2025-11-03T16:13:47.5318766Z Current runner version: '2.329.0'
2025-11-03T16:13:47.5324030Z Runner name: 'i-07f16d2690eac221b'
2025-11-03T16:13:47.5324658Z Runner group name: 'default'
2025-11-03T16:13:47.5325371Z Machine name: 'ip-10-0-77-235'
2025-11-03T16:13:47.5327496Z ##[group]GITHUB_TOKEN Permissions
2025-11-03T16:13:47.5329628Z Contents: read
2025-11-03T16:13:47.5330064Z Metadata: read
2025-11-03T16:13:47.5330496Z ##[endgroup]
2025-11-03T16:13:47.5332221Z Secret source: Actions
2025-11-03T16:13:47.5332783Z Prepare workflow directory
2025-11-03T16:13:47.5722353Z Prepare all required actions
2025-11-03T16:13:47.5753854Z Getting action download info
2025-11-03T16:13:47.9947136Z Download action repository 'pytorch/test-infra@main' (SHA:dd72a20e27a9820d8aba7291a7d9c1e023f652e1)
2025-11-03T16:13:49.9819570Z Download action repository 'pytorch/pytorch@main' (SHA:94f2657c4b534136aa8958bc35d44ceac5ccd60c)
2025-11-03T16:14:06.0797512Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-11-03T16:14:06.5868358Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-11-03T16:14:06.8230832Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-11-03T16:14:07.0204863Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-11-03T16:14:07.2168512Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-11-03T16:14:07.5222034Z Getting action download info
2025-11-03T16:14:07.6688939Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-11-03T16:14:07.9269451Z Getting action download info
2025-11-03T16:14:08.0750998Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-11-03T16:14:08.2790539Z Getting action download info
2025-11-03T16:14:08.4220836Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-11-03T16:14:08.6479500Z Getting action download info
2025-11-03T16:14:08.8090243Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (3f6538febd727b782e6e13cfd026a309fb14351d)
2025-11-03T16:14:08.8093469Z ##[group] Inputs
2025-11-03T16:14:08.8093799Z   build-environment: linux-jammy-py3.10-gcc11-build
2025-11-03T16:14:08.8095477Z   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"}]}
2025-11-03T16:14:08.8097438Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:14:08.8098150Z   sync-tag: 
2025-11-03T16:14:08.8098910Z   timeout-minutes: 240
2025-11-03T16:14:08.8099133Z   use-gha: 
2025-11-03T16:14:08.8099354Z   dashboard-tag: 
2025-11-03T16:14:08.8099658Z   s3-bucket: gha-artifacts
2025-11-03T16:14:08.8100206Z   aws-role-to-assume: 
2025-11-03T16:14:08.8100751Z   disable-monitor: false
2025-11-03T16:14:08.8101053Z   monitor-log-interval: 5
2025-11-03T16:14:08.8101373Z   monitor-data-collect-interval: 1
2025-11-03T16:14:08.8101644Z ##[endgroup]
2025-11-03T16:14:08.8101983Z Complete job name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:14:08.8619266Z A job started hook has been configured by the self-hosted runner administrator
2025-11-03T16:14:08.8702268Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-11-03T16:14:08.8709226Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:14:08.8709727Z ##[endgroup]
2025-11-03T16:14:09.9054386Z Runner Type: linux.8xlarge.amx
2025-11-03T16:14:09.9054844Z Instance Type: m7i-flex.8xlarge
2025-11-03T16:14:09.9055044Z AMI Name: unknown
2025-11-03T16:14:09.9083760Z AMI ID: ami-08982f1c5bf93d976
2025-11-03T16:14:14.1895283Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-11-03T16:14:14.1895656Z with:
2025-11-03T16:14:14.1896239Z   github-secret: ***
2025-11-03T16:14:14.1896705Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-11-03T16:14:14.1897185Z   activate-with-label: false
2025-11-03T16:14:14.1897389Z   label: with-ssh
2025-11-03T16:14:14.1897573Z   remove-existing-keys: true
2025-11-03T16:14:14.1897761Z   fail-silently: true
2025-11-03T16:14:14.1897940Z env:
2025-11-03T16:14:14.1898098Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:14.1898300Z ##[endgroup]
2025-11-03T16:14:14.2881215Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-11-03T16:14:14.2887477Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-11-03T16:14:14.3010822Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-11-03T16:14:14.3011226Z with:
2025-11-03T16:14:14.3011431Z   no-sudo: true
2025-11-03T16:14:14.3011706Z   submodules: recursive
2025-11-03T16:14:14.3012005Z   fetch-depth: 0
2025-11-03T16:14:14.3012241Z env:
2025-11-03T16:14:14.3012454Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:14.3012732Z ##[endgroup]
2025-11-03T16:14:14.3085567Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:14:14.3086227Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:14:14.3094731Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:14:14.3095052Z env:
2025-11-03T16:14:14.3095329Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:14.3095670Z ##[endgroup]
2025-11-03T16:14:14.3191849Z ##[group]Run # Use all available CPUs for fetching
2025-11-03T16:14:14.3192254Z # Use all available CPUs for fetching
2025-11-03T16:14:14.3192551Z cd "${GITHUB_WORKSPACE}"
2025-11-03T16:14:14.3192872Z git config --global fetch.parallel 0
2025-11-03T16:14:14.3193206Z git config --global submodule.fetchJobs 0
2025-11-03T16:14:14.3193462Z 
2025-11-03T16:14:14.3193830Z # Clean workspace. The default checkout action should also do this, but
2025-11-03T16:14:14.3194179Z # do it here as well just in case
2025-11-03T16:14:14.3194439Z if [[ -d .git ]]; then
2025-11-03T16:14:14.3194755Z   if [ -z "${NO_SUDO}" ]; then
2025-11-03T16:14:14.3195019Z     sudo git clean -ffdx
2025-11-03T16:14:14.3195256Z   else
2025-11-03T16:14:14.3195522Z     git clean -ffdx
2025-11-03T16:14:14.3195759Z   fi
2025-11-03T16:14:14.3195930Z fi
2025-11-03T16:14:14.3200922Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:14:14.3201296Z env:
2025-11-03T16:14:14.3201555Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:14.3201788Z   NO_SUDO: true
2025-11-03T16:14:14.3202048Z ##[endgroup]
2025-11-03T16:14:14.3325751Z ##[group]Run actions/checkout@v4
2025-11-03T16:14:14.3326025Z with:
2025-11-03T16:14:14.3326250Z   ref: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:14:14.3326517Z   fetch-depth: 0
2025-11-03T16:14:14.3326726Z   submodules: recursive
2025-11-03T16:14:14.3326945Z   show-progress: false
2025-11-03T16:14:14.3327149Z   repository: pytorch/pytorch
2025-11-03T16:14:14.3327582Z   token: ***
2025-11-03T16:14:14.3327769Z   ssh-strict: true
2025-11-03T16:14:14.3327946Z   ssh-user: git
2025-11-03T16:14:14.3328130Z   persist-credentials: true
2025-11-03T16:14:14.3328332Z   clean: true
2025-11-03T16:14:14.3328510Z   sparse-checkout-cone-mode: true
2025-11-03T16:14:14.3328729Z   fetch-tags: false
2025-11-03T16:14:14.3328903Z   lfs: false
2025-11-03T16:14:14.3329073Z   set-safe-directory: true
2025-11-03T16:14:14.3329274Z env:
2025-11-03T16:14:14.3329435Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:14.3329627Z ##[endgroup]
2025-11-03T16:14:14.4276645Z Syncing repository: pytorch/pytorch
2025-11-03T16:14:14.4277756Z ##[group]Getting Git version info
2025-11-03T16:14:14.4278175Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-11-03T16:14:14.4278665Z [command]/usr/bin/git version
2025-11-03T16:14:14.4278870Z git version 2.50.1
2025-11-03T16:14:14.4305825Z ##[endgroup]
2025-11-03T16:14:14.4310151Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/e84ce806-cc1e-48ef-a72b-cc8e1231144d/.gitconfig'
2025-11-03T16:14:14.4333420Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/e84ce806-cc1e-48ef-a72b-cc8e1231144d' before making global git config changes
2025-11-03T16:14:14.4334066Z Adding repository directory to the temporary git global config as a safe directory
2025-11-03T16:14:14.4339957Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:14:14.4379535Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-11-03T16:14:14.4387672Z ##[group]Initializing the repository
2025-11-03T16:14:14.4391956Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:14:14.4421719Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-11-03T16:14:14.4423789Z hint: is subject to change. To configure the initial branch name to use in all
2025-11-03T16:14:14.4424243Z hint: of your new repositories, which will suppress this warning, call:
2025-11-03T16:14:14.4424507Z hint:
2025-11-03T16:14:14.4424727Z hint: 	git config --global init.defaultBranch <name>
2025-11-03T16:14:14.4424962Z hint:
2025-11-03T16:14:14.4425186Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-11-03T16:14:14.4425546Z hint: 'development'. The just-created branch can be renamed via this command:
2025-11-03T16:14:14.4425802Z hint:
2025-11-03T16:14:14.4425961Z hint: 	git branch -m <name>
2025-11-03T16:14:14.4426134Z hint:
2025-11-03T16:14:14.4426366Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-11-03T16:14:14.4426796Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-11-03T16:14:14.4427618Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-11-03T16:14:14.4455717Z ##[endgroup]
2025-11-03T16:14:14.4456072Z ##[group]Disabling automatic garbage collection
2025-11-03T16:14:14.4458688Z [command]/usr/bin/git config --local gc.auto 0
2025-11-03T16:14:14.4485039Z ##[endgroup]
2025-11-03T16:14:14.4485426Z ##[group]Setting up auth
2025-11-03T16:14:14.4489643Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-11-03T16:14:14.4517160Z [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' || :"
2025-11-03T16:14:14.4861209Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-11-03T16:14:14.4892218Z [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' || :"
2025-11-03T16:14:14.5195876Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-11-03T16:14:14.5242257Z ##[endgroup]
2025-11-03T16:14:14.5242637Z ##[group]Fetching the repository
2025-11-03T16:14:14.5250644Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-11-03T16:15:02.2027259Z From https://github.com/pytorch/pytorch
2025-11-03T16:15:02.2031984Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-11-03T16:15:02.2036629Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-11-03T16:15:02.2037169Z  * [new branch]              DyVariaSourceRepr           -> origin/DyVariaSourceRepr
2025-11-03T16:15:02.2037533Z  * [new branch]              DynamoFixGit                -> origin/DynamoFixGit
2025-11-03T16:15:02.2037832Z  * [new branch]              DynamoVariaT                -> origin/DynamoVariaT
2025-11-03T16:15:02.2038280Z  * [new branch]              Flamefire-misplaced-TestFailure -> origin/Flamefire-misplaced-TestFailure
2025-11-03T16:15:02.2038716Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-11-03T16:15:02.2039084Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-11-03T16:15:02.2039421Z  * [new branch]              IvanKobzarev/stack/2        -> origin/IvanKobzarev/stack/2
2025-11-03T16:15:02.2040117Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-11-03T16:15:02.2040469Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-11-03T16:15:02.2040843Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-11-03T16:15:02.2041242Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-11-03T16:15:02.2041592Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-11-03T16:15:02.2041913Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-11-03T16:15:02.2042248Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-11-03T16:15:02.2042565Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-11-03T16:15:02.2042841Z  * [new branch]              VariaT                      -> origin/VariaT
2025-11-03T16:15:02.2043161Z  * [new branch]              add-pyrefly-to-lintrunner   -> origin/add-pyrefly-to-lintrunner
2025-11-03T16:15:02.2043483Z  * [new branch]              add_conv3d_ops              -> origin/add_conv3d_ops
2025-11-03T16:15:02.2043804Z  * [new branch]              add_op_to_dashboard         -> origin/add_op_to_dashboard
2025-11-03T16:15:02.2044119Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-11-03T16:15:02.2044415Z  * [new branch]              addmm10000rtx               -> origin/addmm10000rtx
2025-11-03T16:15:02.2044716Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-11-03T16:15:02.2045002Z  * [new branch]              adi/test                    -> origin/adi/test
2025-11-03T16:15:02.2045286Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-11-03T16:15:02.2045580Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-11-03T16:15:02.2045877Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-11-03T16:15:02.2046279Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-11-03T16:15:02.2046590Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-11-03T16:15:02.2046999Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-11-03T16:15:02.2047312Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-11-03T16:15:02.2047966Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-11-03T16:15:02.2048317Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-11-03T16:15:02.2048630Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-11-03T16:15:02.2048940Z  * [new branch]              angelayi/allow_fake         -> origin/angelayi/allow_fake
2025-11-03T16:15:02.2049300Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-11-03T16:15:02.2049662Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-11-03T16:15:02.2054601Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-11-03T16:15:02.2059011Z  * [new branch]              angelayi/const_folder       -> origin/angelayi/const_folder
2025-11-03T16:15:02.2063662Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-11-03T16:15:02.2064073Z  * [new branch]              angelayi/joint_kwargs       -> origin/angelayi/joint_kwargs
2025-11-03T16:15:02.2064420Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-11-03T16:15:02.2064752Z  * [new branch]              angelayi/opaque_obj_v2      -> origin/angelayi/opaque_obj_v2
2025-11-03T16:15:02.2065249Z  * [new branch]              angelayi/post_grad          -> origin/angelayi/post_grad
2025-11-03T16:15:02.2065569Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-11-03T16:15:02.2065923Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-11-03T16:15:02.2066281Z  * [new branch]              angelayi/state_dict         -> origin/angelayi/state_dict
2025-11-03T16:15:02.2066654Z  * [new branch]              angelayi/static_input_indices -> origin/angelayi/static_input_indices
2025-11-03T16:15:02.2067170Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-11-03T16:15:02.2067480Z  * [new branch]              angelayi/symm_mem           -> origin/angelayi/symm_mem
2025-11-03T16:15:02.2067798Z  * [new branch]              angelayi/test_cpp           -> origin/angelayi/test_cpp
2025-11-03T16:15:02.2068117Z  * [new branch]              angelayi/torch_size         -> origin/angelayi/torch_size
2025-11-03T16:15:02.2068456Z  * [new branch]              annotate_before_eliminate   -> origin/annotate_before_eliminate
2025-11-03T16:15:02.2068776Z  * [new branch]              annotate_fn                 -> origin/annotate_fn
2025-11-03T16:15:02.2069061Z  * [new branch]              annotation_bw               -> origin/annotation_bw
2025-11-03T16:15:02.2069366Z  * [new branch]              annotation_bw_1             -> origin/annotation_bw_1
2025-11-03T16:15:02.2069676Z  * [new branch]              annotation_dynamo           -> origin/annotation_dynamo
2025-11-03T16:15:02.2069976Z  * [new branch]              annotation_log              -> origin/annotation_log
2025-11-03T16:15:02.2070278Z  * [new branch]              annotation_replay           -> origin/annotation_replay
2025-11-03T16:15:02.2070577Z  * [new branch]              annotation_submod           -> origin/annotation_submod
2025-11-03T16:15:02.2070911Z  * [new branch]              aot_eager_stack_trace       -> origin/aot_eager_stack_trace
2025-11-03T16:15:02.2071223Z  * [new branch]              aoti-cuda-alloc             -> origin/aoti-cuda-alloc
2025-11-03T16:15:02.2071538Z  * [new branch]              aoti_fqn_name_interface     -> origin/aoti_fqn_name_interface
2025-11-03T16:15:02.2071901Z  * [new branch]              aoti_metal_shimify          -> origin/aoti_metal_shimify
2025-11-03T16:15:02.2072362Z  * [new branch]              aoti_package_weights_binary -> origin/aoti_package_weights_binary
2025-11-03T16:15:02.2072714Z  * [new branch]              aoti_shim_library_list      -> origin/aoti_shim_library_list
2025-11-03T16:15:02.2073039Z  * [new branch]              aoti_target_windows         -> origin/aoti_target_windows
2025-11-03T16:15:02.2073362Z  * [new branch]              aoti_weight_sharing         -> origin/aoti_weight_sharing
2025-11-03T16:15:02.2073753Z  * [new branch]              arsh/feat/inductor_check_profiling -> origin/arsh/feat/inductor_check_profiling
