29:59.2025751Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2026134Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2026503Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:29:59.2026834Z     x = self.up5(x, s1)
2025-11-03T16:29:59.2027195Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2027614Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2027824Z 
2025-11-03T16:29:59.2027944Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2028335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2028699Z     return mod(*inputs)
2025-11-03T16:29:59.2029013Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2029383Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2029747Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:29:59.2030073Z     x = self.up5(x, s1)
2025-11-03T16:29:59.2030380Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2030791Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2031002Z 
2025-11-03T16:29:59.2031124Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2031510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2031887Z     return mod(*inputs)
2025-11-03T16:29:59.2032197Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:29:59.2032578Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:29:59.2032930Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-11-03T16:29:59.2033274Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-11-03T16:29:59.2033439Z 
2025-11-03T16:29:59.2033550Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2033933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2034324Z     return mod(*inputs)
2025-11-03T16:29:59.2034628Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 45, in forward
2025-11-03T16:29:59.2035005Z     g_I1_F_t_1 = self.trainFlowBackWarp(I1, F_t_1)
2025-11-03T16:29:59.2035371Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:29:59.2035720Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:29:59.2035865Z 
2025-11-03T16:29:59.2035988Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2036373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2036729Z     return mod(*inputs)
2025-11-03T16:29:59.2037051Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 44, in forward
2025-11-03T16:29:59.2037432Z     g_I0_F_t_0 = self.trainFlowBackWarp(I0, F_t_0)
2025-11-03T16:29:59.2037798Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:29:59.2038156Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:29:59.2038310Z 
2025-11-03T16:29:59.2038405Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2038653Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2038900Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2039124Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2039386Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2039779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2040160Z     return mod(*inputs)
2025-11-03T16:29:59.2040476Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward
2025-11-03T16:29:59.2040825Z     torch.cat(
2025-11-03T16:29:59.2040937Z 
2025-11-03T16:29:59.2041054Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2041500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2041867Z     return mod(*inputs)
2025-11-03T16:29:59.2042166Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2042519Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2042870Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-11-03T16:29:59.2043240Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2043407Z 
2025-11-03T16:29:59.2043522Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2043927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2044294Z     return mod(*inputs)
2025-11-03T16:29:59.2044608Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2044957Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2045307Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-11-03T16:29:59.2045675Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2045837Z 
2025-11-03T16:29:59.2045959Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2046352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2046715Z     return mod(*inputs)
2025-11-03T16:29:59.2047034Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2047391Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2047736Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-11-03T16:29:59.2048105Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2048288Z 
2025-11-03T16:29:59.2048406Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2048813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2049222Z     return mod(*inputs)
2025-11-03T16:29:59.2049544Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2049884Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2050232Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:29:59.2050567Z     s2 = self.down1(s1)
2025-11-03T16:29:59.2050873Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:29:59.2051210Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:29:59.2051344Z 
2025-11-03T16:29:59.2051457Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2051850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2052229Z     return mod(*inputs)
2025-11-03T16:29:59.2052546Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2052899Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2053245Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:29:59.2053579Z     s2 = self.down1(s1)
2025-11-03T16:29:59.2053887Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.2054247Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2054422Z 
2025-11-03T16:29:59.2054536Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2054933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2055307Z     return mod(*inputs)
2025-11-03T16:29:59.2055619Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2055966Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2056352Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:29:59.2056691Z     s2 = self.down1(s1)
2025-11-03T16:29:59.2057000Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.2057360Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2057534Z 
2025-11-03T16:29:59.2057648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2058043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2058419Z     return mod(*inputs)
2025-11-03T16:29:59.2058733Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2059081Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2059433Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:29:59.2059772Z     s2 = self.down1(s1)
2025-11-03T16:29:59.2060088Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.2060473Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2060638Z 
2025-11-03T16:29:59.2060758Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2061145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2061521Z     return mod(*inputs)
2025-11-03T16:29:59.2061834Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2062193Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2062531Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:29:59.2062867Z     s3 = self.down2(s2)
2025-11-03T16:29:59.2063176Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:29:59.2063519Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:29:59.2063643Z 
2025-11-03T16:29:59.2063832Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2064220Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2064574Z     return mod(*inputs)
2025-11-03T16:29:59.2064987Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2065357Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2065699Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:29:59.2066040Z     s3 = self.down2(s2)
2025-11-03T16:29:59.2066353Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.2066721Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2066886Z 
2025-11-03T16:29:59.2067008Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2067401Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2067757Z     return mod(*inputs)
2025-11-03T16:29:59.2068075Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2068430Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2068768Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:29:59.2069104Z     s3 = self.down2(s2)
2025-11-03T16:29:59.2069414Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.2069776Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2069940Z 
2025-11-03T16:29:59.2070061Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2070446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2070800Z     return mod(*inputs)
2025-11-03T16:29:59.2071161Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2071530Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2071878Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:29:59.2072229Z     s3 = self.down2(s2)
2025-11-03T16:29:59.2072535Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.2072900Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2073067Z 
2025-11-03T16:29:59.2073181Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2073576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2073931Z     return mod(*inputs)
2025-11-03T16:29:59.2074245Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2074601Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2074944Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:29:59.2075287Z     s4 = self.down3(s3)
2025-11-03T16:29:59.2075601Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:29:59.2075940Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:29:59.2076068Z 
2025-11-03T16:29:59.2076184Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2076579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2076929Z     return mod(*inputs)
2025-11-03T16:29:59.2077243Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2077596Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2077932Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:29:59.2078267Z     s4 = self.down3(s3)
2025-11-03T16:29:59.2078578Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.2078994Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2079157Z 
2025-11-03T16:29:59.2079268Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2079655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2080001Z     return mod(*inputs)
2025-11-03T16:29:59.2080318Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2080674Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2081013Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:29:59.2081347Z     s4 = self.down3(s3)
2025-11-03T16:29:59.2081659Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.2082025Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2082190Z 
2025-11-03T16:29:59.2082310Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2082719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2083079Z     return mod(*inputs)
2025-11-03T16:29:59.2083394Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2083744Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2084081Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:29:59.2084416Z     s4 = self.down3(s3)
2025-11-03T16:29:59.2084722Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.2085085Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2085248Z 
2025-11-03T16:29:59.2085363Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2085813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2086353Z     return mod(*inputs)
2025-11-03T16:29:59.2086675Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2087031Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2087380Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:29:59.2087720Z     s5 = self.down4(s4)
2025-11-03T16:29:59.2088036Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:29:59.2088391Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:29:59.2088514Z 
2025-11-03T16:29:59.2088632Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2089045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2089416Z     return mod(*inputs)
2025-11-03T16:29:59.2089739Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2090092Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2090438Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:29:59.2090779Z     s5 = self.down4(s4)
2025-11-03T16:29:59.2091088Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.2091463Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2091629Z 
2025-11-03T16:29:59.2091742Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2092139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2092512Z     return mod(*inputs)
2025-11-03T16:29:59.2092828Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2093174Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2093526Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:29:59.2093993Z     s5 = self.down4(s4)
2025-11-03T16:29:59.2094308Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.2094674Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2094843Z 
2025-11-03T16:29:59.2094956Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2095354Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2095726Z     return mod(*inputs)
2025-11-03T16:29:59.2096043Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2096391Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2096743Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:29:59.2097077Z     s5 = self.down4(s4)
2025-11-03T16:29:59.2097390Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.2097758Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2097926Z 
2025-11-03T16:29:59.2098041Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2098437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2098804Z     return mod(*inputs)
2025-11-03T16:29:59.2099122Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2099469Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2099816Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:29:59.2100151Z     x = self.down5(s5)
2025-11-03T16:29:59.2100464Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:29:59.2100795Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:29:59.2100922Z 
2025-11-03T16:29:59.2101090Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2101490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2101841Z     return mod(*inputs)
2025-11-03T16:29:59.2102153Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2102498Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2102844Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:29:59.2103178Z     x = self.down5(s5)
2025-11-03T16:29:59.2103492Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.2103850Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2104026Z 
2025-11-03T16:29:59.2104139Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2104539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2104974Z     return mod(*inputs)
2025-11-03T16:29:59.2105292Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2105646Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2105995Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:29:59.2106330Z     x = self.down5(s5)
2025-11-03T16:29:59.2106642Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:29:59.2107001Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2107179Z 
2025-11-03T16:29:59.2107293Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2107697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2108054Z     return mod(*inputs)
2025-11-03T16:29:59.2108373Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2108771Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2109109Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:29:59.2109435Z     x = self.down5(s5)
2025-11-03T16:29:59.2109739Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.2110089Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2110258Z 
2025-11-03T16:29:59.2110370Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2110756Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2111103Z     return mod(*inputs)
2025-11-03T16:29:59.2111411Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2111749Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2112088Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:29:59.2112422Z     x = self.up1(x, s5)
2025-11-03T16:29:59.2112722Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2113069Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2113239Z 
2025-11-03T16:29:59.2113350Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2113733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2114083Z     return mod(*inputs)
2025-11-03T16:29:59.2114389Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2114726Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2115061Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:29:59.2115386Z     x = self.up1(x, s5)
2025-11-03T16:29:59.2115726Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2116082Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2116250Z 
2025-11-03T16:29:59.2116363Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2116745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2117093Z     return mod(*inputs)
2025-11-03T16:29:59.2117398Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2117739Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2118075Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:29:59.2118403Z     s5 = self.down4(s4)
2025-11-03T16:29:59.2118703Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.2119053Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2119226Z 
2025-11-03T16:29:59.2119339Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2119724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2120073Z     return mod(*inputs)
2025-11-03T16:29:59.2120373Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2120722Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2121062Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:29:59.2121389Z     x = self.up1(x, s5)
2025-11-03T16:29:59.2121690Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2122088Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2122303Z 
2025-11-03T16:29:59.2122394Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2122658Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2123087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2123446Z     return mod(*inputs)
2025-11-03T16:29:59.2123753Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2124095Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2124431Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:29:59.2124755Z     x = self.up1(x, s5)
2025-11-03T16:29:59.2125045Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2125442Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2125653Z 
2025-11-03T16:29:59.2125765Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2126150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2126513Z     return mod(*inputs)
2025-11-03T16:29:59.2126821Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2127164Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2127500Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:29:59.2127823Z     x = self.up2(x, s4)
2025-11-03T16:29:59.2128114Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2128466Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2128636Z 
2025-11-03T16:29:59.2128747Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2129142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2129497Z     return mod(*inputs)
2025-11-03T16:29:59.2129867Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2130227Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2130576Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:29:59.2130905Z     x = self.up2(x, s4)
2025-11-03T16:29:59.2131203Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2131566Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2131736Z 
2025-11-03T16:29:59.2131848Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2132247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2132615Z     return mod(*inputs)
2025-11-03T16:29:59.2132927Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2133285Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2133633Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:29:59.2133972Z     s4 = self.down3(s3)
2025-11-03T16:29:59.2134273Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.2134637Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2134804Z 
2025-11-03T16:29:59.2134926Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2135322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2135693Z     return mod(*inputs)
2025-11-03T16:29:59.2136011Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2136365Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2136709Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:29:59.2137044Z     x = self.up2(x, s4)
2025-11-03T16:29:59.2137346Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2137804Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2138016Z 
2025-11-03T16:29:59.2138113Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2138377Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2138765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2139142Z     return mod(*inputs)
2025-11-03T16:29:59.2139457Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2139816Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2140155Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:29:59.2140488Z     x = self.up2(x, s4)
2025-11-03T16:29:59.2140795Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2141211Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2141424Z 
2025-11-03T16:29:59.2141545Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2141931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2142307Z     return mod(*inputs)
2025-11-03T16:29:59.2142627Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2142984Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2143322Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:29:59.2143661Z     x = self.up3(x, s3)
2025-11-03T16:29:59.2143970Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2144336Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2144503Z 
2025-11-03T16:29:59.2144666Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2145157Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2145522Z     return mod(*inputs)
2025-11-03T16:29:59.2145837Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2146194Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2146533Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:29:59.2146870Z     x = self.up3(x, s3)
2025-11-03T16:29:59.2147178Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2147545Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2147715Z 
2025-11-03T16:29:59.2147834Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2148226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2148588Z     return mod(*inputs)
2025-11-03T16:29:59.2148909Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2149265Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2149601Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:29:59.2149938Z     s3 = self.down2(s2)
2025-11-03T16:29:59.2150248Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.2150613Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2150779Z 
2025-11-03T16:29:59.2150901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2151289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2151643Z     return mod(*inputs)
2025-11-03T16:29:59.2151959Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2152375Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2152717Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:29:59.2153058Z     x = self.up3(x, s3)
2025-11-03T16:29:59.2153368Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2153785Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2153998Z 
2025-11-03T16:29:59.2154099Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2154360Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2154754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2155108Z     return mod(*inputs)
2025-11-03T16:29:59.2155420Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2155771Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2156123Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:29:59.2156463Z     x = self.up3(x, s3)
2025-11-03T16:29:59.2156778Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2157182Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2157394Z 
2025-11-03T16:29:59.2157509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2157907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2158264Z     return mod(*inputs)
2025-11-03T16:29:59.2158582Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2158935Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2159285Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:29:59.2159668Z     x = self.up4(x, s2)
2025-11-03T16:29:59.2159981Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2160349Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2160515Z 
2025-11-03T16:29:59.2160628Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2161024Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2161376Z     return mod(*inputs)
2025-11-03T16:29:59.2161690Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2162035Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2162384Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:29:59.2162718Z     x = self.up4(x, s2)
2025-11-03T16:29:59.2163027Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2163384Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2163557Z 
2025-11-03T16:29:59.2163673Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2164070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2164426Z     return mod(*inputs)
2025-11-03T16:29:59.2164740Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2165087Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2165446Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:29:59.2165772Z     s2 = self.down1(s1)
2025-11-03T16:29:59.2166071Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:29:59.2166430Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2166606Z 
2025-11-03T16:29:59.2166723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2167163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2167520Z     return mod(*inputs)
2025-11-03T16:29:59.2167835Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2168183Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2168529Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:29:59.2168866Z     x = self.up4(x, s2)
2025-11-03T16:29:59.2169173Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2169577Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2169797Z 
2025-11-03T16:29:59.2169888Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2170152Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2170546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2170902Z     return mod(*inputs)
2025-11-03T16:29:59.2171210Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2171563Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2171906Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:29:59.2172239Z     x = self.up4(x, s2)
2025-11-03T16:29:59.2172537Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2172951Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2173170Z 
2025-11-03T16:29:59.2173282Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2173676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2174029Z     return mod(*inputs)
2025-11-03T16:29:59.2174383Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2174749Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2175097Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:29:59.2175434Z     x = self.up5(x, s1)
2025-11-03T16:29:59.2175738Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2176107Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2176284Z 
2025-11-03T16:29:59.2176398Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2176794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2177168Z     return mod(*inputs)
2025-11-03T16:29:59.2177474Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2177834Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2178177Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:29:59.2178511Z     x = self.up5(x, s1)
2025-11-03T16:29:59.2178811Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:29:59.2179176Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:29:59.2179351Z 
2025-11-03T16:29:59.2179466Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2179857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2180234Z     return mod(*inputs)
2025-11-03T16:29:59.2180541Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2180901Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2181256Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-11-03T16:29:59.2181638Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:29:59.2181857Z 
2025-11-03T16:29:59.2181971Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2182368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2182741Z     return mod(*inputs)
2025-11-03T16:29:59.2183058Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2183413Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2183751Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:29:59.2184091Z     x = self.up5(x, s1)
2025-11-03T16:29:59.2184407Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2184903Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2185123Z 
2025-11-03T16:29:59.2185222Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2185498Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2185906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2186450Z     return mod(*inputs)
2025-11-03T16:29:59.2186780Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2187134Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2187485Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:29:59.2187823Z     x = self.up5(x, s1)
2025-11-03T16:29:59.2188135Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2188544Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2188772Z 
2025-11-03T16:29:59.2188887Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2189375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2189755Z     return mod(*inputs)
2025-11-03T16:29:59.2190072Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2190420Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2190767Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:29:59.2191102Z     x = self.up5(x, s1)
2025-11-03T16:29:59.2191413Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:29:59.2191818Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:29:59.2192037Z 
2025-11-03T16:29:59.2192152Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2192563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2192937Z     return mod(*inputs)
2025-11-03T16:29:59.2193252Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:29:59.2193603Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:29:59.2193949Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-11-03T16:29:59.2194317Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-11-03T16:29:59.2194480Z 
2025-11-03T16:29:59.2194599Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2194987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2195363Z     return mod(*inputs)
2025-11-03T16:29:59.2195677Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 57, in forward
2025-11-03T16:29:59.2196039Z     V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :])
2025-11-03T16:29:59.2196192Z 
2025-11-03T16:29:59.2196313Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2196699Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2197106Z     return mod(*inputs)
2025-11-03T16:29:59.2197413Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 61, in forward
2025-11-03T16:29:59.2197781Z     g_I0_F_t_0_f = self.trainFlowBackWarp(I0, F_t_0_f)
2025-11-03T16:29:59.2198136Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:29:59.2198474Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:29:59.2198620Z 
2025-11-03T16:29:59.2198732Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2199117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2199460Z     return mod(*inputs)
2025-11-03T16:29:59.2199758Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 62, in forward
2025-11-03T16:29:59.2200125Z     g_I1_F_t_1_f = self.trainFlowBackWarp(I1, F_t_1_f)
2025-11-03T16:29:59.2200491Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:29:59.2200830Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:29:59.2200964Z 
2025-11-03T16:29:59.2201075Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2201458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2201801Z     return mod(*inputs)
2025-11-03T16:29:59.2202108Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 79, in forward
2025-11-03T16:29:59.2202472Z     + L1_lossFn(self.trainFlowBackWarp(I0, F_1_0), I1)
2025-11-03T16:29:59.2202822Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:29:59.2203156Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:29:59.2203296Z 
2025-11-03T16:29:59.2203407Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2204367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2204734Z     return mod(*inputs)
2025-11-03T16:29:59.2205048Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2205472Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2205694Z 
2025-11-03T16:29:59.2205814Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2206200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2206542Z     return mod(*inputs)
2025-11-03T16:29:59.2206854Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2207272Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2207487Z 
2025-11-03T16:29:59.2207605Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2207991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2208333Z     return mod(*inputs)
2025-11-03T16:29:59.2208643Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2209059Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2209272Z 
2025-11-03T16:29:59.2209389Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2209763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2210108Z     return mod(*inputs)
2025-11-03T16:29:59.2210415Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2210828Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2211038Z 
2025-11-03T16:29:59.2211158Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2211583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2211926Z     return mod(*inputs)
2025-11-03T16:29:59.2212235Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2212649Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2212861Z 
2025-11-03T16:29:59.2212981Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2213358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2213705Z     return mod(*inputs)
2025-11-03T16:29:59.2214022Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2214453Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2214457Z 
2025-11-03T16:29:59.2214569Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2214787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2214867Z     return mod(*inputs)
2025-11-03T16:29:59.2215067Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2215231Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2215235Z 
2025-11-03T16:29:59.2215348Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2215570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2215642Z     return mod(*inputs)
2025-11-03T16:29:59.2215982Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2216155Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2216160Z 
2025-11-03T16:29:59.2216337Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2216566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2216639Z     return mod(*inputs)
2025-11-03T16:29:59.2216840Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2217007Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2217011Z 
2025-11-03T16:29:59.2217124Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2217344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2217417Z     return mod(*inputs)
2025-11-03T16:29:59.2217627Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2217784Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2217788Z 
2025-11-03T16:29:59.2217907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2218130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2218201Z     return mod(*inputs)
2025-11-03T16:29:59.2218406Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2218561Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2218565Z 
2025-11-03T16:29:59.2218677Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2218896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2218969Z     return mod(*inputs)
2025-11-03T16:29:59.2219179Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2219334Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2219383Z 
2025-11-03T16:29:59.2219503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2219715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2219787Z     return mod(*inputs)
2025-11-03T16:29:59.2219995Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2220149Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2220154Z 
2025-11-03T16:29:59.2220272Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2220484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2220557Z     return mod(*inputs)
2025-11-03T16:29:59.2220766Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2220926Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2220932Z 
2025-11-03T16:29:59.2221051Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2221264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2221335Z     return mod(*inputs)
2025-11-03T16:29:59.2221542Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2221698Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2221702Z 
2025-11-03T16:29:59.2221821Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2222033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2222111Z     return mod(*inputs)
2025-11-03T16:29:59.2222312Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2222508Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2222516Z 
2025-11-03T16:29:59.2222638Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2222849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2222927Z     return mod(*inputs)
2025-11-03T16:29:59.2223127Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2223283Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2223295Z 
2025-11-03T16:29:59.2223408Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2223616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2223695Z     return mod(*inputs)
2025-11-03T16:29:59.2223893Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2224056Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2224062Z 
2025-11-03T16:29:59.2224173Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2224384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2224464Z     return mod(*inputs)
2025-11-03T16:29:59.2224663Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2224885Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2224892Z 
2025-11-03T16:29:59.2225008Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2225221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2225299Z     return mod(*inputs)
2025-11-03T16:29:59.2225499Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2225665Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2225727Z 
2025-11-03T16:29:59.2225841Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2226070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2226143Z     return mod(*inputs)
2025-11-03T16:29:59.2226341Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2226502Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2226506Z 
2025-11-03T16:29:59.2226617Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2226844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2226915Z     return mod(*inputs)
2025-11-03T16:29:59.2227116Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2227281Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2227286Z 
2025-11-03T16:29:59.2227397Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2227618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2227688Z     return mod(*inputs)
2025-11-03T16:29:59.2227893Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2228045Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2228049Z 
2025-11-03T16:29:59.2228161Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2228376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2228447Z     return mod(*inputs)
2025-11-03T16:29:59.2228692Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2228853Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2228856Z 
2025-11-03T16:29:59.2228967Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2229187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2229258Z     return mod(*inputs)
2025-11-03T16:29:59.2229468Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2229622Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2229625Z 
2025-11-03T16:29:59.2229744Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2229958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2230033Z     return mod(*inputs)
2025-11-03T16:29:59.2230246Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2230402Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2230406Z 
2025-11-03T16:29:59.2230505Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2230595Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2230709Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2230931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2231001Z     return mod(*inputs)
2025-11-03T16:29:59.2231210Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 80, in forward
2025-11-03T16:29:59.2231322Z     + L1_lossFn(self.trainFlowBackWarp(I1, F_0_1), I0)
2025-11-03T16:29:59.2231521Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:29:59.2231612Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:29:59.2231616Z 
2025-11-03T16:29:59.2231705Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2231862Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2232075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2232147Z     return mod(*inputs)
2025-11-03T16:29:59.2232356Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2232513Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2232517Z 
2025-11-03T16:29:59.2232636Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2232848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2232926Z     return mod(*inputs)
2025-11-03T16:29:59.2233122Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2233280Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2233286Z 
2025-11-03T16:29:59.2233405Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2233627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2233703Z     return mod(*inputs)
2025-11-03T16:29:59.2233906Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2234056Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2234069Z 
2025-11-03T16:29:59.2234178Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2234393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2234468Z     return mod(*inputs)
2025-11-03T16:29:59.2234661Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2234850Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2234858Z 
2025-11-03T16:29:59.2234968Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2235182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2235259Z     return mod(*inputs)
2025-11-03T16:29:59.2235453Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2235611Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2235615Z 
2025-11-03T16:29:59.2235723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2235925Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2236003Z     return mod(*inputs)
2025-11-03T16:29:59.2236197Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2236357Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2236364Z 
2025-11-03T16:29:59.2236471Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2236684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2236753Z     return mod(*inputs)
2025-11-03T16:29:59.2236948Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2237105Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2237109Z 
2025-11-03T16:29:59.2237216Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2237429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2237496Z     return mod(*inputs)
2025-11-03T16:29:59.2237692Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2237896Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2237900Z 
2025-11-03T16:29:59.2238011Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2238228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2238299Z     return mod(*inputs)
2025-11-03T16:29:59.2238499Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2238660Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2238664Z 
2025-11-03T16:29:59.2238773Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2238989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2239060Z     return mod(*inputs)
2025-11-03T16:29:59.2239277Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2239428Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2239431Z 
2025-11-03T16:29:59.2239537Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2239750Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2239818Z     return mod(*inputs)
2025-11-03T16:29:59.2240016Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2240164Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2240168Z 
2025-11-03T16:29:59.2240280Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2240485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2240552Z     return mod(*inputs)
2025-11-03T16:29:59.2240787Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:29:59.2240942Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:29:59.2240946Z 
2025-11-03T16:29:59.2241059Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2241141Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2241224Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2241316Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2241399Z cudagraph partition due to non gpu ops
2025-11-03T16:29:59.2241515Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:59.2241722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:59.2241792Z     return mod(*inputs)
2025-11-03T16:29:59.2241994Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 94, in forward
2025-11-03T16:29:59.2242135Z     loss = 204 * recnLoss + 102 * warpLoss + 0.005 * prcpLoss + loss_smooth
2025-11-03T16:29:59.2242142Z 
2025-11-03T16:30:27.7355567Z Compilation time (from dynamo_timed): 55.573031313
2025-11-03T16:30:27.7356049Z pass
2025-11-03T16:30:27.7356393Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:27.7357262Z TIMING: _recursive_pre_grad_passes:0.00855 _recursive_joint_graph_passes:0.35547 _recursive_post_grad_passes:0.20295 async_compile.wait:1.70533 code_gen:27.45209 inductor_compile:33.80081 backend_compile:47.76981 gc:0.00052 entire_frame_compile:55.57303 total_wall_time:55.57303
2025-11-03T16:30:27.7358409Z STATS: call_* op count: 374 | FakeTensorMode.__torch_dispatch__:12646 | attempt fast:353 | fast is_contiguous:290 | FakeTensor.__torch_dispatch__:9374 | slow no contiguity match:63 | ProxyTorchDispatchMode.__torch_dispatch__:3330
2025-11-03T16:30:27.7359180Z Dynamo produced 1 graphs covering 374 ops with 0 graph breaks (0 unique)
2025-11-03T16:30:32.3632319Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:30:32.3633621Z   import pynvml  # type: ignore[import]
2025-11-03T16:30:34.6463973Z 
2025-11-03T16:30:35.0343373Z 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
2025-11-03T16:30:35.0565977Z 
2025-11-03T16:30:35.0566430Z 
2025-11-03T16:30:35.1572263Z   0% 0.00/233M [00:00<?, ?B/s]
2025-11-03T16:30:35.1572501Z 
2025-11-03T16:30:35.2577749Z  20% 47.4M/233M [00:00<00:00, 496MB/s]
2025-11-03T16:30:35.2578138Z 
2025-11-03T16:30:35.3729609Z  43% 100M/233M [00:00<00:00, 529MB/s] 
2025-11-03T16:30:35.3729853Z 
2025-11-03T16:30:35.4727515Z  65% 151M/233M [00:00<00:00, 495MB/s]
2025-11-03T16:30:35.4727970Z 
2025-11-03T16:30:35.5263820Z  87% 203M/233M [00:00<00:00, 514MB/s]
2025-11-03T16:30:35.5264156Z 100% 233M/233M [00:00<00:00, 521MB/s]
2025-11-03T16:30:35.8463502Z 
2025-11-03T16:30:35.8464297Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:30:35.8465347Z cpu  eval  alexnet                            
2025-11-03T16:30:35.9927385Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:36.0331800Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:36.0724175Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:39.8463691Z cudagraph partition due to non gpu ops
2025-11-03T16:30:39.8464086Z cudagraph partition due to non gpu ops
2025-11-03T16:30:39.8464355Z cudagraph partition due to non gpu ops
2025-11-03T16:30:39.8464604Z cudagraph partition due to non gpu ops
2025-11-03T16:30:39.8465075Z cudagraph partition due to non gpu ops
2025-11-03T16:30:39.8465777Z cudagraph partition due to non gpu ops
2025-11-03T16:30:39.8467370Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8468008Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8468394Z     return mod(*inputs)
2025-11-03T16:30:39.8468801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:30:39.8469220Z     x = self.features(x)
2025-11-03T16:30:39.8469355Z 
2025-11-03T16:30:39.8469479Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8469899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8470272Z     return mod(*inputs)
2025-11-03T16:30:39.8470642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:30:39.8471040Z     x = self.features(x)
2025-11-03T16:30:39.8471182Z 
2025-11-03T16:30:39.8471308Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8471719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8472127Z     return mod(*inputs)
2025-11-03T16:30:39.8472501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:30:39.8472888Z     x = self.features(x)
2025-11-03T16:30:39.8473007Z 
2025-11-03T16:30:39.8473131Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8473535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8473883Z     return mod(*inputs)
2025-11-03T16:30:39.8474251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:30:39.8474642Z     x = self.features(x)
2025-11-03T16:30:39.8474758Z 
2025-11-03T16:30:39.8474884Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8475501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8475857Z     return mod(*inputs)
2025-11-03T16:30:39.8476216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:30:39.8476634Z     x = self.features(x)
2025-11-03T16:30:39.8476760Z 
2025-11-03T16:30:39.8476881Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8477277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8477613Z     return mod(*inputs)
2025-11-03T16:30:39.8477960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:30:39.8478329Z     x = self.features(x)
2025-11-03T16:30:39.8478440Z 
2025-11-03T16:30:39.8478558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8478949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8479282Z     return mod(*inputs)
2025-11-03T16:30:39.8479637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:30:39.8480012Z     x = self.features(x)
2025-11-03T16:30:39.8480122Z 
2025-11-03T16:30:39.8480238Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8480613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8480954Z     return mod(*inputs)
2025-11-03T16:30:39.8481309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:30:39.8481688Z     x = self.features(x)
2025-11-03T16:30:39.8481800Z 
2025-11-03T16:30:39.8481918Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8483170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8483529Z     return mod(*inputs)
2025-11-03T16:30:39.8483890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:30:39.8484273Z     x = self.features(x)
2025-11-03T16:30:39.8484387Z 
2025-11-03T16:30:39.8484498Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8484968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8485373Z     return mod(*inputs)
2025-11-03T16:30:39.8485721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:30:39.8486475Z     x = self.features(x)
2025-11-03T16:30:39.8486602Z 
2025-11-03T16:30:39.8486715Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8487152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8487517Z     return mod(*inputs)
2025-11-03T16:30:39.8487870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 49, in forward
2025-11-03T16:30:39.8488248Z     x = self.avgpool(x)
2025-11-03T16:30:39.8488371Z 
2025-11-03T16:30:39.8488481Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8488881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8489226Z     return mod(*inputs)
2025-11-03T16:30:39.8489577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-11-03T16:30:39.8489957Z     x = self.classifier(x)
2025-11-03T16:30:39.8490088Z 
2025-11-03T16:30:39.8490200Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8490584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8490931Z     return mod(*inputs)
2025-11-03T16:30:39.8491355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-11-03T16:30:39.8491737Z     x = self.classifier(x)
2025-11-03T16:30:39.8491864Z 
2025-11-03T16:30:39.8491977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8492358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8492703Z     return mod(*inputs)
2025-11-03T16:30:39.8493038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-11-03T16:30:39.8493410Z     x = self.classifier(x)
2025-11-03T16:30:39.8493538Z 
2025-11-03T16:30:39.8493650Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8494035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8494370Z     return mod(*inputs)
2025-11-03T16:30:39.8494713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-11-03T16:30:39.8495083Z     x = self.classifier(x)
2025-11-03T16:30:39.8495199Z 
2025-11-03T16:30:39.8495316Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:39.8495692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:39.8496027Z     return mod(*inputs)
2025-11-03T16:30:39.8496375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-11-03T16:30:39.8496753Z     x = self.classifier(x)
2025-11-03T16:30:39.8496867Z 
2025-11-03T16:30:50.4033173Z Compilation time (from dynamo_timed): 13.826463222
2025-11-03T16:30:50.4038146Z pass
2025-11-03T16:30:50.4042558Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:50.4048799Z TIMING: _recursive_pre_grad_passes:0.0036 _recursive_joint_graph_passes:0.15316 _recursive_post_grad_passes:0.01831 async_compile.wait:0.75273 code_gen:10.70164 inductor_compile:11.02308 backend_compile:13.31118 gc:0.00068 entire_frame_compile:13.82646 total_wall_time:13.82646
2025-11-03T16:30:50.4050132Z STATS: call_* op count: 22 | FakeTensorMode.__torch_dispatch__:1192 | FakeTensor.__torch_dispatch__:165 | attempt fast:41 | fast is_contiguous:41 | ProxyTorchDispatchMode.__torch_dispatch__:106
2025-11-03T16:30:50.4050769Z Dynamo produced 1 graphs covering 22 ops with 0 graph breaks (0 unique)
2025-11-03T16:30:52.1239493Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:30:52.1240405Z   import pynvml  # type: ignore[import]
2025-11-03T16:30:54.4221259Z 
2025-11-03T16:30:55.6773478Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:30:55.6773821Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:30:55.6776262Z cpu  eval  basic_gnn_edgecnn                  
2025-11-03T16:30:56.2156277Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:56.4928589Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:56.8032213Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:58.3758030Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3758601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3758995Z     return mod(*inputs)
2025-11-03T16:30:58.3759469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3759925Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3760245Z   File "/tmp/jenkins_pyg/tmp8bwv3_hx.py", line 233, in forward
2025-11-03T16:30:58.3761228Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3761578Z   File "/tmp/jenkins_pyg/tmp8bwv3_hx.py", line 192, in propagate
2025-11-03T16:30:58.3762013Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:58.3762589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:58.3763100Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:58.3763582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:58.3764047Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:58.3764511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-11-03T16:30:58.3764984Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-11-03T16:30:58.3765452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:58.3765871Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:58.3766302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-11-03T16:30:58.3766720Z     return src.new_zeros(size).scatter_reduce_(
2025-11-03T16:30:58.3766888Z 
2025-11-03T16:30:58.3767017Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3767468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3767837Z     return mod(*inputs)
2025-11-03T16:30:58.3768241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3768775Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3769059Z   File "/tmp/jenkins_pyg/tmp3ue_me5c.py", line 233, in forward
2025-11-03T16:30:58.3769357Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3769671Z   File "/tmp/jenkins_pyg/tmp3ue_me5c.py", line 192, in propagate
2025-11-03T16:30:58.3770056Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:58.3770598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:58.3771114Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:58.3771564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:58.3772017Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:58.3772479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-11-03T16:30:58.3772939Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-11-03T16:30:58.3773384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:58.3773793Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:58.3774222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-11-03T16:30:58.3774631Z     return src.new_zeros(size).scatter_reduce_(
2025-11-03T16:30:58.3774795Z 
2025-11-03T16:30:58.3774922Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3775339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3775716Z     return mod(*inputs)
2025-11-03T16:30:58.3776100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3776559Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3776935Z   File "/tmp/jenkins_pyg/tmpjcdlw3lz.py", line 233, in forward
2025-11-03T16:30:58.3777239Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3777547Z   File "/tmp/jenkins_pyg/tmpjcdlw3lz.py", line 192, in propagate
2025-11-03T16:30:58.3777927Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:58.3778462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:58.3778947Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:58.3779400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:58.3779846Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:58.3780289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-11-03T16:30:58.3780742Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-11-03T16:30:58.3781178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:58.3781596Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:58.3782008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-11-03T16:30:58.3782419Z     return src.new_zeros(size).scatter_reduce_(
2025-11-03T16:30:58.3782582Z 
2025-11-03T16:30:58.3782709Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3783109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3783474Z     return mod(*inputs)
2025-11-03T16:30:58.3783899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3784319Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3784586Z   File "/tmp/jenkins_pyg/tmp8bwv3_hx.py", line 233, in forward
2025-11-03T16:30:58.3785164Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3785476Z   File "/tmp/jenkins_pyg/tmp8bwv3_hx.py", line 191, in propagate
2025-11-03T16:30:58.3785785Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3786474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3786923Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3787111Z 
2025-11-03T16:30:58.3787228Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3787633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3787994Z     return mod(*inputs)
2025-11-03T16:30:58.3788375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3788799Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3789070Z   File "/tmp/jenkins_pyg/tmp8bwv3_hx.py", line 233, in forward
2025-11-03T16:30:58.3789373Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3789677Z   File "/tmp/jenkins_pyg/tmp8bwv3_hx.py", line 191, in propagate
2025-11-03T16:30:58.3789973Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3790403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3790836Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3791255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:30:58.3791629Z     x = lin(x)
2025-11-03T16:30:58.3791987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:58.3792482Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:58.3792644Z 
2025-11-03T16:30:58.3792766Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3793169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3793521Z     return mod(*inputs)
2025-11-03T16:30:58.3793904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3794313Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3794586Z   File "/tmp/jenkins_pyg/tmp8bwv3_hx.py", line 233, in forward
2025-11-03T16:30:58.3794875Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3795175Z   File "/tmp/jenkins_pyg/tmp8bwv3_hx.py", line 191, in propagate
2025-11-03T16:30:58.3795474Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3795902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3796333Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3796744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:30:58.3797128Z     x = self.act(x)
2025-11-03T16:30:58.3797245Z 
2025-11-03T16:30:58.3797359Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3797761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3798121Z     return mod(*inputs)
2025-11-03T16:30:58.3798494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3798904Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3799174Z   File "/tmp/jenkins_pyg/tmp8bwv3_hx.py", line 233, in forward
2025-11-03T16:30:58.3799534Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3799833Z   File "/tmp/jenkins_pyg/tmp8bwv3_hx.py", line 191, in propagate
2025-11-03T16:30:58.3800133Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3800561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3800992Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3801409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:30:58.3801803Z     x = self.lins[-1](x)
2025-11-03T16:30:58.3802178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:58.3802595Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:58.3802759Z 
2025-11-03T16:30:58.3802865Z cudagraph partition due to non gpu ops
2025-11-03T16:30:58.3803190Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3803586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3803950Z     return mod(*inputs)
2025-11-03T16:30:58.3804331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3804745Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3805015Z   File "/tmp/jenkins_pyg/tmp3ue_me5c.py", line 233, in forward
2025-11-03T16:30:58.3805306Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3805609Z   File "/tmp/jenkins_pyg/tmp3ue_me5c.py", line 191, in propagate
2025-11-03T16:30:58.3805912Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3806339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3806769Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3806992Z 
2025-11-03T16:30:58.3807109Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3807510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3807870Z     return mod(*inputs)
2025-11-03T16:30:58.3808253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3808654Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3808919Z   File "/tmp/jenkins_pyg/tmp3ue_me5c.py", line 233, in forward
2025-11-03T16:30:58.3809213Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3809509Z   File "/tmp/jenkins_pyg/tmp3ue_me5c.py", line 191, in propagate
2025-11-03T16:30:58.3809794Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3810223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3810656Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3811076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:30:58.3811454Z     x = lin(x)
2025-11-03T16:30:58.3811797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:58.3812209Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:58.3812376Z 
2025-11-03T16:30:58.3812490Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3812889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3813238Z     return mod(*inputs)
2025-11-03T16:30:58.3813616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3814120Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3814396Z   File "/tmp/jenkins_pyg/tmp3ue_me5c.py", line 233, in forward
2025-11-03T16:30:58.3814694Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3814986Z   File "/tmp/jenkins_pyg/tmp3ue_me5c.py", line 191, in propagate
2025-11-03T16:30:58.3815285Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3815715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3816144Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3816557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:30:58.3816946Z     x = self.act(x)
2025-11-03T16:30:58.3817061Z 
2025-11-03T16:30:58.3817176Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3817578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3817950Z     return mod(*inputs)
2025-11-03T16:30:58.3818322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3818733Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3819002Z   File "/tmp/jenkins_pyg/tmp3ue_me5c.py", line 233, in forward
2025-11-03T16:30:58.3819296Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3819588Z   File "/tmp/jenkins_pyg/tmp3ue_me5c.py", line 191, in propagate
2025-11-03T16:30:58.3819882Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3820314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3820739Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3821158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:30:58.3821544Z     x = self.lins[-1](x)
2025-11-03T16:30:58.3821968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:58.3822393Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:58.3822556Z 
2025-11-03T16:30:58.3822660Z cudagraph partition due to non gpu ops
2025-11-03T16:30:58.3822928Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3823339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3823711Z     return mod(*inputs)
2025-11-03T16:30:58.3824105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3824518Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3824893Z   File "/tmp/jenkins_pyg/tmpjcdlw3lz.py", line 233, in forward
2025-11-03T16:30:58.3825208Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3825521Z   File "/tmp/jenkins_pyg/tmpjcdlw3lz.py", line 191, in propagate
2025-11-03T16:30:58.3825823Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3826246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3826679Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3826858Z 
2025-11-03T16:30:58.3826974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3827375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3827740Z     return mod(*inputs)
2025-11-03T16:30:58.3828115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3828525Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3828794Z   File "/tmp/jenkins_pyg/tmpjcdlw3lz.py", line 233, in forward
2025-11-03T16:30:58.3829139Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3829438Z   File "/tmp/jenkins_pyg/tmpjcdlw3lz.py", line 191, in propagate
2025-11-03T16:30:58.3829732Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3830156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3830584Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3831001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:30:58.3831378Z     x = lin(x)
2025-11-03T16:30:58.3831732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:58.3832145Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:58.3832304Z 
2025-11-03T16:30:58.3832429Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3832834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3833192Z     return mod(*inputs)
2025-11-03T16:30:58.3833571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3833976Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3834246Z   File "/tmp/jenkins_pyg/tmpjcdlw3lz.py", line 233, in forward
2025-11-03T16:30:58.3834537Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3834839Z   File "/tmp/jenkins_pyg/tmpjcdlw3lz.py", line 191, in propagate
2025-11-03T16:30:58.3835136Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3835562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3836016Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3836432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:30:58.3836864Z     x = self.act(x)
2025-11-03T16:30:58.3836973Z 
2025-11-03T16:30:58.3837092Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:58.3837491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:58.3837838Z     return mod(*inputs)
2025-11-03T16:30:58.3838214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:58.3838623Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:58.3838894Z   File "/tmp/jenkins_pyg/tmpjcdlw3lz.py", line 233, in forward
2025-11-03T16:30:58.3839190Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:30:58.3839485Z   File "/tmp/jenkins_pyg/tmpjcdlw3lz.py", line 191, in propagate
2025-11-03T16:30:58.3839780Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-11-03T16:30:58.3840208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:30:58.3840640Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:30:58.3841050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:30:58.3841440Z     x = self.lins[-1](x)
2025-11-03T16:30:58.3841808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:58.3842215Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:58.3842371Z 
2025-11-03T16:30:58.3842469Z cudagraph partition due to non gpu ops
2025-11-03T16:31:07.4355228Z Compilation time (from dynamo_timed): 10.465509024
2025-11-03T16:31:07.4355818Z pass
2025-11-03T16:31:07.4356781Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:07.4358015Z TIMING: _recursive_pre_grad_passes:0.0042 _recursive_joint_graph_passes:0.15659 _recursive_post_grad_passes:0.01945 async_compile.wait:0.56199 code_gen:8.85111 inductor_compile:8.9646 backend_compile:9.96897 gc:0.00017 entire_frame_compile:10.46551 total_wall_time:10.46551
2025-11-03T16:31:07.4359034Z STATS: call_* op count: 55 | FakeTensorMode.__torch_dispatch__:950 | FakeTensor.__torch_dispatch__:299 | ProxyTorchDispatchMode.__torch_dispatch__:198
2025-11-03T16:31:07.4359581Z Dynamo produced 1 graphs covering 55 ops with 0 graph breaks (0 unique)
2025-11-03T16:31:09.2235171Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:31:09.2236602Z   import pynvml  # type: ignore[import]
2025-11-03T16:31:11.6056023Z 
2025-11-03T16:31:12.7487483Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:31:12.7487829Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:31:12.7488095Z cpu  eval  basic_gnn_gcn                      
2025-11-03T16:31:12.9076075Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:13.0040889Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:13.0860448Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:14.3808159Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:14.3808801Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/loop.py", line 340, in add_remaining_self_loops
2025-11-03T16:31:14.3809268Z     mask = edge_index[0] != edge_index[1]
2025-11-03T16:31:14.3809434Z 
2025-11-03T16:31:14.3809557Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:14.3810098Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/loop.py", line 343, in add_remaining_self_loops
2025-11-03T16:31:14.3811008Z     loop_index = loop_index.unsqueeze(0).repeat(2, 1)
2025-11-03T16:31:14.3811181Z 
2025-11-03T16:31:23.3641612Z cudagraph partition due to non gpu ops
2025-11-03T16:31:23.3641952Z cudagraph partition due to non gpu ops
2025-11-03T16:31:23.3642295Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:23.3642888Z    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
2025-11-03T16:31:23.3643467Z     edge_index = torch.cat([edge_index[:, mask], loop_index], dim=1)
2025-11-03T16:31:23.3643686Z 
2025-11-03T16:31:24.0493173Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:24.0493819Z    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
2025-11-03T16:31:24.0494434Z     deg = scatter(edge_weight, idx, dim=0, dim_size=num_nodes, reduce='sum')
2025-11-03T16:31:24.0494946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-11-03T16:31:24.0495401Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:31:24.0495612Z 
2025-11-03T16:31:24.0495739Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:24.0496263Z    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
2025-11-03T16:31:24.0496868Z     edge_weight = torch.ones((edge_index.size(1), ), dtype=dtype,
2025-11-03T16:31:24.0497077Z 
2025-11-03T16:31:24.0497185Z cudagraph partition due to non gpu ops
2025-11-03T16:31:24.0497458Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:24.0498365Z    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
2025-11-03T16:31:24.0498919Z     edge_weight = deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
2025-11-03T16:31:24.0499179Z 
2025-11-03T16:31:25.0508515Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:25.0508990Z    File "/tmp/jenkins_pyg/tmp7uc_f3ix.py", line 240, in torch_dynamo_resume_in_forward_at_221
2025-11-03T16:31:25.0509342Z     x = self.lin(x)
2025-11-03T16:31:25.0509754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:31:25.0510195Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:31:25.0510361Z 
2025-11-03T16:31:25.0510494Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:25.0510881Z    File "/tmp/jenkins_pyg/tmp7uc_f3ix.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-11-03T16:31:25.0511337Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-11-03T16:31:25.0511733Z   File "/tmp/jenkins_pyg/tmp7uc_f3ix.py", line 188, in propagate
2025-11-03T16:31:25.0512147Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-11-03T16:31:25.0512714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:25.0513230Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:25.0513684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:25.0514164Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:25.0514622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-11-03T16:31:25.0515074Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-11-03T16:31:25.0515581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:25.0516379Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:25.0516809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-11-03T16:31:25.0517267Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:31:25.0517457Z 
2025-11-03T16:31:25.0517590Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:25.0517973Z    File "/tmp/jenkins_pyg/tmp7uc_f3ix.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-11-03T16:31:25.0518380Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-11-03T16:31:25.0518723Z   File "/tmp/jenkins_pyg/tmp7uc_f3ix.py", line 187, in propagate
2025-11-03T16:31:25.0519074Z     out = self.message(x_j=kwargs.x_j, edge_weight=kwargs.edge_weight)
2025-11-03T16:31:25.0519550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message
2025-11-03T16:31:25.0520036Z     return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j
2025-11-03T16:31:25.0520258Z 
2025-11-03T16:31:25.0520360Z cudagraph partition due to non gpu ops
2025-11-03T16:31:25.0520652Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:25.0521019Z    File "/tmp/jenkins_pyg/tmp7uc_f3ix.py", line 247, in torch_dynamo_resume_in_forward_at_221
2025-11-03T16:31:25.0521364Z     out = out + self.bias
2025-11-03T16:31:25.0521490Z 
2025-11-03T16:31:26.1066570Z Compilation time (from dynamo_timed): 12.880555909
2025-11-03T16:31:26.1066904Z pass
2025-11-03T16:31:26.1067225Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:26.1068587Z TIMING: gc:0.00843 entire_frame_compile:12.88056 _recursive_pre_grad_passes:0.00646 _recursive_joint_graph_passes:0.1492 _recursive_post_grad_passes:0.02059 async_compile.wait:2.24426 code_gen:10.78589 inductor_compile:10.91384 backend_compile:11.95616 total_wall_time:12.88056
2025-11-03T16:31:26.1069610Z STATS: call_* op count: 57 | FakeTensorMode.__torch_dispatch__:837 | FakeTensor.__torch_dispatch__:179 | ProxyTorchDispatchMode.__torch_dispatch__:97
2025-11-03T16:31:26.1070170Z Dynamo produced 6 graphs covering 57 ops with 6 graph breaks (1 unique)
2025-11-03T16:31:27.7923303Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:31:27.7924688Z   import pynvml  # type: ignore[import]
2025-11-03T16:31:30.1285310Z 
2025-11-03T16:31:31.2563718Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:31:31.2564032Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:31:31.2564273Z cpu  eval  basic_gnn_gin                      
2025-11-03T16:31:31.3474124Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:31.3943443Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:31.4369243Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:32.9768398Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9768914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9769336Z     return mod(*inputs)
2025-11-03T16:31:32.9769793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9770226Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9770502Z   File "/tmp/jenkins_pyg/tmpxvv0ff6f.py", line 225, in forward
2025-11-03T16:31:32.9770824Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:32.9771140Z   File "/tmp/jenkins_pyg/tmpxvv0ff6f.py", line 182, in propagate
2025-11-03T16:31:32.9771588Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-11-03T16:31:32.9772723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:32.9773245Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:32.9773720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:32.9774200Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:32.9774653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-11-03T16:31:32.9775115Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-11-03T16:31:32.9775577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:32.9776015Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:32.9776454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-11-03T16:31:32.9776892Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:31:32.9777085Z 
2025-11-03T16:31:32.9777215Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9777625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9777998Z     return mod(*inputs)
2025-11-03T16:31:32.9778389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9778809Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9779071Z   File "/tmp/jenkins_pyg/tmpxvv0ff6f.py", line 225, in forward
2025-11-03T16:31:32.9779385Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:32.9779844Z   File "/tmp/jenkins_pyg/tmpxvv0ff6f.py", line 180, in propagate
2025-11-03T16:31:32.9780169Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:31:32.9780482Z   File "/tmp/jenkins_pyg/tmpxvv0ff6f.py", line 127, in _collect
2025-11-03T16:31:32.9780761Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:31:32.9781032Z   File "/tmp/jenkins_pyg/tmpxvv0ff6f.py", line 87, in _lift
2025-11-03T16:31:32.9781360Z     return src.index_select(self.node_dim, index)
2025-11-03T16:31:32.9781531Z 
2025-11-03T16:31:32.9781661Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9782070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9782448Z     return mod(*inputs)
2025-11-03T16:31:32.9782849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9783281Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9783595Z   File "/tmp/jenkins_pyg/tmp9i70w6op.py", line 225, in forward
2025-11-03T16:31:32.9783898Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:32.9784204Z   File "/tmp/jenkins_pyg/tmp9i70w6op.py", line 182, in propagate
2025-11-03T16:31:32.9784581Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-11-03T16:31:32.9785349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:32.9785859Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:32.9786572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:32.9787043Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:32.9787485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-11-03T16:31:32.9787938Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-11-03T16:31:32.9788449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:32.9788875Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:32.9789294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-11-03T16:31:32.9789735Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:31:32.9789952Z 
2025-11-03T16:31:32.9790073Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9790479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9790851Z     return mod(*inputs)
2025-11-03T16:31:32.9791276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9791689Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9791968Z   File "/tmp/jenkins_pyg/tmps4ofwu33.py", line 225, in forward
2025-11-03T16:31:32.9792264Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:32.9792557Z   File "/tmp/jenkins_pyg/tmps4ofwu33.py", line 182, in propagate
2025-11-03T16:31:32.9792934Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-11-03T16:31:32.9793466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:32.9793962Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:32.9794427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:32.9794877Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:32.9795377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-11-03T16:31:32.9795831Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-11-03T16:31:32.9796273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:32.9796688Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:32.9797087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-11-03T16:31:32.9797517Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:31:32.9797694Z 
2025-11-03T16:31:32.9797792Z cudagraph partition due to non gpu ops
2025-11-03T16:31:32.9798056Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9798436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9798790Z     return mod(*inputs)
2025-11-03T16:31:32.9799164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9799567Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9799822Z   File "/tmp/jenkins_pyg/tmpxvv0ff6f.py", line 229, in forward
2025-11-03T16:31:32.9800087Z     out = out + (1 + self.eps) * x_r
2025-11-03T16:31:32.9800230Z 
2025-11-03T16:31:32.9800346Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9800734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9801083Z     return mod(*inputs)
2025-11-03T16:31:32.9801446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9801850Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9802107Z   File "/tmp/jenkins_pyg/tmpxvv0ff6f.py", line 231, in forward
2025-11-03T16:31:32.9802362Z     return self.nn(out)
2025-11-03T16:31:32.9802713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:31:32.9803132Z     x = lin(x)
2025-11-03T16:31:32.9803477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:31:32.9803879Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:31:32.9804035Z 
2025-11-03T16:31:32.9804156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9804532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9804879Z     return mod(*inputs)
2025-11-03T16:31:32.9805246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9805646Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9805897Z   File "/tmp/jenkins_pyg/tmpxvv0ff6f.py", line 231, in forward
2025-11-03T16:31:32.9806151Z     return self.nn(out)
2025-11-03T16:31:32.9806501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:31:32.9806875Z     x = self.act(x)
2025-11-03T16:31:32.9806979Z 
2025-11-03T16:31:32.9807098Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9807479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9807824Z     return mod(*inputs)
2025-11-03T16:31:32.9808187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9808578Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9808827Z   File "/tmp/jenkins_pyg/tmpxvv0ff6f.py", line 231, in forward
2025-11-03T16:31:32.9809080Z     return self.nn(out)
2025-11-03T16:31:32.9809433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:31:32.9809814Z     x = self.lins[-1](x)
2025-11-03T16:31:32.9810229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:31:32.9810647Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:31:32.9810816Z 
2025-11-03T16:31:32.9810934Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9811331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9811689Z     return mod(*inputs)
2025-11-03T16:31:32.9812062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9812467Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9812733Z   File "/tmp/jenkins_pyg/tmp9i70w6op.py", line 225, in forward
2025-11-03T16:31:32.9813030Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:32.9813330Z   File "/tmp/jenkins_pyg/tmp9i70w6op.py", line 180, in propagate
2025-11-03T16:31:32.9813640Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:31:32.9813949Z   File "/tmp/jenkins_pyg/tmp9i70w6op.py", line 127, in _collect
2025-11-03T16:31:32.9814219Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:31:32.9814485Z   File "/tmp/jenkins_pyg/tmp9i70w6op.py", line 87, in _lift
2025-11-03T16:31:32.9814761Z     return src.index_select(self.node_dim, index)
2025-11-03T16:31:32.9814933Z 
2025-11-03T16:31:32.9815025Z cudagraph partition due to non gpu ops
2025-11-03T16:31:32.9815289Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9815690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9816043Z     return mod(*inputs)
2025-11-03T16:31:32.9816427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9816836Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9817104Z   File "/tmp/jenkins_pyg/tmp9i70w6op.py", line 229, in forward
2025-11-03T16:31:32.9817450Z     out = out + (1 + self.eps) * x_r
2025-11-03T16:31:32.9817589Z 
2025-11-03T16:31:32.9817706Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9818103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9818456Z     return mod(*inputs)
2025-11-03T16:31:32.9818834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9819232Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9819498Z   File "/tmp/jenkins_pyg/tmp9i70w6op.py", line 231, in forward
2025-11-03T16:31:32.9819762Z     return self.nn(out)
2025-11-03T16:31:32.9820128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:31:32.9820509Z     x = lin(x)
2025-11-03T16:31:32.9820861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:31:32.9821278Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:31:32.9821446Z 
2025-11-03T16:31:32.9821561Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9821958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9822305Z     return mod(*inputs)
2025-11-03T16:31:32.9822681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9823085Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9823348Z   File "/tmp/jenkins_pyg/tmp9i70w6op.py", line 231, in forward
2025-11-03T16:31:32.9823605Z     return self.nn(out)
2025-11-03T16:31:32.9824159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:31:32.9824551Z     x = self.act(x)
2025-11-03T16:31:32.9824659Z 
2025-11-03T16:31:32.9824918Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9825337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9825685Z     return mod(*inputs)
2025-11-03T16:31:32.9826066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9826475Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9826742Z   File "/tmp/jenkins_pyg/tmp9i70w6op.py", line 231, in forward
2025-11-03T16:31:32.9827005Z     return self.nn(out)
2025-11-03T16:31:32.9827370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:31:32.9827749Z     x = self.lins[-1](x)
2025-11-03T16:31:32.9828113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:31:32.9828524Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:31:32.9828692Z 
2025-11-03T16:31:32.9828806Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9829207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9829566Z     return mod(*inputs)
2025-11-03T16:31:32.9829941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9830347Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9830608Z   File "/tmp/jenkins_pyg/tmps4ofwu33.py", line 225, in forward
2025-11-03T16:31:32.9830892Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:32.9831186Z   File "/tmp/jenkins_pyg/tmps4ofwu33.py", line 180, in propagate
2025-11-03T16:31:32.9831493Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:31:32.9831787Z   File "/tmp/jenkins_pyg/tmps4ofwu33.py", line 127, in _collect
2025-11-03T16:31:32.9832056Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:31:32.9832370Z   File "/tmp/jenkins_pyg/tmps4ofwu33.py", line 87, in _lift
2025-11-03T16:31:32.9832655Z     return src.index_select(self.node_dim, index)
2025-11-03T16:31:32.9832819Z 
2025-11-03T16:31:32.9832911Z cudagraph partition due to non gpu ops
2025-11-03T16:31:32.9833177Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9833573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9833931Z     return mod(*inputs)
2025-11-03T16:31:32.9834312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9834715Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9834980Z   File "/tmp/jenkins_pyg/tmps4ofwu33.py", line 229, in forward
2025-11-03T16:31:32.9835245Z     out = out + (1 + self.eps) * x_r
2025-11-03T16:31:32.9835382Z 
2025-11-03T16:31:32.9835504Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9835896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9836254Z     return mod(*inputs)
2025-11-03T16:31:32.9836635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9837054Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9837315Z   File "/tmp/jenkins_pyg/tmps4ofwu33.py", line 231, in forward
2025-11-03T16:31:32.9837568Z     return self.nn(out)
2025-11-03T16:31:32.9837926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:31:32.9838312Z     x = lin(x)
2025-11-03T16:31:32.9838652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:31:32.9839066Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:31:32.9839235Z 
2025-11-03T16:31:32.9839391Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9839794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9840169Z     return mod(*inputs)
2025-11-03T16:31:32.9840545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9840954Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9841217Z   File "/tmp/jenkins_pyg/tmps4ofwu33.py", line 231, in forward
2025-11-03T16:31:32.9841477Z     return self.nn(out)
2025-11-03T16:31:32.9841852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:31:32.9842217Z     x = self.act(x)
2025-11-03T16:31:32.9842330Z 
2025-11-03T16:31:32.9842442Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:32.9842838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:32.9843195Z     return mod(*inputs)
2025-11-03T16:31:32.9843565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:32.9843983Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:32.9844246Z   File "/tmp/jenkins_pyg/tmps4ofwu33.py", line 231, in forward
2025-11-03T16:31:32.9844505Z     return self.nn(out)
2025-11-03T16:31:32.9844866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:31:32.9845243Z     x = self.lins[-1](x)
2025-11-03T16:31:32.9845614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:31:32.9846023Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:31:32.9846180Z 
2025-11-03T16:31:42.0525264Z Compilation time (from dynamo_timed): 10.512656482
2025-11-03T16:31:42.0525624Z pass
2025-11-03T16:31:42.0525987Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:42.0527176Z TIMING: _recursive_pre_grad_passes:0.00404 _recursive_joint_graph_passes:0.15198 _recursive_post_grad_passes:0.02036 async_compile.wait:0.49799 code_gen:8.9146 inductor_compile:9.02793 backend_compile:10.02974 gc:0.00125 entire_frame_compile:10.51266 total_wall_time:10.51266
2025-11-03T16:31:42.0528186Z STATS: call_* op count: 52 | FakeTensorMode.__torch_dispatch__:864 | FakeTensor.__torch_dispatch__:296 | ProxyTorchDispatchMode.__torch_dispatch__:189
2025-11-03T16:31:42.0528761Z Dynamo produced 1 graphs covering 52 ops with 0 graph breaks (0 unique)
2025-11-03T16:31:43.7633455Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:31:43.7634895Z   import pynvml  # type: ignore[import]
2025-11-03T16:31:46.1075499Z 
2025-11-03T16:31:47.2313759Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:31:47.2314646Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:31:47.2315255Z cpu  eval  basic_gnn_sage                     
2025-11-03T16:31:47.3170600Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:47.3675036Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:47.4116730Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:48.9232954Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9233662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9234202Z     return mod(*inputs)
2025-11-03T16:31:48.9235095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9235609Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9236028Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 228, in forward
2025-11-03T16:31:48.9236364Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9236679Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 182, in propagate
2025-11-03T16:31:48.9237144Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9237699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9238214Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9238669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9239216Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9239681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9240170Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9240606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9241009Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9241417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-11-03T16:31:48.9241849Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:31:48.9242039Z 
2025-11-03T16:31:48.9242161Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9242563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9242932Z     return mod(*inputs)
2025-11-03T16:31:48.9243315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9243860Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9244132Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 228, in forward
2025-11-03T16:31:48.9244427Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9244720Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 180, in propagate
2025-11-03T16:31:48.9245030Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:31:48.9245357Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 127, in _collect
2025-11-03T16:31:48.9245640Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:31:48.9245906Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 87, in _lift
2025-11-03T16:31:48.9246199Z     return src.index_select(self.node_dim, index)
2025-11-03T16:31:48.9246375Z 
2025-11-03T16:31:48.9246495Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9246927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9247301Z     return mod(*inputs)
2025-11-03T16:31:48.9247693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9248116Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9248391Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 228, in forward
2025-11-03T16:31:48.9248681Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9248974Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 182, in propagate
2025-11-03T16:31:48.9249356Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9249899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9250397Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9250896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9251354Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9251801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9252256Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9252700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9253114Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9253525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:31:48.9253973Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:31:48.9254169Z 
2025-11-03T16:31:48.9254290Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9254697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9255060Z     return mod(*inputs)
2025-11-03T16:31:48.9255435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9255843Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9256114Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 228, in forward
2025-11-03T16:31:48.9256442Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9256739Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 182, in propagate
2025-11-03T16:31:48.9257120Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9257664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9258184Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9258681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9259118Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9259557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9260012Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9260451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9260864Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9261277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:31:48.9261708Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:31:48.9261898Z 
2025-11-03T16:31:48.9262022Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9262422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9262768Z     return mod(*inputs)
2025-11-03T16:31:48.9263139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9263546Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9263812Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 228, in forward
2025-11-03T16:31:48.9264105Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9264391Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 182, in propagate
2025-11-03T16:31:48.9265032Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9265567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9266106Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9266567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9267006Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9267437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9267880Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9268312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9268707Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9269110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-11-03T16:31:48.9269606Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:31:48.9269796Z 
2025-11-03T16:31:48.9269927Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9270326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9270672Z     return mod(*inputs)
2025-11-03T16:31:48.9271050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9271461Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9271731Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 228, in forward
2025-11-03T16:31:48.9272017Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9272312Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 182, in propagate
2025-11-03T16:31:48.9272682Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9273209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9273744Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9274182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9274621Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9275053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9275494Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9275928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9276329Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9276738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:31:48.9277167Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:31:48.9277354Z 
2025-11-03T16:31:48.9277478Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9277873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9278220Z     return mod(*inputs)
2025-11-03T16:31:48.9278596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9278994Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9279260Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 228, in forward
2025-11-03T16:31:48.9279541Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9279834Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 182, in propagate
2025-11-03T16:31:48.9280249Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9280838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9281324Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9281773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9282213Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9282637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9283056Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9283469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9283857Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9284243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:31:48.9284652Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:31:48.9284837Z 
2025-11-03T16:31:48.9284951Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9285327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9285664Z     return mod(*inputs)
2025-11-03T16:31:48.9286021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9286751Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9287022Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 228, in forward
2025-11-03T16:31:48.9287317Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9287614Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 182, in propagate
2025-11-03T16:31:48.9287984Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9288482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9289050Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9289496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9289931Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9290354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9290786Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9291195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9291582Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9291972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-11-03T16:31:48.9292372Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:31:48.9292549Z 
2025-11-03T16:31:48.9292662Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9293038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9293376Z     return mod(*inputs)
2025-11-03T16:31:48.9293724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9294109Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9294362Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 228, in forward
2025-11-03T16:31:48.9294642Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9294931Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 182, in propagate
2025-11-03T16:31:48.9295346Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9295876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9296364Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9296812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9297274Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9297704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9298141Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9298572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9298987Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9299397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:31:48.9299847Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:31:48.9300044Z 
2025-11-03T16:31:48.9300165Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9300571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9300946Z     return mod(*inputs)
2025-11-03T16:31:48.9301320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9301737Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9302008Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 228, in forward
2025-11-03T16:31:48.9302302Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9302590Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 182, in propagate
2025-11-03T16:31:48.9302970Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9303633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9304109Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9304548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9305067Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9305509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9305958Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9306405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9306813Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9307218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:31:48.9307662Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:31:48.9307858Z 
2025-11-03T16:31:48.9307951Z cudagraph partition due to non gpu ops
2025-11-03T16:31:48.9308194Z cudagraph partition due to non gpu ops
2025-11-03T16:31:48.9308459Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9308851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9309212Z     return mod(*inputs)
2025-11-03T16:31:48.9309587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9310000Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9310255Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 228, in forward
2025-11-03T16:31:48.9310589Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9310891Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 182, in propagate
2025-11-03T16:31:48.9311256Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9311762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9312234Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9312673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9313104Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9313521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9313940Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9314367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9314765Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9315160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-11-03T16:31:48.9315546Z     return out / broadcast(count, out, dim)
2025-11-03T16:31:48.9315696Z 
2025-11-03T16:31:48.9315812Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9316201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9316551Z     return mod(*inputs)
2025-11-03T16:31:48.9316922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9317325Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9317583Z   File "/tmp/jenkins_pyg/tmpofksrwlp.py", line 229, in forward
2025-11-03T16:31:48.9317907Z     out = self.lin_l(out)
2025-11-03T16:31:48.9318292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:31:48.9318715Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:31:48.9318886Z 
2025-11-03T16:31:48.9318976Z cudagraph partition due to non gpu ops
2025-11-03T16:31:48.9319236Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9319630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9319980Z     return mod(*inputs)
2025-11-03T16:31:48.9320362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9320760Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9321029Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 228, in forward
2025-11-03T16:31:48.9321327Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9321637Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 180, in propagate
2025-11-03T16:31:48.9321946Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:31:48.9322259Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 127, in _collect
2025-11-03T16:31:48.9322534Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:31:48.9322802Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 87, in _lift
2025-11-03T16:31:48.9323082Z     return src.index_select(self.node_dim, index)
2025-11-03T16:31:48.9323253Z 
2025-11-03T16:31:48.9323342Z cudagraph partition due to non gpu ops
2025-11-03T16:31:48.9323582Z cudagraph partition due to non gpu ops
2025-11-03T16:31:48.9323845Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9324246Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9324601Z     return mod(*inputs)
2025-11-03T16:31:48.9325024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9325446Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9325716Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 228, in forward
2025-11-03T16:31:48.9326007Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9326309Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 182, in propagate
2025-11-03T16:31:48.9326686Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9327225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9327716Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9328168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9328612Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9329063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9329514Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9329948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9330368Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9330781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-11-03T16:31:48.9331196Z     return out / broadcast(count, out, dim)
2025-11-03T16:31:48.9331350Z 
2025-11-03T16:31:48.9331476Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9331877Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9332257Z     return mod(*inputs)
2025-11-03T16:31:48.9332654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9333114Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9333380Z   File "/tmp/jenkins_pyg/tmpfwhozaw3.py", line 229, in forward
2025-11-03T16:31:48.9333637Z     out = self.lin_l(out)
2025-11-03T16:31:48.9334023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:31:48.9334443Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:31:48.9334599Z 
2025-11-03T16:31:48.9334719Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9335099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9335465Z     return mod(*inputs)
2025-11-03T16:31:48.9335834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-11-03T16:31:48.9336243Z     x = self.act(x)
2025-11-03T16:31:48.9336353Z 
2025-11-03T16:31:48.9336452Z cudagraph partition due to non gpu ops
2025-11-03T16:31:48.9336707Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9337097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9337462Z     return mod(*inputs)
2025-11-03T16:31:48.9337829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9338231Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9338496Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 228, in forward
2025-11-03T16:31:48.9338784Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9339078Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 180, in propagate
2025-11-03T16:31:48.9339376Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:31:48.9339728Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 127, in _collect
2025-11-03T16:31:48.9339996Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:31:48.9340255Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 87, in _lift
2025-11-03T16:31:48.9340532Z     return src.index_select(self.node_dim, index)
2025-11-03T16:31:48.9340690Z 
2025-11-03T16:31:48.9340775Z cudagraph partition due to non gpu ops
2025-11-03T16:31:48.9341002Z cudagraph partition due to non gpu ops
2025-11-03T16:31:48.9341259Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9341651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9342014Z     return mod(*inputs)
2025-11-03T16:31:48.9342400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9342811Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9343077Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 228, in forward
2025-11-03T16:31:48.9343363Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:31:48.9343664Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 182, in propagate
2025-11-03T16:31:48.9344043Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:31:48.9344582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:31:48.9345182Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:31:48.9345632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:31:48.9346084Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:31:48.9346508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:31:48.9346941Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:31:48.9347377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:31:48.9347823Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:31:48.9348225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-11-03T16:31:48.9348616Z     return out / broadcast(count, out, dim)
2025-11-03T16:31:48.9348765Z 
2025-11-03T16:31:48.9348888Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9349281Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9349624Z     return mod(*inputs)
2025-11-03T16:31:48.9349993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:31:48.9350402Z     x = self.convs[i](x, edge_index)
2025-11-03T16:31:48.9350665Z   File "/tmp/jenkins_pyg/tmpt3myrz5c.py", line 229, in forward
2025-11-03T16:31:48.9350929Z     out = self.lin_l(out)
2025-11-03T16:31:48.9351302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:31:48.9351711Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:31:48.9351865Z 
2025-11-03T16:31:48.9351985Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:48.9352375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:48.9352718Z     return mod(*inputs)
2025-11-03T16:31:48.9353087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-11-03T16:31:48.9353473Z     x = self.act(x)
2025-11-03T16:31:48.9353575Z 
2025-11-03T16:31:48.9353672Z cudagraph partition due to non gpu ops
2025-11-03T16:31:57.8882295Z Compilation time (from dynamo_timed): 10.388455908
2025-11-03T16:31:57.8882810Z pass
2025-11-03T16:31:57.8883492Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:57.8884519Z TIMING: _recursive_pre_grad_passes:0.00415 _recursive_joint_graph_passes:0.15471 _recursive_post_grad_passes:0.03432 async_compile.wait:0.50787 code_gen:8.85227 inductor_compile:8.98581 backend_compile:9.97476 gc:0.00019 entire_frame_compile:10.38846 total_wall_time:10.38846
2025-11-03T16:31:57.8885533Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:922 | FakeTensor.__torch_dispatch__:273 | ProxyTorchDispatchMode.__torch_dispatch__:222
2025-11-03T16:31:57.8886090Z Dynamo produced 1 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-11-03T16:31:59.5509891Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:31:59.5512129Z   import pynvml  # type: ignore[import]
2025-11-03T16:32:01.8997166Z 
2025-11-03T16:32:02.1308785Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:32:02.1309101Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:32:02.1310183Z cpu  eval  dcgan                              
2025-11-03T16:32:02.1470277Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:02.1550832Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:02.1606931Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:05.1801371Z cudagraph partition due to non gpu ops
2025-11-03T16:32:05.1801760Z cudagraph partition due to non gpu ops
2025-11-03T16:32:05.1802000Z cudagraph partition due to non gpu ops
2025-11-03T16:32:05.1802230Z cudagraph partition due to non gpu ops
2025-11-03T16:32:05.1802450Z cudagraph partition due to non gpu ops
2025-11-03T16:32:05.1802721Z cudagraph partition due to non gpu ops
2025-11-03T16:32:05.1803441Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:05.1803886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:32:05.1804249Z     return mod(*inputs)
2025-11-03T16:32:05.1804575Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:32:05.1804908Z     return self.main(input)
2025-11-03T16:32:05.1805041Z 
2025-11-03T16:32:05.1805170Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:05.1805594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:32:05.1805953Z     return mod(*inputs)
2025-11-03T16:32:05.1806249Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:32:05.1806578Z     return self.main(input)
2025-11-03T16:32:05.1806700Z 
2025-11-03T16:32:05.1806826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:05.1807214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:32:05.1807560Z     return mod(*inputs)
2025-11-03T16:32:05.1807850Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:32:05.1808167Z     return self.main(input)
2025-11-03T16:32:05.1808288Z 
2025-11-03T16:32:05.1808400Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:05.1808781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:32:05.1809124Z     return mod(*inputs)
2025-11-03T16:32:05.1809410Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:32:05.1809718Z     return self.main(input)
2025-11-03T16:32:05.1809845Z 
2025-11-03T16:32:05.1809957Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:05.1810446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:32:05.1810796Z     return mod(*inputs)
2025-11-03T16:32:05.1811079Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:32:05.1811383Z     return self.main(input)
2025-11-03T16:32:05.1811510Z 
2025-11-03T16:32:05.1811621Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:05.1812003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:32:05.1812351Z     return mod(*inputs)
2025-11-03T16:32:05.1812670Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:32:05.1812988Z     return self.main(input)
2025-11-03T16:32:05.1813111Z 
2025-11-03T16:32:05.1813219Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:05.1813601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:32:05.1813948Z     return mod(*inputs)
2025-11-03T16:32:05.1814235Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:32:05.1814559Z     return self.main(input)
2025-11-03T16:32:05.1814686Z 
2025-11-03T16:32:15.0128201Z Compilation time (from dynamo_timed): 12.3783374
2025-11-03T16:32:15.0128505Z pass
2025-11-03T16:32:15.0135002Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:15.0135949Z TIMING: _recursive_pre_grad_passes:0.0037 _recursive_joint_graph_passes:0.13828 _recursive_post_grad_passes:0.01948 async_compile.wait:0.66701 code_gen:9.73489 inductor_compile:10.06892 backend_compile:11.72579 gc:0.00141 entire_frame_compile:12.37834 total_wall_time:12.37834
2025-11-03T16:32:15.0137159Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:913 | attempt fast:26 | fast is_contiguous:26 | FakeTensor.__torch_dispatch__:371 | ProxyTorchDispatchMode.__torch_dispatch__:192
2025-11-03T16:32:15.0137838Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-11-03T16:32:16.6948842Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:32:16.6950232Z   import pynvml  # type: ignore[import]
2025-11-03T16:32:19.0452656Z 
2025-11-03T16:32:20.7925147Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:32:20.7925472Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:32:20.7932450Z cpu  eval  demucs                             
2025-11-03T16:32:22.1180586Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:22.7450193Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:23.3521169Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:25.6329995Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:25.6330460Z    File "/torchbench/torchbenchmark/models/demucs/__init__.py", line 32, in forward
2025-11-03T16:32:25.6330820Z     mix = sources.sum(dim=1)
2025-11-03T16:32:25.6330960Z 
2025-11-03T16:32:35.0251582Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0252235Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0257366Z     x = encode(x)
2025-11-03T16:32:35.0261198Z 
2025-11-03T16:32:35.0261648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0262096Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0262490Z     x = encode(x)
2025-11-03T16:32:35.0262603Z 
2025-11-03T16:32:35.0262731Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0263560Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0263923Z     x = encode(x)
2025-11-03T16:32:35.0264038Z 
2025-11-03T16:32:35.0264154Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0264544Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0265050Z     x = encode(x)
2025-11-03T16:32:35.0265157Z 
2025-11-03T16:32:35.0265272Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0265657Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0265991Z     x = encode(x)
2025-11-03T16:32:35.0266092Z 
2025-11-03T16:32:35.0266218Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0266604Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0266925Z     x = encode(x)
2025-11-03T16:32:35.0267031Z 
2025-11-03T16:32:35.0267138Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0267514Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0267832Z     x = encode(x)
2025-11-03T16:32:35.0267927Z 
2025-11-03T16:32:35.0268033Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0268401Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0268720Z     x = encode(x)
2025-11-03T16:32:35.0268815Z 
2025-11-03T16:32:35.0268931Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0269295Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0269636Z     x = encode(x)
2025-11-03T16:32:35.0269739Z 
2025-11-03T16:32:35.0269845Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0270210Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0270533Z     x = encode(x)
2025-11-03T16:32:35.0270632Z 
2025-11-03T16:32:35.0270858Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0271232Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0271551Z     x = encode(x)
2025-11-03T16:32:35.0271646Z 
2025-11-03T16:32:35.0271766Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0272134Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0272456Z     x = encode(x)
2025-11-03T16:32:35.0272561Z 
2025-11-03T16:32:35.0272669Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0273039Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0273353Z     x = encode(x)
2025-11-03T16:32:35.0273448Z 
2025-11-03T16:32:35.0273562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0273926Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0274245Z     x = encode(x)
2025-11-03T16:32:35.0274339Z 
2025-11-03T16:32:35.0274453Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0274815Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0275122Z     x = encode(x)
2025-11-03T16:32:35.0275225Z 
2025-11-03T16:32:35.0275336Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0275705Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0276017Z     x = encode(x)
2025-11-03T16:32:35.0276114Z 
2025-11-03T16:32:35.0276232Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0276592Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0276915Z     x = encode(x)
2025-11-03T16:32:35.0277010Z 
2025-11-03T16:32:35.0277125Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0278134Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0278459Z     x = encode(x)
2025-11-03T16:32:35.0278563Z 
2025-11-03T16:32:35.0278675Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0279045Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0279369Z     x = encode(x)
2025-11-03T16:32:35.0279467Z 
2025-11-03T16:32:35.0279584Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0279947Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0280265Z     x = encode(x)
2025-11-03T16:32:35.0280360Z 
2025-11-03T16:32:35.0280475Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0280838Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0281152Z     x = encode(x)
2025-11-03T16:32:35.0281253Z 
2025-11-03T16:32:35.0281367Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0281734Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0282053Z     x = encode(x)
2025-11-03T16:32:35.0282147Z 
2025-11-03T16:32:35.0282260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0282623Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0282937Z     x = encode(x)
2025-11-03T16:32:35.0283032Z 
2025-11-03T16:32:35.0283149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:35.0283502Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:32:35.0283807Z     x = encode(x)
2025-11-03T16:32:35.0283909Z 
2025-11-03T16:32:37.0742379Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0743022Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0743920Z     x = x + skip
2025-11-03T16:32:37.0744038Z 
2025-11-03T16:32:37.0744172Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0744956Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0745415Z     x = decode(x)
2025-11-03T16:32:37.0745536Z 
2025-11-03T16:32:37.0745666Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0746175Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0746595Z     x = decode(x)
2025-11-03T16:32:37.0746700Z 
2025-11-03T16:32:37.0746819Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0747287Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0747747Z     x = decode(x)
2025-11-03T16:32:37.0747856Z 
2025-11-03T16:32:37.0747981Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0748435Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0748843Z     x = x + skip
2025-11-03T16:32:37.0748954Z 
2025-11-03T16:32:37.0749067Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0749531Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0749932Z     x = decode(x)
2025-11-03T16:32:37.0750034Z 
2025-11-03T16:32:37.0750149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0750603Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0751110Z     x = decode(x)
2025-11-03T16:32:37.0751215Z 
2025-11-03T16:32:37.0751338Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0751910Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0752314Z     x = decode(x)
2025-11-03T16:32:37.0752433Z 
2025-11-03T16:32:37.0752545Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0752997Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0753392Z     x = x + skip
2025-11-03T16:32:37.0753495Z 
2025-11-03T16:32:37.0753606Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0754055Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0754452Z     x = decode(x)
2025-11-03T16:32:37.0754551Z 
2025-11-03T16:32:37.0754670Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0755120Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0755548Z     x = decode(x)
2025-11-03T16:32:37.0755648Z 
2025-11-03T16:32:37.0755760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0756208Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0756601Z     x = decode(x)
2025-11-03T16:32:37.0756700Z 
2025-11-03T16:32:37.0756819Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0757260Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0757666Z     x = x + skip
2025-11-03T16:32:37.0757776Z 
2025-11-03T16:32:37.0757888Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0758392Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0758801Z     x = decode(x)
2025-11-03T16:32:37.0758906Z 
2025-11-03T16:32:37.0759069Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0759520Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0759928Z     x = decode(x)
2025-11-03T16:32:37.0760030Z 
2025-11-03T16:32:37.0760188Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0760640Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0761043Z     x = decode(x)
2025-11-03T16:32:37.0761151Z 
2025-11-03T16:32:37.0761264Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0761722Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0762113Z     x = x + skip
2025-11-03T16:32:37.0762214Z 
2025-11-03T16:32:37.0762323Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0762763Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0763151Z     x = decode(x)
2025-11-03T16:32:37.0763249Z 
2025-11-03T16:32:37.0763372Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0763816Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0764208Z     x = decode(x)
2025-11-03T16:32:37.0764317Z 
2025-11-03T16:32:37.0764431Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0764878Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0765264Z     x = decode(x)
2025-11-03T16:32:37.0765362Z 
2025-11-03T16:32:37.0765481Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0765941Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0766346Z     x = x + skip
2025-11-03T16:32:37.0766450Z 
2025-11-03T16:32:37.0766559Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0766981Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0767352Z     x = decode(x)
2025-11-03T16:32:37.0767455Z 
2025-11-03T16:32:37.0767562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0767984Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0768362Z     x = decode(x)
2025-11-03T16:32:37.0768458Z 
2025-11-03T16:32:37.0768570Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:37.0768985Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:32:37.0769363Z     x = decode(x)
2025-11-03T16:32:37.0769466Z 
2025-11-03T16:32:38.8232344Z Compilation time (from dynamo_timed): 14.264072929
2025-11-03T16:32:38.8244695Z pass
2025-11-03T16:32:38.8245582Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:38.8246521Z TIMING: gc:0.00365 entire_frame_compile:14.26407 _recursive_pre_grad_passes:0.00479 _recursive_joint_graph_passes:0.13976 _recursive_post_grad_passes:0.02213 async_compile.wait:1.83604 code_gen:10.53161 inductor_compile:10.93085 backend_compile:12.08769 total_wall_time:14.26407
2025-11-03T16:32:38.8247529Z STATS: call_* op count: 62 | FakeTensorMode.__torch_dispatch__:2106 | ProxyTorchDispatchMode.__torch_dispatch__:190 | FakeTensor.__torch_dispatch__:383
2025-11-03T16:32:38.8248084Z Dynamo produced 3 graphs covering 62 ops with 3 graph breaks (1 unique)
2025-11-03T16:32:40.5712627Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:32:40.5714509Z   import pynvml  # type: ignore[import]
2025-11-03T16:32:42.8900835Z 
2025-11-03T16:32:43.1034457Z 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
2025-11-03T16:32:43.1221453Z 
2025-11-03T16:32:43.1221509Z 
2025-11-03T16:32:43.1846589Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-11-03T16:32:43.1846963Z 100% 30.8M/30.8M [00:00<00:00, 520MB/s]
2025-11-03T16:32:43.5559735Z 
2025-11-03T16:32:43.5560284Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:32:43.5592355Z cpu  eval  densenet121                        
2025-11-03T16:32:44.0305187Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:44.1959253Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:44.3503014Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:33:21.2049135Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2052805Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2055114Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2055378Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2056555Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2056796Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2057032Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2057267Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2060683Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2061063Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2061315Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2061573Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2062188Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2062462Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2062703Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2062948Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2063196Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2063435Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2063676Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2063922Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2064151Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2064387Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2064626Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2065043Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2065296Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2065540Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2065777Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2066022Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2066271Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2066514Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2066752Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2066989Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2067227Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2067474Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2067702Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2067933Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2068153Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2068381Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2068612Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2068842Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2069064Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2069297Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2069530Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2069880Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2070113Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2070354Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2070590Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2070828Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2071060Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2071302Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2071544Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2071783Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2072019Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2072246Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2072482Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2072718Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2072954Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2073185Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2073424Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2073662Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2073946Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2074386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2074788Z     return mod(*inputs)
2025-11-03T16:33:21.2075210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2075657Z     features = self.features(x)
2025-11-03T16:33:21.2075806Z 
2025-11-03T16:33:21.2075936Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2076364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2076738Z     return mod(*inputs)
2025-11-03T16:33:21.2077171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2077578Z     features = self.features(x)
2025-11-03T16:33:21.2077712Z 
2025-11-03T16:33:21.2077828Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2078231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2078593Z     return mod(*inputs)
2025-11-03T16:33:21.2078965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2079339Z     features = self.features(x)
2025-11-03T16:33:21.2079474Z 
2025-11-03T16:33:21.2079587Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2079985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2080346Z     return mod(*inputs)
2025-11-03T16:33:21.2080720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2081109Z     features = self.features(x)
2025-11-03T16:33:21.2081484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2081883Z     new_features = layer(features)
2025-11-03T16:33:21.2082283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2082716Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2083144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2083652Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2083908Z 
2025-11-03T16:33:21.2084027Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2084422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2084831Z     return mod(*inputs)
2025-11-03T16:33:21.2085197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2085594Z     features = self.features(x)
2025-11-03T16:33:21.2085970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2086680Z     new_features = layer(features)
2025-11-03T16:33:21.2087069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2087750Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2087976Z 
2025-11-03T16:33:21.2088095Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2088503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2088855Z     return mod(*inputs)
2025-11-03T16:33:21.2089211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2089605Z     features = self.features(x)
2025-11-03T16:33:21.2089983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2090360Z     new_features = layer(features)
2025-11-03T16:33:21.2090725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2091178Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2091399Z 
2025-11-03T16:33:21.2091512Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2091908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2092283Z     return mod(*inputs)
2025-11-03T16:33:21.2092753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2093156Z     features = self.features(x)
2025-11-03T16:33:21.2093532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2093915Z     new_features = layer(features)
2025-11-03T16:33:21.2094285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2094702Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2095130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2095547Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2095706Z 
2025-11-03T16:33:21.2095822Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2096227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2096590Z     return mod(*inputs)
2025-11-03T16:33:21.2096965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2097342Z     features = self.features(x)
2025-11-03T16:33:21.2097698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2098085Z     new_features = layer(features)
2025-11-03T16:33:21.2098472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2098905Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2099333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2099838Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2100094Z 
2025-11-03T16:33:21.2100213Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2100661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2101015Z     return mod(*inputs)
2025-11-03T16:33:21.2101377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2101769Z     features = self.features(x)
2025-11-03T16:33:21.2102142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2102535Z     new_features = layer(features)
2025-11-03T16:33:21.2102929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2103358Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2103793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2104310Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2104563Z 
2025-11-03T16:33:21.2104753Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2105172Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2105522Z     return mod(*inputs)
2025-11-03T16:33:21.2105890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2106294Z     features = self.features(x)
2025-11-03T16:33:21.2106676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2107069Z     new_features = layer(features)
2025-11-03T16:33:21.2107458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2108753Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2108986Z 
2025-11-03T16:33:21.2109109Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2109512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2109862Z     return mod(*inputs)
2025-11-03T16:33:21.2110228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2110619Z     features = self.features(x)
2025-11-03T16:33:21.2110988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2111361Z     new_features = layer(features)
2025-11-03T16:33:21.2111744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2112211Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2112415Z 
2025-11-03T16:33:21.2112539Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2128283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2128816Z     return mod(*inputs)
2025-11-03T16:33:21.2129250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2129677Z     features = self.features(x)
2025-11-03T16:33:21.2130092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2130515Z     new_features = layer(features)
2025-11-03T16:33:21.2130925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2131374Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2131843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2132297Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2132612Z 
2025-11-03T16:33:21.2132743Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2133166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2133546Z     return mod(*inputs)
2025-11-03T16:33:21.2133924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2134327Z     features = self.features(x)
2025-11-03T16:33:21.2134715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2135123Z     new_features = layer(features)
2025-11-03T16:33:21.2135517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2135951Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2136402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2136927Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2137190Z 
2025-11-03T16:33:21.2137314Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2137726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2138098Z     return mod(*inputs)
2025-11-03T16:33:21.2138458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2138861Z     features = self.features(x)
2025-11-03T16:33:21.2139251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2139647Z     new_features = layer(features)
2025-11-03T16:33:21.2140103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2140529Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2140966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2141485Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2141738Z 
2025-11-03T16:33:21.2141867Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2142281Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2142646Z     return mod(*inputs)
2025-11-03T16:33:21.2143020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2143422Z     features = self.features(x)
2025-11-03T16:33:21.2143813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2144212Z     new_features = layer(features)
2025-11-03T16:33:21.2144606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2145166Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2145387Z 
2025-11-03T16:33:21.2145514Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2145916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2146270Z     return mod(*inputs)
2025-11-03T16:33:21.2146637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2147030Z     features = self.features(x)
2025-11-03T16:33:21.2147405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2147798Z     new_features = layer(features)
2025-11-03T16:33:21.2148232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2148701Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2148921Z 
2025-11-03T16:33:21.2149052Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2149458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2149807Z     return mod(*inputs)
2025-11-03T16:33:21.2150170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2150559Z     features = self.features(x)
2025-11-03T16:33:21.2150932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2151325Z     new_features = layer(features)
2025-11-03T16:33:21.2151706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2152136Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2152568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2152996Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2153153Z 
2025-11-03T16:33:21.2153274Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2153663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2154039Z     return mod(*inputs)
2025-11-03T16:33:21.2154405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2154806Z     features = self.features(x)
2025-11-03T16:33:21.2155208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2155619Z     new_features = layer(features)
2025-11-03T16:33:21.2156002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2156436Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2156870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2157371Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2157625Z 
2025-11-03T16:33:21.2157739Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2158135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2158491Z     return mod(*inputs)
2025-11-03T16:33:21.2158852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2159261Z     features = self.features(x)
2025-11-03T16:33:21.2159643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2160046Z     new_features = layer(features)
2025-11-03T16:33:21.2160430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2160897Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2161331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2161974Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2162227Z 
2025-11-03T16:33:21.2162354Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2162754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2163108Z     return mod(*inputs)
2025-11-03T16:33:21.2163526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2163908Z     features = self.features(x)
2025-11-03T16:33:21.2164280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2164660Z     new_features = layer(features)
2025-11-03T16:33:21.2165044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2165509Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2165723Z 
2025-11-03T16:33:21.2165847Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2166246Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2166584Z     return mod(*inputs)
2025-11-03T16:33:21.2166942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2167326Z     features = self.features(x)
2025-11-03T16:33:21.2167688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2168068Z     new_features = layer(features)
2025-11-03T16:33:21.2168428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2168874Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2169087Z 
2025-11-03T16:33:21.2169198Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2169584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2169921Z     return mod(*inputs)
2025-11-03T16:33:21.2170313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2170702Z     features = self.features(x)
2025-11-03T16:33:21.2171070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2171453Z     new_features = layer(features)
2025-11-03T16:33:21.2171821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2172233Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2172657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2173066Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2173220Z 
2025-11-03T16:33:21.2173339Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2173715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2174060Z     return mod(*inputs)
2025-11-03T16:33:21.2174419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2174809Z     features = self.features(x)
2025-11-03T16:33:21.2175184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2175568Z     new_features = layer(features)
2025-11-03T16:33:21.2175936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2176348Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2176767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2177257Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2177511Z 
2025-11-03T16:33:21.2177627Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2178085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2178446Z     return mod(*inputs)
2025-11-03T16:33:21.2178798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2179189Z     features = self.features(x)
2025-11-03T16:33:21.2179565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2179960Z     new_features = layer(features)
2025-11-03T16:33:21.2180343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2180763Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2181201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2181708Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2181960Z 
2025-11-03T16:33:21.2182085Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2182484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2182831Z     return mod(*inputs)
2025-11-03T16:33:21.2183191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2183581Z     features = self.features(x)
2025-11-03T16:33:21.2183956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2184341Z     new_features = layer(features)
2025-11-03T16:33:21.2184792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2185265Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2185518Z 
2025-11-03T16:33:21.2185655Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2186055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2186574Z     return mod(*inputs)
2025-11-03T16:33:21.2186942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2187332Z     features = self.features(x)
2025-11-03T16:33:21.2187711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2188101Z     new_features = layer(features)
2025-11-03T16:33:21.2188475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2188941Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2189162Z 
2025-11-03T16:33:21.2189281Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2189682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2190028Z     return mod(*inputs)
2025-11-03T16:33:21.2190392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2190784Z     features = self.features(x)
2025-11-03T16:33:21.2191155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2191540Z     new_features = layer(features)
2025-11-03T16:33:21.2191912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2192332Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2192762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2193187Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2193467Z 
2025-11-03T16:33:21.2193592Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2193983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2194372Z     return mod(*inputs)
2025-11-03T16:33:21.2194735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2195127Z     features = self.features(x)
2025-11-03T16:33:21.2195493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2195894Z     new_features = layer(features)
2025-11-03T16:33:21.2196261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2196680Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2197103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2197593Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2197839Z 
2025-11-03T16:33:21.2197949Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2198335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2198680Z     return mod(*inputs)
2025-11-03T16:33:21.2199023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2199418Z     features = self.features(x)
2025-11-03T16:33:21.2199779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2200172Z     new_features = layer(features)
2025-11-03T16:33:21.2200598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2201014Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2201440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2201940Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2202181Z 
2025-11-03T16:33:21.2202302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2202693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2203033Z     return mod(*inputs)
2025-11-03T16:33:21.2203387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2203768Z     features = self.features(x)
2025-11-03T16:33:21.2204133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2204516Z     new_features = layer(features)
2025-11-03T16:33:21.2204891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2205342Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2205549Z 
2025-11-03T16:33:21.2205668Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2206061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2206402Z     return mod(*inputs)
2025-11-03T16:33:21.2206758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2207134Z     features = self.features(x)
2025-11-03T16:33:21.2207501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2207882Z     new_features = layer(features)
2025-11-03T16:33:21.2208260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2208757Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2208977Z 
2025-11-03T16:33:21.2209072Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2209346Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2209733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2210084Z     return mod(*inputs)
2025-11-03T16:33:21.2210448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2210839Z     features = self.features(x)
2025-11-03T16:33:21.2211213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-11-03T16:33:21.2211597Z     return torch.cat(features, 1)
2025-11-03T16:33:21.2211746Z 
2025-11-03T16:33:21.2211864Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2212262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2212616Z     return mod(*inputs)
2025-11-03T16:33:21.2212974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2213373Z     features = self.features(x)
2025-11-03T16:33:21.2213507Z 
2025-11-03T16:33:21.2213621Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2214017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2214371Z     return mod(*inputs)
2025-11-03T16:33:21.2214724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2215111Z     features = self.features(x)
2025-11-03T16:33:21.2215247Z 
2025-11-03T16:33:21.2215396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2215796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2216146Z     return mod(*inputs)
2025-11-03T16:33:21.2216512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2216902Z     features = self.features(x)
2025-11-03T16:33:21.2217276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2217676Z     new_features = layer(features)
2025-11-03T16:33:21.2218050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2218483Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2218921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2219435Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2219681Z 
2025-11-03T16:33:21.2219802Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2220194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2220547Z     return mod(*inputs)
2025-11-03T16:33:21.2220907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2221305Z     features = self.features(x)
2025-11-03T16:33:21.2221670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2222069Z     new_features = layer(features)
2025-11-03T16:33:21.2222460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2222935Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2223182Z 
2025-11-03T16:33:21.2223304Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2223695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2224066Z     return mod(*inputs)
2025-11-03T16:33:21.2224434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2224916Z     features = self.features(x)
2025-11-03T16:33:21.2225310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2225722Z     new_features = layer(features)
2025-11-03T16:33:21.2226110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2226583Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2226801Z 
2025-11-03T16:33:21.2226928Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2227321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2227693Z     return mod(*inputs)
2025-11-03T16:33:21.2228069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2228466Z     features = self.features(x)
2025-11-03T16:33:21.2228895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2229292Z     new_features = layer(features)
2025-11-03T16:33:21.2229688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2230101Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2230564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2230974Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2231134Z 
2025-11-03T16:33:21.2231251Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2231651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2232011Z     return mod(*inputs)
2025-11-03T16:33:21.2232373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2232753Z     features = self.features(x)
2025-11-03T16:33:21.2233125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2233511Z     new_features = layer(features)
2025-11-03T16:33:21.2233885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2234310Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2234725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2235226Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2235474Z 
2025-11-03T16:33:21.2235587Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2235974Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2236318Z     return mod(*inputs)
2025-11-03T16:33:21.2236650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2237013Z     features = self.features(x)
2025-11-03T16:33:21.2237361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2237748Z     new_features = layer(features)
2025-11-03T16:33:21.2238121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2238573Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2238976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2239449Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2239678Z 
2025-11-03T16:33:21.2239793Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2240151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2240478Z     return mod(*inputs)
2025-11-03T16:33:21.2240818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2241198Z     features = self.features(x)
2025-11-03T16:33:21.2241557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2241955Z     new_features = layer(features)
2025-11-03T16:33:21.2242329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2242801Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2242996Z 
2025-11-03T16:33:21.2243106Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2243465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2243796Z     return mod(*inputs)
2025-11-03T16:33:21.2244128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2244487Z     features = self.features(x)
2025-11-03T16:33:21.2244825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2245223Z     new_features = layer(features)
2025-11-03T16:33:21.2245579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2246010Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2246207Z 
2025-11-03T16:33:21.2246320Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2246689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2247019Z     return mod(*inputs)
2025-11-03T16:33:21.2247358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2247727Z     features = self.features(x)
2025-11-03T16:33:21.2248076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2248438Z     new_features = layer(features)
2025-11-03T16:33:21.2248798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2249219Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2249663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2250083Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2250236Z 
2025-11-03T16:33:21.2250353Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2250735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2251089Z     return mod(*inputs)
2025-11-03T16:33:21.2251445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2251832Z     features = self.features(x)
2025-11-03T16:33:21.2252206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2252621Z     new_features = layer(features)
2025-11-03T16:33:21.2252996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2253407Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2253830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2254317Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2254569Z 