2025-11-03T16:15:02.2074128Z  * [new branch]              async_tp                    -> origin/async_tp
2025-11-03T16:15:02.2074467Z  * [new branch]              atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124
2025-11-03T16:15:02.2074877Z  * [new branch]              atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1
2025-11-03T16:15:02.2075250Z  * [new branch]              atalman-patch-1             -> origin/atalman-patch-1
2025-11-03T16:15:02.2075821Z  * [new branch]              atalman-patch-2             -> origin/atalman-patch-2
2025-11-03T16:15:02.2076685Z  * [new branch]              atalman-patch-3             -> origin/atalman-patch-3
2025-11-03T16:15:02.2077057Z  * [new branch]              atalman-patch-5             -> origin/atalman-patch-5
2025-11-03T16:15:02.2077423Z  * [new branch]              atalman_inductor_2.3.0      -> origin/atalman_inductor_2.3.0
2025-11-03T16:15:02.2077782Z  * [new branch]              atalman_inductor_2.3.1      -> origin/atalman_inductor_2.3.1
2025-11-03T16:15:02.2078587Z  * [new branch]              atalman_inductor_2.4.0      -> origin/atalman_inductor_2.4.0
2025-11-03T16:15:02.2084383Z  * [new branch]              atalman_inductor_2.4.x      -> origin/atalman_inductor_2.4.x
2025-11-03T16:15:02.2089298Z  * [new branch]              attention_benchmark         -> origin/attention_benchmark
2025-11-03T16:15:02.2093916Z  * [new branch]              attention_benchmarking_clean -> origin/attention_benchmarking_clean
2025-11-03T16:15:02.2095907Z  * [new branch]              bahuang/dt_fix_scalar_add   -> origin/bahuang/dt_fix_scalar_add
2025-11-03T16:15:02.2096467Z  * [new branch]              bahuang/fix_debug_mode      -> origin/bahuang/fix_debug_mode
2025-11-03T16:15:02.2097108Z  * [new branch]              bahuang/fix_expand          -> origin/bahuang/fix_expand
2025-11-03T16:15:02.2097564Z  * [new branch]              bahuang/test                -> origin/bahuang/test
2025-11-03T16:15:02.2098529Z  * [new branch]              base/1.5                    -> origin/base/1.5
2025-11-03T16:15:02.2098936Z  * [new branch]              batching_sdpa_efficient_attention -> origin/batching_sdpa_efficient_attention
2025-11-03T16:15:02.2099370Z  * [new branch]              bench_scaled_mm_ops         -> origin/bench_scaled_mm_ops
2025-11-03T16:15:02.2099704Z  * [new branch]              benchmark-updates           -> origin/benchmark-updates
2025-11-03T16:15:02.2100043Z  * [new branch]              benchmarking-script         -> origin/benchmarking-script
2025-11-03T16:15:02.2100372Z  * [new branch]              bertmaher/pinbump26         -> origin/bertmaher/pinbump26
2025-11-03T16:15:02.2100685Z  * [new branch]              bertrand/cutlass            -> origin/bertrand/cutlass
2025-11-03T16:15:02.2100990Z  * [new branch]              bf/cg-backend               -> origin/bf/cg-backend
2025-11-03T16:15:02.2101368Z  * [new branch]              bf/cg-partition-custom-op-mutation -> origin/bf/cg-partition-custom-op-mutation
2025-11-03T16:15:02.2101755Z  * [new branch]              bf/cg-remove-check          -> origin/bf/cg-remove-check
2025-11-03T16:15:02.2102066Z  * [new branch]              bf/clean-hf                 -> origin/bf/clean-hf
2025-11-03T16:15:02.2102348Z  * [new branch]              bf/clean-timm               -> origin/bf/clean-timm
2025-11-03T16:15:02.2102805Z  * [new branch]              bf/clean-torchbench         -> origin/bf/clean-torchbench
2025-11-03T16:15:02.2103136Z  * [new branch]              bf/clean-torchbench-hf      -> origin/bf/clean-torchbench-hf
2025-11-03T16:15:02.2103460Z  * [new branch]              bf/cudagraph                -> origin/bf/cudagraph
2025-11-03T16:15:02.2103885Z  * [new branch]              bf/cudagraph-disable-input-mutation -> origin/bf/cudagraph-disable-input-mutation
2025-11-03T16:15:02.2104480Z  * [new branch]              bf/cudagraph-enable-input-mutation-support-benchmark -> origin/bf/cudagraph-enable-input-mutation-support-benchmark
2025-11-03T16:15:02.2105000Z  * [new branch]              bf/cudagraph-partition      -> origin/bf/cudagraph-partition
2025-11-03T16:15:02.2105357Z  * [new branch]              bf/donated-buffer-bench     -> origin/bf/donated-buffer-bench
2025-11-03T16:15:02.2105697Z  * [new branch]              bf/dynamo-partition         -> origin/bf/dynamo-partition
2025-11-03T16:15:02.2106071Z  * [new branch]              bf/pa-non-divisible         -> origin/bf/pa-non-divisible
2025-11-03T16:15:02.2106436Z  * [new branch]              bf/partition-cache-free-symbols -> origin/bf/partition-cache-free-symbols
2025-11-03T16:15:02.2106835Z  * [new branch]              bf/partition-custom-rules   -> origin/bf/partition-custom-rules
2025-11-03T16:15:02.2107220Z  * [new branch]              bf/partition-memory-plan    -> origin/bf/partition-memory-plan
2025-11-03T16:15:02.2107582Z  * [new branch]              bf/partition-move-cpu       -> origin/bf/partition-move-cpu
2025-11-03T16:15:02.2107941Z  * [new branch]              bf/partition-view-fallback  -> origin/bf/partition-view-fallback
2025-11-03T16:15:02.2108366Z  * [new branch]              bf/remove-check-55b0c39d    -> origin/bf/remove-check-55b0c39d
2025-11-03T16:15:02.2108703Z  * [new branch]              bf16_support_per_channel    -> origin/bf16_support_per_channel
2025-11-03T16:15:02.2109051Z  * [new branch]              bisect_perf_hf_T5_3acc6eac492 -> origin/bisect_perf_hf_T5_3acc6eac492
2025-11-03T16:15:02.2109414Z  * [new branch]              bisect_perf_hf_T5_3fcf66f61fb -> origin/bisect_perf_hf_T5_3fcf66f61fb
2025-11-03T16:15:02.2109772Z  * [new branch]              bisect_perf_hf_T5_4009d154129 -> origin/bisect_perf_hf_T5_4009d154129
2025-11-03T16:15:02.2110117Z  * [new branch]              bisect_perf_hf_T5_40d0740e73d -> origin/bisect_perf_hf_T5_40d0740e73d
2025-11-03T16:15:02.2110455Z  * [new branch]              bisect_perf_hf_T5_5268754e  -> origin/bisect_perf_hf_T5_5268754e
2025-11-03T16:15:02.2110803Z  * [new branch]              bisect_perf_hf_T5_7d89a8d385c -> origin/bisect_perf_hf_T5_7d89a8d385c
2025-11-03T16:15:02.2111153Z  * [new branch]              bisect_perf_hf_T5_b7a25c1ee7c -> origin/bisect_perf_hf_T5_b7a25c1ee7c
2025-11-03T16:15:02.2111504Z  * [new branch]              bisect_perf_hf_T5_c25b201583f -> origin/bisect_perf_hf_T5_c25b201583f
2025-11-03T16:15:02.2111866Z  * [new branch]              bisect_perf_hf_T5_c93e57efac0 -> origin/bisect_perf_hf_T5_c93e57efac0
2025-11-03T16:15:02.2112214Z  * [new branch]              bisect_perf_hf_T5_ca9813ea149 -> origin/bisect_perf_hf_T5_ca9813ea149
2025-11-03T16:15:02.2112557Z  * [new branch]              bisect_perf_hf_T5_d65f194a  -> origin/bisect_perf_hf_T5_d65f194a
2025-11-03T16:15:02.2112916Z  * [new branch]              bisect_perf_hf_T5_da94ab0b  -> origin/bisect_perf_hf_T5_da94ab0b
2025-11-03T16:15:02.2113278Z  * [new branch]              bisect_perf_hf_T5_da94ab0b_new -> origin/bisect_perf_hf_T5_da94ab0b_new
2025-11-03T16:15:02.2113640Z  * [new branch]              bisect_perf_hf_T5_db4e8a1d8a8 -> origin/bisect_perf_hf_T5_db4e8a1d8a8
2025-11-03T16:15:02.2114061Z  * [new branch]              bisect_perf_hf_T5_e0d97e936a2 -> origin/bisect_perf_hf_T5_e0d97e936a2
2025-11-03T16:15:02.2114775Z  * [new branch]              bisect_perf_hf_T5_f23621ec563 -> origin/bisect_perf_hf_T5_f23621ec563
2025-11-03T16:15:02.2115901Z  * [new branch]              bowbao/wip_prs              -> origin/bowbao/wip_prs
2025-11-03T16:15:02.2116689Z  * [new branch]              brister/break_dynamic_scalar -> origin/brister/break_dynamic_scalar
2025-11-03T16:15:02.2117283Z  * [new branch]              brister/cast_rank0          -> origin/brister/cast_rank0
2025-11-03T16:15:02.2117932Z  * [new branch]              brister/item_fx             -> origin/brister/item_fx
2025-11-03T16:15:02.2118674Z  * [new branch]              brister/test_inductor_all_fx -> origin/brister/test_inductor_all_fx
2025-11-03T16:15:02.2119455Z  * [new branch]              brister/tiled_reduction_no_numel_check -> origin/brister/tiled_reduction_no_numel_check
2025-11-03T16:15:02.2120104Z  * [new branch]              bwd-backup                  -> origin/bwd-backup
2025-11-03T16:15:02.2121003Z  * [new branch]              c57382a49                   -> origin/c57382a49