2025-11-03T16:33:21.2254679Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2255068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2255418Z     return mod(*inputs)
2025-11-03T16:33:21.2255771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2256148Z     features = self.features(x)
2025-11-03T16:33:21.2256515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2256904Z     new_features = layer(features)
2025-11-03T16:33:21.2257274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2257693Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2258105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2258596Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2258843Z 
2025-11-03T16:33:21.2258955Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2259375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2259719Z     return mod(*inputs)
2025-11-03T16:33:21.2260067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2260444Z     features = self.features(x)
2025-11-03T16:33:21.2260810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2261231Z     new_features = layer(features)
2025-11-03T16:33:21.2261599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2262054Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2262264Z 
2025-11-03T16:33:21.2262373Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2262760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2263105Z     return mod(*inputs)
2025-11-03T16:33:21.2263446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2263827Z     features = self.features(x)
2025-11-03T16:33:21.2264193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2264580Z     new_features = layer(features)
2025-11-03T16:33:21.2265030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2265488Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2265709Z 
2025-11-03T16:33:21.2265826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2266228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2266581Z     return mod(*inputs)
2025-11-03T16:33:21.2266931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2267362Z     features = self.features(x)
2025-11-03T16:33:21.2267729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2268110Z     new_features = layer(features)
2025-11-03T16:33:21.2268474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2268884Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2269317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2269725Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2269876Z 
2025-11-03T16:33:21.2269993Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2270368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2270719Z     return mod(*inputs)
2025-11-03T16:33:21.2271076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2271458Z     features = self.features(x)
2025-11-03T16:33:21.2271823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2272198Z     new_features = layer(features)
2025-11-03T16:33:21.2272569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2272977Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2273394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2273878Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2274128Z 
2025-11-03T16:33:21.2274274Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2274666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2275013Z     return mod(*inputs)
2025-11-03T16:33:21.2275360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2275741Z     features = self.features(x)
2025-11-03T16:33:21.2276100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2276482Z     new_features = layer(features)
2025-11-03T16:33:21.2276850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2277263Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2277672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2278159Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2278408Z 
2025-11-03T16:33:21.2278520Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2278902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2279240Z     return mod(*inputs)
2025-11-03T16:33:21.2279589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2279970Z     features = self.features(x)
2025-11-03T16:33:21.2280333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2280722Z     new_features = layer(features)
2025-11-03T16:33:21.2281086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2281536Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2281789Z 
2025-11-03T16:33:21.2281904Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2282300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2282656Z     return mod(*inputs)
2025-11-03T16:33:21.2283010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2283395Z     features = self.features(x)
2025-11-03T16:33:21.2283767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2284156Z     new_features = layer(features)
2025-11-03T16:33:21.2284522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2284983Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2285196Z 
2025-11-03T16:33:21.2285315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2285712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2286064Z     return mod(*inputs)
2025-11-03T16:33:21.2286644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2287033Z     features = self.features(x)
2025-11-03T16:33:21.2287402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2287793Z     new_features = layer(features)
2025-11-03T16:33:21.2288138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2288539Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2288959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2289448Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2289596Z 
2025-11-03T16:33:21.2289711Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2290069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2290404Z     return mod(*inputs)
2025-11-03T16:33:21.2290742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2291107Z     features = self.features(x)
2025-11-03T16:33:21.2291459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2291819Z     new_features = layer(features)
2025-11-03T16:33:21.2292177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2292573Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2292977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2293455Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2293707Z 
2025-11-03T16:33:21.2293822Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2294216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2294565Z     return mod(*inputs)
2025-11-03T16:33:21.2294924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2295305Z     features = self.features(x)
2025-11-03T16:33:21.2295656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2296020Z     new_features = layer(features)
2025-11-03T16:33:21.2296375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2296820Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2297207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2297669Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2297901Z 
2025-11-03T16:33:21.2298007Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2298389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2298729Z     return mod(*inputs)
2025-11-03T16:33:21.2299081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2299462Z     features = self.features(x)
2025-11-03T16:33:21.2299830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2300212Z     new_features = layer(features)
2025-11-03T16:33:21.2300574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2301019Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2301232Z 
2025-11-03T16:33:21.2301343Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2301723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2302065Z     return mod(*inputs)
2025-11-03T16:33:21.2302408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2302790Z     features = self.features(x)
2025-11-03T16:33:21.2303150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2303574Z     new_features = layer(features)
2025-11-03T16:33:21.2303940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2304380Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2304592Z 
2025-11-03T16:33:21.2304761Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2305176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2305535Z     return mod(*inputs)
2025-11-03T16:33:21.2305889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2306283Z     features = self.features(x)
2025-11-03T16:33:21.2306663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2307056Z     new_features = layer(features)
2025-11-03T16:33:21.2307424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2307843Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2308273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2308690Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2308842Z 
2025-11-03T16:33:21.2308960Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2309339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2309699Z     return mod(*inputs)
2025-11-03T16:33:21.2310059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2310445Z     features = self.features(x)
2025-11-03T16:33:21.2310810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2311253Z     new_features = layer(features)
2025-11-03T16:33:21.2311624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2312039Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2312468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2312961Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2313209Z 
2025-11-03T16:33:21.2313320Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2313706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2314070Z     return mod(*inputs)
2025-11-03T16:33:21.2314433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2314826Z     features = self.features(x)
2025-11-03T16:33:21.2315206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2315568Z     new_features = layer(features)
2025-11-03T16:33:21.2315925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2316310Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2316737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2317235Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2317481Z 
2025-11-03T16:33:21.2317595Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2317994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2318359Z     return mod(*inputs)
2025-11-03T16:33:21.2318717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2319107Z     features = self.features(x)
2025-11-03T16:33:21.2319478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2319879Z     new_features = layer(features)
2025-11-03T16:33:21.2320243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2320688Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2320886Z 
2025-11-03T16:33:21.2320992Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2321361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2321688Z     return mod(*inputs)
2025-11-03T16:33:21.2322023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2322389Z     features = self.features(x)
2025-11-03T16:33:21.2322738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2323101Z     new_features = layer(features)
2025-11-03T16:33:21.2323447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2323901Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2324119Z 
2025-11-03T16:33:21.2324228Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2324614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2324970Z     return mod(*inputs)
2025-11-03T16:33:21.2325297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2325700Z     features = self.features(x)
2025-11-03T16:33:21.2326049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2326409Z     new_features = layer(features)
2025-11-03T16:33:21.2326755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2327214Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2327614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2327996Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2328138Z 
2025-11-03T16:33:21.2328252Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2328609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2328942Z     return mod(*inputs)
2025-11-03T16:33:21.2329278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2329638Z     features = self.features(x)
2025-11-03T16:33:21.2329975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2330334Z     new_features = layer(features)
2025-11-03T16:33:21.2330688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2331080Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2331480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2331938Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2332179Z 
2025-11-03T16:33:21.2332285Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2332699Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2333050Z     return mod(*inputs)
2025-11-03T16:33:21.2333403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2333778Z     features = self.features(x)
2025-11-03T16:33:21.2334145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2334527Z     new_features = layer(features)
2025-11-03T16:33:21.2334899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2335302Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2335726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2336227Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2336477Z 
2025-11-03T16:33:21.2336589Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2336974Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2337311Z     return mod(*inputs)
2025-11-03T16:33:21.2337661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2338039Z     features = self.features(x)
2025-11-03T16:33:21.2338402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2338782Z     new_features = layer(features)
2025-11-03T16:33:21.2339144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2339588Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2339802Z 
2025-11-03T16:33:21.2339954Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2340344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2340692Z     return mod(*inputs)
2025-11-03T16:33:21.2341045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2341425Z     features = self.features(x)
2025-11-03T16:33:21.2341795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2342175Z     new_features = layer(features)
2025-11-03T16:33:21.2342542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2342986Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2343197Z 
2025-11-03T16:33:21.2343309Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2343702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2344047Z     return mod(*inputs)
2025-11-03T16:33:21.2344393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2344861Z     features = self.features(x)
2025-11-03T16:33:21.2345245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2345638Z     new_features = layer(features)
2025-11-03T16:33:21.2346013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2346448Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2346874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2347339Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2347495Z 
2025-11-03T16:33:21.2347612Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2347996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2348345Z     return mod(*inputs)
2025-11-03T16:33:21.2348697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2349072Z     features = self.features(x)
2025-11-03T16:33:21.2349428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2349805Z     new_features = layer(features)
2025-11-03T16:33:21.2350174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2350588Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2351012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2351502Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2351751Z 
2025-11-03T16:33:21.2351863Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2352252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2352601Z     return mod(*inputs)
2025-11-03T16:33:21.2352952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2353325Z     features = self.features(x)
2025-11-03T16:33:21.2353691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2354073Z     new_features = layer(features)
2025-11-03T16:33:21.2354448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2354908Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2355346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2355861Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2356117Z 
2025-11-03T16:33:21.2356237Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2356637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2356989Z     return mod(*inputs)
2025-11-03T16:33:21.2357357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2357755Z     features = self.features(x)
2025-11-03T16:33:21.2358140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2358541Z     new_features = layer(features)
2025-11-03T16:33:21.2358922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2359392Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2359611Z 
2025-11-03T16:33:21.2359728Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2360129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2360480Z     return mod(*inputs)
2025-11-03T16:33:21.2360853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2361260Z     features = self.features(x)
2025-11-03T16:33:21.2361642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2362057Z     new_features = layer(features)
2025-11-03T16:33:21.2362479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2362952Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2363170Z 
2025-11-03T16:33:21.2363285Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2363682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2364038Z     return mod(*inputs)
2025-11-03T16:33:21.2364396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2364788Z     features = self.features(x)
2025-11-03T16:33:21.2365185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2365600Z     new_features = layer(features)
2025-11-03T16:33:21.2365981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2366410Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2366850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2367294Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2367452Z 
2025-11-03T16:33:21.2367577Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2367972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2368334Z     return mod(*inputs)
2025-11-03T16:33:21.2368700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2369112Z     features = self.features(x)
2025-11-03T16:33:21.2369484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2369883Z     new_features = layer(features)
2025-11-03T16:33:21.2370313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2370722Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2371141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2371622Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2371872Z 
2025-11-03T16:33:21.2371983Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2372366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2372714Z     return mod(*inputs)
2025-11-03T16:33:21.2373061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2373432Z     features = self.features(x)
2025-11-03T16:33:21.2373796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2374172Z     new_features = layer(features)
2025-11-03T16:33:21.2374547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2374950Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2375368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2375855Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2376093Z 
2025-11-03T16:33:21.2376213Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2376592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2376932Z     return mod(*inputs)
2025-11-03T16:33:21.2377328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2377726Z     features = self.features(x)
2025-11-03T16:33:21.2378108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2378505Z     new_features = layer(features)
2025-11-03T16:33:21.2378887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2379369Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2379582Z 
2025-11-03T16:33:21.2379692Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2380084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2380431Z     return mod(*inputs)
2025-11-03T16:33:21.2380807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2381215Z     features = self.features(x)
2025-11-03T16:33:21.2381603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2382013Z     new_features = layer(features)
2025-11-03T16:33:21.2382396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2382876Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2383094Z 
2025-11-03T16:33:21.2383210Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2383611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2383977Z     return mod(*inputs)
2025-11-03T16:33:21.2384344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2384835Z     features = self.features(x)
2025-11-03T16:33:21.2385264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2385671Z     new_features = layer(features)
2025-11-03T16:33:21.2386047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2386672Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2387111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2387544Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2387701Z 
2025-11-03T16:33:21.2387826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2388221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2388583Z     return mod(*inputs)
2025-11-03T16:33:21.2388956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2389363Z     features = self.features(x)
2025-11-03T16:33:21.2389746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2390161Z     new_features = layer(features)
2025-11-03T16:33:21.2390557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2390999Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2391433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2392004Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2392259Z 
2025-11-03T16:33:21.2392377Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2392868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2393247Z     return mod(*inputs)
2025-11-03T16:33:21.2393666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2394061Z     features = self.features(x)
2025-11-03T16:33:21.2394443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2394848Z     new_features = layer(features)
2025-11-03T16:33:21.2395236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2395714Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2396157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2396669Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2396918Z 
2025-11-03T16:33:21.2397042Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2397440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2397806Z     return mod(*inputs)
2025-11-03T16:33:21.2398172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2398563Z     features = self.features(x)
2025-11-03T16:33:21.2398942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2399340Z     new_features = layer(features)
2025-11-03T16:33:21.2399720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2400176Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2400390Z 
2025-11-03T16:33:21.2400508Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2400972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2401329Z     return mod(*inputs)
2025-11-03T16:33:21.2401689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2402078Z     features = self.features(x)
2025-11-03T16:33:21.2402451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2402846Z     new_features = layer(features)
2025-11-03T16:33:21.2403217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2403679Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2403892Z 
2025-11-03T16:33:21.2404009Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2404412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2404766Z     return mod(*inputs)
2025-11-03T16:33:21.2405121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2405513Z     features = self.features(x)
2025-11-03T16:33:21.2405887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2406282Z     new_features = layer(features)
2025-11-03T16:33:21.2406653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2407083Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2407510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2407969Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2408124Z 
2025-11-03T16:33:21.2408246Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2408631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2408991Z     return mod(*inputs)
2025-11-03T16:33:21.2409347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2409737Z     features = self.features(x)
2025-11-03T16:33:21.2410099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2410486Z     new_features = layer(features)
2025-11-03T16:33:21.2410866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2411285Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2411712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2412207Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2412459Z 
2025-11-03T16:33:21.2412574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2412970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2413322Z     return mod(*inputs)
2025-11-03T16:33:21.2413682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2414064Z     features = self.features(x)
2025-11-03T16:33:21.2414437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2414823Z     new_features = layer(features)
2025-11-03T16:33:21.2415203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2415650Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2416075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2416571Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2416814Z 
2025-11-03T16:33:21.2416936Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2417329Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2417674Z     return mod(*inputs)
2025-11-03T16:33:21.2418032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2418414Z     features = self.features(x)
2025-11-03T16:33:21.2418784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2419172Z     new_features = layer(features)
2025-11-03T16:33:21.2419544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2420000Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2420216Z 
2025-11-03T16:33:21.2420332Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2420724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2421069Z     return mod(*inputs)
2025-11-03T16:33:21.2421430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2421814Z     features = self.features(x)
2025-11-03T16:33:21.2422188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2422574Z     new_features = layer(features)
2025-11-03T16:33:21.2422986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2423442Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2423652Z 
2025-11-03T16:33:21.2423763Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2424149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2424497Z     return mod(*inputs)
2025-11-03T16:33:21.2424937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2425334Z     features = self.features(x)
2025-11-03T16:33:21.2425712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2426126Z     new_features = layer(features)
2025-11-03T16:33:21.2426501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2426937Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2427382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2427814Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2427972Z 
2025-11-03T16:33:21.2428097Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2428493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2428857Z     return mod(*inputs)
2025-11-03T16:33:21.2429225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2429629Z     features = self.features(x)
2025-11-03T16:33:21.2430002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2430415Z     new_features = layer(features)
2025-11-03T16:33:21.2430849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2431287Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2431727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2432240Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2432499Z 
2025-11-03T16:33:21.2432616Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2433021Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2433399Z     return mod(*inputs)
2025-11-03T16:33:21.2433764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2434161Z     features = self.features(x)
2025-11-03T16:33:21.2434566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2434971Z     new_features = layer(features)
2025-11-03T16:33:21.2435360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2435816Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2436261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2436732Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2436960Z 
2025-11-03T16:33:21.2437075Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2437447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2437776Z     return mod(*inputs)
2025-11-03T16:33:21.2438159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2438525Z     features = self.features(x)
2025-11-03T16:33:21.2438871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2439230Z     new_features = layer(features)
2025-11-03T16:33:21.2439575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2439995Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2440197Z 
2025-11-03T16:33:21.2440303Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2440667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2440991Z     return mod(*inputs)
2025-11-03T16:33:21.2441328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2441688Z     features = self.features(x)
2025-11-03T16:33:21.2442034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2442396Z     new_features = layer(features)
2025-11-03T16:33:21.2442739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2443161Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2443359Z 
2025-11-03T16:33:21.2443445Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2443672Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2443884Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2444101Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2444313Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2444525Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2444760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2445175Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2445500Z     return mod(*inputs)
2025-11-03T16:33:21.2445841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2446210Z     features = self.features(x)
2025-11-03T16:33:21.2446554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-11-03T16:33:21.2446921Z     return torch.cat(features, 1)
2025-11-03T16:33:21.2447062Z 
2025-11-03T16:33:21.2447172Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2447541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2447866Z     return mod(*inputs)
2025-11-03T16:33:21.2448206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2448571Z     features = self.features(x)
2025-11-03T16:33:21.2448692Z 
2025-11-03T16:33:21.2448807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2449171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2449495Z     return mod(*inputs)
2025-11-03T16:33:21.2449835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2450197Z     features = self.features(x)
2025-11-03T16:33:21.2450316Z 
2025-11-03T16:33:21.2450431Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2450801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2451125Z     return mod(*inputs)
2025-11-03T16:33:21.2451494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2451854Z     features = self.features(x)
2025-11-03T16:33:21.2452198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2452552Z     new_features = layer(features)
2025-11-03T16:33:21.2452944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2453336Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2453735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2454205Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2454434Z 
2025-11-03T16:33:21.2454538Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2454905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2455234Z     return mod(*inputs)
2025-11-03T16:33:21.2455571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2455931Z     features = self.features(x)
2025-11-03T16:33:21.2456304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2456684Z     new_features = layer(features)
2025-11-03T16:33:21.2457066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2457518Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2457718Z 
2025-11-03T16:33:21.2457834Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2458200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2458528Z     return mod(*inputs)
2025-11-03T16:33:21.2458865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2459275Z     features = self.features(x)
2025-11-03T16:33:21.2459615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2459981Z     new_features = layer(features)
2025-11-03T16:33:21.2460334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2460758Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2460954Z 
2025-11-03T16:33:21.2461059Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2461429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2461784Z     return mod(*inputs)
2025-11-03T16:33:21.2462139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2462520Z     features = self.features(x)
2025-11-03T16:33:21.2462878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2462965Z     new_features = layer(features)
2025-11-03T16:33:21.2463199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2463318Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2463564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2463659Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2463663Z 
2025-11-03T16:33:21.2463782Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2463993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2464112Z     return mod(*inputs)
2025-11-03T16:33:21.2464352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2464429Z     features = self.features(x)
2025-11-03T16:33:21.2464754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2464843Z     new_features = layer(features)
2025-11-03T16:33:21.2465088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2465200Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2465455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2465640Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2465644Z 
2025-11-03T16:33:21.2465758Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2465982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2466053Z     return mod(*inputs)
2025-11-03T16:33:21.2466297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2466375Z     features = self.features(x)
2025-11-03T16:33:21.2466611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2466696Z     new_features = layer(features)
2025-11-03T16:33:21.2466930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2467046Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2467296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2467489Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2467535Z 
2025-11-03T16:33:21.2467647Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2467858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2467937Z     return mod(*inputs)
2025-11-03T16:33:21.2468172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2468257Z     features = self.features(x)
2025-11-03T16:33:21.2468490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2468566Z     new_features = layer(features)
2025-11-03T16:33:21.2468805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2468951Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2468958Z 
2025-11-03T16:33:21.2469520Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2469730Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2469809Z     return mod(*inputs)
2025-11-03T16:33:21.2470043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2470119Z     features = self.features(x)
2025-11-03T16:33:21.2470363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2470439Z     new_features = layer(features)
2025-11-03T16:33:21.2470682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2470824Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2470827Z 
2025-11-03T16:33:21.2470978Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2471200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2471271Z     return mod(*inputs)
2025-11-03T16:33:21.2471515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2471590Z     features = self.features(x)
2025-11-03T16:33:21.2471833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2471910Z     new_features = layer(features)
2025-11-03T16:33:21.2472142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2472259Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2472506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2472611Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2472618Z 
2025-11-03T16:33:21.2472728Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2472938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2473016Z     return mod(*inputs)
2025-11-03T16:33:21.2473260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2473345Z     features = self.features(x)
2025-11-03T16:33:21.2473588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2473665Z     new_features = layer(features)
2025-11-03T16:33:21.2473911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2474022Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2474280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2474496Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2474500Z 
2025-11-03T16:33:21.2474616Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2474825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2474895Z     return mod(*inputs)
2025-11-03T16:33:21.2475136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2475211Z     features = self.features(x)
2025-11-03T16:33:21.2475456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2475533Z     new_features = layer(features)
2025-11-03T16:33:21.2475775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2475896Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2476140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2476325Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2476329Z 
2025-11-03T16:33:21.2476437Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2476654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2476726Z     return mod(*inputs)
2025-11-03T16:33:21.2476966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2477051Z     features = self.features(x)
2025-11-03T16:33:21.2477330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2477418Z     new_features = layer(features)
2025-11-03T16:33:21.2477662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2477807Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2477811Z 
2025-11-03T16:33:21.2477929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2478137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2478214Z     return mod(*inputs)
2025-11-03T16:33:21.2478457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2478532Z     features = self.features(x)
2025-11-03T16:33:21.2478782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2478862Z     new_features = layer(features)
2025-11-03T16:33:21.2479103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2479246Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2479250Z 
2025-11-03T16:33:21.2479365Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2479573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2479643Z     return mod(*inputs)
2025-11-03T16:33:21.2479886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2479960Z     features = self.features(x)
2025-11-03T16:33:21.2480208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2480284Z     new_features = layer(features)
2025-11-03T16:33:21.2480527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2480684Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2480927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2481027Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2481031Z 
2025-11-03T16:33:21.2481139Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2481352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2481423Z     return mod(*inputs)
2025-11-03T16:33:21.2481665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2481747Z     features = self.features(x)
2025-11-03T16:33:21.2481983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2482069Z     new_features = layer(features)
2025-11-03T16:33:21.2482310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2482420Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2482672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2482850Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2482853Z 
2025-11-03T16:33:21.2482968Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2483175Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2483246Z     return mod(*inputs)
2025-11-03T16:33:21.2483496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2483618Z     features = self.features(x)
2025-11-03T16:33:21.2483866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2483941Z     new_features = layer(features)
2025-11-03T16:33:21.2484179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2484290Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2484536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2484724Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2484727Z 
2025-11-03T16:33:21.2484838Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2485053Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2485126Z     return mod(*inputs)
2025-11-03T16:33:21.2485365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2485448Z     features = self.features(x)
2025-11-03T16:33:21.2485682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2485766Z     new_features = layer(features)
2025-11-03T16:33:21.2486000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2486310Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2486317Z 
2025-11-03T16:33:21.2486436Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2486649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2486730Z     return mod(*inputs)
2025-11-03T16:33:21.2486972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2487135Z     features = self.features(x)
2025-11-03T16:33:21.2487374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2487453Z     new_features = layer(features)
2025-11-03T16:33:21.2487696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2487839Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2487843Z 
2025-11-03T16:33:21.2487959Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2488165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2488235Z     return mod(*inputs)
2025-11-03T16:33:21.2488482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2488561Z     features = self.features(x)
2025-11-03T16:33:21.2488805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2488882Z     new_features = layer(features)
2025-11-03T16:33:21.2489124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2489235Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2489482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2489585Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2489588Z 
2025-11-03T16:33:21.2489698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2489916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2489988Z     return mod(*inputs)
2025-11-03T16:33:21.2490278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2490361Z     features = self.features(x)
2025-11-03T16:33:21.2490583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2490664Z     new_features = layer(features)
2025-11-03T16:33:21.2490887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2490992Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2491237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2491411Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2491415Z 
2025-11-03T16:33:21.2491529Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2491734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2491816Z     return mod(*inputs)
2025-11-03T16:33:21.2492046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2492120Z     features = self.features(x)
2025-11-03T16:33:21.2492356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2492434Z     new_features = layer(features)
2025-11-03T16:33:21.2492674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2492784Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2493034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2493228Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2493272Z 
2025-11-03T16:33:21.2493382Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2493593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2493662Z     return mod(*inputs)
2025-11-03T16:33:21.2493915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2493988Z     features = self.features(x)
2025-11-03T16:33:21.2494215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2494299Z     new_features = layer(features)
2025-11-03T16:33:21.2494542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2494686Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2494692Z 
2025-11-03T16:33:21.2494802Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2495003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2495078Z     return mod(*inputs)
2025-11-03T16:33:21.2495324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2495406Z     features = self.features(x)
2025-11-03T16:33:21.2495651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2495726Z     new_features = layer(features)
2025-11-03T16:33:21.2495975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2496114Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2496117Z 
2025-11-03T16:33:21.2496268Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2496480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2496556Z     return mod(*inputs)
2025-11-03T16:33:21.2496788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2496864Z     features = self.features(x)
2025-11-03T16:33:21.2497114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2497189Z     new_features = layer(features)
2025-11-03T16:33:21.2497433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2497541Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2497783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2497883Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2497890Z 
2025-11-03T16:33:21.2497997Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2498209Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2498278Z     return mod(*inputs)
2025-11-03T16:33:21.2498524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2498597Z     features = self.features(x)
2025-11-03T16:33:21.2498836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2498920Z     new_features = layer(features)
2025-11-03T16:33:21.2499158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2499275Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2499520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2499744Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2499748Z 
2025-11-03T16:33:21.2499864Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2500073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2500153Z     return mod(*inputs)
2025-11-03T16:33:21.2500395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2500469Z     features = self.features(x)
2025-11-03T16:33:21.2500718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2500794Z     new_features = layer(features)
2025-11-03T16:33:21.2501040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2501155Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2501407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2501584Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2501588Z 
2025-11-03T16:33:21.2501697Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2501912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2501983Z     return mod(*inputs)
2025-11-03T16:33:21.2502230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2502304Z     features = self.features(x)
2025-11-03T16:33:21.2502544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2502672Z     new_features = layer(features)
2025-11-03T16:33:21.2502905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2503056Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2503060Z 
2025-11-03T16:33:21.2503170Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2503385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2503456Z     return mod(*inputs)
2025-11-03T16:33:21.2503700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2503781Z     features = self.features(x)
2025-11-03T16:33:21.2504016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2504100Z     new_features = layer(features)
2025-11-03T16:33:21.2504333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2504477Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2504481Z 
2025-11-03T16:33:21.2504598Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2504873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2504960Z     return mod(*inputs)
2025-11-03T16:33:21.2505209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2505285Z     features = self.features(x)
2025-11-03T16:33:21.2505532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2505610Z     new_features = layer(features)
2025-11-03T16:33:21.2505858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2506018Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2506280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2506376Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2506380Z 
2025-11-03T16:33:21.2506499Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2506709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2506778Z     return mod(*inputs)
2025-11-03T16:33:21.2507011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2507081Z     features = self.features(x)
2025-11-03T16:33:21.2507303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2507386Z     new_features = layer(features)
2025-11-03T16:33:21.2507616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2507739Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2507994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2508186Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2508190Z 
2025-11-03T16:33:21.2508303Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2508520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2508599Z     return mod(*inputs)
2025-11-03T16:33:21.2508841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2508975Z     features = self.features(x)
2025-11-03T16:33:21.2509225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2509304Z     new_features = layer(features)
2025-11-03T16:33:21.2509554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2509668Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2509929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2510111Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2510115Z 
2025-11-03T16:33:21.2510234Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2510449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2510521Z     return mod(*inputs)
2025-11-03T16:33:21.2510775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2510854Z     features = self.features(x)
2025-11-03T16:33:21.2511101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2511178Z     new_features = layer(features)
2025-11-03T16:33:21.2511416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2511572Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2511576Z 
2025-11-03T16:33:21.2511686Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2511907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2511979Z     return mod(*inputs)
2025-11-03T16:33:21.2512222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2512350Z     features = self.features(x)
2025-11-03T16:33:21.2512591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2512674Z     new_features = layer(features)
2025-11-03T16:33:21.2512927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2513066Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2513070Z 
2025-11-03T16:33:21.2513173Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2513370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2513443Z     return mod(*inputs)
2025-11-03T16:33:21.2513665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2513743Z     features = self.features(x)
2025-11-03T16:33:21.2513967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2514039Z     new_features = layer(features)
2025-11-03T16:33:21.2514266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2514369Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2514607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2514694Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2514697Z 
2025-11-03T16:33:21.2514808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2515005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2515070Z     return mod(*inputs)
2025-11-03T16:33:21.2515335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2515411Z     features = self.features(x)
2025-11-03T16:33:21.2515653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2515730Z     new_features = layer(features)
2025-11-03T16:33:21.2515972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2516093Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2516337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2516523Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2516526Z 
2025-11-03T16:33:21.2516636Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2516849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2516930Z     return mod(*inputs)
2025-11-03T16:33:21.2517165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2517247Z     features = self.features(x)
2025-11-03T16:33:21.2517480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2517564Z     new_features = layer(features)
2025-11-03T16:33:21.2517796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2517907Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2518160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2518331Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2518374Z 
2025-11-03T16:33:21.2518488Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2518681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2518749Z     return mod(*inputs)
2025-11-03T16:33:21.2518978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2519048Z     features = self.features(x)
2025-11-03T16:33:21.2519278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2519350Z     new_features = layer(features)
2025-11-03T16:33:21.2519570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2519712Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2519716Z 
2025-11-03T16:33:21.2519821Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2520024Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2520090Z     return mod(*inputs)
2025-11-03T16:33:21.2520316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2520385Z     features = self.features(x)
2025-11-03T16:33:21.2520602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2520682Z     new_features = layer(features)
2025-11-03T16:33:21.2520900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2521044Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2521047Z 
2025-11-03T16:33:21.2521156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2521398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2521480Z     return mod(*inputs)
2025-11-03T16:33:21.2521719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2521801Z     features = self.features(x)
2025-11-03T16:33:21.2522035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2522121Z     new_features = layer(features)
2025-11-03T16:33:21.2522360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2522469Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2522727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2522818Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2522827Z 
2025-11-03T16:33:21.2522942Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2523151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2523219Z     return mod(*inputs)
2025-11-03T16:33:21.2523464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2523539Z     features = self.features(x)
2025-11-03T16:33:21.2523781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2523857Z     new_features = layer(features)
2025-11-03T16:33:21.2524097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2524214Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2524461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2524688Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2524693Z 
2025-11-03T16:33:21.2524803Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2525015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2525086Z     return mod(*inputs)
2025-11-03T16:33:21.2525320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2525400Z     features = self.features(x)
2025-11-03T16:33:21.2525633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2525715Z     new_features = layer(features)
2025-11-03T16:33:21.2525945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2526059Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2526314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2526493Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2526496Z 
2025-11-03T16:33:21.2526612Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2526823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2526899Z     return mod(*inputs)
2025-11-03T16:33:21.2527132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2527206Z     features = self.features(x)
2025-11-03T16:33:21.2527453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2527560Z     new_features = layer(features)
2025-11-03T16:33:21.2527790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2527924Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2527927Z 
2025-11-03T16:33:21.2528031Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2528234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2528300Z     return mod(*inputs)
2025-11-03T16:33:21.2528524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2528597Z     features = self.features(x)
2025-11-03T16:33:21.2528815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2528894Z     new_features = layer(features)
2025-11-03T16:33:21.2529121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2529272Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2529276Z 
2025-11-03T16:33:21.2529384Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2529596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2529666Z     return mod(*inputs)
2025-11-03T16:33:21.2529898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2529981Z     features = self.features(x)
2025-11-03T16:33:21.2530212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2530295Z     new_features = layer(features)
2025-11-03T16:33:21.2530532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2530698Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2530956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2531048Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2531052Z 
2025-11-03T16:33:21.2531169Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2531382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2531461Z     return mod(*inputs)
2025-11-03T16:33:21.2531703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2531776Z     features = self.features(x)
2025-11-03T16:33:21.2532024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2532104Z     new_features = layer(features)
2025-11-03T16:33:21.2532352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2532463Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2532713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2532901Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2532905Z 
2025-11-03T16:33:21.2533015Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2533235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2533306Z     return mod(*inputs)
2025-11-03T16:33:21.2533547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2533631Z     features = self.features(x)
2025-11-03T16:33:21.2533911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2533998Z     new_features = layer(features)
2025-11-03T16:33:21.2534232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2534348Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2534590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2534765Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2534768Z 
2025-11-03T16:33:21.2534888Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2535095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2535173Z     return mod(*inputs)
2025-11-03T16:33:21.2535410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2535488Z     features = self.features(x)
2025-11-03T16:33:21.2535729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2535805Z     new_features = layer(features)
2025-11-03T16:33:21.2536046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2536188Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2536191Z 
2025-11-03T16:33:21.2536308Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2536514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2536584Z     return mod(*inputs)
2025-11-03T16:33:21.2536827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2536939Z     features = self.features(x)
2025-11-03T16:33:21.2537179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2537256Z     new_features = layer(features)
2025-11-03T16:33:21.2537495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2537646Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2537650Z 
2025-11-03T16:33:21.2537758Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2537975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2538044Z     return mod(*inputs)
2025-11-03T16:33:21.2538279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2538366Z     features = self.features(x)
2025-11-03T16:33:21.2538599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2538683Z     new_features = layer(features)
2025-11-03T16:33:21.2538910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2539025Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2539268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2539359Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2539363Z 
2025-11-03T16:33:21.2539481Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2539688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2539765Z     return mod(*inputs)
2025-11-03T16:33:21.2540040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2540121Z     features = self.features(x)
2025-11-03T16:33:21.2540360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2540435Z     new_features = layer(features)
2025-11-03T16:33:21.2540675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2540784Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2541026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2541210Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2541214Z 
2025-11-03T16:33:21.2541323Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2541539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2541612Z     return mod(*inputs)
2025-11-03T16:33:21.2541852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2541927Z     features = self.features(x)
2025-11-03T16:33:21.2542157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2542241Z     new_features = layer(features)
2025-11-03T16:33:21.2542481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2542595Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2542837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2543013Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2543029Z 
2025-11-03T16:33:21.2543180Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2543387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2543467Z     return mod(*inputs)
2025-11-03T16:33:21.2543702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2543785Z     features = self.features(x)
2025-11-03T16:33:21.2544017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2544094Z     new_features = layer(features)
2025-11-03T16:33:21.2544334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2544477Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2544480Z 
2025-11-03T16:33:21.2544600Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2545063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2545142Z     return mod(*inputs)
2025-11-03T16:33:21.2545395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2545473Z     features = self.features(x)
2025-11-03T16:33:21.2545722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2545802Z     new_features = layer(features)
2025-11-03T16:33:21.2546050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2546199Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2546203Z 
2025-11-03T16:33:21.2546330Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2546591Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2546667Z     return mod(*inputs)
2025-11-03T16:33:21.2546911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2546987Z     features = self.features(x)
2025-11-03T16:33:21.2547219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2547305Z     new_features = layer(features)
2025-11-03T16:33:21.2547537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2547654Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2547899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2547991Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2548003Z 
2025-11-03T16:33:21.2548117Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2548327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2548406Z     return mod(*inputs)
2025-11-03T16:33:21.2548642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2548722Z     features = self.features(x)
2025-11-03T16:33:21.2548956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2549032Z     new_features = layer(features)
2025-11-03T16:33:21.2549272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2549383Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2549642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2549862Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2549866Z 
2025-11-03T16:33:21.2549975Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2550190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2550260Z     return mod(*inputs)
2025-11-03T16:33:21.2550498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2550574Z     features = self.features(x)
2025-11-03T16:33:21.2550816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2550892Z     new_features = layer(features)
2025-11-03T16:33:21.2551124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2551246Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2551495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2551679Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2551683Z 
2025-11-03T16:33:21.2551793Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2552001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2552080Z     return mod(*inputs)
2025-11-03T16:33:21.2552318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2552401Z     features = self.features(x)
2025-11-03T16:33:21.2552637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2552713Z     new_features = layer(features)
2025-11-03T16:33:21.2552992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2553140Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2553144Z 
2025-11-03T16:33:21.2553260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2553468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2553546Z     return mod(*inputs)
2025-11-03T16:33:21.2553780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2553855Z     features = self.features(x)
2025-11-03T16:33:21.2554099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2554175Z     new_features = layer(features)
2025-11-03T16:33:21.2554415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2554560Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2554564Z 
2025-11-03T16:33:21.2554673Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2554889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2554958Z     return mod(*inputs)
2025-11-03T16:33:21.2555197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2555271Z     features = self.features(x)
2025-11-03T16:33:21.2555510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2555584Z     new_features = layer(features)
2025-11-03T16:33:21.2555815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2555992Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2556238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2556337Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2556341Z 
2025-11-03T16:33:21.2556449Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2556657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2556732Z     return mod(*inputs)
2025-11-03T16:33:21.2556976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2557057Z     features = self.features(x)
2025-11-03T16:33:21.2557300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2557376Z     new_features = layer(features)
2025-11-03T16:33:21.2557628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2557742Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2557995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2558174Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2558177Z 
2025-11-03T16:33:21.2558294Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2558504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2558574Z     return mod(*inputs)
2025-11-03T16:33:21.2558819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2558897Z     features = self.features(x)
2025-11-03T16:33:21.2559186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2559269Z     new_features = layer(features)
2025-11-03T16:33:21.2559509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2559629Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2559868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2560054Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2560057Z 
2025-11-03T16:33:21.2560167Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2560385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2560456Z     return mod(*inputs)
2025-11-03T16:33:21.2560703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2560790Z     features = self.features(x)
2025-11-03T16:33:21.2561033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2561117Z     new_features = layer(features)
2025-11-03T16:33:21.2561357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2561498Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2561501Z 
2025-11-03T16:33:21.2561618Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2561826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2561904Z     return mod(*inputs)
2025-11-03T16:33:21.2562148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2562227Z     features = self.features(x)
2025-11-03T16:33:21.2562501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2562586Z     new_features = layer(features)
2025-11-03T16:33:21.2562810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2562942Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2562946Z 
2025-11-03T16:33:21.2563056Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2563251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2563316Z     return mod(*inputs)
2025-11-03T16:33:21.2563540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2563612Z     features = self.features(x)
2025-11-03T16:33:21.2563840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2563914Z     new_features = layer(features)
2025-11-03T16:33:21.2564132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2564245Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2564472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2564566Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2564570Z 
2025-11-03T16:33:21.2564671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2564871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2564937Z     return mod(*inputs)
2025-11-03T16:33:21.2565894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2565985Z     features = self.features(x)
2025-11-03T16:33:21.2566210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2566291Z     new_features = layer(features)
2025-11-03T16:33:21.2566512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2566620Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2566873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2567050Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2567057Z 
2025-11-03T16:33:21.2567176Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2567392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2567468Z     return mod(*inputs)
2025-11-03T16:33:21.2567712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2567788Z     features = self.features(x)
2025-11-03T16:33:21.2568028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2568104Z     new_features = layer(features)
2025-11-03T16:33:21.2568343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2568453Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2568696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2568879Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2568883Z 
2025-11-03T16:33:21.2568996Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2569261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2569329Z     return mod(*inputs)
2025-11-03T16:33:21.2569553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2569632Z     features = self.features(x)
2025-11-03T16:33:21.2569853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2569935Z     new_features = layer(features)
2025-11-03T16:33:21.2570155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2570299Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2570303Z 
2025-11-03T16:33:21.2570407Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2570619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2570700Z     return mod(*inputs)
2025-11-03T16:33:21.2570934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2571015Z     features = self.features(x)
2025-11-03T16:33:21.2571250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2571326Z     new_features = layer(features)
2025-11-03T16:33:21.2571567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2571709Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2571713Z 
2025-11-03T16:33:21.2571829Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2572077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2572152Z     return mod(*inputs)
2025-11-03T16:33:21.2572403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2572475Z     features = self.features(x)
2025-11-03T16:33:21.2572702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2572773Z     new_features = layer(features)
2025-11-03T16:33:21.2573001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2573111Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2573357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2573457Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2573461Z 
2025-11-03T16:33:21.2573572Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2573793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2573863Z     return mod(*inputs)
2025-11-03T16:33:21.2574095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2574179Z     features = self.features(x)
2025-11-03T16:33:21.2574411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2574493Z     new_features = layer(features)
2025-11-03T16:33:21.2574724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2574836Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2575086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2575305Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2575309Z 
2025-11-03T16:33:21.2575427Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2575635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2575714Z     return mod(*inputs)
2025-11-03T16:33:21.2575947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2576022Z     features = self.features(x)
2025-11-03T16:33:21.2576262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2576338Z     new_features = layer(features)
2025-11-03T16:33:21.2576576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2576689Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2576937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2577121Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2577124Z 
2025-11-03T16:33:21.2577235Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2577452Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2577522Z     return mod(*inputs)
2025-11-03T16:33:21.2577773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2577848Z     features = self.features(x)
2025-11-03T16:33:21.2578090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2578174Z     new_features = layer(features)
2025-11-03T16:33:21.2578463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2578624Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2578628Z 
2025-11-03T16:33:21.2578739Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2578952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2579032Z     return mod(*inputs)
2025-11-03T16:33:21.2579281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2579365Z     features = self.features(x)
2025-11-03T16:33:21.2579614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2579692Z     new_features = layer(features)
2025-11-03T16:33:21.2579950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2580099Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2580103Z 
2025-11-03T16:33:21.2580223Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2580439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2580519Z     return mod(*inputs)
2025-11-03T16:33:21.2580774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2580849Z     features = self.features(x)
2025-11-03T16:33:21.2581103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2581181Z     new_features = layer(features)
2025-11-03T16:33:21.2581431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2581543Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2581828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2581929Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2581933Z 
2025-11-03T16:33:21.2582042Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2582257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2582326Z     return mod(*inputs)
2025-11-03T16:33:21.2582577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2582652Z     features = self.features(x)
2025-11-03T16:33:21.2582893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2582976Z     new_features = layer(features)
2025-11-03T16:33:21.2583220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2583341Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2583584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2583763Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2583766Z 
2025-11-03T16:33:21.2583883Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2584090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2584166Z     return mod(*inputs)
2025-11-03T16:33:21.2584407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2584482Z     features = self.features(x)
2025-11-03T16:33:21.2584880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2584971Z     new_features = layer(features)
2025-11-03T16:33:21.2585225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2585340Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2585607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2585790Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2585794Z 
2025-11-03T16:33:21.2585917Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2586362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2586442Z     return mod(*inputs)
2025-11-03T16:33:21.2586698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2586778Z     features = self.features(x)
2025-11-03T16:33:21.2587021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2587104Z     new_features = layer(features)
2025-11-03T16:33:21.2587344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2587494Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2587498Z 
2025-11-03T16:33:21.2587607Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2587824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2587895Z     return mod(*inputs)
2025-11-03T16:33:21.2588128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2588214Z     features = self.features(x)
2025-11-03T16:33:21.2588528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2588613Z     new_features = layer(features)
2025-11-03T16:33:21.2588852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2588994Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2588997Z 
2025-11-03T16:33:21.2589117Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2589329Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2589408Z     return mod(*inputs)
2025-11-03T16:33:21.2589649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2589724Z     features = self.features(x)
2025-11-03T16:33:21.2589974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2590055Z     new_features = layer(features)
2025-11-03T16:33:21.2590302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2590414Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2590673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2590766Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2590769Z 
2025-11-03T16:33:21.2590879Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2591100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2591172Z     return mod(*inputs)
2025-11-03T16:33:21.2591472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2591555Z     features = self.features(x)
2025-11-03T16:33:21.2591793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2591878Z     new_features = layer(features)
2025-11-03T16:33:21.2592113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2592232Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2592479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2592666Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2592670Z 
2025-11-03T16:33:21.2592779Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2592995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2593078Z     return mod(*inputs)
2025-11-03T16:33:21.2593320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2593404Z     features = self.features(x)
2025-11-03T16:33:21.2593643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2593719Z     new_features = layer(features)
2025-11-03T16:33:21.2593964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2594071Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2594329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2594510Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2594513Z 
2025-11-03T16:33:21.2594638Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2594884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2594954Z     return mod(*inputs)
2025-11-03T16:33:21.2595197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2595272Z     features = self.features(x)
2025-11-03T16:33:21.2595510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2595581Z     new_features = layer(features)
2025-11-03T16:33:21.2595801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2595944Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2595947Z 
2025-11-03T16:33:21.2596051Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2596258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2596329Z     return mod(*inputs)
2025-11-03T16:33:21.2596557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2596640Z     features = self.features(x)
2025-11-03T16:33:21.2596877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2596960Z     new_features = layer(features)
2025-11-03T16:33:21.2597198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2597338Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2597341Z 
2025-11-03T16:33:21.2597444Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2597670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2597752Z     return mod(*inputs)
2025-11-03T16:33:21.2597976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2598055Z     features = self.features(x)
2025-11-03T16:33:21.2598280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2598356Z     new_features = layer(features)
2025-11-03T16:33:21.2598604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2598714Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2598969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2599062Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2599065Z 
2025-11-03T16:33:21.2599181Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2599395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2599465Z     return mod(*inputs)
2025-11-03T16:33:21.2599709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2599783Z     features = self.features(x)
2025-11-03T16:33:21.2600034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2600110Z     new_features = layer(features)
2025-11-03T16:33:21.2600351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2600469Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2600777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2600956Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2601001Z 
2025-11-03T16:33:21.2601105Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2601302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2601374Z     return mod(*inputs)
2025-11-03T16:33:21.2601597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2601676Z     features = self.features(x)
2025-11-03T16:33:21.2601899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2601981Z     new_features = layer(features)
2025-11-03T16:33:21.2602223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2602332Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2602603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2602770Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2602773Z 
2025-11-03T16:33:21.2602884Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2603081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2603147Z     return mod(*inputs)
2025-11-03T16:33:21.2603378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2603447Z     features = self.features(x)
2025-11-03T16:33:21.2603675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2603748Z     new_features = layer(features)
2025-11-03T16:33:21.2604028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2604181Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2604184Z 
2025-11-03T16:33:21.2604294Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2604510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2604582Z     return mod(*inputs)
2025-11-03T16:33:21.2604827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2604903Z     features = self.features(x)
2025-11-03T16:33:21.2605144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2605230Z     new_features = layer(features)
2025-11-03T16:33:21.2605471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2605625Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2605629Z 
2025-11-03T16:33:21.2605738Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2605948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2606025Z     return mod(*inputs)
2025-11-03T16:33:21.2606269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2606351Z     features = self.features(x)
2025-11-03T16:33:21.2606591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2606675Z     new_features = layer(features)
2025-11-03T16:33:21.2606916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2607029Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2607323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2607416Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2607420Z 
2025-11-03T16:33:21.2607538Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2607748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2607818Z     return mod(*inputs)
2025-11-03T16:33:21.2608069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2608144Z     features = self.features(x)
2025-11-03T16:33:21.2608388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2608463Z     new_features = layer(features)
2025-11-03T16:33:21.2608698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2608821Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2609064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2609248Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2609252Z 
2025-11-03T16:33:21.2609361Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2609577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2609648Z     return mod(*inputs)
2025-11-03T16:33:21.2609882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2609965Z     features = self.features(x)
2025-11-03T16:33:21.2610234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2610323Z     new_features = layer(features)
2025-11-03T16:33:21.2610556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2610667Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2610919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2611094Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2611098Z 
2025-11-03T16:33:21.2611216Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2611425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2611504Z     return mod(*inputs)
2025-11-03T16:33:21.2611739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2611820Z     features = self.features(x)
2025-11-03T16:33:21.2612061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2612138Z     new_features = layer(features)
2025-11-03T16:33:21.2612376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2612517Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2612520Z 
2025-11-03T16:33:21.2612627Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2612844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2612914Z     return mod(*inputs)
2025-11-03T16:33:21.2613155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2613230Z     features = self.features(x)
2025-11-03T16:33:21.2613468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2613586Z     new_features = layer(features)
2025-11-03T16:33:21.2613815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2613964Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2613967Z 
2025-11-03T16:33:21.2614074Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2614287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2614357Z     return mod(*inputs)
2025-11-03T16:33:21.2614588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2614670Z     features = self.features(x)
2025-11-03T16:33:21.2614904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2614992Z     new_features = layer(features)
2025-11-03T16:33:21.2615230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2615343Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2615600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2615695Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2615699Z 
2025-11-03T16:33:21.2615816Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2616032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2616110Z     return mod(*inputs)
2025-11-03T16:33:21.2616360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2616465Z     features = self.features(x)
2025-11-03T16:33:21.2616709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2616786Z     new_features = layer(features)
2025-11-03T16:33:21.2617022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2617133Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2617379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2617565Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2617568Z 
2025-11-03T16:33:21.2617678Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2617894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2617966Z     return mod(*inputs)
2025-11-03T16:33:21.2618208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2618292Z     features = self.features(x)
2025-11-03T16:33:21.2618532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2618616Z     new_features = layer(features)
2025-11-03T16:33:21.2618858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2618978Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2619231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2619415Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2619418Z 
2025-11-03T16:33:21.2619542Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2619791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2619869Z     return mod(*inputs)
2025-11-03T16:33:21.2620113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2620190Z     features = self.features(x)
2025-11-03T16:33:21.2620440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2620520Z     new_features = layer(features)
2025-11-03T16:33:21.2620765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2620909Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2620913Z 
2025-11-03T16:33:21.2621033Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2621250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2621325Z     return mod(*inputs)
2025-11-03T16:33:21.2621575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2621651Z     features = self.features(x)
2025-11-03T16:33:21.2621900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2621978Z     new_features = layer(features)
2025-11-03T16:33:21.2622216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2622370Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2622374Z 
2025-11-03T16:33:21.2622485Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2622706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2622812Z     return mod(*inputs)
2025-11-03T16:33:21.2623060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2623146Z     features = self.features(x)
2025-11-03T16:33:21.2623387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2623472Z     new_features = layer(features)
2025-11-03T16:33:21.2623712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2623833Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2624087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2624179Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2624183Z 
2025-11-03T16:33:21.2624304Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2624521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2624605Z     return mod(*inputs)
2025-11-03T16:33:21.2624919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2625003Z     features = self.features(x)
2025-11-03T16:33:21.2625255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2625336Z     new_features = layer(features)
2025-11-03T16:33:21.2625584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2625699Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2625952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2626147Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2626203Z 
2025-11-03T16:33:21.2626318Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2626548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2626619Z     return mod(*inputs)
2025-11-03T16:33:21.2626863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2626941Z     features = self.features(x)
2025-11-03T16:33:21.2627174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2627260Z     new_features = layer(features)
2025-11-03T16:33:21.2627489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2627606Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2627863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2628043Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2628054Z 
2025-11-03T16:33:21.2628164Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2628377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2628456Z     return mod(*inputs)
2025-11-03T16:33:21.2628696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2628778Z     features = self.features(x)
2025-11-03T16:33:21.2629017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2629092Z     new_features = layer(features)
2025-11-03T16:33:21.2629367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2629515Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2629519Z 
2025-11-03T16:33:21.2629635Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2629841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2629911Z     return mod(*inputs)
2025-11-03T16:33:21.2630150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2630224Z     features = self.features(x)
2025-11-03T16:33:21.2630461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2630535Z     new_features = layer(features)
2025-11-03T16:33:21.2630772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2630915Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2630922Z 
2025-11-03T16:33:21.2631029Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2631243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2631312Z     return mod(*inputs)
2025-11-03T16:33:21.2631552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2631626Z     features = self.features(x)
2025-11-03T16:33:21.2631857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2631941Z     new_features = layer(features)
2025-11-03T16:33:21.2632171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2632285Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2632531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2632662Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2632673Z 
2025-11-03T16:33:21.2632785Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2632995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2633072Z     return mod(*inputs)
2025-11-03T16:33:21.2633308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2633388Z     features = self.features(x)
2025-11-03T16:33:21.2633622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2633699Z     new_features = layer(features)
2025-11-03T16:33:21.2633945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2634057Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2634310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2634491Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2634494Z 
2025-11-03T16:33:21.2634605Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2634824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2634893Z     return mod(*inputs)
2025-11-03T16:33:21.2635141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2635218Z     features = self.features(x)
2025-11-03T16:33:21.2635459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2635575Z     new_features = layer(features)
2025-11-03T16:33:21.2635810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2635929Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2636176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2636363Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2636366Z 
2025-11-03T16:33:21.2636475Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2636685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2636765Z     return mod(*inputs)
2025-11-03T16:33:21.2636997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2637083Z     features = self.features(x)
2025-11-03T16:33:21.2637319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2637397Z     new_features = layer(features)
2025-11-03T16:33:21.2637636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2637780Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2637783Z 
2025-11-03T16:33:21.2637898Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2638105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2638183Z     return mod(*inputs)
2025-11-03T16:33:21.2638425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2638499Z     features = self.features(x)
2025-11-03T16:33:21.2638740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2638856Z     new_features = layer(features)
2025-11-03T16:33:21.2639100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2639244Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2639247Z 
2025-11-03T16:33:21.2639357Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2639572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2639642Z     return mod(*inputs)
2025-11-03T16:33:21.2639893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2639971Z     features = self.features(x)
2025-11-03T16:33:21.2640227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2640307Z     new_features = layer(features)
2025-11-03T16:33:21.2640556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2640675Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2640924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2641024Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2641028Z 
2025-11-03T16:33:21.2641136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2641346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2641426Z     return mod(*inputs)
2025-11-03T16:33:21.2641676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2641796Z     features = self.features(x)
2025-11-03T16:33:21.2642035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2642112Z     new_features = layer(features)
2025-11-03T16:33:21.2642361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2642470Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2642722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2642899Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2642903Z 
2025-11-03T16:33:21.2643018Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2643228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2643298Z     return mod(*inputs)
2025-11-03T16:33:21.2643541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2643620Z     features = self.features(x)
2025-11-03T16:33:21.2643869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2643945Z     new_features = layer(features)
2025-11-03T16:33:21.2644186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2644303Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2644545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2644727Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2644730Z 
2025-11-03T16:33:21.2644840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2645055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2645173Z     return mod(*inputs)
2025-11-03T16:33:21.2645420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2645503Z     features = self.features(x)
2025-11-03T16:33:21.2645749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2645834Z     new_features = layer(features)
2025-11-03T16:33:21.2646078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2646219Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2646222Z 
2025-11-03T16:33:21.2646338Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2646551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2646630Z     return mod(*inputs)
2025-11-03T16:33:21.2646874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2646949Z     features = self.features(x)
2025-11-03T16:33:21.2647201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2647276Z     new_features = layer(features)
2025-11-03T16:33:21.2647522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2647664Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2647668Z 
2025-11-03T16:33:21.2647783Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2647994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2648097Z     return mod(*inputs)
2025-11-03T16:33:21.2648345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2648422Z     features = self.features(x)
2025-11-03T16:33:21.2648670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2648746Z     new_features = layer(features)
2025-11-03T16:33:21.2648987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2649108Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2649352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2649451Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2649454Z 
2025-11-03T16:33:21.2649564Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2649783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2649857Z     return mod(*inputs)
2025-11-03T16:33:21.2650090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2650173Z     features = self.features(x)
2025-11-03T16:33:21.2650405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2650489Z     new_features = layer(features)
2025-11-03T16:33:21.2650719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2650831Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2651083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2651264Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2651313Z 
2025-11-03T16:33:21.2651434Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2651645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2651718Z     return mod(*inputs)
2025-11-03T16:33:21.2651962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2652042Z     features = self.features(x)
2025-11-03T16:33:21.2652284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2652363Z     new_features = layer(features)
2025-11-03T16:33:21.2652604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2652717Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2652964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2653154Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2653158Z 
2025-11-03T16:33:21.2653270Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2653485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2653558Z     return mod(*inputs)
2025-11-03T16:33:21.2653796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2653882Z     features = self.features(x)
2025-11-03T16:33:21.2654119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2654206Z     new_features = layer(features)
2025-11-03T16:33:21.2654482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2654636Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2654640Z 
2025-11-03T16:33:21.2654749Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2654956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2655034Z     return mod(*inputs)
2025-11-03T16:33:21.2655269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2655350Z     features = self.features(x)
2025-11-03T16:33:21.2655582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2655658Z     new_features = layer(features)
2025-11-03T16:33:21.2655895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2656039Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2656045Z 
2025-11-03T16:33:21.2656144Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2656235Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2656320Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2656410Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2656493Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2656582Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2656693Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2656902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2656981Z     return mod(*inputs)
2025-11-03T16:33:21.2657216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2657298Z     features = self.features(x)
2025-11-03T16:33:21.2657536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-11-03T16:33:21.2657657Z     return torch.cat(features, 1)
2025-11-03T16:33:21.2657668Z 
2025-11-03T16:33:21.2657779Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2657987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2658065Z     return mod(*inputs)
2025-11-03T16:33:21.2658302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2658383Z     features = self.features(x)
2025-11-03T16:33:21.2658387Z 
2025-11-03T16:33:21.2658495Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2658705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2658780Z     return mod(*inputs)
2025-11-03T16:33:21.2659017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2659103Z     features = self.features(x)
2025-11-03T16:33:21.2659106Z 
2025-11-03T16:33:21.2659220Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2659427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2659505Z     return mod(*inputs)
2025-11-03T16:33:21.2659747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2659827Z     features = self.features(x)
2025-11-03T16:33:21.2660067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2660142Z     new_features = layer(features)
2025-11-03T16:33:21.2660390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2660533Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2660789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2660966Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2660970Z 
2025-11-03T16:33:21.2661086Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2661295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2661366Z     return mod(*inputs)
2025-11-03T16:33:21.2661615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2661690Z     features = self.features(x)
2025-11-03T16:33:21.2661936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2662015Z     new_features = layer(features)
2025-11-03T16:33:21.2662257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2662407Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2662411Z 
2025-11-03T16:33:21.2662520Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2662736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2662806Z     return mod(*inputs)
2025-11-03T16:33:21.2663054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2663130Z     features = self.features(x)
2025-11-03T16:33:21.2663372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2663456Z     new_features = layer(features)
2025-11-03T16:33:21.2663688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2663876Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2663880Z 
2025-11-03T16:33:21.2663990Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2664196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2664277Z     return mod(*inputs)
2025-11-03T16:33:21.2664527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2664611Z     features = self.features(x)
2025-11-03T16:33:21.2664931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2665015Z     new_features = layer(features)
2025-11-03T16:33:21.2665274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2665395Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2665659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2665756Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2665760Z 
2025-11-03T16:33:21.2665882Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2666105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2666176Z     return mod(*inputs)
2025-11-03T16:33:21.2666421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2666497Z     features = self.features(x)
2025-11-03T16:33:21.2666754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2666834Z     new_features = layer(features)
2025-11-03T16:33:21.2667121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2667249Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2667507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2667701Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2667704Z 
2025-11-03T16:33:21.2667817Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2668040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2668113Z     return mod(*inputs)
2025-11-03T16:33:21.2668360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2668445Z     features = self.features(x)
2025-11-03T16:33:21.2668687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2668774Z     new_features = layer(features)
2025-11-03T16:33:21.2669024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2669136Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2669396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2669577Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2669581Z 
2025-11-03T16:33:21.2669701Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2669912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2669994Z     return mod(*inputs)
2025-11-03T16:33:21.2670245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2670356Z     features = self.features(x)
2025-11-03T16:33:21.2670605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2670687Z     new_features = layer(features)
2025-11-03T16:33:21.2670931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2671079Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2671083Z 
2025-11-03T16:33:21.2671193Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2671414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2671488Z     return mod(*inputs)
2025-11-03T16:33:21.2671738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2671819Z     features = self.features(x)
2025-11-03T16:33:21.2672064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2672151Z     new_features = layer(features)
2025-11-03T16:33:21.2672392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2672544Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2672548Z 
2025-11-03T16:33:21.2672659Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2672882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2672955Z     return mod(*inputs)
2025-11-03T16:33:21.2673195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2673277Z     features = self.features(x)
2025-11-03T16:33:21.2673559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2673650Z     new_features = layer(features)
2025-11-03T16:33:21.2673893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2674006Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2674268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2674363Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2674367Z 
2025-11-03T16:33:21.2674485Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2674703Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2674775Z     return mod(*inputs)
2025-11-03T16:33:21.2675025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2675107Z     features = self.features(x)
2025-11-03T16:33:21.2675356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2675434Z     new_features = layer(features)
2025-11-03T16:33:21.2675678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2675791Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2676043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2676234Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2676238Z 
2025-11-03T16:33:21.2676351Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2676570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2676646Z     return mod(*inputs)
2025-11-03T16:33:21.2676924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2677009Z     features = self.features(x)
2025-11-03T16:33:21.2677250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2677334Z     new_features = layer(features)
2025-11-03T16:33:21.2677576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2677696Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2677949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2678132Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2678135Z 
2025-11-03T16:33:21.2678260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2678480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2678561Z     return mod(*inputs)
2025-11-03T16:33:21.2678814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2678889Z     features = self.features(x)
2025-11-03T16:33:21.2679131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2679208Z     new_features = layer(features)
2025-11-03T16:33:21.2679448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2679590Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2679594Z 
2025-11-03T16:33:21.2679710Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2679949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2680024Z     return mod(*inputs)
2025-11-03T16:33:21.2680271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2680347Z     features = self.features(x)
2025-11-03T16:33:21.2680597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2680673Z     new_features = layer(features)
2025-11-03T16:33:21.2680911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2681062Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2681065Z 
2025-11-03T16:33:21.2681174Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2681392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2681468Z     return mod(*inputs)
2025-11-03T16:33:21.2681710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2681792Z     features = self.features(x)
2025-11-03T16:33:21.2682038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2682123Z     new_features = layer(features)
2025-11-03T16:33:21.2682369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2682491Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2682769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2682862Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2682866Z 
2025-11-03T16:33:21.2682984Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2683229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2683306Z     return mod(*inputs)
2025-11-03T16:33:21.2683549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2683623Z     features = self.features(x)
2025-11-03T16:33:21.2683872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2683948Z     new_features = layer(features)
2025-11-03T16:33:21.2684194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2684303Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2684548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2684741Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2684747Z 
2025-11-03T16:33:21.2684859Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2685081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2685153Z     return mod(*inputs)
2025-11-03T16:33:21.2685413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2685490Z     features = self.features(x)
2025-11-03T16:33:21.2685739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2685824Z     new_features = layer(features)
2025-11-03T16:33:21.2686072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2686411Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2686758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2686941Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2686952Z 
2025-11-03T16:33:21.2687061Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2687272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2687350Z     return mod(*inputs)
2025-11-03T16:33:21.2687584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2687668Z     features = self.features(x)
2025-11-03T16:33:21.2687902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2687980Z     new_features = layer(features)
2025-11-03T16:33:21.2688224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2688370Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2688374Z 
2025-11-03T16:33:21.2688492Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2688701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2688770Z     return mod(*inputs)
2025-11-03T16:33:21.2689015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2689091Z     features = self.features(x)
2025-11-03T16:33:21.2689337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2689412Z     new_features = layer(features)
2025-11-03T16:33:21.2689652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2689858Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2689862Z 
2025-11-03T16:33:21.2689970Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2690183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2690253Z     return mod(*inputs)
2025-11-03T16:33:21.2690491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2690566Z     features = self.features(x)
2025-11-03T16:33:21.2690795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2690876Z     new_features = layer(features)
2025-11-03T16:33:21.2691102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2691220Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2691463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2691554Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2691557Z 
2025-11-03T16:33:21.2691675Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2691881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2691957Z     return mod(*inputs)
2025-11-03T16:33:21.2692189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2692263Z     features = self.features(x)
2025-11-03T16:33:21.2692501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2692577Z     new_features = layer(features)
2025-11-03T16:33:21.2692860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2692975Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2693226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2693402Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2693406Z 
2025-11-03T16:33:21.2693513Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2693733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2693806Z     return mod(*inputs)
2025-11-03T16:33:21.2694054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2694131Z     features = self.features(x)
2025-11-03T16:33:21.2694371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2694460Z     new_features = layer(features)
2025-11-03T16:33:21.2694698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2694818Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2695069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2695256Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2695260Z 
2025-11-03T16:33:21.2695373Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2695587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2695670Z     return mod(*inputs)
2025-11-03T16:33:21.2695910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2695997Z     features = self.features(x)
2025-11-03T16:33:21.2696277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2696357Z     new_features = layer(features)
2025-11-03T16:33:21.2696608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2696755Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2696759Z 
2025-11-03T16:33:21.2696880Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2697099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2697178Z     return mod(*inputs)
2025-11-03T16:33:21.2697420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2697497Z     features = self.features(x)
2025-11-03T16:33:21.2697749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2697835Z     new_features = layer(features)
2025-11-03T16:33:21.2698086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2698231Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2698235Z 
2025-11-03T16:33:21.2698345Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2698568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2698640Z     return mod(*inputs)
2025-11-03T16:33:21.2698889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2698966Z     features = self.features(x)
2025-11-03T16:33:21.2699258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2699347Z     new_features = layer(features)
2025-11-03T16:33:21.2699585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2699707Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2699957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2700058Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2700062Z 
2025-11-03T16:33:21.2700174Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2700388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2700469Z     return mod(*inputs)
2025-11-03T16:33:21.2700709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2700797Z     features = self.features(x)
2025-11-03T16:33:21.2701039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2701116Z     new_features = layer(features)
2025-11-03T16:33:21.2701363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2701478Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2701737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2701919Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2701922Z 
2025-11-03T16:33:21.2702041Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2702254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2702327Z     return mod(*inputs)
2025-11-03T16:33:21.2702624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2702702Z     features = self.features(x)
2025-11-03T16:33:21.2702952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2703030Z     new_features = layer(features)
2025-11-03T16:33:21.2703270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2703391Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2703644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2703835Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2703839Z 
2025-11-03T16:33:21.2703950Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2704175Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2704247Z     return mod(*inputs)
2025-11-03T16:33:21.2704488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2704571Z     features = self.features(x)
2025-11-03T16:33:21.2704881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2704970Z     new_features = layer(features)
2025-11-03T16:33:21.2705209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2705355Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2705359Z 
2025-11-03T16:33:21.2705479Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2705728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2705813Z     return mod(*inputs)
2025-11-03T16:33:21.2706056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2706133Z     features = self.features(x)
2025-11-03T16:33:21.2706381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2706460Z     new_features = layer(features)
2025-11-03T16:33:21.2706707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2706852Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2706856Z 
2025-11-03T16:33:21.2706975Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2707189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2707265Z     return mod(*inputs)
2025-11-03T16:33:21.2707519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2707595Z     features = self.features(x)
2025-11-03T16:33:21.2707841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2707922Z     new_features = layer(features)
2025-11-03T16:33:21.2708163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2708284Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2708537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2708640Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2708644Z 
2025-11-03T16:33:21.2708756Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2708975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2709101Z     return mod(*inputs)
2025-11-03T16:33:21.2709341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2709427Z     features = self.features(x)
2025-11-03T16:33:21.2709666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2709751Z     new_features = layer(features)
2025-11-03T16:33:21.2709990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2710103Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2710359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2710546Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2710553Z 
2025-11-03T16:33:21.2710674Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2710889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2710963Z     return mod(*inputs)
2025-11-03T16:33:21.2711212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2711302Z     features = self.features(x)
2025-11-03T16:33:21.2711539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2711615Z     new_features = layer(features)
2025-11-03T16:33:21.2711846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2711964Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2712244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2712435Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2712439Z 
2025-11-03T16:33:21.2712548Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2712765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2712836Z     return mod(*inputs)
2025-11-03T16:33:21.2713067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2713153Z     features = self.features(x)
2025-11-03T16:33:21.2713384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2713467Z     new_features = layer(features)
2025-11-03T16:33:21.2713697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2713842Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2713854Z 
2025-11-03T16:33:21.2713962Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2714170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2714248Z     return mod(*inputs)
2025-11-03T16:33:21.2714483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2714565Z     features = self.features(x)
2025-11-03T16:33:21.2714795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2714871Z     new_features = layer(features)
2025-11-03T16:33:21.2715113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2715263Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2715303Z 
2025-11-03T16:33:21.2715424Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2715641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2715714Z     return mod(*inputs)
2025-11-03T16:33:21.2715965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2716043Z     features = self.features(x)
2025-11-03T16:33:21.2716302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2716378Z     new_features = layer(features)
2025-11-03T16:33:21.2716610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2716726Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2716972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2717078Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2717081Z 
2025-11-03T16:33:21.2717191Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2717407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2717477Z     return mod(*inputs)
2025-11-03T16:33:21.2717710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2717794Z     features = self.features(x)
2025-11-03T16:33:21.2718026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2718110Z     new_features = layer(features)
2025-11-03T16:33:21.2718376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2718492Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2718749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2718929Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2718933Z 
2025-11-03T16:33:21.2719050Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2719258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2719336Z     return mod(*inputs)
2025-11-03T16:33:21.2719572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2719649Z     features = self.features(x)
2025-11-03T16:33:21.2719891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2719972Z     new_features = layer(features)
2025-11-03T16:33:21.2720214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2720323Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2720570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2720757Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2720761Z 
2025-11-03T16:33:21.2720870Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2721085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2721155Z     return mod(*inputs)
2025-11-03T16:33:21.2721397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2721474Z     features = self.features(x)
2025-11-03T16:33:21.2721778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2721863Z     new_features = layer(features)
2025-11-03T16:33:21.2722105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2722255Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2722259Z 
2025-11-03T16:33:21.2722368Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2722573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2722652Z     return mod(*inputs)
2025-11-03T16:33:21.2722898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2722982Z     features = self.features(x)
2025-11-03T16:33:21.2723225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2723303Z     new_features = layer(features)
2025-11-03T16:33:21.2723553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2723696Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2723700Z 
2025-11-03T16:33:21.2723818Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2724030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2724107Z     return mod(*inputs)
2025-11-03T16:33:21.2724352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2724427Z     features = self.features(x)
2025-11-03T16:33:21.2724706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2724787Z     new_features = layer(features)
2025-11-03T16:33:21.2725037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2725148Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2725394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2725495Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2725498Z 
2025-11-03T16:33:21.2725608Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2725824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2725896Z     return mod(*inputs)
2025-11-03T16:33:21.2726128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2726211Z     features = self.features(x)
2025-11-03T16:33:21.2726447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2726533Z     new_features = layer(features)
2025-11-03T16:33:21.2726774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2726891Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2727135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2727312Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2727316Z 
2025-11-03T16:33:21.2727434Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2727639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2727719Z     return mod(*inputs)
2025-11-03T16:33:21.2727964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2728074Z     features = self.features(x)
2025-11-03T16:33:21.2728325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2728401Z     new_features = layer(features)
2025-11-03T16:33:21.2728642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2728751Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2729001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2729176Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2729180Z 
2025-11-03T16:33:21.2729290Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2729508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2729581Z     return mod(*inputs)
2025-11-03T16:33:21.2729828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2729904Z     features = self.features(x)
2025-11-03T16:33:21.2730144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2730229Z     new_features = layer(features)
2025-11-03T16:33:21.2730465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2730613Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2730616Z 
2025-11-03T16:33:21.2730725Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2730972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2731050Z     return mod(*inputs)
2025-11-03T16:33:21.2731294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2731378Z     features = self.features(x)
2025-11-03T16:33:21.2731619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2731704Z     new_features = layer(features)
2025-11-03T16:33:21.2731938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2732079Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2732082Z 
2025-11-03T16:33:21.2732200Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2732405Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2732485Z     return mod(*inputs)
2025-11-03T16:33:21.2732725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2732801Z     features = self.features(x)
2025-11-03T16:33:21.2733040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2733116Z     new_features = layer(features)
2025-11-03T16:33:21.2733354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2733462Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2733714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2733807Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2733810Z 
2025-11-03T16:33:21.2733919Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2734135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2734240Z     return mod(*inputs)
2025-11-03T16:33:21.2734482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2734557Z     features = self.features(x)
2025-11-03T16:33:21.2734789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2734874Z     new_features = layer(features)
2025-11-03T16:33:21.2735105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2735220Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2735461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2735639Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2735652Z 
2025-11-03T16:33:21.2735760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2735967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2736045Z     return mod(*inputs)
2025-11-03T16:33:21.2736276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2736359Z     features = self.features(x)
2025-11-03T16:33:21.2736589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2736664Z     new_features = layer(features)
2025-11-03T16:33:21.2736901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2737009Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2737290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2737474Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2737478Z 
2025-11-03T16:33:21.2737588Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2737803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2737875Z     return mod(*inputs)
2025-11-03T16:33:21.2738114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2738189Z     features = self.features(x)
2025-11-03T16:33:21.2738426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2738503Z     new_features = layer(features)
2025-11-03T16:33:21.2738737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2738892Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2738896Z 
2025-11-03T16:33:21.2739007Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2739221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2739291Z     return mod(*inputs)
2025-11-03T16:33:21.2739521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2739605Z     features = self.features(x)
2025-11-03T16:33:21.2739836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2739920Z     new_features = layer(features)
2025-11-03T16:33:21.2740150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2740295Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2740343Z 
2025-11-03T16:33:21.2740455Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2740660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2740737Z     return mod(*inputs)
2025-11-03T16:33:21.2740971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2741054Z     features = self.features(x)
2025-11-03T16:33:21.2741286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2741363Z     new_features = layer(features)
2025-11-03T16:33:21.2741603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2741714Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2741967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2742061Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2742065Z 
2025-11-03T16:33:21.2742175Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2742385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2742456Z     return mod(*inputs)
2025-11-03T16:33:21.2742698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2742774Z     features = self.features(x)
2025-11-03T16:33:21.2743069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2743145Z     new_features = layer(features)
2025-11-03T16:33:21.2743385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2743530Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2743781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2743967Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2743970Z 
2025-11-03T16:33:21.2744080Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2744288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2744366Z     return mod(*inputs)
2025-11-03T16:33:21.2744616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2744768Z     features = self.features(x)
2025-11-03T16:33:21.2745029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2745112Z     new_features = layer(features)
2025-11-03T16:33:21.2745366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2745481Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2745747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2745925Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2745928Z 
2025-11-03T16:33:21.2746046Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2746254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2746327Z     return mod(*inputs)
2025-11-03T16:33:21.2746586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2746661Z     features = self.features(x)
2025-11-03T16:33:21.2746913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2747044Z     new_features = layer(features)
2025-11-03T16:33:21.2747285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2747434Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2747438Z 
2025-11-03T16:33:21.2747547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2747760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2747830Z     return mod(*inputs)
2025-11-03T16:33:21.2748080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2748158Z     features = self.features(x)
2025-11-03T16:33:21.2748394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2748480Z     new_features = layer(features)
2025-11-03T16:33:21.2748723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2748872Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2748875Z 
2025-11-03T16:33:21.2748984Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2749188Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2749265Z     return mod(*inputs)
2025-11-03T16:33:21.2749509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2749588Z     features = self.features(x)
2025-11-03T16:33:21.2749874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2749984Z     new_features = layer(features)
2025-11-03T16:33:21.2750230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2750340Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2750598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2750692Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2750695Z 
2025-11-03T16:33:21.2750808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2751018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2751089Z     return mod(*inputs)
2025-11-03T16:33:21.2751329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2751403Z     features = self.features(x)
2025-11-03T16:33:21.2751655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2751735Z     new_features = layer(features)
2025-11-03T16:33:21.2751973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2752092Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2752344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2752529Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2752532Z 
2025-11-03T16:33:21.2752641Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2752854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2752925Z     return mod(*inputs)
2025-11-03T16:33:21.2753161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2753286Z     features = self.features(x)
2025-11-03T16:33:21.2753520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2753606Z     new_features = layer(features)
2025-11-03T16:33:21.2753836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2753945Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2754194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2754371Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2754375Z 
2025-11-03T16:33:21.2754492Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2754704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2754785Z     return mod(*inputs)
2025-11-03T16:33:21.2755018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2755095Z     features = self.features(x)
2025-11-03T16:33:21.2755334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2755411Z     new_features = layer(features)
2025-11-03T16:33:21.2755649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2755791Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2755795Z 
2025-11-03T16:33:21.2755903Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2756121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2756223Z     return mod(*inputs)
2025-11-03T16:33:21.2756471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2756547Z     features = self.features(x)
2025-11-03T16:33:21.2756776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2756862Z     new_features = layer(features)
2025-11-03T16:33:21.2757093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2757244Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2757248Z 
2025-11-03T16:33:21.2757356Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2757575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2757645Z     return mod(*inputs)
2025-11-03T16:33:21.2757879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2757962Z     features = self.features(x)
2025-11-03T16:33:21.2758192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2758274Z     new_features = layer(features)
2025-11-03T16:33:21.2758504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2758613Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2758865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2758958Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2758962Z 
2025-11-03T16:33:21.2759076Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2759288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2759395Z     return mod(*inputs)
2025-11-03T16:33:21.2759638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2759711Z     features = self.features(x)
2025-11-03T16:33:21.2759950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2760028Z     new_features = layer(features)
2025-11-03T16:33:21.2760265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2760374Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2760615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2760799Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2760806Z 
2025-11-03T16:33:21.2760917Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2761133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2761203Z     return mod(*inputs)
2025-11-03T16:33:21.2761435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2761516Z     features = self.features(x)
2025-11-03T16:33:21.2761748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2761830Z     new_features = layer(features)
2025-11-03T16:33:21.2762058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2762173Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2762447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2762629Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2762634Z 
2025-11-03T16:33:21.2762749Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2762956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2763030Z     return mod(*inputs)
2025-11-03T16:33:21.2763265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2763337Z     features = self.features(x)
2025-11-03T16:33:21.2763577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2763653Z     new_features = layer(features)
2025-11-03T16:33:21.2763889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2764034Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2764040Z 
2025-11-03T16:33:21.2764155Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2764363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2764432Z     return mod(*inputs)
2025-11-03T16:33:21.2764671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2764746Z     features = self.features(x)
2025-11-03T16:33:21.2764985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2765060Z     new_features = layer(features)
2025-11-03T16:33:21.2765291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2765442Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2765476Z 
2025-11-03T16:33:21.2765586Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2765803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2765874Z     return mod(*inputs)
2025-11-03T16:33:21.2766107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2766187Z     features = self.features(x)
2025-11-03T16:33:21.2766419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2766501Z     new_features = layer(features)
2025-11-03T16:33:21.2766730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2766846Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2767092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2767186Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2767190Z 
2025-11-03T16:33:21.2767306Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2767514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2767590Z     return mod(*inputs)
2025-11-03T16:33:21.2767821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2767896Z     features = self.features(x)
2025-11-03T16:33:21.2768136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2768211Z     new_features = layer(features)
2025-11-03T16:33:21.2768447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2768598Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2768847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2769033Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2769036Z 
2025-11-03T16:33:21.2769147Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2769363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2769434Z     return mod(*inputs)
2025-11-03T16:33:21.2769676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2769751Z     features = self.features(x)
2025-11-03T16:33:21.2769981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2770064Z     new_features = layer(features)
2025-11-03T16:33:21.2770298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2770417Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2770660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2770836Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2770848Z 
2025-11-03T16:33:21.2770957Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2771163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2771240Z     return mod(*inputs)
2025-11-03T16:33:21.2771474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2771555Z     features = self.features(x)
2025-11-03T16:33:21.2771789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2771906Z     new_features = layer(features)
2025-11-03T16:33:21.2772149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2772291Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2772295Z 
2025-11-03T16:33:21.2772410Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2772621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2772690Z     return mod(*inputs)
2025-11-03T16:33:21.2772938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2773012Z     features = self.features(x)
2025-11-03T16:33:21.2773258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2773336Z     new_features = layer(features)
2025-11-03T16:33:21.2773574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2773723Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2773726Z 
2025-11-03T16:33:21.2773835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2774053Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2774122Z     return mod(*inputs)
2025-11-03T16:33:21.2774368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2774444Z     features = self.features(x)
2025-11-03T16:33:21.2774680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2774801Z     new_features = layer(features)
2025-11-03T16:33:21.2775043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2775165Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2775414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2775508Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2775512Z 
2025-11-03T16:33:21.2775631Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2775844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2775925Z     return mod(*inputs)
2025-11-03T16:33:21.2776163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2776241Z     features = self.features(x)
2025-11-03T16:33:21.2776489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2776569Z     new_features = layer(features)
2025-11-03T16:33:21.2776814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2776926Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2777187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2777370Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2777373Z 
2025-11-03T16:33:21.2777484Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2777707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2777779Z     return mod(*inputs)
2025-11-03T16:33:21.2778028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2778143Z     features = self.features(x)
2025-11-03T16:33:21.2778383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2778468Z     new_features = layer(features)
2025-11-03T16:33:21.2778702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2778823Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2779072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2779259Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2779263Z 
2025-11-03T16:33:21.2779374Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2779590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2779673Z     return mod(*inputs)
2025-11-03T16:33:21.2779914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2779998Z     features = self.features(x)
2025-11-03T16:33:21.2780240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2780318Z     new_features = layer(features)
2025-11-03T16:33:21.2780564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2780710Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2780714Z 
2025-11-03T16:33:21.2780831Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2781043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2781153Z     return mod(*inputs)
2025-11-03T16:33:21.2781398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2781475Z     features = self.features(x)
2025-11-03T16:33:21.2781720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2781798Z     new_features = layer(features)
2025-11-03T16:33:21.2782044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2782194Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2782198Z 
2025-11-03T16:33:21.2782309Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2782530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2782602Z     return mod(*inputs)
2025-11-03T16:33:21.2782851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2782932Z     features = self.features(x)
2025-11-03T16:33:21.2783169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2783257Z     new_features = layer(features)
2025-11-03T16:33:21.2783496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2783617Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2783867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:33:21.2783970Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:33:21.2783973Z 
2025-11-03T16:33:21.2784086Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2784302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2784418Z     return mod(*inputs)
2025-11-03T16:33:21.2784747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2784845Z     features = self.features(x)
2025-11-03T16:33:21.2785106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2785185Z     new_features = layer(features)
2025-11-03T16:33:21.2785454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2785568Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2785845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2786028Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2786033Z 
2025-11-03T16:33:21.2786321Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2786568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2786642Z     return mod(*inputs)
2025-11-03T16:33:21.2786909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2786988Z     features = self.features(x)
2025-11-03T16:33:21.2787256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2787336Z     new_features = layer(features)
2025-11-03T16:33:21.2787586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:33:21.2787708Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:33:21.2788054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:33:21.2788251Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:33:21.2788256Z 
2025-11-03T16:33:21.2788370Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2788582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2788663Z     return mod(*inputs)
2025-11-03T16:33:21.2788925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2789009Z     features = self.features(x)
2025-11-03T16:33:21.2789268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2789353Z     new_features = layer(features)
2025-11-03T16:33:21.2789610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2789757Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2789764Z 
2025-11-03T16:33:21.2789885Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2790096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2790177Z     return mod(*inputs)
2025-11-03T16:33:21.2790438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2790516Z     features = self.features(x)
2025-11-03T16:33:21.2790786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:33:21.2790864Z     new_features = layer(features)
2025-11-03T16:33:21.2791124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:33:21.2791268Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:33:21.2791275Z 
2025-11-03T16:33:21.2791428Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2791518Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2791605Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2791696Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2791779Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2791863Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2791955Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2792066Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2792285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2792356Z     return mod(*inputs)
2025-11-03T16:33:21.2792619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:33:21.2792703Z     features = self.features(x)
2025-11-03T16:33:21.2792966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-11-03T16:33:21.2793057Z     return torch.cat(features, 1)
2025-11-03T16:33:21.2793061Z 
2025-11-03T16:33:21.2793156Z cudagraph partition due to non gpu ops
2025-11-03T16:33:21.2793271Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2793477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2793546Z     return mod(*inputs)
2025-11-03T16:33:21.2793783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 215, in forward
2025-11-03T16:33:21.2793874Z     out = F.adaptive_avg_pool2d(out, (1, 1))
2025-11-03T16:33:21.2793878Z 
2025-11-03T16:33:21.2793991Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.2794195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:33:21.2794263Z     return mod(*inputs)
2025-11-03T16:33:21.2794545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 217, in forward
2025-11-03T16:33:21.2794634Z     out = self.classifier(out)
2025-11-03T16:33:21.2794638Z 
2025-11-03T16:33:41.3440077Z Compilation time (from dynamo_timed): 56.392904643
2025-11-03T16:33:41.3442426Z pass
2025-11-03T16:33:41.3442847Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:33:41.3443745Z TIMING: _recursive_pre_grad_passes:0.01468 _recursive_joint_graph_passes:0.27833 _recursive_post_grad_passes:0.90603 async_compile.wait:1.50656 code_gen:19.24597 inductor_compile:26.54325 backend_compile:44.52705 gc:0.0008 entire_frame_compile:56.3929 total_wall_time:56.3929
2025-11-03T16:33:41.3444919Z STATS: call_* op count: 431 | FakeTensorMode.__torch_dispatch__:19895 | attempt fast:405 | fast is_contiguous:405 | FakeTensor.__torch_dispatch__:13786 | ProxyTorchDispatchMode.__torch_dispatch__:6341
2025-11-03T16:33:41.3445714Z Dynamo produced 1 graphs covering 431 ops with 0 graph breaks (0 unique)
2025-11-03T16:33:46.4222669Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:33:46.4224193Z   import pynvml  # type: ignore[import]
2025-11-03T16:33:48.7903697Z 
2025-11-03T16:33:53.7663085Z loading model: 0it [00:00, ?it/s]W1103 16:33:53.765000 12786 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:34:01.9111854Z 
2025-11-03T16:34:01.9112668Z loading model: 0it [00:13, ?it/s]
2025-11-03T16:34:01.9129291Z cpu  eval  detectron2_fasterrcnn_r_101_c4     
2025-11-03T16:34:12.2749767Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_101_c4. Setting accuracy check to cosine
2025-11-03T16:34:12.2756074Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:34:27.9390121Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:34:43.8797101Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:34:46.2096007Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:46.2096609Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image
2025-11-03T16:34:46.2097133Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:34:46.2098763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in <listcomp>
2025-11-03T16:34:46.2099343Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:34:46.2099547Z 
2025-11-03T16:34:46.2099671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:46.2100167Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image
2025-11-03T16:34:46.2100659Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:34:46.2101141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in <listcomp>
2025-11-03T16:34:46.2101617Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:34:46.2101820Z 
2025-11-03T16:34:46.2101939Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:46.2102427Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image
2025-11-03T16:34:46.2103350Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:34:46.2103840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in <listcomp>
2025-11-03T16:34:46.2104310Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:34:46.2104526Z 
2025-11-03T16:34:46.2104821Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:46.2105319Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image
2025-11-03T16:34:46.2105817Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:34:46.2106285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in <listcomp>
2025-11-03T16:34:46.2106758Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:34:46.2106946Z 
2025-11-03T16:34:54.8941289Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:54.8941912Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:34:54.8942430Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:34:54.8942936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:34:54.8943424Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:34:54.8943916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:34:54.8944362Z     return torch.as_tensor(x, device=device)
2025-11-03T16:34:54.8944539Z 
2025-11-03T16:34:54.8944898Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:54.8945450Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:34:54.8946363Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:34:54.8946908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:34:54.8947391Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:34:54.8947891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:34:54.8948336Z     return torch.as_tensor(x, device=device)
2025-11-03T16:34:54.8948496Z 
2025-11-03T16:34:54.8948624Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:54.8949109Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:34:54.8949605Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:34:54.8950082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:34:54.8950596Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:34:54.8951075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:34:54.8951513Z     return torch.as_tensor(x, device=device)
2025-11-03T16:34:54.8951677Z 
2025-11-03T16:34:54.8951798Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:54.8952290Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:34:54.8952771Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:34:54.8953247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:34:54.8953718Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:34:54.8954292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:34:54.8954731Z     return torch.as_tensor(x, device=device)
2025-11-03T16:34:54.8954884Z 
2025-11-03T16:34:54.8955008Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:54.8955464Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors
2025-11-03T16:34:54.8955926Z     max_size = torch.stack(image_sizes_tensor).max(0).values
2025-11-03T16:34:54.8956117Z 
2025-11-03T16:34:54.8956234Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:54.8956698Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors
2025-11-03T16:34:54.8957161Z     max_size = torch.stack(image_sizes_tensor).max(0).values
2025-11-03T16:34:54.8957339Z 
2025-11-03T16:34:55.8313432Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4099762Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4100132Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4100492Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4100737Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4100969Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4101213Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4101456Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4101704Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4101938Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4102238Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4102482Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4102709Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4102931Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4103145Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4103369Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4103600Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4104246Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4104472Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4105026Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4105259Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4105499Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4105724Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4105954Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4106186Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4106418Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4106656Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4106883Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4107111Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4107335Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4107551Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4107779Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4108008Z cudagraph partition due to non gpu ops
2025-11-03T16:35:12.4108274Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4108889Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4109406Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4109852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:35:12.4110282Z     x = self.stem(x)
2025-11-03T16:35:12.4110671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:35:12.4111093Z     x = self.conv1(x)
2025-11-03T16:35:12.4111448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4111994Z     x = F.conv2d(
2025-11-03T16:35:12.4112118Z 
2025-11-03T16:35:12.4112240Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4112793Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4113319Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4113765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:35:12.4114168Z     x = self.stem(x)
2025-11-03T16:35:12.4114568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:35:12.4114994Z     x = F.relu_(x)
2025-11-03T16:35:12.4115110Z 
2025-11-03T16:35:12.4115235Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4115788Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4116302Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4116735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:35:12.4117152Z     x = self.stem(x)
2025-11-03T16:35:12.4117533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:35:12.4118005Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:35:12.4118197Z 
2025-11-03T16:35:12.4118318Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4118843Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4119341Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4119772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4120240Z     x = stage(x)
2025-11-03T16:35:12.4120671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4121079Z     out = self.conv1(x)
2025-11-03T16:35:12.4121442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4121824Z     x = F.conv2d(
2025-11-03T16:35:12.4121935Z 
2025-11-03T16:35:12.4122048Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4122561Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4123052Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4123475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4123872Z     x = stage(x)
2025-11-03T16:35:12.4124247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4124652Z     out = F.relu_(out)
2025-11-03T16:35:12.4124767Z 
2025-11-03T16:35:12.4124889Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4125397Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4125885Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4126311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4126716Z     x = stage(x)
2025-11-03T16:35:12.4127086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4127531Z     out = self.conv2(out)
2025-11-03T16:35:12.4127916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4128298Z     x = F.conv2d(
2025-11-03T16:35:12.4128402Z 
2025-11-03T16:35:12.4128525Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4129033Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4129527Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4129950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4130348Z     x = stage(x)
2025-11-03T16:35:12.4130712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4131108Z     out = F.relu_(out)
2025-11-03T16:35:12.4131232Z 
2025-11-03T16:35:12.4131359Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4131892Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4132387Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4132804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4133201Z     x = stage(x)
2025-11-03T16:35:12.4133570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4134006Z     out = self.conv3(out)
2025-11-03T16:35:12.4134380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4134758Z     x = F.conv2d(
2025-11-03T16:35:12.4134860Z 
2025-11-03T16:35:12.4134980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4135541Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4136036Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4136466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4136875Z     x = stage(x)
2025-11-03T16:35:12.4137239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:35:12.4137660Z     shortcut = self.shortcut(x)
2025-11-03T16:35:12.4138046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4138425Z     x = F.conv2d(
2025-11-03T16:35:12.4138528Z 
2025-11-03T16:35:12.4138650Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4139163Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4139659Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4140085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4140484Z     x = stage(x)
2025-11-03T16:35:12.4140847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4141253Z     out = self.conv1(x)
2025-11-03T16:35:12.4141619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4141995Z     x = F.conv2d(
2025-11-03T16:35:12.4142096Z 
2025-11-03T16:35:12.4142218Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4142765Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4143269Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4143691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4144102Z     x = stage(x)
2025-11-03T16:35:12.4144476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4144983Z     out = F.relu_(out)
2025-11-03T16:35:12.4145109Z 
2025-11-03T16:35:12.4145225Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4145756Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4146264Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4146698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4147112Z     x = stage(x)
2025-11-03T16:35:12.4147494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4147916Z     out = self.conv2(out)
2025-11-03T16:35:12.4148301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4148962Z     x = F.conv2d(
2025-11-03T16:35:12.4149073Z 
2025-11-03T16:35:12.4149189Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4149718Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4150224Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4150659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4151097Z     x = stage(x)
2025-11-03T16:35:12.4151466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4151871Z     out = F.relu_(out)
2025-11-03T16:35:12.4151983Z 
2025-11-03T16:35:12.4152106Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4152623Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4153105Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4153524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4153929Z     x = stage(x)
2025-11-03T16:35:12.4154299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4154702Z     out = self.conv3(out)
2025-11-03T16:35:12.4155077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4155465Z     x = F.conv2d(
2025-11-03T16:35:12.4155566Z 
2025-11-03T16:35:12.4155689Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4156203Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4156685Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4157108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4157509Z     x = stage(x)
2025-11-03T16:35:12.4157877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4158274Z     out = F.relu_(out)
2025-11-03T16:35:12.4158384Z 
2025-11-03T16:35:12.4159448Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4159996Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4160488Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4160912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4161374Z     x = stage(x)
2025-11-03T16:35:12.4161742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4162146Z     out = self.conv1(x)
2025-11-03T16:35:12.4162511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4162900Z     x = F.conv2d(
2025-11-03T16:35:12.4163002Z 
2025-11-03T16:35:12.4163116Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4163643Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4164137Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4164560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4164956Z     x = stage(x)
2025-11-03T16:35:12.4165318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4165721Z     out = F.relu_(out)
2025-11-03T16:35:12.4165832Z 
2025-11-03T16:35:12.4165955Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4166475Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4166959Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4167435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4167837Z     x = stage(x)
2025-11-03T16:35:12.4168208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4168616Z     out = self.conv2(out)
2025-11-03T16:35:12.4168979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4169366Z     x = F.conv2d(
2025-11-03T16:35:12.4169475Z 
2025-11-03T16:35:12.4169589Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4170109Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4170605Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4171022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4171426Z     x = stage(x)
2025-11-03T16:35:12.4171792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4172193Z     out = F.relu_(out)
2025-11-03T16:35:12.4172305Z 
2025-11-03T16:35:12.4172418Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4172934Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4173424Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4173847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4174246Z     x = stage(x)
2025-11-03T16:35:12.4174650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4175066Z     out = self.conv3(out)
2025-11-03T16:35:12.4175434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4175827Z     x = F.conv2d(
2025-11-03T16:35:12.4175928Z 
2025-11-03T16:35:12.4176049Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4176560Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4177054Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4177478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4177881Z     x = stage(x)
2025-11-03T16:35:12.4178242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4178647Z     out = F.relu_(out)
2025-11-03T16:35:12.4178768Z 
2025-11-03T16:35:12.4178881Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4179396Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4179898Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4180310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4180713Z     x = stage(x)
2025-11-03T16:35:12.4181078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4181484Z     out = self.conv1(x)
2025-11-03T16:35:12.4181850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4182233Z     x = F.conv2d(
2025-11-03T16:35:12.4182344Z 
2025-11-03T16:35:12.4182506Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4183024Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4183526Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4183943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4184348Z     x = stage(x)
2025-11-03T16:35:12.4184820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4185235Z     out = F.relu_(out)
2025-11-03T16:35:12.4185350Z 
2025-11-03T16:35:12.4185474Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4186001Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4186729Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4187158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4187565Z     x = stage(x)
2025-11-03T16:35:12.4187935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4188339Z     out = self.conv2(out)
2025-11-03T16:35:12.4188711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4189102Z     x = F.conv2d(
2025-11-03T16:35:12.4189205Z 
2025-11-03T16:35:12.4189328Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4189836Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4190439Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4190863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4191255Z     x = stage(x)
2025-11-03T16:35:12.4191615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4192002Z     out = F.relu_(out)
2025-11-03T16:35:12.4192119Z 
2025-11-03T16:35:12.4192230Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4192730Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4193213Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4193623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4194009Z     x = stage(x)
2025-11-03T16:35:12.4194371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4194773Z     out = self.conv3(out)
2025-11-03T16:35:12.4195130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4195498Z     x = F.conv2d(
2025-11-03T16:35:12.4195604Z 
2025-11-03T16:35:12.4195714Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4196214Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4196694Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4197101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4197480Z     x = stage(x)
2025-11-03T16:35:12.4197842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:35:12.4198313Z     shortcut = self.shortcut(x)
2025-11-03T16:35:12.4198679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4199044Z     x = F.conv2d(
2025-11-03T16:35:12.4199142Z 
2025-11-03T16:35:12.4199253Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4199758Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4200288Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4200701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4201084Z     x = stage(x)
2025-11-03T16:35:12.4201450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4201863Z     out = self.conv1(x)
2025-11-03T16:35:12.4202226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4202603Z     x = F.conv2d(
2025-11-03T16:35:12.4202706Z 
2025-11-03T16:35:12.4202821Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4203353Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4203832Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4204244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4204631Z     x = stage(x)
2025-11-03T16:35:12.4204982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4205416Z     out = F.relu_(out)
2025-11-03T16:35:12.4205537Z 
2025-11-03T16:35:12.4205648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4206155Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4206626Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4207058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4207448Z     x = stage(x)
2025-11-03T16:35:12.4207805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4208204Z     out = self.conv2(out)
2025-11-03T16:35:12.4208556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4208925Z     x = F.conv2d(
2025-11-03T16:35:12.4209032Z 
2025-11-03T16:35:12.4209148Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4209656Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4210136Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4210540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4210929Z     x = stage(x)
2025-11-03T16:35:12.4211286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4211679Z     out = F.relu_(out)
2025-11-03T16:35:12.4211786Z 
2025-11-03T16:35:12.4211896Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4212394Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4212946Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4213357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4213749Z     x = stage(x)
2025-11-03T16:35:12.4214101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4214495Z     out = self.conv3(out)
2025-11-03T16:35:12.4214853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4215230Z     x = F.conv2d(
2025-11-03T16:35:12.4215328Z 
2025-11-03T16:35:12.4215447Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4215944Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4216423Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4216839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4217227Z     x = stage(x)
2025-11-03T16:35:12.4217575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4217967Z     out = F.relu_(out)
2025-11-03T16:35:12.4218082Z 
2025-11-03T16:35:12.4218192Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4218695Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4219170Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4219575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4219966Z     x = stage(x)
2025-11-03T16:35:12.4220361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4220764Z     out = self.conv1(x)
2025-11-03T16:35:12.4221119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4221484Z     x = F.conv2d(
2025-11-03T16:35:12.4221591Z 
2025-11-03T16:35:12.4221700Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4222202Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4222680Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4223083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4223472Z     x = stage(x)
2025-11-03T16:35:12.4223833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4224223Z     out = F.relu_(out)
2025-11-03T16:35:12.4224329Z 
2025-11-03T16:35:12.4224449Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4225041Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4225542Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4225977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4226368Z     x = stage(x)
2025-11-03T16:35:12.4226729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4227119Z     out = self.conv2(out)
2025-11-03T16:35:12.4227487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4227875Z     x = F.conv2d(
2025-11-03T16:35:12.4228026Z 
2025-11-03T16:35:12.4228149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4228659Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4229152Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4229583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4229989Z     x = stage(x)
2025-11-03T16:35:12.4230365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4230765Z     out = F.relu_(out)
2025-11-03T16:35:12.4246481Z 
2025-11-03T16:35:12.4246751Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4247358Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4247887Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4248335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4248740Z     x = stage(x)
2025-11-03T16:35:12.4249117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4249521Z     out = self.conv3(out)
2025-11-03T16:35:12.4249895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4250273Z     x = F.conv2d(
2025-11-03T16:35:12.4250379Z 
2025-11-03T16:35:12.4250509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4251165Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4251667Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4252101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4252500Z     x = stage(x)
2025-11-03T16:35:12.4252869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4253271Z     out = F.relu_(out)
2025-11-03T16:35:12.4253388Z 
2025-11-03T16:35:12.4253504Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4254019Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4254508Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4254929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4255334Z     x = stage(x)
2025-11-03T16:35:12.4255689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4256087Z     out = self.conv1(x)
2025-11-03T16:35:12.4256445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4256816Z     x = F.conv2d(
2025-11-03T16:35:12.4256918Z 
2025-11-03T16:35:12.4257032Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4257541Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4258024Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4258443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4258837Z     x = stage(x)
2025-11-03T16:35:12.4259193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4259659Z     out = F.relu_(out)
2025-11-03T16:35:12.4259784Z 
2025-11-03T16:35:12.4259899Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4260416Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4260920Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4261323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4261723Z     x = stage(x)
2025-11-03T16:35:12.4262089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4262498Z     out = self.conv2(out)
2025-11-03T16:35:12.4262866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4263257Z     x = F.conv2d(
2025-11-03T16:35:12.4263369Z 
2025-11-03T16:35:12.4263485Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4264000Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4264488Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4265010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4265431Z     x = stage(x)
2025-11-03T16:35:12.4265803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4266211Z     out = F.relu_(out)
2025-11-03T16:35:12.4266325Z 
2025-11-03T16:35:12.4266446Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4267005Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4267511Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4267941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4268346Z     x = stage(x)
2025-11-03T16:35:12.4268709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4269119Z     out = self.conv3(out)
2025-11-03T16:35:12.4269495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4269874Z     x = F.conv2d(
2025-11-03T16:35:12.4269976Z 
2025-11-03T16:35:12.4270100Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4270620Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4271124Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4271553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4271983Z     x = stage(x)
2025-11-03T16:35:12.4272357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4272780Z     out = F.relu_(out)
2025-11-03T16:35:12.4272899Z 
2025-11-03T16:35:12.4273015Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4273536Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4274032Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4274456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4274905Z     x = stage(x)
2025-11-03T16:35:12.4275279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4275711Z     out = self.conv1(x)
2025-11-03T16:35:12.4276080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4276474Z     x = F.conv2d(
2025-11-03T16:35:12.4276586Z 
2025-11-03T16:35:12.4276702Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4277224Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4277726Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4278144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4278533Z     x = stage(x)
2025-11-03T16:35:12.4278898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4279290Z     out = F.relu_(out)
2025-11-03T16:35:12.4279399Z 
2025-11-03T16:35:12.4279518Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4280013Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4280497Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4280910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4281300Z     x = stage(x)
2025-11-03T16:35:12.4281664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4282128Z     out = self.conv2(out)
2025-11-03T16:35:12.4282503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4282866Z     x = F.conv2d(
2025-11-03T16:35:12.4282961Z 
2025-11-03T16:35:12.4283078Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4283576Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4284056Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4284467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4284852Z     x = stage(x)
2025-11-03T16:35:12.4285210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4285594Z     out = F.relu_(out)
2025-11-03T16:35:12.4285710Z 
2025-11-03T16:35:12.4285826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4286500Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4287004Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4287421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4287808Z     x = stage(x)
2025-11-03T16:35:12.4288171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4288569Z     out = self.conv3(out)
2025-11-03T16:35:12.4288995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4289378Z     x = F.conv2d(
2025-11-03T16:35:12.4289478Z 
2025-11-03T16:35:12.4289594Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4290229Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4290717Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4291111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4291487Z     x = stage(x)
2025-11-03T16:35:12.4291849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:35:12.4292248Z     shortcut = self.shortcut(x)
2025-11-03T16:35:12.4292607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4292962Z     x = F.conv2d(
2025-11-03T16:35:12.4293058Z 
2025-11-03T16:35:12.4293176Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4293652Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4294106Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4294496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4294864Z     x = stage(x)
2025-11-03T16:35:12.4295200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4295578Z     out = self.conv1(x)
2025-11-03T16:35:12.4295914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4296266Z     x = F.conv2d(
2025-11-03T16:35:12.4296357Z 
2025-11-03T16:35:12.4296463Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4297002Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4297447Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4297826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4298189Z     x = stage(x)
2025-11-03T16:35:12.4298521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4298895Z     out = F.relu_(out)
2025-11-03T16:35:12.4299006Z 
2025-11-03T16:35:12.4299110Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4299582Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4300033Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4300414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4300803Z     x = stage(x)
2025-11-03T16:35:12.4301163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4301554Z     out = self.conv2(out)
2025-11-03T16:35:12.4301906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4302283Z     x = F.conv2d(
2025-11-03T16:35:12.4302387Z 
2025-11-03T16:35:12.4302497Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4302998Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4303475Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4303879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4304320Z     x = stage(x)
2025-11-03T16:35:12.4304763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4305162Z     out = F.relu_(out)
2025-11-03T16:35:12.4305271Z 
2025-11-03T16:35:12.4305387Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4305895Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4306393Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4306804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4307197Z     x = stage(x)
2025-11-03T16:35:12.4307550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4307949Z     out = self.conv3(out)
2025-11-03T16:35:12.4308316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4308688Z     x = F.conv2d(
2025-11-03T16:35:12.4308784Z 
2025-11-03T16:35:12.4308901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4309392Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4309865Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4310269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4310658Z     x = stage(x)
2025-11-03T16:35:12.4311022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4311406Z     out = F.relu_(out)
2025-11-03T16:35:12.4311519Z 
2025-11-03T16:35:12.4311668Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4312176Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4312658Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4313056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4313447Z     x = stage(x)
2025-11-03T16:35:12.4313807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4314200Z     out = self.conv1(x)
2025-11-03T16:35:12.4314554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4314910Z     x = F.conv2d(
2025-11-03T16:35:12.4315014Z 
2025-11-03T16:35:12.4315126Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4315634Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4316111Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4316524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4316906Z     x = stage(x)
2025-11-03T16:35:12.4317261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4317654Z     out = F.relu_(out)
2025-11-03T16:35:12.4317760Z 
2025-11-03T16:35:12.4317876Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4318370Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4318846Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4319307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4319697Z     x = stage(x)
2025-11-03T16:35:12.4320056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4320443Z     out = self.conv2(out)
2025-11-03T16:35:12.4320782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4321129Z     x = F.conv2d(
2025-11-03T16:35:12.4321224Z 
2025-11-03T16:35:12.4321335Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4321807Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4322277Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4322690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4323085Z     x = stage(x)
2025-11-03T16:35:12.4323445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4323829Z     out = F.relu_(out)
2025-11-03T16:35:12.4323946Z 
2025-11-03T16:35:12.4324056Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4324558Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4325010Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4325397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4325761Z     x = stage(x)
2025-11-03T16:35:12.4326143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4326522Z     out = self.conv3(out)
2025-11-03T16:35:12.4326866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4327221Z     x = F.conv2d(
2025-11-03T16:35:12.4327316Z 
2025-11-03T16:35:12.4327424Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4327905Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4328360Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4328756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4329122Z     x = stage(x)
2025-11-03T16:35:12.4329465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4329845Z     out = F.relu_(out)
2025-11-03T16:35:12.4329951Z 
2025-11-03T16:35:12.4330068Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4330551Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4331007Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4331406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4331791Z     x = stage(x)
2025-11-03T16:35:12.4332157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4332560Z     out = self.conv1(x)
2025-11-03T16:35:12.4332915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4333294Z     x = F.conv2d(
2025-11-03T16:35:12.4333404Z 
2025-11-03T16:35:12.4333582Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4334086Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4334560Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4334967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4335359Z     x = stage(x)
2025-11-03T16:35:12.4335711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4336080Z     out = F.relu_(out)
2025-11-03T16:35:12.4336181Z 
2025-11-03T16:35:12.4336286Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4336781Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4337262Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4337672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4338065Z     x = stage(x)
2025-11-03T16:35:12.4338415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4338813Z     out = self.conv2(out)
2025-11-03T16:35:12.4339171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4339564Z     x = F.conv2d(
2025-11-03T16:35:12.4339661Z 
2025-11-03T16:35:12.4339772Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4340273Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4340795Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4341214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4341604Z     x = stage(x)
2025-11-03T16:35:12.4341957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4342348Z     out = F.relu_(out)
2025-11-03T16:35:12.4342462Z 
2025-11-03T16:35:12.4342571Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4343070Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4343544Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4343944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4344334Z     x = stage(x)
2025-11-03T16:35:12.4344775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4345192Z     out = self.conv3(out)
2025-11-03T16:35:12.4345559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4345957Z     x = F.conv2d(
2025-11-03T16:35:12.4346065Z 
2025-11-03T16:35:12.4346176Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4346698Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4347196Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4347613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4348022Z     x = stage(x)
2025-11-03T16:35:12.4348401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4348918Z     out = F.relu_(out)
2025-11-03T16:35:12.4349028Z 
2025-11-03T16:35:12.4349146Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4349652Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4350141Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4350564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4350961Z     x = stage(x)
2025-11-03T16:35:12.4351324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4351730Z     out = self.conv1(x)
2025-11-03T16:35:12.4352103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4352476Z     x = F.conv2d(
2025-11-03T16:35:12.4352575Z 
2025-11-03T16:35:12.4352691Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4353193Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4353680Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4354139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4354525Z     x = stage(x)
2025-11-03T16:35:12.4354882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4355264Z     out = F.relu_(out)
2025-11-03T16:35:12.4355375Z 
2025-11-03T16:35:12.4355483Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4356029Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4356513Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4356920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4357305Z     x = stage(x)
2025-11-03T16:35:12.4357667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4358063Z     out = self.conv2(out)
2025-11-03T16:35:12.4358420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4358790Z     x = F.conv2d(
2025-11-03T16:35:12.4358896Z 
2025-11-03T16:35:12.4359006Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4359513Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4359996Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4360409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4360792Z     x = stage(x)
2025-11-03T16:35:12.4361154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4361543Z     out = F.relu_(out)
2025-11-03T16:35:12.4361650Z 
2025-11-03T16:35:12.4361766Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4362265Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4362731Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4363141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4363576Z     x = stage(x)
2025-11-03T16:35:12.4363934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4364324Z     out = self.conv3(out)
2025-11-03T16:35:12.4364682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4365052Z     x = F.conv2d(
2025-11-03T16:35:12.4365150Z 
2025-11-03T16:35:12.4365271Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4365773Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4366246Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4366659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4367054Z     x = stage(x)
2025-11-03T16:35:12.4367418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4367794Z     out = F.relu_(out)
2025-11-03T16:35:12.4367904Z 
2025-11-03T16:35:12.4368007Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4368501Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4368973Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4369383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4369773Z     x = stage(x)
2025-11-03T16:35:12.4370111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4370485Z     out = self.conv1(x)
2025-11-03T16:35:12.4370852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4371205Z     x = F.conv2d(
2025-11-03T16:35:12.4371299Z 
2025-11-03T16:35:12.4371405Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4371882Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4372336Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4372726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4373095Z     x = stage(x)
2025-11-03T16:35:12.4373431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4373803Z     out = F.relu_(out)
2025-11-03T16:35:12.4373908Z 
2025-11-03T16:35:12.4374031Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4374542Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4375014Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4375429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4375820Z     x = stage(x)
2025-11-03T16:35:12.4376185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4376582Z     out = self.conv2(out)
2025-11-03T16:35:12.4376943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4377324Z     x = F.conv2d(
2025-11-03T16:35:12.4377422Z 
2025-11-03T16:35:12.4377532Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4378038Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4378567Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4378986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4379379Z     x = stage(x)
2025-11-03T16:35:12.4379739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4380142Z     out = F.relu_(out)
2025-11-03T16:35:12.4380252Z 
2025-11-03T16:35:12.4380370Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4380880Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4381362Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4381780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4382179Z     x = stage(x)
2025-11-03T16:35:12.4382541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4382943Z     out = self.conv3(out)
2025-11-03T16:35:12.4383299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4383672Z     x = F.conv2d(
2025-11-03T16:35:12.4383775Z 
2025-11-03T16:35:12.4383885Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4384393Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4384952Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4385411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4385808Z     x = stage(x)
2025-11-03T16:35:12.4386371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4386775Z     out = F.relu_(out)
2025-11-03T16:35:12.4386884Z 
2025-11-03T16:35:12.4386994Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4387503Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4387992Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4388401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4388790Z     x = stage(x)
2025-11-03T16:35:12.4389138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4389541Z     out = self.conv1(x)
2025-11-03T16:35:12.4389897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4390268Z     x = F.conv2d(
2025-11-03T16:35:12.4390367Z 
2025-11-03T16:35:12.4390479Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4390983Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4391465Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4391883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4392276Z     x = stage(x)
2025-11-03T16:35:12.4392624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4393016Z     out = F.relu_(out)
2025-11-03T16:35:12.4393132Z 
2025-11-03T16:35:12.4393357Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4393858Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4394337Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4394740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4395134Z     x = stage(x)
2025-11-03T16:35:12.4395501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4395899Z     out = self.conv2(out)
2025-11-03T16:35:12.4396255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4396636Z     x = F.conv2d(
2025-11-03T16:35:12.4396743Z 
2025-11-03T16:35:12.4396855Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4397369Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4397859Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4398264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4398653Z     x = stage(x)
2025-11-03T16:35:12.4399010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4399400Z     out = F.relu_(out)
2025-11-03T16:35:12.4399507Z 
2025-11-03T16:35:12.4399624Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4400120Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4400662Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4401080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4401467Z     x = stage(x)
2025-11-03T16:35:12.4401818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4402213Z     out = self.conv3(out)
2025-11-03T16:35:12.4402567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4402940Z     x = F.conv2d(
2025-11-03T16:35:12.4403037Z 
2025-11-03T16:35:12.4403155Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4403651Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4404141Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4404556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4404954Z     x = stage(x)
2025-11-03T16:35:12.4405314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4405700Z     out = F.relu_(out)
2025-11-03T16:35:12.4405818Z 
2025-11-03T16:35:12.4405931Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4406443Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4406935Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4407354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4407734Z     x = stage(x)
2025-11-03T16:35:12.4408092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4408543Z     out = self.conv1(x)
2025-11-03T16:35:12.4408898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4409264Z     x = F.conv2d(
2025-11-03T16:35:12.4409370Z 
2025-11-03T16:35:12.4409481Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4409984Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4410478Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4410889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4411276Z     x = stage(x)
2025-11-03T16:35:12.4411642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4412038Z     out = F.relu_(out)
2025-11-03T16:35:12.4412146Z 
2025-11-03T16:35:12.4412265Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4412764Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4413261Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4413690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4414078Z     x = stage(x)
2025-11-03T16:35:12.4414435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4414824Z     out = self.conv2(out)
2025-11-03T16:35:12.4415182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4415591Z     x = F.conv2d(
2025-11-03T16:35:12.4415697Z 
2025-11-03T16:35:12.4415815Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4416316Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4416788Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4417199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4417588Z     x = stage(x)
2025-11-03T16:35:12.4417946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4418330Z     out = F.relu_(out)
2025-11-03T16:35:12.4418447Z 
2025-11-03T16:35:12.4418556Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4419057Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4419531Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4419940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4420318Z     x = stage(x)
2025-11-03T16:35:12.4420686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4421093Z     out = self.conv3(out)
2025-11-03T16:35:12.4421460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4421847Z     x = F.conv2d(
2025-11-03T16:35:12.4421946Z 
2025-11-03T16:35:12.4422059Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4422570Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4423111Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4423565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4423976Z     x = stage(x)
2025-11-03T16:35:12.4424345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4424833Z     out = F.relu_(out)
2025-11-03T16:35:12.4424949Z 
2025-11-03T16:35:12.4425074Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4425594Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4426087Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4426512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4426923Z     x = stage(x)
2025-11-03T16:35:12.4427310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4427720Z     out = self.conv1(x)
2025-11-03T16:35:12.4428086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4428478Z     x = F.conv2d(
2025-11-03T16:35:12.4428589Z 
2025-11-03T16:35:12.4428704Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4429219Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4429706Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4430122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4430528Z     x = stage(x)
2025-11-03T16:35:12.4430943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4431351Z     out = F.relu_(out)
2025-11-03T16:35:12.4431461Z 
2025-11-03T16:35:12.4431574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4432090Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4432576Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4432999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4433394Z     x = stage(x)
2025-11-03T16:35:12.4433753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4434157Z     out = self.conv2(out)
2025-11-03T16:35:12.4434527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4434920Z     x = F.conv2d(
2025-11-03T16:35:12.4435021Z 
2025-11-03T16:35:12.4435133Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4435647Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4436147Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4436555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4436944Z     x = stage(x)
2025-11-03T16:35:12.4437291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4437685Z     out = F.relu_(out)
2025-11-03T16:35:12.4437803Z 
2025-11-03T16:35:12.4437913Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4438417Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4438939Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4439342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4439732Z     x = stage(x)
2025-11-03T16:35:12.4440093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4440488Z     out = self.conv3(out)
2025-11-03T16:35:12.4440838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4441215Z     x = F.conv2d(
2025-11-03T16:35:12.4441321Z 
2025-11-03T16:35:12.4441430Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4441938Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4442415Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4442818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4443212Z     x = stage(x)
2025-11-03T16:35:12.4443570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4443967Z     out = F.relu_(out)
2025-11-03T16:35:12.4444074Z 
2025-11-03T16:35:12.4444190Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4444690Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4445169Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4445631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4446029Z     x = stage(x)
2025-11-03T16:35:12.4446389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4446782Z     out = self.conv1(x)
2025-11-03T16:35:12.4447134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4447517Z     x = F.conv2d(
2025-11-03T16:35:12.4447615Z 
2025-11-03T16:35:12.4447734Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4448234Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4448689Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4449086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4449461Z     x = stage(x)
2025-11-03T16:35:12.4449799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4450163Z     out = F.relu_(out)
2025-11-03T16:35:12.4450273Z 
2025-11-03T16:35:12.4450379Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4450852Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4451303Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4451689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4452050Z     x = stage(x)
2025-11-03T16:35:12.4452385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4452755Z     out = self.conv2(out)
2025-11-03T16:35:12.4453139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4453478Z     x = F.conv2d(
2025-11-03T16:35:12.4453580Z 
2025-11-03T16:35:12.4453683Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4454157Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4454608Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4454990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4455347Z     x = stage(x)
2025-11-03T16:35:12.4455678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4456044Z     out = F.relu_(out)
2025-11-03T16:35:12.4456144Z 
2025-11-03T16:35:12.4456258Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4456732Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4457170Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4457552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4457913Z     x = stage(x)
2025-11-03T16:35:12.4458251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4458612Z     out = self.conv3(out)
2025-11-03T16:35:12.4458945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4459293Z     x = F.conv2d(
2025-11-03T16:35:12.4459386Z 
2025-11-03T16:35:12.4459496Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4460002Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4460457Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4460867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4461258Z     x = stage(x)
2025-11-03T16:35:12.4461616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4462007Z     out = F.relu_(out)
2025-11-03T16:35:12.4462115Z 
2025-11-03T16:35:12.4462225Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4462726Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4463210Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4463626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4464008Z     x = stage(x)
2025-11-03T16:35:12.4464370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4464846Z     out = self.conv1(x)
2025-11-03T16:35:12.4465210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4465598Z     x = F.conv2d(
2025-11-03T16:35:12.4465702Z 
2025-11-03T16:35:12.4465816Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4466343Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4466825Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4467247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4467688Z     x = stage(x)
2025-11-03T16:35:12.4468036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4468428Z     out = F.relu_(out)
2025-11-03T16:35:12.4468538Z 
2025-11-03T16:35:12.4468654Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4469157Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4469625Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4470033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4470421Z     x = stage(x)
2025-11-03T16:35:12.4470784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4471184Z     out = self.conv2(out)
2025-11-03T16:35:12.4471541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4471919Z     x = F.conv2d(
2025-11-03T16:35:12.4472023Z 
2025-11-03T16:35:12.4472134Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4472629Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4473107Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4473509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4473897Z     x = stage(x)
2025-11-03T16:35:12.4474253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4474680Z     out = F.relu_(out)
2025-11-03T16:35:12.4474793Z 
2025-11-03T16:35:12.4474902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4475408Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4475884Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4476296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4476689Z     x = stage(x)
2025-11-03T16:35:12.4477042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4477438Z     out = self.conv3(out)
2025-11-03T16:35:12.4477803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4478173Z     x = F.conv2d(
2025-11-03T16:35:12.4478272Z 
2025-11-03T16:35:12.4478395Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4478887Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4479366Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4479775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4480165Z     x = stage(x)
2025-11-03T16:35:12.4480514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4480905Z     out = F.relu_(out)
2025-11-03T16:35:12.4481018Z 
2025-11-03T16:35:12.4481126Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4481632Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4482158Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4482561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4482954Z     x = stage(x)
2025-11-03T16:35:12.4483312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4483706Z     out = self.conv1(x)
2025-11-03T16:35:12.4484057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4484425Z     x = F.conv2d(
2025-11-03T16:35:12.4484530Z 
2025-11-03T16:35:12.4484639Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4485140Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4485621Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4486027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4486679Z     x = stage(x)
2025-11-03T16:35:12.4487047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4487445Z     out = F.relu_(out)
2025-11-03T16:35:12.4487554Z 
2025-11-03T16:35:12.4487674Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4488172Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4488656Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4489071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4489466Z     x = stage(x)
2025-11-03T16:35:12.4489904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4490302Z     out = self.conv2(out)
2025-11-03T16:35:12.4490664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4491037Z     x = F.conv2d(
2025-11-03T16:35:12.4491138Z 
2025-11-03T16:35:12.4491254Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4491755Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4492242Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4492656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4493054Z     x = stage(x)
2025-11-03T16:35:12.4493420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4493809Z     out = F.relu_(out)
2025-11-03T16:35:12.4493928Z 
2025-11-03T16:35:12.4494040Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4494543Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4495010Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4495421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4495805Z     x = stage(x)
2025-11-03T16:35:12.4496164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4496566Z     out = self.conv3(out)
2025-11-03T16:35:12.4496928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4497368Z     x = F.conv2d(
2025-11-03T16:35:12.4497475Z 
2025-11-03T16:35:12.4497588Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4498091Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4498570Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4498981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4499361Z     x = stage(x)
2025-11-03T16:35:12.4499718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4500111Z     out = F.relu_(out)
2025-11-03T16:35:12.4500218Z 
2025-11-03T16:35:12.4500336Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4500844Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4501322Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4501740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4502129Z     x = stage(x)
2025-11-03T16:35:12.4502491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4502877Z     out = self.conv1(x)
2025-11-03T16:35:12.4503230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4503602Z     x = F.conv2d(
2025-11-03T16:35:12.4503698Z 
2025-11-03T16:35:12.4503818Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4504371Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4504925Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4505354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4505760Z     x = stage(x)
2025-11-03T16:35:12.4506137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4506531Z     out = F.relu_(out)
2025-11-03T16:35:12.4506639Z 
2025-11-03T16:35:12.4506750Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4507258Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4507740Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4508156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4508549Z     x = stage(x)
2025-11-03T16:35:12.4508913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4509312Z     out = self.conv2(out)
2025-11-03T16:35:12.4509674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4510053Z     x = F.conv2d(
2025-11-03T16:35:12.4510149Z 
2025-11-03T16:35:12.4510260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4510765Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4511245Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4511655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4512044Z     x = stage(x)
2025-11-03T16:35:12.4512444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4512835Z     out = F.relu_(out)
2025-11-03T16:35:12.4512948Z 
2025-11-03T16:35:12.4513059Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4513560Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4514033Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4514445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4514842Z     x = stage(x)
2025-11-03T16:35:12.4515210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4515625Z     out = self.conv3(out)
2025-11-03T16:35:12.4515984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4516365Z     x = F.conv2d(
2025-11-03T16:35:12.4516471Z 
2025-11-03T16:35:12.4516581Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4517085Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4517572Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4517985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4518389Z     x = stage(x)
2025-11-03T16:35:12.4518747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4519136Z     out = F.relu_(out)
2025-11-03T16:35:12.4519243Z 
2025-11-03T16:35:12.4519389Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4519901Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4520381Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4520799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4520864Z     x = stage(x)
2025-11-03T16:35:12.4521128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4521198Z     out = self.conv1(x)
2025-11-03T16:35:12.4521433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4521507Z     x = F.conv2d(
2025-11-03T16:35:12.4521510Z 
2025-11-03T16:35:12.4521621Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4521958Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4522048Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4522312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4522377Z     x = stage(x)
2025-11-03T16:35:12.4522635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4522713Z     out = F.relu_(out)
2025-11-03T16:35:12.4522716Z 
2025-11-03T16:35:12.4522826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4523156Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4523244Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4523511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4523621Z     x = stage(x)
2025-11-03T16:35:12.4523880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4523960Z     out = self.conv2(out)
2025-11-03T16:35:12.4524194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4524267Z     x = F.conv2d(
2025-11-03T16:35:12.4524271Z 
2025-11-03T16:35:12.4524382Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4524704Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4524801Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4525060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4525135Z     x = stage(x)
2025-11-03T16:35:12.4525389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4525457Z     out = F.relu_(out)
2025-11-03T16:35:12.4525469Z 
2025-11-03T16:35:12.4525577Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4525897Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4525992Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4526247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4526318Z     x = stage(x)
2025-11-03T16:35:12.4526574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4526681Z     out = self.conv3(out)
2025-11-03T16:35:12.4526929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4526998Z     x = F.conv2d(
2025-11-03T16:35:12.4527002Z 
2025-11-03T16:35:12.4527118Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4527444Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4527531Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4527795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4527859Z     x = stage(x)
2025-11-03T16:35:12.4528124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4528191Z     out = F.relu_(out)
2025-11-03T16:35:12.4528197Z 
2025-11-03T16:35:12.4528318Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4528645Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4528731Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4528995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4529059Z     x = stage(x)
2025-11-03T16:35:12.4529322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4529391Z     out = self.conv1(x)
2025-11-03T16:35:12.4529624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4529698Z     x = F.conv2d(
2025-11-03T16:35:12.4529701Z 
2025-11-03T16:35:12.4529816Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4530200Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4530289Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4530553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4530620Z     x = stage(x)
2025-11-03T16:35:12.4530876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4530951Z     out = F.relu_(out)
2025-11-03T16:35:12.4530955Z 
2025-11-03T16:35:12.4531064Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4531392Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4531481Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4531737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4531812Z     x = stage(x)
2025-11-03T16:35:12.4532065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4532145Z     out = self.conv2(out)
2025-11-03T16:35:12.4532387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4532452Z     x = F.conv2d(
2025-11-03T16:35:12.4532462Z 
2025-11-03T16:35:12.4532571Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4532893Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4532990Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4533369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4533449Z     x = stage(x)
2025-11-03T16:35:12.4533710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4533780Z     out = F.relu_(out)
2025-11-03T16:35:12.4533784Z 
2025-11-03T16:35:12.4533907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4534239Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4534333Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4534591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4534656Z     x = stage(x)
2025-11-03T16:35:12.4534929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4535006Z     out = self.conv3(out)
2025-11-03T16:35:12.4535259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4535326Z     x = F.conv2d(
2025-11-03T16:35:12.4535330Z 
2025-11-03T16:35:12.4535452Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4535787Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4535877Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4536152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4536219Z     x = stage(x)
2025-11-03T16:35:12.4536496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4536632Z     out = F.relu_(out)
2025-11-03T16:35:12.4536636Z 
2025-11-03T16:35:12.4536759Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4537091Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4537176Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4537447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4537514Z     x = stage(x)
2025-11-03T16:35:12.4537789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4537862Z     out = self.conv1(x)
2025-11-03T16:35:12.4538114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4538193Z     x = F.conv2d(
2025-11-03T16:35:12.4538199Z 
2025-11-03T16:35:12.4538313Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4538657Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4538746Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4539010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4539085Z     x = stage(x)
2025-11-03T16:35:12.4539350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4539427Z     out = F.relu_(out)
2025-11-03T16:35:12.4539430Z 
2025-11-03T16:35:12.4539543Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4539924Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4540021Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4540286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4540363Z     x = stage(x)
2025-11-03T16:35:12.4540631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4540713Z     out = self.conv2(out)
2025-11-03T16:35:12.4540956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4541023Z     x = F.conv2d(
2025-11-03T16:35:12.4541027Z 
2025-11-03T16:35:12.4541150Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4541482Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4541583Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4541849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4541923Z     x = stage(x)
2025-11-03T16:35:12.4542189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4542258Z     out = F.relu_(out)
2025-11-03T16:35:12.4542261Z 
2025-11-03T16:35:12.4542383Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4542718Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4542813Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4543079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4543147Z     x = stage(x)
2025-11-03T16:35:12.4543472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4543546Z     out = self.conv3(out)
2025-11-03T16:35:12.4543793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4543860Z     x = F.conv2d(
2025-11-03T16:35:12.4543864Z 
2025-11-03T16:35:12.4543977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4544319Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4544409Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4544757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4544831Z     x = stage(x)
2025-11-03T16:35:12.4545108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4545181Z     out = F.relu_(out)
2025-11-03T16:35:12.4545185Z 
2025-11-03T16:35:12.4545298Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4545640Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4545731Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4546001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4546067Z     x = stage(x)
2025-11-03T16:35:12.4546328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4546408Z     out = self.conv1(x)
2025-11-03T16:35:12.4546757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4546836Z     x = F.conv2d(
2025-11-03T16:35:12.4546840Z 
2025-11-03T16:35:12.4546953Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4547304Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4547394Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4547666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4547740Z     x = stage(x)
2025-11-03T16:35:12.4548012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4548088Z     out = F.relu_(out)
2025-11-03T16:35:12.4548091Z 
2025-11-03T16:35:12.4548205Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4548551Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4548652Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4548926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4549002Z     x = stage(x)
2025-11-03T16:35:12.4549273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4549356Z     out = self.conv2(out)
2025-11-03T16:35:12.4549604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4549672Z     x = F.conv2d(
2025-11-03T16:35:12.4549676Z 
2025-11-03T16:35:12.4549799Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4550147Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4550286Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4550554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4550620Z     x = stage(x)
2025-11-03T16:35:12.4550896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4550967Z     out = F.relu_(out)
2025-11-03T16:35:12.4550970Z 
2025-11-03T16:35:12.4551090Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4551428Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4551525Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4551795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4551863Z     x = stage(x)
2025-11-03T16:35:12.4552138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4552215Z     out = self.conv3(out)
2025-11-03T16:35:12.4552468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4552535Z     x = F.conv2d(
2025-11-03T16:35:12.4552539Z 
2025-11-03T16:35:12.4552653Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4553000Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4553090Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4553365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4553489Z     x = stage(x)
2025-11-03T16:35:12.4553764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4553835Z     out = F.relu_(out)
2025-11-03T16:35:12.4553839Z 
2025-11-03T16:35:12.4553952Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4554304Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4554394Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4554713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4554817Z     x = stage(x)
2025-11-03T16:35:12.4555091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4555172Z     out = self.conv1(x)
2025-11-03T16:35:12.4555432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4555507Z     x = F.conv2d(
2025-11-03T16:35:12.4555510Z 
2025-11-03T16:35:12.4555625Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4555972Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4556071Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4556341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4556417Z     x = stage(x)
2025-11-03T16:35:12.4556687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4556763Z     out = F.relu_(out)
2025-11-03T16:35:12.4556767Z 
2025-11-03T16:35:12.4556884Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4557271Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4557373Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4557647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4557724Z     x = stage(x)
2025-11-03T16:35:12.4557992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4558065Z     out = self.conv2(out)
2025-11-03T16:35:12.4558320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4558386Z     x = F.conv2d(
2025-11-03T16:35:12.4558389Z 
2025-11-03T16:35:12.4558509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4558856Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4558951Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4559220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4559286Z     x = stage(x)
2025-11-03T16:35:12.4559559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4559629Z     out = F.relu_(out)
2025-11-03T16:35:12.4559633Z 
2025-11-03T16:35:12.4559751Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4560089Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4560177Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4560496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4560564Z     x = stage(x)
2025-11-03T16:35:12.4560837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4560911Z     out = self.conv3(out)
2025-11-03T16:35:12.4561170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4561235Z     x = F.conv2d(
2025-11-03T16:35:12.4561239Z 
2025-11-03T16:35:12.4561351Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4561687Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4561773Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4562041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4562108Z     x = stage(x)
2025-11-03T16:35:12.4562364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4562440Z     out = F.relu_(out)
2025-11-03T16:35:12.4562444Z 
2025-11-03T16:35:12.4562555Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4562882Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4562967Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4563228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4563292Z     x = stage(x)
2025-11-03T16:35:12.4563553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4563686Z     out = self.conv1(x)
2025-11-03T16:35:12.4563924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4563997Z     x = F.conv2d(
2025-11-03T16:35:12.4564000Z 
2025-11-03T16:35:12.4564112Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4564443Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4564538Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4564798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4564869Z     x = stage(x)
2025-11-03T16:35:12.4565128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4565200Z     out = F.relu_(out)
2025-11-03T16:35:12.4565213Z 
2025-11-03T16:35:12.4565325Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4565656Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4565751Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4566013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4566088Z     x = stage(x)
2025-11-03T16:35:12.4566348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4566420Z     out = self.conv2(out)
2025-11-03T16:35:12.4566665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4566729Z     x = F.conv2d(
2025-11-03T16:35:12.4566732Z 
2025-11-03T16:35:12.4566890Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4567214Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4567301Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4567563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4567627Z     x = stage(x)
2025-11-03T16:35:12.4567892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4567959Z     out = F.relu_(out)
2025-11-03T16:35:12.4567963Z 
2025-11-03T16:35:12.4568079Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4568405Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4568495Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4568758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4568822Z     x = stage(x)
2025-11-03T16:35:12.4569083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4569154Z     out = self.conv3(out)
2025-11-03T16:35:12.4569389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4569462Z     x = F.conv2d(
2025-11-03T16:35:12.4569465Z 
2025-11-03T16:35:12.4569576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4569905Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4569994Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4570305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4570371Z     x = stage(x)
2025-11-03T16:35:12.4570629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4570706Z     out = F.relu_(out)
2025-11-03T16:35:12.4570710Z 
2025-11-03T16:35:12.4570820Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4571155Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4571243Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4571500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4571572Z     x = stage(x)
2025-11-03T16:35:12.4571833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4571912Z     out = self.conv1(x)
2025-11-03T16:35:12.4572147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4572219Z     x = F.conv2d(
2025-11-03T16:35:12.4572222Z 
2025-11-03T16:35:12.4572331Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4572656Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4572750Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4573005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4573076Z     x = stage(x)
2025-11-03T16:35:12.4573370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4573442Z     out = F.relu_(out)
2025-11-03T16:35:12.4573446Z 
2025-11-03T16:35:12.4573564Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4573893Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4573985Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4574246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4574318Z     x = stage(x)
2025-11-03T16:35:12.4574580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4574652Z     out = self.conv2(out)
2025-11-03T16:35:12.4574900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4574969Z     x = F.conv2d(
2025-11-03T16:35:12.4574972Z 
2025-11-03T16:35:12.4575090Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4575419Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4575505Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4575776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4575840Z     x = stage(x)
2025-11-03T16:35:12.4576107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4576174Z     out = F.relu_(out)
2025-11-03T16:35:12.4576177Z 
2025-11-03T16:35:12.4576297Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4576627Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4576759Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4577023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4577088Z     x = stage(x)
2025-11-03T16:35:12.4577349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4577421Z     out = self.conv3(out)
2025-11-03T16:35:12.4577654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4577728Z     x = F.conv2d(
2025-11-03T16:35:12.4577731Z 
2025-11-03T16:35:12.4577841Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4578175Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4578266Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4578523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4578597Z     x = stage(x)
2025-11-03T16:35:12.4578850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4578926Z     out = F.relu_(out)
2025-11-03T16:35:12.4578929Z 
2025-11-03T16:35:12.4579038Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4579365Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4579451Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4579741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4579821Z     x = stage(x)
2025-11-03T16:35:12.4580078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4580156Z     out = self.conv1(x)
2025-11-03T16:35:12.4580391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4580456Z     x = F.conv2d(
2025-11-03T16:35:12.4580459Z 
2025-11-03T16:35:12.4580577Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4580902Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4580996Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4581254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4581327Z     x = stage(x)
2025-11-03T16:35:12.4581593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4581663Z     out = F.relu_(out)
2025-11-03T16:35:12.4581666Z 
2025-11-03T16:35:12.4581787Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4582112Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4582206Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4582468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4582534Z     x = stage(x)
2025-11-03T16:35:12.4582806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4582878Z     out = self.conv2(out)
2025-11-03T16:35:12.4583132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4583241Z     x = F.conv2d(
2025-11-03T16:35:12.4583244Z 
2025-11-03T16:35:12.4583366Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4583710Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4583814Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4584092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4584158Z     x = stage(x)
2025-11-03T16:35:12.4584438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4584508Z     out = F.relu_(out)
2025-11-03T16:35:12.4584511Z 
2025-11-03T16:35:12.4584711Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4585071Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4585161Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4585434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4585501Z     x = stage(x)
2025-11-03T16:35:12.4585775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4585852Z     out = self.conv3(out)
2025-11-03T16:35:12.4586296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4586386Z     x = F.conv2d(
2025-11-03T16:35:12.4586390Z 
2025-11-03T16:35:12.4586505Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4586945Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4587041Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4587306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4587383Z     x = stage(x)
2025-11-03T16:35:12.4587649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4587726Z     out = F.relu_(out)
2025-11-03T16:35:12.4587730Z 
2025-11-03T16:35:12.4587842Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4588191Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4588281Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4588550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4588629Z     x = stage(x)
2025-11-03T16:35:12.4588897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4588976Z     out = self.conv1(x)
2025-11-03T16:35:12.4589221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4589290Z     x = F.conv2d(
2025-11-03T16:35:12.4589293Z 
2025-11-03T16:35:12.4589416Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4589752Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4589848Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4590117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4590243Z     x = stage(x)
2025-11-03T16:35:12.4590518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4590588Z     out = F.relu_(out)
2025-11-03T16:35:12.4590592Z 
2025-11-03T16:35:12.4590712Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4591052Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4591149Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4591417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4591484Z     x = stage(x)
2025-11-03T16:35:12.4591761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4591836Z     out = self.conv2(out)
2025-11-03T16:35:12.4592090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4592157Z     x = F.conv2d(
2025-11-03T16:35:12.4592160Z 
2025-11-03T16:35:12.4592273Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4592636Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4592727Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4593014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4593080Z     x = stage(x)
2025-11-03T16:35:12.4593413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4593482Z     out = F.relu_(out)
2025-11-03T16:35:12.4593519Z 
2025-11-03T16:35:12.4593637Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4593993Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4594083Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4594367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4594433Z     x = stage(x)
2025-11-03T16:35:12.4594710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4594790Z     out = self.conv3(out)
2025-11-03T16:35:12.4595043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4595118Z     x = F.conv2d(
2025-11-03T16:35:12.4595121Z 
2025-11-03T16:35:12.4595237Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4595582Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4595672Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4595949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4596026Z     x = stage(x)
2025-11-03T16:35:12.4596303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4596381Z     out = F.relu_(out)
2025-11-03T16:35:12.4596384Z 
2025-11-03T16:35:12.4596499Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4596847Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4596947Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4597307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4597382Z     x = stage(x)
2025-11-03T16:35:12.4597663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:12.4597742Z     out = self.conv1(x)
2025-11-03T16:35:12.4597997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4598066Z     x = F.conv2d(
2025-11-03T16:35:12.4598069Z 
2025-11-03T16:35:12.4598191Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4598539Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4598636Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4598915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4598983Z     x = stage(x)
2025-11-03T16:35:12.4599269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:12.4599339Z     out = F.relu_(out)
2025-11-03T16:35:12.4599343Z 
2025-11-03T16:35:12.4599463Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4599800Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4599894Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4600196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4600261Z     x = stage(x)
2025-11-03T16:35:12.4600564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:12.4600641Z     out = self.conv2(out)
2025-11-03T16:35:12.4600897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4600962Z     x = F.conv2d(
2025-11-03T16:35:12.4600965Z 
2025-11-03T16:35:12.4601140Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4601474Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4601559Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4601823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4601887Z     x = stage(x)
2025-11-03T16:35:12.4602150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:12.4602221Z     out = F.relu_(out)
2025-11-03T16:35:12.4602224Z 
2025-11-03T16:35:12.4602335Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4602673Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4602761Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4603033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4603101Z     x = stage(x)
2025-11-03T16:35:12.4603363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:12.4603445Z     out = self.conv3(out)
2025-11-03T16:35:12.4603687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:12.4603765Z     x = F.conv2d(
2025-11-03T16:35:12.4603813Z 
2025-11-03T16:35:12.4603929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:12.4604275Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:12.4604368Z     features = self.backbone(images.tensor)
2025-11-03T16:35:12.4604639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:12.4604713Z     x = stage(x)
2025-11-03T16:35:12.4604973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:12.4605049Z     out = F.relu_(out)
2025-11-03T16:35:12.4605052Z 
2025-11-03T16:35:19.9376337Z cudagraph partition due to non gpu ops
2025-11-03T16:35:19.9376701Z cudagraph partition due to non gpu ops
2025-11-03T16:35:19.9376948Z cudagraph partition due to non gpu ops
2025-11-03T16:35:19.9377242Z cudagraph partition due to non gpu ops
2025-11-03T16:35:19.9377484Z cudagraph partition due to non gpu ops
2025-11-03T16:35:19.9377721Z cudagraph partition due to non gpu ops
2025-11-03T16:35:19.9378010Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:19.9379267Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:35:19.9379844Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:35:19.9380390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:35:19.9380837Z     t = self.conv(x)
2025-11-03T16:35:19.9381228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:19.9381631Z     x = F.conv2d(
2025-11-03T16:35:19.9381743Z 
2025-11-03T16:35:19.9382266Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:19.9382771Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:35:19.9383304Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:35:19.9383839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:35:19.9384281Z     t = self.conv(x)
2025-11-03T16:35:19.9384884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:35:19.9385302Z     x = self.activation(x)
2025-11-03T16:35:19.9385445Z 
2025-11-03T16:35:19.9385568Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:19.9386065Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:35:19.9386907Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:35:19.9387441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:35:19.9387943Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:35:19.9388183Z 
2025-11-03T16:35:19.9388307Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:19.9388798Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:35:19.9389320Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:35:19.9389856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:35:19.9390335Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:35:19.9390525Z 
2025-11-03T16:35:19.9390642Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:19.9391234Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:35:19.9391708Z     anchors = self.anchor_generator(features)
2025-11-03T16:35:19.9392152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:35:19.9392680Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:35:19.9393236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:35:19.9393740Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:35:19.9393940Z 
2025-11-03T16:35:19.9394068Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:19.9394561Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:35:19.9395015Z     pred_objectness_logits = [
2025-11-03T16:35:19.9395461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:35:19.9395935Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:35:19.9396084Z 
2025-11-03T16:35:19.9396226Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:19.9396712Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:35:19.9397156Z     pred_anchor_deltas = [
2025-11-03T16:35:19.9397615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:35:19.9398080Z     .flatten(1, -2)
2025-11-03T16:35:19.9398194Z 
2025-11-03T16:35:19.9398316Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:19.9398873Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:35:19.9399355Z     anchors = self.anchor_generator(features)
2025-11-03T16:35:19.9399796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:35:19.9400318Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:35:19.9400841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:35:19.9401392Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:35:19.9401629Z 
2025-11-03T16:35:21.6527288Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:21.6527967Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:35:21.6528589Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:35:21.6529192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:35:21.6529785Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:35:21.6530313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:35:21.6530786Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:35:21.6530956Z 
2025-11-03T16:35:22.7290155Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:22.7290934Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:35:22.7291455Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:35:22.7291700Z 
2025-11-03T16:35:22.7291844Z cudagraph partition due to non gpu ops
2025-11-03T16:35:22.7292533Z cudagraph partition due to non gpu ops
2025-11-03T16:35:22.7292757Z cudagraph partition due to non gpu ops
2025-11-03T16:35:22.7292991Z cudagraph partition due to non gpu ops
2025-11-03T16:35:22.7293264Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:22.7293683Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:35:22.7294086Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:35:22.7294253Z 
2025-11-03T16:35:23.5221376Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:23.5221957Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:35:23.5222456Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:35:23.5222659Z 
2025-11-03T16:35:24.2033583Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:24.2034216Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__
2025-11-03T16:35:24.2034656Z     b = self.tensor[item]
2025-11-03T16:35:24.2034788Z 
2025-11-03T16:35:24.9277858Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:24.9278407Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:35:24.9279078Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:35:24.9279459Z 
2025-11-03T16:35:24.9279766Z cudagraph partition due to non gpu ops
2025-11-03T16:35:24.9280052Z cudagraph partition due to non gpu ops
2025-11-03T16:35:24.9280423Z cudagraph partition due to non gpu ops
2025-11-03T16:35:24.9280671Z cudagraph partition due to non gpu ops
2025-11-03T16:35:24.9281074Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:24.9282073Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:35:24.9282539Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:35:24.9282721Z 
2025-11-03T16:35:25.6833785Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:25.6834355Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:35:25.6834868Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:35:25.6835136Z 
2025-11-03T16:35:25.6835241Z cudagraph partition due to non gpu ops
2025-11-03T16:35:25.6835497Z cudagraph partition due to non gpu ops
2025-11-03T16:35:25.6835741Z cudagraph partition due to non gpu ops
2025-11-03T16:35:25.6835988Z cudagraph partition due to non gpu ops
2025-11-03T16:35:25.6836394Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:25.6836875Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:35:25.6837330Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:35:25.6837507Z 
2025-11-03T16:35:26.3613605Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:26.3614194Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__
2025-11-03T16:35:26.3614630Z     b = self.tensor[item]
2025-11-03T16:35:26.3614764Z 
2025-11-03T16:35:27.7260272Z cudagraph partition due to non gpu ops
2025-11-03T16:35:27.7260616Z cudagraph partition due to non gpu ops
2025-11-03T16:35:27.7260851Z cudagraph partition due to non gpu ops
2025-11-03T16:35:27.7261079Z cudagraph partition due to non gpu ops
2025-11-03T16:35:27.7261356Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:27.7261890Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:35:27.7262431Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:35:27.7263455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:35:27.7263892Z     return torch.as_tensor(x, device=device)
2025-11-03T16:35:27.7264052Z 
2025-11-03T16:35:27.7264181Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:27.7265005Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:35:27.7270164Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:35:27.7270355Z 
2025-11-03T16:35:28.3414100Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:28.3414923Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 67, in _convert_boxes_to_pooler_format
2025-11-03T16:35:28.3415520Z     torch.arange(len(sizes), dtype=boxes.dtype, device=boxes.device), sizes
2025-11-03T16:35:28.3415770Z 
2025-11-03T16:35:28.8946055Z cudagraph partition due to non gpu ops
2025-11-03T16:35:28.8946395Z cudagraph partition due to non gpu ops
2025-11-03T16:35:28.8946672Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:28.8947270Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66
2025-11-03T16:35:28.8947839Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:35:28.8948307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:35:28.8948820Z     return torch.cat(tensors, dim)
2025-11-03T16:35:28.8948994Z 
2025-11-03T16:35:29.4883330Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:29.4883989Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243
2025-11-03T16:35:29.4885030Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:35:29.4885496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:35:29.4885902Z     return roi_align(
2025-11-03T16:35:29.4888938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:35:29.4889607Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:35:29.4889785Z 
2025-11-03T16:35:29.4889919Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:29.4890522Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243
2025-11-03T16:35:29.4891054Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:35:29.4891506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:35:29.4891931Z     return roi_align(
2025-11-03T16:35:29.4892325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:35:29.4892751Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:35:29.4892929Z 
2025-11-03T16:35:33.6948258Z cudagraph partition due to non gpu ops
2025-11-03T16:35:33.6948626Z cudagraph partition due to non gpu ops
2025-11-03T16:35:33.6948870Z cudagraph partition due to non gpu ops
2025-11-03T16:35:33.6949148Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6949797Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6950320Z     return self.res5(x)
2025-11-03T16:35:33.6950753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:33.6951226Z     out = self.conv1(x)
2025-11-03T16:35:33.6951942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:33.6952300Z     x = F.conv2d(
2025-11-03T16:35:33.6952405Z 
2025-11-03T16:35:33.6952520Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6953037Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6953510Z     return self.res5(x)
2025-11-03T16:35:33.6953999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:33.6954383Z     out = F.relu_(out)
2025-11-03T16:35:33.6954492Z 
2025-11-03T16:35:33.6954600Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6955114Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6955584Z     return self.res5(x)
2025-11-03T16:35:33.6955940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:33.6956377Z     out = self.conv2(out)
2025-11-03T16:35:33.6956716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:33.6957068Z     x = F.conv2d(
2025-11-03T16:35:33.6957172Z 
2025-11-03T16:35:33.6957279Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6957786Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6958247Z     return self.res5(x)
2025-11-03T16:35:33.6958593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:33.6959058Z     out = F.relu_(out)
2025-11-03T16:35:33.6959174Z 
2025-11-03T16:35:33.6959281Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6959789Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6960253Z     return self.res5(x)
2025-11-03T16:35:33.6960598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:33.6960980Z     out = self.conv3(out)
2025-11-03T16:35:33.6961324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:33.6961672Z     x = F.conv2d(
2025-11-03T16:35:33.6961767Z 
2025-11-03T16:35:33.6961873Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6962380Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6962844Z     return self.res5(x)
2025-11-03T16:35:33.6963199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:35:33.6963581Z     shortcut = self.shortcut(x)
2025-11-03T16:35:33.6963927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:33.6964276Z     x = F.conv2d(
2025-11-03T16:35:33.6964379Z 
2025-11-03T16:35:33.6964485Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6965016Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6965478Z     return self.res5(x)
2025-11-03T16:35:33.6965832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:33.6966235Z     out = self.conv1(x)
2025-11-03T16:35:33.6966570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:33.6966918Z     x = F.conv2d(
2025-11-03T16:35:33.6967015Z 
2025-11-03T16:35:33.6967120Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6967629Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6968145Z     return self.res5(x)
2025-11-03T16:35:33.6968490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:33.6968864Z     out = F.relu_(out)
2025-11-03T16:35:33.6968975Z 
2025-11-03T16:35:33.6969079Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6969580Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6970048Z     return self.res5(x)
2025-11-03T16:35:33.6970394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:33.6970771Z     out = self.conv2(out)
2025-11-03T16:35:33.6971114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:33.6971495Z     x = F.conv2d(
2025-11-03T16:35:33.6971593Z 
2025-11-03T16:35:33.6971703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6972251Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6972742Z     return self.res5(x)
2025-11-03T16:35:33.6973117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:33.6973480Z     out = F.relu_(out)
2025-11-03T16:35:33.6973579Z 
2025-11-03T16:35:33.6973679Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6974176Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6974643Z     return self.res5(x)
2025-11-03T16:35:33.6974982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:33.6975348Z     out = self.conv3(out)
2025-11-03T16:35:33.6975671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:33.6976016Z     x = F.conv2d(
2025-11-03T16:35:33.6976108Z 
2025-11-03T16:35:33.6976233Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6976723Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6977166Z     return self.res5(x)
2025-11-03T16:35:33.6977512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:33.6977886Z     out = F.relu_(out)
2025-11-03T16:35:33.6977988Z 
2025-11-03T16:35:33.6978099Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6978607Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6979060Z     return self.res5(x)
2025-11-03T16:35:33.6979414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:33.6979793Z     out = self.conv1(x)
2025-11-03T16:35:33.6980143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:33.6980491Z     x = F.conv2d(
2025-11-03T16:35:33.6980585Z 
2025-11-03T16:35:33.6980689Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6981196Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6981683Z     return self.res5(x)
2025-11-03T16:35:33.6982080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:33.6982484Z     out = F.relu_(out)
2025-11-03T16:35:33.6982590Z 
2025-11-03T16:35:33.6982700Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6983237Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6983729Z     return self.res5(x)
2025-11-03T16:35:33.6984098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:33.6984500Z     out = self.conv2(out)
2025-11-03T16:35:33.6985064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:33.6985452Z     x = F.conv2d(
2025-11-03T16:35:33.6985554Z 
2025-11-03T16:35:33.6985679Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6986461Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6986962Z     return self.res5(x)
2025-11-03T16:35:33.6987414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:33.6987817Z     out = F.relu_(out)
2025-11-03T16:35:33.6987926Z 
2025-11-03T16:35:33.6988045Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6988573Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6989055Z     return self.res5(x)
2025-11-03T16:35:33.6989429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:33.6989827Z     out = self.conv3(out)
2025-11-03T16:35:33.6990186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:33.6990549Z     x = F.conv2d(
2025-11-03T16:35:33.6990657Z 
2025-11-03T16:35:33.6990768Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:33.6991308Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:35:33.6991796Z     return self.res5(x)
2025-11-03T16:35:33.6992164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:33.6992551Z     out = F.relu_(out)
2025-11-03T16:35:33.6992666Z 
2025-11-03T16:35:38.5625894Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:38.5626562Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477
2025-11-03T16:35:38.5627182Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:35:38.5627714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:35:38.5628164Z     scores = self.cls_score(x)
2025-11-03T16:35:38.5628305Z 
2025-11-03T16:35:38.5628823Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:38.5629421Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477
2025-11-03T16:35:38.5629984Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:35:38.5630506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:35:38.5630956Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:35:38.5631220Z 
2025-11-03T16:35:40.1118967Z cudagraph partition due to non gpu ops
2025-11-03T16:35:40.1123255Z cudagraph partition due to non gpu ops
2025-11-03T16:35:40.1123730Z cudagraph partition due to non gpu ops
2025-11-03T16:35:40.1124098Z cudagraph partition due to non gpu ops
2025-11-03T16:35:40.1124461Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:40.1125669Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:35:40.1126247Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:35:40.1126758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:35:40.1127323Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:35:40.1127896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:35:40.1128310Z     return torch.cat(tensors, dim)
2025-11-03T16:35:40.1128465Z 
2025-11-03T16:35:40.1128590Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:40.1129067Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:35:40.1129532Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:35:40.1130433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:35:40.1130922Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:35:40.1131417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:35:40.1131869Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:35:40.1132039Z 
2025-11-03T16:35:41.5621121Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:41.5624727Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image
2025-11-03T16:35:41.5625412Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:35:41.5625674Z 
2025-11-03T16:35:41.5625816Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:41.5626409Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image
2025-11-03T16:35:41.5627041Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:35:41.5627280Z 
2025-11-03T16:35:41.5627398Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:41.5627912Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 138, in fast_rcnn_inference_single_image
2025-11-03T16:35:41.5628408Z     if not valid_mask.all():
2025-11-03T16:35:41.5628538Z 
2025-11-03T16:35:42.4023599Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:42.4029254Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:35:42.4033828Z     boxes.clip(image_shape)
2025-11-03T16:35:42.4039101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:35:42.4040460Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:35:42.4040730Z 
2025-11-03T16:35:42.4041339Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:42.4042020Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 151, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:35:42.4042840Z     filter_mask = scores > score_thresh  # R x K
2025-11-03T16:35:42.4043035Z 
2025-11-03T16:35:42.4043136Z cudagraph partition due to non gpu ops
2025-11-03T16:35:42.4043380Z cudagraph partition due to non gpu ops
2025-11-03T16:35:42.4043609Z cudagraph partition due to non gpu ops
2025-11-03T16:35:42.4043829Z cudagraph partition due to non gpu ops
2025-11-03T16:35:42.4044108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:42.4044676Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:35:42.4045218Z     boxes.clip(image_shape)
2025-11-03T16:35:42.4045633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:35:42.4046030Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:35:42.4046200Z 
2025-11-03T16:35:43.7539659Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:43.7540316Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:35:43.7540779Z     max_coordinate = boxes.max()
2025-11-03T16:35:43.7540931Z 
2025-11-03T16:35:43.7541054Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:43.7541968Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:35:43.7542438Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:35:43.7542591Z 
2025-11-03T16:35:44.5107566Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:44.5108393Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:35:44.5109057Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:35:44.5109329Z 
2025-11-03T16:35:44.5109457Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:44.5110073Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:35:44.5110719Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:35:44.5110947Z 
2025-11-03T16:35:44.5111073Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:44.5111667Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:35:44.5112287Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:35:44.5112506Z 
2025-11-03T16:35:45.4913079Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:45.4916568Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:35:45.4917212Z     boxes.clip(image_shape)
2025-11-03T16:35:45.4917622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:35:45.4918149Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:35:45.4918759Z 
2025-11-03T16:35:45.4918888Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:45.4919496Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 151, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:35:45.4920078Z     filter_mask = scores > score_thresh  # R x K
2025-11-03T16:35:45.4920246Z 
2025-11-03T16:35:45.4920356Z cudagraph partition due to non gpu ops
2025-11-03T16:35:45.4920604Z cudagraph partition due to non gpu ops
2025-11-03T16:35:45.4920926Z cudagraph partition due to non gpu ops
2025-11-03T16:35:45.4921152Z cudagraph partition due to non gpu ops
2025-11-03T16:35:45.4921410Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:45.4921995Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:35:45.4922534Z     boxes.clip(image_shape)
2025-11-03T16:35:45.4922905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:35:45.4923329Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:35:45.4923499Z 
2025-11-03T16:35:46.9190778Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.9191390Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:35:46.9191891Z     max_coordinate = boxes.max()
2025-11-03T16:35:46.9192039Z 
2025-11-03T16:35:46.9192166Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.9192648Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:35:46.9193111Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:35:46.9193274Z 
2025-11-03T16:35:48.4084486Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:48.4085248Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:35:48.4085927Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:35:48.4086378Z 
2025-11-03T16:35:48.4086512Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:48.4087131Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:35:48.4087792Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:35:48.4088008Z 
2025-11-03T16:35:48.4088167Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:48.4088774Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:35:48.4089409Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:35:48.4089634Z 
2025-11-03T16:35:49.6725640Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:49.6726254Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image
2025-11-03T16:35:49.6726809Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:35:49.6727076Z 
2025-11-03T16:35:49.6727199Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:49.6727690Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image
2025-11-03T16:35:49.6728229Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:35:49.6728846Z 
2025-11-03T16:35:49.6728958Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:49.6729451Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 138, in fast_rcnn_inference_single_image
2025-11-03T16:35:49.6729915Z     if not valid_mask.all():
2025-11-03T16:35:49.6730039Z 
2025-11-03T16:35:51.8185683Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:51.8190435Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:35:51.8191945Z     boxes.clip(image_shape)
2025-11-03T16:35:51.8192445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:35:51.8192943Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:35:51.8193225Z 
2025-11-03T16:35:51.8193351Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:51.8193948Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 151, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:35:51.8194518Z     filter_mask = scores > score_thresh  # R x K
2025-11-03T16:35:51.8194691Z 
2025-11-03T16:35:51.8194793Z cudagraph partition due to non gpu ops
2025-11-03T16:35:51.8195038Z cudagraph partition due to non gpu ops
2025-11-03T16:35:51.8195277Z cudagraph partition due to non gpu ops
2025-11-03T16:35:51.8195508Z cudagraph partition due to non gpu ops
2025-11-03T16:35:51.8195773Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:51.8196350Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:35:51.8197727Z     boxes.clip(image_shape)
2025-11-03T16:35:51.8198134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:35:51.8198566Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:35:51.8198736Z 
2025-11-03T16:35:53.8681229Z cudagraph partition due to non gpu ops
2025-11-03T16:35:53.8681620Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:53.8682161Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:35:53.8682659Z     output_boxes.clip(results.image_size)
2025-11-03T16:35:53.8683063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:35:53.8683544Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:35:53.8683781Z 
2025-11-03T16:35:53.8683893Z cudagraph partition due to non gpu ops
2025-11-03T16:35:53.8684137Z cudagraph partition due to non gpu ops
2025-11-03T16:35:53.8684396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:53.8684892Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:35:53.8685380Z     output_boxes.clip(results.image_size)
2025-11-03T16:35:53.8685771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:35:53.8686511Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:35:53.8686691Z 
2025-11-03T16:35:53.8686808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:53.8687289Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:35:53.8687754Z     results = results[output_boxes.nonempty()]
2025-11-03T16:35:53.8688163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:35:53.8688918Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:35:53.8689086Z 
2025-11-03T16:35:58.2767039Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:58.2767654Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:35:58.2768133Z     results = results[output_boxes.nonempty()]
2025-11-03T16:35:58.2768289Z 
2025-11-03T16:35:58.2768838Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:58.2769309Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:35:58.2769756Z     results = results[output_boxes.nonempty()]
2025-11-03T16:35:58.2769905Z 
2025-11-03T16:35:58.2770004Z cudagraph partition due to non gpu ops
2025-11-03T16:35:58.2770280Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:58.2770794Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:35:58.2771233Z     output_boxes.clip(results.image_size)
2025-11-03T16:35:58.2771609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:35:58.2772066Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:35:58.2772290Z 
2025-11-03T16:35:58.2772384Z cudagraph partition due to non gpu ops
2025-11-03T16:35:58.2772608Z cudagraph partition due to non gpu ops
2025-11-03T16:35:58.2772866Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:58.2773343Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:35:58.2773799Z     output_boxes.clip(results.image_size)
2025-11-03T16:35:58.2774308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:35:58.2774734Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:35:58.2774910Z 
2025-11-03T16:35:58.2775025Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:58.2775500Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:35:58.2775958Z     results = results[output_boxes.nonempty()]
2025-11-03T16:35:58.2776364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:35:58.2776790Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:35:58.2776966Z 
2025-11-03T16:36:01.8127563Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:01.8128458Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:36:01.8128998Z     results = results[output_boxes.nonempty()]
2025-11-03T16:36:01.8129202Z 
2025-11-03T16:36:01.8129884Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:01.8130498Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:36:01.8131019Z     results = results[output_boxes.nonempty()]
2025-11-03T16:36:01.8131188Z 
2025-11-03T16:36:01.8131285Z cudagraph partition due to non gpu ops
2025-11-03T16:36:01.8131591Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:01.8132103Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:36:01.8132577Z     output_boxes.clip(results.image_size)
2025-11-03T16:36:01.8132986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:36:01.8133822Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:36:01.8134068Z 
2025-11-03T16:36:01.8134161Z cudagraph partition due to non gpu ops
2025-11-03T16:36:01.8134420Z cudagraph partition due to non gpu ops
2025-11-03T16:36:01.8134684Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:01.8135172Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:36:01.8135690Z     output_boxes.clip(results.image_size)
2025-11-03T16:36:01.8136179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:36:01.8136632Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:36:01.8136802Z 
2025-11-03T16:36:01.8136922Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:01.8137496Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:36:01.8138025Z     results = results[output_boxes.nonempty()]
2025-11-03T16:36:01.8138462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:36:01.8138892Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:36:01.8139059Z 
2025-11-03T16:36:09.4972394Z Compilation time (from dynamo_timed): 71.330624414
2025-11-03T16:36:09.4972768Z pass
2025-11-03T16:36:09.4973100Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:36:09.4974009Z TIMING: gc:0.05583 entire_frame_compile:71.33062 _recursive_pre_grad_passes:0.03324 _recursive_joint_graph_passes:0.33479 _recursive_post_grad_passes:0.78892 async_compile.wait:16.8231 code_gen:31.93616 inductor_compile:38.52923 backend_compile:49.62793 total_wall_time:71.33062
2025-11-03T16:36:09.4975571Z STATS: call_* op count: 776 | FakeTensorMode.__torch_dispatch__:21711 | FakeTensor.__torch_dispatch__:13685 | ProxyTorchDispatchMode.__torch_dispatch__:6753 | attempt fast:78 | slow no contiguity match:42 | fast is_contiguous:36
2025-11-03T16:36:09.4976308Z Dynamo produced 53 graphs covering 776 ops with 42 graph breaks (6 unique)
2025-11-03T16:36:13.1452083Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:36:13.1453041Z   import pynvml  # type: ignore[import]
2025-11-03T16:36:15.4260780Z 
2025-11-03T16:36:22.6611398Z loading model: 0it [00:00, ?it/s]W1103 16:36:22.659000 15118 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:36:26.0517910Z 
2025-11-03T16:36:26.0518854Z loading model: 0it [00:10, ?it/s]
2025-11-03T16:36:26.0535293Z cpu  eval  detectron2_fasterrcnn_r_101_dc5    
2025-11-03T16:36:44.0998466Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_101_dc5. Setting accuracy check to cosine
2025-11-03T16:36:44.1132203Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:36:55.5142716Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:37:07.1597228Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:37:35.0373279Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0376540Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0377112Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0377531Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0378283Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0379123Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0379607Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0380199Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0380431Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0380675Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0380907Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0381140Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0381876Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0382113Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0382344Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0382574Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0382801Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0385109Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0385742Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0386014Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0386392Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0386706Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0386980Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0387215Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0387446Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0387685Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0387906Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0388141Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0388369Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0388597Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0388821Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0389059Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0389289Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0389768Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0389999Z cudagraph partition due to non gpu ops
2025-11-03T16:37:35.0390274Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0390864Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0391392Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0391849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:37:35.0392274Z     x = self.stem(x)
2025-11-03T16:37:35.0392670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:37:35.0393086Z     x = self.conv1(x)
2025-11-03T16:37:35.0393453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0393830Z     x = F.conv2d(
2025-11-03T16:37:35.0393947Z 
2025-11-03T16:37:35.0394065Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0394598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0395083Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0395508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:37:35.0395909Z     x = self.stem(x)
2025-11-03T16:37:35.0396287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:37:35.0396686Z     x = F.relu_(x)
2025-11-03T16:37:35.0396801Z 
2025-11-03T16:37:35.0396923Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0397438Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0397973Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0398390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:37:35.0398802Z     x = self.stem(x)
2025-11-03T16:37:35.0399179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:37:35.0399665Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:37:35.0399884Z 
2025-11-03T16:37:35.0399997Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0400507Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0400990Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0401402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0401831Z     x = stage(x)
2025-11-03T16:37:35.0402190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0402586Z     out = self.conv1(x)
2025-11-03T16:37:35.0402944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0403315Z     x = F.conv2d(
2025-11-03T16:37:35.0403418Z 
2025-11-03T16:37:35.0403531Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0404040Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0404534Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0404956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0405405Z     x = stage(x)
2025-11-03T16:37:35.0405776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0406199Z     out = F.relu_(out)
2025-11-03T16:37:35.0406321Z 
2025-11-03T16:37:35.0406439Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0406963Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0407458Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0407873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0408277Z     x = stage(x)
2025-11-03T16:37:35.0408642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0409051Z     out = self.conv2(out)
2025-11-03T16:37:35.0409421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0409805Z     x = F.conv2d(
2025-11-03T16:37:35.0409919Z 
2025-11-03T16:37:35.0410033Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0410547Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0411037Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0411450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0411853Z     x = stage(x)
2025-11-03T16:37:35.0412218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0412631Z     out = F.relu_(out)
2025-11-03T16:37:35.0412743Z 
2025-11-03T16:37:35.0412867Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0413454Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0413950Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0414373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0414780Z     x = stage(x)
2025-11-03T16:37:35.0415143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0415596Z     out = self.conv3(out)
2025-11-03T16:37:35.0415970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0416358Z     x = F.conv2d(
2025-11-03T16:37:35.0416460Z 
2025-11-03T16:37:35.0416581Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0417095Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0417592Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0418013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0418423Z     x = stage(x)
2025-11-03T16:37:35.0418795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:37:35.0419212Z     shortcut = self.shortcut(x)
2025-11-03T16:37:35.0419587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0419972Z     x = F.conv2d(
2025-11-03T16:37:35.0420072Z 
2025-11-03T16:37:35.0420195Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0420746Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0421249Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0421680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0422095Z     x = stage(x)
2025-11-03T16:37:35.0422464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0422867Z     out = self.conv1(x)
2025-11-03T16:37:35.0423232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0423609Z     x = F.conv2d(
2025-11-03T16:37:35.0423714Z 
2025-11-03T16:37:35.0423835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0424355Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0425047Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0425483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0425891Z     x = stage(x)
2025-11-03T16:37:35.0426267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0426682Z     out = F.relu_(out)
2025-11-03T16:37:35.0426795Z 
2025-11-03T16:37:35.0426914Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0427436Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0427940Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0428373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0428801Z     x = stage(x)
2025-11-03T16:37:35.0429170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0429578Z     out = self.conv2(out)
2025-11-03T16:37:35.0429949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0430326Z     x = F.conv2d(
2025-11-03T16:37:35.0430427Z 
2025-11-03T16:37:35.0430541Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0431088Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0431592Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0432015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0432418Z     x = stage(x)
2025-11-03T16:37:35.0432787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0433196Z     out = F.relu_(out)
2025-11-03T16:37:35.0433315Z 
2025-11-03T16:37:35.0433428Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0433947Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0434430Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0434857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0435269Z     x = stage(x)
2025-11-03T16:37:35.0435637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0436053Z     out = self.conv3(out)
2025-11-03T16:37:35.0436451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0436851Z     x = F.conv2d(
2025-11-03T16:37:35.0436958Z 
2025-11-03T16:37:35.0437071Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0437598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0438108Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0438524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0439016Z     x = stage(x)
2025-11-03T16:37:35.0439387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0439803Z     out = F.relu_(out)
2025-11-03T16:37:35.0439914Z 
2025-11-03T16:37:35.0440029Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0440551Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0441047Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0441470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0441881Z     x = stage(x)
2025-11-03T16:37:35.0442244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0442652Z     out = self.conv1(x)
2025-11-03T16:37:35.0443014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0443393Z     x = F.conv2d(
2025-11-03T16:37:35.0443494Z 
2025-11-03T16:37:35.0443613Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0444128Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0444650Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0445078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0445469Z     x = stage(x)
2025-11-03T16:37:35.0445821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0446234Z     out = F.relu_(out)
2025-11-03T16:37:35.0446349Z 
2025-11-03T16:37:35.0446459Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0446964Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0447456Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0447874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0448282Z     x = stage(x)
2025-11-03T16:37:35.0448642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0449050Z     out = self.conv2(out)
2025-11-03T16:37:35.0449411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0449774Z     x = F.conv2d(
2025-11-03T16:37:35.0449885Z 
2025-11-03T16:37:35.0449994Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0450498Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0450979Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0451416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0451813Z     x = stage(x)
2025-11-03T16:37:35.0452177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0452573Z     out = F.relu_(out)
2025-11-03T16:37:35.0452682Z 
2025-11-03T16:37:35.0452799Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0453326Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0453814Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0454228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0454623Z     x = stage(x)
2025-11-03T16:37:35.0454987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0455386Z     out = self.conv3(out)
2025-11-03T16:37:35.0455755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0456148Z     x = F.conv2d(
2025-11-03T16:37:35.0456252Z 
2025-11-03T16:37:35.0456371Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0456885Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0457386Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0457811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0458225Z     x = stage(x)
2025-11-03T16:37:35.0458595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0459004Z     out = F.relu_(out)
2025-11-03T16:37:35.0459150Z 
2025-11-03T16:37:35.0459264Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0459784Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0460281Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0460703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0461102Z     x = stage(x)
2025-11-03T16:37:35.0461494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0461910Z     out = self.conv1(x)
2025-11-03T16:37:35.0462272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0462653Z     x = F.conv2d(
2025-11-03T16:37:35.0462762Z 
2025-11-03T16:37:35.0462877Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0463401Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0463904Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0464333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0464826Z     x = stage(x)
2025-11-03T16:37:35.0465212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0465625Z     out = F.relu_(out)
2025-11-03T16:37:35.0465737Z 
2025-11-03T16:37:35.0465859Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0466379Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0466928Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0467365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0467771Z     x = stage(x)
2025-11-03T16:37:35.0468144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0468553Z     out = self.conv2(out)
2025-11-03T16:37:35.0468921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0469303Z     x = F.conv2d(
2025-11-03T16:37:35.0469404Z 
2025-11-03T16:37:35.0469528Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0470048Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0470545Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0470985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0471388Z     x = stage(x)
2025-11-03T16:37:35.0471758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0472173Z     out = F.relu_(out)
2025-11-03T16:37:35.0472282Z 
2025-11-03T16:37:35.0472397Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0472911Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0473409Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0473833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0474242Z     x = stage(x)
2025-11-03T16:37:35.0474612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0475044Z     out = self.conv3(out)
2025-11-03T16:37:35.0475414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0475805Z     x = F.conv2d(
2025-11-03T16:37:35.0475908Z 
2025-11-03T16:37:35.0476025Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0476543Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0477061Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0477480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0477897Z     x = stage(x)
2025-11-03T16:37:35.0478270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:37:35.0478695Z     shortcut = self.shortcut(x)
2025-11-03T16:37:35.0479076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0479465Z     x = F.conv2d(
2025-11-03T16:37:35.0479569Z 
2025-11-03T16:37:35.0479684Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0480208Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0480709Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0481136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0481553Z     x = stage(x)
2025-11-03T16:37:35.0481921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0482380Z     out = self.conv1(x)
2025-11-03T16:37:35.0482754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0483151Z     x = F.conv2d(
2025-11-03T16:37:35.0483253Z 
2025-11-03T16:37:35.0483377Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0483893Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0484391Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0484820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0485227Z     x = stage(x)
2025-11-03T16:37:35.0485589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0485997Z     out = F.relu_(out)
2025-11-03T16:37:35.0486269Z 
2025-11-03T16:37:35.0486397Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0486933Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0487436Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0487853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0488259Z     x = stage(x)
2025-11-03T16:37:35.0488631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0489047Z     out = self.conv2(out)
2025-11-03T16:37:35.0489416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0489802Z     x = F.conv2d(
2025-11-03T16:37:35.0489915Z 
2025-11-03T16:37:35.0490028Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0490607Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0491091Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0491491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0491885Z     x = stage(x)
2025-11-03T16:37:35.0492244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0492707Z     out = F.relu_(out)
2025-11-03T16:37:35.0492815Z 
2025-11-03T16:37:35.0493204Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0493707Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0494197Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0494618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0495028Z     x = stage(x)
2025-11-03T16:37:35.0495393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0495799Z     out = self.conv3(out)
2025-11-03T16:37:35.0496159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0496539Z     x = F.conv2d(
2025-11-03T16:37:35.0496637Z 
2025-11-03T16:37:35.0496756Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0497262Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0497732Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0498207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0498608Z     x = stage(x)
2025-11-03T16:37:35.0498967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0499361Z     out = F.relu_(out)
2025-11-03T16:37:35.0499477Z 
2025-11-03T16:37:35.0499583Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0500086Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0500570Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0500979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0501378Z     x = stage(x)
2025-11-03T16:37:35.0501750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0502156Z     out = self.conv1(x)
2025-11-03T16:37:35.0502522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0502911Z     x = F.conv2d(
2025-11-03T16:37:35.0503013Z 
2025-11-03T16:37:35.0503127Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0503655Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0504168Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0504674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0505088Z     x = stage(x)
2025-11-03T16:37:35.0505481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0505935Z     out = F.relu_(out)
2025-11-03T16:37:35.0506045Z 
2025-11-03T16:37:35.0506171Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0506689Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0507164Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0507578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0508003Z     x = stage(x)
2025-11-03T16:37:35.0508376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0508783Z     out = self.conv2(out)
2025-11-03T16:37:35.0509152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0509538Z     x = F.conv2d(
2025-11-03T16:37:35.0509648Z 
2025-11-03T16:37:35.0509768Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0510300Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0510796Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0511241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0511667Z     x = stage(x)
2025-11-03T16:37:35.0512051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0512461Z     out = F.relu_(out)
2025-11-03T16:37:35.0512573Z 
2025-11-03T16:37:35.0512688Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0514068Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0514578Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0515006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0515423Z     x = stage(x)
2025-11-03T16:37:35.0515790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0516203Z     out = self.conv3(out)
2025-11-03T16:37:35.0516576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0516964Z     x = F.conv2d(
2025-11-03T16:37:35.0517066Z 
2025-11-03T16:37:35.0517183Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0517706Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0518209Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0518643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0519101Z     x = stage(x)
2025-11-03T16:37:35.0519455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0519856Z     out = F.relu_(out)
2025-11-03T16:37:35.0519966Z 
2025-11-03T16:37:35.0520076Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0520580Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0521057Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0521460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0521861Z     x = stage(x)
2025-11-03T16:37:35.0522258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0522661Z     out = self.conv1(x)
2025-11-03T16:37:35.0523009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0523388Z     x = F.conv2d(
2025-11-03T16:37:35.0523494Z 
2025-11-03T16:37:35.0523605Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0524112Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0524616Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0525023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0525432Z     x = stage(x)
2025-11-03T16:37:35.0525803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0526216Z     out = F.relu_(out)
2025-11-03T16:37:35.0526326Z 
2025-11-03T16:37:35.0526444Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0526941Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0527431Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0527846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0528244Z     x = stage(x)
2025-11-03T16:37:35.0528610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0529007Z     out = self.conv2(out)
2025-11-03T16:37:35.0529428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0529805Z     x = F.conv2d(
2025-11-03T16:37:35.0529907Z 
2025-11-03T16:37:35.0530027Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0530529Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0531015Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0531431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0531838Z     x = stage(x)
2025-11-03T16:37:35.0532203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0532593Z     out = F.relu_(out)
2025-11-03T16:37:35.0532717Z 
2025-11-03T16:37:35.0532830Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0533337Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0533822Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0534232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0534622Z     x = stage(x)
2025-11-03T16:37:35.0534995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0535392Z     out = self.conv3(out)
2025-11-03T16:37:35.0535752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0536123Z     x = F.conv2d(
2025-11-03T16:37:35.0536230Z 
2025-11-03T16:37:35.0536337Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0536845Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0537372Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0537801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0538226Z     x = stage(x)
2025-11-03T16:37:35.0538602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0539028Z     out = F.relu_(out)
2025-11-03T16:37:35.0539146Z 
2025-11-03T16:37:35.0539290Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0539797Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0540295Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0540722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0541128Z     x = stage(x)
2025-11-03T16:37:35.0541493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0541906Z     out = self.conv1(x)
2025-11-03T16:37:35.0542273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0542663Z     x = F.conv2d(
2025-11-03T16:37:35.0542764Z 
2025-11-03T16:37:35.0542887Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0543422Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0543917Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0544358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0544945Z     x = stage(x)
2025-11-03T16:37:35.0545328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0545742Z     out = F.relu_(out)
2025-11-03T16:37:35.0545862Z 
2025-11-03T16:37:35.0545975Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0546494Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0546990Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0547414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0547807Z     x = stage(x)
2025-11-03T16:37:35.0548181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0548593Z     out = self.conv2(out)
2025-11-03T16:37:35.0548969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0549349Z     x = F.conv2d(
2025-11-03T16:37:35.0549450Z 
2025-11-03T16:37:35.0549562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0550083Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0550576Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0550995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0551398Z     x = stage(x)
2025-11-03T16:37:35.0551761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0552165Z     out = F.relu_(out)
2025-11-03T16:37:35.0552276Z 
2025-11-03T16:37:35.0552412Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0552967Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0553442Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0553869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0554277Z     x = stage(x)
2025-11-03T16:37:35.0554652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0555095Z     out = self.conv3(out)
2025-11-03T16:37:35.0555461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0555834Z     x = F.conv2d(
2025-11-03T16:37:35.0555939Z 
2025-11-03T16:37:35.0556049Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0556567Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0557061Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0557473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0557877Z     x = stage(x)
2025-11-03T16:37:35.0558251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:37:35.0558669Z     shortcut = self.shortcut(x)
2025-11-03T16:37:35.0559032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0559413Z     x = F.conv2d(
2025-11-03T16:37:35.0559518Z 
2025-11-03T16:37:35.0559627Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0560184Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0560681Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0561086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0561492Z     x = stage(x)
2025-11-03T16:37:35.0561859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0562274Z     out = self.conv1(x)
2025-11-03T16:37:35.0562694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0563091Z     x = F.conv2d(
2025-11-03T16:37:35.0563204Z 
2025-11-03T16:37:35.0563318Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0563853Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0564368Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0564780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0565191Z     x = stage(x)
2025-11-03T16:37:35.0565560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0565974Z     out = F.relu_(out)
2025-11-03T16:37:35.0566087Z 
2025-11-03T16:37:35.0566211Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0566718Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0567293Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0567765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0568207Z     x = stage(x)
2025-11-03T16:37:35.0568566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0568969Z     out = self.conv2(out)
2025-11-03T16:37:35.0569331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0569705Z     x = F.conv2d(
2025-11-03T16:37:35.0569808Z 
2025-11-03T16:37:35.0569925Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0570460Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0570967Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0571399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0571818Z     x = stage(x)
2025-11-03T16:37:35.0572197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0572599Z     out = F.relu_(out)
2025-11-03T16:37:35.0572721Z 
2025-11-03T16:37:35.0572837Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0573362Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0573863Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0574294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0574692Z     x = stage(x)
2025-11-03T16:37:35.0575067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0575478Z     out = self.conv3(out)
2025-11-03T16:37:35.0575899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0576275Z     x = F.conv2d(
2025-11-03T16:37:35.0576382Z 
2025-11-03T16:37:35.0576494Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0577005Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0577498Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0577918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0578312Z     x = stage(x)
2025-11-03T16:37:35.0578679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0579087Z     out = F.relu_(out)
2025-11-03T16:37:35.0579198Z 
2025-11-03T16:37:35.0579324Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0579837Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0580333Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0580757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0581166Z     x = stage(x)
2025-11-03T16:37:35.0581532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0581944Z     out = self.conv1(x)
2025-11-03T16:37:35.0582306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0582688Z     x = F.conv2d(
2025-11-03T16:37:35.0582790Z 
2025-11-03T16:37:35.0582911Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0583424Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0583951Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0584378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0584856Z     x = stage(x)
2025-11-03T16:37:35.0585230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0585683Z     out = F.relu_(out)
2025-11-03T16:37:35.0585804Z 
2025-11-03T16:37:35.0585916Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0586669Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0587178Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0587609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0588020Z     x = stage(x)
2025-11-03T16:37:35.0588406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0588887Z     out = self.conv2(out)
2025-11-03T16:37:35.0589265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0589651Z     x = F.conv2d(
2025-11-03T16:37:35.0589758Z 
2025-11-03T16:37:35.0589871Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0590402Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0590886Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0591458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0591874Z     x = stage(x)
2025-11-03T16:37:35.0592239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0592645Z     out = F.relu_(out)
2025-11-03T16:37:35.0592753Z 
2025-11-03T16:37:35.0592877Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0593383Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0593856Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0594266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0594663Z     x = stage(x)
2025-11-03T16:37:35.0595024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0595436Z     out = self.conv3(out)
2025-11-03T16:37:35.0595787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0596166Z     x = F.conv2d(
2025-11-03T16:37:35.0596271Z 
2025-11-03T16:37:35.0596381Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0596879Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0597358Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0597774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0598165Z     x = stage(x)
2025-11-03T16:37:35.0598537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0598940Z     out = F.relu_(out)
2025-11-03T16:37:35.0599095Z 
2025-11-03T16:37:35.0599211Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0599721Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0600207Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0600624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0601027Z     x = stage(x)
2025-11-03T16:37:35.0601413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0601819Z     out = self.conv1(x)
2025-11-03T16:37:35.0602172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0602548Z     x = F.conv2d(
2025-11-03T16:37:35.0602648Z 
2025-11-03T16:37:35.0602761Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0603278Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0603759Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0604167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0604567Z     x = stage(x)
2025-11-03T16:37:35.0604914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0605319Z     out = F.relu_(out)
2025-11-03T16:37:35.0605433Z 