2025-11-03T16:15:02.2121533Z  * [new branch]              ca_0431d47eaa               -> origin/ca_0431d47eaa
2025-11-03T16:15:02.2122291Z  * [new branch]              ca_fix_0431d47eaa           -> origin/ca_fix_0431d47eaa
2025-11-03T16:15:02.2123955Z  * [new branch]              camyllh/test_setup_hooks_push -> origin/camyllh/test_setup_hooks_push
2025-11-03T16:15:02.2124411Z  * [new branch]              cherry-pick-152361-by-pytorch_bot_bot_ -> origin/cherry-pick-152361-by-pytorch_bot_bot_
2025-11-03T16:15:02.2125072Z  * [new branch]              cherry-pick-157453-by-pytorch_bot_bot_ -> origin/cherry-pick-157453-by-pytorch_bot_bot_
2025-11-03T16:15:02.2126169Z  * [new branch]              cherry-pick-157513-by-pytorch_bot_bot_ -> origin/cherry-pick-157513-by-pytorch_bot_bot_
2025-11-03T16:15:02.2126716Z  * [new branch]              cherry-pick-157695-by-pytorch_bot_bot_ -> origin/cherry-pick-157695-by-pytorch_bot_bot_
2025-11-03T16:15:02.2127357Z  * [new branch]              cherry-pick-157732-by-pytorch_bot_bot_ -> origin/cherry-pick-157732-by-pytorch_bot_bot_
2025-11-03T16:15:02.2128023Z  * [new branch]              cherry-pick-159969-by-pytorch_bot_bot_ -> origin/cherry-pick-159969-by-pytorch_bot_bot_
2025-11-03T16:15:02.2128523Z  * [new branch]              cherry-pick-160586-by-pytorch_bot_bot_ -> origin/cherry-pick-160586-by-pytorch_bot_bot_
2025-11-03T16:15:02.2129568Z  * [new branch]              cherry-pick-162194-by-pytorch_bot_bot_ -> origin/cherry-pick-162194-by-pytorch_bot_bot_
2025-11-03T16:15:02.2130183Z  * [new branch]              cherry-pick-162693-by-pytorch_bot_bot_ -> origin/cherry-pick-162693-by-pytorch_bot_bot_
2025-11-03T16:15:02.2131788Z  * [new branch]              cherry-pick-162764-by-pytorch_bot_bot_ -> origin/cherry-pick-162764-by-pytorch_bot_bot_
2025-11-03T16:15:02.2132308Z  * [new branch]              cherry-pick-163029-by-pytorch_bot_bot_ -> origin/cherry-pick-163029-by-pytorch_bot_bot_
2025-11-03T16:15:02.2132805Z  * [new branch]              cherry-pick-163776-by-pytorch_bot_bot_ -> origin/cherry-pick-163776-by-pytorch_bot_bot_
2025-11-03T16:15:02.2133422Z  * [new branch]              cherry-pick-164774-by-pytorch_bot_bot_ -> origin/cherry-pick-164774-by-pytorch_bot_bot_
2025-11-03T16:15:02.2134291Z  * [new branch]              cherry-pick-164870-by-pytorch_bot_bot_ -> origin/cherry-pick-164870-by-pytorch_bot_bot_
2025-11-03T16:15:02.2134958Z  * [new branch]              cherry-pick-164946-by-pytorch_bot_bot_ -> origin/cherry-pick-164946-by-pytorch_bot_bot_
2025-11-03T16:15:02.2135704Z  * [new branch]              cherry-pick-165013-by-pytorch_bot_bot_ -> origin/cherry-pick-165013-by-pytorch_bot_bot_
2025-11-03T16:15:02.2136393Z  * [new branch]              cherry-pick-165465-by-pytorch_bot_bot_ -> origin/cherry-pick-165465-by-pytorch_bot_bot_
2025-11-03T16:15:02.2137133Z  * [new branch]              cherry-pick-165665-by-pytorch_bot_bot_ -> origin/cherry-pick-165665-by-pytorch_bot_bot_
2025-11-03T16:15:02.2137855Z  * [new branch]              cherry-pick-165794-by-pytorch_bot_bot_ -> origin/cherry-pick-165794-by-pytorch_bot_bot_
2025-11-03T16:15:02.2138620Z  * [new branch]              cherry-pick-166181-by-pytorch_bot_bot_ -> origin/cherry-pick-166181-by-pytorch_bot_bot_
2025-11-03T16:15:02.2139264Z  * [new branch]              chuanqi129-patch-1          -> origin/chuanqi129-patch-1
2025-11-03T16:15:02.2140045Z  * [new branch]              ci_attn                     -> origin/ci_attn
2025-11-03T16:15:02.2141046Z  * [new branch]              codegen_trace               -> origin/codegen_trace
2025-11-03T16:15:02.2141492Z  * [new branch]              codex-testing               -> origin/codex-testing
2025-11-03T16:15:02.2142893Z  * [new branch]              codex/add-check_memory_overlap-helper-functions -> origin/codex/add-check_memory_overlap-helper-functions
2025-11-03T16:15:02.2143557Z  * [new branch]              codex/create-test-for-tensor-memory-leak-in-cudagraph -> origin/codex/create-test-for-tensor-memory-leak-in-cudagraph
2025-11-03T16:15:02.2144265Z  * [new branch]              codex/enhance-cuda.matmul-with-allow_splitk-argument -> origin/codex/enhance-cuda.matmul-with-allow_splitk-argument
2025-11-03T16:15:02.2145110Z  * [new branch]              codex/fix-issue-121219-in-pytorch -> origin/codex/fix-issue-121219-in-pytorch
2025-11-03T16:15:02.2145896Z  * [new branch]              codex/refactor-dimension-handling-in-shape.cu -> origin/codex/refactor-dimension-handling-in-shape.cu
2025-11-03T16:15:02.2146507Z  * [new branch]              codex/refactor-lintrunner-config-to-use-uv-run -> origin/codex/refactor-lintrunner-config-to-use-uv-run
2025-11-03T16:15:02.2147085Z  * [new branch]              context_test                -> origin/context_test
2025-11-03T16:15:02.2149150Z  * [new branch]              copilot/code-style-cleanup-python-pip -> origin/copilot/code-style-cleanup-python-pip
2025-11-03T16:15:02.2149608Z  * [new branch]              cpio/fix_new_ami_tests      -> origin/cpio/fix_new_ami_tests
2025-11-03T16:15:02.2150243Z  * [new branch]              cpp-docs-dependency-upgrade -> origin/cpp-docs-dependency-upgrade
2025-11-03T16:15:02.2150637Z  * [new branch]              crcrpar-patch-1             -> origin/crcrpar-patch-1
2025-11-03T16:15:02.2152774Z  * [new branch]              csl/always_produce_xml      -> origin/csl/always_produce_xml
2025-11-03T16:15:02.2153443Z  * [new branch]              csl/build_test_more_procs   -> origin/csl/build_test_more_procs
2025-11-03T16:15:02.2153796Z  * [new branch]              csl/build_test_more_procs2  -> origin/csl/build_test_more_procs2
2025-11-03T16:15:02.2154167Z  * [new branch]              csl/debug_tests_larger_runner -> origin/csl/debug_tests_larger_runner
2025-11-03T16:15:02.2158109Z  * [new branch]              csl/disable_test_leaking_memory -> origin/csl/disable_test_leaking_memory
2025-11-03T16:15:02.2158586Z  * [new branch]              csl/failed_consistently_null -> origin/csl/failed_consistently_null
2025-11-03T16:15:02.2159013Z  * [new branch]              csl/fix_internal_graph_executor -> origin/csl/fix_internal_graph_executor
2025-11-03T16:15:02.2159410Z  * [new branch]              csl/fix_periodic_debug_1    -> origin/csl/fix_periodic_debug_1
2025-11-03T16:15:02.2159786Z  * [new branch]              csl/inductor_h100_nightly   -> origin/csl/inductor_h100_nightly
2025-11-03T16:15:02.2160127Z  * [new branch]              csl/katex                   -> origin/csl/katex
2025-11-03T16:15:02.2160438Z  * [new branch]              csl/keep_going_manual       -> origin/csl/keep_going_manual
2025-11-03T16:15:02.2160765Z  * [new branch]              csl/larger_runner           -> origin/csl/larger_runner
2025-11-03T16:15:02.2162957Z  * [new branch]              csl/lint_testing            -> origin/csl/lint_testing
2025-11-03T16:15:02.2163263Z  * [new branch]              csl/lint_thing              -> origin/csl/lint_thing
2025-11-03T16:15:02.2163589Z  * [new branch]              csl/lintrunner_stuff        -> origin/csl/lintrunner_stuff
2025-11-03T16:15:02.2163999Z  * [new branch]              csl/mps_sharding            -> origin/csl/mps_sharding
2025-11-03T16:15:02.2164329Z  * [new branch]              csl/multistage_docker       -> origin/csl/multistage_docker
2025-11-03T16:15:02.2164741Z  * [new branch]              csl/no_keep_goin_rocm       -> origin/csl/no_keep_goin_rocm
2025-11-03T16:15:02.2165091Z  * [new branch]              csl/nogpu_inductor_caching_test -> origin/csl/nogpu_inductor_caching_test
2025-11-03T16:15:02.2167179Z  * [new branch]              csl/nogpu_on_no_gpu         -> origin/csl/nogpu_on_no_gpu
2025-11-03T16:15:02.2167876Z  * [new branch]              csl/periodic_disable        -> origin/csl/periodic_disable
2025-11-03T16:15:02.2168477Z  * [new branch]              csl/print_something_for_log_classifier -> origin/csl/print_something_for_log_classifier
2025-11-03T16:15:02.2172317Z  * [new branch]              csl/print_timing            -> origin/csl/print_timing
2025-11-03T16:15:02.2172885Z  * [new branch]              csl/remove_maybe_unused_var -> origin/csl/remove_maybe_unused_var
2025-11-03T16:15:02.2179153Z  * [new branch]              csl/remove_run_parallel     -> origin/csl/remove_run_parallel