2025-11-03T16:37:35.0605543Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0606046Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0606565Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0606973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0607372Z     x = stage(x)
2025-11-03T16:37:35.0607731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0608138Z     out = self.conv2(out)
2025-11-03T16:37:35.0608488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0608869Z     x = F.conv2d(
2025-11-03T16:37:35.0608975Z 
2025-11-03T16:37:35.0609087Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0609586Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0610066Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0610470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0610864Z     x = stage(x)
2025-11-03T16:37:35.0611221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0611614Z     out = F.relu_(out)
2025-11-03T16:37:35.0611720Z 
2025-11-03T16:37:35.0611835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0612328Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0612816Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0613235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0613633Z     x = stage(x)
2025-11-03T16:37:35.0614002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0614432Z     out = self.conv3(out)
2025-11-03T16:37:35.0614798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0615181Z     x = F.conv2d(
2025-11-03T16:37:35.0615282Z 
2025-11-03T16:37:35.0615404Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0615915Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0616433Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0616857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0617258Z     x = stage(x)
2025-11-03T16:37:35.0617632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0618029Z     out = F.relu_(out)
2025-11-03T16:37:35.0618150Z 
2025-11-03T16:37:35.0618263Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0618785Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0619280Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0619703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0620099Z     x = stage(x)
2025-11-03T16:37:35.0620468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0620872Z     out = self.conv1(x)
2025-11-03T16:37:35.0621230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0621646Z     x = F.conv2d(
2025-11-03T16:37:35.0621761Z 
2025-11-03T16:37:35.0621873Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0622386Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0622878Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0623299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0623698Z     x = stage(x)
2025-11-03T16:37:35.0624071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0624480Z     out = F.relu_(out)
2025-11-03T16:37:35.0624678Z 
2025-11-03T16:37:35.0624808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0625339Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0625833Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0626261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0626663Z     x = stage(x)
2025-11-03T16:37:35.0627037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0627443Z     out = self.conv2(out)
2025-11-03T16:37:35.0627816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0628205Z     x = F.conv2d(
2025-11-03T16:37:35.0628308Z 
2025-11-03T16:37:35.0628435Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0628962Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0629482Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0629908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0630313Z     x = stage(x)
2025-11-03T16:37:35.0630682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0631086Z     out = F.relu_(out)
2025-11-03T16:37:35.0631197Z 
2025-11-03T16:37:35.0631310Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0631860Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0632364Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0632794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0633201Z     x = stage(x)
2025-11-03T16:37:35.0633582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0633999Z     out = self.conv3(out)
2025-11-03T16:37:35.0634375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0634769Z     x = F.conv2d(
2025-11-03T16:37:35.0634874Z 
2025-11-03T16:37:35.0634992Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0635518Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0636027Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0636461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0636870Z     x = stage(x)
2025-11-03T16:37:35.0637291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0637702Z     out = F.relu_(out)
2025-11-03T16:37:35.0637821Z 
2025-11-03T16:37:35.0637935Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0638454Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0638939Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0639358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0639763Z     x = stage(x)
2025-11-03T16:37:35.0640134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0640539Z     out = self.conv1(x)
2025-11-03T16:37:35.0640896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0641280Z     x = F.conv2d(
2025-11-03T16:37:35.0641387Z 
2025-11-03T16:37:35.0641502Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0642019Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0642510Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0642924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0643330Z     x = stage(x)
2025-11-03T16:37:35.0643699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0644102Z     out = F.relu_(out)
2025-11-03T16:37:35.0644212Z 
2025-11-03T16:37:35.0644324Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0644847Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0645397Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0645821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0646221Z     x = stage(x)
2025-11-03T16:37:35.0646580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0647013Z     out = self.conv2(out)
2025-11-03T16:37:35.0647379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0647769Z     x = F.conv2d(
2025-11-03T16:37:35.0647870Z 
2025-11-03T16:37:35.0647991Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0648501Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0648992Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0649425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0649810Z     x = stage(x)
2025-11-03T16:37:35.0650158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0650552Z     out = F.relu_(out)
2025-11-03T16:37:35.0650667Z 
2025-11-03T16:37:35.0650777Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0651279Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0651759Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0652205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0652598Z     x = stage(x)
2025-11-03T16:37:35.0652960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0653366Z     out = self.conv3(out)
2025-11-03T16:37:35.0653737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0654118Z     x = F.conv2d(
2025-11-03T16:37:35.0654228Z 
2025-11-03T16:37:35.0654343Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0654862Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0655353Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0655771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0656177Z     x = stage(x)
2025-11-03T16:37:35.0656534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0656927Z     out = F.relu_(out)
2025-11-03T16:37:35.0657035Z 
2025-11-03T16:37:35.0657156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0657650Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0658128Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0658538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0658935Z     x = stage(x)
2025-11-03T16:37:35.0659301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0659700Z     out = self.conv1(x)
2025-11-03T16:37:35.0660104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0660494Z     x = F.conv2d(
2025-11-03T16:37:35.0660595Z 
2025-11-03T16:37:35.0660718Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0661234Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0661729Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0662178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0662578Z     x = stage(x)
2025-11-03T16:37:35.0662947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0663346Z     out = F.relu_(out)
2025-11-03T16:37:35.0663465Z 
2025-11-03T16:37:35.0663581Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0664101Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0664671Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0665102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0665500Z     x = stage(x)
2025-11-03T16:37:35.0665872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0666285Z     out = self.conv2(out)
2025-11-03T16:37:35.0666655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0667036Z     x = F.conv2d(
2025-11-03T16:37:35.0667147Z 
2025-11-03T16:37:35.0667307Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0667829Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0668314Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0668732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0669129Z     x = stage(x)
2025-11-03T16:37:35.0669495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0669902Z     out = F.relu_(out)
2025-11-03T16:37:35.0670015Z 
2025-11-03T16:37:35.0670136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0670649Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0671135Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0671560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0671961Z     x = stage(x)
2025-11-03T16:37:35.0672331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0672728Z     out = self.conv3(out)
2025-11-03T16:37:35.0673099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0673478Z     x = F.conv2d(
2025-11-03T16:37:35.0673578Z 
2025-11-03T16:37:35.0673702Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0674217Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0674700Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0675126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0675558Z     x = stage(x)
2025-11-03T16:37:35.0675929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0676337Z     out = F.relu_(out)
2025-11-03T16:37:35.0676450Z 
2025-11-03T16:37:35.0676563Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0677104Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0677621Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0678045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0678449Z     x = stage(x)
2025-11-03T16:37:35.0678814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0679224Z     out = self.conv1(x)
2025-11-03T16:37:35.0679589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0679971Z     x = F.conv2d(
2025-11-03T16:37:35.0680071Z 
2025-11-03T16:37:35.0680185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0680712Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0681208Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0681629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0682029Z     x = stage(x)
2025-11-03T16:37:35.0682392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0682843Z     out = F.relu_(out)
2025-11-03T16:37:35.0682966Z 
2025-11-03T16:37:35.0683082Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0683607Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0684103Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0684523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0684931Z     x = stage(x)
2025-11-03T16:37:35.0685304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0685712Z     out = self.conv2(out)
2025-11-03T16:37:35.0686070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0686695Z     x = F.conv2d(
2025-11-03T16:37:35.0686813Z 
2025-11-03T16:37:35.0686931Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0687455Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0687954Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0688384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0688777Z     x = stage(x)
2025-11-03T16:37:35.0689140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0689537Z     out = F.relu_(out)
2025-11-03T16:37:35.0689645Z 
2025-11-03T16:37:35.0689757Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0690268Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0690817Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0691229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0691618Z     x = stage(x)
2025-11-03T16:37:35.0691969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0692369Z     out = self.conv3(out)
2025-11-03T16:37:35.0692729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0693142Z     x = F.conv2d(
2025-11-03T16:37:35.0693248Z 
2025-11-03T16:37:35.0693367Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0693860Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0694352Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0694765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0695154Z     x = stage(x)
2025-11-03T16:37:35.0695501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0695893Z     out = F.relu_(out)
2025-11-03T16:37:35.0696007Z 
2025-11-03T16:37:35.0696117Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0696615Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0697089Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0697486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0697875Z     x = stage(x)
2025-11-03T16:37:35.0698305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0698720Z     out = self.conv1(x)
2025-11-03T16:37:35.0699120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0699497Z     x = F.conv2d(
2025-11-03T16:37:35.0699608Z 
2025-11-03T16:37:35.0699722Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0700238Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0700740Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0701161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0701553Z     x = stage(x)
2025-11-03T16:37:35.0701925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0723481Z     out = F.relu_(out)
2025-11-03T16:37:35.0723626Z 
2025-11-03T16:37:35.0723759Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0724313Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0724834Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0725279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0725701Z     x = stage(x)
2025-11-03T16:37:35.0726089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0726514Z     out = self.conv2(out)
2025-11-03T16:37:35.0726899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0727457Z     x = F.conv2d(
2025-11-03T16:37:35.0727574Z 
2025-11-03T16:37:35.0727694Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0728234Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0728745Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0729186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0729640Z     x = stage(x)
2025-11-03T16:37:35.0730022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0730430Z     out = F.relu_(out)
2025-11-03T16:37:35.0730545Z 
2025-11-03T16:37:35.0730671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0731196Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0731687Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0732105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0732494Z     x = stage(x)
2025-11-03T16:37:35.0732865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0733281Z     out = self.conv3(out)
2025-11-03T16:37:35.0733649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0734027Z     x = F.conv2d(
2025-11-03T16:37:35.0734131Z 
2025-11-03T16:37:35.0734256Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0734836Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0735331Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0735765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0736156Z     x = stage(x)
2025-11-03T16:37:35.0736528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0736939Z     out = F.relu_(out)
2025-11-03T16:37:35.0737052Z 
2025-11-03T16:37:35.0737167Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0737688Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0738188Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0738618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0739020Z     x = stage(x)
2025-11-03T16:37:35.0739383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0739789Z     out = self.conv1(x)
2025-11-03T16:37:35.0740156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0740540Z     x = F.conv2d(
2025-11-03T16:37:35.0740642Z 
2025-11-03T16:37:35.0740753Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0741276Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0741770Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0742198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0742604Z     x = stage(x)
2025-11-03T16:37:35.0742987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0743390Z     out = F.relu_(out)
2025-11-03T16:37:35.0743510Z 
2025-11-03T16:37:35.0743624Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0744141Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0744739Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0745187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0745585Z     x = stage(x)
2025-11-03T16:37:35.0745957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0746366Z     out = self.conv2(out)
2025-11-03T16:37:35.0746736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0747122Z     x = F.conv2d(
2025-11-03T16:37:35.0747232Z 
2025-11-03T16:37:35.0747345Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0747867Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0748360Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0748773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0749176Z     x = stage(x)
2025-11-03T16:37:35.0749542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0749942Z     out = F.relu_(out)
2025-11-03T16:37:35.0750054Z 
2025-11-03T16:37:35.0750212Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0750726Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0751224Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0751646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0752046Z     x = stage(x)
2025-11-03T16:37:35.0752408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0752817Z     out = self.conv3(out)
2025-11-03T16:37:35.0753185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0753565Z     x = F.conv2d(
2025-11-03T16:37:35.0753666Z 
2025-11-03T16:37:35.0753785Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0754295Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0754793Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0755216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0755618Z     x = stage(x)
2025-11-03T16:37:35.0755985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0756382Z     out = F.relu_(out)
2025-11-03T16:37:35.0756499Z 
2025-11-03T16:37:35.0756611Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0757123Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0757608Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0758022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0758451Z     x = stage(x)
2025-11-03T16:37:35.0758818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0759219Z     out = self.conv1(x)
2025-11-03T16:37:35.0759589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0759969Z     x = F.conv2d(
2025-11-03T16:37:35.0760115Z 
2025-11-03T16:37:35.0760230Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0760747Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0761242Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0761668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0762066Z     x = stage(x)
2025-11-03T16:37:35.0762436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0762839Z     out = F.relu_(out)
2025-11-03T16:37:35.0762949Z 
2025-11-03T16:37:35.0763072Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0763579Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0764082Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0764499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0764900Z     x = stage(x)
2025-11-03T16:37:35.0765270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0765703Z     out = self.conv2(out)
2025-11-03T16:37:35.0766073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0766451Z     x = F.conv2d(
2025-11-03T16:37:35.0766552Z 
2025-11-03T16:37:35.0766673Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0767186Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0767666Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0768089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0768485Z     x = stage(x)
2025-11-03T16:37:35.0768853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0769245Z     out = F.relu_(out)
2025-11-03T16:37:35.0769371Z 
2025-11-03T16:37:35.0769484Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0770001Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0770491Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0770913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0771309Z     x = stage(x)
2025-11-03T16:37:35.0771680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0772083Z     out = self.conv3(out)
2025-11-03T16:37:35.0772450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0772838Z     x = F.conv2d(
2025-11-03T16:37:35.0772938Z 
2025-11-03T16:37:35.0773055Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0773589Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0774076Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0774497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0774888Z     x = stage(x)
2025-11-03T16:37:35.0775253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0775707Z     out = F.relu_(out)
2025-11-03T16:37:35.0775817Z 
2025-11-03T16:37:35.0775938Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0776448Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0776936Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0777357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0777756Z     x = stage(x)
2025-11-03T16:37:35.0778119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0778522Z     out = self.conv1(x)
2025-11-03T16:37:35.0778878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0779263Z     x = F.conv2d(
2025-11-03T16:37:35.0779375Z 
2025-11-03T16:37:35.0779490Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0780003Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0780486Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0780945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0781347Z     x = stage(x)
2025-11-03T16:37:35.0781713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0782115Z     out = F.relu_(out)
2025-11-03T16:37:35.0782226Z 
2025-11-03T16:37:35.0782340Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0782854Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0783349Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0783768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0784179Z     x = stage(x)
2025-11-03T16:37:35.0784649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0785077Z     out = self.conv2(out)
2025-11-03T16:37:35.0785441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0785833Z     x = F.conv2d(
2025-11-03T16:37:35.0785945Z 
2025-11-03T16:37:35.0786060Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0786770Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0787271Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0787686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0788087Z     x = stage(x)
2025-11-03T16:37:35.0788459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0788970Z     out = F.relu_(out)
2025-11-03T16:37:35.0789081Z 
2025-11-03T16:37:35.0789197Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0789709Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0790204Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0790628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0791073Z     x = stage(x)
2025-11-03T16:37:35.0791437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0791849Z     out = self.conv3(out)
2025-11-03T16:37:35.0792216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0792604Z     x = F.conv2d(
2025-11-03T16:37:35.0792707Z 
2025-11-03T16:37:35.0792821Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0793339Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0793831Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0794257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0794648Z     x = stage(x)
2025-11-03T16:37:35.0795012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0795431Z     out = F.relu_(out)
2025-11-03T16:37:35.0795547Z 
2025-11-03T16:37:35.0795657Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0796216Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0796696Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0797098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0797488Z     x = stage(x)
2025-11-03T16:37:35.0797847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0798255Z     out = self.conv1(x)
2025-11-03T16:37:35.0798607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0798986Z     x = F.conv2d(
2025-11-03T16:37:35.0799095Z 
2025-11-03T16:37:35.0799209Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0799728Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0800225Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0800642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0801046Z     x = stage(x)
2025-11-03T16:37:35.0801414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0801817Z     out = F.relu_(out)
2025-11-03T16:37:35.0801926Z 
2025-11-03T16:37:35.0802043Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0802537Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0803016Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0803425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0803828Z     x = stage(x)
2025-11-03T16:37:35.0804219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0804625Z     out = self.conv2(out)
2025-11-03T16:37:35.0804993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0805381Z     x = F.conv2d(
2025-11-03T16:37:35.0805479Z 
2025-11-03T16:37:35.0805598Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0806102Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0806615Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0807032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0807432Z     x = stage(x)
2025-11-03T16:37:35.0807803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0808203Z     out = F.relu_(out)
2025-11-03T16:37:35.0808318Z 
2025-11-03T16:37:35.0808430Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0808940Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0809420Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0809827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0810209Z     x = stage(x)
2025-11-03T16:37:35.0810561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0810957Z     out = self.conv3(out)
2025-11-03T16:37:35.0811364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0811741Z     x = F.conv2d(
2025-11-03T16:37:35.0811851Z 
2025-11-03T16:37:35.0811965Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0812477Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0812970Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0813395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0813787Z     x = stage(x)
2025-11-03T16:37:35.0814153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0814557Z     out = F.relu_(out)
2025-11-03T16:37:35.0814669Z 
2025-11-03T16:37:35.0814791Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0815133Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0815234Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0815500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0815567Z     x = stage(x)
2025-11-03T16:37:35.0815841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0815916Z     out = self.conv1(x)
2025-11-03T16:37:35.0816167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0816235Z     x = F.conv2d(
2025-11-03T16:37:35.0816239Z 
2025-11-03T16:37:35.0816353Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0816699Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0816813Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0817085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0817151Z     x = stage(x)
2025-11-03T16:37:35.0817423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0817495Z     out = F.relu_(out)
2025-11-03T16:37:35.0817517Z 
2025-11-03T16:37:35.0817633Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0817973Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0818064Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0818341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0818408Z     x = stage(x)
2025-11-03T16:37:35.0818670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0818751Z     out = self.conv2(out)
2025-11-03T16:37:35.0818998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0819071Z     x = F.conv2d(
2025-11-03T16:37:35.0819075Z 
2025-11-03T16:37:35.0819187Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0819530Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0819619Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0819917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0819995Z     x = stage(x)
2025-11-03T16:37:35.0820261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0820338Z     out = F.relu_(out)
2025-11-03T16:37:35.0820342Z 
2025-11-03T16:37:35.0820456Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0820793Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0820893Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0821163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0821237Z     x = stage(x)
2025-11-03T16:37:35.0821503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0821586Z     out = self.conv3(out)
2025-11-03T16:37:35.0821829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0821896Z     x = F.conv2d(
2025-11-03T16:37:35.0821900Z 
2025-11-03T16:37:35.0822021Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0822358Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0822454Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0822722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0822790Z     x = stage(x)
2025-11-03T16:37:35.0823064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0823136Z     out = F.relu_(out)
2025-11-03T16:37:35.0823139Z 
2025-11-03T16:37:35.0823263Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0823629Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0823725Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0823988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0824054Z     x = stage(x)
2025-11-03T16:37:35.0824324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0824416Z     out = self.conv1(x)
2025-11-03T16:37:35.0824751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0824825Z     x = F.conv2d(
2025-11-03T16:37:35.0824829Z 
2025-11-03T16:37:35.0824947Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0825300Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0825391Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0825665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0825733Z     x = stage(x)
2025-11-03T16:37:35.0825998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0826079Z     out = F.relu_(out)
2025-11-03T16:37:35.0826083Z 
2025-11-03T16:37:35.0826195Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0826543Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0826671Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0826949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0827016Z     x = stage(x)
2025-11-03T16:37:35.0827279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0827365Z     out = self.conv2(out)
2025-11-03T16:37:35.0827613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0827691Z     x = F.conv2d(
2025-11-03T16:37:35.0827695Z 
2025-11-03T16:37:35.0827808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0828142Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0828241Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0828507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0828582Z     x = stage(x)
2025-11-03T16:37:35.0828844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0828920Z     out = F.relu_(out)
2025-11-03T16:37:35.0828923Z 
2025-11-03T16:37:35.0829035Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0829364Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0829464Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0829726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0829799Z     x = stage(x)
2025-11-03T16:37:35.0830065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0830215Z     out = self.conv3(out)
2025-11-03T16:37:35.0830460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0830525Z     x = F.conv2d(
2025-11-03T16:37:35.0830528Z 
2025-11-03T16:37:35.0830646Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0830971Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0831087Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0831348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0831413Z     x = stage(x)
2025-11-03T16:37:35.0831683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0831756Z     out = F.relu_(out)
2025-11-03T16:37:35.0831760Z 
2025-11-03T16:37:35.0831877Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0832203Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0832289Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0832558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0832624Z     x = stage(x)
2025-11-03T16:37:35.0832890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0832961Z     out = self.conv1(x)
2025-11-03T16:37:35.0833196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0833272Z     x = F.conv2d(
2025-11-03T16:37:35.0833309Z 
2025-11-03T16:37:35.0833425Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0833767Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0833857Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0834129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0834197Z     x = stage(x)
2025-11-03T16:37:35.0834458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0834540Z     out = F.relu_(out)
2025-11-03T16:37:35.0834544Z 
2025-11-03T16:37:35.0834656Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0835001Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0835093Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0835364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0835430Z     x = stage(x)
2025-11-03T16:37:35.0835694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0835774Z     out = self.conv2(out)
2025-11-03T16:37:35.0836015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0836092Z     x = F.conv2d(
2025-11-03T16:37:35.0836095Z 
2025-11-03T16:37:35.0836208Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0836544Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0836644Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0836928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0837003Z     x = stage(x)
2025-11-03T16:37:35.0837265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0837335Z     out = F.relu_(out)
2025-11-03T16:37:35.0837346Z 
2025-11-03T16:37:35.0837459Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0837788Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0837905Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0838170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0838244Z     x = stage(x)
2025-11-03T16:37:35.0838513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0838587Z     out = self.conv3(out)
2025-11-03T16:37:35.0838833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0838898Z     x = F.conv2d(
2025-11-03T16:37:35.0838902Z 
2025-11-03T16:37:35.0839019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0839346Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0839435Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0839709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0839774Z     x = stage(x)
2025-11-03T16:37:35.0840085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0840157Z     out = F.relu_(out)
2025-11-03T16:37:35.0840161Z 
2025-11-03T16:37:35.0840281Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0840616Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0840706Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0840980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0841047Z     x = stage(x)
2025-11-03T16:37:35.0841319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0841390Z     out = self.conv1(x)
2025-11-03T16:37:35.0841637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0841712Z     x = F.conv2d(
2025-11-03T16:37:35.0841716Z 
2025-11-03T16:37:35.0841825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0842160Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0842248Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0842518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0842586Z     x = stage(x)
2025-11-03T16:37:35.0842852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0842930Z     out = F.relu_(out)
2025-11-03T16:37:35.0842934Z 
2025-11-03T16:37:35.0843046Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0843405Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0843509Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0843764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0843837Z     x = stage(x)
2025-11-03T16:37:35.0844091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0844169Z     out = self.conv2(out)
2025-11-03T16:37:35.0844423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0844489Z     x = F.conv2d(
2025-11-03T16:37:35.0844500Z 
2025-11-03T16:37:35.0844610Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0844938Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0845032Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0845285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0845358Z     x = stage(x)
2025-11-03T16:37:35.0845611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0845677Z     out = F.relu_(out)
2025-11-03T16:37:35.0845680Z 
2025-11-03T16:37:35.0845800Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0846122Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0846212Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0846529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0846606Z     x = stage(x)
2025-11-03T16:37:35.0846862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0846940Z     out = self.conv3(out)
2025-11-03T16:37:35.0847173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0847246Z     x = F.conv2d(
2025-11-03T16:37:35.0847250Z 
2025-11-03T16:37:35.0847362Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0847694Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0847791Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0848051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0848125Z     x = stage(x)
2025-11-03T16:37:35.0848386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0848454Z     out = F.relu_(out)
2025-11-03T16:37:35.0848457Z 
2025-11-03T16:37:35.0848575Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0848902Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0848995Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0849257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0849329Z     x = stage(x)
2025-11-03T16:37:35.0849587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0849657Z     out = self.conv1(x)
2025-11-03T16:37:35.0849905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0849988Z     x = F.conv2d(
2025-11-03T16:37:35.0849991Z 
2025-11-03T16:37:35.0850108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0850437Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0850523Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0850790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0850886Z     x = stage(x)
2025-11-03T16:37:35.0851149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0851215Z     out = F.relu_(out)
2025-11-03T16:37:35.0851219Z 
2025-11-03T16:37:35.0851337Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0851662Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0851748Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0852009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0852072Z     x = stage(x)
2025-11-03T16:37:35.0852336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0852411Z     out = self.conv2(out)
2025-11-03T16:37:35.0852642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0852713Z     x = F.conv2d(
2025-11-03T16:37:35.0852716Z 
2025-11-03T16:37:35.0852825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0853184Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0853273Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0853530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0853600Z     x = stage(x)
2025-11-03T16:37:35.0853857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0853934Z     out = F.relu_(out)
2025-11-03T16:37:35.0853937Z 
2025-11-03T16:37:35.0854045Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0854375Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0854461Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0854721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0854794Z     x = stage(x)
2025-11-03T16:37:35.0855048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0855127Z     out = self.conv3(out)
2025-11-03T16:37:35.0855362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0855425Z     x = F.conv2d(
2025-11-03T16:37:35.0855430Z 
2025-11-03T16:37:35.0855548Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0855874Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0855970Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0856230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0856323Z     x = stage(x)
2025-11-03T16:37:35.0856580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0856647Z     out = F.relu_(out)
2025-11-03T16:37:35.0856651Z 
2025-11-03T16:37:35.0856769Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0857091Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0857210Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0857470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0857534Z     x = stage(x)
2025-11-03T16:37:35.0857803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0857873Z     out = self.conv1(x)
2025-11-03T16:37:35.0858117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0858181Z     x = F.conv2d(
2025-11-03T16:37:35.0858185Z 
2025-11-03T16:37:35.0858303Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0858634Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0858720Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0858988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0859054Z     x = stage(x)
2025-11-03T16:37:35.0859329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0859398Z     out = F.relu_(out)
2025-11-03T16:37:35.0859438Z 
2025-11-03T16:37:35.0859551Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0859884Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0859969Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0860237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0860302Z     x = stage(x)
2025-11-03T16:37:35.0860568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0860638Z     out = self.conv2(out)
2025-11-03T16:37:35.0860880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0860951Z     x = F.conv2d(
2025-11-03T16:37:35.0860954Z 
2025-11-03T16:37:35.0861272Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0861620Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0861708Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0861964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0862040Z     x = stage(x)
2025-11-03T16:37:35.0862294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0862374Z     out = F.relu_(out)
2025-11-03T16:37:35.0862377Z 
2025-11-03T16:37:35.0862489Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0862829Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0862921Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0863222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0863297Z     x = stage(x)
2025-11-03T16:37:35.0863567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0863647Z     out = self.conv3(out)
2025-11-03T16:37:35.0863889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0863976Z     x = F.conv2d(
2025-11-03T16:37:35.0863979Z 
2025-11-03T16:37:35.0864100Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0864426Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0864564Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0864860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0864927Z     x = stage(x)
2025-11-03T16:37:35.0865207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0865279Z     out = F.relu_(out)
2025-11-03T16:37:35.0865283Z 
2025-11-03T16:37:35.0865403Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0865736Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0865840Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0866105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0866171Z     x = stage(x)
2025-11-03T16:37:35.0866488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0866561Z     out = self.conv1(x)
2025-11-03T16:37:35.0866810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0866875Z     x = F.conv2d(
2025-11-03T16:37:35.0866879Z 
2025-11-03T16:37:35.0866989Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0867323Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0867410Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0867676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0867741Z     x = stage(x)
2025-11-03T16:37:35.0868018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0868088Z     out = F.relu_(out)
2025-11-03T16:37:35.0868091Z 
2025-11-03T16:37:35.0868202Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0868532Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0868617Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0868878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0868945Z     x = stage(x)
2025-11-03T16:37:35.0869200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0869278Z     out = self.conv2(out)
2025-11-03T16:37:35.0869508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0869583Z     x = F.conv2d(
2025-11-03T16:37:35.0869607Z 
2025-11-03T16:37:35.0869717Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0870048Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0870134Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0870390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0870462Z     x = stage(x)
2025-11-03T16:37:35.0870740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0870814Z     out = F.relu_(out)
2025-11-03T16:37:35.0870817Z 
2025-11-03T16:37:35.0870927Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0871255Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0871351Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0871609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0871681Z     x = stage(x)
2025-11-03T16:37:35.0871938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0872015Z     out = self.conv3(out)
2025-11-03T16:37:35.0872250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0872319Z     x = F.conv2d(
2025-11-03T16:37:35.0872322Z 
2025-11-03T16:37:35.0872438Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0872810Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0872907Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0873162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0873226Z     x = stage(x)
2025-11-03T16:37:35.0873490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0873557Z     out = F.relu_(out)
2025-11-03T16:37:35.0873560Z 
2025-11-03T16:37:35.0873680Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0874007Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0874100Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0874360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0874429Z     x = stage(x)
2025-11-03T16:37:35.0874696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0874765Z     out = self.conv1(x)
2025-11-03T16:37:35.0875004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0875069Z     x = F.conv2d(
2025-11-03T16:37:35.0875073Z 
2025-11-03T16:37:35.0875181Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0875516Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0875605Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0875871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0875937Z     x = stage(x)
2025-11-03T16:37:35.0876193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0876287Z     out = F.relu_(out)
2025-11-03T16:37:35.0876291Z 
2025-11-03T16:37:35.0876403Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0876734Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0876819Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0877085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0877168Z     x = stage(x)
2025-11-03T16:37:35.0877427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0877506Z     out = self.conv2(out)
2025-11-03T16:37:35.0877746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0877820Z     x = F.conv2d(
2025-11-03T16:37:35.0877823Z 
2025-11-03T16:37:35.0877933Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0878259Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0878353Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0878613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0878685Z     x = stage(x)
2025-11-03T16:37:35.0878943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0879018Z     out = F.relu_(out)
2025-11-03T16:37:35.0879022Z 
2025-11-03T16:37:35.0879131Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0879493Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0879593Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0879848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0879918Z     x = stage(x)
2025-11-03T16:37:35.0880176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0880250Z     out = self.conv3(out)
2025-11-03T16:37:35.0880494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0880559Z     x = F.conv2d(
2025-11-03T16:37:35.0880562Z 
2025-11-03T16:37:35.0880680Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0881013Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0881110Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0881370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0881435Z     x = stage(x)
2025-11-03T16:37:35.0881703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0881770Z     out = F.relu_(out)
2025-11-03T16:37:35.0881775Z 
2025-11-03T16:37:35.0881893Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0882223Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0882312Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0882579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0882663Z     x = stage(x)
2025-11-03T16:37:35.0882925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0882994Z     out = self.conv1(x)
2025-11-03T16:37:35.0883227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0883298Z     x = F.conv2d(
2025-11-03T16:37:35.0883302Z 
2025-11-03T16:37:35.0883411Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0883767Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0883853Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0884115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0884181Z     x = stage(x)
2025-11-03T16:37:35.0884437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0884512Z     out = F.relu_(out)
2025-11-03T16:37:35.0884516Z 
2025-11-03T16:37:35.0884623Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0884951Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0885037Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0885299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0885364Z     x = stage(x)
2025-11-03T16:37:35.0885616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0885729Z     out = self.conv2(out)
2025-11-03T16:37:35.0885966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0886038Z     x = F.conv2d(
2025-11-03T16:37:35.0886042Z 
2025-11-03T16:37:35.0886363Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0886704Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0886801Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0887062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0887133Z     x = stage(x)
2025-11-03T16:37:35.0887391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0887460Z     out = F.relu_(out)
2025-11-03T16:37:35.0887472Z 
2025-11-03T16:37:35.0887586Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0887914Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0888012Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0888274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0888346Z     x = stage(x)
2025-11-03T16:37:35.0888604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0888678Z     out = self.conv3(out)
2025-11-03T16:37:35.0888926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0888992Z     x = F.conv2d(
2025-11-03T16:37:35.0888995Z 
2025-11-03T16:37:35.0889116Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0889509Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0889598Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0889859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0889923Z     x = stage(x)
2025-11-03T16:37:35.0890186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0890288Z     out = F.relu_(out)
2025-11-03T16:37:35.0890291Z 
2025-11-03T16:37:35.0890410Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0890743Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0890832Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0891107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0891171Z     x = stage(x)
2025-11-03T16:37:35.0891441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0891510Z     out = self.conv1(x)
2025-11-03T16:37:35.0891747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0891820Z     x = F.conv2d(
2025-11-03T16:37:35.0891826Z 
2025-11-03T16:37:35.0891937Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0892276Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0892363Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0892691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0892759Z     x = stage(x)
2025-11-03T16:37:35.0893016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0893088Z     out = F.relu_(out)
2025-11-03T16:37:35.0893092Z 
2025-11-03T16:37:35.0893200Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0893531Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0893619Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0893880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0893951Z     x = stage(x)
2025-11-03T16:37:35.0894213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0894292Z     out = self.conv2(out)
2025-11-03T16:37:35.0894528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0894593Z     x = F.conv2d(
2025-11-03T16:37:35.0894603Z 
2025-11-03T16:37:35.0894714Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0895042Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0895138Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0895395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0895466Z     x = stage(x)
2025-11-03T16:37:35.0895724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0895796Z     out = F.relu_(out)
2025-11-03T16:37:35.0895817Z 
2025-11-03T16:37:35.0895937Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0896264Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0896358Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0896614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0896721Z     x = stage(x)
2025-11-03T16:37:35.0896989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0897063Z     out = self.conv3(out)
2025-11-03T16:37:35.0897309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0897376Z     x = F.conv2d(
2025-11-03T16:37:35.0897382Z 
2025-11-03T16:37:35.0897500Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0897832Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0897918Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0898188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0898252Z     x = stage(x)
2025-11-03T16:37:35.0898519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0898589Z     out = F.relu_(out)
2025-11-03T16:37:35.0898592Z 
2025-11-03T16:37:35.0898702Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0899073Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0899164Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0899439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0899506Z     x = stage(x)
2025-11-03T16:37:35.0899782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0899855Z     out = self.conv1(x)
2025-11-03T16:37:35.0900094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0900173Z     x = F.conv2d(
2025-11-03T16:37:35.0900176Z 
2025-11-03T16:37:35.0900288Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0900621Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0900712Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0900972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0901049Z     x = stage(x)
2025-11-03T16:37:35.0901318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0901395Z     out = F.relu_(out)
2025-11-03T16:37:35.0901398Z 
2025-11-03T16:37:35.0901511Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0901843Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0901933Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0902204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0902284Z     x = stage(x)
2025-11-03T16:37:35.0902564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0902662Z     out = self.conv2(out)
2025-11-03T16:37:35.0902906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0902972Z     x = F.conv2d(
2025-11-03T16:37:35.0902975Z 
2025-11-03T16:37:35.0903095Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0903434Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0903548Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0903858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0903932Z     x = stage(x)
2025-11-03T16:37:35.0904209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0904280Z     out = F.relu_(out)
2025-11-03T16:37:35.0904283Z 
2025-11-03T16:37:35.0904404Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0904798Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0904900Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0905177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0905247Z     x = stage(x)
2025-11-03T16:37:35.0905528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0905602Z     out = self.conv3(out)
2025-11-03T16:37:35.0905916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0905987Z     x = F.conv2d(
2025-11-03T16:37:35.0905991Z 
2025-11-03T16:37:35.0906107Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0906452Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0906541Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0906815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0906886Z     x = stage(x)
2025-11-03T16:37:35.0907169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:37:35.0907252Z     shortcut = self.shortcut(x)
2025-11-03T16:37:35.0907498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0907577Z     x = F.conv2d(
2025-11-03T16:37:35.0907582Z 
2025-11-03T16:37:35.0907698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0908041Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0908128Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0908393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0908467Z     x = stage(x)
2025-11-03T16:37:35.0908731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0908812Z     out = self.conv1(x)
2025-11-03T16:37:35.0909051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0909124Z     x = F.conv2d(
2025-11-03T16:37:35.0909128Z 
2025-11-03T16:37:35.0909258Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0909616Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0909712Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0909977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0910049Z     x = stage(x)
2025-11-03T16:37:35.0910315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0910405Z     out = F.relu_(out)
2025-11-03T16:37:35.0910409Z 
2025-11-03T16:37:35.0910533Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0910868Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0910970Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0911235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0911308Z     x = stage(x)
2025-11-03T16:37:35.0911572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0911647Z     out = self.conv2(out)
2025-11-03T16:37:35.0911896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0911965Z     x = F.conv2d(
2025-11-03T16:37:35.0911968Z 
2025-11-03T16:37:35.0912089Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0912423Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0912549Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0912828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0912895Z     x = stage(x)
2025-11-03T16:37:35.0913170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0913240Z     out = F.relu_(out)
2025-11-03T16:37:35.0913244Z 
2025-11-03T16:37:35.0913362Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0913700Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0913791Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0914063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0914129Z     x = stage(x)
2025-11-03T16:37:35.0914408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0914483Z     out = self.conv3(out)
2025-11-03T16:37:35.0914725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0914801Z     x = F.conv2d(
2025-11-03T16:37:35.0914804Z 
2025-11-03T16:37:35.0914918Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0915263Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0915352Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0915622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0915687Z     x = stage(x)
2025-11-03T16:37:35.0915952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0916048Z     out = F.relu_(out)
2025-11-03T16:37:35.0916051Z 
2025-11-03T16:37:35.0916166Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0916507Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0916595Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0916860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0916958Z     x = stage(x)
2025-11-03T16:37:35.0917226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:35.0917303Z     out = self.conv1(x)
2025-11-03T16:37:35.0917546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0917616Z     x = F.conv2d(
2025-11-03T16:37:35.0917628Z 
2025-11-03T16:37:35.0917743Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0918079Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0918175Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0918449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0918522Z     x = stage(x)
2025-11-03T16:37:35.0918779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:35.0918846Z     out = F.relu_(out)
2025-11-03T16:37:35.0918849Z 
2025-11-03T16:37:35.0918966Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0919329Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0919425Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0919683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0919747Z     x = stage(x)
2025-11-03T16:37:35.0920011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:35.0920083Z     out = self.conv2(out)
2025-11-03T16:37:35.0920328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0920394Z     x = F.conv2d(
2025-11-03T16:37:35.0920397Z 
2025-11-03T16:37:35.0920514Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0920845Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0920934Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0921199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0921264Z     x = stage(x)
2025-11-03T16:37:35.0921538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:35.0921605Z     out = F.relu_(out)
2025-11-03T16:37:35.0921608Z 
2025-11-03T16:37:35.0921720Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0922055Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0922143Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0922414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0922510Z     x = stage(x)
2025-11-03T16:37:35.0922785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:35.0922856Z     out = self.conv3(out)
2025-11-03T16:37:35.0923090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:35.0923163Z     x = F.conv2d(
2025-11-03T16:37:35.0923166Z 
2025-11-03T16:37:35.0923276Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:35.0923630Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:35.0923717Z     features = self.backbone(images.tensor)
2025-11-03T16:37:35.0923986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:35.0924060Z     x = stage(x)
2025-11-03T16:37:35.0924330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:35.0924408Z     out = F.relu_(out)
2025-11-03T16:37:35.0924411Z 
2025-11-03T16:37:43.5060505Z cudagraph partition due to non gpu ops
2025-11-03T16:37:43.5060867Z cudagraph partition due to non gpu ops
2025-11-03T16:37:43.5061109Z cudagraph partition due to non gpu ops
2025-11-03T16:37:43.5061338Z cudagraph partition due to non gpu ops
2025-11-03T16:37:43.5061572Z cudagraph partition due to non gpu ops
2025-11-03T16:37:43.5061840Z cudagraph partition due to non gpu ops
2025-11-03T16:37:43.5062115Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:43.5062646Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:43.5063171Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:43.5064096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:43.5064746Z     t = self.conv(x)
2025-11-03T16:37:43.5065133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:43.5065523Z     x = F.conv2d(
2025-11-03T16:37:43.5065645Z 
2025-11-03T16:37:43.5065768Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:43.5066257Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:43.5066781Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:43.5067299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:43.5067750Z     t = self.conv(x)
2025-11-03T16:37:43.5068124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:37:43.5068525Z     x = self.activation(x)
2025-11-03T16:37:43.5068654Z 
2025-11-03T16:37:43.5068781Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:43.5069253Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:43.5069753Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:43.5070267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:37:43.5070756Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:37:43.5070950Z 
2025-11-03T16:37:43.5071073Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:43.5071544Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:43.5072046Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:43.5072642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:37:43.5073105Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:37:43.5073275Z 
2025-11-03T16:37:43.5073398Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:43.5073871Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:43.5074391Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:43.5074838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:43.5075354Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:43.5075890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:37:43.5076393Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:37:43.5076593Z 
2025-11-03T16:37:43.5076708Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:43.5077183Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:37:43.5077622Z     pred_objectness_logits = [
2025-11-03T16:37:43.5078064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:37:43.5078527Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:37:43.5078678Z 
2025-11-03T16:37:43.5078807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:43.5079277Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:37:43.5079760Z     pred_anchor_deltas = [
2025-11-03T16:37:43.5080192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:37:43.5080642Z     .flatten(1, -2)
2025-11-03T16:37:43.5080754Z 
2025-11-03T16:37:43.5080869Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:43.5081337Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:43.5081794Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:43.5082237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:43.5082740Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:43.5083265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:37:43.5083808Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:37:43.5084053Z 
2025-11-03T16:37:47.3527959Z cudagraph partition due to non gpu ops
2025-11-03T16:37:47.3528323Z cudagraph partition due to non gpu ops
2025-11-03T16:37:47.3528576Z cudagraph partition due to non gpu ops
2025-11-03T16:37:47.3528817Z cudagraph partition due to non gpu ops
2025-11-03T16:37:47.3529103Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:47.3529671Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:37:47.3530285Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:37:47.3530776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:37:47.3531278Z     return torch.as_tensor(x, device=device)
2025-11-03T16:37:47.3531450Z 
2025-11-03T16:37:47.3531971Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:47.3532501Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:37:47.3533122Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:37:47.3533309Z 
2025-11-03T16:37:48.0116089Z cudagraph partition due to non gpu ops
2025-11-03T16:37:48.0116435Z cudagraph partition due to non gpu ops
2025-11-03T16:37:48.0116728Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:48.0117762Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66
2025-11-03T16:37:48.0118338Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:37:48.0118761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:37:48.0119186Z     return torch.cat(tensors, dim)
2025-11-03T16:37:48.0119345Z 
2025-11-03T16:37:48.6030487Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:48.6035292Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243
2025-11-03T16:37:48.6040477Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:37:48.6045527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:37:48.6047583Z     return roi_align(
2025-11-03T16:37:48.6048023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:37:48.6048484Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:37:48.6048666Z 
2025-11-03T16:37:48.6048798Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:48.6049695Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243
2025-11-03T16:37:48.6050226Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:37:48.6050649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:37:48.6051029Z     return roi_align(
2025-11-03T16:37:48.6051386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:37:48.6051780Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:37:48.6051946Z 
2025-11-03T16:37:52.1845873Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:52.1847023Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:37:52.1847544Z     box_features = self.box_head(box_features)
2025-11-03T16:37:52.1848093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:37:52.1848528Z     x = layer(x)
2025-11-03T16:37:52.1848652Z 
2025-11-03T16:37:52.1848781Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:52.1849436Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:37:52.1849921Z     box_features = self.box_head(box_features)
2025-11-03T16:37:52.1850326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:37:52.1850722Z     x = layer(x)
2025-11-03T16:37:52.1850828Z 
2025-11-03T16:37:52.1850946Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:52.1851512Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:37:52.1852365Z     box_features = self.box_head(box_features)
2025-11-03T16:37:52.1852783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:37:52.1853183Z     x = layer(x)
2025-11-03T16:37:52.1853284Z 
2025-11-03T16:37:52.1853394Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:52.1853889Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:37:52.1854448Z     box_features = self.box_head(box_features)
2025-11-03T16:37:52.1854843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:37:52.1855227Z     x = layer(x)
2025-11-03T16:37:52.1855330Z 
2025-11-03T16:37:52.1855441Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:52.1855940Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:37:52.1856440Z     predictions = self.box_predictor(box_features)
2025-11-03T16:37:52.1856880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:37:52.1857284Z     scores = self.cls_score(x)
2025-11-03T16:37:52.1857416Z 
2025-11-03T16:37:52.1857525Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:52.1858020Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:37:52.1858542Z     predictions = self.box_predictor(box_features)
2025-11-03T16:37:52.1858978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:37:52.1859500Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:37:52.1859661Z 
2025-11-03T16:37:54.7781931Z cudagraph partition due to non gpu ops
2025-11-03T16:37:54.7782290Z cudagraph partition due to non gpu ops
2025-11-03T16:37:54.7782534Z cudagraph partition due to non gpu ops
2025-11-03T16:37:54.7782770Z cudagraph partition due to non gpu ops
2025-11-03T16:37:54.7783067Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:54.7783589Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:37:54.7784122Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:37:54.7784687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:37:54.7785252Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:37:54.7785759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:37:54.7786395Z     return torch.cat(tensors, dim)
2025-11-03T16:37:54.7786589Z 
2025-11-03T16:37:54.7786711Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:54.7787175Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:37:54.7787648Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:37:54.7788188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:37:54.7788690Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:37:54.7789175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:37:54.7789649Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:37:54.7789819Z 
2025-11-03T16:37:57.1353545Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:57.1354730Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:37:57.1355333Z     max_coordinate = boxes.max()
2025-11-03T16:37:57.1355948Z 
2025-11-03T16:37:57.1356406Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:57.1356977Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:37:57.1357456Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:37:57.1358076Z 
2025-11-03T16:37:57.8960222Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:57.8960946Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:37:57.8961598Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:37:57.8961874Z 
2025-11-03T16:37:57.8961998Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:57.8962596Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:37:57.8963217Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:37:57.8963437Z 
2025-11-03T16:37:57.8963551Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:57.8964127Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:37:57.8964768Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:37:57.8964992Z 
2025-11-03T16:38:02.5959076Z cudagraph partition due to non gpu ops
2025-11-03T16:38:02.5959913Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:02.5960541Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:38:02.5961166Z     output_boxes.clip(results.image_size)
2025-11-03T16:38:02.5961590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:38:02.5962086Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:38:02.5962343Z 
2025-11-03T16:38:02.5962449Z cudagraph partition due to non gpu ops
2025-11-03T16:38:02.5962697Z cudagraph partition due to non gpu ops
2025-11-03T16:38:02.5962968Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:02.5963493Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:38:02.5963965Z     output_boxes.clip(results.image_size)
2025-11-03T16:38:02.5964363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:38:02.5964790Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:38:02.5964970Z 
2025-11-03T16:38:02.5965088Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:02.5965578Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:38:02.5966104Z     results = results[output_boxes.nonempty()]
2025-11-03T16:38:02.5966539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:38:02.5967040Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:38:02.5967218Z 
2025-11-03T16:38:11.3426306Z Compilation time (from dynamo_timed): 52.552252533
2025-11-03T16:38:11.3426639Z pass
2025-11-03T16:38:11.3427010Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:38:11.3428268Z TIMING: gc:0.04623 entire_frame_compile:52.55225 _recursive_pre_grad_passes:0.03382 async_compile.wait:5.58446 backend_compile:30.34849 _recursive_joint_graph_passes:0.61635 _recursive_post_grad_passes:0.21284 code_gen:11.04383 inductor_compile:14.54585 total_wall_time:52.55225
2025-11-03T16:38:11.3429593Z STATS: call_* op count: 780 | FakeTensorMode.__torch_dispatch__:18058 | FakeTensor.__torch_dispatch__:11684 | ProxyTorchDispatchMode.__torch_dispatch__:5785 | attempt fast:49 | slow no contiguity match:20 | fast is_contiguous:29
2025-11-03T16:38:11.3430392Z Dynamo produced 52 graphs covering 780 ops with 42 graph breaks (6 unique)
2025-11-03T16:38:14.7620766Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:38:14.7622228Z   import pynvml  # type: ignore[import]
2025-11-03T16:38:17.1265540Z 
2025-11-03T16:38:23.1758122Z loading model: 0it [00:00, ?it/s]W1103 16:38:23.174000 16123 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:38:24.4944444Z 
2025-11-03T16:38:24.4945763Z loading model: 0it [00:07, ?it/s]
2025-11-03T16:38:24.4967215Z cpu  eval  detectron2_fasterrcnn_r_101_fpn    
2025-11-03T16:38:42.7380232Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_101_fpn. Setting accuracy check to cosine
2025-11-03T16:38:42.7575248Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:38:49.6001102Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:38:56.4626054Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:39:07.1772252Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:07.1772990Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:39:07.1775824Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:39:07.1781081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:39:07.1781726Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:39:07.1782224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:39:07.1782685Z     return torch.as_tensor(x, device=device)
2025-11-03T16:39:07.1782862Z 
2025-11-03T16:39:07.1783003Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:07.1783519Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:39:07.1784046Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:39:07.1784522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:39:07.1785096Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:39:07.1785570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:39:07.1786014Z     return torch.as_tensor(x, device=device)
2025-11-03T16:39:07.1786389Z 
2025-11-03T16:39:07.1786524Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:07.1787003Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:39:07.1787782Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:39:07.1788254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:39:07.1788724Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:39:07.1789193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:39:07.1789625Z     return torch.as_tensor(x, device=device)
2025-11-03T16:39:07.1789840Z 
2025-11-03T16:39:07.1789958Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:07.1790430Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:39:07.1790902Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:39:07.1791366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:39:07.1791827Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:39:07.1792298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:39:07.1792727Z     return torch.as_tensor(x, device=device)
2025-11-03T16:39:07.1792881Z 
2025-11-03T16:39:07.1793006Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:07.1793470Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors
2025-11-03T16:39:07.1793938Z     max_size = torch.stack(image_sizes_tensor).max(0).values
2025-11-03T16:39:07.1794128Z 
2025-11-03T16:39:07.1794242Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:07.1794700Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 101, in from_tensors
2025-11-03T16:39:07.1795311Z     max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride
2025-11-03T16:39:07.1795540Z 
2025-11-03T16:39:08.2501902Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8817088Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8817413Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8817657Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8817893Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8818126Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8818368Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8818640Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8818872Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8819973Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8820890Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8821380Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8821758Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8822167Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8822542Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8822897Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8823267Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8823625Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8823996Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8824365Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8824873Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8825244Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8825624Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8825977Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8826328Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8826691Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8827063Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8827433Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8827799Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8828600Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8828972Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8829333Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8829687Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8830039Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8830409Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8830774Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8831118Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8831562Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8831929Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8832289Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.8832727Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8833670Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8834555Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8835271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8835994Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8836727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:39:28.8837432Z     x = self.stem(x)
2025-11-03T16:39:28.8838099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:39:28.8838806Z     x = self.conv1(x)
2025-11-03T16:39:28.8839418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8840064Z     x = F.conv2d(
2025-11-03T16:39:28.8840227Z 
2025-11-03T16:39:28.8840571Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8841482Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8842351Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8843054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8843763Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8844464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:39:28.8845144Z     x = self.stem(x)
2025-11-03T16:39:28.8845782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:39:28.8846452Z     x = F.relu_(x)
2025-11-03T16:39:28.8846630Z 
2025-11-03T16:39:28.8846826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8847717Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8848547Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8849240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8849943Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8850632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:39:28.8851311Z     x = self.stem(x)
2025-11-03T16:39:28.8851952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:39:28.8852717Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:39:28.8853024Z 
2025-11-03T16:39:28.8853222Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8854165Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8855008Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8855716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8856395Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8857113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8857840Z     x = stage(x)
2025-11-03T16:39:28.8858484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.8859166Z     out = self.conv1(x)
2025-11-03T16:39:28.8859792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8860409Z     x = F.conv2d(
2025-11-03T16:39:28.8860583Z 
2025-11-03T16:39:28.8860763Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8861643Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8862479Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8863181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8864135Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8865023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8865785Z     x = stage(x)
2025-11-03T16:39:28.8866454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.8867279Z     out = F.relu_(out)
2025-11-03T16:39:28.8867477Z 
2025-11-03T16:39:28.8867674Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8868612Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8869504Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8870205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8870726Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8871166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8871583Z     x = stage(x)
2025-11-03T16:39:28.8871969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.8872403Z     out = self.conv2(out)
2025-11-03T16:39:28.8872788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8873185Z     x = F.conv2d(
2025-11-03T16:39:28.8873298Z 
2025-11-03T16:39:28.8873417Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8873954Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8874468Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8874898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8875333Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8875765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8876184Z     x = stage(x)
2025-11-03T16:39:28.8876570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.8877180Z     out = F.relu_(out)
2025-11-03T16:39:28.8877351Z 
2025-11-03T16:39:28.8877524Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8878384Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8879228Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8879900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8880658Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8881341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8882019Z     x = stage(x)
2025-11-03T16:39:28.8882617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.8883298Z     out = self.conv3(out)
2025-11-03T16:39:28.8883911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8884533Z     x = F.conv2d(
2025-11-03T16:39:28.8884693Z 
2025-11-03T16:39:28.8884883Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8885758Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8886816Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8887568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8888246Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8889161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8889832Z     x = stage(x)
2025-11-03T16:39:28.8890442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:39:28.8891132Z     shortcut = self.shortcut(x)
2025-11-03T16:39:28.8891760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8892380Z     x = F.conv2d(
2025-11-03T16:39:28.8892546Z 
2025-11-03T16:39:28.8892717Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8893600Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8894431Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8895139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8895826Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8896540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8897199Z     x = stage(x)
2025-11-03T16:39:28.8897818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.8898490Z     out = self.conv1(x)
2025-11-03T16:39:28.8899075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8899692Z     x = F.conv2d(
2025-11-03T16:39:28.8899857Z 
2025-11-03T16:39:28.8900031Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8900918Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8901750Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8902444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8903203Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8903909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8904569Z     x = stage(x)
2025-11-03T16:39:28.8905287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.8906023Z     out = F.relu_(out)
2025-11-03T16:39:28.8906217Z 
2025-11-03T16:39:28.8906380Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8907237Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8908061Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8908759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8909439Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8910148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8910795Z     x = stage(x)
2025-11-03T16:39:28.8911404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.8912079Z     out = self.conv2(out)
2025-11-03T16:39:28.8912678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8913297Z     x = F.conv2d(
2025-11-03T16:39:28.8913454Z 
2025-11-03T16:39:28.8913642Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8914573Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8915413Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8916120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8916808Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8917521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8918209Z     x = stage(x)
2025-11-03T16:39:28.8918794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.8919469Z     out = F.relu_(out)
2025-11-03T16:39:28.8919644Z 
2025-11-03T16:39:28.8919828Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8920732Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8921487Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8922079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8922678Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8923329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8923898Z     x = stage(x)
2025-11-03T16:39:28.8924404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.8925016Z     out = self.conv3(out)
2025-11-03T16:39:28.8925661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8926333Z     x = F.conv2d(
2025-11-03T16:39:28.8926497Z 
2025-11-03T16:39:28.8926694Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8927699Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8928599Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8929275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8929872Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8930454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8931098Z     x = stage(x)
2025-11-03T16:39:28.8931653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.8932267Z     out = F.relu_(out)
2025-11-03T16:39:28.8932425Z 
2025-11-03T16:39:28.8932600Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8933380Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8934143Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8934782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8935443Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8936167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8936836Z     x = stage(x)
2025-11-03T16:39:28.8937454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.8938129Z     out = self.conv1(x)
2025-11-03T16:39:28.8938730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8939382Z     x = F.conv2d(
2025-11-03T16:39:28.8939541Z 
2025-11-03T16:39:28.8939703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8940475Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8941317Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8942017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8942711Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8943417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8944098Z     x = stage(x)
2025-11-03T16:39:28.8944832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.8945531Z     out = F.relu_(out)
2025-11-03T16:39:28.8945720Z 
2025-11-03T16:39:28.8945911Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8946822Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8947687Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8948401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8949102Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8949824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8950504Z     x = stage(x)
2025-11-03T16:39:28.8951132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.8951828Z     out = self.conv2(out)
2025-11-03T16:39:28.8952435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8953114Z     x = F.conv2d(
2025-11-03T16:39:28.8953268Z 
2025-11-03T16:39:28.8953435Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8954254Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8955057Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8955725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8956525Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8957165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8957799Z     x = stage(x)
2025-11-03T16:39:28.8958381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.8959055Z     out = F.relu_(out)
2025-11-03T16:39:28.8959236Z 
2025-11-03T16:39:28.8959416Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8960298Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8961123Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8961699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8962312Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8962917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8963492Z     x = stage(x)
2025-11-03T16:39:28.8964094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.8964776Z     out = self.conv3(out)
2025-11-03T16:39:28.8965380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8965987Z     x = F.conv2d(
2025-11-03T16:39:28.8966125Z 
2025-11-03T16:39:28.8966295Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8967097Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8967936Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8968624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8969306Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8970002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8970653Z     x = stage(x)
2025-11-03T16:39:28.8971265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.8971878Z     out = F.relu_(out)
2025-11-03T16:39:28.8972031Z 
2025-11-03T16:39:28.8972213Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8973018Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8973768Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8974425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8975082Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8975729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8976393Z     x = stage(x)
2025-11-03T16:39:28.8977082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.8977793Z     out = self.conv1(x)
2025-11-03T16:39:28.8978408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8979067Z     x = F.conv2d(
2025-11-03T16:39:28.8979232Z 
2025-11-03T16:39:28.8979419Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8980332Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8981184Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8981857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8982546Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8983239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8983950Z     x = stage(x)
2025-11-03T16:39:28.8984604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.8985455Z     out = F.relu_(out)
2025-11-03T16:39:28.8985649Z 
2025-11-03T16:39:28.8985858Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8987049Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8987996Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8988756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8989525Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8990563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8991322Z     x = stage(x)
2025-11-03T16:39:28.8991969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.8992673Z     out = self.conv2(out)
2025-11-03T16:39:28.8993296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.8993963Z     x = F.conv2d(
2025-11-03T16:39:28.8994130Z 
2025-11-03T16:39:28.8994331Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.8995261Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.8996138Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.8996864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.8997614Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.8998381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.8999103Z     x = stage(x)
2025-11-03T16:39:28.8999748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9000452Z     out = F.relu_(out)
2025-11-03T16:39:28.9000642Z 
2025-11-03T16:39:28.9000831Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9001729Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9002591Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9003311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9004176Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9004920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9005631Z     x = stage(x)
2025-11-03T16:39:28.9006287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9007000Z     out = self.conv3(out)
2025-11-03T16:39:28.9007636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9008379Z     x = F.conv2d(
2025-11-03T16:39:28.9008545Z 
2025-11-03T16:39:28.9008754Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9009668Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9010546Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9011273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9011989Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9012716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9013419Z     x = stage(x)
2025-11-03T16:39:28.9014059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:39:28.9014825Z     shortcut = self.shortcut(x)
2025-11-03T16:39:28.9015519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9016206Z     x = F.conv2d(
2025-11-03T16:39:28.9016380Z 
2025-11-03T16:39:28.9016584Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9017621Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9018532Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9019296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9020060Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9020820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9021553Z     x = stage(x)
2025-11-03T16:39:28.9022230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9022981Z     out = self.conv1(x)
2025-11-03T16:39:28.9023627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9024323Z     x = F.conv2d(
2025-11-03T16:39:28.9024506Z 
2025-11-03T16:39:28.9024840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9025794Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9026694Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9027431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9028176Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9028930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9029645Z     x = stage(x)
2025-11-03T16:39:28.9030303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9030995Z     out = F.relu_(out)
2025-11-03T16:39:28.9031186Z 
2025-11-03T16:39:28.9031381Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9032375Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9033246Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9033972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9034699Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9035441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9036184Z     x = stage(x)
2025-11-03T16:39:28.9036829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9037529Z     out = self.conv2(out)
2025-11-03T16:39:28.9038164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9038823Z     x = F.conv2d(
2025-11-03T16:39:28.9038985Z 
2025-11-03T16:39:28.9039188Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9040091Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9040947Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9041690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9042424Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9043167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9043848Z     x = stage(x)
2025-11-03T16:39:28.9044592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9045309Z     out = F.relu_(out)
2025-11-03T16:39:28.9045495Z 
2025-11-03T16:39:28.9045694Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9046623Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9047490Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9048247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9048994Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9049755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9050477Z     x = stage(x)
2025-11-03T16:39:28.9051115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9051827Z     out = self.conv3(out)
2025-11-03T16:39:28.9052466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9053122Z     x = F.conv2d(
2025-11-03T16:39:28.9053278Z 
2025-11-03T16:39:28.9053466Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9054342Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9055161Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9055880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9056621Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9057359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9058076Z     x = stage(x)
2025-11-03T16:39:28.9058750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9059419Z     out = F.relu_(out)
2025-11-03T16:39:28.9059592Z 
2025-11-03T16:39:28.9059783Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9060697Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9061580Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9062350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9063069Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9063801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9064491Z     x = stage(x)
2025-11-03T16:39:28.9065250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9065960Z     out = self.conv1(x)
2025-11-03T16:39:28.9066581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9067218Z     x = F.conv2d(
2025-11-03T16:39:28.9067395Z 
2025-11-03T16:39:28.9067587Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9068487Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9069333Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9070063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9070790Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9071630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9072333Z     x = stage(x)
2025-11-03T16:39:28.9072970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9073664Z     out = F.relu_(out)
2025-11-03T16:39:28.9073857Z 
2025-11-03T16:39:28.9074052Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9074963Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9075852Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9076580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9077307Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9078044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9078740Z     x = stage(x)
2025-11-03T16:39:28.9079383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9080089Z     out = self.conv2(out)
2025-11-03T16:39:28.9080716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9081355Z     x = F.conv2d(
2025-11-03T16:39:28.9081530Z 
2025-11-03T16:39:28.9081721Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9082626Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9083492Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9084216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9084961Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9085791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9086689Z     x = stage(x)
2025-11-03T16:39:28.9087323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9088024Z     out = F.relu_(out)
2025-11-03T16:39:28.9088215Z 
2025-11-03T16:39:28.9088408Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9089475Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9090341Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9091054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9091779Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9092509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9093209Z     x = stage(x)
2025-11-03T16:39:28.9093834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9094541Z     out = self.conv3(out)
2025-11-03T16:39:28.9095210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9095865Z     x = F.conv2d(
2025-11-03T16:39:28.9096028Z 
2025-11-03T16:39:28.9096232Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9097184Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9098283Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9099267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9099892Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9100561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9101223Z     x = stage(x)
2025-11-03T16:39:28.9101892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9102601Z     out = F.relu_(out)
2025-11-03T16:39:28.9102785Z 
2025-11-03T16:39:28.9102976Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9103864Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9104853Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9105623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9106387Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9107152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9107867Z     x = stage(x)
2025-11-03T16:39:28.9108526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9109258Z     out = self.conv1(x)
2025-11-03T16:39:28.9109914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9110596Z     x = F.conv2d(
2025-11-03T16:39:28.9110769Z 
2025-11-03T16:39:28.9110966Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9111938Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9112974Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9113725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9114467Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9115217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9115952Z     x = stage(x)
2025-11-03T16:39:28.9116615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9117384Z     out = F.relu_(out)
2025-11-03T16:39:28.9117577Z 
2025-11-03T16:39:28.9117769Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9118691Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9119571Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9120310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9121040Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9121769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9122465Z     x = stage(x)
2025-11-03T16:39:28.9123112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9123826Z     out = self.conv2(out)
2025-11-03T16:39:28.9124455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9125113Z     x = F.conv2d(
2025-11-03T16:39:28.9125287Z 
2025-11-03T16:39:28.9125480Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9126482Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9127367Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9128082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9128801Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9129540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9130242Z     x = stage(x)
2025-11-03T16:39:28.9130882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9131571Z     out = F.relu_(out)
2025-11-03T16:39:28.9131762Z 
2025-11-03T16:39:28.9131948Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9132864Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9133736Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9134466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9135191Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9135929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9136630Z     x = stage(x)
2025-11-03T16:39:28.9137266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9137964Z     out = self.conv3(out)
2025-11-03T16:39:28.9138599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9139246Z     x = F.conv2d(
2025-11-03T16:39:28.9139417Z 
2025-11-03T16:39:28.9139683Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9140613Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9141496Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9142223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9142957Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9143765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9144507Z     x = stage(x)
2025-11-03T16:39:28.9145274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9146008Z     out = F.relu_(out)
2025-11-03T16:39:28.9146199Z 
2025-11-03T16:39:28.9146415Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9147370Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9148265Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9149022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9149772Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9150541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9151276Z     x = stage(x)
2025-11-03T16:39:28.9151920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9152641Z     out = self.conv1(x)
2025-11-03T16:39:28.9153376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9154057Z     x = F.conv2d(
2025-11-03T16:39:28.9154226Z 
2025-11-03T16:39:28.9154422Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9155372Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9156267Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9157016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9157767Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9158519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9159243Z     x = stage(x)
2025-11-03T16:39:28.9159906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9160641Z     out = F.relu_(out)
2025-11-03T16:39:28.9160830Z 
2025-11-03T16:39:28.9161037Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9161959Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9162857Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9163622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9164376Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9165137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9165841Z     x = stage(x)
2025-11-03T16:39:28.9166469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9167270Z     out = self.conv2(out)
2025-11-03T16:39:28.9167936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9168608Z     x = F.conv2d(
2025-11-03T16:39:28.9168788Z 
2025-11-03T16:39:28.9168986Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9169936Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9170842Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9171642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9172379Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9173141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9173869Z     x = stage(x)
2025-11-03T16:39:28.9174541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9175254Z     out = F.relu_(out)
2025-11-03T16:39:28.9175457Z 
2025-11-03T16:39:28.9175664Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9176583Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9177492Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9178216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9178954Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9179717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9180446Z     x = stage(x)
2025-11-03T16:39:28.9181211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9181952Z     out = self.conv3(out)
2025-11-03T16:39:28.9182629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9183305Z     x = F.conv2d(
2025-11-03T16:39:28.9183489Z 
2025-11-03T16:39:28.9183686Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9184612Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9185664Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9186733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9187485Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9188269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9188990Z     x = stage(x)
2025-11-03T16:39:28.9189642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:39:28.9190398Z     shortcut = self.shortcut(x)
2025-11-03T16:39:28.9191079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9191758Z     x = F.conv2d(
2025-11-03T16:39:28.9191931Z 
2025-11-03T16:39:28.9192143Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9193080Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9193976Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9194739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9195662Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9196407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9197120Z     x = stage(x)
2025-11-03T16:39:28.9197783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9198486Z     out = self.conv1(x)
2025-11-03T16:39:28.9199062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9199782Z     x = F.conv2d(
2025-11-03T16:39:28.9199963Z 
2025-11-03T16:39:28.9200163Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9201096Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9201999Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9202765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9203515Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9204289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9205010Z     x = stage(x)
2025-11-03T16:39:28.9205683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9206410Z     out = F.relu_(out)
2025-11-03T16:39:28.9206613Z 
2025-11-03T16:39:28.9206819Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9207782Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9208838Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9209611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9210341Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9211105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9211823Z     x = stage(x)
2025-11-03T16:39:28.9212473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9213207Z     out = self.conv2(out)
2025-11-03T16:39:28.9213853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9214533Z     x = F.conv2d(
2025-11-03T16:39:28.9214707Z 
2025-11-03T16:39:28.9214904Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9215860Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9216749Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9217496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9218244Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9219004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9219732Z     x = stage(x)
2025-11-03T16:39:28.9220384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9221106Z     out = F.relu_(out)
2025-11-03T16:39:28.9221305Z 
2025-11-03T16:39:28.9221502Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9222440Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9223407Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9224152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9225019Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9225778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9226495Z     x = stage(x)
2025-11-03T16:39:28.9227209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9227939Z     out = self.conv3(out)
2025-11-03T16:39:28.9228599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9229266Z     x = F.conv2d(
2025-11-03T16:39:28.9229439Z 
2025-11-03T16:39:28.9229650Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9230608Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9231516Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9232266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9233017Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9233774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9234496Z     x = stage(x)
2025-11-03T16:39:28.9235163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9235900Z     out = F.relu_(out)
2025-11-03T16:39:28.9236091Z 
2025-11-03T16:39:28.9236399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9237360Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9238243Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9238991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9239739Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9240513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9241233Z     x = stage(x)
2025-11-03T16:39:28.9241903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9242638Z     out = self.conv1(x)
2025-11-03T16:39:28.9243286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9243945Z     x = F.conv2d(
2025-11-03T16:39:28.9244118Z 
2025-11-03T16:39:28.9244310Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9245237Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9246118Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9246877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9247614Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9248362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9249080Z     x = stage(x)
2025-11-03T16:39:28.9249752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9250475Z     out = F.relu_(out)
2025-11-03T16:39:28.9250722Z 
2025-11-03T16:39:28.9250915Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9251848Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9252698Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9253423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9254212Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9254969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9255704Z     x = stage(x)
2025-11-03T16:39:28.9256377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9257121Z     out = self.conv2(out)
2025-11-03T16:39:28.9257766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9258438Z     x = F.conv2d(
2025-11-03T16:39:28.9258622Z 
2025-11-03T16:39:28.9258823Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9259725Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9260598Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9261343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9262074Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9262811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9263522Z     x = stage(x)
2025-11-03T16:39:28.9264266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9265114Z     out = F.relu_(out)
2025-11-03T16:39:28.9265318Z 
2025-11-03T16:39:28.9265520Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9266473Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9267378Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9268128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9268889Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9269640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9270301Z     x = stage(x)
2025-11-03T16:39:28.9270961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9271694Z     out = self.conv3(out)
2025-11-03T16:39:28.9272362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9273054Z     x = F.conv2d(
2025-11-03T16:39:28.9273260Z 
2025-11-03T16:39:28.9273447Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9274375Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9275251Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9276015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9276744Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9277500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9278285Z     x = stage(x)
2025-11-03T16:39:28.9278939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9279652Z     out = F.relu_(out)
2025-11-03T16:39:28.9279836Z 
2025-11-03T16:39:28.9280046Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9281011Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9281938Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9282695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9283454Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9284229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9284945Z     x = stage(x)
2025-11-03T16:39:28.9285608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9286592Z     out = self.conv1(x)
2025-11-03T16:39:28.9287265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9287957Z     x = F.conv2d(
2025-11-03T16:39:28.9288130Z 
2025-11-03T16:39:28.9288329Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9289299Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9290220Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9290987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9291954Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9292739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9293474Z     x = stage(x)
2025-11-03T16:39:28.9294140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9294878Z     out = F.relu_(out)
2025-11-03T16:39:28.9295070Z 
2025-11-03T16:39:28.9295275Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9296217Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9297127Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9297871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9298626Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9299407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9300129Z     x = stage(x)
2025-11-03T16:39:28.9300802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9301552Z     out = self.conv2(out)
2025-11-03T16:39:28.9302220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9302884Z     x = F.conv2d(
2025-11-03T16:39:28.9303066Z 
2025-11-03T16:39:28.9303269Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9304230Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9305253Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9306026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9306860Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9307642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9308380Z     x = stage(x)
2025-11-03T16:39:28.9309060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9309783Z     out = F.relu_(out)
2025-11-03T16:39:28.9310039Z 
2025-11-03T16:39:28.9310239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9311200Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9312119Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9312871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9313569Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9314299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9315042Z     x = stage(x)
2025-11-03T16:39:28.9315692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9316431Z     out = self.conv3(out)
2025-11-03T16:39:28.9317089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9317807Z     x = F.conv2d(
2025-11-03T16:39:28.9317988Z 
2025-11-03T16:39:28.9318190Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9319142Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9320098Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9320825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9321562Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9322301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9323011Z     x = stage(x)
2025-11-03T16:39:28.9323662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9324389Z     out = F.relu_(out)
2025-11-03T16:39:28.9324587Z 
2025-11-03T16:39:28.9324786Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9325730Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9326645Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9327364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9328063Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9328804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9329505Z     x = stage(x)
2025-11-03T16:39:28.9330144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9330854Z     out = self.conv1(x)
2025-11-03T16:39:28.9331492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9332155Z     x = F.conv2d(
2025-11-03T16:39:28.9332322Z 
2025-11-03T16:39:28.9332523Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9333453Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9334376Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9335085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9335811Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9336545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9337272Z     x = stage(x)
2025-11-03T16:39:28.9337922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9338634Z     out = F.relu_(out)
2025-11-03T16:39:28.9338817Z 
2025-11-03T16:39:28.9339026Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9339945Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9340822Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9341547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9342269Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9343010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9343713Z     x = stage(x)
2025-11-03T16:39:28.9344390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9345247Z     out = self.conv2(out)
2025-11-03T16:39:28.9345934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9346597Z     x = F.conv2d(
2025-11-03T16:39:28.9346772Z 
2025-11-03T16:39:28.9347062Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9348020Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9348930Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9349681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9350419Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9351182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9351911Z     x = stage(x)
2025-11-03T16:39:28.9352581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9353322Z     out = F.relu_(out)
2025-11-03T16:39:28.9353512Z 
2025-11-03T16:39:28.9353719Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9354678Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9355579Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9356331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9357084Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9357839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9358579Z     x = stage(x)
2025-11-03T16:39:28.9359366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9360295Z     out = self.conv3(out)
2025-11-03T16:39:28.9361127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9362034Z     x = F.conv2d(
2025-11-03T16:39:28.9362241Z 
2025-11-03T16:39:28.9362476Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9363701Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9364635Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9365272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9365955Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9366655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9367312Z     x = stage(x)
2025-11-03T16:39:28.9367942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9368630Z     out = F.relu_(out)
2025-11-03T16:39:28.9368829Z 
2025-11-03T16:39:28.9369011Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9369880Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9370856Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9371711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9372404Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9373114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9373834Z     x = stage(x)
2025-11-03T16:39:28.9374483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9375290Z     out = self.conv1(x)
2025-11-03T16:39:28.9375914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9376578Z     x = F.conv2d(
2025-11-03T16:39:28.9376747Z 
2025-11-03T16:39:28.9376950Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9377881Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9378776Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9379543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9380314Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9381074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9381790Z     x = stage(x)
2025-11-03T16:39:28.9382463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9383193Z     out = F.relu_(out)
2025-11-03T16:39:28.9383381Z 
2025-11-03T16:39:28.9383589Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9384535Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9385594Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9386507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9387212Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9387996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9388728Z     x = stage(x)
2025-11-03T16:39:28.9389404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9390310Z     out = self.conv2(out)
2025-11-03T16:39:28.9390969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9391642Z     x = F.conv2d(
2025-11-03T16:39:28.9391815Z 
2025-11-03T16:39:28.9392016Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9392970Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9394721Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9395490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9396256Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9397028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9397741Z     x = stage(x)
2025-11-03T16:39:28.9398387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9399088Z     out = F.relu_(out)
2025-11-03T16:39:28.9399264Z 
2025-11-03T16:39:28.9399451Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9400331Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9401210Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9401936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9402656Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9403507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9404200Z     x = stage(x)
2025-11-03T16:39:28.9404845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9405547Z     out = self.conv3(out)
2025-11-03T16:39:28.9406194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9406868Z     x = F.conv2d(
2025-11-03T16:39:28.9407049Z 
2025-11-03T16:39:28.9407245Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9408215Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9409133Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9409914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9410648Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9411425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9412159Z     x = stage(x)
2025-11-03T16:39:28.9412847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9413585Z     out = F.relu_(out)
2025-11-03T16:39:28.9413801Z 
2025-11-03T16:39:28.9414001Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9414986Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9415901Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9416660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9417424Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9418245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9418976Z     x = stage(x)
2025-11-03T16:39:28.9419645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9420395Z     out = self.conv1(x)
2025-11-03T16:39:28.9421036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9421781Z     x = F.conv2d(
2025-11-03T16:39:28.9421961Z 
2025-11-03T16:39:28.9422160Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9423118Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9424051Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9424943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9425730Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9426497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9427231Z     x = stage(x)
2025-11-03T16:39:28.9427910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9428652Z     out = F.relu_(out)
2025-11-03T16:39:28.9428859Z 
2025-11-03T16:39:28.9429058Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9430035Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9430964Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9431785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9432527Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9433280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9433993Z     x = stage(x)
2025-11-03T16:39:28.9434634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9435367Z     out = self.conv2(out)
2025-11-03T16:39:28.9436006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9436679Z     x = F.conv2d(
2025-11-03T16:39:28.9436844Z 
2025-11-03T16:39:28.9437043Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9437966Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9438852Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9439578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9440313Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9441060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9441753Z     x = stage(x)
2025-11-03T16:39:28.9442394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9443115Z     out = F.relu_(out)
2025-11-03T16:39:28.9443300Z 
2025-11-03T16:39:28.9443503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9444426Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9445320Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9446096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9446833Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9447583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9448289Z     x = stage(x)
2025-11-03T16:39:28.9448940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9449696Z     out = self.conv3(out)
2025-11-03T16:39:28.9450347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9451012Z     x = F.conv2d(
2025-11-03T16:39:28.9451178Z 
2025-11-03T16:39:28.9451375Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9452337Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9453261Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9453954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9454683Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9455430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9456146Z     x = stage(x)
2025-11-03T16:39:28.9456791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9457470Z     out = F.relu_(out)
2025-11-03T16:39:28.9457647Z 
2025-11-03T16:39:28.9457836Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9458799Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9459650Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9460347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9461092Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9461827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9462548Z     x = stage(x)
2025-11-03T16:39:28.9463205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9463912Z     out = self.conv1(x)
2025-11-03T16:39:28.9464518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9465276Z     x = F.conv2d(
2025-11-03T16:39:28.9465461Z 
2025-11-03T16:39:28.9465651Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9466583Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9467458Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9468186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9468918Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9469677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9470384Z     x = stage(x)
2025-11-03T16:39:28.9471043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9471708Z     out = F.relu_(out)
2025-11-03T16:39:28.9471917Z 
2025-11-03T16:39:28.9472120Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9473171Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9474080Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9474827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9475554Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9476292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9477028Z     x = stage(x)
2025-11-03T16:39:28.9477677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9478398Z     out = self.conv2(out)
2025-11-03T16:39:28.9479073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9479726Z     x = F.conv2d(
2025-11-03T16:39:28.9479895Z 
2025-11-03T16:39:28.9480097Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9481009Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9481947Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9482714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9483456Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9484199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9484902Z     x = stage(x)
2025-11-03T16:39:28.9485642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9486622Z     out = F.relu_(out)
2025-11-03T16:39:28.9486806Z 
2025-11-03T16:39:28.9487003Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9487912Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9488771Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9489523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9490273Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9491004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9491694Z     x = stage(x)
2025-11-03T16:39:28.9492310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9493022Z     out = self.conv3(out)
2025-11-03T16:39:28.9493634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9494270Z     x = F.conv2d(
2025-11-03T16:39:28.9494429Z 
2025-11-03T16:39:28.9494615Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9495526Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9496394Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9497123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9497855Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9498610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9499332Z     x = stage(x)
2025-11-03T16:39:28.9500146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9500881Z     out = F.relu_(out)
2025-11-03T16:39:28.9501070Z 
2025-11-03T16:39:28.9501276Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9502217Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9503109Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9503966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9504801Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9505558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9506266Z     x = stage(x)
2025-11-03T16:39:28.9506942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9507670Z     out = self.conv1(x)
2025-11-03T16:39:28.9508313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9509003Z     x = F.conv2d(
2025-11-03T16:39:28.9509183Z 
2025-11-03T16:39:28.9509381Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9510337Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9511255Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9512009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9512743Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9513623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9514338Z     x = stage(x)
2025-11-03T16:39:28.9514989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9515674Z     out = F.relu_(out)
2025-11-03T16:39:28.9515866Z 
2025-11-03T16:39:28.9516057Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9517009Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9517905Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9518655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9519361Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9520095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9520791Z     x = stage(x)
2025-11-03T16:39:28.9521441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9522153Z     out = self.conv2(out)
2025-11-03T16:39:28.9522775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9523424Z     x = F.conv2d(
2025-11-03T16:39:28.9523592Z 
2025-11-03T16:39:28.9523781Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9524690Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9525559Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9526278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9527069Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9527808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9528504Z     x = stage(x)
2025-11-03T16:39:28.9529127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9529848Z     out = F.relu_(out)
2025-11-03T16:39:28.9530042Z 
2025-11-03T16:39:28.9530237Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9531209Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9532065Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9532793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9533544Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9534320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9535045Z     x = stage(x)
2025-11-03T16:39:28.9535708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9536428Z     out = self.conv3(out)
2025-11-03T16:39:28.9537067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9537745Z     x = F.conv2d(
2025-11-03T16:39:28.9537754Z 
2025-11-03T16:39:28.9537952Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9538595Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9538738Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9539289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9539432Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9539914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9540023Z     x = stage(x)
2025-11-03T16:39:28.9540501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9540615Z     out = F.relu_(out)
2025-11-03T16:39:28.9540626Z 
2025-11-03T16:39:28.9540823Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9541445Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9541605Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9542093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9542250Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9542746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9542849Z     x = stage(x)
2025-11-03T16:39:28.9543343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9543458Z     out = self.conv1(x)
2025-11-03T16:39:28.9543908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9544013Z     x = F.conv2d(
2025-11-03T16:39:28.9544022Z 
2025-11-03T16:39:28.9544230Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9544981Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9545196Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9545668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9545813Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9546311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9546417Z     x = stage(x)
2025-11-03T16:39:28.9546910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9547074Z     out = F.relu_(out)
2025-11-03T16:39:28.9547083Z 
2025-11-03T16:39:28.9547280Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9547931Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9548083Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9548570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9548713Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9549199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9549313Z     x = stage(x)
2025-11-03T16:39:28.9549792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9549915Z     out = self.conv2(out)
2025-11-03T16:39:28.9550345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9550450Z     x = F.conv2d(
2025-11-03T16:39:28.9550456Z 
2025-11-03T16:39:28.9550965Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9551628Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9551778Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9552226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9552372Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9552829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9552926Z     x = stage(x)
2025-11-03T16:39:28.9553403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9553512Z     out = F.relu_(out)
2025-11-03T16:39:28.9553520Z 
2025-11-03T16:39:28.9553723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9554329Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9554473Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9554945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9555085Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9555565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9555668Z     x = stage(x)
2025-11-03T16:39:28.9556148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9556262Z     out = self.conv3(out)
2025-11-03T16:39:28.9556698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9556807Z     x = F.conv2d(
2025-11-03T16:39:28.9556854Z 
2025-11-03T16:39:28.9557045Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9557662Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9557793Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9558264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9558414Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9558949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9559068Z     x = stage(x)
2025-11-03T16:39:28.9559550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9559674Z     out = F.relu_(out)
2025-11-03T16:39:28.9559681Z 
2025-11-03T16:39:28.9559884Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9560492Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9560644Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9561122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9561276Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9561761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9561863Z     x = stage(x)
2025-11-03T16:39:28.9562345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9562453Z     out = self.conv1(x)
2025-11-03T16:39:28.9562963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9563064Z     x = F.conv2d(
2025-11-03T16:39:28.9563072Z 
2025-11-03T16:39:28.9563267Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9563872Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9564013Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9564490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9564630Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9565107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9565206Z     x = stage(x)
2025-11-03T16:39:28.9565675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9565789Z     out = F.relu_(out)
2025-11-03T16:39:28.9565795Z 
2025-11-03T16:39:28.9565975Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9566598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9566743Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9567197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9567351Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9567833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9567934Z     x = stage(x)
2025-11-03T16:39:28.9568401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9568584Z     out = self.conv2(out)
2025-11-03T16:39:28.9569003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9569104Z     x = F.conv2d(
2025-11-03T16:39:28.9569111Z 
2025-11-03T16:39:28.9569316Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9569931Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9570118Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9570581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9570724Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9571205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9571307Z     x = stage(x)
2025-11-03T16:39:28.9571801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9571906Z     out = F.relu_(out)
2025-11-03T16:39:28.9571913Z 
2025-11-03T16:39:28.9572110Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9572706Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9572847Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9573322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9573455Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9573943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9574042Z     x = stage(x)
2025-11-03T16:39:28.9574595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9574720Z     out = self.conv3(out)
2025-11-03T16:39:28.9575151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9575257Z     x = F.conv2d(
2025-11-03T16:39:28.9575264Z 
2025-11-03T16:39:28.9575453Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9576063Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9576206Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9576664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9576805Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9577273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9577404Z     x = stage(x)
2025-11-03T16:39:28.9577874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9577979Z     out = F.relu_(out)
2025-11-03T16:39:28.9577984Z 
2025-11-03T16:39:28.9578183Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9578770Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9578928Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9579402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9579545Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9580042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9580182Z     x = stage(x)
2025-11-03T16:39:28.9580674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9580788Z     out = self.conv1(x)
2025-11-03T16:39:28.9581236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9581338Z     x = F.conv2d(
2025-11-03T16:39:28.9581346Z 
2025-11-03T16:39:28.9581539Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9582205Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9582350Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9582842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9582987Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9583478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9583585Z     x = stage(x)
2025-11-03T16:39:28.9584074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9584186Z     out = F.relu_(out)
2025-11-03T16:39:28.9584193Z 
2025-11-03T16:39:28.9584388Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9585138Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9585293Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9585772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9586001Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9586681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9586800Z     x = stage(x)
2025-11-03T16:39:28.9587304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9587425Z     out = self.conv2(out)
2025-11-03T16:39:28.9587880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9587984Z     x = F.conv2d(
2025-11-03T16:39:28.9587992Z 
2025-11-03T16:39:28.9588194Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9588825Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9588982Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9589456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9589592Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9590083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9590182Z     x = stage(x)
2025-11-03T16:39:28.9590675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9590788Z     out = F.relu_(out)
2025-11-03T16:39:28.9590795Z 
2025-11-03T16:39:28.9590981Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9591612Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9591758Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9592248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9592500Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9592989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9593093Z     x = stage(x)
2025-11-03T16:39:28.9593572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9593700Z     out = self.conv3(out)
2025-11-03T16:39:28.9594212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9594325Z     x = F.conv2d(
2025-11-03T16:39:28.9594332Z 
2025-11-03T16:39:28.9594543Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9595185Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9595344Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9595821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9595974Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9596466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9596565Z     x = stage(x)
2025-11-03T16:39:28.9597051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9597163Z     out = F.relu_(out)
2025-11-03T16:39:28.9597170Z 
2025-11-03T16:39:28.9597375Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9598108Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9598266Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9598739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9598888Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9599384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9599479Z     x = stage(x)
2025-11-03T16:39:28.9599968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9600084Z     out = self.conv1(x)
2025-11-03T16:39:28.9600524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9600631Z     x = F.conv2d(
2025-11-03T16:39:28.9600638Z 
2025-11-03T16:39:28.9600828Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9601461Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9601607Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9602085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9602222Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9602717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9602836Z     x = stage(x)
2025-11-03T16:39:28.9603329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9603445Z     out = F.relu_(out)
2025-11-03T16:39:28.9603452Z 
2025-11-03T16:39:28.9603648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9604270Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9604464Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9604938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9605092Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9605570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9605712Z     x = stage(x)
2025-11-03T16:39:28.9606203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9606326Z     out = self.conv2(out)
2025-11-03T16:39:28.9606782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9606889Z     x = F.conv2d(
2025-11-03T16:39:28.9606900Z 
2025-11-03T16:39:28.9607102Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9607731Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9607879Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9608369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9608515Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9609017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9609117Z     x = stage(x)
2025-11-03T16:39:28.9609614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9609734Z     out = F.relu_(out)
2025-11-03T16:39:28.9609828Z 
2025-11-03T16:39:28.9610028Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9610671Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9610819Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9611300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9611441Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9611933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9612049Z     x = stage(x)
2025-11-03T16:39:28.9612549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9612673Z     out = self.conv3(out)
2025-11-03T16:39:28.9613117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9613215Z     x = F.conv2d(
2025-11-03T16:39:28.9613222Z 
2025-11-03T16:39:28.9613419Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9614036Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9614185Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9614659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9614808Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9615293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9615392Z     x = stage(x)
2025-11-03T16:39:28.9615896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9616043Z     out = F.relu_(out)
2025-11-03T16:39:28.9616051Z 
2025-11-03T16:39:28.9616260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9616885Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9617030Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9617515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9617691Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9618197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9618297Z     x = stage(x)
2025-11-03T16:39:28.9618812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9618923Z     out = self.conv1(x)
2025-11-03T16:39:28.9619364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9619476Z     x = F.conv2d(
2025-11-03T16:39:28.9619484Z 
2025-11-03T16:39:28.9619677Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9620311Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9620458Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9620931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9621081Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9621555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9621723Z     x = stage(x)
2025-11-03T16:39:28.9622217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9622326Z     out = F.relu_(out)
2025-11-03T16:39:28.9622342Z 
2025-11-03T16:39:28.9622536Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9623153Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9623303Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9623786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9623938Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9624415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9624520Z     x = stage(x)
2025-11-03T16:39:28.9625158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9625279Z     out = self.conv2(out)
2025-11-03T16:39:28.9625748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9625849Z     x = F.conv2d(
2025-11-03T16:39:28.9625856Z 
2025-11-03T16:39:28.9626039Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9626670Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9626813Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9627287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9627428Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9627918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9628067Z     x = stage(x)
2025-11-03T16:39:28.9628555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9628671Z     out = F.relu_(out)
2025-11-03T16:39:28.9628678Z 
2025-11-03T16:39:28.9628866Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9629501Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9629689Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9630160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9630314Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9630796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9630909Z     x = stage(x)
2025-11-03T16:39:28.9631400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9631527Z     out = self.conv3(out)
2025-11-03T16:39:28.9631975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9632075Z     x = F.conv2d(
2025-11-03T16:39:28.9632082Z 
2025-11-03T16:39:28.9632288Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9632912Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9633068Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9633625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9633776Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9634287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9634389Z     x = stage(x)
2025-11-03T16:39:28.9634908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9635018Z     out = F.relu_(out)
2025-11-03T16:39:28.9635025Z 
2025-11-03T16:39:28.9635221Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9635853Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9635999Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9636495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9636638Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9637141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9637239Z     x = stage(x)
2025-11-03T16:39:28.9637711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9637831Z     out = self.conv1(x)
2025-11-03T16:39:28.9638268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9638381Z     x = F.conv2d(
2025-11-03T16:39:28.9638388Z 
2025-11-03T16:39:28.9638584Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9639206Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9639366Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9639879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9640037Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9640525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9640634Z     x = stage(x)
2025-11-03T16:39:28.9641123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9641265Z     out = F.relu_(out)
2025-11-03T16:39:28.9641271Z 
2025-11-03T16:39:28.9641471Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9642107Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9642261Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9642740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9642889Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9643388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9643487Z     x = stage(x)
2025-11-03T16:39:28.9643993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9644111Z     out = self.conv2(out)
2025-11-03T16:39:28.9644565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9644664Z     x = F.conv2d(
2025-11-03T16:39:28.9644671Z 
2025-11-03T16:39:28.9644864Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9645575Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9645725Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9646187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9646333Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9646826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9646934Z     x = stage(x)
2025-11-03T16:39:28.9647422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9647535Z     out = F.relu_(out)
2025-11-03T16:39:28.9647540Z 
2025-11-03T16:39:28.9647721Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9648338Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9648482Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9648966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9649120Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9649593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9649701Z     x = stage(x)
2025-11-03T16:39:28.9650188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9650306Z     out = self.conv3(out)
2025-11-03T16:39:28.9650761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9650858Z     x = F.conv2d(
2025-11-03T16:39:28.9650863Z 
2025-11-03T16:39:28.9651060Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9651714Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9651864Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9652333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9652469Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9652966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9653094Z     x = stage(x)
2025-11-03T16:39:28.9653596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9653706Z     out = F.relu_(out)
2025-11-03T16:39:28.9653713Z 
2025-11-03T16:39:28.9653914Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9654556Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9654703Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9655183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9655323Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9655812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9655924Z     x = stage(x)
2025-11-03T16:39:28.9656415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9656536Z     out = self.conv1(x)
2025-11-03T16:39:28.9656982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9657171Z     x = F.conv2d(
2025-11-03T16:39:28.9657192Z 
2025-11-03T16:39:28.9657390Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9658007Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9658168Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9658657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9658809Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9659293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9659395Z     x = stage(x)
2025-11-03T16:39:28.9659906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9660020Z     out = F.relu_(out)
2025-11-03T16:39:28.9660029Z 
2025-11-03T16:39:28.9660236Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9660861Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9661012Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9661478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9661618Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9662119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9662225Z     x = stage(x)
2025-11-03T16:39:28.9662716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9662832Z     out = self.conv2(out)
2025-11-03T16:39:28.9663273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9663421Z     x = F.conv2d(
2025-11-03T16:39:28.9663427Z 
2025-11-03T16:39:28.9663622Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9664255Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9664401Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9664993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9665214Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9665705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9665820Z     x = stage(x)
2025-11-03T16:39:28.9666317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9666440Z     out = F.relu_(out)
2025-11-03T16:39:28.9666449Z 
2025-11-03T16:39:28.9666646Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9667242Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9667397Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9667885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9668040Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9668533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9668634Z     x = stage(x)
2025-11-03T16:39:28.9669182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9669307Z     out = self.conv3(out)
2025-11-03T16:39:28.9669767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9669870Z     x = F.conv2d(
2025-11-03T16:39:28.9669877Z 
2025-11-03T16:39:28.9670081Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9670705Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9670856Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9671348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9671486Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9671977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9672074Z     x = stage(x)
2025-11-03T16:39:28.9672562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9672676Z     out = F.relu_(out)
2025-11-03T16:39:28.9672683Z 
2025-11-03T16:39:28.9672873Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9673488Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9673634Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9674112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9674248Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9674716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9674828Z     x = stage(x)
2025-11-03T16:39:28.9675349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9675473Z     out = self.conv1(x)
2025-11-03T16:39:28.9675931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9676030Z     x = F.conv2d(
2025-11-03T16:39:28.9676037Z 
2025-11-03T16:39:28.9676245Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9676878Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9677059Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9677531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9677669Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9678184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9678285Z     x = stage(x)
2025-11-03T16:39:28.9678781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9678886Z     out = F.relu_(out)
2025-11-03T16:39:28.9678893Z 
2025-11-03T16:39:28.9679093Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9679727Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9679879Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9680372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9680512Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9681064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9681171Z     x = stage(x)
2025-11-03T16:39:28.9681673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9681802Z     out = self.conv2(out)
2025-11-03T16:39:28.9682251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9682360Z     x = F.conv2d(
2025-11-03T16:39:28.9682369Z 
2025-11-03T16:39:28.9682565Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9683208Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9683354Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9683836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9683993Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9684479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9684589Z     x = stage(x)
2025-11-03T16:39:28.9685084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9685194Z     out = F.relu_(out)
2025-11-03T16:39:28.9685201Z 
2025-11-03T16:39:28.9685408Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9686035Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9686388Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9686866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9687127Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9687616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9687725Z     x = stage(x)
2025-11-03T16:39:28.9688219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9688338Z     out = self.conv3(out)
2025-11-03T16:39:28.9688789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9688957Z     x = F.conv2d(
2025-11-03T16:39:28.9688965Z 
2025-11-03T16:39:28.9689162Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9689802Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9689956Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9690459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9690597Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9691080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9691227Z     x = stage(x)
2025-11-03T16:39:28.9691709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9691835Z     out = F.relu_(out)
2025-11-03T16:39:28.9691842Z 
2025-11-03T16:39:28.9692031Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9692669Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9692909Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9693396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9693550Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9694047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9694158Z     x = stage(x)
2025-11-03T16:39:28.9694659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9694777Z     out = self.conv1(x)
2025-11-03T16:39:28.9695229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9695331Z     x = F.conv2d(
2025-11-03T16:39:28.9695339Z 
2025-11-03T16:39:28.9695540Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9696169Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9696323Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9696798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9696940Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9697449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9697549Z     x = stage(x)
2025-11-03T16:39:28.9698032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9698137Z     out = F.relu_(out)
2025-11-03T16:39:28.9698143Z 
2025-11-03T16:39:28.9698331Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9698965Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9699145Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9699611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9699739Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9700210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9700302Z     x = stage(x)
2025-11-03T16:39:28.9700759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9700945Z     out = self.conv2(out)
2025-11-03T16:39:28.9701394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9701501Z     x = F.conv2d(
2025-11-03T16:39:28.9701507Z 
2025-11-03T16:39:28.9701687Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9702320Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9702470Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9702945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9703095Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9703579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9703677Z     x = stage(x)
2025-11-03T16:39:28.9704166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9704267Z     out = F.relu_(out)
2025-11-03T16:39:28.9704276Z 
2025-11-03T16:39:28.9704526Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9705243Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9705406Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9705872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9706009Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9706508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9706612Z     x = stage(x)
2025-11-03T16:39:28.9707098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9707218Z     out = self.conv3(out)
2025-11-03T16:39:28.9707654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9707764Z     x = F.conv2d(
2025-11-03T16:39:28.9707773Z 
2025-11-03T16:39:28.9707971Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9708594Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9708742Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9709238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9709389Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9709875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9709988Z     x = stage(x)
2025-11-03T16:39:28.9710474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9710597Z     out = F.relu_(out)
2025-11-03T16:39:28.9710648Z 
2025-11-03T16:39:28.9710843Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9711463Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9711613Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9712090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9712248Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9712772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9712881Z     x = stage(x)
2025-11-03T16:39:28.9713373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9713477Z     out = self.conv1(x)
2025-11-03T16:39:28.9713936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9714039Z     x = F.conv2d(
2025-11-03T16:39:28.9714047Z 
2025-11-03T16:39:28.9714252Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9714877Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9715026Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9715529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9715677Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9716199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9716299Z     x = stage(x)
2025-11-03T16:39:28.9716829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9716945Z     out = F.relu_(out)
2025-11-03T16:39:28.9716952Z 
2025-11-03T16:39:28.9717141Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9717776Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9717934Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9718401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9718533Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9718989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9719095Z     x = stage(x)
2025-11-03T16:39:28.9719569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9719693Z     out = self.conv2(out)
2025-11-03T16:39:28.9720127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9720228Z     x = F.conv2d(
2025-11-03T16:39:28.9720245Z 
2025-11-03T16:39:28.9720431Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9721045Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9721201Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9721666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9721812Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9722292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9722430Z     x = stage(x)
2025-11-03T16:39:28.9722929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9723039Z     out = F.relu_(out)
2025-11-03T16:39:28.9723046Z 
2025-11-03T16:39:28.9723251Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9723863Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9724042Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9724515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9724659Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9725152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9725253Z     x = stage(x)
2025-11-03T16:39:28.9725726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9725841Z     out = self.conv3(out)
2025-11-03T16:39:28.9726266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9726379Z     x = F.conv2d(
2025-11-03T16:39:28.9726386Z 
2025-11-03T16:39:28.9726576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9727182Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9727327Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9727780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9727986Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9728462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9728568Z     x = stage(x)
2025-11-03T16:39:28.9729035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9729140Z     out = F.relu_(out)
2025-11-03T16:39:28.9729156Z 
2025-11-03T16:39:28.9729342Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9729955Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9730110Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9730558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9730703Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9731176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9731274Z     x = stage(x)
2025-11-03T16:39:28.9731753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9731849Z     out = self.conv1(x)
2025-11-03T16:39:28.9732279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9732372Z     x = F.conv2d(
2025-11-03T16:39:28.9732384Z 
2025-11-03T16:39:28.9732567Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9733163Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9733303Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9733766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9733940Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9734426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9734524Z     x = stage(x)
2025-11-03T16:39:28.9735009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9735129Z     out = F.relu_(out)
2025-11-03T16:39:28.9735136Z 
2025-11-03T16:39:28.9735365Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9736012Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9736160Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9736632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9736785Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9737277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9737390Z     x = stage(x)
2025-11-03T16:39:28.9737887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9738012Z     out = self.conv2(out)
2025-11-03T16:39:28.9738460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9738560Z     x = F.conv2d(
2025-11-03T16:39:28.9738566Z 
2025-11-03T16:39:28.9738767Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9739404Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9739619Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9740112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9740256Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9740765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9740870Z     x = stage(x)
2025-11-03T16:39:28.9741375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9741491Z     out = F.relu_(out)
2025-11-03T16:39:28.9741500Z 
2025-11-03T16:39:28.9741705Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9742337Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9742489Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9742981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9743121Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9743602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9743702Z     x = stage(x)
2025-11-03T16:39:28.9744187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9744318Z     out = self.conv3(out)
2025-11-03T16:39:28.9744865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9744981Z     x = F.conv2d(
2025-11-03T16:39:28.9744989Z 
2025-11-03T16:39:28.9745188Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9745830Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9746055Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9746546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9746699Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9747188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9747331Z     x = stage(x)
2025-11-03T16:39:28.9747820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9747932Z     out = F.relu_(out)
2025-11-03T16:39:28.9747938Z 
2025-11-03T16:39:28.9748148Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9748793Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9748953Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9749435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9749580Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9750089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9750191Z     x = stage(x)
2025-11-03T16:39:28.9750703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9750812Z     out = self.conv1(x)
2025-11-03T16:39:28.9751264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9751368Z     x = F.conv2d(
2025-11-03T16:39:28.9751375Z 
2025-11-03T16:39:28.9751639Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9752279Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9752425Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9752911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9753053Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9753534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9753643Z     x = stage(x)
2025-11-03T16:39:28.9754124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9754241Z     out = F.relu_(out)
2025-11-03T16:39:28.9754248Z 
2025-11-03T16:39:28.9754432Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9755043Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9755175Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9755632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9755780Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9756274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9756379Z     x = stage(x)
2025-11-03T16:39:28.9756837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9756947Z     out = self.conv2(out)
2025-11-03T16:39:28.9757394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9757533Z     x = F.conv2d(
2025-11-03T16:39:28.9757543Z 
2025-11-03T16:39:28.9757742Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9758357Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9758510Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9758968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9759141Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9759619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9759712Z     x = stage(x)
2025-11-03T16:39:28.9760193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9760296Z     out = F.relu_(out)
2025-11-03T16:39:28.9760305Z 
2025-11-03T16:39:28.9760491Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9761103Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9761249Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9761714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9761850Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9762321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9762419Z     x = stage(x)
2025-11-03T16:39:28.9762896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9763075Z     out = self.conv3(out)
2025-11-03T16:39:28.9763505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9763609Z     x = F.conv2d(
2025-11-03T16:39:28.9763617Z 
2025-11-03T16:39:28.9763810Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9764399Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9764541Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9764991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9765141Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9765601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9765699Z     x = stage(x)
2025-11-03T16:39:28.9766167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9766274Z     out = F.relu_(out)
2025-11-03T16:39:28.9766282Z 
2025-11-03T16:39:28.9766478Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9767081Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9767230Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9767688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9767833Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9768314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9768410Z     x = stage(x)
2025-11-03T16:39:28.9768888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9769033Z     out = self.conv1(x)
2025-11-03T16:39:28.9769452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9769561Z     x = F.conv2d(
2025-11-03T16:39:28.9769568Z 
2025-11-03T16:39:28.9769762Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9770373Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9770547Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9771019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9771154Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9771642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9771754Z     x = stage(x)
2025-11-03T16:39:28.9772239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9772355Z     out = F.relu_(out)
2025-11-03T16:39:28.9772362Z 
2025-11-03T16:39:28.9772553Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9773178Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9773327Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9773810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9773954Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9774494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9774594Z     x = stage(x)
2025-11-03T16:39:28.9775083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9775198Z     out = self.conv2(out)
2025-11-03T16:39:28.9775670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9775766Z     x = F.conv2d(
2025-11-03T16:39:28.9775772Z 
2025-11-03T16:39:28.9775974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9776629Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9776778Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9777267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9777414Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9777906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9778005Z     x = stage(x)
2025-11-03T16:39:28.9778485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9778600Z     out = F.relu_(out)
2025-11-03T16:39:28.9778607Z 
2025-11-03T16:39:28.9778800Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9779418Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9779560Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9780027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9780164Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9780666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9780778Z     x = stage(x)
2025-11-03T16:39:28.9781252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9781378Z     out = self.conv3(out)
2025-11-03T16:39:28.9781813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9781915Z     x = F.conv2d(
2025-11-03T16:39:28.9781956Z 
2025-11-03T16:39:28.9782162Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9782771Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9782917Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9783389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9783549Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9784019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9784117Z     x = stage(x)
2025-11-03T16:39:28.9784611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9784831Z     out = F.relu_(out)
2025-11-03T16:39:28.9784847Z 
2025-11-03T16:39:28.9785056Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9785674Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9785819Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9786668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9786830Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9787334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9787440Z     x = stage(x)
2025-11-03T16:39:28.9787931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9788053Z     out = self.conv1(x)
2025-11-03T16:39:28.9788505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9788618Z     x = F.conv2d(
2025-11-03T16:39:28.9788626Z 
2025-11-03T16:39:28.9788825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9789461Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9789611Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9790075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9790229Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9790718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9790828Z     x = stage(x)
2025-11-03T16:39:28.9791322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9791435Z     out = F.relu_(out)
2025-11-03T16:39:28.9791453Z 
2025-11-03T16:39:28.9791648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9792275Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9792435Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9792986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9793141Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9793627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9793726Z     x = stage(x)
2025-11-03T16:39:28.9794232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9794402Z     out = self.conv2(out)
2025-11-03T16:39:28.9794865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9794967Z     x = F.conv2d(
2025-11-03T16:39:28.9794974Z 
2025-11-03T16:39:28.9795157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9795790Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9795942Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9796397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9796534Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9797018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9797118Z     x = stage(x)
2025-11-03T16:39:28.9797604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9797717Z     out = F.relu_(out)
2025-11-03T16:39:28.9797725Z 
2025-11-03T16:39:28.9797926Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9798629Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9798775Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9799239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9799388Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9799867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9799977Z     x = stage(x)
2025-11-03T16:39:28.9800459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9800576Z     out = self.conv3(out)
2025-11-03T16:39:28.9801012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9801113Z     x = F.conv2d(
2025-11-03T16:39:28.9801121Z 
2025-11-03T16:39:28.9801324Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9801929Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9802068Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9802536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9802679Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9803158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9803262Z     x = stage(x)
2025-11-03T16:39:28.9803778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9803883Z     out = F.relu_(out)
2025-11-03T16:39:28.9803890Z 
2025-11-03T16:39:28.9804085Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9804752Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9804892Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9805359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9805500Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9806004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9806134Z     x = stage(x)
2025-11-03T16:39:28.9806616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9806733Z     out = self.conv1(x)
2025-11-03T16:39:28.9807175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9807286Z     x = F.conv2d(
2025-11-03T16:39:28.9807293Z 
2025-11-03T16:39:28.9807484Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9808118Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9808268Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9808727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9808877Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9809355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9809465Z     x = stage(x)
2025-11-03T16:39:28.9810012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9810123Z     out = F.relu_(out)
2025-11-03T16:39:28.9810130Z 
2025-11-03T16:39:28.9810335Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9810970Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9811128Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9811609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9811756Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9812265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9812367Z     x = stage(x)
2025-11-03T16:39:28.9812875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9813001Z     out = self.conv2(out)
2025-11-03T16:39:28.9813452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9813563Z     x = F.conv2d(
2025-11-03T16:39:28.9813569Z 
2025-11-03T16:39:28.9813764Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9814410Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9814561Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9815033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9815171Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9815654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9815760Z     x = stage(x)
2025-11-03T16:39:28.9816249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9816397Z     out = F.relu_(out)
2025-11-03T16:39:28.9816405Z 
2025-11-03T16:39:28.9816598Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9817226Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9817370Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9817875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9818024Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9818510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9818619Z     x = stage(x)
2025-11-03T16:39:28.9819108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9819227Z     out = self.conv3(out)
2025-11-03T16:39:28.9819683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9819780Z     x = F.conv2d(
2025-11-03T16:39:28.9819787Z 
2025-11-03T16:39:28.9819979Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9820585Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9820732Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9821216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9821348Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9821899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9821998Z     x = stage(x)
2025-11-03T16:39:28.9822496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:39:28.9822626Z     shortcut = self.shortcut(x)
2025-11-03T16:39:28.9823078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9823189Z     x = F.conv2d(
2025-11-03T16:39:28.9823195Z 
2025-11-03T16:39:28.9823390Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9824040Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9824186Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9824792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9824957Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9825437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9825547Z     x = stage(x)
2025-11-03T16:39:28.9826033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9826144Z     out = self.conv1(x)
2025-11-03T16:39:28.9826601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9826706Z     x = F.conv2d(
2025-11-03T16:39:28.9826714Z 
2025-11-03T16:39:28.9826912Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9827522Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9827678Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9828211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9828355Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9828867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9828969Z     x = stage(x)
2025-11-03T16:39:28.9829483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9829623Z     out = F.relu_(out)
2025-11-03T16:39:28.9829630Z 
2025-11-03T16:39:28.9829822Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9830454Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9830600Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9831088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9831233Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9831730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9831832Z     x = stage(x)
2025-11-03T16:39:28.9832310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9832437Z     out = self.conv2(out)
2025-11-03T16:39:28.9832877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9832986Z     x = F.conv2d(
2025-11-03T16:39:28.9832993Z 
2025-11-03T16:39:28.9833192Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9833913Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9834080Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9834554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9834708Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9835200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9835308Z     x = stage(x)
2025-11-03T16:39:28.9835801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9835911Z     out = F.relu_(out)
2025-11-03T16:39:28.9835918Z 
2025-11-03T16:39:28.9836116Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9836758Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9836918Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9837384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9837524Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9838014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9838110Z     x = stage(x)
2025-11-03T16:39:28.9838604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9838723Z     out = self.conv3(out)
2025-11-03T16:39:28.9839159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9839265Z     x = F.conv2d(
2025-11-03T16:39:28.9839271Z 
2025-11-03T16:39:28.9839467Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9840121Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9840266Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9840729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9840868Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9841332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9841467Z     x = stage(x)
2025-11-03T16:39:28.9841942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9842054Z     out = F.relu_(out)
2025-11-03T16:39:28.9842060Z 
2025-11-03T16:39:28.9842235Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9842851Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9842992Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9843437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9843581Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9844061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9844167Z     x = stage(x)
2025-11-03T16:39:28.9844649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:28.9844761Z     out = self.conv1(x)
2025-11-03T16:39:28.9845223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9845377Z     x = F.conv2d(
2025-11-03T16:39:28.9845385Z 
2025-11-03T16:39:28.9845580Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9846177Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9846319Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9846784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9846925Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9847419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9847518Z     x = stage(x)
2025-11-03T16:39:28.9877141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:28.9877419Z     out = F.relu_(out)
2025-11-03T16:39:28.9877434Z 
2025-11-03T16:39:28.9877662Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9878429Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9878589Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9879071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9879217Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9879711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9879818Z     x = stage(x)
2025-11-03T16:39:28.9880309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:28.9880440Z     out = self.conv2(out)
2025-11-03T16:39:28.9880872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9881143Z     x = F.conv2d(
2025-11-03T16:39:28.9881151Z 
2025-11-03T16:39:28.9881348Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9881972Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9882128Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9882588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9882825Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9883314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9883427Z     x = stage(x)
2025-11-03T16:39:28.9883914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:28.9884028Z     out = F.relu_(out)
2025-11-03T16:39:28.9884036Z 
2025-11-03T16:39:28.9884248Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9884855Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9885013Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9885466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9885611Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9886322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9886431Z     x = stage(x)
2025-11-03T16:39:28.9887087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:28.9887214Z     out = self.conv3(out)
2025-11-03T16:39:28.9887682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9887784Z     x = F.conv2d(
2025-11-03T16:39:28.9887792Z 
2025-11-03T16:39:28.9887994Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9888621Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9888776Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9889254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:39:28.9889398Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:39:28.9889899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:28.9890008Z     x = stage(x)
2025-11-03T16:39:28.9890488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:28.9890611Z     out = F.relu_(out)
2025-11-03T16:39:28.9890618Z 
2025-11-03T16:39:28.9890804Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9891419Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9891562Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9892014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward
2025-11-03T16:39:28.9892314Z     prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]])
2025-11-03T16:39:28.9892752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9892925Z     x = F.conv2d(
2025-11-03T16:39:28.9892933Z 
2025-11-03T16:39:28.9893080Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.9893284Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9893889Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9894031Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9894493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 142, in forward
2025-11-03T16:39:28.9894732Z     results.append(self.output_convs[0](prev_features))
2025-11-03T16:39:28.9895169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9895264Z     x = F.conv2d(
2025-11-03T16:39:28.9895272Z 
2025-11-03T16:39:28.9895471Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9896075Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9896216Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9896683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:39:28.9896827Z     lateral_features = lateral_conv(features)
2025-11-03T16:39:28.9897267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9897375Z     x = F.conv2d(
2025-11-03T16:39:28.9897382Z 
2025-11-03T16:39:28.9897572Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9898200Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9898439Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9898928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:39:28.9899077Z     lateral_features = lateral_conv(features)
2025-11-03T16:39:28.9899521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9899630Z     x = F.conv2d(
2025-11-03T16:39:28.9899637Z 
2025-11-03T16:39:28.9899826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9900468Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9900612Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9901105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:39:28.9901259Z     lateral_features = lateral_conv(features)
2025-11-03T16:39:28.9901702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9901813Z     x = F.conv2d(
2025-11-03T16:39:28.9901820Z 
2025-11-03T16:39:28.9902011Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9902641Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9902777Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9903260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:39:28.9903469Z     prev_features = lateral_features + top_down_features
2025-11-03T16:39:28.9903475Z 
2025-11-03T16:39:28.9903667Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9904314Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9904536Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9905143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:39:28.9905348Z     prev_features = lateral_features + top_down_features
2025-11-03T16:39:28.9905357Z 
2025-11-03T16:39:28.9905552Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9906180Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9906370Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9906850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:39:28.9907038Z     prev_features = lateral_features + top_down_features
2025-11-03T16:39:28.9907050Z 
2025-11-03T16:39:28.9907216Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.9907363Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.9907500Z cudagraph partition due to non gpu ops
2025-11-03T16:39:28.9907697Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9908305Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9908459Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9908933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 165, in forward
2025-11-03T16:39:28.9909125Z     results.extend(self.top_block(top_block_in_feature))
2025-11-03T16:39:28.9909603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 200, in forward
2025-11-03T16:39:28.9909901Z     return [F.max_pool2d(x, kernel_size=1, stride=2, padding=0)]
2025-11-03T16:39:28.9909913Z 
2025-11-03T16:39:28.9910114Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9910741Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9910896Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9911370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:39:28.9911545Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:39:28.9912007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9912114Z     x = F.conv2d(
2025-11-03T16:39:28.9912122Z 
2025-11-03T16:39:28.9912326Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9912969Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9913119Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9913615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:39:28.9913789Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:39:28.9914251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9914359Z     x = F.conv2d(
2025-11-03T16:39:28.9914369Z 
2025-11-03T16:39:28.9914574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:28.9915197Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:28.9915342Z     features = self.backbone(images.tensor)
2025-11-03T16:39:28.9915840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:39:28.9916048Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:39:28.9916500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:28.9916602Z     x = F.conv2d(
2025-11-03T16:39:28.9916608Z 
2025-11-03T16:39:39.7499274Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7499629Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7499874Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7500663Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7500899Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7501125Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7501362Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7501602Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7501836Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7502071Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7502315Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7502545Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7502775Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7502997Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7503233Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7503464Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7503695Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7503971Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7504210Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7504438Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7504749Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7504982Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7505211Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7505436Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7505811Z cudagraph partition due to non gpu ops
2025-11-03T16:39:39.7506091Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7506642Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7507186Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7507728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:39:39.7508185Z     t = self.conv(x)
2025-11-03T16:39:39.7508564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:39.7508952Z     x = F.conv2d(
2025-11-03T16:39:39.7509072Z 
2025-11-03T16:39:39.7509193Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7509690Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7510218Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7510727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:39:39.7511154Z     t = self.conv(x)
2025-11-03T16:39:39.7511522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:39:39.7511923Z     x = self.activation(x)
2025-11-03T16:39:39.7512051Z 
2025-11-03T16:39:39.7512178Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7512666Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7513177Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7513694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:39:39.7514254Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:39:39.7514458Z 
2025-11-03T16:39:39.7514583Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7515070Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7515580Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7516100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:39:39.7516559Z     t = self.conv(x)
2025-11-03T16:39:39.7516929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:39.7517325Z     x = F.conv2d(
2025-11-03T16:39:39.7517432Z 
2025-11-03T16:39:39.7517555Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7518031Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7518547Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7519062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:39:39.7519499Z     t = self.conv(x)
2025-11-03T16:39:39.7519864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:39:39.7520258Z     x = self.activation(x)
2025-11-03T16:39:39.7520392Z 
2025-11-03T16:39:39.7520509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7520976Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7521492Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7522056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:39:39.7522539Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:39:39.7522740Z 
2025-11-03T16:39:39.7522856Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7523343Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7523862Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7524381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:39:39.7524806Z     t = self.conv(x)
2025-11-03T16:39:39.7525168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:39.7525551Z     x = F.conv2d(
2025-11-03T16:39:39.7525660Z 
2025-11-03T16:39:39.7525782Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7526268Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7526772Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7527296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:39:39.7527731Z     t = self.conv(x)
2025-11-03T16:39:39.7528091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:39:39.7528477Z     x = self.activation(x)
2025-11-03T16:39:39.7528610Z 
2025-11-03T16:39:39.7528725Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7529216Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7529748Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7530264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:39:39.7530748Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:39:39.7530947Z 
2025-11-03T16:39:39.7531061Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7531524Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7532050Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7532557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:39:39.7532974Z     t = self.conv(x)
2025-11-03T16:39:39.7533335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:39.7533722Z     x = F.conv2d(
2025-11-03T16:39:39.7533826Z 
2025-11-03T16:39:39.7533946Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7534417Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7534913Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7535413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:39:39.7535838Z     t = self.conv(x)
2025-11-03T16:39:39.7536196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:39:39.7536576Z     x = self.activation(x)
2025-11-03T16:39:39.7536708Z 
2025-11-03T16:39:39.7536863Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7537337Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7537846Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7538354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:39:39.7538831Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:39:39.7539025Z 
2025-11-03T16:39:39.7539141Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7539617Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7540115Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7540620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:39:39.7541039Z     t = self.conv(x)
2025-11-03T16:39:39.7541395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:39.7541781Z     x = F.conv2d(
2025-11-03T16:39:39.7541884Z 
2025-11-03T16:39:39.7542003Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7542488Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7542997Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7543519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:39:39.7543951Z     t = self.conv(x)
2025-11-03T16:39:39.7544304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:39:39.7544915Z     x = self.activation(x)
2025-11-03T16:39:39.7545084Z 
2025-11-03T16:39:39.7545203Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7545702Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7546228Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7546750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:39:39.7547249Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:39:39.7547445Z 
2025-11-03T16:39:39.7547620Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7548105Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7548616Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7549145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:39:39.7549613Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:39:39.7549784Z 
2025-11-03T16:39:39.7549908Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7550388Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7550900Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7551409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:39:39.7551875Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:39:39.7552046Z 
2025-11-03T16:39:39.7552167Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7553287Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7553799Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7554305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:39:39.7554766Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:39:39.7554935Z 
2025-11-03T16:39:39.7555058Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7555533Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7556034Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7556540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:39:39.7557009Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:39:39.7557178Z 
2025-11-03T16:39:39.7557301Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7557767Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:39:39.7558263Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:39:39.7558767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:39:39.7559229Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:39:39.7559404Z 
2025-11-03T16:39:39.7559522Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7559982Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:39:39.7560430Z     anchors = self.anchor_generator(features)
2025-11-03T16:39:39.7560874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:39:39.7561420Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:39:39.7561948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:39:39.7562444Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:39:39.7562644Z 
2025-11-03T16:39:39.7562760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7563267Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:39:39.7563728Z     anchors = self.anchor_generator(features)
2025-11-03T16:39:39.7564162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:39:39.7564674Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:39:39.7565173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:39:39.7565658Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:39:39.7565861Z 
2025-11-03T16:39:39.7565975Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7566457Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:39:39.7566910Z     anchors = self.anchor_generator(features)
2025-11-03T16:39:39.7567336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:39:39.7567837Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:39:39.7568399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:39:39.7568889Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:39:39.7569085Z 
2025-11-03T16:39:39.7569207Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7569689Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:39:39.7570148Z     anchors = self.anchor_generator(features)
2025-11-03T16:39:39.7570582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:39:39.7571086Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:39:39.7571605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:39:39.7572086Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:39:39.7572292Z 
2025-11-03T16:39:39.7572406Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7572875Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:39:39.7573321Z     anchors = self.anchor_generator(features)
2025-11-03T16:39:39.7573750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:39:39.7574242Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:39:39.7574759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:39:39.7575243Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:39:39.7575438Z 
2025-11-03T16:39:39.7575560Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7576055Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:39:39.7576490Z     pred_objectness_logits = [
2025-11-03T16:39:39.7576930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:39:39.7577384Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:39:39.7577532Z 
2025-11-03T16:39:39.7577652Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7578141Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:39:39.7578581Z     pred_objectness_logits = [
2025-11-03T16:39:39.7579018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:39:39.7579468Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:39:39.7579619Z 
2025-11-03T16:39:39.7579742Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7580204Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:39:39.7580644Z     pred_objectness_logits = [
2025-11-03T16:39:39.7581078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:39:39.7581546Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:39:39.7581692Z 
2025-11-03T16:39:39.7581813Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7582289Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:39:39.7582738Z     pred_objectness_logits = [
2025-11-03T16:39:39.7583222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:39:39.7583670Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:39:39.7583815Z 
2025-11-03T16:39:39.7583933Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7584408Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:39:39.7584944Z     pred_objectness_logits = [
2025-11-03T16:39:39.7585387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:39:39.7585838Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:39:39.7585983Z 
2025-11-03T16:39:39.7586392Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7586878Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:39:39.7587321Z     pred_anchor_deltas = [
2025-11-03T16:39:39.7587749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:39:39.7588192Z     .flatten(1, -2)
2025-11-03T16:39:39.7588307Z 
2025-11-03T16:39:39.7588418Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7588906Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:39:39.7589344Z     pred_anchor_deltas = [
2025-11-03T16:39:39.7589770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:39:39.7590208Z     .flatten(1, -2)
2025-11-03T16:39:39.7590318Z 
2025-11-03T16:39:39.7590431Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7590951Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:39:39.7591458Z     pred_anchor_deltas = [
2025-11-03T16:39:39.7591984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:39:39.7592421Z     .flatten(1, -2)
2025-11-03T16:39:39.7592528Z 
2025-11-03T16:39:39.7592650Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7593116Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:39:39.7593549Z     pred_anchor_deltas = [
2025-11-03T16:39:39.7594015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:39:39.7594450Z     .flatten(1, -2)
2025-11-03T16:39:39.7594557Z 
2025-11-03T16:39:39.7594679Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7595141Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:39:39.7595572Z     pred_anchor_deltas = [
2025-11-03T16:39:39.7595992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:39:39.7596421Z     .flatten(1, -2)
2025-11-03T16:39:39.7596526Z 
2025-11-03T16:39:39.7596644Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7597103Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:39:39.7597555Z     anchors = self.anchor_generator(features)
2025-11-03T16:39:39.7597991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:39:39.7598494Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:39:39.7599073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:39:39.7599607Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:39:39.7599840Z 
2025-11-03T16:39:39.7599951Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7600416Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:39:39.7600862Z     anchors = self.anchor_generator(features)
2025-11-03T16:39:39.7601295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:39:39.7601794Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:39:39.7602309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:39:39.7602835Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:39:39.7603065Z 
2025-11-03T16:39:39.7603186Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7603678Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:39:39.7604135Z     anchors = self.anchor_generator(features)
2025-11-03T16:39:39.7604571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:39:39.7605076Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:39:39.7605595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:39:39.7606116Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:39:39.7606343Z 
2025-11-03T16:39:39.7606458Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7606978Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:39:39.7607431Z     anchors = self.anchor_generator(features)
2025-11-03T16:39:39.7607867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:39:39.7608371Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:39:39.7608881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:39:39.7609424Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:39:39.7609655Z 
2025-11-03T16:39:39.7609769Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:39.7610247Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:39:39.7610698Z     anchors = self.anchor_generator(features)
2025-11-03T16:39:39.7611119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:39:39.7611614Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:39:39.7612126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:39:39.7612642Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:39:39.7612869Z 
2025-11-03T16:39:43.5371918Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:43.5372708Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:39:43.5373295Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:39:43.5374342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:39:43.5374935Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:39:43.5375504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:39:43.5376057Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:39:43.5376238Z 
2025-11-03T16:39:43.5376383Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:43.5376897Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:39:43.5377452Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:39:43.5378012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:39:43.5378597Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:39:43.5379164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:39:43.5379639Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:39:43.5379817Z 
2025-11-03T16:39:43.5379940Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:43.5380454Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:39:43.5380999Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:39:43.5381548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:39:43.5382120Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:39:43.5382791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:39:43.5383251Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:39:43.5383450Z 
2025-11-03T16:39:43.5383611Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:43.5384113Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:39:43.5384927Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:39:43.5385496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:39:43.5386061Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:39:43.5386985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:39:43.5387446Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:39:43.5387610Z 
2025-11-03T16:39:43.5387726Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:43.5388226Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:39:43.5388761Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:39:43.5389294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:39:43.5389856Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:39:43.5390381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:39:43.5390917Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:39:43.5391094Z 
2025-11-03T16:39:45.3172155Z cudagraph partition due to non gpu ops
2025-11-03T16:39:45.3172503Z cudagraph partition due to non gpu ops
2025-11-03T16:39:45.3172756Z cudagraph partition due to non gpu ops
2025-11-03T16:39:45.3172998Z cudagraph partition due to non gpu ops
2025-11-03T16:39:45.3173257Z cudagraph partition due to non gpu ops
2025-11-03T16:39:45.3173537Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:45.3174020Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:39:45.3174466Z     return torch.cat(tensors, dim)
2025-11-03T16:39:45.3174615Z 
2025-11-03T16:39:46.3720940Z cudagraph partition due to non gpu ops
2025-11-03T16:39:46.3721276Z cudagraph partition due to non gpu ops
2025-11-03T16:39:46.3721511Z cudagraph partition due to non gpu ops
2025-11-03T16:39:46.3721783Z cudagraph partition due to non gpu ops
2025-11-03T16:39:46.3722030Z cudagraph partition due to non gpu ops
2025-11-03T16:39:46.3722307Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:46.3722785Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:39:46.3723207Z     return torch.cat(tensors, dim)
2025-11-03T16:39:46.3723367Z 
2025-11-03T16:39:47.6512570Z cudagraph partition due to non gpu ops
2025-11-03T16:39:47.6512921Z cudagraph partition due to non gpu ops
2025-11-03T16:39:47.6513170Z cudagraph partition due to non gpu ops
2025-11-03T16:39:47.6513440Z cudagraph partition due to non gpu ops
2025-11-03T16:39:47.6513723Z cudagraph partition due to non gpu ops
2025-11-03T16:39:47.6514025Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:47.6514498Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:39:47.6514916Z     return torch.cat(tensors, dim)
2025-11-03T16:39:47.6515076Z 
2025-11-03T16:39:48.5855241Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:48.5855836Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:39:48.5856330Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:39:48.5856588Z 
2025-11-03T16:39:48.5856686Z cudagraph partition due to non gpu ops
2025-11-03T16:39:48.5856932Z cudagraph partition due to non gpu ops
2025-11-03T16:39:48.5857164Z cudagraph partition due to non gpu ops
2025-11-03T16:39:48.5857827Z cudagraph partition due to non gpu ops
2025-11-03T16:39:48.5858101Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:48.5858544Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:39:48.5858984Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:39:48.5859154Z 
2025-11-03T16:39:50.0399272Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:50.0399839Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:39:50.0400454Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:39:50.0400645Z 
2025-11-03T16:39:50.8537693Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:50.8538266Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__
2025-11-03T16:39:50.8538748Z     b = self.tensor[item]
2025-11-03T16:39:50.8538884Z 
2025-11-03T16:39:51.6601760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:51.6602319Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:39:51.6602838Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:39:51.6603095Z 
2025-11-03T16:39:51.6603636Z cudagraph partition due to non gpu ops
2025-11-03T16:39:51.6604013Z cudagraph partition due to non gpu ops
2025-11-03T16:39:51.6604260Z cudagraph partition due to non gpu ops
2025-11-03T16:39:51.6604487Z cudagraph partition due to non gpu ops
2025-11-03T16:39:51.6604764Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:51.6605195Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:39:51.6605638Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:39:51.6605821Z 
2025-11-03T16:39:52.6461439Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:52.6462223Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:39:52.6462730Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:39:52.6462930Z 
2025-11-03T16:39:53.4213335Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:53.4216072Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:39:53.4216704Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:39:53.4219802Z 
2025-11-03T16:39:53.4220362Z cudagraph partition due to non gpu ops
2025-11-03T16:39:53.4220721Z cudagraph partition due to non gpu ops
2025-11-03T16:39:53.4220976Z cudagraph partition due to non gpu ops
2025-11-03T16:39:53.4221225Z cudagraph partition due to non gpu ops
2025-11-03T16:39:53.4221543Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:53.4222097Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:39:53.4222553Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:39:53.4222731Z 
2025-11-03T16:39:54.9952037Z cudagraph partition due to non gpu ops
2025-11-03T16:39:54.9952435Z cudagraph partition due to non gpu ops
2025-11-03T16:39:54.9953097Z cudagraph partition due to non gpu ops
2025-11-03T16:39:54.9953343Z cudagraph partition due to non gpu ops
2025-11-03T16:39:54.9953717Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:54.9954295Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:39:54.9954876Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:39:54.9955438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:39:54.9956019Z     return torch.as_tensor(x, device=device)
2025-11-03T16:39:54.9956186Z 
2025-11-03T16:39:54.9956312Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:54.9956832Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:39:54.9957345Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:39:54.9957582Z 
2025-11-03T16:39:55.6936380Z cudagraph partition due to non gpu ops
2025-11-03T16:39:55.6936726Z cudagraph partition due to non gpu ops
2025-11-03T16:39:55.6937034Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:55.6937711Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66
2025-11-03T16:39:55.6938308Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:39:55.6938772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:39:55.6939176Z     return torch.cat(tensors, dim)
2025-11-03T16:39:55.6939325Z 
2025-11-03T16:39:58.2266988Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:58.2268049Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels
2025-11-03T16:39:58.2268607Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:39:58.2269089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in <listcomp>
2025-11-03T16:39:58.2269604Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:39:58.2270054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area
2025-11-03T16:39:58.2270518Z     area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1])
2025-11-03T16:39:58.2270700Z 
2025-11-03T16:39:58.2270848Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:58.2271321Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels
2025-11-03T16:39:58.2271847Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:39:58.2272303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in <listcomp>
2025-11-03T16:39:58.2272781Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:39:58.2273229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area
2025-11-03T16:39:58.2273630Z     area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1])
2025-11-03T16:39:58.2273804Z 
2025-11-03T16:39:58.2273921Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:58.2274398Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels
2025-11-03T16:39:58.2274883Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:39:58.2275343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in <listcomp>
2025-11-03T16:39:58.2275801Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:39:58.2276331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area
2025-11-03T16:39:58.2276745Z     area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1])
2025-11-03T16:39:58.2276911Z 
2025-11-03T16:39:58.2277038Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:58.2277500Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels
2025-11-03T16:39:58.2278012Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:39:58.2278543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in <listcomp>
2025-11-03T16:39:58.2279022Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:39:58.2279478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area
2025-11-03T16:39:58.2279894Z     area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1])
2025-11-03T16:39:58.2280075Z 
2025-11-03T16:39:58.2280199Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:58.2280689Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels
2025-11-03T16:39:58.2281198Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:39:58.2281653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:39:58.2282062Z     return torch.cat(tensors, dim)
2025-11-03T16:39:58.2282220Z 
2025-11-03T16:39:58.2282342Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:58.2282828Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 59, in assign_boxes_to_levels
2025-11-03T16:39:58.2283373Z     return level_assignments.to(torch.int64) - min_level
2025-11-03T16:39:58.2283562Z 
2025-11-03T16:39:59.2174572Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:59.2175136Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 111, in _create_zeros
2025-11-03T16:39:59.2175752Z     return torch.zeros(sizes, dtype=like_tensor.dtype, device=like_tensor.device)
2025-11-03T16:39:59.2175997Z 
2025-11-03T16:39:59.8291264Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:59.8295442Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:39:59.8295913Z     return roi_align(
2025-11-03T16:39:59.8299520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:39:59.8300054Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:39:59.8300238Z 
2025-11-03T16:39:59.8300366Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:59.8300883Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:39:59.8301300Z     return roi_align(
2025-11-03T16:39:59.8301679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:39:59.8302104Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:39:59.8302274Z 
2025-11-03T16:40:00.6336997Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:00.6337574Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:40:00.6338077Z     return roi_align(
2025-11-03T16:40:00.6338475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:40:00.6338921Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:40:00.6339091Z 
2025-11-03T16:40:00.6339232Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:00.6340043Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:40:00.6340447Z     return roi_align(
2025-11-03T16:40:00.6340831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:40:00.6341273Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:40:00.6341444Z 
2025-11-03T16:40:01.7156694Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:01.7157283Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:40:01.7158096Z     return roi_align(
2025-11-03T16:40:01.7158491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:40:01.7158925Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:40:01.7159109Z 
2025-11-03T16:40:01.7159247Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:01.7159737Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:40:01.7160138Z     return roi_align(
2025-11-03T16:40:01.7160513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:40:01.7161056Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:40:01.7161230Z 
2025-11-03T16:40:02.1424642Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:02.1425483Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:40:02.1425904Z     return roi_align(
2025-11-03T16:40:02.1426292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:40:02.1426745Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:40:02.1426918Z 
2025-11-03T16:40:02.1427477Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:02.1427931Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:40:02.1428331Z     return roi_align(
2025-11-03T16:40:02.1428712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:40:02.1429131Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:40:02.1429302Z 
2025-11-03T16:40:03.1688511Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:03.1689250Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:40:03.1689799Z     box_features = self.box_head(box_features)
2025-11-03T16:40:03.1690276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:40:03.1690734Z     x = layer(x)
2025-11-03T16:40:03.1690845Z 
2025-11-03T16:40:03.1690972Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:03.1691532Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:40:03.1692055Z     box_features = self.box_head(box_features)
2025-11-03T16:40:03.1692504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:40:03.1692926Z     x = layer(x)
2025-11-03T16:40:03.1693032Z 
2025-11-03T16:40:03.1693149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:03.1693697Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:40:03.1694215Z     box_features = self.box_head(box_features)
2025-11-03T16:40:03.1694658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:40:03.1695482Z     x = layer(x)
2025-11-03T16:40:03.1695586Z 
2025-11-03T16:40:03.1695708Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:03.1696260Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:40:03.1696831Z     box_features = self.box_head(box_features)
2025-11-03T16:40:03.1697412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:40:03.1697824Z     x = layer(x)
2025-11-03T16:40:03.1697932Z 
2025-11-03T16:40:03.1698050Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:03.1698593Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:40:03.1699136Z     predictions = self.box_predictor(box_features)
2025-11-03T16:40:03.1699589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:40:03.1700030Z     scores = self.cls_score(x)
2025-11-03T16:40:03.1700169Z 
2025-11-03T16:40:03.1700286Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:03.1700834Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:40:03.1701369Z     predictions = self.box_predictor(box_features)
2025-11-03T16:40:03.1701817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:40:03.1702259Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:40:03.1702419Z 
2025-11-03T16:40:05.4063269Z cudagraph partition due to non gpu ops
2025-11-03T16:40:05.4063676Z cudagraph partition due to non gpu ops
2025-11-03T16:40:05.4063925Z cudagraph partition due to non gpu ops
2025-11-03T16:40:05.4064152Z cudagraph partition due to non gpu ops
2025-11-03T16:40:05.4064435Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:05.4065210Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:40:05.4065725Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:40:05.4066225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:40:05.4066782Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:40:05.4067280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:40:05.4067686Z     return torch.cat(tensors, dim)
2025-11-03T16:40:05.4067850Z 
2025-11-03T16:40:05.4067979Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:05.4068450Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:40:05.4068918Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:40:05.4069398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:40:05.4069889Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:40:05.4070364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:40:05.4070829Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:40:05.4071004Z 
2025-11-03T16:40:07.5420691Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:07.5421396Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image
2025-11-03T16:40:07.5422388Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:40:07.5422654Z 
2025-11-03T16:40:07.5422782Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:07.5423346Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 137, in fast_rcnn_inference_single_image
2025-11-03T16:40:07.5423942Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:40:07.5424268Z 
2025-11-03T16:40:07.5424394Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:07.5425028Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 138, in fast_rcnn_inference_single_image
2025-11-03T16:40:07.5425536Z     if not valid_mask.all():
2025-11-03T16:40:07.5425682Z 
2025-11-03T16:40:09.1156133Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:09.1157068Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:40:09.1157793Z     boxes.clip(image_shape)
2025-11-03T16:40:09.1158291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:40:09.1159507Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:40:09.1159876Z 
2025-11-03T16:40:09.1160022Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:09.1160687Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 151, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:40:09.1161291Z     filter_mask = scores > score_thresh  # R x K
2025-11-03T16:40:09.1161907Z 
2025-11-03T16:40:09.1162037Z cudagraph partition due to non gpu ops
2025-11-03T16:40:09.1162293Z cudagraph partition due to non gpu ops
2025-11-03T16:40:09.1162533Z cudagraph partition due to non gpu ops
2025-11-03T16:40:09.1162771Z cudagraph partition due to non gpu ops
2025-11-03T16:40:09.1163047Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:09.1163650Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:40:09.1164219Z     boxes.clip(image_shape)
2025-11-03T16:40:09.1164617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:40:09.1165063Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:40:09.1165238Z 
2025-11-03T16:40:11.5427190Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:11.5429963Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:40:11.5430479Z     max_coordinate = boxes.max()
2025-11-03T16:40:11.5430634Z 
2025-11-03T16:40:11.5430760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:11.5431234Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:40:11.5431692Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:40:11.5431844Z 
2025-11-03T16:40:12.3287268Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:12.3288057Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:40:12.3288759Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:40:12.3288990Z 
2025-11-03T16:40:12.3289137Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:12.3290098Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:40:12.3290719Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:40:12.3290946Z 
2025-11-03T16:40:12.3291069Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:12.3291664Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:40:12.3292354Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:40:12.3292566Z 
2025-11-03T16:40:14.5701374Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:14.5702159Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:40:14.5702747Z     boxes.clip(image_shape)
2025-11-03T16:40:14.5703160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:40:14.5703671Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:40:14.5704016Z 
2025-11-03T16:40:14.5704154Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:14.5704965Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 151, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:40:14.5705570Z     filter_mask = scores > score_thresh  # R x K
2025-11-03T16:40:14.5705754Z 
2025-11-03T16:40:14.5705855Z cudagraph partition due to non gpu ops
2025-11-03T16:40:14.5706110Z cudagraph partition due to non gpu ops
2025-11-03T16:40:14.5706738Z cudagraph partition due to non gpu ops
2025-11-03T16:40:14.5706984Z cudagraph partition due to non gpu ops
2025-11-03T16:40:14.5707266Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:14.5707866Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 146, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_138
2025-11-03T16:40:14.5708427Z     boxes.clip(image_shape)
2025-11-03T16:40:14.5708806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:40:14.5709235Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:40:14.5709418Z 
2025-11-03T16:40:18.2062497Z cudagraph partition due to non gpu ops
2025-11-03T16:40:18.2062872Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:18.2063459Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:40:18.2064013Z     output_boxes.clip(results.image_size)
2025-11-03T16:40:18.2064449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:40:18.2065346Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:40:18.2065605Z 
2025-11-03T16:40:18.2065713Z cudagraph partition due to non gpu ops
2025-11-03T16:40:18.2065963Z cudagraph partition due to non gpu ops
2025-11-03T16:40:18.2066258Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:18.2066846Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:40:18.2067325Z     output_boxes.clip(results.image_size)
2025-11-03T16:40:18.2067729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:40:18.2068148Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:40:18.2068699Z 
2025-11-03T16:40:18.2068819Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:18.2069318Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:40:18.2069801Z     results = results[output_boxes.nonempty()]
2025-11-03T16:40:18.2070227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:40:18.2070656Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:40:18.2070904Z 
2025-11-03T16:40:25.2294479Z Compilation time (from dynamo_timed): 82.164844015
2025-11-03T16:40:25.2297461Z pass
2025-11-03T16:40:25.2297885Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:40:25.2298889Z TIMING: gc:0.06781 entire_frame_compile:82.16484 _recursive_pre_grad_passes:0.04115 async_compile.wait:14.40187 backend_compile:52.09428 _recursive_joint_graph_passes:0.61502 _recursive_post_grad_passes:0.3502 code_gen:23.19294 inductor_compile:30.85903 total_wall_time:82.16484
2025-11-03T16:40:25.2300100Z STATS: call_* op count: 1156 | FakeTensorMode.__torch_dispatch__:27275 | FakeTensor.__torch_dispatch__:15706 | ProxyTorchDispatchMode.__torch_dispatch__:7288 | attempt fast:137 | slow no contiguity match:50 | fast is_contiguous:87
2025-11-03T16:40:25.2300824Z Dynamo produced 61 graphs covering 1156 ops with 46 graph breaks (6 unique)
2025-11-03T16:40:29.5383973Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:40:29.5385073Z   import pynvml  # type: ignore[import]
2025-11-03T16:40:31.9165533Z 
2025-11-03T16:40:35.7432743Z loading model: 0it [00:00, ?it/s]W1103 16:40:35.741000 18460 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:40:44.2730176Z 
2025-11-03T16:40:44.2730691Z loading model: 0it [00:12, ?it/s]
2025-11-03T16:40:44.2738987Z cpu  eval  detectron2_fasterrcnn_r_50_c4      
2025-11-03T16:40:52.9464450Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_c4. Setting accuracy check to cosine
2025-11-03T16:40:52.9541397Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:41:12.0816498Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:41:30.9966622Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:41:48.3507058Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3511784Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3512077Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3512380Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3512616Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3512860Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3513093Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3513337Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3513565Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3513789Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3514035Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3514262Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3514491Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3517220Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3517550Z cudagraph partition due to non gpu ops
2025-11-03T16:41:48.3517843Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3518851Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3519362Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3519808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:41:48.3520221Z     x = self.stem(x)
2025-11-03T16:41:48.3520600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:41:48.3521068Z     x = self.conv1(x)
2025-11-03T16:41:48.3521432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3521811Z     x = F.conv2d(
2025-11-03T16:41:48.3521917Z 
2025-11-03T16:41:48.3522044Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3522576Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3523090Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3523528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:41:48.3523939Z     x = self.stem(x)
2025-11-03T16:41:48.3524333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:41:48.3524741Z     x = F.relu_(x)
2025-11-03T16:41:48.3524858Z 
2025-11-03T16:41:48.3524975Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3525513Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3526010Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3526532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:41:48.3526934Z     x = self.stem(x)
2025-11-03T16:41:48.3527319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:41:48.3527787Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:41:48.3527974Z 
2025-11-03T16:41:48.3528106Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3528627Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3529131Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3529562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3529981Z     x = stage(x)
2025-11-03T16:41:48.3530370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3530782Z     out = self.conv1(x)
2025-11-03T16:41:48.3531162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3531567Z     x = F.conv2d(
2025-11-03T16:41:48.3531677Z 
2025-11-03T16:41:48.3531807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3532339Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3532837Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3533277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3533689Z     x = stage(x)
2025-11-03T16:41:48.3534068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3534498Z     out = F.relu_(out)
2025-11-03T16:41:48.3534615Z 
2025-11-03T16:41:48.3534729Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3535247Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3535743Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3536166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3536585Z     x = stage(x)
2025-11-03T16:41:48.3536958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3537370Z     out = self.conv2(out)
2025-11-03T16:41:48.3537744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3538131Z     x = F.conv2d(
2025-11-03T16:41:48.3538236Z 
2025-11-03T16:41:48.3538352Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3538869Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3539370Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3539794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3540202Z     x = stage(x)
2025-11-03T16:41:48.3540567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3540974Z     out = F.relu_(out)
2025-11-03T16:41:48.3541090Z 
2025-11-03T16:41:48.3541212Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3541773Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3542264Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3542719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3543124Z     x = stage(x)
2025-11-03T16:41:48.3543497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3543902Z     out = self.conv3(out)
2025-11-03T16:41:48.3544269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3544835Z     x = F.conv2d(
2025-11-03T16:41:48.3544954Z 
2025-11-03T16:41:48.3545072Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3545599Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3546104Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3546507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3546903Z     x = stage(x)
2025-11-03T16:41:48.3547267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:41:48.3547673Z     shortcut = self.shortcut(x)
2025-11-03T16:41:48.3548033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3548410Z     x = F.conv2d(
2025-11-03T16:41:48.3548518Z 
2025-11-03T16:41:48.3548630Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3549133Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3549618Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3550066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3550471Z     x = stage(x)
2025-11-03T16:41:48.3550842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3551249Z     out = self.conv1(x)
2025-11-03T16:41:48.3551665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3552071Z     x = F.conv2d(
2025-11-03T16:41:48.3552180Z 
2025-11-03T16:41:48.3552293Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3552809Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3553284Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3553688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3554080Z     x = stage(x)
2025-11-03T16:41:48.3554435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3554834Z     out = F.relu_(out)
2025-11-03T16:41:48.3554943Z 
2025-11-03T16:41:48.3555062Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3555551Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3556031Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3556440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3556830Z     x = stage(x)
2025-11-03T16:41:48.3557223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3557625Z     out = self.conv2(out)
2025-11-03T16:41:48.3558001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3558368Z     x = F.conv2d(
2025-11-03T16:41:48.3558467Z 
2025-11-03T16:41:48.3558585Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3559080Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3559560Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3559971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3560359Z     x = stage(x)
2025-11-03T16:41:48.3560719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3561106Z     out = F.relu_(out)
2025-11-03T16:41:48.3561222Z 
2025-11-03T16:41:48.3561331Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3561848Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3562334Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3562742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3563124Z     x = stage(x)
2025-11-03T16:41:48.3563479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3563869Z     out = self.conv3(out)
2025-11-03T16:41:48.3564225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3564584Z     x = F.conv2d(
2025-11-03T16:41:48.3564713Z 
2025-11-03T16:41:48.3564825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3565323Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3565812Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3566220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3566599Z     x = stage(x)
2025-11-03T16:41:48.3566983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:48.3567374Z     out = F.relu_(out)
2025-11-03T16:41:48.3567482Z 
2025-11-03T16:41:48.3567600Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3568105Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3568589Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3568998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3569384Z     x = stage(x)
2025-11-03T16:41:48.3569739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3570124Z     out = self.conv1(x)
2025-11-03T16:41:48.3570476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3570847Z     x = F.conv2d(
2025-11-03T16:41:48.3570944Z 
2025-11-03T16:41:48.3571063Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3571551Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3572125Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3572514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3572884Z     x = stage(x)
2025-11-03T16:41:48.3573229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3573601Z     out = F.relu_(out)
2025-11-03T16:41:48.3573704Z 
2025-11-03T16:41:48.3573809Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3574287Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3574739Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3575123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3575488Z     x = stage(x)
2025-11-03T16:41:48.3575834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3576214Z     out = self.conv2(out)
2025-11-03T16:41:48.3576554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3576919Z     x = F.conv2d(
2025-11-03T16:41:48.3577017Z 
2025-11-03T16:41:48.3577128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3577634Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3578113Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3578521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3578909Z     x = stage(x)
2025-11-03T16:41:48.3579261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3579672Z     out = F.relu_(out)
2025-11-03T16:41:48.3579781Z 
2025-11-03T16:41:48.3579900Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3580403Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3580874Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3581287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3581699Z     x = stage(x)
2025-11-03T16:41:48.3582059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3582454Z     out = self.conv3(out)
2025-11-03T16:41:48.3582803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3583177Z     x = F.conv2d(
2025-11-03T16:41:48.3583282Z 
2025-11-03T16:41:48.3583393Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3583893Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3584374Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3584859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3585270Z     x = stage(x)
2025-11-03T16:41:48.3585640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:48.3586049Z     out = F.relu_(out)
2025-11-03T16:41:48.3586405Z 
2025-11-03T16:41:48.3586527Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3587125Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3587615Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3588023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3588412Z     x = stage(x)
2025-11-03T16:41:48.3588761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3589158Z     out = self.conv1(x)
2025-11-03T16:41:48.3589516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3589886Z     x = F.conv2d(
2025-11-03T16:41:48.3589986Z 
2025-11-03T16:41:48.3590106Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3590602Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3591085Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3591493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3591882Z     x = stage(x)
2025-11-03T16:41:48.3592232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3592624Z     out = F.relu_(out)
2025-11-03T16:41:48.3592740Z 
2025-11-03T16:41:48.3592851Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3593350Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3593828Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3594231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3594659Z     x = stage(x)
2025-11-03T16:41:48.3595022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3595422Z     out = self.conv2(out)
2025-11-03T16:41:48.3595778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3596139Z     x = F.conv2d(
2025-11-03T16:41:48.3596244Z 
2025-11-03T16:41:48.3596354Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3596886Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3597365Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3597773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3598166Z     x = stage(x)
2025-11-03T16:41:48.3598524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3598926Z     out = F.relu_(out)
2025-11-03T16:41:48.3599033Z 
2025-11-03T16:41:48.3599150Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3599640Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3600117Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3600525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3600923Z     x = stage(x)
2025-11-03T16:41:48.3601278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3601709Z     out = self.conv3(out)
2025-11-03T16:41:48.3602072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3602441Z     x = F.conv2d(
2025-11-03T16:41:48.3602539Z 
2025-11-03T16:41:48.3602656Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3603253Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3603735Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3604155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3604554Z     x = stage(x)
2025-11-03T16:41:48.3604922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:41:48.3605330Z     shortcut = self.shortcut(x)
2025-11-03T16:41:48.3605705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3606077Z     x = F.conv2d(
2025-11-03T16:41:48.3606174Z 
2025-11-03T16:41:48.3606292Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3606797Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3607281Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3607702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3608107Z     x = stage(x)
2025-11-03T16:41:48.3608472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3608871Z     out = self.conv1(x)
2025-11-03T16:41:48.3609227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3609618Z     x = F.conv2d(
2025-11-03T16:41:48.3609718Z 
2025-11-03T16:41:48.3609838Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3610337Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3610814Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3611234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3611652Z     x = stage(x)
2025-11-03T16:41:48.3612032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3612446Z     out = F.relu_(out)
2025-11-03T16:41:48.3612558Z 
2025-11-03T16:41:48.3612671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3613182Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3613671Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3614084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3614488Z     x = stage(x)
2025-11-03T16:41:48.3614845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3615273Z     out = self.conv2(out)
2025-11-03T16:41:48.3615637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3616006Z     x = F.conv2d(
2025-11-03T16:41:48.3616107Z 
2025-11-03T16:41:48.3616220Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3616763Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3617248Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3617657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3618054Z     x = stage(x)
2025-11-03T16:41:48.3618402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3618806Z     out = F.relu_(out)
2025-11-03T16:41:48.3618919Z 
2025-11-03T16:41:48.3619032Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3619536Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3620012Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3620417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3620810Z     x = stage(x)
2025-11-03T16:41:48.3621166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3621569Z     out = self.conv3(out)
2025-11-03T16:41:48.3621920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3622295Z     x = F.conv2d(
2025-11-03T16:41:48.3622401Z 
2025-11-03T16:41:48.3622514Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3623031Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3623524Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3623933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3624335Z     x = stage(x)
2025-11-03T16:41:48.3624820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:48.3625235Z     out = F.relu_(out)
2025-11-03T16:41:48.3625348Z 
2025-11-03T16:41:48.3625471Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3625979Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3626471Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3626940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3627335Z     x = stage(x)
2025-11-03T16:41:48.3627692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3628099Z     out = self.conv1(x)
2025-11-03T16:41:48.3628462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3628844Z     x = F.conv2d(
2025-11-03T16:41:48.3628945Z 
2025-11-03T16:41:48.3629068Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3629574Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3630069Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3630494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3630900Z     x = stage(x)
2025-11-03T16:41:48.3631258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3631664Z     out = F.relu_(out)
2025-11-03T16:41:48.3631780Z 
2025-11-03T16:41:48.3631932Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3632450Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3632940Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3633352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3633765Z     x = stage(x)
2025-11-03T16:41:48.3634132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3634544Z     out = self.conv2(out)
2025-11-03T16:41:48.3634902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3635272Z     x = F.conv2d(
2025-11-03T16:41:48.3635379Z 
2025-11-03T16:41:48.3635489Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3635992Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3636471Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3636882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3637273Z     x = stage(x)
2025-11-03T16:41:48.3637634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3638026Z     out = F.relu_(out)
2025-11-03T16:41:48.3638132Z 
2025-11-03T16:41:48.3638247Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3638738Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3639212Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3639622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3640038Z     x = stage(x)
2025-11-03T16:41:48.3640397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3640796Z     out = self.conv3(out)
2025-11-03T16:41:48.3641152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3641524Z     x = F.conv2d(
2025-11-03T16:41:48.3641643Z 
2025-11-03T16:41:48.3641761Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3642260Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3642729Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3643139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3643538Z     x = stage(x)
2025-11-03T16:41:48.3643898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:48.3644293Z     out = F.relu_(out)
2025-11-03T16:41:48.3644405Z 
2025-11-03T16:41:48.3644515Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3645009Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3645477Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3645860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3646223Z     x = stage(x)
2025-11-03T16:41:48.3646595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3646977Z     out = self.conv1(x)
2025-11-03T16:41:48.3647311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3647660Z     x = F.conv2d(
2025-11-03T16:41:48.3647754Z 
2025-11-03T16:41:48.3647857Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3648335Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3648792Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3649181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3649544Z     x = stage(x)
2025-11-03T16:41:48.3649888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3650266Z     out = F.relu_(out)
2025-11-03T16:41:48.3650370Z 
2025-11-03T16:41:48.3650483Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3650959Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3651406Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3651796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3652167Z     x = stage(x)
2025-11-03T16:41:48.3652509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3652885Z     out = self.conv2(out)
2025-11-03T16:41:48.3653215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3653565Z     x = F.conv2d(
2025-11-03T16:41:48.3653659Z 
2025-11-03T16:41:48.3653780Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3654303Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3654777Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3655191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3655589Z     x = stage(x)
2025-11-03T16:41:48.3655952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3656369Z     out = F.relu_(out)
2025-11-03T16:41:48.3656476Z 
2025-11-03T16:41:48.3656585Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3657087Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3657573Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3657983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3658382Z     x = stage(x)
2025-11-03T16:41:48.3658731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3659125Z     out = self.conv3(out)
2025-11-03T16:41:48.3659480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3659849Z     x = F.conv2d(
2025-11-03T16:41:48.3659945Z 
2025-11-03T16:41:48.3660054Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3660552Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3661066Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3661480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3661882Z     x = stage(x)
2025-11-03T16:41:48.3662239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:48.3662647Z     out = F.relu_(out)
2025-11-03T16:41:48.3662762Z 
2025-11-03T16:41:48.3662873Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3663376Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3663865Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3664284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3664777Z     x = stage(x)
2025-11-03T16:41:48.3665157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3665568Z     out = self.conv1(x)
2025-11-03T16:41:48.3665921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3666307Z     x = F.conv2d(
2025-11-03T16:41:48.3666415Z 
2025-11-03T16:41:48.3666526Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3667028Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3667516Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3667920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3668314Z     x = stage(x)
2025-11-03T16:41:48.3668675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3669095Z     out = F.relu_(out)
2025-11-03T16:41:48.3669201Z 
2025-11-03T16:41:48.3669319Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3669818Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3670292Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3670704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3671118Z     x = stage(x)
2025-11-03T16:41:48.3671468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3671867Z     out = self.conv2(out)
2025-11-03T16:41:48.3672227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3672599Z     x = F.conv2d(
2025-11-03T16:41:48.3672699Z 
2025-11-03T16:41:48.3672818Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3673316Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3673799Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3674209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3674605Z     x = stage(x)
2025-11-03T16:41:48.3674966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3675365Z     out = F.relu_(out)
2025-11-03T16:41:48.3675480Z 
2025-11-03T16:41:48.3675590Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3676132Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3676617Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3677020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3677417Z     x = stage(x)
2025-11-03T16:41:48.3677775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3678179Z     out = self.conv3(out)
2025-11-03T16:41:48.3678535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3678901Z     x = F.conv2d(
2025-11-03T16:41:48.3679007Z 
2025-11-03T16:41:48.3679119Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3679623Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3680100Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3680511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3680904Z     x = stage(x)
2025-11-03T16:41:48.3681261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:41:48.3681676Z     shortcut = self.shortcut(x)
2025-11-03T16:41:48.3682046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3682407Z     x = F.conv2d(
2025-11-03T16:41:48.3682516Z 
2025-11-03T16:41:48.3682625Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3683127Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3683610Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3684061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3684443Z     x = stage(x)
2025-11-03T16:41:48.3684804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3685203Z     out = self.conv1(x)
2025-11-03T16:41:48.3685557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3685949Z     x = F.conv2d(
2025-11-03T16:41:48.3686048Z 
2025-11-03T16:41:48.3686295Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3686810Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3687304Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3687723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3688110Z     x = stage(x)
2025-11-03T16:41:48.3688479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3688873Z     out = F.relu_(out)
2025-11-03T16:41:48.3688984Z 
2025-11-03T16:41:48.3689104Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3689608Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3690081Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3690491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3690878Z     x = stage(x)
2025-11-03T16:41:48.3691315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3691719Z     out = self.conv2(out)
2025-11-03T16:41:48.3692071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3692443Z     x = F.conv2d(
2025-11-03T16:41:48.3692541Z 
2025-11-03T16:41:48.3692660Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3693164Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3693632Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3694025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3694396Z     x = stage(x)
2025-11-03T16:41:48.3694741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3695115Z     out = F.relu_(out)
2025-11-03T16:41:48.3695216Z 
2025-11-03T16:41:48.3695321Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3695799Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3696248Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3696632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3697002Z     x = stage(x)
2025-11-03T16:41:48.3697329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3697701Z     out = self.conv3(out)
2025-11-03T16:41:48.3698040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3698393Z     x = F.conv2d(
2025-11-03T16:41:48.3698515Z 
2025-11-03T16:41:48.3698620Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3699091Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3699548Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3699951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3700350Z     x = stage(x)
2025-11-03T16:41:48.3700733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:48.3701137Z     out = F.relu_(out)
2025-11-03T16:41:48.3701250Z 
2025-11-03T16:41:48.3701359Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3701863Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3702342Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3702745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3703146Z     x = stage(x)
2025-11-03T16:41:48.3703504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3703910Z     out = self.conv1(x)
2025-11-03T16:41:48.3704253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3704702Z     x = F.conv2d(
2025-11-03T16:41:48.3704816Z 
2025-11-03T16:41:48.3704929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3705444Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3705982Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3706396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3706769Z     x = stage(x)
2025-11-03T16:41:48.3707106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3707476Z     out = F.relu_(out)
2025-11-03T16:41:48.3707578Z 
2025-11-03T16:41:48.3707689Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3708157Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3708615Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3709025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3709415Z     x = stage(x)
2025-11-03T16:41:48.3709766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3710160Z     out = self.conv2(out)
2025-11-03T16:41:48.3710516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3710892Z     x = F.conv2d(
2025-11-03T16:41:48.3710989Z 
2025-11-03T16:41:48.3711107Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3711599Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3712077Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3712485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3712873Z     x = stage(x)
2025-11-03T16:41:48.3713232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3713641Z     out = F.relu_(out)
2025-11-03T16:41:48.3713754Z 
2025-11-03T16:41:48.3713863Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3714365Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3714845Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3715249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3715659Z     x = stage(x)
2025-11-03T16:41:48.3716018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3716417Z     out = self.conv3(out)
2025-11-03T16:41:48.3716776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3717139Z     x = F.conv2d(
2025-11-03T16:41:48.3717245Z 
2025-11-03T16:41:48.3717353Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3717857Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3718333Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3718740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3719122Z     x = stage(x)
2025-11-03T16:41:48.3719479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:48.3719869Z     out = F.relu_(out)
2025-11-03T16:41:48.3719977Z 
2025-11-03T16:41:48.3720096Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3720625Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3721113Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3721526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3721917Z     x = stage(x)
2025-11-03T16:41:48.3722276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3722665Z     out = self.conv1(x)
2025-11-03T16:41:48.3723021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3723396Z     x = F.conv2d(
2025-11-03T16:41:48.3723495Z 
2025-11-03T16:41:48.3723613Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3724115Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3724587Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3724995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3725352Z     x = stage(x)
2025-11-03T16:41:48.3725681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3726033Z     out = F.relu_(out)
2025-11-03T16:41:48.3726140Z 
2025-11-03T16:41:48.3726241Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3726705Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3727145Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3727526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3727907Z     x = stage(x)
2025-11-03T16:41:48.3728239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3728610Z     out = self.conv2(out)
2025-11-03T16:41:48.3728943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3729291Z     x = F.conv2d(
2025-11-03T16:41:48.3729384Z 
2025-11-03T16:41:48.3729490Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3729993Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3730450Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3730826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3731180Z     x = stage(x)
2025-11-03T16:41:48.3731511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3731871Z     out = F.relu_(out)
2025-11-03T16:41:48.3731968Z 
2025-11-03T16:41:48.3732076Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3732538Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3732971Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3733351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3733709Z     x = stage(x)
2025-11-03T16:41:48.3734040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3734404Z     out = self.conv3(out)
2025-11-03T16:41:48.3734774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3735116Z     x = F.conv2d(
2025-11-03T16:41:48.3735215Z 
2025-11-03T16:41:48.3735318Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3735781Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3736226Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3736603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3736963Z     x = stage(x)
2025-11-03T16:41:48.3737292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:48.3737653Z     out = F.relu_(out)
2025-11-03T16:41:48.3737751Z 
2025-11-03T16:41:48.3737856Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3738334Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3738794Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3739182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3739548Z     x = stage(x)
2025-11-03T16:41:48.3739878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3740248Z     out = self.conv1(x)
2025-11-03T16:41:48.3740582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3740936Z     x = F.conv2d(
2025-11-03T16:41:48.3741033Z 
2025-11-03T16:41:48.3741142Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3741643Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3742152Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3742564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3742952Z     x = stage(x)
2025-11-03T16:41:48.3743299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3743715Z     out = F.relu_(out)
2025-11-03T16:41:48.3743830Z 
2025-11-03T16:41:48.3743939Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3744444Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3745027Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3745455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3745876Z     x = stage(x)
2025-11-03T16:41:48.3746236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3746635Z     out = self.conv2(out)
2025-11-03T16:41:48.3746989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3747371Z     x = F.conv2d(
2025-11-03T16:41:48.3747479Z 
2025-11-03T16:41:48.3747592Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3748098Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3748575Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3749018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3749408Z     x = stage(x)
2025-11-03T16:41:48.3749771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3750173Z     out = F.relu_(out)
2025-11-03T16:41:48.3750279Z 
2025-11-03T16:41:48.3750394Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3750899Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3751391Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3751810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3752205Z     x = stage(x)
2025-11-03T16:41:48.3752563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3752968Z     out = self.conv3(out)
2025-11-03T16:41:48.3753329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3753706Z     x = F.conv2d(
2025-11-03T16:41:48.3753805Z 
2025-11-03T16:41:48.3753924Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3754429Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3754923Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3755342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3755739Z     x = stage(x)
2025-11-03T16:41:48.3756101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:48.3756499Z     out = F.relu_(out)
2025-11-03T16:41:48.3756643Z 
2025-11-03T16:41:48.3756745Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3757223Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3757710Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3758114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3758490Z     x = stage(x)
2025-11-03T16:41:48.3758869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:48.3759262Z     out = self.conv1(x)
2025-11-03T16:41:48.3759611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3759982Z     x = F.conv2d(
2025-11-03T16:41:48.3760088Z 
2025-11-03T16:41:48.3760201Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3760700Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3761181Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3761590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3761970Z     x = stage(x)
2025-11-03T16:41:48.3762326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:48.3762717Z     out = F.relu_(out)
2025-11-03T16:41:48.3762822Z 
2025-11-03T16:41:48.3762941Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3763483Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3763958Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3764367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3764756Z     x = stage(x)
2025-11-03T16:41:48.3765116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:48.3765504Z     out = self.conv2(out)
2025-11-03T16:41:48.3765860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3766230Z     x = F.conv2d(
2025-11-03T16:41:48.3766329Z 
2025-11-03T16:41:48.3766443Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3766944Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3767422Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3767834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3768219Z     x = stage(x)
2025-11-03T16:41:48.3768575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:48.3768965Z     out = F.relu_(out)
2025-11-03T16:41:48.3769072Z 
2025-11-03T16:41:48.3769181Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3769682Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3770165Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3770578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3770959Z     x = stage(x)
2025-11-03T16:41:48.3771321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:48.3771744Z     out = self.conv3(out)
2025-11-03T16:41:48.3772105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:48.3772476Z     x = F.conv2d(
2025-11-03T16:41:48.3772576Z 
2025-11-03T16:41:48.3772685Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:48.3773190Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:48.3773698Z     features = self.backbone(images.tensor)
2025-11-03T16:41:48.3774119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:48.3774519Z     x = stage(x)
2025-11-03T16:41:48.3774879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:48.3775284Z     out = F.relu_(out)
2025-11-03T16:41:48.3775393Z 
2025-11-03T16:41:55.4233486Z cudagraph partition due to non gpu ops
2025-11-03T16:41:55.4233841Z cudagraph partition due to non gpu ops
2025-11-03T16:41:55.4234090Z cudagraph partition due to non gpu ops
2025-11-03T16:41:55.4234327Z cudagraph partition due to non gpu ops
2025-11-03T16:41:55.4234595Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:55.4235301Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:41:55.4235878Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:41:55.4236367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:41:55.4236857Z     return torch.as_tensor(x, device=device)
2025-11-03T16:41:55.4237031Z 
2025-11-03T16:41:55.4237791Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:55.4238323Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:41:55.4238846Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:41:55.4239034Z 
2025-11-03T16:41:56.0922916Z cudagraph partition due to non gpu ops
2025-11-03T16:41:56.0923268Z cudagraph partition due to non gpu ops
2025-11-03T16:41:56.0923561Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:56.0924228Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66
2025-11-03T16:41:56.0924798Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:41:56.0925221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:41:56.0925630Z     return torch.cat(tensors, dim)
2025-11-03T16:41:56.0925797Z 
2025-11-03T16:41:56.7004792Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:56.7005448Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243
2025-11-03T16:41:56.7005999Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:41:56.7006447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:41:56.7006857Z     return roi_align(
2025-11-03T16:41:56.7007277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:41:56.7007720Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:41:56.7007899Z 
2025-11-03T16:41:56.7008019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:56.7008572Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243
2025-11-03T16:41:56.7009435Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:41:56.7009864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:41:56.7010248Z     return roi_align(
2025-11-03T16:41:56.7010611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:41:56.7011023Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:41:56.7011245Z 
2025-11-03T16:42:01.2118397Z cudagraph partition due to non gpu ops
2025-11-03T16:42:01.2118762Z cudagraph partition due to non gpu ops
2025-11-03T16:42:01.2119052Z cudagraph partition due to non gpu ops
2025-11-03T16:42:01.2119370Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2120121Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2120692Z     return self.res5(x)
2025-11-03T16:42:01.2121162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:42:01.2121621Z     out = self.conv1(x)
2025-11-03T16:42:01.2122039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:42:01.2122468Z     x = F.conv2d(
2025-11-03T16:42:01.2122603Z 
2025-11-03T16:42:01.2122733Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2123314Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2123819Z     return self.res5(x)
2025-11-03T16:42:01.2124601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:42:01.2125154Z     out = F.relu_(out)
2025-11-03T16:42:01.2125272Z 
2025-11-03T16:42:01.2125396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2125936Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2126438Z     return self.res5(x)
2025-11-03T16:42:01.2126818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:42:01.2127225Z     out = self.conv2(out)
2025-11-03T16:42:01.2127591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:42:01.2127957Z     x = F.conv2d(
2025-11-03T16:42:01.2128068Z 
2025-11-03T16:42:01.2128180Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2128720Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2129212Z     return self.res5(x)
2025-11-03T16:42:01.2129586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:42:01.2129976Z     out = F.relu_(out)
2025-11-03T16:42:01.2130094Z 
2025-11-03T16:42:01.2130206Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2130739Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2131228Z     return self.res5(x)
2025-11-03T16:42:01.2131601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:42:01.2131996Z     out = self.conv3(out)
2025-11-03T16:42:01.2132359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:42:01.2132795Z     x = F.conv2d(
2025-11-03T16:42:01.2132895Z 
2025-11-03T16:42:01.2133012Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2133539Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2134028Z     return self.res5(x)
2025-11-03T16:42:01.2134399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:42:01.2134869Z     shortcut = self.shortcut(x)
2025-11-03T16:42:01.2135270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:42:01.2135632Z     x = F.conv2d(
2025-11-03T16:42:01.2135742Z 
2025-11-03T16:42:01.2135852Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2136397Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2136900Z     return self.res5(x)
2025-11-03T16:42:01.2137278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:42:01.2137662Z     out = self.conv1(x)
2025-11-03T16:42:01.2138006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:42:01.2138374Z     x = F.conv2d(
2025-11-03T16:42:01.2138473Z 
2025-11-03T16:42:01.2138593Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2139116Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2139603Z     return self.res5(x)
2025-11-03T16:42:01.2140023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:42:01.2140422Z     out = F.relu_(out)
2025-11-03T16:42:01.2140531Z 
2025-11-03T16:42:01.2140649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2141173Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2141661Z     return self.res5(x)
2025-11-03T16:42:01.2142033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:42:01.2142433Z     out = self.conv2(out)
2025-11-03T16:42:01.2142788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:42:01.2143151Z     x = F.conv2d(
2025-11-03T16:42:01.2143258Z 
2025-11-03T16:42:01.2143371Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2143907Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2144403Z     return self.res5(x)
2025-11-03T16:42:01.2144981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:42:01.2145388Z     out = F.relu_(out)
2025-11-03T16:42:01.2145510Z 
2025-11-03T16:42:01.2145630Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2146169Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2146655Z     return self.res5(x)
2025-11-03T16:42:01.2147021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:42:01.2147438Z     out = self.conv3(out)
2025-11-03T16:42:01.2147840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:42:01.2148218Z     x = F.conv2d(
2025-11-03T16:42:01.2148318Z 
2025-11-03T16:42:01.2148438Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2148994Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2149495Z     return self.res5(x)
2025-11-03T16:42:01.2149904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:42:01.2150342Z     out = F.relu_(out)
2025-11-03T16:42:01.2150460Z 
2025-11-03T16:42:01.2150574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2151121Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2151627Z     return self.res5(x)
2025-11-03T16:42:01.2152005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:42:01.2152416Z     out = self.conv1(x)
2025-11-03T16:42:01.2152777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:42:01.2153155Z     x = F.conv2d(
2025-11-03T16:42:01.2153256Z 
2025-11-03T16:42:01.2153371Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2153919Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2154425Z     return self.res5(x)
2025-11-03T16:42:01.2154854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:42:01.2155266Z     out = F.relu_(out)
2025-11-03T16:42:01.2155375Z 
2025-11-03T16:42:01.2155489Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2156032Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2156533Z     return self.res5(x)
2025-11-03T16:42:01.2156913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:42:01.2157321Z     out = self.conv2(out)
2025-11-03T16:42:01.2157662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:42:01.2158008Z     x = F.conv2d(
2025-11-03T16:42:01.2158113Z 
2025-11-03T16:42:01.2158223Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2158750Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2159237Z     return self.res5(x)
2025-11-03T16:42:01.2159598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:42:01.2159997Z     out = F.relu_(out)
2025-11-03T16:42:01.2160096Z 
2025-11-03T16:42:01.2160205Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2160704Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2161165Z     return self.res5(x)
2025-11-03T16:42:01.2161517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:42:01.2161890Z     out = self.conv3(out)
2025-11-03T16:42:01.2162226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:42:01.2162598Z     x = F.conv2d(
2025-11-03T16:42:01.2162691Z 
2025-11-03T16:42:01.2162795Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:01.2163297Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 457, in torch_dynamo_resume_in__shared_roi_transform_at_456
2025-11-03T16:42:01.2163755Z     return self.res5(x)
2025-11-03T16:42:01.2164105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:42:01.2164540Z     out = F.relu_(out)
2025-11-03T16:42:01.2164642Z 
2025-11-03T16:42:06.5909734Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:06.5910593Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477
2025-11-03T16:42:06.5911219Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:42:06.5911775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:42:06.5912216Z     scores = self.cls_score(x)
2025-11-03T16:42:06.5912359Z 
2025-11-03T16:42:06.5912481Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:06.5913049Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 480, in torch_dynamo_resume_in_forward_at_477
2025-11-03T16:42:06.5913612Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:42:06.5914100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:42:06.5914529Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:42:06.5914692Z 
2025-11-03T16:42:08.1935855Z cudagraph partition due to non gpu ops
2025-11-03T16:42:08.1936807Z cudagraph partition due to non gpu ops
2025-11-03T16:42:08.1937066Z cudagraph partition due to non gpu ops
2025-11-03T16:42:08.1937324Z cudagraph partition due to non gpu ops
2025-11-03T16:42:08.1937613Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:08.1938134Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:42:08.1938626Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:42:08.1939123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:42:08.1939688Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:42:08.1940175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:42:08.1940583Z     return torch.cat(tensors, dim)
2025-11-03T16:42:08.1940773Z 
2025-11-03T16:42:08.1940907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:08.1941398Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:42:08.1941888Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:42:08.1942363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:42:08.1943173Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:42:08.1943656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:42:08.1944138Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:42:08.1944308Z 
2025-11-03T16:42:10.5661132Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:10.5661771Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:42:10.5662622Z     max_coordinate = boxes.max()
2025-11-03T16:42:10.5662783Z 
2025-11-03T16:42:10.5662910Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:10.5663404Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:42:10.5663868Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:42:10.5664026Z 
2025-11-03T16:42:11.3313399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:11.3317697Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:42:11.3321393Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:42:11.3321636Z 
2025-11-03T16:42:11.3321770Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:11.3322510Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:42:11.3323147Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:42:11.3323366Z 
2025-11-03T16:42:11.3325306Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:11.3325996Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:42:11.3326743Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:42:11.3326977Z 
2025-11-03T16:42:25.1605003Z Compilation time (from dynamo_timed): 38.861460768
2025-11-03T16:42:25.1605331Z pass
2025-11-03T16:42:25.1608808Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:42:25.1610005Z TIMING: gc:0.04623 entire_frame_compile:38.86146 _recursive_pre_grad_passes:0.02975 async_compile.wait:4.92388 backend_compile:22.898 _recursive_joint_graph_passes:0.50512 _recursive_post_grad_passes:0.10653 code_gen:8.24122 inductor_compile:10.13561 total_wall_time:38.86146
2025-11-03T16:42:25.1611251Z STATS: call_* op count: 606 | FakeTensorMode.__torch_dispatch__:11820 | FakeTensor.__torch_dispatch__:6155 | ProxyTorchDispatchMode.__torch_dispatch__:2968 | attempt fast:49 | slow no contiguity match:20 | fast is_contiguous:29
2025-11-03T16:42:25.1611966Z Dynamo produced 53 graphs covering 606 ops with 42 graph breaks (6 unique)
2025-11-03T16:42:28.1798144Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:42:28.1799590Z   import pynvml  # type: ignore[import]
2025-11-03T16:42:30.5354968Z 
2025-11-03T16:42:36.5022023Z loading model: 0it [00:00, ?it/s]W1103 16:42:36.500000 19385 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:42:40.6388484Z 
2025-11-03T16:42:40.6389035Z loading model: 0it [00:10, ?it/s]
2025-11-03T16:42:40.6406827Z cpu  eval  detectron2_fasterrcnn_r_50_dc5     
2025-11-03T16:42:55.9410700Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_dc5. Setting accuracy check to cosine
2025-11-03T16:42:55.9822886Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:43:10.0836738Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:43:24.1772907Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:43:43.6875186Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6878439Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6878749Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6879006Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6879246Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6879486Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6879874Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6880588Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6880826Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6881074Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6881312Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6881542Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6881764Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6882010Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6882251Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6882486Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6882724Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6882971Z cudagraph partition due to non gpu ops
2025-11-03T16:43:43.6883392Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6884006Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6884634Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6888343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:43:43.6888824Z     x = self.stem(x)
2025-11-03T16:43:43.6889319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:43:43.6890186Z     x = self.conv1(x)
2025-11-03T16:43:43.6890609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6891049Z     x = F.conv2d(
2025-11-03T16:43:43.6891166Z 
2025-11-03T16:43:43.6891302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6891853Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6892378Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6892859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:43:43.6893282Z     x = self.stem(x)
2025-11-03T16:43:43.6893669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:43:43.6894092Z     x = F.relu_(x)
2025-11-03T16:43:43.6894200Z 
2025-11-03T16:43:43.6894321Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6894853Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6895365Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6895815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:43:43.6896239Z     x = self.stem(x)
2025-11-03T16:43:43.6896613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:43:43.6897095Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:43:43.6897287Z 
2025-11-03T16:43:43.6897407Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6897958Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6898548Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6898973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6899405Z     x = stage(x)
2025-11-03T16:43:43.6899786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.6900225Z     out = self.conv1(x)
2025-11-03T16:43:43.6900613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6901055Z     x = F.conv2d(
2025-11-03T16:43:43.6901168Z 
2025-11-03T16:43:43.6901283Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6901823Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6902354Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6902782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6903179Z     x = stage(x)
2025-11-03T16:43:43.6903561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.6903968Z     out = F.relu_(out)
2025-11-03T16:43:43.6904084Z 
2025-11-03T16:43:43.6904205Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6904823Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6905338Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6905765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6906170Z     x = stage(x)
2025-11-03T16:43:43.6906609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.6907017Z     out = self.conv2(out)
2025-11-03T16:43:43.6907404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6907789Z     x = F.conv2d(
2025-11-03T16:43:43.6907894Z 
2025-11-03T16:43:43.6908019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6908543Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6909037Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6909465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6909871Z     x = stage(x)
2025-11-03T16:43:43.6910249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.6910650Z     out = F.relu_(out)
2025-11-03T16:43:43.6910775Z 
2025-11-03T16:43:43.6910888Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6911412Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6911907Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6912330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6912722Z     x = stage(x)
2025-11-03T16:43:43.6913093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.6913502Z     out = self.conv3(out)
2025-11-03T16:43:43.6913880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6914301Z     x = F.conv2d(
2025-11-03T16:43:43.6914403Z 
2025-11-03T16:43:43.6914517Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6915042Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6915537Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6915957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6916383Z     x = stage(x)
2025-11-03T16:43:43.6916749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:43:43.6917163Z     shortcut = self.shortcut(x)
2025-11-03T16:43:43.6917547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6917944Z     x = F.conv2d(
2025-11-03T16:43:43.6918049Z 
2025-11-03T16:43:43.6918163Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6918680Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6919173Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6919595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6919995Z     x = stage(x)
2025-11-03T16:43:43.6920360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.6920766Z     out = self.conv1(x)
2025-11-03T16:43:43.6921128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6921514Z     x = F.conv2d(
2025-11-03T16:43:43.6921615Z 
2025-11-03T16:43:43.6921780Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6922302Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6922845Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6923273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6923673Z     x = stage(x)
2025-11-03T16:43:43.6924036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.6924448Z     out = F.relu_(out)
2025-11-03T16:43:43.6924569Z 
2025-11-03T16:43:43.6924684Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6925208Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6925708Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6926125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6926529Z     x = stage(x)
2025-11-03T16:43:43.6926899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.6927317Z     out = self.conv2(out)
2025-11-03T16:43:43.6927676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6928062Z     x = F.conv2d(
2025-11-03T16:43:43.6928172Z 
2025-11-03T16:43:43.6928286Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6928806Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6929305Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6929865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6930288Z     x = stage(x)
2025-11-03T16:43:43.6930662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.6931081Z     out = F.relu_(out)
2025-11-03T16:43:43.6931195Z 
2025-11-03T16:43:43.6931318Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6931835Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6932370Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6932795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6933195Z     x = stage(x)
2025-11-03T16:43:43.6933565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.6933972Z     out = self.conv3(out)
2025-11-03T16:43:43.6934347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6934736Z     x = F.conv2d(
2025-11-03T16:43:43.6934835Z 
2025-11-03T16:43:43.6934956Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6935465Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6935964Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6936385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6936789Z     x = stage(x)
2025-11-03T16:43:43.6937227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.6937628Z     out = F.relu_(out)
2025-11-03T16:43:43.6937750Z 
2025-11-03T16:43:43.6937864Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6938379Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6938875Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6939283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6939682Z     x = stage(x)
2025-11-03T16:43:43.6940046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.6940447Z     out = self.conv1(x)
2025-11-03T16:43:43.6940814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6941187Z     x = F.conv2d(
2025-11-03T16:43:43.6941296Z 
2025-11-03T16:43:43.6941410Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6941927Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6942418Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6942837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6943230Z     x = stage(x)
2025-11-03T16:43:43.6943597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.6944003Z     out = F.relu_(out)
2025-11-03T16:43:43.6944115Z 
2025-11-03T16:43:43.6944238Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6944969Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6945520Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6945957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6946436Z     x = stage(x)
2025-11-03T16:43:43.6946810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.6947218Z     out = self.conv2(out)
2025-11-03T16:43:43.6947631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6948025Z     x = F.conv2d(
2025-11-03T16:43:43.6948132Z 
2025-11-03T16:43:43.6948258Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6948787Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6949299Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6949727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6950132Z     x = stage(x)
2025-11-03T16:43:43.6950509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.6950915Z     out = F.relu_(out)
2025-11-03T16:43:43.6951041Z 
2025-11-03T16:43:43.6951159Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6951690Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6952206Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6952679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6953082Z     x = stage(x)
2025-11-03T16:43:43.6953459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.6953871Z     out = self.conv3(out)
2025-11-03T16:43:43.6954245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6954645Z     x = F.conv2d(
2025-11-03T16:43:43.6954747Z 
2025-11-03T16:43:43.6954865Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6955392Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6955902Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6956328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6956719Z     x = stage(x)
2025-11-03T16:43:43.6957099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.6957508Z     out = F.relu_(out)
2025-11-03T16:43:43.6957619Z 
2025-11-03T16:43:43.6957741Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6958262Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6958749Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6959180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6959585Z     x = stage(x)
2025-11-03T16:43:43.6959975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.6960382Z     out = self.conv1(x)
2025-11-03T16:43:43.6960750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6961159Z     x = F.conv2d(
2025-11-03T16:43:43.6961261Z 
2025-11-03T16:43:43.6961385Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6961910Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6962404Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6962825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6963261Z     x = stage(x)
2025-11-03T16:43:43.6963631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.6964038Z     out = F.relu_(out)
2025-11-03T16:43:43.6964149Z 
2025-11-03T16:43:43.6964267Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6964794Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6965302Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6965728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6966132Z     x = stage(x)
2025-11-03T16:43:43.6966526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.6966940Z     out = self.conv2(out)
2025-11-03T16:43:43.6967311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6967693Z     x = F.conv2d(
2025-11-03T16:43:43.6967795Z 
2025-11-03T16:43:43.6967910Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6968485Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6969020Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6969447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6969850Z     x = stage(x)
2025-11-03T16:43:43.6970209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.6970613Z     out = F.relu_(out)
2025-11-03T16:43:43.6970733Z 
2025-11-03T16:43:43.6970847Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6971371Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6971868Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6972288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6972692Z     x = stage(x)
2025-11-03T16:43:43.6973061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.6973465Z     out = self.conv3(out)
2025-11-03T16:43:43.6973829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6974207Z     x = F.conv2d(
2025-11-03T16:43:43.6974316Z 
2025-11-03T16:43:43.6974432Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6974944Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6975440Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6975856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6976291Z     x = stage(x)
2025-11-03T16:43:43.6976659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:43:43.6977077Z     shortcut = self.shortcut(x)
2025-11-03T16:43:43.6977456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6977836Z     x = F.conv2d(