2025-11-03T16:15:02.2179713Z  * [new branch]              csl/remove_unused_vars      -> origin/csl/remove_unused_vars
2025-11-03T16:15:02.2180238Z  * [new branch]              csl/revert_no_rule          -> origin/csl/revert_no_rule
2025-11-03T16:15:02.2180691Z  * [new branch]              csl/revert_open             -> origin/csl/revert_open
2025-11-03T16:15:02.2181519Z  * [new branch]              csl/run_full_lint_trunk     -> origin/csl/run_full_lint_trunk
2025-11-03T16:15:02.2181907Z  * [new branch]              csl/skip_build              -> origin/csl/skip_build
2025-11-03T16:15:02.2182252Z  * [new branch]              csl/smaller_avx_amx_runenrs -> origin/csl/smaller_avx_amx_runenrs
2025-11-03T16:15:02.2182589Z  * [new branch]              csl/td_job_level            -> origin/csl/td_job_level
2025-11-03T16:15:02.2183199Z  * [new branch]              csl/test_cuda_build_large_runner -> origin/csl/test_cuda_build_large_runner
2025-11-03T16:15:02.2183622Z  * [new branch]              csl/test_owners_autograd_dispatch_nn -> origin/csl/test_owners_autograd_dispatch_nn
2025-11-03T16:15:02.2184046Z  * [new branch]              csl/test_owners_higher_confidence -> origin/csl/test_owners_higher_confidence
2025-11-03T16:15:02.2184417Z  * [new branch]              csl/upload_all_data         -> origin/csl/upload_all_data
2025-11-03T16:15:02.2184737Z  * [new branch]              csl/win_cpp_tests           -> origin/csl/win_cpp_tests
2025-11-03T16:15:02.2185044Z  * [new branch]              csl/win_sccache             -> origin/csl/win_sccache
2025-11-03T16:15:02.2185400Z  * [new branch]              csl/workflow_consistency_linter -> origin/csl/workflow_consistency_linter
2025-11-03T16:15:02.2185774Z  * [new branch]              csl/workflow_sync_more_files -> origin/csl/workflow_sync_more_files
2025-11-03T16:15:02.2186106Z  * [new branch]              csl/xml_stuff               -> origin/csl/xml_stuff
2025-11-03T16:15:02.2186410Z  * [new branch]              cublasltrelax2              -> origin/cublasltrelax2
2025-11-03T16:15:02.2186715Z  * [new branch]              cublasrelax2                -> origin/cublasrelax2
2025-11-03T16:15:02.2187042Z  * [new branch]              custom_lowering_dict        -> origin/custom_lowering_dict
2025-11-03T16:15:02.2187346Z  * [new branch]              daxia6/2.8o3                -> origin/daxia6/2.8o3
2025-11-03T16:15:02.2187641Z  * [new branch]              debug-guard                 -> origin/debug-guard
2025-11-03T16:15:02.2187964Z  * [new branch]              delete-quant-docs           -> origin/delete-quant-docs
2025-11-03T16:15:02.2188523Z  * [new branch]              dependabot/pip/dot-ci/docker/ci_commit_pins/main/transformers-4.57.0 -> origin/dependabot/pip/dot-ci/docker/ci_commit_pins/main/transformers-4.57.0
2025-11-03T16:15:02.2189255Z  * [new branch]              dependabot/pip/dot-ci/docker/ci_commit_pins/main/transformers-4.57.1 -> origin/dependabot/pip/dot-ci/docker/ci_commit_pins/main/transformers-4.57.1
2025-11-03T16:15:02.2189799Z  * [new branch]              desertfire/test_cpp_wrapper -> origin/desertfire/test_cpp_wrapper
2025-11-03T16:15:02.2190282Z  * [new branch]              desertfire/triton-cpu-for-aarch64 -> origin/desertfire/triton-cpu-for-aarch64
2025-11-03T16:15:02.2190688Z  * [new branch]              dev/dhruva/flex_attn_opt    -> origin/dev/dhruva/flex_attn_opt
2025-11-03T16:15:02.2191043Z  * [new branch]              dev/joona/MPSNDArrayAdd     -> origin/dev/joona/MPSNDArrayAdd
2025-11-03T16:15:02.2191387Z  * [new branch]              dev/joona/Unranked          -> origin/dev/joona/Unranked
2025-11-03T16:15:02.2193855Z  * [new branch]              dev/joona/cat               -> origin/dev/joona/cat
2025-11-03T16:15:02.2194259Z  * [new branch]              dev/joona/embeddingbag      -> origin/dev/joona/embeddingbag
2025-11-03T16:15:02.2194673Z  * [new branch]              dev/joona/getTensorsString  -> origin/dev/joona/getTensorsString
2025-11-03T16:15:02.2195065Z  * [new branch]              dev/joona/mps_linear_macos14 -> origin/dev/joona/mps_linear_macos14
2025-11-03T16:15:02.2195428Z  * [new branch]              dev/joona/sdpa              -> origin/dev/joona/sdpa
2025-11-03T16:15:02.2195760Z  * [new branch]              dev/joona/type_inf          -> origin/dev/joona/type_inf
2025-11-03T16:15:02.2196168Z  * [new branch]              dev/joona/upsize3d          -> origin/dev/joona/upsize3d
2025-11-03T16:15:02.2196887Z  * [new branch]              disp_counter                -> origin/disp_counter
2025-11-03T16:15:02.2197606Z  * [new branch]              document                    -> origin/document
2025-11-03T16:15:02.2198404Z  * [new branch]              document-apis               -> origin/document-apis
2025-11-03T16:15:02.2199913Z  * [new branch]              dynamo_stack_trace          -> origin/dynamo_stack_trace
2025-11-03T16:15:02.2200434Z  * [new branch]              eager_model_benchmarks      -> origin/eager_model_benchmarks
2025-11-03T16:15:02.2201021Z  * [new branch]              embg/test_inductor_ci_128B  -> origin/embg/test_inductor_ci_128B
2025-11-03T16:15:02.2201728Z  * [new branch]              embg/test_inductor_ci_base  -> origin/embg/test_inductor_ci_base
2025-11-03T16:15:02.2202636Z  * [new branch]              embg/test_inductor_ci_control -> origin/embg/test_inductor_ci_control
2025-11-03T16:15:02.2203392Z  * [new branch]              embg/triton_l2_prefetch_128B -> origin/embg/triton_l2_prefetch_128B
2025-11-03T16:15:02.2204271Z  * [new branch]              embg/triton_l2_prefetch_256B -> origin/embg/triton_l2_prefetch_256B
2025-11-03T16:15:02.2204884Z  * [new branch]              exclamaforte/amd-ma         -> origin/exclamaforte/amd-ma
2025-11-03T16:15:02.2205617Z  * [new branch]              exclamaforte/combo-kernels-perf-run -> origin/exclamaforte/combo-kernels-perf-run
2025-11-03T16:15:02.2206259Z  * [new branch]              exclamaforte/do_bench_refactor -> origin/exclamaforte/do_bench_refactor
2025-11-03T16:15:02.2207108Z  * [new branch]              exclamaforte/enable-mem-dep-fusion -> origin/exclamaforte/enable-mem-dep-fusion
2025-11-03T16:15:02.2207650Z  * [new branch]              exclamaforte/fix-exhaustive-autotuning -> origin/exclamaforte/fix-exhaustive-autotuning
2025-11-03T16:15:02.2210102Z  * [new branch]              exclamaforte/fix-trace-parsing-fx-svg -> origin/exclamaforte/fix-trace-parsing-fx-svg
2025-11-03T16:15:02.2210850Z  * [new branch]              exclamaforte/force-pointwise-cat-perf-run -> origin/exclamaforte/force-pointwise-cat-perf-run
2025-11-03T16:15:02.2211453Z  * [new branch]              exclamaforte/fusion-data    -> origin/exclamaforte/fusion-data
2025-11-03T16:15:02.2211872Z  * [new branch]              exclamaforte/gemm-benchmark-run -> origin/exclamaforte/gemm-benchmark-run
2025-11-03T16:15:02.2212360Z  * [new branch]              exclamaforte/gemm-export-model -> origin/exclamaforte/gemm-export-model
2025-11-03T16:15:02.2216422Z  * [new branch]              exclamaforte/gemm-model     -> origin/exclamaforte/gemm-model
2025-11-03T16:15:02.2216936Z  * [new branch]              exclamaforte/gemm-model-all-data-collection -> origin/exclamaforte/gemm-model-all-data-collection
2025-11-03T16:15:02.2217552Z  * [new branch]              exclamaforte/gemm-to-amd    -> origin/exclamaforte/gemm-to-amd
2025-11-03T16:15:02.2217929Z  * [new branch]              exclamaforte/just-gemm-model -> origin/exclamaforte/just-gemm-model
2025-11-03T16:15:02.2218380Z  * [new branch]              exclamaforte/just-gemm-model-no-refactor -> origin/exclamaforte/just-gemm-model-no-refactor
2025-11-03T16:15:02.2218856Z  * [new branch]              exclamaforte/profile-diff-algo -> origin/exclamaforte/profile-diff-algo
2025-11-03T16:15:02.2220122Z  * [new branch]              exclamaforte/profiler-visualization -> origin/exclamaforte/profiler-visualization
2025-11-03T16:15:02.2220699Z  * [new branch]              exclamaforte/test_cpp_wrapper_mode -> origin/exclamaforte/test_cpp_wrapper_mode
2025-11-03T16:15:02.2221268Z  * [new branch]              exclamaforte/update-autotune-configs -> origin/exclamaforte/update-autotune-configs
2025-11-03T16:15:02.2221732Z  * [new branch]              exclamaforte/update-autotune-configs-2 -> origin/exclamaforte/update-autotune-configs-2