2025-11-03T16:43:43.6977943Z 
2025-11-03T16:43:43.6978057Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6978602Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6979100Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6979525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6979941Z     x = stage(x)
2025-11-03T16:43:43.6980319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.6980737Z     out = self.conv1(x)
2025-11-03T16:43:43.6981108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6981501Z     x = F.conv2d(
2025-11-03T16:43:43.6981615Z 
2025-11-03T16:43:43.6981732Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6982260Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6982766Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6983199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6983604Z     x = stage(x)
2025-11-03T16:43:43.6984030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.6984453Z     out = F.relu_(out)
2025-11-03T16:43:43.6984648Z 
2025-11-03T16:43:43.6984780Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6985308Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6985805Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6986460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6986890Z     x = stage(x)
2025-11-03T16:43:43.6987269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.6987685Z     out = self.conv2(out)
2025-11-03T16:43:43.6988068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6988467Z     x = F.conv2d(
2025-11-03T16:43:43.6988573Z 
2025-11-03T16:43:43.6988697Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6989227Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6989719Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6990210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6990632Z     x = stage(x)
2025-11-03T16:43:43.6991011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.6991410Z     out = F.relu_(out)
2025-11-03T16:43:43.6991528Z 
2025-11-03T16:43:43.6991638Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6992156Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6992752Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6993182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6993586Z     x = stage(x)
2025-11-03T16:43:43.6993968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.6994433Z     out = self.conv3(out)
2025-11-03T16:43:43.6994809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.6995198Z     x = F.conv2d(
2025-11-03T16:43:43.6995300Z 
2025-11-03T16:43:43.6995413Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6995938Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6996431Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6996861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.6997257Z     x = stage(x)
2025-11-03T16:43:43.6997613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.6998006Z     out = F.relu_(out)
2025-11-03T16:43:43.6998114Z 
2025-11-03T16:43:43.6998234Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.6998739Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.6999210Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.6999702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7000100Z     x = stage(x)
2025-11-03T16:43:43.7000457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7000865Z     out = self.conv1(x)
2025-11-03T16:43:43.7001211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7001583Z     x = F.conv2d(
2025-11-03T16:43:43.7001689Z 
2025-11-03T16:43:43.7001802Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7002308Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7002785Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7003198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7003599Z     x = stage(x)
2025-11-03T16:43:43.7003962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7004367Z     out = F.relu_(out)
2025-11-03T16:43:43.7004473Z 
2025-11-03T16:43:43.7004584Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7005087Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7005569Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7005980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7006389Z     x = stage(x)
2025-11-03T16:43:43.7006742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7007143Z     out = self.conv2(out)
2025-11-03T16:43:43.7007538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7007908Z     x = F.conv2d(
2025-11-03T16:43:43.7008007Z 
2025-11-03T16:43:43.7008117Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7008619Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7009103Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7009538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7009926Z     x = stage(x)
2025-11-03T16:43:43.7010276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7010682Z     out = F.relu_(out)
2025-11-03T16:43:43.7010799Z 
2025-11-03T16:43:43.7010916Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7011438Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7011928Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7012340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7012739Z     x = stage(x)
2025-11-03T16:43:43.7013103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7013511Z     out = self.conv3(out)
2025-11-03T16:43:43.7013864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7014242Z     x = F.conv2d(
2025-11-03T16:43:43.7014349Z 
2025-11-03T16:43:43.7015368Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7015909Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7016404Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7016819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7017227Z     x = stage(x)
2025-11-03T16:43:43.7017597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.7018008Z     out = F.relu_(out)
2025-11-03T16:43:43.7018119Z 
2025-11-03T16:43:43.7018239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7018760Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7019258Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7019830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7020247Z     x = stage(x)
2025-11-03T16:43:43.7020616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7021027Z     out = self.conv1(x)
2025-11-03T16:43:43.7021395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7021779Z     x = F.conv2d(
2025-11-03T16:43:43.7021882Z 
2025-11-03T16:43:43.7022005Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7022519Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7023017Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7023443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7023884Z     x = stage(x)
2025-11-03T16:43:43.7024259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7024749Z     out = F.relu_(out)
2025-11-03T16:43:43.7024875Z 
2025-11-03T16:43:43.7024991Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7025512Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7026043Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7026476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7026892Z     x = stage(x)
2025-11-03T16:43:43.7027271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7027700Z     out = self.conv2(out)
2025-11-03T16:43:43.7028073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7028458Z     x = F.conv2d(
2025-11-03T16:43:43.7028565Z 
2025-11-03T16:43:43.7028680Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7029200Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7029700Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7030129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7030536Z     x = stage(x)
2025-11-03T16:43:43.7030944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7031389Z     out = F.relu_(out)
2025-11-03T16:43:43.7031499Z 
2025-11-03T16:43:43.7031619Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7032133Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7032629Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7033059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7033469Z     x = stage(x)
2025-11-03T16:43:43.7033839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7034251Z     out = self.conv3(out)
2025-11-03T16:43:43.7034619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7035002Z     x = F.conv2d(
2025-11-03T16:43:43.7035106Z 
2025-11-03T16:43:43.7035228Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7035745Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7036226Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7036656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7037059Z     x = stage(x)
2025-11-03T16:43:43.7037441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.7037846Z     out = F.relu_(out)
2025-11-03T16:43:43.7037955Z 
2025-11-03T16:43:43.7038064Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7038574Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7039109Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7039531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7039941Z     x = stage(x)
2025-11-03T16:43:43.7040312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7040728Z     out = self.conv1(x)
2025-11-03T16:43:43.7041098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7041508Z     x = F.conv2d(
2025-11-03T16:43:43.7041611Z 
2025-11-03T16:43:43.7041727Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7042245Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7042745Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7043177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7043577Z     x = stage(x)
2025-11-03T16:43:43.7043938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7044344Z     out = F.relu_(out)
2025-11-03T16:43:43.7044485Z 
2025-11-03T16:43:43.7044600Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7045119Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7045602Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7046029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7046431Z     x = stage(x)
2025-11-03T16:43:43.7046862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7047273Z     out = self.conv2(out)
2025-11-03T16:43:43.7047632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7048014Z     x = F.conv2d(
2025-11-03T16:43:43.7048125Z 
2025-11-03T16:43:43.7048238Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7048749Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7049244Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7049658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7050065Z     x = stage(x)
2025-11-03T16:43:43.7050438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7050841Z     out = F.relu_(out)
2025-11-03T16:43:43.7050951Z 
2025-11-03T16:43:43.7051066Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7051588Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7052079Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7052501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7052901Z     x = stage(x)
2025-11-03T16:43:43.7053261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7053672Z     out = self.conv3(out)
2025-11-03T16:43:43.7054046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7054457Z     x = F.conv2d(
2025-11-03T16:43:43.7054559Z 
2025-11-03T16:43:43.7054681Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7055196Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7055693Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7056115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7056564Z     x = stage(x)
2025-11-03T16:43:43.7056929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:43:43.7057347Z     shortcut = self.shortcut(x)
2025-11-03T16:43:43.7057732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7058119Z     x = F.conv2d(
2025-11-03T16:43:43.7058223Z 
2025-11-03T16:43:43.7058347Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7058856Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7059351Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7059773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7060178Z     x = stage(x)
2025-11-03T16:43:43.7060550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7060954Z     out = self.conv1(x)
2025-11-03T16:43:43.7061319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7061705Z     x = F.conv2d(
2025-11-03T16:43:43.7061806Z 
2025-11-03T16:43:43.7061976Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7062498Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7062997Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7063420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7063823Z     x = stage(x)
2025-11-03T16:43:43.7064189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7064682Z     out = F.relu_(out)
2025-11-03T16:43:43.7064812Z 
2025-11-03T16:43:43.7064929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7065456Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7065960Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7066387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7066787Z     x = stage(x)
2025-11-03T16:43:43.7067162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7067579Z     out = self.conv2(out)
2025-11-03T16:43:43.7067954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7068332Z     x = F.conv2d(
2025-11-03T16:43:43.7068445Z 
2025-11-03T16:43:43.7068558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7069079Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7069576Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7070029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7070420Z     x = stage(x)
2025-11-03T16:43:43.7070784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7071188Z     out = F.relu_(out)
2025-11-03T16:43:43.7071298Z 
2025-11-03T16:43:43.7071414Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7071925Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7072449Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7072869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7073276Z     x = stage(x)
2025-11-03T16:43:43.7073647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7074056Z     out = self.conv3(out)
2025-11-03T16:43:43.7074423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7074807Z     x = F.conv2d(
2025-11-03T16:43:43.7074907Z 
2025-11-03T16:43:43.7075029Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7075549Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7076037Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7076466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7076871Z     x = stage(x)
2025-11-03T16:43:43.7077295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.7077709Z     out = F.relu_(out)
2025-11-03T16:43:43.7077819Z 
2025-11-03T16:43:43.7077935Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7078456Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7078952Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7079376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7079769Z     x = stage(x)
2025-11-03T16:43:43.7080136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7080543Z     out = self.conv1(x)
2025-11-03T16:43:43.7080913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7081293Z     x = F.conv2d(
2025-11-03T16:43:43.7081394Z 
2025-11-03T16:43:43.7081509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7082029Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7082521Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7082940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7083345Z     x = stage(x)
2025-11-03T16:43:43.7083704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7084108Z     out = F.relu_(out)
2025-11-03T16:43:43.7084226Z 
2025-11-03T16:43:43.7084340Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7084859Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7085382Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7085796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7086436Z     x = stage(x)
2025-11-03T16:43:43.7086821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7087231Z     out = self.conv2(out)
2025-11-03T16:43:43.7087664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7088041Z     x = F.conv2d(
2025-11-03T16:43:43.7088148Z 
2025-11-03T16:43:43.7088258Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7088765Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7089254Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7089656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7090048Z     x = stage(x)
2025-11-03T16:43:43.7090403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7090795Z     out = F.relu_(out)
2025-11-03T16:43:43.7090902Z 
2025-11-03T16:43:43.7091010Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7091513Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7092116Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7092585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7092980Z     x = stage(x)
2025-11-03T16:43:43.7093326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7093720Z     out = self.conv3(out)
2025-11-03T16:43:43.7094078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7094445Z     x = F.conv2d(
2025-11-03T16:43:43.7094547Z 
2025-11-03T16:43:43.7094664Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7095163Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7095642Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7096050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7096438Z     x = stage(x)
2025-11-03T16:43:43.7096793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.7097187Z     out = F.relu_(out)
2025-11-03T16:43:43.7097306Z 
2025-11-03T16:43:43.7097416Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7097918Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7098398Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7098799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7099188Z     x = stage(x)
2025-11-03T16:43:43.7099544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7099940Z     out = self.conv1(x)
2025-11-03T16:43:43.7100295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7100690Z     x = F.conv2d(
2025-11-03T16:43:43.7100797Z 
2025-11-03T16:43:43.7100906Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7101409Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7101888Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7102286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7102696Z     x = stage(x)
2025-11-03T16:43:43.7103053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7103443Z     out = F.relu_(out)
2025-11-03T16:43:43.7103549Z 
2025-11-03T16:43:43.7103671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7104172Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7104726Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7105154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7105556Z     x = stage(x)
2025-11-03T16:43:43.7105922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7106327Z     out = self.conv2(out)
2025-11-03T16:43:43.7106691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7107079Z     x = F.conv2d(
2025-11-03T16:43:43.7107181Z 
2025-11-03T16:43:43.7107302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7107852Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7108349Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7108768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7109170Z     x = stage(x)
2025-11-03T16:43:43.7109533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7109925Z     out = F.relu_(out)
2025-11-03T16:43:43.7110044Z 
2025-11-03T16:43:43.7110157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7110671Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7111157Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7111579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7111973Z     x = stage(x)
2025-11-03T16:43:43.7112338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7112744Z     out = self.conv3(out)
2025-11-03T16:43:43.7113111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7113489Z     x = F.conv2d(
2025-11-03T16:43:43.7113598Z 
2025-11-03T16:43:43.7113715Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7114232Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7114722Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7115146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7115637Z     x = stage(x)
2025-11-03T16:43:43.7116006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.7116417Z     out = F.relu_(out)
2025-11-03T16:43:43.7116527Z 
2025-11-03T16:43:43.7116648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7117162Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7117676Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7118100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7118499Z     x = stage(x)
2025-11-03T16:43:43.7118889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7119294Z     out = self.conv1(x)
2025-11-03T16:43:43.7119652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7120032Z     x = F.conv2d(
2025-11-03T16:43:43.7120134Z 
2025-11-03T16:43:43.7120255Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7120770Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7121242Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7121668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7122075Z     x = stage(x)
2025-11-03T16:43:43.7122437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7122826Z     out = F.relu_(out)
2025-11-03T16:43:43.7122971Z 
2025-11-03T16:43:43.7123088Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7123601Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7124088Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7124501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7124897Z     x = stage(x)
2025-11-03T16:43:43.7125257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7125660Z     out = self.conv2(out)
2025-11-03T16:43:43.7126023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7126412Z     x = F.conv2d(
2025-11-03T16:43:43.7126517Z 
2025-11-03T16:43:43.7126638Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7127159Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7127641Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7128054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7128447Z     x = stage(x)
2025-11-03T16:43:43.7128804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7129208Z     out = F.relu_(out)
2025-11-03T16:43:43.7129327Z 
2025-11-03T16:43:43.7129440Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7129945Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7130434Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7130872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7131269Z     x = stage(x)
2025-11-03T16:43:43.7131636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7132041Z     out = self.conv3(out)
2025-11-03T16:43:43.7132407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7132795Z     x = F.conv2d(
2025-11-03T16:43:43.7132903Z 
2025-11-03T16:43:43.7133014Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7133517Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7133998Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7134407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7134802Z     x = stage(x)
2025-11-03T16:43:43.7135166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.7135559Z     out = F.relu_(out)
2025-11-03T16:43:43.7135673Z 
2025-11-03T16:43:43.7135794Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7136304Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7136798Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7137217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7137617Z     x = stage(x)
2025-11-03T16:43:43.7138011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7138423Z     out = self.conv1(x)
2025-11-03T16:43:43.7138784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7139162Z     x = F.conv2d(
2025-11-03T16:43:43.7139263Z 
2025-11-03T16:43:43.7139384Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7139891Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7140389Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7140807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7141207Z     x = stage(x)
2025-11-03T16:43:43.7141571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7141979Z     out = F.relu_(out)
2025-11-03T16:43:43.7142095Z 
2025-11-03T16:43:43.7142208Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7142730Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7143225Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7143639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7144045Z     x = stage(x)
2025-11-03T16:43:43.7144414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7144926Z     out = self.conv2(out)
2025-11-03T16:43:43.7145296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7145676Z     x = F.conv2d(
2025-11-03T16:43:43.7145819Z 
2025-11-03T16:43:43.7145932Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7146449Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7164443Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7165112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7165539Z     x = stage(x)
2025-11-03T16:43:43.7166088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7166516Z     out = F.relu_(out)
2025-11-03T16:43:43.7166642Z 
2025-11-03T16:43:43.7166781Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7167334Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7167863Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7168315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7168730Z     x = stage(x)
2025-11-03T16:43:43.7169115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7169530Z     out = self.conv3(out)
2025-11-03T16:43:43.7169918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7170311Z     x = F.conv2d(
2025-11-03T16:43:43.7170417Z 
2025-11-03T16:43:43.7170547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7171085Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7171657Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7172095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7172505Z     x = stage(x)
2025-11-03T16:43:43.7172882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.7173288Z     out = F.relu_(out)
2025-11-03T16:43:43.7173403Z 
2025-11-03T16:43:43.7173522Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7174055Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7174554Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7174983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7175393Z     x = stage(x)
2025-11-03T16:43:43.7175759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7176233Z     out = self.conv1(x)
2025-11-03T16:43:43.7176604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7176981Z     x = F.conv2d(
2025-11-03T16:43:43.7177086Z 
2025-11-03T16:43:43.7177202Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7177724Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7178225Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7178652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7179052Z     x = stage(x)
2025-11-03T16:43:43.7179427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7179884Z     out = F.relu_(out)
2025-11-03T16:43:43.7180006Z 
2025-11-03T16:43:43.7180123Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7180645Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7181140Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7181557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7182005Z     x = stage(x)
2025-11-03T16:43:43.7182381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7182795Z     out = self.conv2(out)
2025-11-03T16:43:43.7183167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7183554Z     x = F.conv2d(
2025-11-03T16:43:43.7183665Z 
2025-11-03T16:43:43.7183778Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7184294Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7184908Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7185329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7185742Z     x = stage(x)
2025-11-03T16:43:43.7186333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7186755Z     out = F.relu_(out)
2025-11-03T16:43:43.7186868Z 
2025-11-03T16:43:43.7186993Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7187637Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7188146Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7188554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7188944Z     x = stage(x)
2025-11-03T16:43:43.7189294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7189708Z     out = self.conv3(out)
2025-11-03T16:43:43.7190079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7190471Z     x = F.conv2d(
2025-11-03T16:43:43.7190574Z 
2025-11-03T16:43:43.7190695Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7191205Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7191698Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7192119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7192518Z     x = stage(x)
2025-11-03T16:43:43.7192881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:43:43.7193290Z     shortcut = self.shortcut(x)
2025-11-03T16:43:43.7193672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7194045Z     x = F.conv2d(
2025-11-03T16:43:43.7194146Z 
2025-11-03T16:43:43.7194266Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7194773Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7195298Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7195720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7196121Z     x = stage(x)
2025-11-03T16:43:43.7196489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7196888Z     out = self.conv1(x)
2025-11-03T16:43:43.7197255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7197667Z     x = F.conv2d(
2025-11-03T16:43:43.7197769Z 
2025-11-03T16:43:43.7197893Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7198413Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7198909Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7199333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7199737Z     x = stage(x)
2025-11-03T16:43:43.7200105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7200501Z     out = F.relu_(out)
2025-11-03T16:43:43.7200620Z 
2025-11-03T16:43:43.7200731Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7201248Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7201739Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7202159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7202551Z     x = stage(x)
2025-11-03T16:43:43.7202965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7203380Z     out = self.conv2(out)
2025-11-03T16:43:43.7203750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7204141Z     x = F.conv2d(
2025-11-03T16:43:43.7204244Z 
2025-11-03T16:43:43.7204357Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7204878Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7205373Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7205795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7206186Z     x = stage(x)
2025-11-03T16:43:43.7206559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7206964Z     out = F.relu_(out)
2025-11-03T16:43:43.7207074Z 
2025-11-03T16:43:43.7207196Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7207712Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7208193Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7208612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7209015Z     x = stage(x)
2025-11-03T16:43:43.7209380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7209786Z     out = self.conv3(out)
2025-11-03T16:43:43.7210148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7210555Z     x = F.conv2d(
2025-11-03T16:43:43.7210664Z 
2025-11-03T16:43:43.7210779Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7211303Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7211789Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7212215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7212647Z     x = stage(x)
2025-11-03T16:43:43.7213012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.7213412Z     out = F.relu_(out)
2025-11-03T16:43:43.7213523Z 
2025-11-03T16:43:43.7213637Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7214158Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7214656Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7215080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7215480Z     x = stage(x)
2025-11-03T16:43:43.7215839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:43.7216245Z     out = self.conv1(x)
2025-11-03T16:43:43.7216608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7216995Z     x = F.conv2d(
2025-11-03T16:43:43.7217096Z 
2025-11-03T16:43:43.7217207Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7217768Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7218272Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7218698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7219099Z     x = stage(x)
2025-11-03T16:43:43.7219461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:43.7219866Z     out = F.relu_(out)
2025-11-03T16:43:43.7219982Z 
2025-11-03T16:43:43.7220099Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7220617Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7221111Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7221529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7221934Z     x = stage(x)
2025-11-03T16:43:43.7222302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:43.7222710Z     out = self.conv2(out)
2025-11-03T16:43:43.7223081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7223469Z     x = F.conv2d(
2025-11-03T16:43:43.7223581Z 
2025-11-03T16:43:43.7223695Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7224217Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7224839Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7225258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7225665Z     x = stage(x)
2025-11-03T16:43:43.7226070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:43.7226479Z     out = F.relu_(out)
2025-11-03T16:43:43.7226594Z 
2025-11-03T16:43:43.7226719Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7227239Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7227742Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7228186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7228585Z     x = stage(x)
2025-11-03T16:43:43.7228942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:43.7229345Z     out = self.conv3(out)
2025-11-03T16:43:43.7229720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:43.7230086Z     x = F.conv2d(
2025-11-03T16:43:43.7230185Z 
2025-11-03T16:43:43.7230302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:43.7230795Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:43.7231298Z     features = self.backbone(images.tensor)
2025-11-03T16:43:43.7231719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:43.7232119Z     x = stage(x)
2025-11-03T16:43:43.7232482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:43.7232881Z     out = F.relu_(out)
2025-11-03T16:43:43.7233000Z 
2025-11-03T16:43:52.4581128Z cudagraph partition due to non gpu ops
2025-11-03T16:43:52.4581623Z cudagraph partition due to non gpu ops
2025-11-03T16:43:52.4583929Z cudagraph partition due to non gpu ops
2025-11-03T16:43:52.4584919Z cudagraph partition due to non gpu ops
2025-11-03T16:43:52.4585329Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:52.4585898Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:43:52.4586659Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:43:52.4587213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:43:52.4587677Z     return torch.as_tensor(x, device=device)
2025-11-03T16:43:52.4587864Z 
2025-11-03T16:43:52.4588002Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:52.4588539Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:43:52.4589191Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:43:52.4589396Z 
2025-11-03T16:43:53.1151468Z cudagraph partition due to non gpu ops
2025-11-03T16:43:53.1151932Z cudagraph partition due to non gpu ops
2025-11-03T16:43:53.1152224Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:53.1152845Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 69, in torch_dynamo_resume_in__convert_boxes_to_pooler_format_at_66
2025-11-03T16:43:53.1153449Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:43:53.1153881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:43:53.1154274Z     return torch.cat(tensors, dim)
2025-11-03T16:43:53.1154429Z 
2025-11-03T16:43:53.7256830Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:53.7257518Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243
2025-11-03T16:43:53.7258400Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:43:53.7258871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:43:53.7259260Z     return roi_align(
2025-11-03T16:43:53.7259637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:43:53.7260054Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:43:53.7260285Z 
2025-11-03T16:43:53.7260411Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:53.7260929Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 246, in torch_dynamo_resume_in_forward_at_243
2025-11-03T16:43:53.7261448Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:43:53.7261892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:43:53.7262288Z     return roi_align(
2025-11-03T16:43:53.7262696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:43:53.7263116Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:43:53.7263290Z 
2025-11-03T16:43:58.5848196Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:58.5848903Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:43:58.5849426Z     box_features = self.box_head(box_features)
2025-11-03T16:43:58.5849854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:43:58.5850243Z     x = layer(x)
2025-11-03T16:43:58.5850346Z 
2025-11-03T16:43:58.5850883Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:58.5851406Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:43:58.5851876Z     box_features = self.box_head(box_features)
2025-11-03T16:43:58.5852289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:43:58.5852674Z     x = layer(x)
2025-11-03T16:43:58.5852771Z 
2025-11-03T16:43:58.5852894Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:58.5853395Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:43:58.5853866Z     box_features = self.box_head(box_features)
2025-11-03T16:43:58.5854333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:43:58.5854748Z     x = layer(x)
2025-11-03T16:43:58.5854848Z 
2025-11-03T16:43:58.5854972Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:58.5855491Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 799, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:43:58.5856236Z     box_features = self.box_head(box_features)
2025-11-03T16:43:58.5856678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:43:58.5857079Z     x = layer(x)
2025-11-03T16:43:58.5857179Z 
2025-11-03T16:43:58.5857298Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:58.5857801Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:43:58.5858442Z     predictions = self.box_predictor(box_features)
2025-11-03T16:43:58.5858966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:43:58.5859382Z     scores = self.cls_score(x)
2025-11-03T16:43:58.5859512Z 
2025-11-03T16:43:58.5859633Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:58.5860168Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 800, in torch_dynamo_resume_in__forward_box_at_798
2025-11-03T16:43:58.5860693Z     predictions = self.box_predictor(box_features)
2025-11-03T16:43:58.5861186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:43:58.5861610Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:43:58.5861756Z 
2025-11-03T16:44:00.4095703Z cudagraph partition due to non gpu ops
2025-11-03T16:44:00.4099887Z cudagraph partition due to non gpu ops
2025-11-03T16:44:00.4100278Z cudagraph partition due to non gpu ops
2025-11-03T16:44:00.4100531Z cudagraph partition due to non gpu ops
2025-11-03T16:44:00.4100806Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:00.4101320Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:44:00.4101799Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:44:00.4102290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:44:00.4102824Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:44:00.4103313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:44:00.4103698Z     return torch.cat(tensors, dim)
2025-11-03T16:44:00.4103842Z 
2025-11-03T16:44:00.4103961Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:00.4104925Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:44:00.4105434Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:44:00.4105927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:44:00.4106437Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:44:00.4106913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:44:00.4107377Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:44:00.4107551Z 
2025-11-03T16:44:02.7358373Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:02.7358993Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:44:02.7359517Z     max_coordinate = boxes.max()
2025-11-03T16:44:02.7359676Z 
2025-11-03T16:44:02.7359814Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:02.7360299Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:44:02.7360769Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:44:02.7360938Z 
2025-11-03T16:44:03.5014864Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:03.5015695Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:44:03.5016385Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:44:03.5016611Z 
2025-11-03T16:44:03.5016821Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:03.5017465Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:44:03.5018462Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:44:03.5018693Z 
2025-11-03T16:44:03.5018811Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:03.5019391Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:44:03.5020098Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:44:03.5020318Z 
2025-11-03T16:44:08.0802304Z cudagraph partition due to non gpu ops
2025-11-03T16:44:08.0803756Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:08.0805030Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:44:08.0807308Z     output_boxes.clip(results.image_size)
2025-11-03T16:44:08.0807745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:44:08.0808240Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:44:08.0808487Z 
2025-11-03T16:44:08.0808585Z cudagraph partition due to non gpu ops
2025-11-03T16:44:08.0808827Z cudagraph partition due to non gpu ops
2025-11-03T16:44:08.0809097Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:08.0809641Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:44:08.0810112Z     output_boxes.clip(results.image_size)
2025-11-03T16:44:08.0810511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:44:08.0810905Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:44:08.0811465Z 
2025-11-03T16:44:08.0811597Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:08.0812113Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:44:08.0812580Z     results = results[output_boxes.nonempty()]
2025-11-03T16:44:08.0812994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:44:08.0813422Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:44:08.0813596Z 
2025-11-03T16:44:17.3042059Z Compilation time (from dynamo_timed): 40.522576757
2025-11-03T16:44:17.3042378Z pass
2025-11-03T16:44:17.3042731Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:44:17.3043646Z TIMING: gc:0.04744 entire_frame_compile:40.52258 _recursive_pre_grad_passes:0.0302 async_compile.wait:4.69628 backend_compile:24.26853 _recursive_joint_graph_passes:0.67952 _recursive_post_grad_passes:0.13874 code_gen:8.7103 inductor_compile:10.75859 total_wall_time:40.52258
2025-11-03T16:44:17.3044939Z STATS: call_* op count: 610 | FakeTensorMode.__torch_dispatch__:12378 | FakeTensor.__torch_dispatch__:6401 | ProxyTorchDispatchMode.__torch_dispatch__:3094 | attempt fast:49 | slow no contiguity match:20 | fast is_contiguous:29
2025-11-03T16:44:17.3045735Z Dynamo produced 52 graphs covering 610 ops with 42 graph breaks (6 unique)
2025-11-03T16:44:20.4303817Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:44:20.4304823Z   import pynvml  # type: ignore[import]
2025-11-03T16:44:22.7101948Z 
2025-11-03T16:44:27.3780345Z loading model: 0it [00:00, ?it/s]W1103 16:44:27.376000 20146 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:44:28.6057656Z 
2025-11-03T16:44:28.6058642Z loading model: 0it [00:05, ?it/s]
2025-11-03T16:44:28.6074724Z cpu  eval  detectron2_fasterrcnn_r_50_fpn     
2025-11-03T16:44:44.4535510Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_fpn. Setting accuracy check to cosine
2025-11-03T16:44:44.4841271Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:44:52.5862628Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:45:00.5016701Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:45:22.3139806Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3140238Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3140491Z cudagraph partition due to non gpu ops
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2025-11-03T16:45:22.3141962Z cudagraph partition due to non gpu ops
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2025-11-03T16:45:22.3144409Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3144908Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3145156Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3145402Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3145639Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3145955Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3146243Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3146881Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3147421Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3147884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3148351Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3148801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:45:22.3149230Z     x = self.stem(x)
2025-11-03T16:45:22.3149632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:45:22.3150060Z     x = self.conv1(x)
2025-11-03T16:45:22.3150428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3150815Z     x = F.conv2d(
2025-11-03T16:45:22.3150934Z 
2025-11-03T16:45:22.3151056Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3151602Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3152124Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3152572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3153094Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3153535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:45:22.3153956Z     x = self.stem(x)
2025-11-03T16:45:22.3154348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:45:22.3154763Z     x = F.relu_(x)
2025-11-03T16:45:22.3154880Z 
2025-11-03T16:45:22.3154999Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3155626Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3156136Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3156566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3157002Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3157439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:45:22.3157916Z     x = self.stem(x)
2025-11-03T16:45:22.3158308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:45:22.3158790Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:45:22.3158976Z 
2025-11-03T16:45:22.3159097Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3159626Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3160142Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3160635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3161074Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3161505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3161928Z     x = stage(x)
2025-11-03T16:45:22.3162308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3162736Z     out = self.conv1(x)
2025-11-03T16:45:22.3163110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3163508Z     x = F.conv2d(
2025-11-03T16:45:22.3163622Z 
2025-11-03T16:45:22.3163738Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3164273Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3164773Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3165189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3165620Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3166064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3166479Z     x = stage(x)
2025-11-03T16:45:22.3166862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3167278Z     out = F.relu_(out)
2025-11-03T16:45:22.3167402Z 
2025-11-03T16:45:22.3167519Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3168044Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3168557Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3168983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3169443Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3169874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3170291Z     x = stage(x)
2025-11-03T16:45:22.3170665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3171097Z     out = self.conv2(out)
2025-11-03T16:45:22.3171476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3171865Z     x = F.conv2d(
2025-11-03T16:45:22.3171971Z 
2025-11-03T16:45:22.3172109Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3172639Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3173132Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3173556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3173984Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3174413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3174830Z     x = stage(x)
2025-11-03T16:45:22.3175202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3175616Z     out = F.relu_(out)
2025-11-03T16:45:22.3175732Z 
2025-11-03T16:45:22.3175855Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3176422Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3176922Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3177346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3177775Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3178204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3178622Z     x = stage(x)
2025-11-03T16:45:22.3178987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3179406Z     out = self.conv3(out)
2025-11-03T16:45:22.3179780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3180166Z     x = F.conv2d(
2025-11-03T16:45:22.3180271Z 
2025-11-03T16:45:22.3180392Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3180918Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3181419Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3181843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3182265Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3182683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3183093Z     x = stage(x)
2025-11-03T16:45:22.3183468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:45:22.3183886Z     shortcut = self.shortcut(x)
2025-11-03T16:45:22.3184273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3184769Z     x = F.conv2d(
2025-11-03T16:45:22.3184883Z 
2025-11-03T16:45:22.3185001Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3185525Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3186027Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3187743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3188584Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3189056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3189495Z     x = stage(x)
2025-11-03T16:45:22.3189906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3190362Z     out = self.conv1(x)
2025-11-03T16:45:22.3190754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3191147Z     x = F.conv2d(
2025-11-03T16:45:22.3191261Z 
2025-11-03T16:45:22.3191400Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3191952Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3192462Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3192919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3193357Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3193787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3194319Z     x = stage(x)
2025-11-03T16:45:22.3194718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3195136Z     out = F.relu_(out)
2025-11-03T16:45:22.3195283Z 
2025-11-03T16:45:22.3195415Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3195962Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3196469Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3196909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3197342Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3197780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3198198Z     x = stage(x)
2025-11-03T16:45:22.3198580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3199047Z     out = self.conv2(out)
2025-11-03T16:45:22.3199428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3199840Z     x = F.conv2d(
2025-11-03T16:45:22.3199945Z 
2025-11-03T16:45:22.3200064Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3200610Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3201130Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3201565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3201996Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3202436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3202928Z     x = stage(x)
2025-11-03T16:45:22.3203314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3203739Z     out = F.relu_(out)
2025-11-03T16:45:22.3203856Z 
2025-11-03T16:45:22.3203984Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3204507Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3205048Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3205476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3205897Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3206333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3206752Z     x = stage(x)
2025-11-03T16:45:22.3207133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3207563Z     out = self.conv3(out)
2025-11-03T16:45:22.3207944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3208328Z     x = F.conv2d(
2025-11-03T16:45:22.3208442Z 
2025-11-03T16:45:22.3208559Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3209088Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3209597Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3210034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3210518Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3210951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3211360Z     x = stage(x)
2025-11-03T16:45:22.3211735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3212135Z     out = F.relu_(out)
2025-11-03T16:45:22.3212259Z 
2025-11-03T16:45:22.3212373Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3213097Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3213592Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3214032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3214458Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3214885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3215288Z     x = stage(x)
2025-11-03T16:45:22.3215667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3216083Z     out = self.conv1(x)
2025-11-03T16:45:22.3216446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3216862Z     x = F.conv2d(
2025-11-03T16:45:22.3216975Z 
2025-11-03T16:45:22.3217094Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3217619Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3218127Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3218548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3219009Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3219621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3220031Z     x = stage(x)
2025-11-03T16:45:22.3220400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3220823Z     out = F.relu_(out)
2025-11-03T16:45:22.3220988Z 
2025-11-03T16:45:22.3221107Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3221646Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3222155Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3222580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3223007Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3223448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3223854Z     x = stage(x)
2025-11-03T16:45:22.3224230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3224854Z     out = self.conv2(out)
2025-11-03T16:45:22.3225245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3225632Z     x = F.conv2d(
2025-11-03T16:45:22.3225741Z 
2025-11-03T16:45:22.3225864Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3226460Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3226970Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3227396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3227824Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3228253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3228654Z     x = stage(x)
2025-11-03T16:45:22.3229030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3229449Z     out = F.relu_(out)
2025-11-03T16:45:22.3229564Z 
2025-11-03T16:45:22.3229689Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3230213Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3230706Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3231132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3231562Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3231989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3232388Z     x = stage(x)
2025-11-03T16:45:22.3232765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3233183Z     out = self.conv3(out)
2025-11-03T16:45:22.3233561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3233945Z     x = F.conv2d(
2025-11-03T16:45:22.3234051Z 
2025-11-03T16:45:22.3234166Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3234693Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3235247Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3235679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3236118Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3236541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3236984Z     x = stage(x)
2025-11-03T16:45:22.3237373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3237783Z     out = F.relu_(out)
2025-11-03T16:45:22.3237897Z 
2025-11-03T16:45:22.3238019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3238547Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3239048Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3239475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3239904Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3240322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3240734Z     x = stage(x)
2025-11-03T16:45:22.3241101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3241506Z     out = self.conv1(x)
2025-11-03T16:45:22.3241874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3242257Z     x = F.conv2d(
2025-11-03T16:45:22.3242452Z 
2025-11-03T16:45:22.3242570Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3243093Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3243592Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3244000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3244424Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3244852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3245266Z     x = stage(x)
2025-11-03T16:45:22.3245637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3246041Z     out = F.relu_(out)
2025-11-03T16:45:22.3246165Z 
2025-11-03T16:45:22.3246288Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3246811Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3247310Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3247730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3248145Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3248572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3248969Z     x = stage(x)
2025-11-03T16:45:22.3249340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3249744Z     out = self.conv2(out)
2025-11-03T16:45:22.3250118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3250591Z     x = F.conv2d(
2025-11-03T16:45:22.3250695Z 
2025-11-03T16:45:22.3250821Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3251362Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3251856Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3252287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3252746Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3253173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3253614Z     x = stage(x)
2025-11-03T16:45:22.3253966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3254374Z     out = F.relu_(out)
2025-11-03T16:45:22.3254485Z 
2025-11-03T16:45:22.3254610Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3255129Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3255611Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3256039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3256447Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3256859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3257249Z     x = stage(x)
2025-11-03T16:45:22.3257649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3258052Z     out = self.conv3(out)
2025-11-03T16:45:22.3258410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3258803Z     x = F.conv2d(
2025-11-03T16:45:22.3258906Z 
2025-11-03T16:45:22.3259030Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3259544Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3260041Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3260456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3260884Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3261300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3261708Z     x = stage(x)
2025-11-03T16:45:22.3262074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:45:22.3262486Z     shortcut = self.shortcut(x)
2025-11-03T16:45:22.3262864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3263244Z     x = F.conv2d(
2025-11-03T16:45:22.3263353Z 
2025-11-03T16:45:22.3263470Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3263988Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3264491Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3265010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3265437Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3265905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3266305Z     x = stage(x)
2025-11-03T16:45:22.3266680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3267066Z     out = self.conv1(x)
2025-11-03T16:45:22.3267420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3267793Z     x = F.conv2d(
2025-11-03T16:45:22.3267922Z 
2025-11-03T16:45:22.3268044Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3268556Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3269035Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3269445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3269853Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3270270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3270665Z     x = stage(x)
2025-11-03T16:45:22.3271017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3271410Z     out = F.relu_(out)
2025-11-03T16:45:22.3271520Z 
2025-11-03T16:45:22.3271660Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3272162Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3272632Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3273099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3273511Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3273923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3274310Z     x = stage(x)
2025-11-03T16:45:22.3274664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3275066Z     out = self.conv2(out)
2025-11-03T16:45:22.3275425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3275797Z     x = F.conv2d(
2025-11-03T16:45:22.3275898Z 
2025-11-03T16:45:22.3276024Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3276540Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3277047Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3277457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3277869Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3278270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3278659Z     x = stage(x)
2025-11-03T16:45:22.3279016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3279411Z     out = F.relu_(out)
2025-11-03T16:45:22.3279519Z 
2025-11-03T16:45:22.3279637Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3280132Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3280609Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3281047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3281449Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3281855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3282234Z     x = stage(x)
2025-11-03T16:45:22.3282588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3283009Z     out = self.conv3(out)
2025-11-03T16:45:22.3283364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3283735Z     x = F.conv2d(
2025-11-03T16:45:22.3283841Z 
2025-11-03T16:45:22.3283952Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3284459Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3284949Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3285368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3285783Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3286565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3286973Z     x = stage(x)
2025-11-03T16:45:22.3287341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3287741Z     out = F.relu_(out)
2025-11-03T16:45:22.3287853Z 
2025-11-03T16:45:22.3287971Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3288595Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3289098Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3289520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3289941Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3290363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3290769Z     x = stage(x)
2025-11-03T16:45:22.3291150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3291561Z     out = self.conv1(x)
2025-11-03T16:45:22.3291921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3292317Z     x = F.conv2d(
2025-11-03T16:45:22.3292427Z 
2025-11-03T16:45:22.3292546Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3293066Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3293563Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3293981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3294398Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3294825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3295229Z     x = stage(x)
2025-11-03T16:45:22.3295590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3295999Z     out = F.relu_(out)
2025-11-03T16:45:22.3296116Z 
2025-11-03T16:45:22.3296236Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3296799Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3297295Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3297708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3298133Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3298552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3298986Z     x = stage(x)
2025-11-03T16:45:22.3299350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3299748Z     out = self.conv2(out)
2025-11-03T16:45:22.3300117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3300498Z     x = F.conv2d(
2025-11-03T16:45:22.3300599Z 
2025-11-03T16:45:22.3300720Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3301233Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3301715Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3302122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3302533Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3302950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3303349Z     x = stage(x)
2025-11-03T16:45:22.3303777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3304184Z     out = F.relu_(out)
2025-11-03T16:45:22.3304295Z 
2025-11-03T16:45:22.3304416Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3305029Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3305520Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3305939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3306353Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3306768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3307161Z     x = stage(x)
2025-11-03T16:45:22.3307538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3307953Z     out = self.conv3(out)
2025-11-03T16:45:22.3308326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3308709Z     x = F.conv2d(
2025-11-03T16:45:22.3308812Z 
2025-11-03T16:45:22.3308927Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3309448Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3309943Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3310362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3310780Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3311190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3311588Z     x = stage(x)
2025-11-03T16:45:22.3311957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3312399Z     out = F.relu_(out)
2025-11-03T16:45:22.3312510Z 
2025-11-03T16:45:22.3312625Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3313143Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3313640Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3314088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3314509Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3314926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3315331Z     x = stage(x)
2025-11-03T16:45:22.3315705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3316111Z     out = self.conv1(x)
2025-11-03T16:45:22.3316472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3316846Z     x = F.conv2d(
2025-11-03T16:45:22.3316953Z 
2025-11-03T16:45:22.3317068Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3317588Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3318085Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3318490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3318910Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3319374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3319777Z     x = stage(x)
2025-11-03T16:45:22.3320148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3320541Z     out = F.relu_(out)
2025-11-03T16:45:22.3320658Z 
2025-11-03T16:45:22.3320771Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3321288Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3321784Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3322200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3322618Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3323043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3323447Z     x = stage(x)
2025-11-03T16:45:22.3323816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3324217Z     out = self.conv2(out)
2025-11-03T16:45:22.3324583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3324970Z     x = F.conv2d(
2025-11-03T16:45:22.3325074Z 
2025-11-03T16:45:22.3325196Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3325717Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3326197Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3326612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3327037Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3327511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3327916Z     x = stage(x)
2025-11-03T16:45:22.3328283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3328694Z     out = F.relu_(out)
2025-11-03T16:45:22.3328813Z 
2025-11-03T16:45:22.3328931Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3329497Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3329992Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3330412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3330846Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3331274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3331681Z     x = stage(x)
2025-11-03T16:45:22.3332048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3332459Z     out = self.conv3(out)
2025-11-03T16:45:22.3332844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3333298Z     x = F.conv2d(
2025-11-03T16:45:22.3333421Z 
2025-11-03T16:45:22.3333547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3334068Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3334558Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3335026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3335456Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3335881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3336284Z     x = stage(x)
2025-11-03T16:45:22.3336645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3337054Z     out = F.relu_(out)
2025-11-03T16:45:22.3337167Z 
2025-11-03T16:45:22.3337292Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3337814Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3338306Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3338732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3339156Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3339577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3339991Z     x = stage(x)
2025-11-03T16:45:22.3340362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3340774Z     out = self.conv1(x)
2025-11-03T16:45:22.3341141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3341528Z     x = F.conv2d(
2025-11-03T16:45:22.3341636Z 
2025-11-03T16:45:22.3341752Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3342286Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3342831Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3343251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3343688Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3344116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3344535Z     x = stage(x)
2025-11-03T16:45:22.3345020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3345472Z     out = F.relu_(out)
2025-11-03T16:45:22.3345595Z 
2025-11-03T16:45:22.3345710Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3346243Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3346788Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3347216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3347642Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3348066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3348475Z     x = stage(x)
2025-11-03T16:45:22.3348844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3349259Z     out = self.conv2(out)
2025-11-03T16:45:22.3349632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3350015Z     x = F.conv2d(
2025-11-03T16:45:22.3350119Z 
2025-11-03T16:45:22.3350250Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3350822Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3351321Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3351739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3352157Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3352583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3352990Z     x = stage(x)
2025-11-03T16:45:22.3353353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3353760Z     out = F.relu_(out)
2025-11-03T16:45:22.3353880Z 
2025-11-03T16:45:22.3353994Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3354525Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3355011Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3355431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3355855Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3356279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3356689Z     x = stage(x)
2025-11-03T16:45:22.3357055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3357476Z     out = self.conv3(out)
2025-11-03T16:45:22.3357842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3358224Z     x = F.conv2d(
2025-11-03T16:45:22.3358330Z 
2025-11-03T16:45:22.3358497Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3359011Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3359512Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3359936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3360365Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3360834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3361242Z     x = stage(x)
2025-11-03T16:45:22.3361611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:45:22.3362034Z     shortcut = self.shortcut(x)
2025-11-03T16:45:22.3362425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3362800Z     x = F.conv2d(
2025-11-03T16:45:22.3362914Z 
2025-11-03T16:45:22.3363031Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3363565Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3364087Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3364502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3364910Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3365324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3365722Z     x = stage(x)
2025-11-03T16:45:22.3366133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3366526Z     out = self.conv1(x)
2025-11-03T16:45:22.3366884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3367261Z     x = F.conv2d(
2025-11-03T16:45:22.3367363Z 
2025-11-03T16:45:22.3367486Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3367991Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3368466Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3368873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3369278Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3369701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3370115Z     x = stage(x)
2025-11-03T16:45:22.3370478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3370889Z     out = F.relu_(out)
2025-11-03T16:45:22.3371006Z 
2025-11-03T16:45:22.3371131Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3371653Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3372150Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3372579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3373009Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3373434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3373854Z     x = stage(x)
2025-11-03T16:45:22.3374270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3374690Z     out = self.conv2(out)
2025-11-03T16:45:22.3375056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3375447Z     x = F.conv2d(
2025-11-03T16:45:22.3375550Z 
2025-11-03T16:45:22.3375675Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3376195Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3376727Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3377147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3377573Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3377992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3378394Z     x = stage(x)
2025-11-03T16:45:22.3378765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3379180Z     out = F.relu_(out)
2025-11-03T16:45:22.3379292Z 
2025-11-03T16:45:22.3379416Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3379932Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3380435Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3380861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3381291Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3381763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3382166Z     x = stage(x)
2025-11-03T16:45:22.3382536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3382949Z     out = self.conv3(out)
2025-11-03T16:45:22.3383319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3383703Z     x = F.conv2d(
2025-11-03T16:45:22.3383816Z 
2025-11-03T16:45:22.3383931Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3384455Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3385077Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3385511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3385927Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3386601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3387020Z     x = stage(x)
2025-11-03T16:45:22.3387396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3387805Z     out = F.relu_(out)
2025-11-03T16:45:22.3387920Z 
2025-11-03T16:45:22.3388040Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3388566Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3389064Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3389487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3389981Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3390403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3390804Z     x = stage(x)
2025-11-03T16:45:22.3391177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3391586Z     out = self.conv1(x)
2025-11-03T16:45:22.3391942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3392362Z     x = F.conv2d(
2025-11-03T16:45:22.3392470Z 
2025-11-03T16:45:22.3392584Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3393103Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3393596Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3394007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3394423Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3394846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3395247Z     x = stage(x)
2025-11-03T16:45:22.3395608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3396019Z     out = F.relu_(out)
2025-11-03T16:45:22.3396139Z 
2025-11-03T16:45:22.3396253Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3396769Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3397406Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3397822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3398243Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3398668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3399072Z     x = stage(x)
2025-11-03T16:45:22.3399442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3399849Z     out = self.conv2(out)
2025-11-03T16:45:22.3400218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3400606Z     x = F.conv2d(
2025-11-03T16:45:22.3400708Z 
2025-11-03T16:45:22.3400828Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3401344Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3401843Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3402257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3402736Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3403166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3403565Z     x = stage(x)
2025-11-03T16:45:22.3403946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3404358Z     out = F.relu_(out)
2025-11-03T16:45:22.3404470Z 
2025-11-03T16:45:22.3404593Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3405123Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3405648Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3406063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3406489Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3406908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3407302Z     x = stage(x)
2025-11-03T16:45:22.3407694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3408106Z     out = self.conv3(out)
2025-11-03T16:45:22.3408472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3408857Z     x = F.conv2d(
2025-11-03T16:45:22.3408958Z 
2025-11-03T16:45:22.3409076Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3409599Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3410088Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3410504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3410917Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3411327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3411727Z     x = stage(x)
2025-11-03T16:45:22.3412100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3412504Z     out = F.relu_(out)
2025-11-03T16:45:22.3412617Z 
2025-11-03T16:45:22.3412773Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3413299Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3413796Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3414217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3414639Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3415052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3415460Z     x = stage(x)
2025-11-03T16:45:22.3415841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3416249Z     out = self.conv1(x)
2025-11-03T16:45:22.3416614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3416991Z     x = F.conv2d(
2025-11-03T16:45:22.3417102Z 
2025-11-03T16:45:22.3417218Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3417742Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3418237Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3418650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3419071Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3419492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3419892Z     x = stage(x)
2025-11-03T16:45:22.3420265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3420666Z     out = F.relu_(out)
2025-11-03T16:45:22.3420830Z 
2025-11-03T16:45:22.3420945Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3421467Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3421966Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3422384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3422811Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3423255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3423658Z     x = stage(x)
2025-11-03T16:45:22.3424030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3424433Z     out = self.conv2(out)
2025-11-03T16:45:22.3424877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3425265Z     x = F.conv2d(
2025-11-03T16:45:22.3425368Z 
2025-11-03T16:45:22.3425495Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3426014Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3426499Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3426921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3427344Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3427767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3428169Z     x = stage(x)
2025-11-03T16:45:22.3428576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3428987Z     out = F.relu_(out)
2025-11-03T16:45:22.3429110Z 
2025-11-03T16:45:22.3429226Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3429744Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3430230Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3430649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3431079Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3431500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3431907Z     x = stage(x)
2025-11-03T16:45:22.3432271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3432688Z     out = self.conv3(out)
2025-11-03T16:45:22.3433046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3433428Z     x = F.conv2d(
2025-11-03T16:45:22.3433526Z 
2025-11-03T16:45:22.3433648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3434157Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3434663Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3435086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3435513Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3435927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3436372Z     x = stage(x)
2025-11-03T16:45:22.3436732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3437125Z     out = F.relu_(out)
2025-11-03T16:45:22.3437237Z 
2025-11-03T16:45:22.3437356Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3437851Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3438375Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3438804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3439235Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3439662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3440056Z     x = stage(x)
2025-11-03T16:45:22.3440425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3440830Z     out = self.conv1(x)
2025-11-03T16:45:22.3441198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3441567Z     x = F.conv2d(
2025-11-03T16:45:22.3441675Z 
2025-11-03T16:45:22.3441789Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3442320Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3442797Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3443197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3443690Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3444112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3444513Z     x = stage(x)
2025-11-03T16:45:22.3444884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3445289Z     out = F.relu_(out)
2025-11-03T16:45:22.3445396Z 
2025-11-03T16:45:22.3445507Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3446008Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3446488Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3446891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3447295Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3447701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3448090Z     x = stage(x)
2025-11-03T16:45:22.3448450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3448851Z     out = self.conv2(out)
2025-11-03T16:45:22.3449209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3449598Z     x = F.conv2d(
2025-11-03T16:45:22.3449710Z 
2025-11-03T16:45:22.3449826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3450346Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3450839Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3451250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3451693Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3452108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3452510Z     x = stage(x)
2025-11-03T16:45:22.3452871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3453274Z     out = F.relu_(out)
2025-11-03T16:45:22.3453391Z 
2025-11-03T16:45:22.3453534Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3454053Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3454543Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3454955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3455377Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3455799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3456200Z     x = stage(x)
2025-11-03T16:45:22.3456567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3456964Z     out = self.conv3(out)
2025-11-03T16:45:22.3457337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3457717Z     x = F.conv2d(
2025-11-03T16:45:22.3457818Z 
2025-11-03T16:45:22.3457942Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3458448Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3458977Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3459399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3459819Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3460241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3460636Z     x = stage(x)
2025-11-03T16:45:22.3461004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3461415Z     out = F.relu_(out)
2025-11-03T16:45:22.3461525Z 
2025-11-03T16:45:22.3461648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3462172Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3462660Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3463077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3463501Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3463919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3464313Z     x = stage(x)
2025-11-03T16:45:22.3464780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3465201Z     out = self.conv1(x)
2025-11-03T16:45:22.3465566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3465962Z     x = F.conv2d(
2025-11-03T16:45:22.3466067Z 
2025-11-03T16:45:22.3466182Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3466713Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3467257Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3467664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3468082Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3468486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3468904Z     x = stage(x)
2025-11-03T16:45:22.3469265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3469657Z     out = F.relu_(out)
2025-11-03T16:45:22.3469766Z 
2025-11-03T16:45:22.3469877Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3470389Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3470876Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3471280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3471689Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3472092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3472483Z     x = stage(x)
2025-11-03T16:45:22.3472843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3473244Z     out = self.conv2(out)
2025-11-03T16:45:22.3473604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3473974Z     x = F.conv2d(
2025-11-03T16:45:22.3474079Z 
2025-11-03T16:45:22.3474258Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3474785Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3475288Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3475713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3476149Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3476577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3476992Z     x = stage(x)
2025-11-03T16:45:22.3477463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3477869Z     out = F.relu_(out)
2025-11-03T16:45:22.3477989Z 
2025-11-03T16:45:22.3478109Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3478630Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3479121Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3479542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3479958Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3480376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3480773Z     x = stage(x)
2025-11-03T16:45:22.3481139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3481540Z     out = self.conv3(out)
2025-11-03T16:45:22.3481912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3482334Z     x = F.conv2d(
2025-11-03T16:45:22.3482436Z 
2025-11-03T16:45:22.3482560Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3483084Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3483584Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3483994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3484432Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3484848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3485244Z     x = stage(x)
2025-11-03T16:45:22.3485612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3486026Z     out = F.relu_(out)
2025-11-03T16:45:22.3486422Z 
2025-11-03T16:45:22.3486547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3487072Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3487563Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3487981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3488406Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3488830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3489234Z     x = stage(x)
2025-11-03T16:45:22.3489598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3490088Z     out = self.conv1(x)
2025-11-03T16:45:22.3490462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3490880Z     x = F.conv2d(
2025-11-03T16:45:22.3490986Z 
2025-11-03T16:45:22.3491115Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3491635Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3492141Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3492572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3493003Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3493422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3493852Z     x = stage(x)
2025-11-03T16:45:22.3494233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3494647Z     out = F.relu_(out)
2025-11-03T16:45:22.3494764Z 
2025-11-03T16:45:22.3494888Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3495408Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3495909Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3496334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3496765Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3497197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3497603Z     x = stage(x)
2025-11-03T16:45:22.3497982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3498435Z     out = self.conv2(out)
2025-11-03T16:45:22.3498801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3499173Z     x = F.conv2d(
2025-11-03T16:45:22.3499283Z 
2025-11-03T16:45:22.3499396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3499914Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3500450Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3500866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3501274Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3501697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3502101Z     x = stage(x)
2025-11-03T16:45:22.3502468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3502873Z     out = F.relu_(out)
2025-11-03T16:45:22.3502987Z 
2025-11-03T16:45:22.3503103Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3503620Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3504117Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3504536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3505018Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3505488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3505899Z     x = stage(x)
2025-11-03T16:45:22.3506276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3506688Z     out = self.conv3(out)
2025-11-03T16:45:22.3507051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3507495Z     x = F.conv2d(
2025-11-03T16:45:22.3507605Z 
2025-11-03T16:45:22.3507724Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3508255Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3508756Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3509165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3509591Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3510014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3510414Z     x = stage(x)
2025-11-03T16:45:22.3510773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:45:22.3511195Z     shortcut = self.shortcut(x)
2025-11-03T16:45:22.3511576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3511961Z     x = F.conv2d(
2025-11-03T16:45:22.3512064Z 
2025-11-03T16:45:22.3512186Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3512701Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3513198Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3513621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3514070Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3514492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3514886Z     x = stage(x)
2025-11-03T16:45:22.3515258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3515687Z     out = self.conv1(x)
2025-11-03T16:45:22.3516045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3516414Z     x = F.conv2d(
2025-11-03T16:45:22.3516521Z 
2025-11-03T16:45:22.3516633Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3517153Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3517650Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3518063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3518470Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3518888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3519290Z     x = stage(x)
2025-11-03T16:45:22.3519659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3520062Z     out = F.relu_(out)
2025-11-03T16:45:22.3520175Z 
2025-11-03T16:45:22.3520287Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3520842Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3521342Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3521756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3522167Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3522586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3522987Z     x = stage(x)
2025-11-03T16:45:22.3523357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3523767Z     out = self.conv2(out)
2025-11-03T16:45:22.3524130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3524525Z     x = F.conv2d(
2025-11-03T16:45:22.3524633Z 
2025-11-03T16:45:22.3524751Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3525275Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3525768Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3526177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3526593Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3527012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3527413Z     x = stage(x)
2025-11-03T16:45:22.3527774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3528177Z     out = F.relu_(out)
2025-11-03T16:45:22.3528295Z 
2025-11-03T16:45:22.3528410Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3528931Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3529458Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3529868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3530296Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3530717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3531139Z     x = stage(x)
2025-11-03T16:45:22.3531505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3531900Z     out = self.conv3(out)
2025-11-03T16:45:22.3532266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3532655Z     x = F.conv2d(
2025-11-03T16:45:22.3532759Z 
2025-11-03T16:45:22.3532879Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3533386Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3533879Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3534294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3534711Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3535129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3535519Z     x = stage(x)
2025-11-03T16:45:22.3535889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3536343Z     out = F.relu_(out)
2025-11-03T16:45:22.3536459Z 
2025-11-03T16:45:22.3536581Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3537103Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3537587Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3538005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3538426Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3538843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3539233Z     x = stage(x)
2025-11-03T16:45:22.3539596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:45:22.3539998Z     out = self.conv1(x)
2025-11-03T16:45:22.3540361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3540748Z     x = F.conv2d(
2025-11-03T16:45:22.3540850Z 
2025-11-03T16:45:22.3540965Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3541478Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3541970Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3542387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3542816Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3543226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3543628Z     x = stage(x)
2025-11-03T16:45:22.3544001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:45:22.3544431Z     out = F.relu_(out)
2025-11-03T16:45:22.3544542Z 
2025-11-03T16:45:22.3544738Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3545273Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3545770Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3546189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3546643Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3547057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3547469Z     x = stage(x)
2025-11-03T16:45:22.3547842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:45:22.3548248Z     out = self.conv2(out)
2025-11-03T16:45:22.3548614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3548994Z     x = F.conv2d(
2025-11-03T16:45:22.3549102Z 
2025-11-03T16:45:22.3549218Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3549734Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3550225Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3550635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3551065Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3551530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3551933Z     x = stage(x)
2025-11-03T16:45:22.3552298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:45:22.3552703Z     out = F.relu_(out)
2025-11-03T16:45:22.3552821Z 
2025-11-03T16:45:22.3552936Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3553454Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3553944Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3554359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3554776Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3555190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3555592Z     x = stage(x)
2025-11-03T16:45:22.3555950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:45:22.3556335Z     out = self.conv3(out)
2025-11-03T16:45:22.3556692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3557066Z     x = F.conv2d(
2025-11-03T16:45:22.3557166Z 
2025-11-03T16:45:22.3557287Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3557804Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3558289Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3558709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:45:22.3559112Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:45:22.3559552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:45:22.3559946Z     x = stage(x)
2025-11-03T16:45:22.3560307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:45:22.3560710Z     out = F.relu_(out)
2025-11-03T16:45:22.3560822Z 
2025-11-03T16:45:22.3560945Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3561456Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3561954Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3562364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward
2025-11-03T16:45:22.3562878Z     prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]])
2025-11-03T16:45:22.3563365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3563749Z     x = F.conv2d(
2025-11-03T16:45:22.3563849Z 
2025-11-03T16:45:22.3563941Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3564202Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3564705Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3565186Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3565601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 142, in forward
2025-11-03T16:45:22.3566036Z     results.append(self.output_convs[0](prev_features))
2025-11-03T16:45:22.3566448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3566859Z     x = F.conv2d(
2025-11-03T16:45:22.3566963Z 
2025-11-03T16:45:22.3567085Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3567587Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3568058Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3568464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:45:22.3568885Z     lateral_features = lateral_conv(features)
2025-11-03T16:45:22.3569283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3569653Z     x = F.conv2d(
2025-11-03T16:45:22.3569762Z 
2025-11-03T16:45:22.3569873Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3570379Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3570861Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3571263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:45:22.3571676Z     lateral_features = lateral_conv(features)
2025-11-03T16:45:22.3572074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3572457Z     x = F.conv2d(
2025-11-03T16:45:22.3572560Z 
2025-11-03T16:45:22.3572684Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3573202Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3573682Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3574091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:45:22.3574521Z     lateral_features = lateral_conv(features)
2025-11-03T16:45:22.3574912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3575279Z     x = F.conv2d(
2025-11-03T16:45:22.3575383Z 
2025-11-03T16:45:22.3575498Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3576017Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3576537Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3576953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:45:22.3577393Z     prev_features = lateral_features + top_down_features
2025-11-03T16:45:22.3577579Z 
2025-11-03T16:45:22.3577696Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3578217Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3578711Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3579127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:45:22.3579569Z     prev_features = lateral_features + top_down_features
2025-11-03T16:45:22.3579754Z 
2025-11-03T16:45:22.3579868Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3580394Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3580891Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3581356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:45:22.3581797Z     prev_features = lateral_features + top_down_features
2025-11-03T16:45:22.3581978Z 
2025-11-03T16:45:22.3582072Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3582320Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3582560Z cudagraph partition due to non gpu ops
2025-11-03T16:45:22.3582814Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3583329Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3583821Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3584236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 165, in forward
2025-11-03T16:45:22.3584771Z     results.extend(self.top_block(top_block_in_feature))
2025-11-03T16:45:22.3585225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 200, in forward
2025-11-03T16:45:22.3585700Z     return [F.max_pool2d(x, kernel_size=1, stride=2, padding=0)]
2025-11-03T16:45:22.3585907Z 
2025-11-03T16:45:22.3586025Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3586753Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3587253Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3587661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:45:22.3588109Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:45:22.3588534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3588926Z     x = F.conv2d(
2025-11-03T16:45:22.3589028Z 
2025-11-03T16:45:22.3589154Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3589740Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3590243Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3590662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:45:22.3591105Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:45:22.3591521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3591950Z     x = F.conv2d(
2025-11-03T16:45:22.3592061Z 
2025-11-03T16:45:22.3592174Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:22.3592692Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:45:22.3593188Z     features = self.backbone(images.tensor)
2025-11-03T16:45:22.3593598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:45:22.3594035Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:45:22.3594447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:45:22.3594838Z     x = F.conv2d(
2025-11-03T16:45:22.3594941Z 
2025-11-03T16:45:32.2611524Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:32.2612200Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:45:32.2612699Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:45:32.2612899Z 
2025-11-03T16:45:36.3428151Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:36.3429131Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:45:36.3429585Z     return roi_align(
2025-11-03T16:45:36.3429976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:45:36.3430403Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:45:36.3430578Z 
2025-11-03T16:45:36.3430700Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:36.3431202Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:45:36.3431639Z     return roi_align(
2025-11-03T16:45:36.3432015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:45:36.3432503Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:45:36.3432674Z 
2025-11-03T16:45:42.6879306Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:42.6880103Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:45:42.6880776Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:45:42.6881008Z 
2025-11-03T16:45:42.6881139Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:42.6881742Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:45:42.6882384Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:45:42.6882612Z 
2025-11-03T16:45:42.6882731Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:42.6883381Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 165, in torch_dynamo_resume_in_fast_rcnn_inference_single_image_at_162
2025-11-03T16:45:42.6884004Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:45:42.6884563Z 
2025-11-03T16:45:47.1462039Z cudagraph partition due to non gpu ops
2025-11-03T16:45:47.1462523Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:47.1463316Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:45:47.1463834Z     output_boxes.clip(results.image_size)
2025-11-03T16:45:47.1464272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:45:47.1465411Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:45:47.1465667Z 
2025-11-03T16:45:47.1465773Z cudagraph partition due to non gpu ops
2025-11-03T16:45:47.1466023Z cudagraph partition due to non gpu ops
2025-11-03T16:45:47.1466308Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:47.1466844Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:45:47.1467342Z     output_boxes.clip(results.image_size)
2025-11-03T16:45:47.1467763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:45:47.1468195Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:45:47.1468982Z 
2025-11-03T16:45:47.1469119Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:47.1477353Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:45:47.1477931Z     results = results[output_boxes.nonempty()]
2025-11-03T16:45:47.1478377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:45:47.1478842Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:45:47.1479335Z 
2025-11-03T16:45:53.6061389Z Compilation time (from dynamo_timed): 46.931034746
2025-11-03T16:45:53.6062283Z pass
2025-11-03T16:45:53.6062765Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:45:53.6063657Z TIMING: gc:0.05983 entire_frame_compile:46.93103 _recursive_pre_grad_passes:0.03758 async_compile.wait:2.6136 backend_compile:22.76691 _recursive_joint_graph_passes:0.20563 _recursive_post_grad_passes:0.12932 code_gen:6.4274 inductor_compile:9.10882 total_wall_time:46.93103
2025-11-03T16:45:53.6064943Z STATS: call_* op count: 986 | FakeTensorMode.__torch_dispatch__:16043 | FakeTensor.__torch_dispatch__:6356 | ProxyTorchDispatchMode.__torch_dispatch__:3038 | attempt fast:100 | slow no contiguity match:36 | fast is_contiguous:64
2025-11-03T16:45:53.6065679Z Dynamo produced 61 graphs covering 986 ops with 46 graph breaks (6 unique)
2025-11-03T16:45:57.1059603Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:45:57.1060664Z   import pynvml  # type: ignore[import]
2025-11-03T16:45:59.4376363Z 
2025-11-03T16:46:04.4690114Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:46:04.4696381Z loading model: 0it [00:05, ?it/s]
2025-11-03T16:46:04.4703018Z cpu  eval  detectron2_fcos_r_50_fpn           
2025-11-03T16:46:21.4387117Z WARNING:common:fp64 golden ref were not generated for detectron2_fcos_r_50_fpn. Setting accuracy check to cosine
2025-11-03T16:46:21.4441446Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:46:26.6886589Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:46:31.8147823Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:46:34.0352895Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:34.0353553Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image
2025-11-03T16:46:34.0354218Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:46:34.0354754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in <listcomp>
2025-11-03T16:46:34.0355281Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:46:34.0355885Z 
2025-11-03T16:46:34.0356020Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:34.0356551Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image
2025-11-03T16:46:34.0357136Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:46:34.0357755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in <listcomp>
2025-11-03T16:46:34.0358275Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:46:34.0358467Z 
2025-11-03T16:46:34.0358595Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:34.0359112Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image
2025-11-03T16:46:34.0359639Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:46:34.0360134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in <listcomp>
2025-11-03T16:46:34.0360650Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:46:34.0360847Z 
2025-11-03T16:46:34.0361090Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:34.0361594Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image
2025-11-03T16:46:34.0362109Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:46:34.0362604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in <listcomp>
2025-11-03T16:46:34.0363094Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:46:34.0363281Z 
2025-11-03T16:46:42.4688949Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:42.4689538Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:46:42.4690051Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:46:42.4690592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:46:42.4691103Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:46:42.4691681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:46:42.4692138Z     return torch.as_tensor(x, device=device)
2025-11-03T16:46:42.4692312Z 
2025-11-03T16:46:42.4692436Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:42.4692917Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:46:42.4693410Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:46:42.4693886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:46:42.4694452Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:46:42.4694937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:46:42.4695877Z     return torch.as_tensor(x, device=device)
2025-11-03T16:46:42.4696041Z 
2025-11-03T16:46:42.4696167Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:42.4696638Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:46:42.4697148Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:46:42.4697674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:46:42.4698196Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:46:42.4698651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:46:42.4699092Z     return torch.as_tensor(x, device=device)
2025-11-03T16:46:42.4699256Z 
2025-11-03T16:46:42.4699378Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:42.4699841Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:46:42.4700326Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:46:42.4700779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:46:42.4701252Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:46:42.4701713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:46:42.4702153Z     return torch.as_tensor(x, device=device)
2025-11-03T16:46:42.4702308Z 
2025-11-03T16:46:42.4702431Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:42.4702994Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors
2025-11-03T16:46:42.4703472Z     max_size = torch.stack(image_sizes_tensor).max(0).values
2025-11-03T16:46:42.4703661Z 
2025-11-03T16:46:42.4703776Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:42.4704229Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 101, in from_tensors
2025-11-03T16:46:42.4704887Z     max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride
2025-11-03T16:46:42.4705137Z 
2025-11-03T16:46:43.2274941Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6460106Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6460474Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6460720Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6460963Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6461203Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6461503Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6461758Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6461998Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6462236Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6462465Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6462707Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6462944Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6463180Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6463415Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6463659Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6463902Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6464129Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6464352Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6464581Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6465050Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6465295Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6465858Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6466080Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6466309Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6466538Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6466770Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6466993Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6467222Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6471323Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6472297Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6472857Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6473323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6473785Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6474252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:46:59.6474691Z     x = self.stem(x)
2025-11-03T16:46:59.6475109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:46:59.6475532Z     x = self.conv1(x)
2025-11-03T16:46:59.6475915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6476323Z     x = F.conv2d(
2025-11-03T16:46:59.6476446Z 
2025-11-03T16:46:59.6476575Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6477157Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6477704Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6478264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6478708Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6479154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:46:59.6479575Z     x = self.stem(x)
2025-11-03T16:46:59.6480017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:46:59.6480431Z     x = F.relu_(x)
2025-11-03T16:46:59.6480555Z 
2025-11-03T16:46:59.6480675Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6481246Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6481788Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6482215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6482653Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6483076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:46:59.6483498Z     x = self.stem(x)
2025-11-03T16:46:59.6483888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:46:59.6484368Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:46:59.6484563Z 
2025-11-03T16:46:59.6484682Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6485242Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6485773Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6486574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6487124Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6487567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6487999Z     x = stage(x)
2025-11-03T16:46:59.6488383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6488819Z     out = self.conv1(x)
2025-11-03T16:46:59.6489252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6489645Z     x = F.conv2d(
2025-11-03T16:46:59.6489760Z 
2025-11-03T16:46:59.6489881Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6490444Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6490983Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6491406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6491833Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6492253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6492662Z     x = stage(x)
2025-11-03T16:46:59.6493035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6493454Z     out = F.relu_(out)
2025-11-03T16:46:59.6493580Z 
2025-11-03T16:46:59.6493697Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6494316Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6494846Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6495266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6495696Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6496128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6496539Z     x = stage(x)
2025-11-03T16:46:59.6496927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6497345Z     out = self.conv2(out)
2025-11-03T16:46:59.6497726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6498118Z     x = F.conv2d(
2025-11-03T16:46:59.6498222Z 
2025-11-03T16:46:59.6498350Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6498891Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6499416Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6499837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6500264Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6500689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6501102Z     x = stage(x)
2025-11-03T16:46:59.6501483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6501887Z     out = F.relu_(out)
2025-11-03T16:46:59.6502002Z 
2025-11-03T16:46:59.6502141Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6502697Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6503297Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6503722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6504158Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6504587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6505293Z     x = stage(x)
2025-11-03T16:46:59.6505665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6506082Z     out = self.conv3(out)
2025-11-03T16:46:59.6506457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6506859Z     x = F.conv2d(
2025-11-03T16:46:59.6506962Z 
2025-11-03T16:46:59.6507079Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6507631Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6508156Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6508604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6509033Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6509468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6509880Z     x = stage(x)
2025-11-03T16:46:59.6510253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:46:59.6510736Z     shortcut = self.shortcut(x)
2025-11-03T16:46:59.6511123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6511519Z     x = F.conv2d(
2025-11-03T16:46:59.6511630Z 
2025-11-03T16:46:59.6511750Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6512296Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6512820Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6513240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6513678Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6514094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6514502Z     x = stage(x)
2025-11-03T16:46:59.6514880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6515293Z     out = self.conv1(x)
2025-11-03T16:46:59.6515663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6516036Z     x = F.conv2d(
2025-11-03T16:46:59.6516146Z 
2025-11-03T16:46:59.6516260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6516798Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6517323Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6517733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6518158Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6518580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6519024Z     x = stage(x)
2025-11-03T16:46:59.6519404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6519806Z     out = F.relu_(out)
2025-11-03T16:46:59.6519930Z 
2025-11-03T16:46:59.6520044Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6520586Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6521127Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6521556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6521975Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6522408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6522813Z     x = stage(x)
2025-11-03T16:46:59.6523186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6523594Z     out = self.conv2(out)
2025-11-03T16:46:59.6523964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6524350Z     x = F.conv2d(
2025-11-03T16:46:59.6524453Z 
2025-11-03T16:46:59.6524576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6525118Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6525638Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6526793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6527225Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6527662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6528065Z     x = stage(x)
2025-11-03T16:46:59.6528430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6528846Z     out = F.relu_(out)
2025-11-03T16:46:59.6528967Z 
2025-11-03T16:46:59.6529083Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6529630Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6530140Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6530553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6530976Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6531395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6531801Z     x = stage(x)
2025-11-03T16:46:59.6532163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6532571Z     out = self.conv3(out)
2025-11-03T16:46:59.6532936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6533320Z     x = F.conv2d(
2025-11-03T16:46:59.6533424Z 
2025-11-03T16:46:59.6533545Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6534074Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6534587Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6535032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6535451Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6535869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6536264Z     x = stage(x)
2025-11-03T16:46:59.6536635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6537070Z     out = F.relu_(out)
2025-11-03T16:46:59.6537187Z 
2025-11-03T16:46:59.6537593Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6538144Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6538655Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6539083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6539503Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6539930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6540323Z     x = stage(x)
2025-11-03T16:46:59.6540694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6541107Z     out = self.conv1(x)
2025-11-03T16:46:59.6541476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6541861Z     x = F.conv2d(
2025-11-03T16:46:59.6541964Z 
2025-11-03T16:46:59.6542079Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6542672Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6543187Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6543603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6544016Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6544430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6544945Z     x = stage(x)
2025-11-03T16:46:59.6545333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6545744Z     out = F.relu_(out)
2025-11-03T16:46:59.6545859Z 
2025-11-03T16:46:59.6545974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6546524Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6547042Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6547461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6547891Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6548307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6548712Z     x = stage(x)
2025-11-03T16:46:59.6549082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6549497Z     out = self.conv2(out)
2025-11-03T16:46:59.6549860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6550250Z     x = F.conv2d(
2025-11-03T16:46:59.6550360Z 
2025-11-03T16:46:59.6550479Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6551056Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6551573Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6551980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6552399Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6552816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6553248Z     x = stage(x)
2025-11-03T16:46:59.6553615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6554015Z     out = F.relu_(out)
2025-11-03T16:46:59.6554133Z 
2025-11-03T16:46:59.6554250Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6554790Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6555305Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6555722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6556133Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6556555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6556961Z     x = stage(x)
2025-11-03T16:46:59.6557330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6557735Z     out = self.conv3(out)
2025-11-03T16:46:59.6558173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6558558Z     x = F.conv2d(
2025-11-03T16:46:59.6558661Z 
2025-11-03T16:46:59.6558783Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6559319Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6559821Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6560238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6560659Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6561083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6561482Z     x = stage(x)
2025-11-03T16:46:59.6561847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6562258Z     out = F.relu_(out)
2025-11-03T16:46:59.6562373Z 
2025-11-03T16:46:59.6562497Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6563034Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6563534Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6563945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6564362Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6564782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6565193Z     x = stage(x)
2025-11-03T16:46:59.6565544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6565944Z     out = self.conv1(x)
2025-11-03T16:46:59.6566323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6566702Z     x = F.conv2d(
2025-11-03T16:46:59.6566801Z 
2025-11-03T16:46:59.6566920Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6567439Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6567958Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6568401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6569015Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6569431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6569832Z     x = stage(x)
2025-11-03T16:46:59.6570205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6570624Z     out = F.relu_(out)
2025-11-03T16:46:59.6570734Z 
2025-11-03T16:46:59.6570853Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6571369Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6571879Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6572299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6572723Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6573144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6573538Z     x = stage(x)
2025-11-03T16:46:59.6573953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6574368Z     out = self.conv2(out)
2025-11-03T16:46:59.6574739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6575120Z     x = F.conv2d(
2025-11-03T16:46:59.6575230Z 
2025-11-03T16:46:59.6575344Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6575885Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6576398Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6576813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6577224Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6577645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6578049Z     x = stage(x)
2025-11-03T16:46:59.6578418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6578821Z     out = F.relu_(out)
2025-11-03T16:46:59.6578933Z 
2025-11-03T16:46:59.6579048Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6579583Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6580099Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6580519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6580927Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6581347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6581778Z     x = stage(x)
2025-11-03T16:46:59.6582162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6582573Z     out = self.conv3(out)
2025-11-03T16:46:59.6582949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6583343Z     x = F.conv2d(
2025-11-03T16:46:59.6583451Z 
2025-11-03T16:46:59.6583566Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6584138Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6584771Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6585200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6585626Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6586048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6586673Z     x = stage(x)
2025-11-03T16:46:59.6587040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:46:59.6587468Z     shortcut = self.shortcut(x)
2025-11-03T16:46:59.6587851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6588241Z     x = F.conv2d(
2025-11-03T16:46:59.6588345Z 
2025-11-03T16:46:59.6588470Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6589006Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6589621Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6590043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6590460Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6590878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6591273Z     x = stage(x)
2025-11-03T16:46:59.6591643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6592052Z     out = self.conv1(x)
2025-11-03T16:46:59.6592416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6592795Z     x = F.conv2d(
2025-11-03T16:46:59.6592906Z 
2025-11-03T16:46:59.6593021Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6593561Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6594075Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6594489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6594895Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6595312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6595713Z     x = stage(x)
2025-11-03T16:46:59.6596080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6596487Z     out = F.relu_(out)
2025-11-03T16:46:59.6596599Z 
2025-11-03T16:46:59.6596714Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6597253Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6597807Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6598224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6598638Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6599057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6599462Z     x = stage(x)
2025-11-03T16:46:59.6599870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6600265Z     out = self.conv2(out)
2025-11-03T16:46:59.6600617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6600998Z     x = F.conv2d(
2025-11-03T16:46:59.6601108Z 
2025-11-03T16:46:59.6601225Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6601763Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6602274Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6602690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6603094Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6603508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6603916Z     x = stage(x)
2025-11-03T16:46:59.6604276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6604681Z     out = F.relu_(out)
2025-11-03T16:46:59.6604801Z 
2025-11-03T16:46:59.6604966Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6605507Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6606004Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6606402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6606814Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6607235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6607643Z     x = stage(x)
2025-11-03T16:46:59.6608015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6608415Z     out = self.conv3(out)
2025-11-03T16:46:59.6608786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6609163Z     x = F.conv2d(
2025-11-03T16:46:59.6609264Z 
2025-11-03T16:46:59.6609386Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6609916Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6610431Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6610847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6611270Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6611688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6612079Z     x = stage(x)
2025-11-03T16:46:59.6612449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6612885Z     out = F.relu_(out)
2025-11-03T16:46:59.6612997Z 
2025-11-03T16:46:59.6613118Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6613655Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6614161Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6614575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6615017Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6615438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6615832Z     x = stage(x)
2025-11-03T16:46:59.6616204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6616615Z     out = self.conv1(x)
2025-11-03T16:46:59.6616978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6617362Z     x = F.conv2d(
2025-11-03T16:46:59.6617466Z 
2025-11-03T16:46:59.6617579Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6618117Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6618630Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6619047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6619468Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6619880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6620346Z     x = stage(x)
2025-11-03T16:46:59.6620720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6621129Z     out = F.relu_(out)
2025-11-03T16:46:59.6621240Z 
2025-11-03T16:46:59.6621354Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6621890Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6622398Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6622817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6623234Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6623645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6624049Z     x = stage(x)
2025-11-03T16:46:59.6624421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6624927Z     out = self.conv2(out)
2025-11-03T16:46:59.6625307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6625681Z     x = F.conv2d(
2025-11-03T16:46:59.6625794Z 
2025-11-03T16:46:59.6625909Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6626449Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6626972Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6627386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6627808Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6628235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6628677Z     x = stage(x)
2025-11-03T16:46:59.6629041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6629436Z     out = F.relu_(out)
2025-11-03T16:46:59.6629558Z 
2025-11-03T16:46:59.6629671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6630208Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6630746Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6631158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6631582Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6632003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6632406Z     x = stage(x)
2025-11-03T16:46:59.6632770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6633179Z     out = self.conv3(out)
2025-11-03T16:46:59.6633536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6633918Z     x = F.conv2d(
2025-11-03T16:46:59.6634019Z 
2025-11-03T16:46:59.6634142Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6634677Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6635181Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6635636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6636060Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6636500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6636904Z     x = stage(x)
2025-11-03T16:46:59.6637266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6637672Z     out = F.relu_(out)
2025-11-03T16:46:59.6637786Z 
2025-11-03T16:46:59.6637898Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6638460Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6638990Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6639407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6639812Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6640233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6640635Z     x = stage(x)
2025-11-03T16:46:59.6640998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6641406Z     out = self.conv1(x)
2025-11-03T16:46:59.6641756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6642144Z     x = F.conv2d(
2025-11-03T16:46:59.6642241Z 
2025-11-03T16:46:59.6642357Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6642908Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6643445Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6643892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6644316Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6644735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6645125Z     x = stage(x)
2025-11-03T16:46:59.6645492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6645921Z     out = F.relu_(out)
2025-11-03T16:46:59.6646033Z 
2025-11-03T16:46:59.6646153Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6646679Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6647191Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6647610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6648028Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6648444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6648839Z     x = stage(x)
2025-11-03T16:46:59.6649207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6649611Z     out = self.conv2(out)
2025-11-03T16:46:59.6649974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6650353Z     x = F.conv2d(
2025-11-03T16:46:59.6650463Z 
2025-11-03T16:46:59.6650576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6651159Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6651674Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6652088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6652509Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6652931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6653333Z     x = stage(x)
2025-11-03T16:46:59.6653706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6654107Z     out = F.relu_(out)
2025-11-03T16:46:59.6654218Z 
2025-11-03T16:46:59.6654334Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6654875Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6655390Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6655807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6656232Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6656641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6657039Z     x = stage(x)
2025-11-03T16:46:59.6657407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6657815Z     out = self.conv3(out)
2025-11-03T16:46:59.6658171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6658570Z     x = F.conv2d(
2025-11-03T16:46:59.6658680Z 
2025-11-03T16:46:59.6658796Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6659364Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6659873Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6660281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6660698Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6661118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6661554Z     x = stage(x)
2025-11-03T16:46:59.6661929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6662331Z     out = F.relu_(out)
2025-11-03T16:46:59.6662450Z 
2025-11-03T16:46:59.6662571Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6663111Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6663625Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6664037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:46:59.6664467Z     lateral_features = lateral_conv(features)
2025-11-03T16:46:59.6664962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6665348Z     x = F.conv2d(
2025-11-03T16:46:59.6665452Z 
2025-11-03T16:46:59.6665572Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6666103Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6666670Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6667090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6667519Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6667941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6668332Z     x = stage(x)
2025-11-03T16:46:59.6668703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6669105Z     out = self.conv1(x)
2025-11-03T16:46:59.6669466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6669843Z     x = F.conv2d(
2025-11-03T16:46:59.6669951Z 
2025-11-03T16:46:59.6670064Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6670601Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6671117Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6671537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6671942Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6672350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6672741Z     x = stage(x)
2025-11-03T16:46:59.6673102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6673495Z     out = F.relu_(out)
2025-11-03T16:46:59.6673609Z 
2025-11-03T16:46:59.6673719Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6674239Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6674772Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6675179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6675597Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6676015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6676466Z     x = stage(x)
2025-11-03T16:46:59.6676837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6677253Z     out = self.conv2(out)
2025-11-03T16:46:59.6677608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6677982Z     x = F.conv2d(
2025-11-03T16:46:59.6678091Z 
2025-11-03T16:46:59.6678207Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6678748Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6679257Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6679659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6680080Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6680494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6680888Z     x = stage(x)
2025-11-03T16:46:59.6681243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6681639Z     out = F.relu_(out)
2025-11-03T16:46:59.6681755Z 
2025-11-03T16:46:59.6681917Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6682442Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6682952Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6683353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6683768Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6684175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6684568Z     x = stage(x)
2025-11-03T16:46:59.6684926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6685312Z     out = self.conv3(out)
2025-11-03T16:46:59.6685674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6686050Z     x = F.conv2d(
2025-11-03T16:46:59.6686357Z 
2025-11-03T16:46:59.6686481Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6687001Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6687512Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6687916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6688329Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6688740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6689122Z     x = stage(x)
2025-11-03T16:46:59.6689488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:46:59.6689960Z     shortcut = self.shortcut(x)
2025-11-03T16:46:59.6690333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6690712Z     x = F.conv2d(
2025-11-03T16:46:59.6690810Z 
2025-11-03T16:46:59.6690922Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6691449Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6692068Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6692479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6692892Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6693311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6693706Z     x = stage(x)
2025-11-03T16:46:59.6694071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6694472Z     out = self.conv1(x)
2025-11-03T16:46:59.6694821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6695203Z     x = F.conv2d(
2025-11-03T16:46:59.6695312Z 
2025-11-03T16:46:59.6695425Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6695959Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6696476Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6696889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6697403Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6697831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6698235Z     x = stage(x)
2025-11-03T16:46:59.6698594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6698998Z     out = F.relu_(out)
2025-11-03T16:46:59.6699118Z 
2025-11-03T16:46:59.6699230Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6699767Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6700282Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6700689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6701107Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6701530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6701931Z     x = stage(x)
2025-11-03T16:46:59.6702297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6702697Z     out = self.conv2(out)
2025-11-03T16:46:59.6703064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6703445Z     x = F.conv2d(
2025-11-03T16:46:59.6703545Z 
2025-11-03T16:46:59.6703666Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6704193Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6704770Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6705200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6705652Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6706079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6706473Z     x = stage(x)
2025-11-03T16:46:59.6706843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6707245Z     out = F.relu_(out)
2025-11-03T16:46:59.6707383Z 
2025-11-03T16:46:59.6707507Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6708054Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6708572Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6709007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6709429Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6709853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6710264Z     x = stage(x)
2025-11-03T16:46:59.6710635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6711052Z     out = self.conv3(out)
2025-11-03T16:46:59.6711431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6711830Z     x = F.conv2d(
2025-11-03T16:46:59.6711934Z 
2025-11-03T16:46:59.6712051Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6712634Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6713156Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6713582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6714009Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6714427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6714828Z     x = stage(x)
2025-11-03T16:46:59.6715198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6715603Z     out = F.relu_(out)
2025-11-03T16:46:59.6715713Z 
2025-11-03T16:46:59.6715826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6716358Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6716881Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6717297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6717723Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6718137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6718539Z     x = stage(x)
2025-11-03T16:46:59.6718911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6719319Z     out = self.conv1(x)
2025-11-03T16:46:59.6719682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6720063Z     x = F.conv2d(
2025-11-03T16:46:59.6720176Z 
2025-11-03T16:46:59.6720291Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6720851Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6721397Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6721819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6722246Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6722666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6723089Z     x = stage(x)
2025-11-03T16:46:59.6723463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6723861Z     out = F.relu_(out)
2025-11-03T16:46:59.6723981Z 
2025-11-03T16:46:59.6724095Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6724651Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6725175Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6725588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6726009Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6726428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6726835Z     x = stage(x)
2025-11-03T16:46:59.6727205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6727610Z     out = self.conv2(out)
2025-11-03T16:46:59.6727976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6728405Z     x = F.conv2d(
2025-11-03T16:46:59.6728512Z 
2025-11-03T16:46:59.6728634Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6729175Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6729682Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6730101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6730521Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6730947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6731352Z     x = stage(x)
2025-11-03T16:46:59.6731716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6732120Z     out = F.relu_(out)
2025-11-03T16:46:59.6732244Z 
2025-11-03T16:46:59.6732361Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6732900Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6733410Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6733816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6734239Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6734660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6735059Z     x = stage(x)
2025-11-03T16:46:59.6735421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6735830Z     out = self.conv3(out)
2025-11-03T16:46:59.6736202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6736630Z     x = F.conv2d(
2025-11-03T16:46:59.6736732Z 
2025-11-03T16:46:59.6736864Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6737377Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6737891Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6738309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6738751Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6739174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6739569Z     x = stage(x)
2025-11-03T16:46:59.6739945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6740356Z     out = F.relu_(out)
2025-11-03T16:46:59.6740469Z 
2025-11-03T16:46:59.6740590Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6741116Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6741629Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6742043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6742461Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6742882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6743273Z     x = stage(x)
2025-11-03T16:46:59.6743684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6744090Z     out = self.conv1(x)
2025-11-03T16:46:59.6744454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6744921Z     x = F.conv2d(
2025-11-03T16:46:59.6745037Z 
2025-11-03T16:46:59.6745156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6745700Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6746233Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6746661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6747079Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6747517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6747935Z     x = stage(x)
2025-11-03T16:46:59.6748313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6748724Z     out = F.relu_(out)
2025-11-03T16:46:59.6748837Z 
2025-11-03T16:46:59.6748954Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6749500Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6750023Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6750451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6750882Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6751303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6751712Z     x = stage(x)
2025-11-03T16:46:59.6752114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6752522Z     out = self.conv2(out)
2025-11-03T16:46:59.6752884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6753276Z     x = F.conv2d(
2025-11-03T16:46:59.6753386Z 
2025-11-03T16:46:59.6753500Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6754040Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6754578Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6754988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6755422Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6755848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6756256Z     x = stage(x)
2025-11-03T16:46:59.6756625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6757024Z     out = F.relu_(out)
2025-11-03T16:46:59.6757142Z 
2025-11-03T16:46:59.6757255Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6757793Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6758311Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6758717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6777954Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6778668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6779130Z     x = stage(x)
2025-11-03T16:46:59.6779526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6779959Z     out = self.conv3(out)
2025-11-03T16:46:59.6780353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6780745Z     x = F.conv2d(
2025-11-03T16:46:59.6780862Z 
2025-11-03T16:46:59.6780987Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6781559Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6782096Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6782541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6782976Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6783406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6783818Z     x = stage(x)
2025-11-03T16:46:59.6784202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6784682Z     out = F.relu_(out)
2025-11-03T16:46:59.6784824Z 
2025-11-03T16:46:59.6784957Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6785502Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6786029Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6786760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6787291Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6787713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6788108Z     x = stage(x)
2025-11-03T16:46:59.6788485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6788895Z     out = self.conv1(x)
2025-11-03T16:46:59.6789266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6789699Z     x = F.conv2d(
2025-11-03T16:46:59.6789813Z 
2025-11-03T16:46:59.6789930Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6790473Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6790997Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6791418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6791834Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6792261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6792669Z     x = stage(x)
2025-11-03T16:46:59.6793047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6793460Z     out = F.relu_(out)
2025-11-03T16:46:59.6793575Z 
2025-11-03T16:46:59.6793691Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6794233Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6794805Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6795229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6795662Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6796075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6796479Z     x = stage(x)
2025-11-03T16:46:59.6796855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6797264Z     out = self.conv2(out)
2025-11-03T16:46:59.6797628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6798015Z     x = F.conv2d(
2025-11-03T16:46:59.6798125Z 
2025-11-03T16:46:59.6798239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6798782Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6799300Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6799708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6800137Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6800544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6800938Z     x = stage(x)
2025-11-03T16:46:59.6801291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6801685Z     out = F.relu_(out)
2025-11-03T16:46:59.6801800Z 
2025-11-03T16:46:59.6801910Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6802434Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6802961Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6803360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6803765Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6804179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6804595Z     x = stage(x)
2025-11-03T16:46:59.6804949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6805335Z     out = self.conv3(out)
2025-11-03T16:46:59.6805706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6806091Z     x = F.conv2d(
2025-11-03T16:46:59.6806191Z 
2025-11-03T16:46:59.6806312Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6806823Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6807323Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6807735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6808145Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6808558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6808948Z     x = stage(x)
2025-11-03T16:46:59.6809314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6809718Z     out = F.relu_(out)
2025-11-03T16:46:59.6809829Z 
2025-11-03T16:46:59.6810044Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6810647Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6811174Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6811608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6812038Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6812479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6812897Z     x = stage(x)
2025-11-03T16:46:59.6813270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6813692Z     out = self.conv1(x)
2025-11-03T16:46:59.6814072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6814466Z     x = F.conv2d(
2025-11-03T16:46:59.6814570Z 
2025-11-03T16:46:59.6814685Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6815239Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6815769Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6816196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6816626Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6817051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6817462Z     x = stage(x)
2025-11-03T16:46:59.6817842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6818279Z     out = F.relu_(out)
2025-11-03T16:46:59.6818391Z 
2025-11-03T16:46:59.6818503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6819034Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6819545Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6819964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6820401Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6820813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6821225Z     x = stage(x)
2025-11-03T16:46:59.6821593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6822004Z     out = self.conv2(out)
2025-11-03T16:46:59.6822373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6822752Z     x = F.conv2d(
2025-11-03T16:46:59.6822861Z 
2025-11-03T16:46:59.6822975Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6823508Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6824015Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6824424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6824932Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6825362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6825807Z     x = stage(x)
2025-11-03T16:46:59.6826182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6826579Z     out = F.relu_(out)
2025-11-03T16:46:59.6826700Z 
2025-11-03T16:46:59.6826815Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6827357Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6827869Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6828283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6828691Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6829110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6829511Z     x = stage(x)
2025-11-03T16:46:59.6829883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6830292Z     out = self.conv3(out)
2025-11-03T16:46:59.6830654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6831034Z     x = F.conv2d(
2025-11-03T16:46:59.6831135Z 
2025-11-03T16:46:59.6831260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6831795Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6832299Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6832719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6833136Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6833557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6833986Z     x = stage(x)
2025-11-03T16:46:59.6834348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6834762Z     out = F.relu_(out)
2025-11-03T16:46:59.6834881Z 
2025-11-03T16:46:59.6834995Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6835528Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6836068Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6836476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:46:59.6836897Z     lateral_features = lateral_conv(features)
2025-11-03T16:46:59.6837310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6837693Z     x = F.conv2d(
2025-11-03T16:46:59.6837797Z 
2025-11-03T16:46:59.6837912Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6838452Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6838968Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6839389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6839813Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6840230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6840646Z     x = stage(x)
2025-11-03T16:46:59.6841071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6841482Z     out = self.conv1(x)
2025-11-03T16:46:59.6841843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6842222Z     x = F.conv2d(
2025-11-03T16:46:59.6842331Z 
2025-11-03T16:46:59.6842445Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6842977Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6843505Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6843923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6844371Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6844830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6845229Z     x = stage(x)
2025-11-03T16:46:59.6845594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6846008Z     out = F.relu_(out)
2025-11-03T16:46:59.6846123Z 
2025-11-03T16:46:59.6846234Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6846789Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6847293Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6847698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6848117Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6848530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6848954Z     x = stage(x)
2025-11-03T16:46:59.6849320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6849725Z     out = self.conv2(out)
2025-11-03T16:46:59.6850075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6850448Z     x = F.conv2d(
2025-11-03T16:46:59.6850552Z 
2025-11-03T16:46:59.6850662Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6851227Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6851732Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6852130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6852550Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6852967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6853367Z     x = stage(x)
2025-11-03T16:46:59.6853731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6854167Z     out = F.relu_(out)
2025-11-03T16:46:59.6854283Z 
2025-11-03T16:46:59.6854393Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6854910Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6855410Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6855821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6856295Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6856720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6857132Z     x = stage(x)
2025-11-03T16:46:59.6857500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6857908Z     out = self.conv3(out)
2025-11-03T16:46:59.6858269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6858639Z     x = F.conv2d(
2025-11-03T16:46:59.6858740Z 
2025-11-03T16:46:59.6858861Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6859399Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6859906Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6860329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6860752Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6861171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6861577Z     x = stage(x)
2025-11-03T16:46:59.6861947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:46:59.6862368Z     shortcut = self.shortcut(x)
2025-11-03T16:46:59.6862754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6863131Z     x = F.conv2d(
2025-11-03T16:46:59.6863234Z 
2025-11-03T16:46:59.6863349Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6863895Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6864431Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6864933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6865361Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6865776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6866179Z     x = stage(x)
2025-11-03T16:46:59.6866551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6867010Z     out = self.conv1(x)
2025-11-03T16:46:59.6867367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6867748Z     x = F.conv2d(
2025-11-03T16:46:59.6867861Z 
2025-11-03T16:46:59.6867978Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6868515Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6869026Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6869437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6869856Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6870275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6870677Z     x = stage(x)
2025-11-03T16:46:59.6871042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6871437Z     out = F.relu_(out)
2025-11-03T16:46:59.6871555Z 
2025-11-03T16:46:59.6871712Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6872256Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6872772Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6873181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6873600Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6874023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6874431Z     x = stage(x)
2025-11-03T16:46:59.6874803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6875216Z     out = self.conv2(out)
2025-11-03T16:46:59.6875576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6875947Z     x = F.conv2d(
2025-11-03T16:46:59.6876047Z 
2025-11-03T16:46:59.6876165Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6876685Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6877175Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6877579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6877987Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6878397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6878785Z     x = stage(x)
2025-11-03T16:46:59.6879144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6879539Z     out = F.relu_(out)
2025-11-03T16:46:59.6879678Z 
2025-11-03T16:46:59.6879796Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6880315Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6880809Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6881220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6881646Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6882054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6882446Z     x = stage(x)
2025-11-03T16:46:59.6882798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6883199Z     out = self.conv3(out)
2025-11-03T16:46:59.6883557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6883924Z     x = F.conv2d(
2025-11-03T16:46:59.6884023Z 
2025-11-03T16:46:59.6884134Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6884651Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6885150Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6885556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6885958Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6886605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6887014Z     x = stage(x)
2025-11-03T16:46:59.6887470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6887877Z     out = F.relu_(out)
2025-11-03T16:46:59.6887986Z 
2025-11-03T16:46:59.6888104Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6888641Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6889149Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6889561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6889982Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6890392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6890794Z     x = stage(x)
2025-11-03T16:46:59.6891221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:59.6891636Z     out = self.conv1(x)
2025-11-03T16:46:59.6891986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6892357Z     x = F.conv2d(
2025-11-03T16:46:59.6892464Z 
2025-11-03T16:46:59.6892576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6893123Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6893639Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6894048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6894459Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6894884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6895309Z     x = stage(x)
2025-11-03T16:46:59.6895667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:59.6896063Z     out = F.relu_(out)
2025-11-03T16:46:59.6896180Z 
2025-11-03T16:46:59.6896290Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6896813Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6897351Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6897757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6898166Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6898575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6898968Z     x = stage(x)
2025-11-03T16:46:59.6899328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:59.6899784Z     out = self.conv2(out)
2025-11-03T16:46:59.6900134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6900505Z     x = F.conv2d(
2025-11-03T16:46:59.6900605Z 
2025-11-03T16:46:59.6900726Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6901251Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6901742Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6902145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6902603Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6903016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6903409Z     x = stage(x)
2025-11-03T16:46:59.6903770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:59.6904189Z     out = F.relu_(out)
2025-11-03T16:46:59.6904309Z 
2025-11-03T16:46:59.6904421Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6905019Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6905534Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6905942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6906361Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6906780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6906848Z     x = stage(x)
2025-11-03T16:46:59.6907125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:59.6907201Z     out = self.conv3(out)
2025-11-03T16:46:59.6907450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6907522Z     x = F.conv2d(
2025-11-03T16:46:59.6907526Z 
2025-11-03T16:46:59.6907643Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6908014Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6908101Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6908363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:46:59.6908483Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:46:59.6908744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:46:59.6908817Z     x = stage(x)
2025-11-03T16:46:59.6909079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:59.6909160Z     out = F.relu_(out)
2025-11-03T16:46:59.6909188Z 
2025-11-03T16:46:59.6909305Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6909668Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6909757Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6910021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward
2025-11-03T16:46:59.6910210Z     prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]])
2025-11-03T16:46:59.6910460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:59.6910534Z     x = F.conv2d(
2025-11-03T16:46:59.6910537Z 
2025-11-03T16:46:59.6910649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6911002Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6911088Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6911369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:46:59.6911490Z     prev_features = lateral_features + top_down_features
2025-11-03T16:46:59.6911540Z 
2025-11-03T16:46:59.6911663Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6912017Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6912106Z     features = self.backbone(images.tensor)
2025-11-03T16:46:59.6912372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:46:59.6912489Z     prev_features = lateral_features + top_down_features
2025-11-03T16:46:59.6912496Z 
2025-11-03T16:46:59.6912599Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6912711Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6913072Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6913166Z     predictions = self.head(features)
2025-11-03T16:46:59.6913428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6913568Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6913573Z 
2025-11-03T16:46:59.6913684Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6914042Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6914135Z     predictions = self.head(features)
2025-11-03T16:46:59.6914397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6914533Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6914537Z 
2025-11-03T16:46:59.6914648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6915013Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6915140Z     predictions = self.head(features)
2025-11-03T16:46:59.6915410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6915533Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6915537Z 
2025-11-03T16:46:59.6915649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6916031Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6916115Z     predictions = self.head(features)
2025-11-03T16:46:59.6916383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6916507Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6916513Z 
2025-11-03T16:46:59.6916635Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6916987Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6917070Z     predictions = self.head(features)
2025-11-03T16:46:59.6917340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6917462Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6917466Z 
2025-11-03T16:46:59.6917586Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6917940Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6918033Z     predictions = self.head(features)
2025-11-03T16:46:59.6918366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6918489Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6918494Z 
2025-11-03T16:46:59.6918614Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6918964Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6919051Z     predictions = self.head(features)
2025-11-03T16:46:59.6919313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6919432Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6919444Z 
2025-11-03T16:46:59.6919554Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6919907Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6920000Z     predictions = self.head(features)
2025-11-03T16:46:59.6920260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6920388Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6920392Z 
2025-11-03T16:46:59.6920485Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6920571Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6920693Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6921048Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6921136Z     predictions = self.head(features)
2025-11-03T16:46:59.6921399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6921554Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6921558Z 
2025-11-03T16:46:59.6921672Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6922024Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6922115Z     predictions = self.head(features)
2025-11-03T16:46:59.6922376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6922525Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6922529Z 
2025-11-03T16:46:59.6922641Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6923009Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6923094Z     predictions = self.head(features)
2025-11-03T16:46:59.6923357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6923485Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6923489Z 
2025-11-03T16:46:59.6923602Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6923963Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6924048Z     predictions = self.head(features)
2025-11-03T16:46:59.6924320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6924444Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6924447Z 
2025-11-03T16:46:59.6924670Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6925025Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6925107Z     predictions = self.head(features)
2025-11-03T16:46:59.6925368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6925486Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6925489Z 
2025-11-03T16:46:59.6925601Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6925975Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6926056Z     predictions = self.head(features)
2025-11-03T16:46:59.6926320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6926439Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6926442Z 
2025-11-03T16:46:59.6926558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6926921Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6927003Z     predictions = self.head(features)
2025-11-03T16:46:59.6927267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6927385Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6927388Z 
2025-11-03T16:46:59.6927507Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6927875Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6927994Z     predictions = self.head(features)
2025-11-03T16:46:59.6928253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6928371Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6928375Z 
2025-11-03T16:46:59.6928470Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6928554Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6928668Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6929060Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6929140Z     predictions = self.head(features)
2025-11-03T16:46:59.6929407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6929526Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6929532Z 
2025-11-03T16:46:59.6929650Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6930021Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6930110Z     predictions = self.head(features)
2025-11-03T16:46:59.6930370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6930490Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6930494Z 
2025-11-03T16:46:59.6930610Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6930962Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6931086Z     predictions = self.head(features)
2025-11-03T16:46:59.6931342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6931465Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6931469Z 
2025-11-03T16:46:59.6931576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6931937Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6932025Z     predictions = self.head(features)
2025-11-03T16:46:59.6932279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6932405Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6932408Z 
2025-11-03T16:46:59.6932516Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6932879Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6932969Z     predictions = self.head(features)
2025-11-03T16:46:59.6933222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6933345Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6933350Z 
2025-11-03T16:46:59.6933458Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6933811Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6933892Z     predictions = self.head(features)
2025-11-03T16:46:59.6934144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6934270Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6934294Z 
2025-11-03T16:46:59.6934405Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6934771Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6934850Z     predictions = self.head(features)
2025-11-03T16:46:59.6935107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6935222Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6935246Z 
2025-11-03T16:46:59.6935355Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6935731Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6935812Z     predictions = self.head(features)
2025-11-03T16:46:59.6936077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6936195Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6936199Z 
2025-11-03T16:46:59.6936291Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6936374Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6936482Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6936836Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6936918Z     predictions = self.head(features)
2025-11-03T16:46:59.6937178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6937294Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6937297Z 
2025-11-03T16:46:59.6937455Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6937810Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6937891Z     predictions = self.head(features)
2025-11-03T16:46:59.6938149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6938263Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6938271Z 
2025-11-03T16:46:59.6938385Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6938730Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6938810Z     predictions = self.head(features)
2025-11-03T16:46:59.6939074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6939190Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6939194Z 
2025-11-03T16:46:59.6939308Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6939652Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6939741Z     predictions = self.head(features)
2025-11-03T16:46:59.6939994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6940109Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6940113Z 
2025-11-03T16:46:59.6940229Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6940572Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6940683Z     predictions = self.head(features)
2025-11-03T16:46:59.6940939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6941055Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6941068Z 
2025-11-03T16:46:59.6941178Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6941520Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6941632Z     predictions = self.head(features)
2025-11-03T16:46:59.6941888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6942012Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6942015Z 
2025-11-03T16:46:59.6942128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6942472Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6942559Z     predictions = self.head(features)
2025-11-03T16:46:59.6942809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6942932Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6942935Z 
2025-11-03T16:46:59.6943044Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6943392Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6943473Z     predictions = self.head(features)
2025-11-03T16:46:59.6943761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6943891Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6943894Z 
2025-11-03T16:46:59.6943980Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6944072Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6944180Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6944523Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6944695Z     predictions = self.head(features)
2025-11-03T16:46:59.6944963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6945092Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6945095Z 
2025-11-03T16:46:59.6945206Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6945572Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6945656Z     predictions = self.head(features)
2025-11-03T16:46:59.6945918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6946049Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6946052Z 
2025-11-03T16:46:59.6946165Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6951135Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6951256Z     predictions = self.head(features)
2025-11-03T16:46:59.6951531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6951670Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6951720Z 
2025-11-03T16:46:59.6951837Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6952203Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6952287Z     predictions = self.head(features)
2025-11-03T16:46:59.6952560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6952708Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6952713Z 
2025-11-03T16:46:59.6952870Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6953225Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6953317Z     predictions = self.head(features)
2025-11-03T16:46:59.6953583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6953714Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6953718Z 
2025-11-03T16:46:59.6953831Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6954183Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6954277Z     predictions = self.head(features)
2025-11-03T16:46:59.6954538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6954666Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6954670Z 
2025-11-03T16:46:59.6954783Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6955164Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6955251Z     predictions = self.head(features)
2025-11-03T16:46:59.6955515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6955644Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6955648Z 
2025-11-03T16:46:59.6955759Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6956126Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6956214Z     predictions = self.head(features)
2025-11-03T16:46:59.6956479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6956608Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6956614Z 
2025-11-03T16:46:59.6956703Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6956823Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6957177Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6957269Z     predictions = self.head(features)
2025-11-03T16:46:59.6957531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6957630Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6957634Z 
2025-11-03T16:46:59.6957826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6958183Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6958278Z     predictions = self.head(features)
2025-11-03T16:46:59.6958568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6958673Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6958677Z 
2025-11-03T16:46:59.6958788Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6959142Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6959234Z     predictions = self.head(features)
2025-11-03T16:46:59.6959517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6959618Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6959622Z 
2025-11-03T16:46:59.6959731Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6960092Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6960177Z     predictions = self.head(features)
2025-11-03T16:46:59.6960436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6960535Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6960539Z 
2025-11-03T16:46:59.6960650Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6961010Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6961096Z     predictions = self.head(features)
2025-11-03T16:46:59.6961357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6961457Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6961482Z 
2025-11-03T16:46:59.6961599Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6961963Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6962045Z     predictions = self.head(features)
2025-11-03T16:46:59.6962313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6962403Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6962409Z 
2025-11-03T16:46:59.6962520Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6962896Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6962979Z     predictions = self.head(features)
2025-11-03T16:46:59.6963243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6963332Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6963336Z 
2025-11-03T16:46:59.6963454Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6963799Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6963878Z     predictions = self.head(features)
2025-11-03T16:46:59.6964145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6964238Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6964282Z 
2025-11-03T16:46:59.6964380Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6964491Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6964847Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6964957Z     predictions = self.head(features)
2025-11-03T16:46:59.6965221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6965319Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6965323Z 
2025-11-03T16:46:59.6965436Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6965800Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6965928Z     predictions = self.head(features)
2025-11-03T16:46:59.6966188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6966284Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6966288Z 
2025-11-03T16:46:59.6966399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6966755Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6966836Z     predictions = self.head(features)
2025-11-03T16:46:59.6967103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6967192Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6967196Z 
2025-11-03T16:46:59.6967309Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6967672Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6967754Z     predictions = self.head(features)
2025-11-03T16:46:59.6968041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6968136Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6968140Z 
2025-11-03T16:46:59.6968251Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6968618Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6968702Z     predictions = self.head(features)
2025-11-03T16:46:59.6968985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6969074Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6969078Z 
2025-11-03T16:46:59.6969194Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6969544Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6969627Z     predictions = self.head(features)
2025-11-03T16:46:59.6969896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6969983Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6969987Z 
2025-11-03T16:46:59.6970104Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6970452Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6970542Z     predictions = self.head(features)
2025-11-03T16:46:59.6970823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6970913Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6970917Z 
2025-11-03T16:46:59.6971034Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6971386Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6971499Z     predictions = self.head(features)
2025-11-03T16:46:59.6971760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6971850Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6971861Z 
2025-11-03T16:46:59.6971956Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6972087Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6972443Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6972527Z     predictions = self.head(features)
2025-11-03T16:46:59.6972792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6972885Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6972889Z 
2025-11-03T16:46:59.6973000Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6973356Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6973440Z     predictions = self.head(features)
2025-11-03T16:46:59.6973704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6973797Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6973800Z 
2025-11-03T16:46:59.6973920Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6974266Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6974372Z     predictions = self.head(features)
2025-11-03T16:46:59.6974640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6974728Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6974732Z 
2025-11-03T16:46:59.6974849Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6975195Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6975285Z     predictions = self.head(features)
2025-11-03T16:46:59.6975543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6975630Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6975634Z 
2025-11-03T16:46:59.6975751Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6976099Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6976188Z     predictions = self.head(features)
2025-11-03T16:46:59.6976445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6976533Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6976546Z 
2025-11-03T16:46:59.6976652Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6976999Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6977113Z     predictions = self.head(features)
2025-11-03T16:46:59.6977369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6977462Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6977489Z 
2025-11-03T16:46:59.6977601Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6977942Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6978031Z     predictions = self.head(features)
2025-11-03T16:46:59.6978284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6978377Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6978401Z 
2025-11-03T16:46:59.6978510Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6978859Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6978939Z     predictions = self.head(features)
2025-11-03T16:46:59.6979194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6979290Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6979293Z 
2025-11-03T16:46:59.6979377Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6979492Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6979833Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6979914Z     predictions = self.head(features)
2025-11-03T16:46:59.6980179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6980270Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6980274Z 
2025-11-03T16:46:59.6980394Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6980766Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6980862Z     predictions = self.head(features)
2025-11-03T16:46:59.6981126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6981217Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6981221Z 
2025-11-03T16:46:59.6981342Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6981704Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6981796Z     predictions = self.head(features)
2025-11-03T16:46:59.6982060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6982159Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6982163Z 
2025-11-03T16:46:59.6982279Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6982665Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6982748Z     predictions = self.head(features)
2025-11-03T16:46:59.6983026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6983116Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6983121Z 
2025-11-03T16:46:59.6983234Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6983625Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6983710Z     predictions = self.head(features)
2025-11-03T16:46:59.6983982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6984123Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6984127Z 
2025-11-03T16:46:59.6984247Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6984598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6984773Z     predictions = self.head(features)
2025-11-03T16:46:59.6985049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6985170Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6985176Z 
2025-11-03T16:46:59.6985297Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6985656Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6985750Z     predictions = self.head(features)
2025-11-03T16:46:59.6986012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6986346Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6986353Z 
2025-11-03T16:46:59.6986484Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6986842Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6986937Z     predictions = self.head(features)
2025-11-03T16:46:59.6987200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6987290Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6987301Z 
2025-11-03T16:46:59.6987391Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6987562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6987940Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6988024Z     predictions = self.head(features)
2025-11-03T16:46:59.6988295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6988384Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6988388Z 
2025-11-03T16:46:59.6988502Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6988876Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6988958Z     predictions = self.head(features)
2025-11-03T16:46:59.6989232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6989322Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6989326Z 
2025-11-03T16:46:59.6989446Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6989806Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6989887Z     predictions = self.head(features)
2025-11-03T16:46:59.6990163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6990255Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6990259Z 
2025-11-03T16:46:59.6990422Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6990781Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6990866Z     predictions = self.head(features)
2025-11-03T16:46:59.6991175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6991264Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6991268Z 
2025-11-03T16:46:59.6991386Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6991737Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6991863Z     predictions = self.head(features)
2025-11-03T16:46:59.6992123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6992213Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6992217Z 
2025-11-03T16:46:59.6992336Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6992688Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6992781Z     predictions = self.head(features)
2025-11-03T16:46:59.6993040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6993136Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6993140Z 
2025-11-03T16:46:59.6993249Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6993601Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6993697Z     predictions = self.head(features)
2025-11-03T16:46:59.6993957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6994073Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6994080Z 
2025-11-03T16:46:59.6994194Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6994559Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6994642Z     predictions = self.head(features)
2025-11-03T16:46:59.6994906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:46:59.6995003Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:46:59.6995009Z 
2025-11-03T16:46:59.6995097Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.6995217Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6995576Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6995660Z     predictions = self.head(features)
2025-11-03T16:46:59.6995933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6996057Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6996061Z 
2025-11-03T16:46:59.6996181Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6996537Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6996630Z     predictions = self.head(features)
2025-11-03T16:46:59.6996919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6997044Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6997048Z 
2025-11-03T16:46:59.6997168Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6997523Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6997646Z     predictions = self.head(features)
2025-11-03T16:46:59.6997899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6998024Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6998027Z 
2025-11-03T16:46:59.6998136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6998501Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6998590Z     predictions = self.head(features)
2025-11-03T16:46:59.6998847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6998974Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6998979Z 
2025-11-03T16:46:59.6999088Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.6999433Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.6999523Z     predictions = self.head(features)
2025-11-03T16:46:59.6999777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:46:59.6999903Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:46:59.6999907Z 
2025-11-03T16:46:59.7000016Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.7000368Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.7000449Z     predictions = self.head(features)
2025-11-03T16:46:59.7000728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward
2025-11-03T16:46:59.7000840Z     bbox_reg.append(self.bbox_pred(bbox_feature))
2025-11-03T16:46:59.7000844Z 
2025-11-03T16:46:59.7000952Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.7001304Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.7001383Z     predictions = self.head(features)
2025-11-03T16:46:59.7001647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward
2025-11-03T16:46:59.7001751Z     bbox_reg.append(self.bbox_pred(bbox_feature))
2025-11-03T16:46:59.7001755Z 
2025-11-03T16:46:59.7001863Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.7002216Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.7002297Z     predictions = self.head(features)
2025-11-03T16:46:59.7002558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward
2025-11-03T16:46:59.7002658Z     bbox_reg.append(self.bbox_pred(bbox_feature))
2025-11-03T16:46:59.7002661Z 
2025-11-03T16:46:59.7002777Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.7003116Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.7003219Z     predictions = self.head(features)
2025-11-03T16:46:59.7003485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward
2025-11-03T16:46:59.7003585Z     bbox_reg.append(self.bbox_pred(bbox_feature))
2025-11-03T16:46:59.7003590Z 
2025-11-03T16:46:59.7003730Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:59.7004084Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 98, in torch_dynamo_resume_in_forward_at_95
2025-11-03T16:46:59.7004165Z     predictions = self.head(features)
2025-11-03T16:46:59.7004435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward
2025-11-03T16:46:59.7004536Z     bbox_reg.append(self.bbox_pred(bbox_feature))
2025-11-03T16:46:59.7004563Z 
2025-11-03T16:46:59.7004661Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.7004747Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.7004842Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.7004927Z cudagraph partition due to non gpu ops
2025-11-03T16:46:59.7005010Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5535622Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5535993Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5538587Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5538847Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5539089Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5539340Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5539566Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5539800Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5540029Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5540258Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5540486Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5540715Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5540950Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5541181Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5541398Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5541632Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5542195Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5542463Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5542701Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5542932Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.5543208Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.5543723Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:47:10.5544268Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:47:10.5545070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:47:10.5545595Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:47:10.5545801Z 
2025-11-03T16:47:10.5545935Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.5546401Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:47:10.5546918Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:47:10.5547444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:47:10.5547973Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:47:10.5548166Z 
2025-11-03T16:47:10.5548294Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.5548752Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:47:10.5549368Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:47:10.5549913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:47:10.5550542Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:47:10.5550746Z 
2025-11-03T16:47:10.5550867Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.5551317Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:47:10.5551808Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:47:10.5552320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:47:10.5552867Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:47:10.5553066Z 
2025-11-03T16:47:10.5553185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.5553633Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:47:10.5554134Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:47:10.5554648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:47:10.5555131Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:47:10.5555328Z 
2025-11-03T16:47:10.5555443Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.5555895Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:47:10.5556390Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:47:10.5556908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:47:10.5557443Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:47:10.5557684Z 
2025-11-03T16:47:10.5557826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.5558281Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:47:10.5558776Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:47:10.5559280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:47:10.5559803Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:47:10.5560041Z 
2025-11-03T16:47:10.5560157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.5560637Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:47:10.5561137Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:47:10.5561645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:47:10.5562166Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:47:10.5562397Z 
2025-11-03T16:47:10.5562510Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.5562958Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:47:10.5563454Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:47:10.5563990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:47:10.5564512Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:47:10.5564746Z 
2025-11-03T16:47:10.5564859Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.5565339Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:47:10.5565835Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:47:10.5566339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:47:10.5566853Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:47:10.5567082Z 
2025-11-03T16:47:11.8688649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:11.8689348Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 212, in _decode_per_level_predictions
2025-11-03T16:47:11.8689889Z     keep_idxs = pred_scores > score_thresh
2025-11-03T16:47:11.8690049Z 
2025-11-03T16:47:12.8888475Z cudagraph partition due to non gpu ops
2025-11-03T16:47:12.8889037Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:12.8894273Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:12.8895299Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:47:12.8895486Z 
2025-11-03T16:47:12.8896152Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:12.8896847Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 224, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:12.8897452Z     topk_idxs = topk_idxs[idxs]
2025-11-03T16:47:12.8897602Z 
2025-11-03T16:47:12.8897723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:12.8898740Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 228, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:12.8899342Z     pred_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:47:12.8899815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas
2025-11-03T16:47:12.8900320Z     strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1)
2025-11-03T16:47:12.8900539Z 
2025-11-03T16:47:12.8900657Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:12.8901243Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:12.8901832Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:47:12.8902004Z 
2025-11-03T16:47:14.4316363Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:14.4317061Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 212, in _decode_per_level_predictions
2025-11-03T16:47:14.4317609Z     keep_idxs = pred_scores > score_thresh
2025-11-03T16:47:14.4317770Z 
2025-11-03T16:47:17.3370180Z cudagraph partition due to non gpu ops
2025-11-03T16:47:17.3370550Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:17.3371206Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:17.3371808Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:47:17.3372029Z 
2025-11-03T16:47:17.3372152Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:17.3373123Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 224, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:17.3373686Z     topk_idxs = topk_idxs[idxs]
2025-11-03T16:47:17.3373829Z 
2025-11-03T16:47:17.3374048Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:17.3374626Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 228, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:17.3375207Z     pred_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:47:17.3375670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas
2025-11-03T16:47:17.3376185Z     strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1)
2025-11-03T16:47:17.3376454Z 
2025-11-03T16:47:17.3376577Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:17.3377159Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:17.3377753Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:47:17.3377930Z 
2025-11-03T16:47:19.2539447Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2540005Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2540384Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2541509Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2541864Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2542114Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2542355Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2542594Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2542931Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2543167Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2543417Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2543656Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2543891Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2544132Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2545036Z cudagraph partition due to non gpu ops
2025-11-03T16:47:19.2545359Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:19.2546028Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247
2025-11-03T16:47:19.2546738Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:47:19.2547279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat
2025-11-03T16:47:19.2547706Z     values = torch.cat(values, dim=0)
2025-11-03T16:47:19.2547856Z 
2025-11-03T16:47:19.2547992Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:19.2548608Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247
2025-11-03T16:47:19.2549283Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:47:19.2549792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat
2025-11-03T16:47:19.2550202Z     values = torch.cat(values, dim=0)
2025-11-03T16:47:19.2550350Z 
2025-11-03T16:47:19.2550475Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:19.2551078Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247
2025-11-03T16:47:19.2551844Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:47:19.2552365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 180, in cat
2025-11-03T16:47:19.2552770Z     values = type(v0).cat(values)
2025-11-03T16:47:19.2553163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 295, in cat
2025-11-03T16:47:19.2553670Z     cat_boxes = cls(torch.cat([b.tensor for b in boxes_list], dim=0))
2025-11-03T16:47:19.2553882Z 
2025-11-03T16:47:20.5961671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:20.5962272Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:47:20.5962772Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:47:20.5963351Z 
2025-11-03T16:47:21.0646553Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:21.0647293Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 300, in torch_dynamo_resume_in_inference_single_image_at_297
2025-11-03T16:47:21.0647920Z     return pred[keep[: self.max_detections_per_image]]
2025-11-03T16:47:21.0648392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 141, in __getitem__
2025-11-03T16:47:21.0648850Z     ret.set(k, v[item])
2025-11-03T16:47:21.0649251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__
2025-11-03T16:47:21.0649674Z     b = self.tensor[item]
2025-11-03T16:47:21.0649805Z 
2025-11-03T16:47:23.7242430Z cudagraph partition due to non gpu ops
2025-11-03T16:47:23.7242837Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:23.7243498Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:23.7244148Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:47:23.7244326Z 
2025-11-03T16:47:23.7244453Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:23.7245415Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 224, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:23.7245993Z     topk_idxs = topk_idxs[idxs]
2025-11-03T16:47:23.7246139Z 
2025-11-03T16:47:23.7246254Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:23.7246833Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 228, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:23.7247410Z     pred_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:47:23.7247872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas
2025-11-03T16:47:23.7248387Z     strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1)
2025-11-03T16:47:23.7248608Z 
2025-11-03T16:47:23.7248722Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:23.7249309Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 223, in torch_dynamo_resume_in__decode_per_level_predictions_at_214
2025-11-03T16:47:23.7249890Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:47:23.7250057Z 
2025-11-03T16:47:25.2637650Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2638062Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2638312Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2638554Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2638789Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2639063Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2639304Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2639927Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2640173Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2640398Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2640632Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2640874Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2641205Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2641425Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2641652Z cudagraph partition due to non gpu ops
2025-11-03T16:47:25.2641921Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:25.2642577Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247
2025-11-03T16:47:25.2643264Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:47:25.2643847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat
2025-11-03T16:47:25.2644264Z     values = torch.cat(values, dim=0)
2025-11-03T16:47:25.2644458Z 
2025-11-03T16:47:25.2644590Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:25.2645238Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247
2025-11-03T16:47:25.2645906Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:47:25.2646438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat
2025-11-03T16:47:25.2646854Z     values = torch.cat(values, dim=0)
2025-11-03T16:47:25.2647012Z 
2025-11-03T16:47:25.2647136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:25.2647761Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 259, in torch_dynamo_resume_in__decode_multi_level_predictions_at_247
2025-11-03T16:47:25.2648425Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:47:25.2648981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 180, in cat
2025-11-03T16:47:25.2649376Z     values = type(v0).cat(values)
2025-11-03T16:47:25.2649753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 295, in cat
2025-11-03T16:47:25.2650186Z     cat_boxes = cls(torch.cat([b.tensor for b in boxes_list], dim=0))
2025-11-03T16:47:25.2650380Z 
2025-11-03T16:47:26.4886864Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:26.4887769Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 300, in torch_dynamo_resume_in_inference_single_image_at_297
2025-11-03T16:47:26.4888529Z     return pred[keep[: self.max_detections_per_image]]
2025-11-03T16:47:26.4889158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 141, in __getitem__
2025-11-03T16:47:26.4890067Z     ret.set(k, v[item])
2025-11-03T16:47:26.4890575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__
2025-11-03T16:47:26.4891043Z     b = self.tensor[item]
2025-11-03T16:47:26.4891181Z 
2025-11-03T16:47:28.6546165Z cudagraph partition due to non gpu ops
2025-11-03T16:47:28.6546555Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:28.6547126Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:47:28.6547675Z     output_boxes.clip(results.image_size)
2025-11-03T16:47:28.6548146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:47:28.6549021Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:47:28.6549295Z 
2025-11-03T16:47:28.6549393Z cudagraph partition due to non gpu ops
2025-11-03T16:47:28.6549643Z cudagraph partition due to non gpu ops
2025-11-03T16:47:28.6549926Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:28.6550530Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:47:28.6551019Z     output_boxes.clip(results.image_size)
2025-11-03T16:47:28.6551443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:47:28.6551883Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:47:28.6552058Z 
2025-11-03T16:47:28.6552250Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:28.6552757Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:47:28.6553246Z     results = results[output_boxes.nonempty()]
2025-11-03T16:47:28.6553681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:47:28.6554125Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:47:28.6554301Z 
2025-11-03T16:47:30.1857059Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:30.1857669Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:47:30.1858168Z     results = results[output_boxes.nonempty()]
2025-11-03T16:47:30.1858332Z 
2025-11-03T16:47:30.1858463Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:30.1859011Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:47:30.1859529Z     results = results[output_boxes.nonempty()]
2025-11-03T16:47:30.1859692Z 
2025-11-03T16:47:30.1859785Z cudagraph partition due to non gpu ops
2025-11-03T16:47:30.1860061Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:30.1860944Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:47:30.1861437Z     output_boxes.clip(results.image_size)
2025-11-03T16:47:30.1861861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:47:30.1862377Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:47:30.1862630Z 
2025-11-03T16:47:30.1862734Z cudagraph partition due to non gpu ops
2025-11-03T16:47:30.1862982Z cudagraph partition due to non gpu ops
2025-11-03T16:47:30.1863268Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:30.1863787Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:47:30.1864280Z     output_boxes.clip(results.image_size)
2025-11-03T16:47:30.1864785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:47:30.1865217Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:47:30.1865398Z 
2025-11-03T16:47:30.1865514Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:30.1866007Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:47:30.1866491Z     results = results[output_boxes.nonempty()]
2025-11-03T16:47:30.1866906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:47:30.1867334Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:47:30.1867511Z 
2025-11-03T16:47:31.2690100Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:31.2690731Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:47:31.2691256Z     results = results[output_boxes.nonempty()]
2025-11-03T16:47:31.2691507Z 
2025-11-03T16:47:31.2691638Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:31.2692157Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:47:31.2692651Z     results = results[output_boxes.nonempty()]
2025-11-03T16:47:31.2692826Z 
2025-11-03T16:47:31.2692921Z cudagraph partition due to non gpu ops
2025-11-03T16:47:31.2693192Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:31.2693734Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:47:31.2694227Z     output_boxes.clip(results.image_size)
2025-11-03T16:47:31.2694626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:47:31.2695123Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:47:31.2695380Z 
2025-11-03T16:47:31.2695479Z cudagraph partition due to non gpu ops
2025-11-03T16:47:31.2695720Z cudagraph partition due to non gpu ops
2025-11-03T16:47:31.2695980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:31.2696487Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:47:31.2696954Z     output_boxes.clip(results.image_size)
2025-11-03T16:47:31.2697351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:47:31.2697772Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:47:31.2697954Z 
2025-11-03T16:47:31.2698068Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:31.2698565Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:47:31.2699098Z     results = results[output_boxes.nonempty()]
2025-11-03T16:47:31.2699513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:47:31.2699950Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:47:31.2700128Z 
2025-11-03T16:47:33.4902402Z Compilation time (from dynamo_timed): 57.974904887
2025-11-03T16:47:33.4903501Z pass
2025-11-03T16:47:33.4904383Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:47:33.4905768Z TIMING: gc:0.03441 entire_frame_compile:57.9749 _recursive_pre_grad_passes:0.02641 _recursive_joint_graph_passes:0.39167 _recursive_post_grad_passes:0.6061 async_compile.wait:7.38086 code_gen:24.98731 inductor_compile:30.38722 backend_compile:40.17656 total_wall_time:57.9749
2025-11-03T16:47:33.4907104Z STATS: call_* op count: 971 | FakeTensorMode.__torch_dispatch__:20127 | FakeTensor.__torch_dispatch__:12386 | ProxyTorchDispatchMode.__torch_dispatch__:5851 | attempt fast:51 | slow no contiguity match:40 | fast is_contiguous:11
2025-11-03T16:47:33.4907845Z Dynamo produced 29 graphs covering 971 ops with 24 graph breaks (4 unique)
2025-11-03T16:47:37.0580343Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:47:37.0581263Z   import pynvml  # type: ignore[import]
2025-11-03T16:47:39.3905983Z 
2025-11-03T16:47:44.4939334Z loading model: 0it [00:00, ?it/s]W1103 16:47:44.492000 22119 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:47:53.1001094Z 
2025-11-03T16:47:53.1001920Z loading model: 0it [00:13, ?it/s]
2025-11-03T16:47:53.1003764Z Traceback (most recent call last):
2025-11-03T16:47:53.1004375Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 486, in <module>
2025-11-03T16:47:53.1006597Z     torchbench_main()
2025-11-03T16:47:53.1007178Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in torchbench_main
2025-11-03T16:47:53.1007721Z     main(TorchBenchmarkRunner(), original_dir)
2025-11-03T16:47:53.1008136Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3716, in main
2025-11-03T16:47:53.1008835Z     process_entry(0, runner, original_dir, args)
2025-11-03T16:47:53.1009278Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3641, in process_entry
2025-11-03T16:47:53.1014113Z     result = run(runner, args, original_dir)
2025-11-03T16:47:53.1014698Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4324, in run
2025-11-03T16:47:53.1022530Z     assert marked, f"nothing in example_inputs had a dim with {batch_size}"
2025-11-03T16:47:53.1024201Z AssertionError: nothing in example_inputs had a dim with 4
2025-11-03T16:47:54.1319064Z Run failed with return code:  1
2025-11-03T16:47:54.1323516Z Output:  None
2025-11-03T16:47:54.1328055Z Error:  None
2025-11-03T16:47:54.4282260Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:47:54.4283894Z   import pynvml  # type: ignore[import]
2025-11-03T16:47:56.7761948Z 
2025-11-03T16:48:02.9015831Z loading model: 0it [00:00, ?it/s]W1103 16:48:02.900000 22215 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:48:04.4963175Z 
2025-11-03T16:48:04.4963748Z loading model: 0it [00:07, ?it/s]
2025-11-03T16:48:04.4964074Z Traceback (most recent call last):
2025-11-03T16:48:04.4964474Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 486, in <module>
2025-11-03T16:48:04.4965911Z     torchbench_main()
2025-11-03T16:48:04.4966319Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in torchbench_main
2025-11-03T16:48:04.4972530Z     main(TorchBenchmarkRunner(), original_dir)
2025-11-03T16:48:04.4973007Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3716, in main
2025-11-03T16:48:04.4973406Z     process_entry(0, runner, original_dir, args)
2025-11-03T16:48:04.4973805Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3641, in process_entry
2025-11-03T16:48:04.4974624Z     result = run(runner, args, original_dir)
2025-11-03T16:48:04.4974996Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4324, in run
2025-11-03T16:48:04.4981764Z     assert marked, f"nothing in example_inputs had a dim with {batch_size}"
2025-11-03T16:48:04.4983426Z AssertionError: nothing in example_inputs had a dim with 4
2025-11-03T16:48:05.5826400Z Run failed with return code:  1
2025-11-03T16:48:05.5826709Z Output:  None
2025-11-03T16:48:05.5826886Z Error:  None
2025-11-03T16:48:05.8835375Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:48:05.8837017Z   import pynvml  # type: ignore[import]
2025-11-03T16:48:08.2647692Z 
2025-11-03T16:48:12.2093734Z loading model: 0it [00:00, ?it/s]W1103 16:48:12.208000 22311 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:48:21.2842067Z 
2025-11-03T16:48:21.2843054Z loading model: 0it [00:13, ?it/s]
2025-11-03T16:48:21.2843568Z Traceback (most recent call last):
2025-11-03T16:48:21.2844588Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 486, in <module>
2025-11-03T16:48:21.2851982Z     torchbench_main()
2025-11-03T16:48:21.2852398Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in torchbench_main
2025-11-03T16:48:21.2853230Z     main(TorchBenchmarkRunner(), original_dir)
2025-11-03T16:48:21.2853619Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3716, in main
2025-11-03T16:48:21.2854008Z     process_entry(0, runner, original_dir, args)
2025-11-03T16:48:21.2854403Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3641, in process_entry
2025-11-03T16:48:21.2854795Z     result = run(runner, args, original_dir)
2025-11-03T16:48:21.2855141Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4324, in run
2025-11-03T16:48:21.2861001Z     assert marked, f"nothing in example_inputs had a dim with {batch_size}"
2025-11-03T16:48:21.2861424Z AssertionError: nothing in example_inputs had a dim with 4
2025-11-03T16:48:22.3015645Z Run failed with return code:  1
2025-11-03T16:48:22.3015957Z Output:  None
2025-11-03T16:48:22.3016210Z Error:  None
2025-11-03T16:48:22.6255197Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:48:22.6256661Z   import pynvml  # type: ignore[import]
2025-11-03T16:48:24.9300629Z 
2025-11-03T16:48:29.7033471Z loading model: 0it [00:00, ?it/s]W1103 16:48:29.701000 22407 site-packages/torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-11-03T16:48:31.1998929Z 
2025-11-03T16:48:31.1999382Z loading model: 0it [00:06, ?it/s]
2025-11-03T16:48:31.1999905Z Traceback (most recent call last):
2025-11-03T16:48:31.2000425Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 486, in <module>
2025-11-03T16:48:31.2003787Z     torchbench_main()
2025-11-03T16:48:31.2004901Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in torchbench_main
2025-11-03T16:48:31.2005453Z     main(TorchBenchmarkRunner(), original_dir)
2025-11-03T16:48:31.2005820Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3716, in main
2025-11-03T16:48:31.2006367Z     process_entry(0, runner, original_dir, args)
2025-11-03T16:48:31.2006783Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3641, in process_entry
2025-11-03T16:48:31.2012024Z     result = run(runner, args, original_dir)
2025-11-03T16:48:31.2012374Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4324, in run
2025-11-03T16:48:31.2012783Z     assert marked, f"nothing in example_inputs had a dim with {batch_size}"
2025-11-03T16:48:31.2013130Z AssertionError: nothing in example_inputs had a dim with 4
2025-11-03T16:48:32.1969693Z Run failed with return code:  1
2025-11-03T16:48:32.1969999Z Output:  None
2025-11-03T16:48:32.1970213Z Error:  None
2025-11-03T16:48:32.5131539Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:48:32.5132464Z   import pynvml  # type: ignore[import]
2025-11-03T16:48:34.8462407Z 
2025-11-03T16:48:40.7810003Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:48:40.7810559Z loading model: 0it [00:05, ?it/s]
2025-11-03T16:48:40.7811442Z cpu  eval  dlrm                               
2025-11-03T16:48:41.3836583Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:48:41.5801331Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:48:41.7683609Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:48:44.1619363Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1620271Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1620629Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1620869Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1623039Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1623686Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1624033Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1624281Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1624550Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1625290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1625690Z     return mod(*inputs)
2025-11-03T16:48:44.1626033Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1626454Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1626887Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-11-03T16:48:44.1627286Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-11-03T16:48:44.1627655Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1628005Z     return layers(x)
2025-11-03T16:48:44.1628124Z 
2025-11-03T16:48:44.1628558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1628994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1629372Z     return mod(*inputs)
2025-11-03T16:48:44.1629689Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1630127Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1630527Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:48:44.1630921Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:48:44.1631342Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:48:44.1631778Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:48:44.1631978Z 
2025-11-03T16:48:44.1632101Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1632512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1632858Z     return mod(*inputs)
2025-11-03T16:48:44.1633168Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1633538Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1633937Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:48:44.1634325Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:48:44.1634664Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:48:44.1635040Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:48:44.1635286Z 
2025-11-03T16:48:44.1635405Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1635803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1636177Z     return mod(*inputs)
2025-11-03T16:48:44.1636558Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1636932Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1637328Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:48:44.1637713Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:48:44.1638059Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:48:44.1638456Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:48:44.1638714Z 
2025-11-03T16:48:44.1638840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1639251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1639618Z     return mod(*inputs)
2025-11-03T16:48:44.1639939Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1640322Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1640726Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:48:44.1641117Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:48:44.1641475Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:48:44.1641873Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:48:44.1642065Z 
2025-11-03T16:48:44.1642186Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1642603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1642975Z     return mod(*inputs)
2025-11-03T16:48:44.1643290Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1643668Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1644100Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:48:44.1644483Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:48:44.1644837Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:48:44.1645235Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:48:44.1645423Z 
2025-11-03T16:48:44.1645538Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1645940Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1646304Z     return mod(*inputs)
2025-11-03T16:48:44.1646605Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1646984Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1647382Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:48:44.1647767Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:48:44.1648120Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:48:44.1648503Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:48:44.1648692Z 
2025-11-03T16:48:44.1648808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1649206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1649583Z     return mod(*inputs)
2025-11-03T16:48:44.1649887Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1650290Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1650691Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:48:44.1651071Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:48:44.1651425Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:48:44.1651830Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:48:44.1652021Z 
2025-11-03T16:48:44.1652141Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1652544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1652925Z     return mod(*inputs)
2025-11-03T16:48:44.1653225Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1653630Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1654030Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:48:44.1654407Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:48:44.1654754Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:48:44.1655144Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:48:44.1655335Z 
2025-11-03T16:48:44.1655451Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1655852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1656206Z     return mod(*inputs)
2025-11-03T16:48:44.1656503Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1656877Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1657279Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-11-03T16:48:44.1657650Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-11-03T16:48:44.1657996Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1658333Z     return layers(x)
2025-11-03T16:48:44.1658455Z 
2025-11-03T16:48:44.1658566Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1658984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1659330Z     return mod(*inputs)
2025-11-03T16:48:44.1659619Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1659979Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1660360Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-11-03T16:48:44.1660735Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-11-03T16:48:44.1661088Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1661451Z     return layers(x)
2025-11-03T16:48:44.1661577Z 
2025-11-03T16:48:44.1661670Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1661916Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1662154Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1662388Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1662625Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1662854Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1663082Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1663308Z cudagraph partition due to non gpu ops
2025-11-03T16:48:44.1663570Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1663974Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1664333Z     return mod(*inputs)
2025-11-03T16:48:44.1664742Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1665197Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1665606Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-11-03T16:48:44.1665989Z     z = self.interact_features(x, ly)
2025-11-03T16:48:44.1666363Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 318, in interact_features
2025-11-03T16:48:44.1666793Z     T = torch.cat([x] + ly, dim=1).view((batch_size, -1, d))
2025-11-03T16:48:44.1666982Z 
2025-11-03T16:48:44.1667096Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1667492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1667848Z     return mod(*inputs)
2025-11-03T16:48:44.1668145Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1668531Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1668931Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-11-03T16:48:44.1669304Z     z = self.interact_features(x, ly)
2025-11-03T16:48:44.1669655Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 320, in interact_features
2025-11-03T16:48:44.1670029Z     Z = torch.bmm(T, torch.transpose(T, 1, 2))
2025-11-03T16:48:44.1670193Z 
2025-11-03T16:48:44.1670305Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1670695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1671043Z     return mod(*inputs)
2025-11-03T16:48:44.1671335Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1671703Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1672098Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-11-03T16:48:44.1672469Z     z = self.interact_features(x, ly)
2025-11-03T16:48:44.1672859Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 337, in interact_features
2025-11-03T16:48:44.1673225Z     Zflat = Z[:, li, lj]
2025-11-03T16:48:44.1673351Z 
2025-11-03T16:48:44.1673466Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1673883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1674258Z     return mod(*inputs)
2025-11-03T16:48:44.1674548Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1674925Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1675315Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-11-03T16:48:44.1675678Z     z = self.interact_features(x, ly)
2025-11-03T16:48:44.1676033Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 339, in interact_features
2025-11-03T16:48:44.1676406Z     R = torch.cat([x] + [Zflat], dim=1)
2025-11-03T16:48:44.1676560Z 
2025-11-03T16:48:44.1676676Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1677074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1677443Z     return mod(*inputs)
2025-11-03T16:48:44.1677743Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1678117Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1678517Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:48:44.1678893Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:48:44.1679232Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1679576Z     return layers(x)
2025-11-03T16:48:44.1679701Z 
2025-11-03T16:48:44.1679815Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1680242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1680598Z     return mod(*inputs)
2025-11-03T16:48:44.1680894Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1681258Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1681696Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:48:44.1682053Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:48:44.1682376Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1682701Z     return layers(x)
2025-11-03T16:48:44.1682818Z 
2025-11-03T16:48:44.1682928Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1683309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1683694Z     return mod(*inputs)
2025-11-03T16:48:44.1683998Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1684363Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1684747Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:48:44.1685117Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:48:44.1685451Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1685782Z     return layers(x)
2025-11-03T16:48:44.1685899Z 
2025-11-03T16:48:44.1686008Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1686929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1687286Z     return mod(*inputs)
2025-11-03T16:48:44.1687585Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1687965Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1688352Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:48:44.1688725Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:48:44.1689136Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1689475Z     return layers(x)
2025-11-03T16:48:44.1689588Z 
2025-11-03T16:48:44.1689698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1690084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1690430Z     return mod(*inputs)
2025-11-03T16:48:44.1690718Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1691081Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1691472Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:48:44.1691840Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:48:44.1692165Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1692494Z     return layers(x)
2025-11-03T16:48:44.1692610Z 
2025-11-03T16:48:44.1692724Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1693111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1693461Z     return mod(*inputs)
2025-11-03T16:48:44.1693753Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1694110Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1694496Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:48:44.1694860Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:48:44.1695186Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1695612Z     return layers(x)
2025-11-03T16:48:44.1695729Z 
2025-11-03T16:48:44.1695838Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1696219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1696571Z     return mod(*inputs)
2025-11-03T16:48:44.1696894Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1697255Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1697642Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:48:44.1698004Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:48:44.1698337Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1698668Z     return layers(x)
2025-11-03T16:48:44.1698820Z 
2025-11-03T16:48:44.1698934Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:44.1699333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:48:44.1699688Z     return mod(*inputs)
2025-11-03T16:48:44.1700008Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:48:44.1700395Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:48:44.1700799Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:48:44.1701187Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:48:44.1701532Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:48:44.1701887Z     return layers(x)
2025-11-03T16:48:44.1702006Z 
2025-11-03T16:48:52.9868605Z Compilation time (from dynamo_timed): 10.569431109
2025-11-03T16:48:52.9868934Z pass
2025-11-03T16:48:52.9872332Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:48:52.9873224Z TIMING: _recursive_pre_grad_passes:0.0043 _recursive_joint_graph_passes:0.3545 _recursive_post_grad_passes:0.01873 async_compile.wait:0.55434 code_gen:8.68717 inductor_compile:8.85768 backend_compile:10.07246 gc:0.00052 entire_frame_compile:10.56943 total_wall_time:10.56943
2025-11-03T16:48:52.9874554Z STATS: call_* op count: 36 | FakeTensorMode.__torch_dispatch__:1197 | FakeTensor.__torch_dispatch__:365 | ProxyTorchDispatchMode.__torch_dispatch__:192
2025-11-03T16:48:52.9875116Z Dynamo produced 1 graphs covering 36 ops with 0 graph breaks (0 unique)
2025-11-03T16:48:54.6578960Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:48:54.6580448Z   import pynvml  # type: ignore[import]
2025-11-03T16:48:56.9848957Z 
2025-11-03T16:48:58.1556587Z 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
2025-11-03T16:48:58.4859786Z 
2025-11-03T16:48:58.4860201Z 
2025-11-03T16:48:58.5941438Z   0% 0/102021912 [00:00<?, ?it/s]
2025-11-03T16:48:58.5941694Z 
2025-11-03T16:48:58.6941323Z  33% 33766400/102021912 [00:00<00:00, 312810563.30it/s]
2025-11-03T16:48:58.6941566Z 
2025-11-03T16:48:58.7998638Z  68% 69796864/102021912 [00:00<00:00, 339859244.04it/s]
2025-11-03T16:48:58.7998987Z 102022144it [00:00, 325191896.39it/s]                  
2025-11-03T16:48:59.8801685Z 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
2025-11-03T16:49:00.2019957Z 
2025-11-03T16:49:00.2020376Z 
2025-11-03T16:49:00.3024068Z   0% 0/63303144 [00:00<?, ?it/s]
2025-11-03T16:49:00.3024303Z 
2025-11-03T16:49:00.3493783Z  61% 38499328/63303144 [00:00<00:00, 384978961.36it/s]
2025-11-03T16:49:00.3494146Z 63303680it [00:00, 430162639.74it/s]                  
2025-11-03T16:49:02.9960527Z 
2025-11-03T16:49:02.9961500Z loading model: 0it [00:06, ?it/s]
2025-11-03T16:49:02.9979004Z cpu  eval  doctr_det_predictor                
2025-11-03T16:49:20.0078022Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:49:23.6278704Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:49:27.1968244Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:49:43.1206994Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1209446Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1209952Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1210602Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1210894Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1211149Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1211389Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1211628Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1211860Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1212098Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1212342Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1212577Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1212808Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1213046Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1213281Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1213519Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1213752Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1213992Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1214232Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1214467Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1214715Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1214956Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1215192Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1215418Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1215755Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1216367Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1216880Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1217295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1217693Z     x = module(x)
2025-11-03T16:49:43.1217806Z 
2025-11-03T16:49:43.1217930Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1218480Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1218980Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1219369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1219751Z     x = module(x)
2025-11-03T16:49:43.1219858Z 
2025-11-03T16:49:43.1219977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1220522Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1221013Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1221397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1221781Z     x = module(x)
2025-11-03T16:49:43.1221893Z 
2025-11-03T16:49:43.1222011Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1222603Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1223177Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1223610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1224105Z     x = module(x)
2025-11-03T16:49:43.1224461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1225011Z     out = self.conv1(x)
2025-11-03T16:49:43.1225136Z 
2025-11-03T16:49:43.1225263Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1225824Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1226328Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1226768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1227160Z     x = module(x)
2025-11-03T16:49:43.1227510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1227909Z     out = self.relu(out)
2025-11-03T16:49:43.1228032Z 
2025-11-03T16:49:43.1228149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1228683Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1229180Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1229574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1229965Z     x = module(x)
2025-11-03T16:49:43.1230320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1230707Z     out = self.conv2(out)
2025-11-03T16:49:43.1230828Z 
2025-11-03T16:49:43.1230954Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1231469Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1231980Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1232393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1232784Z     x = module(x)
2025-11-03T16:49:43.1233142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1233550Z     out = self.relu(out)
2025-11-03T16:49:43.1233670Z 
2025-11-03T16:49:43.1233785Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1234329Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1234831Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1235225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1235610Z     x = module(x)
2025-11-03T16:49:43.1235957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1236345Z     out = self.conv3(out)
2025-11-03T16:49:43.1236466Z 
2025-11-03T16:49:43.1236589Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1237247Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1237726Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1238103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1238474Z     x = module(x)
2025-11-03T16:49:43.1238845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-11-03T16:49:43.1239262Z     identity = self.downsample(x)
2025-11-03T16:49:43.1239405Z 
2025-11-03T16:49:43.1239525Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1240047Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1240566Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1240940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1241309Z     x = module(x)
2025-11-03T16:49:43.1241647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1242026Z     out = self.conv1(x)
2025-11-03T16:49:43.1242169Z 
2025-11-03T16:49:43.1242291Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1242831Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1243309Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1243697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1244069Z     x = module(x)
2025-11-03T16:49:43.1244415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1244798Z     out = self.relu(out)
2025-11-03T16:49:43.1244918Z 
2025-11-03T16:49:43.1245033Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1245553Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1246120Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1246492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1246855Z     x = module(x)
2025-11-03T16:49:43.1247194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1247574Z     out = self.conv2(out)
2025-11-03T16:49:43.1247716Z 
2025-11-03T16:49:43.1247840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1248363Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1248838Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1249215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1249587Z     x = module(x)
2025-11-03T16:49:43.1249934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1250313Z     out = self.relu(out)
2025-11-03T16:49:43.1250433Z 
2025-11-03T16:49:43.1250549Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1251072Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1251561Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1251935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1252301Z     x = module(x)
2025-11-03T16:49:43.1252650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1253035Z     out = self.conv3(out)
2025-11-03T16:49:43.1253155Z 
2025-11-03T16:49:43.1253278Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1253803Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1254307Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1254688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1255060Z     x = module(x)
2025-11-03T16:49:43.1255407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1255812Z     out = self.relu(out)
2025-11-03T16:49:43.1255930Z 
2025-11-03T16:49:43.1256045Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1256590Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1257099Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1257473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1257856Z     x = module(x)
2025-11-03T16:49:43.1258201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1258600Z     out = self.conv1(x)
2025-11-03T16:49:43.1258717Z 
2025-11-03T16:49:43.1258838Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1259380Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1259853Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1260231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1260621Z     x = module(x)
2025-11-03T16:49:43.1260964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1261338Z     out = self.relu(out)
2025-11-03T16:49:43.1261463Z 
2025-11-03T16:49:43.1261577Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1262119Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1262598Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1262990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1263355Z     x = module(x)
2025-11-03T16:49:43.1263700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1264099Z     out = self.conv2(out)
2025-11-03T16:49:43.1264221Z 
2025-11-03T16:49:43.1264342Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1265095Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1265584Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1265967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1266346Z     x = module(x)
2025-11-03T16:49:43.1266692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1267070Z     out = self.relu(out)
2025-11-03T16:49:43.1267200Z 
2025-11-03T16:49:43.1267317Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1267839Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1268325Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1268706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1269070Z     x = module(x)
2025-11-03T16:49:43.1269420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1269865Z     out = self.conv3(out)
2025-11-03T16:49:43.1269988Z 
2025-11-03T16:49:43.1270110Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1270630Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1271119Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1271491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1271859Z     x = module(x)
2025-11-03T16:49:43.1272201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1272571Z     out = self.relu(out)
2025-11-03T16:49:43.1272696Z 
2025-11-03T16:49:43.1272812Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1273347Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1273823Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1274189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1274544Z     x = module(x)
2025-11-03T16:49:43.1274882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1275249Z     out = self.conv1(x)
2025-11-03T16:49:43.1275363Z 
2025-11-03T16:49:43.1275480Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1275978Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1276450Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1276818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1277178Z     x = module(x)
2025-11-03T16:49:43.1277512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1277877Z     out = self.relu(out)
2025-11-03T16:49:43.1277999Z 
2025-11-03T16:49:43.1278136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1278659Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1279134Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1279497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1279862Z     x = module(x)
2025-11-03T16:49:43.1280198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1280572Z     out = self.conv2(out)
2025-11-03T16:49:43.1280689Z 
2025-11-03T16:49:43.1280810Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1281305Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1281788Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1282160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1282523Z     x = module(x)
2025-11-03T16:49:43.1282860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1283222Z     out = self.relu(out)
2025-11-03T16:49:43.1283345Z 
2025-11-03T16:49:43.1283455Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1283968Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1284439Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1284832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1285187Z     x = module(x)
2025-11-03T16:49:43.1285517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1285909Z     out = self.conv3(out)
2025-11-03T16:49:43.1286023Z 
2025-11-03T16:49:43.1286466Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1286973Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1287455Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1287834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1288289Z     x = module(x)
2025-11-03T16:49:43.1288627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-11-03T16:49:43.1289001Z     identity = self.downsample(x)
2025-11-03T16:49:43.1289148Z 
2025-11-03T16:49:43.1289261Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1289771Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1290256Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1290630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1290991Z     x = module(x)
2025-11-03T16:49:43.1291334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1291717Z     out = self.conv1(x)
2025-11-03T16:49:43.1291831Z 
2025-11-03T16:49:43.1291953Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1292477Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1292954Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1293368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1293742Z     x = module(x)
2025-11-03T16:49:43.1294073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1294455Z     out = self.relu(out)
2025-11-03T16:49:43.1294582Z 
2025-11-03T16:49:43.1294690Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1295204Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1295683Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1296052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1296425Z     x = module(x)
2025-11-03T16:49:43.1296762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1297133Z     out = self.conv2(out)
2025-11-03T16:49:43.1297248Z 
2025-11-03T16:49:43.1297370Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1297868Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1298344Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1298703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1299074Z     x = module(x)
2025-11-03T16:49:43.1299401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1299764Z     out = self.relu(out)
2025-11-03T16:49:43.1299885Z 
2025-11-03T16:49:43.1300031Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1300553Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1301043Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1301449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1301829Z     x = module(x)
2025-11-03T16:49:43.1302170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1302549Z     out = self.conv3(out)
2025-11-03T16:49:43.1302667Z 
2025-11-03T16:49:43.1302788Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1303306Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1303823Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1304200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1304685Z     x = module(x)
2025-11-03T16:49:43.1305071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1305455Z     out = self.relu(out)
2025-11-03T16:49:43.1305579Z 
2025-11-03T16:49:43.1305694Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1306221Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1306716Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1307079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1307453Z     x = module(x)
2025-11-03T16:49:43.1307803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1308183Z     out = self.conv1(x)
2025-11-03T16:49:43.1308301Z 
2025-11-03T16:49:43.1308423Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1308958Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1309451Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1309829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1310199Z     x = module(x)
2025-11-03T16:49:43.1310536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1310923Z     out = self.relu(out)
2025-11-03T16:49:43.1311050Z 
2025-11-03T16:49:43.1311163Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1311686Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1312175Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1312548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1312924Z     x = module(x)
2025-11-03T16:49:43.1313262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1313643Z     out = self.conv2(out)
2025-11-03T16:49:43.1313761Z 
2025-11-03T16:49:43.1313881Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1314399Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1314889Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1315290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1315668Z     x = module(x)
2025-11-03T16:49:43.1316002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1316387Z     out = self.relu(out)
2025-11-03T16:49:43.1316532Z 
2025-11-03T16:49:43.1316643Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1317145Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1317614Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1317968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1318326Z     x = module(x)
2025-11-03T16:49:43.1318658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1319047Z     out = self.conv3(out)
2025-11-03T16:49:43.1319163Z 
2025-11-03T16:49:43.1319280Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1319789Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1320263Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1320627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1320984Z     x = module(x)
2025-11-03T16:49:43.1321307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1321686Z     out = self.relu(out)
2025-11-03T16:49:43.1321810Z 
2025-11-03T16:49:43.1321920Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1322429Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1322900Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1323259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1323630Z     x = module(x)
2025-11-03T16:49:43.1324007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1324375Z     out = self.conv1(x)
2025-11-03T16:49:43.1324485Z 
2025-11-03T16:49:43.1324594Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1325109Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1325577Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1325935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1326296Z     x = module(x)
2025-11-03T16:49:43.1326622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1326991Z     out = self.relu(out)
2025-11-03T16:49:43.1327111Z 
2025-11-03T16:49:43.1327223Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1327733Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1328205Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1328565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1328938Z     x = module(x)
2025-11-03T16:49:43.1329309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1329682Z     out = self.conv2(out)
2025-11-03T16:49:43.1329797Z 
2025-11-03T16:49:43.1329908Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1330438Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1330912Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1331277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1331676Z     x = module(x)
2025-11-03T16:49:43.1332010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1332391Z     out = self.relu(out)
2025-11-03T16:49:43.1332514Z 
2025-11-03T16:49:43.1332624Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1333131Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1333637Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1334003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1334365Z     x = module(x)
2025-11-03T16:49:43.1334703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1335090Z     out = self.conv3(out)
2025-11-03T16:49:43.1335204Z 
2025-11-03T16:49:43.1335314Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1335817Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1336288Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1336652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1337017Z     x = module(x)
2025-11-03T16:49:43.1337350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1337719Z     out = self.relu(out)
2025-11-03T16:49:43.1337839Z 
2025-11-03T16:49:43.1337949Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1338474Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1338945Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1339310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1339676Z     x = module(x)
2025-11-03T16:49:43.1340011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1340391Z     out = self.conv1(x)
2025-11-03T16:49:43.1340502Z 
2025-11-03T16:49:43.1340613Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1341136Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1341613Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1341980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1342354Z     x = module(x)
2025-11-03T16:49:43.1342683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1343056Z     out = self.relu(out)
2025-11-03T16:49:43.1343167Z 
2025-11-03T16:49:43.1343289Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1343809Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1344298Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1344861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1345297Z     x = module(x)
2025-11-03T16:49:43.1345724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1346116Z     out = self.conv2(out)
2025-11-03T16:49:43.1346239Z 
2025-11-03T16:49:43.1346358Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1346903Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1347390Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1347762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1348143Z     x = module(x)
2025-11-03T16:49:43.1348481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1348889Z     out = self.relu(out)
2025-11-03T16:49:43.1349004Z 
2025-11-03T16:49:43.1349128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1349641Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1350114Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1350489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1350859Z     x = module(x)
2025-11-03T16:49:43.1351201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1351577Z     out = self.conv3(out)
2025-11-03T16:49:43.1351694Z 
2025-11-03T16:49:43.1351807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1352326Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1352818Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1353191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1353552Z     x = module(x)
2025-11-03T16:49:43.1353917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-11-03T16:49:43.1354312Z     identity = self.downsample(x)
2025-11-03T16:49:43.1354453Z 
2025-11-03T16:49:43.1354574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1355087Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1355559Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1355932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1356303Z     x = module(x)
2025-11-03T16:49:43.1356646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1357023Z     out = self.conv1(x)
2025-11-03T16:49:43.1357136Z 
2025-11-03T16:49:43.1357247Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1357761Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1358244Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1358616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1358986Z     x = module(x)
2025-11-03T16:49:43.1359331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1359711Z     out = self.relu(out)
2025-11-03T16:49:43.1359826Z 
2025-11-03T16:49:43.1359950Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1360492Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1360985Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1361361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1361758Z     x = module(x)
2025-11-03T16:49:43.1362103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1362484Z     out = self.conv2(out)
2025-11-03T16:49:43.1362611Z 
2025-11-03T16:49:43.1362725Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1363242Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1363733Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1364130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1364490Z     x = module(x)
2025-11-03T16:49:43.1364833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1365213Z     out = self.relu(out)
2025-11-03T16:49:43.1365332Z 
2025-11-03T16:49:43.1365468Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1365988Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1366461Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1366831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1367209Z     x = module(x)
2025-11-03T16:49:43.1367553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1367913Z     out = self.conv3(out)
2025-11-03T16:49:43.1368036Z 
2025-11-03T16:49:43.1368147Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1368644Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1369138Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1369506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1369859Z     x = module(x)
2025-11-03T16:49:43.1370190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1370563Z     out = self.relu(out)
2025-11-03T16:49:43.1370709Z 
2025-11-03T16:49:43.1370827Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1371333Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1371802Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1372165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1372525Z     x = module(x)
2025-11-03T16:49:43.1372861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1373226Z     out = self.conv1(x)
2025-11-03T16:49:43.1373346Z 
2025-11-03T16:49:43.1373461Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1373966Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1374435Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1374796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1375152Z     x = module(x)
2025-11-03T16:49:43.1375506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1375878Z     out = self.relu(out)
2025-11-03T16:49:43.1375996Z 
2025-11-03T16:49:43.1376114Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1376617Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1377106Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1377469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1377828Z     x = module(x)
2025-11-03T16:49:43.1378162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1378525Z     out = self.conv2(out)
2025-11-03T16:49:43.1378688Z 
2025-11-03T16:49:43.1378799Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1379311Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1379778Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1380143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1380497Z     x = module(x)
2025-11-03T16:49:43.1380828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1381206Z     out = self.relu(out)
2025-11-03T16:49:43.1381317Z 
2025-11-03T16:49:43.1381434Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1381937Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1382414Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1382779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1383140Z     x = module(x)
2025-11-03T16:49:43.1383470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1383853Z     out = self.conv3(out)
2025-11-03T16:49:43.1383981Z 
2025-11-03T16:49:43.1384092Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1384698Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1385196Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1385576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1385962Z     x = module(x)
2025-11-03T16:49:43.1386457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1386856Z     out = self.relu(out)
2025-11-03T16:49:43.1386980Z 
2025-11-03T16:49:43.1387104Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1387633Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1388124Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1388498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1388881Z     x = module(x)
2025-11-03T16:49:43.1389230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1389603Z     out = self.conv1(x)
2025-11-03T16:49:43.1389727Z 
2025-11-03T16:49:43.1389840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1390358Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1390904Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1391287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1391655Z     x = module(x)
2025-11-03T16:49:43.1392005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1392424Z     out = self.relu(out)
2025-11-03T16:49:43.1392542Z 
2025-11-03T16:49:43.1392664Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1393174Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1393668Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1394044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1394455Z     x = module(x)
2025-11-03T16:49:43.1394804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1395181Z     out = self.conv2(out)
2025-11-03T16:49:43.1395306Z 
2025-11-03T16:49:43.1395423Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1395944Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1396430Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1396802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1397176Z     x = module(x)
2025-11-03T16:49:43.1397522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1397910Z     out = self.relu(out)
2025-11-03T16:49:43.1398026Z 
2025-11-03T16:49:43.1398146Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1398662Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1399146Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1399561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1399942Z     x = module(x)
2025-11-03T16:49:43.1400286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1400664Z     out = self.conv3(out)
2025-11-03T16:49:43.1400790Z 
2025-11-03T16:49:43.1400904Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1401426Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1401910Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1402281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1402652Z     x = module(x)
2025-11-03T16:49:43.1402999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1403385Z     out = self.relu(out)
2025-11-03T16:49:43.1403502Z 
2025-11-03T16:49:43.1403622Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1404136Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1404602Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1404967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1405328Z     x = module(x)
2025-11-03T16:49:43.1405664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1406057Z     out = self.conv1(x)
2025-11-03T16:49:43.1406179Z 
2025-11-03T16:49:43.1406287Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1406794Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1407291Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1407647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1408007Z     x = module(x)
2025-11-03T16:49:43.1408337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1408702Z     out = self.relu(out)
2025-11-03T16:49:43.1408816Z 
2025-11-03T16:49:43.1408932Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1409449Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1409917Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1410275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1410635Z     x = module(x)
2025-11-03T16:49:43.1410960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1411333Z     out = self.conv2(out)
2025-11-03T16:49:43.1411455Z 
2025-11-03T16:49:43.1411564Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1412064Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1412540Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1412913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1413286Z     x = module(x)
2025-11-03T16:49:43.1413628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1414007Z     out = self.relu(out)
2025-11-03T16:49:43.1414124Z 
2025-11-03T16:49:43.1414275Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1414789Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1415275Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1415648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1416018Z     x = module(x)
2025-11-03T16:49:43.1416358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1416731Z     out = self.conv3(out)
2025-11-03T16:49:43.1416854Z 
2025-11-03T16:49:43.1416967Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1417473Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1417937Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1418305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1418677Z     x = module(x)
2025-11-03T16:49:43.1419017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1419397Z     out = self.relu(out)
2025-11-03T16:49:43.1419513Z 
2025-11-03T16:49:43.1419632Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1420141Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1420623Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1421025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1421396Z     x = module(x)
2025-11-03T16:49:43.1421729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1422136Z     out = self.conv1(x)
2025-11-03T16:49:43.1422258Z 
2025-11-03T16:49:43.1422371Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1422884Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1423386Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1423751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1424143Z     x = module(x)
2025-11-03T16:49:43.1424487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1424965Z     out = self.relu(out)
2025-11-03T16:49:43.1425088Z 
2025-11-03T16:49:43.1425202Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1425746Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1426229Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1426602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1426970Z     x = module(x)
2025-11-03T16:49:43.1427307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1427712Z     out = self.conv2(out)
2025-11-03T16:49:43.1427839Z 
2025-11-03T16:49:43.1427954Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1428478Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1428957Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1429351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1429724Z     x = module(x)
2025-11-03T16:49:43.1430065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1430444Z     out = self.relu(out)
2025-11-03T16:49:43.1430557Z 
2025-11-03T16:49:43.1430670Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1431208Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1431686Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1432064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1432440Z     x = module(x)
2025-11-03T16:49:43.1432773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1433154Z     out = self.conv3(out)
2025-11-03T16:49:43.1433280Z 
2025-11-03T16:49:43.1433397Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1433910Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1434393Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1434762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1435123Z     x = module(x)
2025-11-03T16:49:43.1435455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1435824Z     out = self.relu(out)
2025-11-03T16:49:43.1435937Z 
2025-11-03T16:49:43.1436072Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1436578Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1437065Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1437468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1437831Z     x = module(x)
2025-11-03T16:49:43.1438166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1438546Z     out = self.conv1(x)
2025-11-03T16:49:43.1438670Z 
2025-11-03T16:49:43.1438782Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1439300Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1439787Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1440143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1440503Z     x = module(x)
2025-11-03T16:49:43.1440834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1441204Z     out = self.relu(out)
2025-11-03T16:49:43.1441318Z 
2025-11-03T16:49:43.1441427Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1441937Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1442408Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1442769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1443126Z     x = module(x)
2025-11-03T16:49:43.1443450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1443819Z     out = self.conv2(out)
2025-11-03T16:49:43.1443938Z 
2025-11-03T16:49:43.1444047Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1444567Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1445030Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1445393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1445759Z     x = module(x)
2025-11-03T16:49:43.1446095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1446469Z     out = self.relu(out)
2025-11-03T16:49:43.1446584Z 
2025-11-03T16:49:43.1446693Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1447208Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1447739Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1448103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1448467Z     x = module(x)
2025-11-03T16:49:43.1448789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1449160Z     out = self.conv3(out)
2025-11-03T16:49:43.1449275Z 
2025-11-03T16:49:43.1449393Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1449900Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1450369Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1450765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1451130Z     x = module(x)
2025-11-03T16:49:43.1451468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-11-03T16:49:43.1451855Z     identity = self.downsample(x)
2025-11-03T16:49:43.1452016Z 
2025-11-03T16:49:43.1452126Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1452623Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1453091Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1453453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1453814Z     x = module(x)
2025-11-03T16:49:43.1454166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1454538Z     out = self.conv1(x)
2025-11-03T16:49:43.1454652Z 
2025-11-03T16:49:43.1454767Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1455276Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1455742Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1456106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1456467Z     x = module(x)
2025-11-03T16:49:43.1456802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1457172Z     out = self.relu(out)
2025-11-03T16:49:43.1457285Z 
2025-11-03T16:49:43.1457395Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1457904Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1458379Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1458746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1459101Z     x = module(x)
2025-11-03T16:49:43.1459462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1459833Z     out = self.conv2(out)
2025-11-03T16:49:43.1459946Z 
2025-11-03T16:49:43.1460066Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1460582Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1461055Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1461433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1461808Z     x = module(x)
2025-11-03T16:49:43.1462157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1462543Z     out = self.relu(out)
2025-11-03T16:49:43.1462663Z 
2025-11-03T16:49:43.1462781Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1463310Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1463799Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1464177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1464645Z     x = module(x)
2025-11-03T16:49:43.1465000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1465384Z     out = self.conv3(out)
2025-11-03T16:49:43.1465504Z 
2025-11-03T16:49:43.1465628Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1466189Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1466670Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1467054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1467444Z     x = module(x)
2025-11-03T16:49:43.1467785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1468162Z     out = self.relu(out)
2025-11-03T16:49:43.1468288Z 
2025-11-03T16:49:43.1468402Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1468928Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1469449Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1469832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1470195Z     x = module(x)
2025-11-03T16:49:43.1470542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:49:43.1470924Z     out = self.conv1(x)
2025-11-03T16:49:43.1471038Z 
2025-11-03T16:49:43.1471157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1471685Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1472159Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1472538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1472906Z     x = module(x)
2025-11-03T16:49:43.1473249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:49:43.1473621Z     out = self.relu(out)
2025-11-03T16:49:43.1473746Z 
2025-11-03T16:49:43.1473860Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1474402Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1474885Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1475257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1475620Z     x = module(x)
2025-11-03T16:49:43.1475957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:49:43.1476334Z     out = self.conv2(out)
2025-11-03T16:49:43.1476454Z 
2025-11-03T16:49:43.1476576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1477098Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1477556Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1477915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1478274Z     x = module(x)
2025-11-03T16:49:43.1478606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:49:43.1478968Z     out = self.relu(out)
2025-11-03T16:49:43.1479090Z 
2025-11-03T16:49:43.1479199Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1479702Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1480164Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1480523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1480896Z     x = module(x)
2025-11-03T16:49:43.1481228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:49:43.1481596Z     out = self.conv3(out)
2025-11-03T16:49:43.1481710Z 
2025-11-03T16:49:43.1481826Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1482350Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:49:43.1482821Z     feats = self.feat_extractor(x)
2025-11-03T16:49:43.1483183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:49:43.1483553Z     x = module(x)
2025-11-03T16:49:43.1483886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:49:43.1484271Z     out = self.relu(out)
2025-11-03T16:49:43.1484391Z 
2025-11-03T16:49:43.1484503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1485007Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1485481Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1485943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-11-03T16:49:43.1486641Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:49:43.1487209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-11-03T16:49:43.1487782Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:49:43.1488000Z 
2025-11-03T16:49:43.1488124Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1488650Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1489128Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1489663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-11-03T16:49:43.1490207Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:49:43.1490754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-11-03T16:49:43.1491309Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:49:43.1491515Z 
2025-11-03T16:49:43.1491627Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1492147Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1492616Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1493079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-11-03T16:49:43.1493616Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:49:43.1494158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-11-03T16:49:43.1494709Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:49:43.1494927Z 
2025-11-03T16:49:43.1495039Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1495542Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1496014Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1496517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-11-03T16:49:43.1497004Z     out.append(self.upsample(out[-1]) + t)
2025-11-03T16:49:43.1497164Z 
2025-11-03T16:49:43.1497276Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1497806Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1498275Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1498726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-11-03T16:49:43.1499257Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:49:43.1499834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-11-03T16:49:43.1500373Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:49:43.1500579Z 
2025-11-03T16:49:43.1500698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1501191Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1501662Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1502121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-11-03T16:49:43.1502599Z     out.append(self.upsample(out[-1]) + t)
2025-11-03T16:49:43.1502750Z 
2025-11-03T16:49:43.1502869Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1503376Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1503851Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1504311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-11-03T16:49:43.1504955Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:49:43.1505538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-11-03T16:49:43.1506088Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:49:43.1506292Z 
2025-11-03T16:49:43.1506503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1507030Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1507519Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1508007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-11-03T16:49:43.1508506Z     out.append(self.upsample(out[-1]) + t)
2025-11-03T16:49:43.1508663Z 
2025-11-03T16:49:43.1508792Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1509316Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1509815Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1510306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:49:43.1510942Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1511509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:49:43.1512096Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1512306Z 
2025-11-03T16:49:43.1512420Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1512960Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1513445Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1513878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:49:43.1514363Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1514863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:49:43.1515380Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1515559Z 
2025-11-03T16:49:43.1515675Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1516147Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1516583Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1517038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:49:43.1517560Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1518088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:49:43.1518622Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1518800Z 
2025-11-03T16:49:43.1518910Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1519376Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1519820Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1520298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:49:43.1520817Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1521343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:49:43.1521867Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1522059Z 
2025-11-03T16:49:43.1522171Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1522676Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1523148Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1523603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:49:43.1524116Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1524650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:49:43.1525189Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1525376Z 
2025-11-03T16:49:43.1525496Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1526009Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1526470Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1526958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:49:43.1527475Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1528002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:49:43.1528548Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1528735Z 
2025-11-03T16:49:43.1528847Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1529352Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1529820Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1530302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:49:43.1530823Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1531347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:49:43.1531878Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1532071Z 
2025-11-03T16:49:43.1532183Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1532685Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1533153Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1533604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:49:43.1534128Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1534651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:49:43.1535193Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:49:43.1535383Z 
2025-11-03T16:49:43.1535502Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1536002Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:49:43.1536464Z     feat_concat = self.fpn(feats)
2025-11-03T16:49:43.1536925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 92, in forward
2025-11-03T16:49:43.1537401Z     return torch.cat(out, dim=1)
2025-11-03T16:49:43.1537535Z 
2025-11-03T16:49:43.1537634Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1537894Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1538399Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-11-03T16:49:43.1538883Z     logits = self.prob_head(feat_concat)
2025-11-03T16:49:43.1539027Z 
2025-11-03T16:49:43.1539144Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1539642Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-11-03T16:49:43.1540112Z     logits = self.prob_head(feat_concat)
2025-11-03T16:49:43.1540261Z 
2025-11-03T16:49:43.1540369Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1540866Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-11-03T16:49:43.1541340Z     logits = self.prob_head(feat_concat)
2025-11-03T16:49:43.1541502Z 
2025-11-03T16:49:43.1541620Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1542124Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-11-03T16:49:43.1542624Z     logits = self.prob_head(feat_concat)
2025-11-03T16:49:43.1542774Z 
2025-11-03T16:49:43.1542863Z cudagraph partition due to non gpu ops
2025-11-03T16:49:43.1543119Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:43.1543626Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 211, in forward
2025-11-03T16:49:43.1544124Z     prob_map = _bf16_to_float32(torch.sigmoid(logits))
2025-11-03T16:49:43.1544300Z 
2025-11-03T16:50:01.1282306Z Compilation time (from dynamo_timed): 31.669226222
2025-11-03T16:50:01.1282974Z pass
2025-11-03T16:50:01.1283307Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:01.1284209Z TIMING: gc:0.00188 entire_frame_compile:31.66923 _recursive_pre_grad_passes:0.0087 _recursive_joint_graph_passes:0.20386 _recursive_post_grad_passes:0.11781 async_compile.wait:1.21993 code_gen:15.64547 inductor_compile:18.21221 backend_compile:22.52049 total_wall_time:31.66923
2025-11-03T16:50:01.1285256Z STATS: call_* op count: 215 | FakeTensorMode.__torch_dispatch__:10726 | FakeTensor.__torch_dispatch__:7820 | ProxyTorchDispatchMode.__torch_dispatch__:3990
2025-11-03T16:50:01.1285824Z Dynamo produced 1 graphs covering 215 ops with 3 graph breaks (2 unique)
2025-11-03T16:50:03.6038507Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:50:03.6039955Z   import pynvml  # type: ignore[import]
2025-11-03T16:50:05.9728187Z 
2025-11-03T16:50:08.4881056Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:50:08.4881394Z loading model: 0it [00:02, ?it/s]
2025-11-03T16:50:08.4886348Z cpu  eval  doctr_reco_predictor               
2025-11-03T16:50:08.7114314Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:08.7597174Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:08.8064969Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:16.6198698Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6199069Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6199312Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6199549Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6199861Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6200098Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6200350Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6200615Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6200848Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6201084Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6201326Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6201567Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6201797Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6202022Z cudagraph partition due to non gpu ops
2025-11-03T16:50:16.6202305Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6202821Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6203275Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6203422Z 
2025-11-03T16:50:16.6203550Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6204357Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6204808Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6204958Z 
2025-11-03T16:50:16.6205072Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6205610Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6206051Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6206189Z 
2025-11-03T16:50:16.6206301Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6206749Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6207181Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6207318Z 
2025-11-03T16:50:16.6207503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6207953Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6208402Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6208550Z 
2025-11-03T16:50:16.6208664Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6209121Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6209573Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6209708Z 
2025-11-03T16:50:16.6209817Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6210258Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6210686Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6210822Z 
2025-11-03T16:50:16.6210944Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6211403Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6211821Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6211965Z 
2025-11-03T16:50:16.6212075Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6213021Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6213452Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6213586Z 
2025-11-03T16:50:16.6213701Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6214168Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6214573Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6214716Z 
2025-11-03T16:50:16.6214825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6215269Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6215679Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6215814Z 
2025-11-03T16:50:16.6215930Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6216364Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6216953Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6217106Z 
2025-11-03T16:50:16.6217216Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6217659Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6218070Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6218205Z 
2025-11-03T16:50:16.6218313Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6218788Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6219201Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6219336Z 
2025-11-03T16:50:16.6219454Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6219908Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6220367Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6220514Z 
2025-11-03T16:50:16.6220623Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6221080Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6221487Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6221620Z 
2025-11-03T16:50:16.6221736Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6222207Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6222631Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6222807Z 
2025-11-03T16:50:16.6222919Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6223377Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6223829Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6223966Z 
2025-11-03T16:50:16.6224085Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6224715Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6225155Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6225302Z 
2025-11-03T16:50:16.6225415Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6225877Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6226313Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6226455Z 
2025-11-03T16:50:16.6226567Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6227050Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6227483Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6227624Z 
2025-11-03T16:50:16.6227746Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6228203Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6228630Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6228776Z 
2025-11-03T16:50:16.6228887Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6229341Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6229768Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6229907Z 
2025-11-03T16:50:16.6230019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6230478Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6230907Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6231047Z 
2025-11-03T16:50:16.6231168Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6231623Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6232053Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6232200Z 
2025-11-03T16:50:16.6232312Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6232767Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6233195Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6233392Z 
2025-11-03T16:50:16.6233517Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6233968Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6234428Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6234573Z 
2025-11-03T16:50:16.6234682Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6235122Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6235533Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6235666Z 
2025-11-03T16:50:16.6235774Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6236216Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6236659Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6236796Z 
2025-11-03T16:50:16.6236915Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6237360Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6237769Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6237914Z 
2025-11-03T16:50:16.6238022Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:16.6238464Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:50:16.6238877Z     features = self.feat_extractor(x)
2025-11-03T16:50:16.6239012Z 
2025-11-03T16:50:27.6457785Z Compilation time (from dynamo_timed): 18.312827249
2025-11-03T16:50:27.6458114Z pass
2025-11-03T16:50:27.6462392Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:27.6463493Z TIMING: gc:0.0012 entire_frame_compile:18.31283 _recursive_pre_grad_passes:0.00473 _recursive_joint_graph_passes:0.15285 _recursive_post_grad_passes:0.03417 async_compile.wait:0.80767 code_gen:10.75214 inductor_compile:11.50695 backend_compile:15.18356 total_wall_time:18.31283
2025-11-03T16:50:27.6465101Z STATS: call_* op count: 46 | FakeTensorMode.__torch_dispatch__:3525 | attempt fast:118 | fast is_contiguous:118 | FakeTensor.__torch_dispatch__:1331 | ProxyTorchDispatchMode.__torch_dispatch__:722
2025-11-03T16:50:27.6465761Z Dynamo produced 1 graphs covering 46 ops with 1 graph breaks (1 unique)
2025-11-03T16:50:29.8676149Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:50:29.8677086Z   import pynvml  # type: ignore[import]
2025-11-03T16:50:32.1825671Z 
2025-11-03T16:50:32.2375063Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-11-03T16:50:32.2375789Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-11-03T16:50:32.2376460Z 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.