2025-11-03T16:15:02.2222172Z  * [new branch]              exclamforte/gemm-model-final -> origin/exclamforte/gemm-model-final
2025-11-03T16:15:02.2222503Z  * [new branch]              exec                        -> origin/exec
2025-11-03T16:15:02.2222821Z  * [new branch]              experimental-mosaic         -> origin/experimental-mosaic
2025-11-03T16:15:02.2223153Z  * [new branch]              export-D58091437            -> origin/export-D58091437
2025-11-03T16:15:02.2224198Z  * [new branch]              export-D61047529            -> origin/export-D61047529
2025-11-03T16:15:02.2224515Z  * [new branch]              export-D71412006            -> origin/export-D71412006
2025-11-03T16:15:02.2224879Z  * [new branch]              export-D73042989            -> origin/export-D73042989
2025-11-03T16:15:02.2225190Z  * [new branch]              export-D76797250            -> origin/export-D76797250
2025-11-03T16:15:02.2225500Z  * [new branch]              export-D78375400            -> origin/export-D78375400
2025-11-03T16:15:02.2225804Z  * [new branch]              export-D78431305            -> origin/export-D78431305
2025-11-03T16:15:02.2226112Z  * [new branch]              export-D78822171            -> origin/export-D78822171
2025-11-03T16:15:02.2226421Z  * [new branch]              export-D78822351            -> origin/export-D78822351
2025-11-03T16:15:02.2226737Z  * [new branch]              export-D78822507            -> origin/export-D78822507
2025-11-03T16:15:02.2227064Z  * [new branch]              export-D78826994            -> origin/export-D78826994
2025-11-03T16:15:02.2228795Z  * [new branch]              export-D78894324            -> origin/export-D78894324
2025-11-03T16:15:02.2229110Z  * [new branch]              export-D78929245            -> origin/export-D78929245
2025-11-03T16:15:02.2229411Z  * [new branch]              export-D78934925            -> origin/export-D78934925
2025-11-03T16:15:02.2229869Z  * [new branch]              export-D78953203            -> origin/export-D78953203
2025-11-03T16:15:02.2230520Z  * [new branch]              export-D78953229            -> origin/export-D78953229
2025-11-03T16:15:02.2231703Z  * [new branch]              export-D78957093            -> origin/export-D78957093
2025-11-03T16:15:02.2232038Z  * [new branch]              export-D78957389            -> origin/export-D78957389
2025-11-03T16:15:02.2232968Z  * [new branch]              export-D78996107            -> origin/export-D78996107
2025-11-03T16:15:02.2233616Z  * [new branch]              export-D79026433            -> origin/export-D79026433
2025-11-03T16:15:02.2234037Z  * [new branch]              export-D79319835            -> origin/export-D79319835
2025-11-03T16:15:02.2234777Z  * [new branch]              export-D79328456            -> origin/export-D79328456
2025-11-03T16:15:02.2235466Z  * [new branch]              export-D80823877            -> origin/export-D80823877
2025-11-03T16:15:02.2236237Z  * [new branch]              export-D80958642            -> origin/export-D80958642
2025-11-03T16:15:02.2236925Z  * [new branch]              export-D81054193            -> origin/export-D81054193
2025-11-03T16:15:02.2237534Z  * [new branch]              export-D81204584            -> origin/export-D81204584
2025-11-03T16:15:02.2238305Z  * [new branch]              export-D81429090            -> origin/export-D81429090
2025-11-03T16:15:02.2239004Z  * [new branch]              export-D81698719            -> origin/export-D81698719
2025-11-03T16:15:02.2240099Z  * [new branch]              export-D82250826            -> origin/export-D82250826
2025-11-03T16:15:02.2240731Z  * [new branch]              export-D82253817            -> origin/export-D82253817
2025-11-03T16:15:02.2241569Z  * [new branch]              export-D83390563            -> origin/export-D83390563
2025-11-03T16:15:02.2242155Z  * [new branch]              export-D83391942            -> origin/export-D83391942
2025-11-03T16:15:02.2242806Z  * [new branch]              export-D83395610            -> origin/export-D83395610
2025-11-03T16:15:02.2245605Z  * [new branch]              export-D83541846            -> origin/export-D83541846
2025-11-03T16:15:02.2245919Z  * [new branch]              export-D83591083            -> origin/export-D83591083
2025-11-03T16:15:02.2246224Z  * [new branch]              export-D83609850            -> origin/export-D83609850
2025-11-03T16:15:02.2246521Z  * [new branch]              export-D83627170            -> origin/export-D83627170
2025-11-03T16:15:02.2246833Z  * [new branch]              export-D83714690            -> origin/export-D83714690
2025-11-03T16:15:02.2247155Z  * [new branch]              export-D83766701            -> origin/export-D83766701
2025-11-03T16:15:02.2250135Z  * [new branch]              export-D83768878            -> origin/export-D83768878
2025-11-03T16:15:02.2250454Z  * [new branch]              export-D83769447            -> origin/export-D83769447
2025-11-03T16:15:02.2250746Z  * [new branch]              export-D84009392            -> origin/export-D84009392
2025-11-03T16:15:02.2253941Z  * [new branch]              export-D84025878            -> origin/export-D84025878
2025-11-03T16:15:02.2254245Z  * [new branch]              export-D84089824            -> origin/export-D84089824
2025-11-03T16:15:02.2254541Z  * [new branch]              export-D84098898            -> origin/export-D84098898
2025-11-03T16:15:02.2254833Z  * [new branch]              export-D84103213            -> origin/export-D84103213
2025-11-03T16:15:02.2255124Z  * [new branch]              export-D84169910            -> origin/export-D84169910
2025-11-03T16:15:02.2255411Z  * [new branch]              export-D84213020            -> origin/export-D84213020
2025-11-03T16:15:02.2258639Z  * [new branch]              export-D84373821            -> origin/export-D84373821
2025-11-03T16:15:02.2258942Z  * [new branch]              export-D84522373            -> origin/export-D84522373
2025-11-03T16:15:02.2259243Z  * [new branch]              export-D84612194            -> origin/export-D84612194
2025-11-03T16:15:02.2259545Z  * [new branch]              export-D84890985            -> origin/export-D84890985
2025-11-03T16:15:02.2259832Z  * [new branch]              export-D85122326            -> origin/export-D85122326
2025-11-03T16:15:02.2260127Z  * [new branch]              export-D85745809            -> origin/export-D85745809
2025-11-03T16:15:02.2261722Z  * [new branch]              exported-model-train-idempotent -> origin/exported-model-train-idempotent
2025-11-03T16:15:02.2262140Z  * [new branch]              ezyang-titan-october        -> origin/ezyang-titan-october
2025-11-03T16:15:02.2262488Z  * [new branch]              ezyang-titan-october2       -> origin/ezyang-titan-october2
2025-11-03T16:15:02.2262812Z  * [new branch]              ezyang-war                  -> origin/ezyang-war
2025-11-03T16:15:02.2263142Z  * [new branch]              ezyang/wip-aot-descriptors  -> origin/ezyang/wip-aot-descriptors
2025-11-03T16:15:02.2263521Z  * [new branch]              fa_u8_brgemm                -> origin/fa_u8_brgemm
2025-11-03T16:15:02.2263871Z  * [new branch]              fadeputr-fix-fbgemm_genai-build -> origin/fadeputr-fix-fbgemm_genai-build
2025-11-03T16:15:02.2265304Z  * [new branch]              fadeputr/sequence_fbgemm    -> origin/fadeputr/sequence_fbgemm
2025-11-03T16:15:02.2265652Z  * [new branch]              fastmath_baseline           -> origin/fastmath_baseline
2025-11-03T16:15:02.2265948Z  * [new branch]              fbcode/warm                 -> origin/fbcode/warm
2025-11-03T16:15:02.2266227Z  * [new branch]              fca                         -> origin/fca
2025-11-03T16:15:02.2271525Z  * [new branch]              fca2_ca5984c                -> origin/fca2_ca5984c
2025-11-03T16:15:02.2271812Z  * [new branch]              fca5                        -> origin/fca5
2025-11-03T16:15:02.2272257Z  * [new branch]              feature/forkserver-numa     -> origin/feature/forkserver-numa
2025-11-03T16:15:02.2272715Z  * [new branch]              feature/justknobs-cpp       -> origin/feature/justknobs-cpp
2025-11-03T16:15:02.2273208Z  * [new branch]              feature/numa-forkserver     -> origin/feature/numa-forkserver