2025-11-03T16:50:32.2377218Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-11-03T16:50:32.8254312Z 
2025-11-03T16:50:32.8270760Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:50:32.8271588Z cpu  eval  drq                                
2025-11-03T16:50:32.8353769Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:32.8404164Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:32.8449014Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:35.0490578Z cudagraph partition due to non gpu ops
2025-11-03T16:50:35.0493486Z cudagraph partition due to non gpu ops
2025-11-03T16:50:35.0494486Z cudagraph partition due to non gpu ops
2025-11-03T16:50:35.0495364Z cudagraph partition due to non gpu ops
2025-11-03T16:50:35.0500333Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0500825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0501206Z     return mod(*inputs)
2025-11-03T16:50:35.0501547Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:50:35.0501890Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:50:35.0502242Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-11-03T16:50:35.0502779Z     h = self.forward_conv(obs)
2025-11-03T16:50:35.0503099Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-11-03T16:50:35.0503454Z     conv = torch.relu(self.convs[0](obs))
2025-11-03T16:50:35.0503621Z 
2025-11-03T16:50:35.0503745Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0509863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0510471Z     return mod(*inputs)
2025-11-03T16:50:35.0511299Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:50:35.0511716Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:50:35.0512189Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-11-03T16:50:35.0512661Z     h = self.forward_conv(obs)
2025-11-03T16:50:35.0513011Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-11-03T16:50:35.0513379Z     conv = torch.relu(self.convs[i](conv))
2025-11-03T16:50:35.0513536Z 
2025-11-03T16:50:35.0513813Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0514231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0514621Z     return mod(*inputs)
2025-11-03T16:50:35.0515503Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:50:35.0515867Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:50:35.0516343Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-11-03T16:50:35.0516835Z     h = self.forward_conv(obs)
2025-11-03T16:50:35.0517169Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-11-03T16:50:35.0517613Z     conv = torch.relu(self.convs[i](conv))
2025-11-03T16:50:35.0517792Z 
2025-11-03T16:50:35.0517951Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0518366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0518741Z     return mod(*inputs)
2025-11-03T16:50:35.0519016Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:50:35.0519348Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:50:35.0519676Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-11-03T16:50:35.0519991Z     h = self.forward_conv(obs)
2025-11-03T16:50:35.0520288Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-11-03T16:50:35.0520622Z     conv = torch.relu(self.convs[i](conv))
2025-11-03T16:50:35.0520774Z 
2025-11-03T16:50:35.0520891Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0521291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0521673Z     return mod(*inputs)
2025-11-03T16:50:35.0521943Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:50:35.0522335Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:50:35.0522665Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-11-03T16:50:35.0522968Z     h = self.forward_conv(obs)
2025-11-03T16:50:35.0523273Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-11-03T16:50:35.0523633Z     conv = torch.relu(self.convs[i](conv))
2025-11-03T16:50:35.0523790Z 
2025-11-03T16:50:35.0523907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0524314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0524695Z     return mod(*inputs)
2025-11-03T16:50:35.0524960Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:50:35.0525274Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:50:35.0525618Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward
2025-11-03T16:50:35.0525905Z     out = self.head(h)
2025-11-03T16:50:35.0526014Z 
2025-11-03T16:50:35.0526126Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0526511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0526862Z     return mod(*inputs)
2025-11-03T16:50:35.0527131Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:50:35.0527446Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:50:35.0527753Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward
2025-11-03T16:50:35.0528044Z     out = torch.tanh(out)
2025-11-03T16:50:35.0528164Z 
2025-11-03T16:50:35.0528284Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0528672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0529014Z     return mod(*inputs)
2025-11-03T16:50:35.0529282Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-11-03T16:50:35.0529597Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-11-03T16:50:35.0529753Z 
2025-11-03T16:50:35.0529869Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0530276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0530617Z     return mod(*inputs)
2025-11-03T16:50:35.0530882Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-11-03T16:50:35.0531194Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-11-03T16:50:35.0531347Z 
2025-11-03T16:50:35.0531465Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0531839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0532184Z     return mod(*inputs)
2025-11-03T16:50:35.0532450Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-11-03T16:50:35.0532773Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-11-03T16:50:35.0532929Z 
2025-11-03T16:50:35.0533050Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0533437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0533789Z     return mod(*inputs)
2025-11-03T16:50:35.0534063Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-11-03T16:50:35.0534379Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-11-03T16:50:35.0534534Z 
2025-11-03T16:50:35.0534650Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0535040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0535390Z     return mod(*inputs)
2025-11-03T16:50:35.0535664Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-11-03T16:50:35.0535987Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-11-03T16:50:35.0536145Z 
2025-11-03T16:50:35.0536284Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:35.0536675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:35.0537047Z     return mod(*inputs)
2025-11-03T16:50:35.0537328Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward
2025-11-03T16:50:35.0537645Z     std = log_std.exp()
2025-11-03T16:50:35.0537766Z 
2025-11-03T16:50:44.9517505Z Compilation time (from dynamo_timed): 11.640449165
2025-11-03T16:50:44.9517855Z pass
2025-11-03T16:50:44.9518229Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:44.9519133Z TIMING: _recursive_pre_grad_passes:0.00485 _recursive_joint_graph_passes:0.35556 _recursive_post_grad_passes:0.01993 async_compile.wait:0.78935 code_gen:9.51182 inductor_compile:9.64924 backend_compile:10.88124 gc:0.00136 entire_frame_compile:11.64045 total_wall_time:11.64045
2025-11-03T16:50:44.9520504Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:245 | FakeTensorMode.__torch_dispatch__:864 | ProxyTorchDispatchMode.__torch_dispatch__:126
2025-11-03T16:50:44.9521071Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-11-03T16:50:46.7263171Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:50:46.7264671Z   import pynvml  # type: ignore[import]
2025-11-03T16:50:49.1258514Z 
2025-11-03T16:50:50.5519015Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:50:50.5519343Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:50:50.5534981Z cpu  eval  fastNLP_Bert                       
2025-11-03T16:50:51.7684888Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:52.3421619Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:52.9358158Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:53.6124058Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T16:50:53.6124856Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T16:50:53.6125427Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] or:
2025-11-03T16:50:53.6125993Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T16:50:53.6126636Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] to include these operations in the captured graph.
2025-11-03T16:50:53.6127200Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] 
2025-11-03T16:50:53.6127695Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] Graph break: from user code at:
2025-11-03T16:50:53.6128440Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:50:53.6129145Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     return mod(*inputs)
2025-11-03T16:50:53.6129878Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward
2025-11-03T16:50:53.6130622Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     sequence_output = self.bert(words)
2025-11-03T16:50:53.6131607Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward
2025-11-03T16:50:53.6132401Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     outputs = self.model(words)
2025-11-03T16:50:53.6133231Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-11-03T16:50:53.6138225Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [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)
2025-11-03T16:50:53.6139044Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] 
2025-11-03T16:50:53.6139815Z W1103 16:50:53.611000 26312 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] 
2025-11-03T16:50:55.2794265Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:55.2794848Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-11-03T16:50:55.2795865Z     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-11-03T16:50:55.2796171Z 
2025-11-03T16:50:55.2796298Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:55.2796768Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward
2025-11-03T16:50:55.2797191Z     seq_len = word_mask.sum(dim=-1)
2025-11-03T16:50:55.2797351Z 
2025-11-03T16:51:10.5760509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5764390Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward
2025-11-03T16:51:10.5764924Z     embedding_output = self.embeddings(input_ids, token_type_ids)
2025-11-03T16:51:10.5767728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward
2025-11-03T16:51:10.5768267Z     embeddings = words_embeddings + position_embeddings + token_type_embeddings
2025-11-03T16:51:10.5768860Z 
2025-11-03T16:51:10.5769011Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5769461Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5769904Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5770342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5770804Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5771271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5771754Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5772233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5772739Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5773181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.5773602Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.5773781Z 
2025-11-03T16:51:10.5773902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5774350Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5774784Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5775228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5775778Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5776252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5776739Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5777279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5777757Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5778200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.5778621Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.5778789Z 
2025-11-03T16:51:10.5778909Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5779409Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5779842Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5780272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5780723Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5781176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5781646Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5782106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5782551Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5782986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.5783418Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.5783584Z 
2025-11-03T16:51:10.5783690Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5783928Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5784196Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5784812Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5785253Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5785666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5786454Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5786912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5787381Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5787845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.5788287Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.5788731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.5789141Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5789298Z 
2025-11-03T16:51:10.5789423Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5789854Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5790274Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5790688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5791125Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5791604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5792054Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5792488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.5792923Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5793085Z 
2025-11-03T16:51:10.5793201Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5793625Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5794056Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5794460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5794935Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5795374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5795828Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5796266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.5796712Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.5797148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.5797575Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.5797746Z 
2025-11-03T16:51:10.5797870Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5798294Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5798723Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5799146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5799590Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5800061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.5800519Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.5800979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.5801385Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5801538Z 
2025-11-03T16:51:10.5801663Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5802099Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5802516Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5802931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5803374Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5803810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5804260Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5804923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5805369Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5805799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.5806223Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.5806389Z 
2025-11-03T16:51:10.5806505Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5806963Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5807384Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5807798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5808258Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5808686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5809149Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5809598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5810057Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5810480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.5810878Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.5811040Z 
2025-11-03T16:51:10.5811154Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5811582Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5812000Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5812403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5812846Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5813278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5813735Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5814185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5814604Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5815044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.5815464Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.5815628Z 
2025-11-03T16:51:10.5815730Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5815975Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5816233Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5816670Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5817096Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5817516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5817957Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5818397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5818857Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5819315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.5819764Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.5820203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.5820609Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5820766Z 
2025-11-03T16:51:10.5820878Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5821320Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5821735Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5822146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5822588Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5823086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5823541Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5824004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.5824416Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5824666Z 
2025-11-03T16:51:10.5824858Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5825331Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5825754Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5826163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5826614Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5827043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5827489Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5827918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.5828350Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.5828769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.5829188Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.5829353Z 
2025-11-03T16:51:10.5829475Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5829912Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5830319Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5830721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5831157Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5831580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.5832037Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.5832482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.5832898Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5833058Z 
2025-11-03T16:51:10.5833172Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5833603Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5834026Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5834439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5834860Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5835286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5835739Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5836178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5836616Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5837030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.5837439Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.5837653Z 
2025-11-03T16:51:10.5837767Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5838195Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5838613Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5839019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5839456Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5839915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5840375Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5840829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5841254Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5841678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.5842083Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.5842235Z 
2025-11-03T16:51:10.5842358Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5842785Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5843198Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5843613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5844050Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5844484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5844950Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5845403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5845825Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5846244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.5846655Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.5846815Z 
2025-11-03T16:51:10.5846906Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5847148Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5847413Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5847838Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5848255Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5848657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5849094Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5849527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5849991Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5850434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.5850876Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.5851331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.5851741Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5851895Z 
2025-11-03T16:51:10.5852017Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5852458Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5852881Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5853296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5853744Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5854178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5854639Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5855083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.5855487Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5855640Z 
2025-11-03T16:51:10.5855764Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5856191Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5856621Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5857027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5857481Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5857939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5858373Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5858826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.5859258Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.5859721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.5860146Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.5860320Z 
2025-11-03T16:51:10.5860435Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5860862Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5861287Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5861702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5862152Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5862591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.5863061Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.5863523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.5863945Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5864095Z 
2025-11-03T16:51:10.5864214Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5864730Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5865168Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5865596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5866048Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5866511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5866976Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5867420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5867858Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5868268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.5868671Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.5868836Z 
2025-11-03T16:51:10.5868946Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5869361Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5869793Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5870199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5870625Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5871052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5871494Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5871933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5872358Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5872760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.5873158Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.5873318Z 
2025-11-03T16:51:10.5873431Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5873844Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5874259Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5874674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5875108Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5875535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5875985Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5876416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5876835Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5877243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.5877646Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.5877804Z 
2025-11-03T16:51:10.5877901Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5878134Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5878542Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5878958Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5879367Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5879772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5880191Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5880618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5881109Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5881551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.5881974Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.5882420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.5882814Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5882963Z 
2025-11-03T16:51:10.5883081Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5883495Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5883892Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5884316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5884739Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5885164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5885599Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5886022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.5886576Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5886738Z 
2025-11-03T16:51:10.5886850Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5887270Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5887691Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5888108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5888547Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5888990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5889486Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5889925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.5890362Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.5890793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.5891217Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.5891388Z 
2025-11-03T16:51:10.5891512Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5891935Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5892359Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5892780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5893222Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5893658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.5894127Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.5894578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.5894989Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5895143Z 
2025-11-03T16:51:10.5895265Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5895728Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5896144Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5896561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5897034Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5897470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5897937Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5898383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5898813Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5899267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.5899677Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.5899838Z 
2025-11-03T16:51:10.5899953Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5900381Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5900799Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5901215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5901652Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5902076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5902532Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5902975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5903386Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5903792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.5904196Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.5904354Z 
2025-11-03T16:51:10.5904465Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5904949Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5905357Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5905757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5906177Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5906620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5907072Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5907523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5907941Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5908368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.5908794Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.5908951Z 
2025-11-03T16:51:10.5909050Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5909286Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5909538Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5909955Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5910394Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5910806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5911250Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5911674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5912142Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5912585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.5913039Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.5913457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.5913878Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5914037Z 
2025-11-03T16:51:10.5914149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5914565Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5914991Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5915389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5915837Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5916278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5916725Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5917154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.5917555Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5917718Z 
2025-11-03T16:51:10.5917836Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5918268Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5918699Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5919111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5919530Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5919952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5920384Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5920812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.5921235Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.5921646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.5922054Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.5922225Z 
2025-11-03T16:51:10.5922338Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5922757Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5923157Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5923564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5923990Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5924414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.5924862Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.5925325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.5925719Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5925878Z 
2025-11-03T16:51:10.5925991Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5926434Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5926845Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5927242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5927674Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5928098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5928571Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5929012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5929429Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5929841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.5930243Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.5930401Z 
2025-11-03T16:51:10.5930520Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5930923Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5931336Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5931733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5932166Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5932584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5933029Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5933502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5933919Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5934329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.5934732Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.5934883Z 
2025-11-03T16:51:10.5934993Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5935411Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5935825Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5936227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5936657Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5937074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5937526Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5937975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5938409Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5938821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.5939234Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.5939405Z 
2025-11-03T16:51:10.5939574Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5939823Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5940083Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5940506Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5940946Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5941362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5941798Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5942237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5942682Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5943161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.5943603Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.5944044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.5944443Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5944690Z 
2025-11-03T16:51:10.5944808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5945243Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5945668Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5946090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5946526Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5946974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5947428Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5947881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.5948318Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5948475Z 
2025-11-03T16:51:10.5948590Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5949021Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5949444Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5949861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5950303Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5950732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5951172Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5951616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.5952053Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.5952474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.5952892Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.5953068Z 
2025-11-03T16:51:10.5953184Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5953615Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5954036Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5954466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5954908Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5955348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.5955830Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.5956288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.5956699Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5956861Z 
2025-11-03T16:51:10.5956975Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5957404Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5957846Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5958255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5958688Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5959130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5959596Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5960047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5960477Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5960899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.5961310Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.5961483Z 
2025-11-03T16:51:10.5961597Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5962027Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5962446Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5962890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5963341Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5963796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5964272Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5964735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5965184Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5965630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.5966045Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.5966204Z 
2025-11-03T16:51:10.5966331Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5966772Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5967212Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5967646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5968103Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5968560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5969011Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5969483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5969898Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5970309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.5970728Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.5970891Z 
2025-11-03T16:51:10.5970982Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5971215Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.5971474Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5971888Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5972296Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5972698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5973154Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5973580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5974036Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5974475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.5974909Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.5975336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.5975738Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5975887Z 
2025-11-03T16:51:10.5975997Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5976416Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5976831Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5977238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5977695Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5978114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5978558Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5978983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.5979386Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5979533Z 
2025-11-03T16:51:10.5979649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5980063Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5980481Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5980893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5981331Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5981766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.5982203Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.5982644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.5983076Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.5983500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.5983911Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.5984111Z 
2025-11-03T16:51:10.5984228Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5984738Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5985180Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5985628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5986061Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5986691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.5987161Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.5987621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.5988103Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.5988259Z 
2025-11-03T16:51:10.5988374Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5988814Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5989241Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5989665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5990111Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5990537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5991007Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5991458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5991887Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5992310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.5992723Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.5992923Z 
2025-11-03T16:51:10.5993042Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5993474Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5993900Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5994304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5994747Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5995182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.5995649Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.5996099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.5996525Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.5996935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.5997336Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.5997484Z 
2025-11-03T16:51:10.5997605Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.5998019Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.5998426Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.5998830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.5999301Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.5999725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6000178Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6000649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6001068Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6001491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.6001902Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.6002071Z 
2025-11-03T16:51:10.6002158Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.6002414Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.6002673Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6003098Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6003508Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6003909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6004336Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6004760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6005206Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6005645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.6006067Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.6006492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.6006887Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6007038Z 
2025-11-03T16:51:10.6007156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6007587Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6007998Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6008403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6008828Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6009251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.6009679Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.6010109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.6010504Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6010654Z 
2025-11-03T16:51:10.6010774Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6011191Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6011593Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6011996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6012423Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6012848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.6013280Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.6013727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.6014153Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.6014568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.6014999Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.6015168Z 
2025-11-03T16:51:10.6015285Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6015693Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6016096Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6016498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6016946Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6017359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.6017800Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.6018240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.6018635Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6018784Z 
2025-11-03T16:51:10.6018904Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6019310Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6019717Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6020121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6020561Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6020994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6021440Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6021913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6022346Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6022772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.6023186Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.6023349Z 
2025-11-03T16:51:10.6023464Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6023894Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6024318Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6024810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6025248Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6025684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6026144Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6026598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6027028Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6027444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.6027849Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.6028015Z 
2025-11-03T16:51:10.6028130Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6028588Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6029010Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6029416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6029881Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6030317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6030777Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6031232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6031677Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6032100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.6032511Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.6032671Z 
2025-11-03T16:51:10.6032770Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.6033005Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.6033273Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6033704Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6034127Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6034543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6034978Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6035419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6035878Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6036334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.6036804Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.6037233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.6037637Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6037798Z 
2025-11-03T16:51:10.6037912Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6038342Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6038751Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6039168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6039604Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6040037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.6040482Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.6040917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.6041322Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6041484Z 
2025-11-03T16:51:10.6041597Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6042021Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6042436Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6042845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6043305Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6043739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.6044181Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.6044653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.6045077Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.6045503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.6045920Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.6046086Z 
2025-11-03T16:51:10.6046208Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6046655Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6047076Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6047494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6047941Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6048380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.6048834Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.6049291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.6049699Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6049853Z 
2025-11-03T16:51:10.6049980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6050410Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6050825Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6051240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6051705Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6052144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6052619Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6053062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6053503Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6053925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.6054358Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.6054520Z 
2025-11-03T16:51:10.6054640Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6055059Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6055478Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6055885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6056343Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6056767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6057242Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6057693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6058245Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6058678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.6059103Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.6059291Z 
2025-11-03T16:51:10.6059407Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6059838Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6060281Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6060695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6061150Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6061609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6062085Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6062537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6062962Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6063380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.6063793Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.6063960Z 
2025-11-03T16:51:10.6064051Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.6064298Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.6064623Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6065073Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6065500Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6065922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6066364Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6066825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6067291Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6067749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.6068195Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.6068637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.6069042Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6069206Z 
2025-11-03T16:51:10.6069323Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6069752Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6070182Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6070594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6071039Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6071478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.6071923Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.6072365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.6072767Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6072929Z 
2025-11-03T16:51:10.6073065Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6073492Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6073931Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6074340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6074787Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6075220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.6075658Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.6076097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.6076567Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.6076991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.6077412Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.6077590Z 
2025-11-03T16:51:10.6077707Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6078141Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6078542Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6078946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6079372Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6079799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.6080243Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.6080679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.6081076Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6081234Z 
2025-11-03T16:51:10.6082336Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6082770Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6083184Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6083590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6084027Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6084459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6084919Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6085374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6085791Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6086342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.6086767Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.6086928Z 
2025-11-03T16:51:10.6087048Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6087474Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6087879Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6088289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6088726Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6089221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6089668Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6090118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6090581Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6091004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.6091409Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.6091560Z 
2025-11-03T16:51:10.6091672Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6092098Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6092542Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6092944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6093365Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6093781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6094224Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6094658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6095080Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6095490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.6095883Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.6096048Z 
2025-11-03T16:51:10.6096139Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.6096372Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.6096629Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6097065Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6097482Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6097886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6098320Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6098742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6099184Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6099626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.6100080Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.6100516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.6100933Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6101089Z 
2025-11-03T16:51:10.6101204Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6101630Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6102056Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6102466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6102902Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6103336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.6103834Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.6104282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.6104758Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6104942Z 
2025-11-03T16:51:10.6105056Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6105485Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6105906Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6106326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6106765Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6107217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.6107656Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.6108096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.6108530Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.6108953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.6109361Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.6109539Z 
2025-11-03T16:51:10.6109655Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6110084Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6110498Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6110907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6111342Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6111773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.6112248Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.6112710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.6113110Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6113272Z 
2025-11-03T16:51:10.6113385Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6113814Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6114237Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6114659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6115092Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6115536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6115997Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6116457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6116898Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6117317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:51:10.6117737Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:51:10.6117911Z 
2025-11-03T16:51:10.6118037Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6118474Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6118879Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6119273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6119718Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6120144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6120600Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6121038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6121461Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6121898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:51:10.6122307Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:51:10.6122462Z 
2025-11-03T16:51:10.6122580Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6122989Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6123403Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6123805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6124227Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6124653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6125088Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6125532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:51:10.6125948Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:51:10.6126359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:51:10.6126790Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:51:10.6126949Z 
2025-11-03T16:51:10.6127038Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.6127275Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.6127533Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6127950Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6128351Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6128755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6129175Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6129597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:51:10.6130036Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:51:10.6130469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:51:10.6130901Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:51:10.6131326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:51:10.6131716Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6131866Z 
2025-11-03T16:51:10.6131985Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6132391Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6132822Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6133226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6133645Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6134059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.6134511Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.6134937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:51:10.6135338Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6135490Z 
2025-11-03T16:51:10.6135609Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6136018Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6136452Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6136858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6137295Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6137718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:51:10.6138148Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:51:10.6138591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:51:10.6139032Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:51:10.6139462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:51:10.6139882Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:51:10.6140051Z 
2025-11-03T16:51:10.6140167Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6140601Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:51:10.6141045Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:51:10.6141467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:51:10.6141909Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:51:10.6142346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:51:10.6142813Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:51:10.6143272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:51:10.6143689Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:51:10.6143844Z 
2025-11-03T16:51:10.6143962Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6144392Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-11-03T16:51:10.6144904Z     pooled_output = self.pooler(sequence_output)
2025-11-03T16:51:10.6145329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward
2025-11-03T16:51:10.6145749Z     pooled_output = self.dense(first_token_tensor)
2025-11-03T16:51:10.6145916Z 
2025-11-03T16:51:10.6146028Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.6146457Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-11-03T16:51:10.6146874Z     pooled_output = self.pooler(sequence_output)
2025-11-03T16:51:10.6147293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward
2025-11-03T16:51:10.6147740Z     pooled_output = self.activation(pooled_output)
2025-11-03T16:51:10.6147907Z 
2025-11-03T16:51:13.7397162Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:13.7397928Z    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
2025-11-03T16:51:13.7398981Z     return self.dropout(outputs)
2025-11-03T16:51:13.7399411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout
2025-11-03T16:51:13.7399825Z     return self.dropout_layer(words)
2025-11-03T16:51:13.7399976Z 
2025-11-03T16:51:14.3571349Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:14.3572723Z    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
2025-11-03T16:51:14.3573790Z     logits = self.qa_outputs(sequence_output)  # [batch_size, seq_len, num_labels]
2025-11-03T16:51:14.3574043Z 
2025-11-03T16:51:14.6354118Z Compilation time (from dynamo_timed): 20.677251482
2025-11-03T16:51:14.6354445Z pass
2025-11-03T16:51:14.6354775Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:14.6355749Z TIMING: gc:0.00474 entire_frame_compile:20.67725 _recursive_pre_grad_passes:0.00989 _recursive_joint_graph_passes:0.55647 _recursive_post_grad_passes:0.06557 async_compile.wait:1.8451 code_gen:11.5184 inductor_compile:12.79058 backend_compile:16.58389 total_wall_time:20.67725
2025-11-03T16:51:14.6356839Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:8986 | ProxyTorchDispatchMode.__torch_dispatch__:2710 | FakeTensor.__torch_dispatch__:4216
2025-11-03T16:51:14.6357549Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique)
2025-11-03T16:51:16.6714743Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:51:16.6715641Z   import pynvml  # type: ignore[import]
2025-11-03T16:51:18.9810548Z 
2025-11-03T16:51:19.3763321Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:51:19.3763669Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:51:19.3766942Z cpu  eval  functorch_dp_cifar10               
2025-11-03T16:51:19.4154803Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:19.4343783Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:19.4521999Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:29.4677354Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4677721Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4678001Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4678241Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4678474Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4678722Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4678967Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4679218Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4679451Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4679692Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4679931Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4680171Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4680405Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4680645Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4680885Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4681131Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4681368Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4681953Z cudagraph partition due to non gpu ops
2025-11-03T16:51:29.4682244Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4682695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4683095Z     return mod(*inputs)
2025-11-03T16:51:29.4683610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4684051Z     return self._forward_impl(x)
2025-11-03T16:51:29.4684470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-11-03T16:51:29.4684889Z     x = self.conv1(x)
2025-11-03T16:51:29.4685012Z 
2025-11-03T16:51:29.4685133Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4685559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4685988Z     return mod(*inputs)
2025-11-03T16:51:29.4686614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4687069Z     return self._forward_impl(x)
2025-11-03T16:51:29.4687483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-11-03T16:51:29.4687894Z     x = self.relu(x)
2025-11-03T16:51:29.4688011Z 
2025-11-03T16:51:29.4688128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4688552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4688917Z     return mod(*inputs)
2025-11-03T16:51:29.4689293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4689689Z     return self._forward_impl(x)
2025-11-03T16:51:29.4690086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-11-03T16:51:29.4690527Z     x = self.maxpool(x)
2025-11-03T16:51:29.4690652Z 
2025-11-03T16:51:29.4690767Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4691179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4691592Z     return mod(*inputs)
2025-11-03T16:51:29.4691967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4692357Z     return self._forward_impl(x)
2025-11-03T16:51:29.4692757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:51:29.4693167Z     x = self.layer1(x)
2025-11-03T16:51:29.4693523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:51:29.4693904Z     out = self.conv1(x)
2025-11-03T16:51:29.4694029Z 
2025-11-03T16:51:29.4694147Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4694557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4694917Z     return mod(*inputs)
2025-11-03T16:51:29.4695272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4695665Z     return self._forward_impl(x)
2025-11-03T16:51:29.4696067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:51:29.4696473Z     x = self.layer1(x)
2025-11-03T16:51:29.4696900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:51:29.4697281Z     out = self.relu(out)
2025-11-03T16:51:29.4697409Z 
2025-11-03T16:51:29.4697524Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4697929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4698358Z     return mod(*inputs)
2025-11-03T16:51:29.4698718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4699106Z     return self._forward_impl(x)
2025-11-03T16:51:29.4699509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:51:29.4699952Z     x = self.layer1(x)
2025-11-03T16:51:29.4700299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:51:29.4700682Z     out = self.conv2(out)
2025-11-03T16:51:29.4700814Z 
2025-11-03T16:51:29.4700930Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4701330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4701738Z     return mod(*inputs)
2025-11-03T16:51:29.4702208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4702609Z     return self._forward_impl(x)
2025-11-03T16:51:29.4703009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:51:29.4703416Z     x = self.layer1(x)
2025-11-03T16:51:29.4703775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:51:29.4704167Z     out = self.relu(out)
2025-11-03T16:51:29.4704296Z 
2025-11-03T16:51:29.4704412Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4704885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4705257Z     return mod(*inputs)
2025-11-03T16:51:29.4705660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4706057Z     return self._forward_impl(x)
2025-11-03T16:51:29.4706459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:51:29.4706867Z     x = self.layer1(x)
2025-11-03T16:51:29.4707245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:51:29.4707628Z     out = self.conv1(x)
2025-11-03T16:51:29.4707751Z 
2025-11-03T16:51:29.4707865Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4708266Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4708626Z     return mod(*inputs)
2025-11-03T16:51:29.4708978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4709375Z     return self._forward_impl(x)
2025-11-03T16:51:29.4709774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:51:29.4710186Z     x = self.layer1(x)
2025-11-03T16:51:29.4710535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:51:29.4710923Z     out = self.relu(out)
2025-11-03T16:51:29.4711049Z 
2025-11-03T16:51:29.4711168Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4711573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4711932Z     return mod(*inputs)
2025-11-03T16:51:29.4712280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4712673Z     return self._forward_impl(x)
2025-11-03T16:51:29.4713071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:51:29.4713506Z     x = self.layer1(x)
2025-11-03T16:51:29.4713895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:51:29.4714265Z     out = self.conv2(out)
2025-11-03T16:51:29.4714384Z 
2025-11-03T16:51:29.4714502Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4714888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4715261Z     return mod(*inputs)
2025-11-03T16:51:29.4715606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4715980Z     return self._forward_impl(x)
2025-11-03T16:51:29.4716350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:51:29.4716782Z     x = self.layer1(x)
2025-11-03T16:51:29.4717124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:51:29.4717525Z     out = self.relu(out)
2025-11-03T16:51:29.4717641Z 
2025-11-03T16:51:29.4717759Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4718138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4718483Z     return mod(*inputs)
2025-11-03T16:51:29.4718835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4719211Z     return self._forward_impl(x)
2025-11-03T16:51:29.4719585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:51:29.4719969Z     x = self.layer2(x)
2025-11-03T16:51:29.4720306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:51:29.4720745Z     out = self.conv1(x)
2025-11-03T16:51:29.4720903Z 
2025-11-03T16:51:29.4721023Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4721407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4721749Z     return mod(*inputs)
2025-11-03T16:51:29.4722128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4722520Z     return self._forward_impl(x)
2025-11-03T16:51:29.4722906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:51:29.4723304Z     x = self.layer2(x)
2025-11-03T16:51:29.4723655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:51:29.4724040Z     out = self.relu(out)
2025-11-03T16:51:29.4724158Z 
2025-11-03T16:51:29.4724286Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4724666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4725005Z     return mod(*inputs)
2025-11-03T16:51:29.4725355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4725730Z     return self._forward_impl(x)
2025-11-03T16:51:29.4726108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:51:29.4726495Z     x = self.layer2(x)
2025-11-03T16:51:29.4726850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:51:29.4727234Z     out = self.conv2(out)
2025-11-03T16:51:29.4727354Z 
2025-11-03T16:51:29.4727477Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4727867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4728228Z     return mod(*inputs)
2025-11-03T16:51:29.4728614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4729004Z     return self._forward_impl(x)
2025-11-03T16:51:29.4729386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:51:29.4729783Z     x = self.layer2(x)
2025-11-03T16:51:29.4730164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-11-03T16:51:29.4730556Z     identity = self.downsample(x)
2025-11-03T16:51:29.4730695Z 
2025-11-03T16:51:29.4730816Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4731208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4731562Z     return mod(*inputs)
2025-11-03T16:51:29.4731914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4732353Z     return self._forward_impl(x)
2025-11-03T16:51:29.4732736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:51:29.4733133Z     x = self.layer2(x)
2025-11-03T16:51:29.4733520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:51:29.4733903Z     out = self.relu(out)
2025-11-03T16:51:29.4734021Z 
2025-11-03T16:51:29.4734144Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4734532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4734886Z     return mod(*inputs)
2025-11-03T16:51:29.4735246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4735634Z     return self._forward_impl(x)
2025-11-03T16:51:29.4736023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:51:29.4736418Z     x = self.layer2(x)
2025-11-03T16:51:29.4736768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:51:29.4737147Z     out = self.conv1(x)
2025-11-03T16:51:29.4737259Z 
2025-11-03T16:51:29.4737404Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4737795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4738149Z     return mod(*inputs)
2025-11-03T16:51:29.4738505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4738892Z     return self._forward_impl(x)
2025-11-03T16:51:29.4739277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:51:29.4739675Z     x = self.layer2(x)
2025-11-03T16:51:29.4740031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:51:29.4740407Z     out = self.relu(out)
2025-11-03T16:51:29.4740527Z 
2025-11-03T16:51:29.4740649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4741041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4741395Z     return mod(*inputs)
2025-11-03T16:51:29.4741749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4742138Z     return self._forward_impl(x)
2025-11-03T16:51:29.4742524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:51:29.4742918Z     x = self.layer2(x)
2025-11-03T16:51:29.4743269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:51:29.4743655Z     out = self.conv2(out)
2025-11-03T16:51:29.4743776Z 
2025-11-03T16:51:29.4743925Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4744320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4744914Z     return mod(*inputs)
2025-11-03T16:51:29.4745286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4745709Z     return self._forward_impl(x)
2025-11-03T16:51:29.4746095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:51:29.4746499Z     x = self.layer2(x)
2025-11-03T16:51:29.4746853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:51:29.4747245Z     out = self.relu(out)
2025-11-03T16:51:29.4747387Z 
2025-11-03T16:51:29.4747508Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4747900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4748263Z     return mod(*inputs)
2025-11-03T16:51:29.4748626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4749027Z     return self._forward_impl(x)
2025-11-03T16:51:29.4749416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:51:29.4749824Z     x = self.layer3(x)
2025-11-03T16:51:29.4750173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:51:29.4750548Z     out = self.conv1(x)
2025-11-03T16:51:29.4750660Z 
2025-11-03T16:51:29.4750781Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4751167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4751519Z     return mod(*inputs)
2025-11-03T16:51:29.4751873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4752252Z     return self._forward_impl(x)
2025-11-03T16:51:29.4752656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:51:29.4753041Z     x = self.layer3(x)
2025-11-03T16:51:29.4753378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:51:29.4753742Z     out = self.relu(out)
2025-11-03T16:51:29.4753856Z 
2025-11-03T16:51:29.4753974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4754350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4754690Z     return mod(*inputs)
2025-11-03T16:51:29.4755031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4755401Z     return self._forward_impl(x)
2025-11-03T16:51:29.4755769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:51:29.4756153Z     x = self.layer3(x)
2025-11-03T16:51:29.4756494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:51:29.4756863Z     out = self.conv2(out)
2025-11-03T16:51:29.4756979Z 
2025-11-03T16:51:29.4757097Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4757472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4757818Z     return mod(*inputs)
2025-11-03T16:51:29.4758160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4758536Z     return self._forward_impl(x)
2025-11-03T16:51:29.4758941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:51:29.4759333Z     x = self.layer3(x)
2025-11-03T16:51:29.4759726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-11-03T16:51:29.4760123Z     identity = self.downsample(x)
2025-11-03T16:51:29.4760285Z 
2025-11-03T16:51:29.4760459Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4760848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4761203Z     return mod(*inputs)
2025-11-03T16:51:29.4761541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4761918Z     return self._forward_impl(x)
2025-11-03T16:51:29.4762298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:51:29.4762712Z     x = self.layer3(x)
2025-11-03T16:51:29.4763058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:51:29.4763418Z     out = self.relu(out)
2025-11-03T16:51:29.4763543Z 
2025-11-03T16:51:29.4763657Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4764041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4764385Z     return mod(*inputs)
2025-11-03T16:51:29.4764722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4765096Z     return self._forward_impl(x)
2025-11-03T16:51:29.4765474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:51:29.4765858Z     x = self.layer3(x)
2025-11-03T16:51:29.4766201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:51:29.4766560Z     out = self.conv1(x)
2025-11-03T16:51:29.4766678Z 
2025-11-03T16:51:29.4766788Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4767200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4767551Z     return mod(*inputs)
2025-11-03T16:51:29.4767890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4768268Z     return self._forward_impl(x)
2025-11-03T16:51:29.4768651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:51:29.4769035Z     x = self.layer3(x)
2025-11-03T16:51:29.4769376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:51:29.4769739Z     out = self.relu(out)
2025-11-03T16:51:29.4769860Z 
2025-11-03T16:51:29.4769974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4770358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4770703Z     return mod(*inputs)
2025-11-03T16:51:29.4771040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4771410Z     return self._forward_impl(x)
2025-11-03T16:51:29.4771785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:51:29.4772170Z     x = self.layer3(x)
2025-11-03T16:51:29.4772509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:51:29.4772870Z     out = self.conv2(out)
2025-11-03T16:51:29.4772993Z 
2025-11-03T16:51:29.4773102Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4773524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4773868Z     return mod(*inputs)
2025-11-03T16:51:29.4774206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4774586Z     return self._forward_impl(x)
2025-11-03T16:51:29.4775013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:51:29.4775417Z     x = self.layer3(x)
2025-11-03T16:51:29.4775763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:51:29.4776128Z     out = self.relu(out)
2025-11-03T16:51:29.4776254Z 
2025-11-03T16:51:29.4776366Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4776758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4777144Z     return mod(*inputs)
2025-11-03T16:51:29.4777491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4777874Z     return self._forward_impl(x)
2025-11-03T16:51:29.4778260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:51:29.4778653Z     x = self.layer4(x)
2025-11-03T16:51:29.4779002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:51:29.4779373Z     out = self.conv1(x)
2025-11-03T16:51:29.4779493Z 
2025-11-03T16:51:29.4779608Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4780047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4780413Z     return mod(*inputs)
2025-11-03T16:51:29.4780776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4781160Z     return self._forward_impl(x)
2025-11-03T16:51:29.4781571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:51:29.4781985Z     x = self.layer4(x)
2025-11-03T16:51:29.4782376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:51:29.4782753Z     out = self.relu(out)
2025-11-03T16:51:29.4782879Z 
2025-11-03T16:51:29.4782993Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4783391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4783760Z     return mod(*inputs)
2025-11-03T16:51:29.4784121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4784509Z     return self._forward_impl(x)
2025-11-03T16:51:29.4784999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:51:29.4785407Z     x = self.layer4(x)
2025-11-03T16:51:29.4785759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:51:29.4786313Z     out = self.conv2(out)
2025-11-03T16:51:29.4786460Z 
2025-11-03T16:51:29.4786580Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4786987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4787363Z     return mod(*inputs)
2025-11-03T16:51:29.4787729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4788120Z     return self._forward_impl(x)
2025-11-03T16:51:29.4788523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:51:29.4788931Z     x = self.layer4(x)
2025-11-03T16:51:29.4789374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-11-03T16:51:29.4789767Z     identity = self.downsample(x)
2025-11-03T16:51:29.4789913Z 
2025-11-03T16:51:29.4790026Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4790435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4790859Z     return mod(*inputs)
2025-11-03T16:51:29.4791226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4791620Z     return self._forward_impl(x)
2025-11-03T16:51:29.4792019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:51:29.4792427Z     x = self.layer4(x)
2025-11-03T16:51:29.4792822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:51:29.4793205Z     out = self.relu(out)
2025-11-03T16:51:29.4793334Z 
2025-11-03T16:51:29.4793450Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4793846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4794204Z     return mod(*inputs)
2025-11-03T16:51:29.4794562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4794951Z     return self._forward_impl(x)
2025-11-03T16:51:29.4795342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:51:29.4795746Z     x = self.layer4(x)
2025-11-03T16:51:29.4796098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:51:29.4796470Z     out = self.conv1(x)
2025-11-03T16:51:29.4796592Z 
2025-11-03T16:51:29.4796705Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4797105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4797455Z     return mod(*inputs)
2025-11-03T16:51:29.4797847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4798227Z     return self._forward_impl(x)
2025-11-03T16:51:29.4798615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:51:29.4799020Z     x = self.layer4(x)
2025-11-03T16:51:29.4799371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:51:29.4799742Z     out = self.relu(out)
2025-11-03T16:51:29.4799867Z 
2025-11-03T16:51:29.4799979Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4800380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4800737Z     return mod(*inputs)
2025-11-03T16:51:29.4801092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4801468Z     return self._forward_impl(x)
2025-11-03T16:51:29.4801857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:51:29.4802251Z     x = self.layer4(x)
2025-11-03T16:51:29.4802599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:51:29.4802971Z     out = self.conv2(out)
2025-11-03T16:51:29.4803098Z 
2025-11-03T16:51:29.4803213Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4803608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4803962Z     return mod(*inputs)
2025-11-03T16:51:29.4804348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4804728Z     return self._forward_impl(x)
2025-11-03T16:51:29.4805116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-11-03T16:51:29.4805510Z     x = self.avgpool(x)
2025-11-03T16:51:29.4805647Z 
2025-11-03T16:51:29.4805772Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:29.4806170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:29.4806532Z     return mod(*inputs)
2025-11-03T16:51:29.4806893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:51:29.4807284Z     return self._forward_impl(x)
2025-11-03T16:51:29.4807684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl
2025-11-03T16:51:29.4808094Z     x = self.fc(x)
2025-11-03T16:51:29.4808211Z 
2025-11-03T16:51:41.7311947Z Compilation time (from dynamo_timed): 21.783976043
2025-11-03T16:51:41.7312268Z pass
2025-11-03T16:51:41.7312595Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:41.7314281Z TIMING: _recursive_pre_grad_passes:0.00443 _recursive_joint_graph_passes:0.50449 _recursive_post_grad_passes:0.04481 async_compile.wait:0.90767 code_gen:12.20754 inductor_compile:14.36097 backend_compile:19.02041 gc:0.00129 entire_frame_compile:21.78398 total_wall_time:21.78398
2025-11-03T16:51:41.7315503Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:3086 | FakeTensor.__torch_dispatch__:2339 | attempt fast:90 | fast is_contiguous:86 | slow both tensors nontrivially broadcast:4 | ProxyTorchDispatchMode.__torch_dispatch__:724
2025-11-03T16:51:41.7316237Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-11-03T16:51:44.1226664Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:51:44.1228489Z   import pynvml  # type: ignore[import]
2025-11-03T16:51:46.4986369Z 
2025-11-03T16:51:46.7084215Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:51:46.7084533Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:51:46.7085404Z cpu  eval  functorch_maml_omniglot            
2025-11-03T16:51:46.7131922Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:46.7175311Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:46.7209847Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:48.9537436Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:48.9537988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:48.9538447Z     return mod(*inputs)
2025-11-03T16:51:48.9538576Z 
2025-11-03T16:51:48.9538678Z cudagraph partition due to non gpu ops
2025-11-03T16:51:48.9538941Z cudagraph partition due to non gpu ops
2025-11-03T16:51:48.9539237Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:48.9539664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:48.9540051Z     return mod(*inputs)
2025-11-03T16:51:48.9540180Z 
2025-11-03T16:51:48.9540297Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:48.9540705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:48.9541058Z     return mod(*inputs)
2025-11-03T16:51:48.9541176Z 
2025-11-03T16:51:48.9541304Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:48.9542058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:48.9542428Z     return mod(*inputs)
2025-11-03T16:51:48.9542543Z 
2025-11-03T16:51:48.9542668Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:48.9543075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:48.9543502Z     return mod(*inputs)
2025-11-03T16:51:48.9543627Z 
2025-11-03T16:51:48.9543741Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:48.9544145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:48.9544500Z     return mod(*inputs)
2025-11-03T16:51:48.9544912Z 
2025-11-03T16:51:48.9545043Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:48.9545441Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:48.9545873Z     return mod(*inputs)
2025-11-03T16:51:48.9545991Z 
2025-11-03T16:51:48.9546108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:48.9546503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:48.9546859Z     return mod(*inputs)
2025-11-03T16:51:48.9546979Z 
2025-11-03T16:51:48.9547096Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:48.9547495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:48.9547852Z     return mod(*inputs)
2025-11-03T16:51:48.9547964Z 
2025-11-03T16:51:48.9548083Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:48.9548514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:51:48.9548886Z     return mod(*inputs)
2025-11-03T16:51:48.9549004Z 
2025-11-03T16:51:58.8259037Z Compilation time (from dynamo_timed): 11.64430719
2025-11-03T16:51:58.8259437Z pass
2025-11-03T16:51:58.8259850Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:58.8261158Z TIMING: _recursive_pre_grad_passes:0.00358 _recursive_joint_graph_passes:0.33616 _recursive_post_grad_passes:0.01878 async_compile.wait:0.81026 code_gen:9.87112 inductor_compile:10.0328 backend_compile:11.26776 gc:0.0004 entire_frame_compile:11.64431 total_wall_time:11.64431
2025-11-03T16:51:58.8262194Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:296 | FakeTensorMode.__torch_dispatch__:927 | ProxyTorchDispatchMode.__torch_dispatch__:155
2025-11-03T16:51:58.8262744Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-11-03T16:52:00.4332317Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: 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.
2025-11-03T16:52:00.4333761Z   import pynvml  # type: ignore[import]
2025-11-03T16:52:02.7937231Z 
2025-11-03T16:52:02.9728136Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:52:02.9728455Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:52:02.9728709Z cpu  eval  lennard_jones                      
2025-11-03T16:52:02.9741547Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:52:02.9762467Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:52:02.9772243Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:52:04.9522576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:04.9523097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:52:04.9523526Z     return mod(*inputs)
2025-11-03T16:52:04.9523654Z 
2025-11-03T16:52:04.9524121Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:04.9524559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:52:04.9524927Z     return mod(*inputs)
2025-11-03T16:52:04.9525066Z 
2025-11-03T16:52:04.9525189Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:04.9525668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:52:04.9526024Z     return mod(*inputs)
2025-11-03T16:52:04.9526136Z 
2025-11-03T16:52:04.9526254Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:04.9526649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:52:04.9526995Z     return mod(*inputs)
2025-11-03T16:52:04.9527108Z 
2025-11-03T16:52:04.9527229Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:04.9527678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:52:04.9528014Z     return mod(*inputs)
2025-11-03T16:52:04.9528130Z 
2025-11-03T16:52:04.9528241Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:04.9528627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:52:04.9528974Z     return mod(*inputs)
2025-11-03T16:52:04.9529081Z 
2025-11-03T16:52:04.9529198Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:04.9529583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:52:04.9529973Z     return mod(*inputs)
2025-11-03T16:52:04.9530087Z 
2025-11-03T16:52:04.9530193Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:04.9530571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:52:04.9530917Z     return mod(*inputs)
2025-11-03T16:52:04.9531024Z 
2025-11-03T16:52:04.9531139Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:04.9531521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:52:04.9531887Z     return mod(*inputs)
2025-11-03T16:52:04.9531993Z 
2025-11-03T16:52:13.7873413Z Compilation time (from dynamo_timed): 10.348686396
2025-11-03T16:52:13.7876921Z pass
2025-11-03T16:52:13.7877967Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:52:13.7878890Z TIMING: _recursive_pre_grad_passes:0.00356 _recursive_joint_graph_passes:0.34834 _recursive_post_grad_passes:0.01673 async_compile.wait:0.60102 code_gen:8.75537 inductor_compile:8.85435 backend_compile:10.03446 gc:0.00019 entire_frame_compile:10.34869 total_wall_time:10.34869
2025-11-03T16:52:13.7880071Z STATS: call_* op count: 9 | FakeTensor.__torch_dispatch__:102 | FakeTensorMode.__torch_dispatch__:613 | attempt fast:8 | fast is_contiguous:8 | ProxyTorchDispatchMode.__torch_dispatch__:91
2025-11-03T16:52:13.7880739Z Dynamo produced 1 graphs covering 9 ops with 0 graph breaks (0 unique)
2025-11-03T16:52:15.0306169Z accuracy            pass_rate=96.30%
2025-11-03T16:52:15.0306530Z calls_captured      gmean=0.00x mean=315.185x
2025-11-03T16:52:15.0306804Z unique_graphs       gmean=0.00x mean=14.481x
2025-11-03T16:52:15.0307084Z graph_breaks        gmean=0.00x mean=11.148x
2025-11-03T16:52:15.0311901Z unique_graph_breaks gmean=0.00x mean=1.704x
2025-11-03T16:52:15.0314649Z autograd_captures   gmean=0.00x mean=0.000x
2025-11-03T16:52:15.0322605Z autograd_compiles   gmean=0.00x mean=0.000x
2025-11-03T16:52:15.0325381Z cudagraph_skips     gmean=0.00x mean=9.852x
2025-11-03T16:52:15.0325643Z compilation_latency mean=29.132 seconds
2025-11-03T16:52:15.8192659Z + 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
2025-11-03T16:52:16.1104498Z BERT_pytorch                        PASS
2025-11-03T16:52:16.1105456Z Background_Matting                  XFAIL
2025-11-03T16:52:16.1111393Z LearningToPaint                     PASS
2025-11-03T16:52:16.1111636Z Super_SloMo                         PASS
2025-11-03T16:52:16.1118120Z alexnet                             PASS
2025-11-03T16:52:16.1122306Z basic_gnn_edgecnn                   PASS
2025-11-03T16:52:16.1126309Z basic_gnn_gcn                       PASS
2025-11-03T16:52:16.1126541Z basic_gnn_gin                       PASS
2025-11-03T16:52:16.1140683Z basic_gnn_sage                      PASS
2025-11-03T16:52:16.1142290Z dcgan                               PASS
2025-11-03T16:52:16.1148766Z demucs                              PASS
2025-11-03T16:52:16.1156199Z densenet121                         PASS
2025-11-03T16:52:16.1156552Z detectron2_fasterrcnn_r_101_c4      PASS
2025-11-03T16:52:16.1161467Z detectron2_fasterrcnn_r_101_dc5     PASS
2025-11-03T16:52:16.1161822Z detectron2_fasterrcnn_r_101_fpn     PASS
2025-11-03T16:52:16.1167921Z detectron2_fasterrcnn_r_50_c4       PASS
2025-11-03T16:52:16.1171009Z detectron2_fasterrcnn_r_50_dc5      PASS
2025-11-03T16:52:16.1179926Z detectron2_fasterrcnn_r_50_fpn      PASS
2025-11-03T16:52:16.1180668Z detectron2_fcos_r_50_fpn            PASS
2025-11-03T16:52:16.1181935Z dlrm                                PASS
2025-11-03T16:52:16.1188765Z doctr_det_predictor                 PASS
2025-11-03T16:52:16.1201239Z doctr_reco_predictor                PASS
2025-11-03T16:52:16.1205969Z drq                                 PASS
2025-11-03T16:52:16.1211601Z fastNLP_Bert                        PASS
2025-11-03T16:52:16.1216002Z functorch_dp_cifar10                PASS
2025-11-03T16:52:16.1218993Z functorch_maml_omniglot             PASS
2025-11-03T16:52:16.1219427Z lennard_jones                       PASS
2025-11-03T16:52:16.1785390Z + 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
2025-11-03T16:52:16.4654050Z BERT_pytorch                        PASS
2025-11-03T16:52:16.4654398Z Background_Matting                  PASS
2025-11-03T16:52:16.4658319Z LearningToPaint                     PASS
2025-11-03T16:52:16.4658900Z Super_SloMo                         PASS
2025-11-03T16:52:16.4659157Z alexnet                             PASS
2025-11-03T16:52:16.4661332Z basic_gnn_edgecnn                   PASS
2025-11-03T16:52:16.4664987Z basic_gnn_gcn                       PASS
2025-11-03T16:52:16.4671540Z basic_gnn_gin                       PASS
2025-11-03T16:52:16.4681421Z basic_gnn_sage                      PASS
2025-11-03T16:52:16.4685112Z dcgan                               PASS
2025-11-03T16:52:16.4685368Z demucs                              PASS
2025-11-03T16:52:16.4685602Z densenet121                         PASS
2025-11-03T16:52:16.4685888Z detectron2_fasterrcnn_r_101_c4      PASS
2025-11-03T16:52:16.4697431Z detectron2_fasterrcnn_r_101_dc5     PASS
2025-11-03T16:52:16.4697755Z detectron2_fasterrcnn_r_101_fpn     PASS
2025-11-03T16:52:16.4698014Z detectron2_fasterrcnn_r_50_c4       PASS
2025-11-03T16:52:16.4702153Z detectron2_fasterrcnn_r_50_dc5      PASS
2025-11-03T16:52:16.4702674Z detectron2_fasterrcnn_r_50_fpn      PASS
2025-11-03T16:52:16.4713573Z detectron2_fcos_r_50_fpn            PASS_BUT_FLAKY
2025-11-03T16:52:16.4713894Z dlrm                                PASS
2025-11-03T16:52:16.4715427Z doctr_det_predictor                 PASS
2025-11-03T16:52:16.4717295Z doctr_reco_predictor                PASS
2025-11-03T16:52:16.4720774Z drq                                 PASS
2025-11-03T16:52:16.4723686Z fastNLP_Bert                        PASS
2025-11-03T16:52:16.4726996Z functorch_dp_cifar10                PASS
2025-11-03T16:52:16.4730303Z functorch_maml_omniglot             PASS
2025-11-03T16:52:16.4733802Z lennard_jones                       PASS
2025-11-03T16:52:16.5309201Z + sccache_epilogue
2025-11-03T16:52:16.5309546Z + echo '::group::Sccache Compilation Log'
2025-11-03T16:52:16.5310514Z ##[group]Sccache Compilation Log
2025-11-03T16:52:16.5310787Z + echo '=================== sccache compilation log ==================='
2025-11-03T16:52:16.5311090Z =================== sccache compilation log ===================
2025-11-03T16:52:16.5311522Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-11-03T16:52:16.5540047Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-11-03T16:52:16.5540578Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-11-03T16:52:16.5540934Z + sccache --show-stats
2025-11-03T16:52:16.5580339Z Compile requests                    524
2025-11-03T16:52:16.5580686Z Compile requests executed             0
2025-11-03T16:52:16.5581245Z Cache hits                            0
2025-11-03T16:52:16.5581468Z Cache misses                          0
2025-11-03T16:52:16.5581709Z Cache hits rate                       -
2025-11-03T16:52:16.5581943Z Cache timeouts                        0
2025-11-03T16:52:16.5582172Z Cache read errors                     0
2025-11-03T16:52:16.5582392Z Forced recaches                       0
2025-11-03T16:52:16.5582628Z Cache write errors                    0
2025-11-03T16:52:16.5582859Z Cache errors                          0
2025-11-03T16:52:16.5583084Z Compilations                          0
2025-11-03T16:52:16.5583307Z Compilation failures                  0
2025-11-03T16:52:16.5583552Z Non-cacheable compilations            0
2025-11-03T16:52:16.5583789Z Non-cacheable calls                  26
2025-11-03T16:52:16.5584022Z Non-compilation calls               498
2025-11-03T16:52:16.5584261Z Unsupported compiler calls            0
2025-11-03T16:52:16.5584502Z Average cache write               0.000 s
2025-11-03T16:52:16.5584961Z Average compiler                  0.000 s
2025-11-03T16:52:16.5585207Z Average cache read hit            0.000 s
2025-11-03T16:52:16.5585461Z Failed distributed compilations       0
2025-11-03T16:52:16.5585623Z 
2025-11-03T16:52:16.5585705Z Non-cacheable reasons:
2025-11-03T16:52:16.5585911Z -E                                   26
2025-11-03T16:52:16.5586058Z 
2025-11-03T16:52:16.5586516Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-11-03T16:52:16.5586856Z Version (client)                0.10.0
2025-11-03T16:52:16.5587087Z + sccache --stop-server
2025-11-03T16:52:16.5608614Z Stopping sccache server...
2025-11-03T16:52:16.5608897Z Compile requests                    524
2025-11-03T16:52:16.5609159Z Compile requests executed             0
2025-11-03T16:52:16.5609384Z Cache hits                            0
2025-11-03T16:52:16.5609597Z Cache misses                          0
2025-11-03T16:52:16.5609826Z Cache hits rate                       -
2025-11-03T16:52:16.5610059Z Cache timeouts                        0
2025-11-03T16:52:16.5610275Z Cache read errors                     0
2025-11-03T16:52:16.5610549Z Forced recaches                       0
2025-11-03T16:52:16.5610772Z Cache write errors                    0
2025-11-03T16:52:16.5610989Z Cache errors                          0
2025-11-03T16:52:16.5611206Z Compilations                          0
2025-11-03T16:52:16.5611436Z Compilation failures                  0
2025-11-03T16:52:16.5611668Z Non-cacheable compilations            0
2025-11-03T16:52:16.5611892Z Non-cacheable calls                  26
2025-11-03T16:52:16.5612110Z Non-compilation calls               498
2025-11-03T16:52:16.5612325Z Unsupported compiler calls            0
2025-11-03T16:52:16.5612555Z Average cache write               0.000 s
2025-11-03T16:52:16.5612786Z Average compiler                  0.000 s
2025-11-03T16:52:16.5613022Z Average cache read hit            0.000 s
2025-11-03T16:52:16.5613256Z Failed distributed compilations       0
2025-11-03T16:52:16.5613408Z 
2025-11-03T16:52:16.5613489Z Non-cacheable reasons:
2025-11-03T16:52:16.5613692Z -E                                   26
2025-11-03T16:52:16.5614007Z 
2025-11-03T16:52:16.5614200Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-11-03T16:52:16.5614527Z Version (client)                0.10.0
2025-11-03T16:52:16.5614795Z + echo ::endgroup::
2025-11-03T16:52:16.5615337Z ##[endgroup]
2025-11-03T16:52:16.5615506Z + cleanup_workspace
2025-11-03T16:52:16.5615848Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-11-03T16:52:16.5616349Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-11-03T16:52:16.5616760Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-11-03T16:52:16.5617067Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-11-03T16:52:16.5617438Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-11-03T16:52:16.5617862Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-11-03T16:52:16.5618182Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-11-03T16:52:17.0444417Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-11-03T16:52:17.0444796Z with:
2025-11-03T16:52:17.0445034Z   benchmark-results-dir: test/test-reports
2025-11-03T16:52:17.0445325Z   dry-run: false
2025-11-03T16:52:17.0445537Z   schema-version: v3
2025-11-03T16:52:17.0445995Z   github-token: ***
2025-11-03T16:52:17.0446189Z env:
2025-11-03T16:52:17.0446382Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:17.0446765Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:17.0447168Z ##[endgroup]
2025-11-03T16:52:17.0472147Z ##[group]Run set -eux
2025-11-03T16:52:17.0472391Z set -eux
2025-11-03T16:52:17.0472565Z 
2025-11-03T16:52:17.0472748Z if [[ -n "" ]]; then
2025-11-03T16:52:17.0472975Z   source ""
2025-11-03T16:52:17.0473163Z fi
2025-11-03T16:52:17.0473426Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-11-03T16:52:17.0473776Z 
2025-11-03T16:52:17.0473952Z DEVICE_NAME=""
2025-11-03T16:52:17.0474149Z DEVICE_TYPE=""
2025-11-03T16:52:17.0474340Z 
2025-11-03T16:52:17.0474530Z if command -v nvidia-smi; then
2025-11-03T16:52:17.0474869Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-11-03T16:52:17.0475269Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-11-03T16:52:17.0475649Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-11-03T16:52:17.0475965Z   python3 -mpip install torch==2.7.1
2025-11-03T16:52:17.0476225Z elif command -v rocminfo; then
2025-11-03T16:52:17.0476539Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-11-03T16:52:17.0476931Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-11-03T16:52:17.0477324Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-11-03T16:52:17.0477670Z   # GPU device name coming from rocminfo instead
2025-11-03T16:52:17.0477932Z   DEVICE_NAME=rocm
2025-11-03T16:52:17.0478277Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-11-03T16:52:17.0478619Z fi
2025-11-03T16:52:17.0478786Z 
2025-11-03T16:52:17.0478998Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-11-03T16:52:17.0479297Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-11-03T16:52:17.0488194Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:17.0488485Z env:
2025-11-03T16:52:17.0488666Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:17.0489007Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:17.0489342Z ##[endgroup]
2025-11-03T16:52:17.0520150Z + [[ -n '' ]]
2025-11-03T16:52:17.0523551Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-11-03T16:52:17.2480603Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:52:18.0927527Z Collecting boto3==1.35.33
2025-11-03T16:52:18.1083629Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-11-03T16:52:18.3651761Z Collecting psutil==7.0.0
2025-11-03T16:52:18.3694914Z   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)
2025-11-03T16:52:18.4020517Z Collecting pynvml==12.0.0
2025-11-03T16:52:18.4059724Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-11-03T16:52:18.4132496Z 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)
2025-11-03T16:52:18.4458350Z Collecting s3transfer<0.11.0,>=0.10.0
2025-11-03T16:52:18.4513158Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-11-03T16:52:19.3778266Z Collecting botocore<1.36.0,>=1.35.33
2025-11-03T16:52:19.3814764Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-11-03T16:52:19.5171849Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-11-03T16:52:19.5205755Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-11-03T16:52:19.5304075Z 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)
2025-11-03T16:52:19.5310252Z 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)
2025-11-03T16:52:19.7199955Z 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)
2025-11-03T16:52:19.8390371Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-11-03T16:52:20.2217196Z   Attempting uninstall: nvidia-ml-py
2025-11-03T16:52:20.2217870Z     Found existing installation: nvidia-ml-py 11.525.84
2025-11-03T16:52:20.2230216Z     Uninstalling nvidia-ml-py-11.525.84:
2025-11-03T16:52:20.2369857Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-11-03T16:52:20.2965701Z   Attempting uninstall: psutil
2025-11-03T16:52:20.2966066Z     Found existing installation: psutil 5.9.8
2025-11-03T16:52:20.3018190Z     Uninstalling psutil-5.9.8:
2025-11-03T16:52:20.3021694Z       Successfully uninstalled psutil-5.9.8
2025-11-03T16:52:20.4535639Z 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
2025-11-03T16:52:20.5844934Z + DEVICE_NAME=
2025-11-03T16:52:20.5845251Z + DEVICE_TYPE=
2025-11-03T16:52:20.5845551Z + command -v nvidia-smi
2025-11-03T16:52:20.5845827Z + command -v rocminfo
2025-11-03T16:52:20.5846139Z + echo DEVICE_NAME=
2025-11-03T16:52:20.5846346Z + echo DEVICE_TYPE=
2025-11-03T16:52:20.5874969Z ##[group]Run set -eux
2025-11-03T16:52:20.5875207Z set -eux
2025-11-03T16:52:20.5875450Z 
2025-11-03T16:52:20.5875650Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-11-03T16:52:20.5875908Z   echo "Missing github-token input"
2025-11-03T16:52:20.5876128Z   exit 1
2025-11-03T16:52:20.5876305Z fi
2025-11-03T16:52:20.5881317Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:20.5881588Z env:
2025-11-03T16:52:20.5881765Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:20.5882088Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:20.5882418Z   DEVICE_NAME: 
2025-11-03T16:52:20.5882582Z   DEVICE_TYPE: 
2025-11-03T16:52:20.5882999Z   GITHUB_TOKEN: ***
2025-11-03T16:52:20.5883182Z ##[endgroup]
2025-11-03T16:52:20.5910748Z + [[ -z *** ]]
2025-11-03T16:52:20.5956616Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-11-03T16:52:20.5956983Z with:
2025-11-03T16:52:20.5957360Z   github-token: ***
2025-11-03T16:52:20.5957574Z env:
2025-11-03T16:52:20.5957793Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:20.5958179Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:20.5958584Z   DEVICE_NAME: 
2025-11-03T16:52:20.5958796Z   DEVICE_TYPE: 
2025-11-03T16:52:20.5959087Z ##[endgroup]
2025-11-03T16:52:20.5980540Z ##[group]Run set -eux
2025-11-03T16:52:20.5980764Z set -eux
2025-11-03T16:52:20.5980947Z 
2025-11-03T16:52:20.5981289Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-11-03T16:52:20.5987061Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:20.5987339Z env:
2025-11-03T16:52:20.5987516Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:20.5987852Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:20.5988265Z   DEVICE_NAME: 
2025-11-03T16:52:20.5988445Z   DEVICE_TYPE: 
2025-11-03T16:52:20.5988779Z   GITHUB_TOKEN: ***
2025-11-03T16:52:20.5989089Z ##[endgroup]
2025-11-03T16:52:20.6013320Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19040285537 i-0ae44a326bd5f2c5d
2025-11-03T16:52:21.7330903Z setting job-id=54378387656
2025-11-03T16:52:21.7331385Z setting job-name=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:52:21.7444836Z ##[group]Run set -eux
2025-11-03T16:52:21.7445066Z set -eux
2025-11-03T16:52:21.7445242Z 
2025-11-03T16:52:21.7445418Z if [[ -n "" ]]; then
2025-11-03T16:52:21.7445625Z   source ""
2025-11-03T16:52:21.7445796Z fi
2025-11-03T16:52:21.7445956Z 
2025-11-03T16:52:21.7446230Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-11-03T16:52:21.7446598Z   --schema-version "${SCHEMA_VERSION}" \
2025-11-03T16:52:21.7446838Z   --repo "${REPO}" \
2025-11-03T16:52:21.7447081Z   --head-branch "${HEAD_BRANCH}" \
2025-11-03T16:52:21.7447325Z   --head-sha "${HEAD_SHA}" \
2025-11-03T16:52:21.7447576Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-11-03T16:52:21.7447836Z   --run-attempt "${RUN_ATTEMPT}" \
2025-11-03T16:52:21.7448073Z   --job-id "${JOB_ID}" \
2025-11-03T16:52:21.7448301Z   --job-name "${JOB_NAME}"
2025-11-03T16:52:21.7453370Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:21.7453673Z env:
2025-11-03T16:52:21.7453845Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:21.7454187Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:21.7454539Z   DEVICE_NAME: 
2025-11-03T16:52:21.7454723Z   DEVICE_TYPE: 
2025-11-03T16:52:21.7454906Z   SCHEMA_VERSION: v3
2025-11-03T16:52:21.7455094Z   REPO: pytorch/pytorch
2025-11-03T16:52:21.7455302Z   HEAD_BRANCH: refs/heads/main
2025-11-03T16:52:21.7455552Z   HEAD_SHA: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:52:21.7455807Z   WORKFLOW_RUN_ID: 19040285537
2025-11-03T16:52:21.7456027Z   RUN_ATTEMPT: 1
2025-11-03T16:52:21.7456207Z   JOB_ID: 54378387656
2025-11-03T16:52:21.7456533Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:52:21.7456887Z ##[endgroup]
2025-11-03T16:52:21.7497045Z + [[ -n '' ]]
2025-11-03T16:52:21.7498428Z + 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 3f6538febd727b782e6e13cfd026a309fb14351d --workflow-id 19040285537 --run-attempt 1 --job-id 54378387656 --job-name 'inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)'
2025-11-03T16:52:21.7818654Z ##[group]Run set -eux
2025-11-03T16:52:21.7818874Z set -eux
2025-11-03T16:52:21.7819051Z 
2025-11-03T16:52:21.7819244Z if [[ -n "" ]]; then
2025-11-03T16:52:21.7819453Z   source ""
2025-11-03T16:52:21.7819629Z fi
2025-11-03T16:52:21.7819793Z 
2025-11-03T16:52:21.7820080Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-11-03T16:52:21.7829942Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:21.7830226Z env:
2025-11-03T16:52:21.7830409Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:21.7830762Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:21.7831097Z   DEVICE_NAME: 
2025-11-03T16:52:21.7831276Z   DEVICE_TYPE: 
2025-11-03T16:52:21.7831437Z ##[endgroup]
2025-11-03T16:52:21.7855643Z + [[ -n '' ]]
2025-11-03T16:52:21.7856517Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-11-03T16:52:21.8231055Z INFO:root:Fail to import torch to get the device name
2025-11-03T16:52:21.8358499Z ##[group]Run set -eux
2025-11-03T16:52:21.8358733Z set -eux
2025-11-03T16:52:21.8358910Z 
2025-11-03T16:52:21.8359101Z # TODO (huydhn): Implement this part
2025-11-03T16:52:21.8359393Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:52:21.8364419Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:21.8364702Z env:
2025-11-03T16:52:21.8364887Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:21.8365211Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:21.8365552Z   DEVICE_NAME: 
2025-11-03T16:52:21.8365731Z   DEVICE_TYPE: 
2025-11-03T16:52:21.8365906Z ##[endgroup]
2025-11-03T16:52:21.8389224Z + echo 'dependencies={}'
2025-11-03T16:52:21.8434023Z ##[group]Run set -eux
2025-11-03T16:52:21.8434267Z set -eux
2025-11-03T16:52:21.8434438Z 
2025-11-03T16:52:21.8434616Z if [[ -n "" ]]; then
2025-11-03T16:52:21.8434837Z   source ""
2025-11-03T16:52:21.8435011Z fi
2025-11-03T16:52:21.8435162Z 
2025-11-03T16:52:21.8435365Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-11-03T16:52:21.8435702Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-11-03T16:52:21.8436047Z   # We don't want the job to fail if the directory doesn't exist
2025-11-03T16:52:21.8436319Z   exit 0
2025-11-03T16:52:21.8436482Z fi
2025-11-03T16:52:21.8436646Z 
2025-11-03T16:52:21.8436830Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-11-03T16:52:21.8437166Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-11-03T16:52:21.8437546Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-11-03T16:52:21.8437850Z     --metadata "${BENCHMARK_METADATA}" \
2025-11-03T16:52:21.8438103Z     --runners "${RUNNER_INFO}" \
2025-11-03T16:52:21.8438354Z     --dependencies "${DEPENDENCIES}" \
2025-11-03T16:52:21.8438584Z     --dry-run
2025-11-03T16:52:21.8438770Z else
2025-11-03T16:52:21.8439038Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-11-03T16:52:21.8439409Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-11-03T16:52:21.8439696Z     --metadata "${BENCHMARK_METADATA}" \
2025-11-03T16:52:21.8439937Z     --runners "${RUNNER_INFO}" \
2025-11-03T16:52:21.8440185Z     --dependencies "${DEPENDENCIES}"
2025-11-03T16:52:21.8440412Z fi
2025-11-03T16:52:21.8445165Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:21.8445423Z env:
2025-11-03T16:52:21.8445604Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:21.8445939Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:21.8446277Z   DEVICE_NAME: 
2025-11-03T16:52:21.8446447Z   DEVICE_TYPE: 
2025-11-03T16:52:21.8446654Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-11-03T16:52:21.8446885Z   DRY_RUN: false
2025-11-03T16:52:21.8447855Z   BENCHMARK_METADATA: {"timestamp": 1762188741, "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": "3f6538febd727b782e6e13cfd026a309fb14351d", "workflow_id": 19040285537, "run_attempt": 1, "job_id": 54378387656}
2025-11-03T16:52:21.8449072Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-40-157.ec2.internal"}, "name": "", "type": ""}]
2025-11-03T16:52:21.8449495Z   DEPENDENCIES: {}
2025-11-03T16:52:21.8449676Z ##[endgroup]
2025-11-03T16:52:21.8472504Z + [[ -n '' ]]
2025-11-03T16:52:21.8472772Z + [[ ! -d test/test-reports ]]
2025-11-03T16:52:21.8473014Z + [[ false == \t\r\u\e ]]
2025-11-03T16:52:21.8475066Z + 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": 1762188741, "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": "3f6538febd727b782e6e13cfd026a309fb14351d", "workflow_id": 19040285537, "run_attempt": 1, "job_id": 54378387656}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-40-157.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-11-03T16:52:21.9743047Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387656/inference_torchbench.json
2025-11-03T16:52:22.0040908Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-11-03T16:52:22.2375414Z ##[group]Run cat test/**/*_toprint.log || true
2025-11-03T16:52:22.2375732Z cat test/**/*_toprint.log || true
2025-11-03T16:52:22.2380746Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:22.2381040Z env:
2025-11-03T16:52:22.2381227Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:22.2381559Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:22.2381899Z   DEVICE_NAME: 
2025-11-03T16:52:22.2382079Z   DEVICE_TYPE: 
2025-11-03T16:52:22.2382254Z ##[endgroup]
2025-11-03T16:52:22.2460465Z cat: 'test/**/*_toprint.log': No such file or directory
2025-11-03T16:52:22.2498274Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-11-03T16:52:22.2498559Z kill "$MONITOR_SCRIPT_PID"
2025-11-03T16:52:22.2503530Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:22.2503802Z env:
2025-11-03T16:52:22.2504012Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:22.2504341Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:22.2504949Z   DEVICE_NAME: 
2025-11-03T16:52:22.2505139Z   DEVICE_TYPE: 
2025-11-03T16:52:22.2505327Z   MONITOR_SCRIPT_PID: 48570
2025-11-03T16:52:22.2505529Z ##[endgroup]
2025-11-03T16:52:22.2611536Z Prepare all required actions
2025-11-03T16:52:22.2612086Z Getting action download info
2025-11-03T16:52:22.4594174Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-11-03T16:52:22.6946195Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-11-03T16:52:23.1730343Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-11-03T16:52:23.1730619Z with:
2025-11-03T16:52:23.1730937Z   file-suffix: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656
2025-11-03T16:52:23.1731304Z   s3-bucket: gha-artifacts
2025-11-03T16:52:23.1731514Z env:
2025-11-03T16:52:23.1731686Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:23.1732016Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:23.1732355Z   DEVICE_NAME: 
2025-11-03T16:52:23.1732535Z   DEVICE_TYPE: 
2025-11-03T16:52:23.1732706Z ##[endgroup]
2025-11-03T16:52:23.1762982Z ##[group]Run # Remove any previous test jsons if they exist
2025-11-03T16:52:23.1763345Z # Remove any previous test jsons if they exist
2025-11-03T16:52:23.1763609Z rm -f test-jsons-*.zip
2025-11-03T16:52:23.1763921Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-11-03T16:52:23.1768887Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:23.1769159Z env:
2025-11-03T16:52:23.1769327Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:23.1769657Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:23.1770073Z   DEVICE_NAME: 
2025-11-03T16:52:23.1770252Z   DEVICE_TYPE: 
2025-11-03T16:52:23.1770549Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656
2025-11-03T16:52:23.1770875Z ##[endgroup]
2025-11-03T16:52:23.1967858Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-11-03T16:52:23.1997875Z ##[group]Run # Remove any previous test reports if they exist
2025-11-03T16:52:23.1998261Z # Remove any previous test reports if they exist
2025-11-03T16:52:23.1998548Z rm -f test-reports-*.zip
2025-11-03T16:52:23.1998892Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-11-03T16:52:23.2003938Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:23.2004213Z env:
2025-11-03T16:52:23.2004397Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:23.2004739Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:23.2005083Z   DEVICE_NAME: 
2025-11-03T16:52:23.2005263Z   DEVICE_TYPE: 
2025-11-03T16:52:23.2005560Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656
2025-11-03T16:52:23.2005902Z ##[endgroup]
2025-11-03T16:52:23.2062628Z   adding: test/test-reports/inference_torchbench.csv (deflated 60%)
2025-11-03T16:52:23.2080719Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 97%)
2025-11-03T16:52:23.2081532Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 80%)
2025-11-03T16:52:23.2117180Z ##[group]Run # Remove any previous usage logs if they exist
2025-11-03T16:52:23.2117535Z # Remove any previous usage logs if they exist
2025-11-03T16:52:23.2117807Z rm -f logs-*.zip
2025-11-03T16:52:23.2118070Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-11-03T16:52:23.2118414Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-11-03T16:52:23.2123538Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:23.2123810Z env:
2025-11-03T16:52:23.2123989Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:23.2124313Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:23.2124658Z   DEVICE_NAME: 
2025-11-03T16:52:23.2124838Z   DEVICE_TYPE: 
2025-11-03T16:52:23.2125287Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656
2025-11-03T16:52:23.2125644Z ##[endgroup]
2025-11-03T16:52:23.2197667Z   adding: usage_log.txt (deflated 96%)
2025-11-03T16:52:23.2208651Z 
2025-11-03T16:52:23.2209496Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656.zip)
2025-11-03T16:52:23.2239536Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-11-03T16:52:23.2239927Z # Remove any previous debugging artifacts if they exist
2025-11-03T16:52:23.2240240Z rm -f debug-*.zip
2025-11-03T16:52:23.2240463Z if [ -d 'test/debug' ]; then
2025-11-03T16:52:23.2240726Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-11-03T16:52:23.2240984Z fi
2025-11-03T16:52:23.2245746Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:23.2246022Z env:
2025-11-03T16:52:23.2246194Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:23.2246544Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:23.2246977Z   DEVICE_NAME: 
2025-11-03T16:52:23.2247157Z   DEVICE_TYPE: 
2025-11-03T16:52:23.2247454Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656
2025-11-03T16:52:23.2247793Z ##[endgroup]
2025-11-03T16:52:23.2374191Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:52:23.2374448Z with:
2025-11-03T16:52:23.2374641Z   s3-bucket: gha-artifacts
2025-11-03T16:52:23.2374894Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:52:23.2375245Z   retention-days: 14
2025-11-03T16:52:23.2375432Z   if-no-files-found: warn
2025-11-03T16:52:23.2375640Z   path: test-jsons-*.zip
2025-11-03T16:52:23.2375836Z   name: artifact
2025-11-03T16:52:23.2376017Z   region: us-east-1
2025-11-03T16:52:23.2376189Z env:
2025-11-03T16:52:23.2376359Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:23.2376707Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:23.2377057Z   DEVICE_NAME: 
2025-11-03T16:52:23.2377224Z   DEVICE_TYPE: 
2025-11-03T16:52:23.2377399Z ##[endgroup]
2025-11-03T16:52:23.5273402Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T16:52:23.5274218Z With the provided path, there will be 1 file uploaded
2025-11-03T16:52:23.5274605Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T16:52:23.5308308Z Starting upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656.zip
2025-11-03T16:52:23.6461328Z Finished upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656.zip
2025-11-03T16:52:23.6622198Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:52:23.6622459Z with:
2025-11-03T16:52:23.6622652Z   s3-bucket: gha-artifacts
2025-11-03T16:52:23.6622905Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:52:23.6623169Z   retention-days: 14
2025-11-03T16:52:23.6623360Z   if-no-files-found: error
2025-11-03T16:52:23.6623610Z   path: test-reports-*.zip
2025-11-03T16:52:23.6623815Z   name: artifact
2025-11-03T16:52:23.6623998Z   region: us-east-1
2025-11-03T16:52:23.6624173Z env:
2025-11-03T16:52:23.6624342Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:23.6624930Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:23.6625297Z   DEVICE_NAME: 
2025-11-03T16:52:23.6625478Z   DEVICE_TYPE: 
2025-11-03T16:52:23.6625664Z ##[endgroup]
2025-11-03T16:52:23.9739485Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T16:52:23.9739902Z With the provided path, there will be 1 file uploaded
2025-11-03T16:52:23.9740280Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T16:52:23.9777137Z Starting upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656.zip
2025-11-03T16:52:24.0984319Z Finished upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656.zip
2025-11-03T16:52:24.1151705Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:52:24.1151983Z with:
2025-11-03T16:52:24.1152179Z   s3-bucket: gha-artifacts
2025-11-03T16:52:24.1152443Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:52:24.1152705Z   retention-days: 14
2025-11-03T16:52:24.1152898Z   if-no-files-found: ignore
2025-11-03T16:52:24.1153122Z   path: logs-*.zip
2025-11-03T16:52:24.1153304Z   name: artifact
2025-11-03T16:52:24.1153484Z   region: us-east-1
2025-11-03T16:52:24.1153658Z env:
2025-11-03T16:52:24.1153826Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:24.1154166Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:24.1154511Z   DEVICE_NAME: 
2025-11-03T16:52:24.1154683Z   DEVICE_TYPE: 
2025-11-03T16:52:24.1154866Z ##[endgroup]
2025-11-03T16:52:24.3932390Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T16:52:24.3936071Z With the provided path, there will be 1 file uploaded
2025-11-03T16:52:24.3937090Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T16:52:24.3967281Z Starting upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656.zip
2025-11-03T16:52:24.5261923Z Finished upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656.zip
2025-11-03T16:52:24.5422116Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:52:24.5422387Z with:
2025-11-03T16:52:24.5422575Z   s3-bucket: gha-artifacts
2025-11-03T16:52:24.5422867Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:52:24.5423229Z   retention-days: 14
2025-11-03T16:52:24.5423427Z   if-no-files-found: ignore
2025-11-03T16:52:24.5423645Z   path: debug-*.zip
2025-11-03T16:52:24.5423833Z   name: artifact
2025-11-03T16:52:24.5424022Z   region: us-east-1
2025-11-03T16:52:24.5424197Z env:
2025-11-03T16:52:24.5424374Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:24.5424966Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:24.5425477Z   DEVICE_NAME: 
2025-11-03T16:52:24.5425656Z   DEVICE_TYPE: 
2025-11-03T16:52:24.5425838Z ##[endgroup]
2025-11-03T16:52:24.8170736Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-11-03T16:52:24.8364829Z ##[group]Run # shellcheck disable=SC2156
2025-11-03T16:52:24.8365137Z # shellcheck disable=SC2156
2025-11-03T16:52:24.8365569Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-11-03T16:52:24.8371473Z shell: /usr/bin/bash -e {0}
2025-11-03T16:52:24.8371699Z env:
2025-11-03T16:52:24.8371879Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:24.8372209Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:24.8372556Z   DEVICE_NAME: 
2025-11-03T16:52:24.8372736Z   DEVICE_TYPE: 
2025-11-03T16:52:24.8372911Z ##[endgroup]
2025-11-03T16:52:25.0330046Z Prepare all required actions
2025-11-03T16:52:25.0330429Z Getting action download info
2025-11-03T16:52:25.1879741Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-11-03T16:52:25.1880031Z with:
2025-11-03T16:52:25.1880219Z   job_id: 54378387656
2025-11-03T16:52:25.1880554Z   job_name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:52:25.1880943Z   workflow_name: inductor
2025-11-03T16:52:25.1881156Z   workflow_run_id: 19040285537
2025-11-03T16:52:25.1881369Z   workflow_attempt: 1
2025-11-03T16:52:25.1881559Z env:
2025-11-03T16:52:25.1881727Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:25.1882086Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:25.1882446Z   DEVICE_NAME: 
2025-11-03T16:52:25.1882630Z   DEVICE_TYPE: 
2025-11-03T16:52:25.1882801Z ##[endgroup]
2025-11-03T16:52:25.1907688Z ##[group]Run echo "workflow_id: 19040285537"
2025-11-03T16:52:25.1908025Z echo "workflow_id: 19040285537"
2025-11-03T16:52:25.1908282Z echo "workflow_attempt: 1"
2025-11-03T16:52:25.1908528Z echo "workflow_Name: inductor"
2025-11-03T16:52:25.1908766Z echo "job_id: 54378387656"
2025-11-03T16:52:25.1909162Z echo "job_name:  inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)"
2025-11-03T16:52:25.1909562Z echo "artifact_prefix: "
2025-11-03T16:52:25.1909795Z python3 --version
2025-11-03T16:52:25.1915078Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:25.1915356Z env:
2025-11-03T16:52:25.1915539Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:25.1915882Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:25.1916238Z   DEVICE_NAME: 
2025-11-03T16:52:25.1916427Z   DEVICE_TYPE: 
2025-11-03T16:52:25.1916610Z ##[endgroup]
2025-11-03T16:52:25.1940694Z workflow_id: 19040285537
2025-11-03T16:52:25.1940986Z workflow_attempt: 1
2025-11-03T16:52:25.1941600Z workflow_Name: inductor
2025-11-03T16:52:25.1941866Z job_id: 54378387656
2025-11-03T16:52:25.1942469Z job_name:  inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:52:25.1942834Z artifact_prefix: 
2025-11-03T16:52:25.1954264Z Python 3.9.23
2025-11-03T16:52:25.1998639Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:52:25.1998889Z with:
2025-11-03T16:52:25.1999062Z   shell: bash
2025-11-03T16:52:25.1999245Z   timeout_minutes: 5
2025-11-03T16:52:25.1999436Z   max_attempts: 5
2025-11-03T16:52:25.1999627Z   retry_wait_seconds: 30
2025-11-03T16:52:25.2000019Z   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

2025-11-03T16:52:25.2000510Z   polling_interval_seconds: 1
2025-11-03T16:52:25.2000727Z   warning_on_retry: true
2025-11-03T16:52:25.2000937Z   continue_on_error: false
2025-11-03T16:52:25.2001133Z env:
2025-11-03T16:52:25.2001317Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:25.2001663Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:25.2002028Z   DEVICE_NAME: 
2025-11-03T16:52:25.2002212Z   DEVICE_TYPE: 
2025-11-03T16:52:25.2002388Z ##[endgroup]
2025-11-03T16:52:25.4877705Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:52:25.5526536Z Collecting python-dateutil==2.8.2
2025-11-03T16:52:25.5802142Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-11-03T16:52:26.3505491Z Collecting boto3==1.35.42
2025-11-03T16:52:26.3585942Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-11-03T16:52:26.7780827Z Collecting pandas==2.1.3
2025-11-03T16:52:26.8078235Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-11-03T16:52:26.9114989Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-11-03T16:52:26.9130432Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-11-03T16:52:26.9166291Z 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)
2025-11-03T16:52:26.9168298Z 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)
2025-11-03T16:52:26.9171201Z 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)
2025-11-03T16:52:26.9666350Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-11-03T16:52:27.6333240Z Collecting numpy<2,>=1.22.4
2025-11-03T16:52:27.6378378Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-11-03T16:52:27.7925377Z Collecting tzdata>=2022.1
2025-11-03T16:52:27.7966942Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-11-03T16:52:27.8104093Z 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)
2025-11-03T16:52:27.8105274Z 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)
2025-11-03T16:52:27.8154700Z 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)
2025-11-03T16:52:27.8245260Z 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)
2025-11-03T16:52:27.8329594Z 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)
2025-11-03T16:52:27.8330633Z 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)
2025-11-03T16:52:28.0022968Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-11-03T16:52:32.3546570Z   Attempting uninstall: boto3
2025-11-03T16:52:32.3546986Z     Found existing installation: boto3 1.35.33
2025-11-03T16:52:32.3621272Z     Uninstalling boto3-1.35.33:
2025-11-03T16:52:32.3630318Z       Successfully uninstalled boto3-1.35.33
2025-11-03T16:52:32.4116513Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-11-03T16:52:33.2773439Z Command completed after 1 attempt(s).
2025-11-03T16:52:33.2831298Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-11-03T16:52:33.2831801Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-11-03T16:52:33.2832168Z   --workflow-run-id "19040285537" \
2025-11-03T16:52:33.2832446Z   --workflow-name "inductor" \
2025-11-03T16:52:33.2832697Z   --workflow-run-attempt "1" \
2025-11-03T16:52:33.2832948Z   --job-id "54378387656" \
2025-11-03T16:52:33.2833365Z   --job-name "inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" \
2025-11-03T16:52:33.2833761Z   --local-path "" \
2025-11-03T16:52:33.2833984Z   --artifact-prefix ""
2025-11-03T16:52:33.2839005Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:33.2839269Z env:
2025-11-03T16:52:33.2839454Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:33.2839796Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:33.2840148Z   DEVICE_NAME: 
2025-11-03T16:52:33.2840328Z   DEVICE_TYPE: 
2025-11-03T16:52:33.2840498Z ##[endgroup]
2025-11-03T16:52:34.2873589Z repo: pytorch/pytorch
2025-11-03T16:52:34.2874490Z Search for test log in s3 bucket: ossci-utilization
2025-11-03T16:52:34.2874955Z Downloading logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656.zip
2025-11-03T16:52:34.2875544Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387656.zip
2025-11-03T16:52:34.2876047Z Converted Log Model: UtilizationMetadata:
2025-11-03T16:52:34.2876969Z  UtilizationMetadata(level='metadata', workflow_id='19040285537', job_id='54378387656', 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=1762187186, gpu_count=0, cpu_count=32, gpu_type=None, error=None)
2025-11-03T16:52:34.2877927Z [Db Segments] detected pytest cmd: 12, generated segments: 12
2025-11-03T16:52:34.2878232Z [db model] Peek db timeseries 
2025-11-03T16:52:34.2878442Z :{
2025-11-03T16:52:34.2878614Z     "created_at": 1762188754,
2025-11-03T16:52:34.2878825Z     "type": "utilization",
2025-11-03T16:52:34.2879020Z     "tags": [
2025-11-03T16:52:34.2879194Z         "record"
2025-11-03T16:52:34.2879372Z     ],
2025-11-03T16:52:34.2879547Z     "time_stamp": 1762187186,
2025-11-03T16:52:34.2879760Z     "repo": "pytorch/pytorch",
2025-11-03T16:52:34.2880021Z     "workflow_id": 19040285537,
2025-11-03T16:52:34.2880233Z     "run_attempt": 1,
2025-11-03T16:52:34.2880420Z     "job_id": 54378387656,
2025-11-03T16:52:34.2880620Z     "workflow_name": "inductor",
2025-11-03T16:52:34.2880979Z     "job_name": "inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)",
2025-11-03T16:52:34.2881337Z     "json_data": "{}"
2025-11-03T16:52:34.2881523Z }
2025-11-03T16:52:34.2881871Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/19040285537/1/54378387656/metadata
2025-11-03T16:52:34.2882471Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/19040285537/1/54378387656/metadata 
2025-11-03T16:52:34.2883103Z Writing 311 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/19040285537/1/54378387656/time_series
2025-11-03T16:52:34.2883814Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/19040285537/1/54378387656/time_series 
2025-11-03T16:52:34.4269752Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-11-03T16:52:34.4270168Z with:
2025-11-03T16:52:34.4270372Z env:
2025-11-03T16:52:34.4270567Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:34.4270971Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:34.4271382Z   DEVICE_NAME: 
2025-11-03T16:52:34.4271694Z   DEVICE_TYPE: 
2025-11-03T16:52:34.4271888Z ##[endgroup]
2025-11-03T16:52:34.4294817Z ##[group]Run set -eou pipefail
2025-11-03T16:52:34.4295266Z set -eou pipefail
2025-11-03T16:52:34.4295480Z 
2025-11-03T16:52:34.4295762Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-11-03T16:52:34.4296099Z for _ in $(seq 1440); do
2025-11-03T16:52:34.4296361Z     # Break if no ssh session exists anymore
2025-11-03T16:52:34.4296633Z     if [ "$(who)" = "" ]; then
2025-11-03T16:52:34.4296861Z       break
2025-11-03T16:52:34.4297083Z     fi
2025-11-03T16:52:34.4297266Z     echo "."
2025-11-03T16:52:34.4297447Z     sleep 5
2025-11-03T16:52:34.4297631Z done
2025-11-03T16:52:34.4302700Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:34.4302980Z env:
2025-11-03T16:52:34.4303154Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:34.4303498Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:34.4303855Z   DEVICE_NAME: 
2025-11-03T16:52:34.4304038Z   DEVICE_TYPE: 
2025-11-03T16:52:34.4304212Z ##[endgroup]
2025-11-03T16:52:34.4361104Z Holding runner for 2 hours until all ssh sessions have logged out
2025-11-03T16:52:34.4431272Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:52:34.4431720Z # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:52:34.4432039Z # shellcheck disable=SC2046
2025-11-03T16:52:34.4432305Z docker stop $(docker ps -q) || true
2025-11-03T16:52:34.4432559Z # Prune all of the docker images
2025-11-03T16:52:34.4432798Z docker system prune -af
2025-11-03T16:52:34.4437604Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:34.4437890Z env:
2025-11-03T16:52:34.4438072Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:52:34.4438398Z   DOCKER_CONTAINER_ID: 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:34.4438755Z   DEVICE_NAME: 
2025-11-03T16:52:34.4438935Z   DEVICE_TYPE: 
2025-11-03T16:52:34.4439115Z ##[endgroup]
2025-11-03T16:52:45.3937793Z 6265937728b4
2025-11-03T16:52:45.8467379Z Deleted Containers:
2025-11-03T16:52:45.8467756Z 6265937728b466a7c70fd1ec87ef26c45b00b2d1fb92f0ec3597a402f3ac70ac
2025-11-03T16:52:45.8468012Z 
2025-11-03T16:52:53.6194077Z Deleted Images:
2025-11-03T16:52:53.6194893Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:52:53.6195790Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:882a19f24dba11c5445e0a3a1cb4ef199b1740a1ba310ace5991cb025e30be3b
2025-11-03T16:52:53.6196458Z deleted: sha256:a0defb4d3830e67aa1d3adb1251bb453436eb10d09880acf2cba4d790dae265b
2025-11-03T16:52:53.6196917Z deleted: sha256:82ac7aec4f0bca562eab8c4825342b05cdafed8368784defc9e27f8791d0db2b
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2025-11-03T16:52:53.6305969Z Post job cleanup.
2025-11-03T16:52:53.6351844Z Post job cleanup.
2025-11-03T16:52:53.7282152Z [command]/usr/bin/git version
2025-11-03T16:52:53.7324078Z git version 2.50.1
2025-11-03T16:52:53.7353334Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/9fc8fca6-c967-4280-9c6e-dfd53f447640/.gitconfig'
2025-11-03T16:52:53.7365375Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/9fc8fca6-c967-4280-9c6e-dfd53f447640' before making global git config changes
2025-11-03T16:52:53.7366289Z Adding repository directory to the temporary git global config as a safe directory
2025-11-03T16:52:53.7369715Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:52:53.7454690Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
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2025-11-03T16:52:54.2593760Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-11-03T16:52:54.2655587Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
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2025-11-03T16:52:54.4856788Z http.https://github.com/.extraheader
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2025-11-03T16:52:54.7395999Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
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2025-11-03T16:52:54.7463849Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
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2025-11-03T16:52:54.7609480Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
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2025-11-03T16:52:54.7862166Z http.https://github.com/.extraheader
2025-11-03T16:52:54.7900714Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:52:54.7939176Z http.https://github.com/.extraheader
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2025-11-03T16:52:54.8032831Z http.https://github.com/.extraheader
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2025-11-03T16:52:54.8694688Z http.https://github.com/.extraheader
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2025-11-03T16:52:54.8844802Z http.https://github.com/.extraheader
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2025-11-03T16:52:54.8917011Z http.https://github.com/.extraheader
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2025-11-03T16:52:54.8992400Z http.https://github.com/.extraheader
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2025-11-03T16:52:54.9068002Z http.https://github.com/.extraheader
2025-11-03T16:52:54.9192735Z A job completed hook has been configured by the self-hosted runner administrator
2025-11-03T16:52:54.9219778Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-11-03T16:52:54.9223653Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:52:54.9223938Z ##[endgroup]
2025-11-03T16:52:54.9317288Z [!ALERT!] Swap in detected! [!ALERT!]
2025-11-03T16:53:04.7586650Z [!ALERT!] Swap out detected [!ALERT!]
2025-11-03T16:53:21.1556007Z Cleaning up orphan processes