2025-11-03T16:15:02.2273561Z  * [new branch]              ffast_math_baseline         -> origin/ffast_math_baseline
2025-11-03T16:15:02.2273885Z  * [new branch]              ffast_math_target           -> origin/ffast_math_target
2025-11-03T16:15:02.2274214Z  * [new branch]              findhao/base_commit         -> origin/findhao/base_commit
2025-11-03T16:15:02.2274543Z  * [new branch]              findhao/base_commit1        -> origin/findhao/base_commit1
2025-11-03T16:15:02.2274874Z  * [new branch]              findhao/multistream2        -> origin/findhao/multistream2
2025-11-03T16:15:02.2275318Z  * [new branch]              findhao/multistream5        -> origin/findhao/multistream5
2025-11-03T16:15:02.2275657Z  * [new branch]              findhao/multistream6        -> origin/findhao/multistream6
2025-11-03T16:15:02.2276012Z  * [new branch]              findhao/operatorbench3      -> origin/findhao/operatorbench3
2025-11-03T16:15:02.2276370Z  * [new branch]              findhao/operatorbench5      -> origin/findhao/operatorbench5
2025-11-03T16:15:02.2276711Z  * [new branch]              findhao/tritonparse         -> origin/findhao/tritonparse
2025-11-03T16:15:02.2277091Z  * [new branch]              fix-ck-gemm-template-format -> origin/fix-ck-gemm-template-format
2025-11-03T16:15:02.2277492Z  * [new branch]              fix-config-ignore           -> origin/fix-config-ignore
2025-11-03T16:15:02.2279166Z  * [new branch]              fix-dict-guard              -> origin/fix-dict-guard
2025-11-03T16:15:02.2286136Z  * [new branch]              fix-rlease-feature-template -> origin/fix-rlease-feature-template
2025-11-03T16:15:02.2286618Z  * [new branch]              fix_addmm_issue             -> origin/fix_addmm_issue
2025-11-03T16:15:02.2287059Z  * [new branch]              fix_fx_graph_print_space    -> origin/fix_fx_graph_print_space
2025-11-03T16:15:02.2287468Z  * [new branch]              fix_nvrtc_discovery         -> origin/fix_nvrtc_discovery
2025-11-03T16:15:02.2287826Z  * [new branch]              fix_op_runner               -> origin/fix_op_runner
2025-11-03T16:15:02.2288171Z  * [new branch]              fix_ubn_159469              -> origin/fix_ubn_159469
2025-11-03T16:15:02.2288526Z  * [new branch]              fixbugh100                  -> origin/fixbugh100
2025-11-03T16:15:02.2288874Z  * [new branch]              fixes-triage                -> origin/fixes-triage
2025-11-03T16:15:02.2289225Z  * [new branch]              fixflashinfer               -> origin/fixflashinfer
2025-11-03T16:15:02.2289561Z  * [new branch]              fixvllmoct                  -> origin/fixvllmoct
2025-11-03T16:15:02.2290105Z  * [new branch]              flash_decoding_cpu          -> origin/flash_decoding_cpu
2025-11-03T16:15:02.2295756Z  * [new branch]              flex-flash                  -> origin/flex-flash
2025-11-03T16:15:02.2297857Z  * [new branch]              flex_attention_functorch_grad -> origin/flex_attention_functorch_grad
2025-11-03T16:15:02.2298387Z  * [new branch]              flex_flash                  -> origin/flex_flash
2025-11-03T16:15:02.2304612Z  * [new branch]              fmassa/fix_memeff_sharding_rule -> origin/fmassa/fix_memeff_sharding_rule
2025-11-03T16:15:02.2309221Z  * [new branch]              forkserver_fix              -> origin/forkserver_fix
2025-11-03T16:15:02.2313127Z  * [new branch]              fsdp2_trace_rules           -> origin/fsdp2_trace_rules
2025-11-03T16:15:02.2313497Z  * [new branch]              fx_cpp                      -> origin/fx_cpp
2025-11-03T16:15:02.2313790Z  * [new branch]              fy/fix-win                  -> origin/fy/fix-win
2025-11-03T16:15:02.2314159Z  * [new branch]              georgehong/cmakelists-patch -> origin/georgehong/cmakelists-patch
2025-11-03T16:15:02.2314541Z  * [new branch]              gh/AlnisM/1/base            -> origin/gh/AlnisM/1/base
2025-11-03T16:15:02.2314865Z  * [new branch]              gh/AlnisM/1/head            -> origin/gh/AlnisM/1/head
2025-11-03T16:15:02.2315187Z  * [new branch]              gh/ColinPeppler/94/base     -> origin/gh/ColinPeppler/94/base
2025-11-03T16:15:02.2315532Z  * [new branch]              gh/ColinPeppler/94/head     -> origin/gh/ColinPeppler/94/head
2025-11-03T16:15:02.2315874Z  * [new branch]              gh/ColinPeppler/94/orig     -> origin/gh/ColinPeppler/94/orig
2025-11-03T16:15:02.2316216Z  * [new branch]              gh/ColinPeppler/95/base     -> origin/gh/ColinPeppler/95/base
2025-11-03T16:15:02.2316552Z  * [new branch]              gh/ColinPeppler/95/head     -> origin/gh/ColinPeppler/95/head
2025-11-03T16:15:02.2317062Z  * [new branch]              gh/ColinPeppler/95/orig     -> origin/gh/ColinPeppler/95/orig
2025-11-03T16:15:02.2317415Z  * [new branch]              gh/EikanWang/67/base        -> origin/gh/EikanWang/67/base
2025-11-03T16:15:02.2317749Z  * [new branch]              gh/EikanWang/67/head        -> origin/gh/EikanWang/67/head
2025-11-03T16:15:02.2318078Z  * [new branch]              gh/EikanWang/68/base        -> origin/gh/EikanWang/68/base
2025-11-03T16:15:02.2318572Z  * [new branch]              gh/EikanWang/68/head        -> origin/gh/EikanWang/68/head
2025-11-03T16:15:02.2318968Z  * [new branch]              gh/EikanWang/68/orig        -> origin/gh/EikanWang/68/orig
2025-11-03T16:15:02.2319332Z  * [new branch]              gh/Gasoonjia/1/base         -> origin/gh/Gasoonjia/1/base
2025-11-03T16:15:02.2319696Z  * [new branch]              gh/Gasoonjia/1/head         -> origin/gh/Gasoonjia/1/head
2025-11-03T16:15:02.2320052Z  * [new branch]              gh/H-Huang/131/base         -> origin/gh/H-Huang/131/base
2025-11-03T16:15:02.2320399Z  * [new branch]              gh/H-Huang/131/head         -> origin/gh/H-Huang/131/head
2025-11-03T16:15:02.2320703Z  * [new branch]              gh/H-Huang/131/orig         -> origin/gh/H-Huang/131/orig
2025-11-03T16:15:02.2320997Z  * [new branch]              gh/H-Huang/132/base         -> origin/gh/H-Huang/132/base
2025-11-03T16:15:02.2321298Z  * [new branch]              gh/H-Huang/132/head         -> origin/gh/H-Huang/132/head
2025-11-03T16:15:02.2321588Z  * [new branch]              gh/H-Huang/132/orig         -> origin/gh/H-Huang/132/orig
2025-11-03T16:15:02.2321875Z  * [new branch]              gh/H-Huang/180/base         -> origin/gh/H-Huang/180/base
2025-11-03T16:15:02.2322171Z  * [new branch]              gh/H-Huang/180/head         -> origin/gh/H-Huang/180/head
2025-11-03T16:15:02.2322464Z  * [new branch]              gh/H-Huang/180/orig         -> origin/gh/H-Huang/180/orig
2025-11-03T16:15:02.2322754Z  * [new branch]              gh/H-Huang/182/base         -> origin/gh/H-Huang/182/base
2025-11-03T16:15:02.2323050Z  * [new branch]              gh/H-Huang/182/head         -> origin/gh/H-Huang/182/head
2025-11-03T16:15:02.2323338Z  * [new branch]              gh/H-Huang/182/orig         -> origin/gh/H-Huang/182/orig
2025-11-03T16:15:02.2323699Z  * [new branch]              gh/H-Huang/212/base         -> origin/gh/H-Huang/212/base
2025-11-03T16:15:02.2323992Z  * [new branch]              gh/H-Huang/212/head         -> origin/gh/H-Huang/212/head
2025-11-03T16:15:02.2324284Z  * [new branch]              gh/H-Huang/212/orig         -> origin/gh/H-Huang/212/orig
2025-11-03T16:15:02.2324577Z  * [new branch]              gh/H-Huang/214/base         -> origin/gh/H-Huang/214/base
2025-11-03T16:15:02.2324861Z  * [new branch]              gh/H-Huang/214/head         -> origin/gh/H-Huang/214/head
2025-11-03T16:15:02.2325156Z  * [new branch]              gh/H-Huang/214/orig         -> origin/gh/H-Huang/214/orig
2025-11-03T16:15:02.2325445Z  * [new branch]              gh/H-Huang/216/base         -> origin/gh/H-Huang/216/base
2025-11-03T16:15:02.2325740Z  * [new branch]              gh/H-Huang/216/head         -> origin/gh/H-Huang/216/head
2025-11-03T16:15:02.2326030Z  * [new branch]              gh/H-Huang/216/orig         -> origin/gh/H-Huang/216/orig
2025-11-03T16:15:02.2326316Z  * [new branch]              gh/H-Huang/218/base         -> origin/gh/H-Huang/218/base
2025-11-03T16:15:02.2326604Z  * [new branch]              gh/H-Huang/218/head         -> origin/gh/H-Huang/218/head
2025-11-03T16:15:02.2326896Z  * [new branch]              gh/H-Huang/218/orig         -> origin/gh/H-Huang/218/orig
2025-11-03T16:15:02.2327194Z  * [new branch]              gh/H-Huang/219/base         -> origin/gh/H-Huang/219/base
2025-11-03T16:15:02.2327487Z  * [new branch]              gh/H-Huang/219/head         -> origin/gh/H-Huang/219/head
2025-11-03T16:15:02.2327771Z  * [new branch]              gh/H-Huang/219/orig         -> origin/gh/H-Huang/219/orig
2025-11-03T16:15:02.2328099Z  * [new branch]              gh/H-Huang/220/base         -> origin/gh/H-Huang/220/base
2025-11-03T16:15:02.2328398Z  * [new branch]              gh/H-Huang/220/head         -> origin/gh/H-Huang/220/head
2025-11-03T16:15:02.2328699Z  * [new branch]              gh/H-Huang/220/orig         -> origin/gh/H-Huang/220/orig
2025-11-03T16:15:02.2328997Z  * [new branch]              gh/H-Huang/221/base         -> origin/gh/H-Huang/221/base
2025-11-03T16:15:02.2329287Z  * [new branch]              gh/H-Huang/221/head         -> origin/gh/H-Huang/221/head
2025-11-03T16:15:02.2329832Z  * [new branch]              gh/H-Huang/221/orig         -> origin/gh/H-Huang/221/orig
2025-11-03T16:15:02.2330961Z  * [new branch]              gh/H-Huang/222/base         -> origin/gh/H-Huang/222/base
2025-11-03T16:15:02.2331269Z  * [new branch]              gh/H-Huang/222/head         -> origin/gh/H-Huang/222/head
2025-11-03T16:15:02.2331956Z  * [new branch]              gh/H-Huang/222/orig         -> origin/gh/H-Huang/222/orig
2025-11-03T16:15:02.2333135Z  * [new branch]              gh/H-Huang/223/base         -> origin/gh/H-Huang/223/base
2025-11-03T16:15:02.2333614Z  * [new branch]              gh/H-Huang/223/head         -> origin/gh/H-Huang/223/head
2025-11-03T16:15:02.2334283Z  * [new branch]              gh/H-Huang/223/orig         -> origin/gh/H-Huang/223/orig
2025-11-03T16:15:02.2335252Z  * [new branch]              gh/H-Huang/224/base         -> origin/gh/H-Huang/224/base
2025-11-03T16:15:02.2335655Z  * [new branch]              gh/H-Huang/224/head         -> origin/gh/H-Huang/224/head
2025-11-03T16:15:02.2337893Z  * [new branch]              gh/H-Huang/224/orig         -> origin/gh/H-Huang/224/orig
2025-11-03T16:15:02.2338265Z  * [new branch]              gh/H-Huang/225/base         -> origin/gh/H-Huang/225/base
2025-11-03T16:15:02.2338580Z  * [new branch]              gh/H-Huang/225/head         -> origin/gh/H-Huang/225/head
2025-11-03T16:15:02.2339066Z  * [new branch]              gh/H-Huang/225/orig         -> origin/gh/H-Huang/225/orig
2025-11-03T16:15:02.2340041Z  * [new branch]              gh/H-Huang/226/base         -> origin/gh/H-Huang/226/base
2025-11-03T16:15:02.2340422Z  * [new branch]              gh/H-Huang/226/head         -> origin/gh/H-Huang/226/head
2025-11-03T16:15:02.2340734Z  * [new branch]              gh/H-Huang/226/orig         -> origin/gh/H-Huang/226/orig
2025-11-03T16:15:02.2342029Z  * [new branch]              gh/H-Huang/227/base         -> origin/gh/H-Huang/227/base
2025-11-03T16:15:02.2342344Z  * [new branch]              gh/H-Huang/227/head         -> origin/gh/H-Huang/227/head
2025-11-03T16:15:02.2343177Z  * [new branch]              gh/H-Huang/227/orig         -> origin/gh/H-Huang/227/orig
2025-11-03T16:15:02.2344261Z  * [new branch]              gh/H-Huang/228/base         -> origin/gh/H-Huang/228/base
2025-11-03T16:15:02.2344722Z  * [new branch]              gh/H-Huang/228/head         -> origin/gh/H-Huang/228/head
2025-11-03T16:15:02.2345214Z  * [new branch]              gh/H-Huang/228/orig         -> origin/gh/H-Huang/228/orig
2025-11-03T16:15:02.2347169Z  * [new branch]              gh/IvanKobzarev/150/base    -> origin/gh/IvanKobzarev/150/base
2025-11-03T16:15:02.2347576Z  * [new branch]              gh/IvanKobzarev/150/head    -> origin/gh/IvanKobzarev/150/head
2025-11-03T16:15:02.2348015Z  * [new branch]              gh/IvanKobzarev/150/orig    -> origin/gh/IvanKobzarev/150/orig
2025-11-03T16:15:02.2348826Z  * [new branch]              gh/IvanKobzarev/151/base    -> origin/gh/IvanKobzarev/151/base
2025-11-03T16:15:02.2349511Z  * [new branch]              gh/IvanKobzarev/151/head    -> origin/gh/IvanKobzarev/151/head
2025-11-03T16:15:02.2350152Z  * [new branch]              gh/IvanKobzarev/151/orig    -> origin/gh/IvanKobzarev/151/orig
2025-11-03T16:15:02.2351454Z  * [new branch]              gh/IvanKobzarev/156/base    -> origin/gh/IvanKobzarev/156/base
2025-11-03T16:15:02.2351800Z  * [new branch]              gh/IvanKobzarev/156/head    -> origin/gh/IvanKobzarev/156/head
2025-11-03T16:15:02.2352633Z  * [new branch]              gh/IvanKobzarev/156/orig    -> origin/gh/IvanKobzarev/156/orig
2025-11-03T16:15:02.2353742Z  * [new branch]              gh/IvanKobzarev/157/base    -> origin/gh/IvanKobzarev/157/base
2025-11-03T16:15:02.2354096Z  * [new branch]              gh/IvanKobzarev/157/head    -> origin/gh/IvanKobzarev/157/head
2025-11-03T16:15:02.2354881Z  * [new branch]              gh/IvanKobzarev/157/orig    -> origin/gh/IvanKobzarev/157/orig
2025-11-03T16:15:02.2355969Z  * [new branch]              gh/IvanKobzarev/158/base    -> origin/gh/IvanKobzarev/158/base
2025-11-03T16:15:02.2356465Z  * [new branch]              gh/IvanKobzarev/158/head    -> origin/gh/IvanKobzarev/158/head
2025-11-03T16:15:02.2357171Z  * [new branch]              gh/IvanKobzarev/158/orig    -> origin/gh/IvanKobzarev/158/orig
2025-11-03T16:15:02.2358259Z  * [new branch]              gh/IvanKobzarev/159/base    -> origin/gh/IvanKobzarev/159/base
2025-11-03T16:15:02.2358835Z  * [new branch]              gh/IvanKobzarev/159/head    -> origin/gh/IvanKobzarev/159/head
2025-11-03T16:15:02.2359484Z  * [new branch]              gh/IvanKobzarev/159/orig    -> origin/gh/IvanKobzarev/159/orig
2025-11-03T16:15:02.2360712Z  * [new branch]              gh/IvanKobzarev/161/base    -> origin/gh/IvanKobzarev/161/base
2025-11-03T16:15:02.2361236Z  * [new branch]              gh/IvanKobzarev/161/head    -> origin/gh/IvanKobzarev/161/head
2025-11-03T16:15:02.2361896Z  * [new branch]              gh/IvanKobzarev/161/orig    -> origin/gh/IvanKobzarev/161/orig
2025-11-03T16:15:02.2363051Z  * [new branch]              gh/IvanKobzarev/162/base    -> origin/gh/IvanKobzarev/162/base
2025-11-03T16:15:02.2363610Z  * [new branch]              gh/IvanKobzarev/162/head    -> origin/gh/IvanKobzarev/162/head
2025-11-03T16:15:02.2364236Z  * [new branch]              gh/IvanKobzarev/162/orig    -> origin/gh/IvanKobzarev/162/orig
2025-11-03T16:15:02.2365351Z  * [new branch]              gh/IvanKobzarev/163/base    -> origin/gh/IvanKobzarev/163/base
2025-11-03T16:15:02.2365934Z  * [new branch]              gh/IvanKobzarev/163/head    -> origin/gh/IvanKobzarev/163/head
2025-11-03T16:15:02.2366536Z  * [new branch]              gh/IvanKobzarev/163/orig    -> origin/gh/IvanKobzarev/163/orig
2025-11-03T16:15:02.2368179Z  * [new branch]              gh/IvanKobzarev/164/base    -> origin/gh/IvanKobzarev/164/base
2025-11-03T16:15:02.2368836Z  * [new branch]              gh/IvanKobzarev/164/head    -> origin/gh/IvanKobzarev/164/head
2025-11-03T16:15:02.2369219Z  * [new branch]              gh/IvanKobzarev/164/orig    -> origin/gh/IvanKobzarev/164/orig
2025-11-03T16:15:02.2371060Z  * [new branch]              gh/IvanKobzarev/165/base    -> origin/gh/IvanKobzarev/165/base
2025-11-03T16:15:02.2371476Z  * [new branch]              gh/IvanKobzarev/165/head    -> origin/gh/IvanKobzarev/165/head
2025-11-03T16:15:02.2371831Z  * [new branch]              gh/IvanKobzarev/165/orig    -> origin/gh/IvanKobzarev/165/orig
2025-11-03T16:15:02.2372687Z  * [new branch]              gh/NikhilAPatel/1/base      -> origin/gh/NikhilAPatel/1/base
2025-11-03T16:15:02.2373448Z  * [new branch]              gh/NikhilAPatel/1/head      -> origin/gh/NikhilAPatel/1/head
2025-11-03T16:15:02.2374317Z  * [new branch]              gh/NikhilAPatel/2/base      -> origin/gh/NikhilAPatel/2/base
2025-11-03T16:15:02.2374930Z  * [new branch]              gh/NikhilAPatel/2/head      -> origin/gh/NikhilAPatel/2/head
2025-11-03T16:15:02.2376890Z  * [new branch]              gh/NikhilAPatel/4/base      -> origin/gh/NikhilAPatel/4/base
2025-11-03T16:15:02.2377438Z  * [new branch]              gh/NikhilAPatel/4/head      -> origin/gh/NikhilAPatel/4/head
2025-11-03T16:15:02.2377839Z  * [new branch]              gh/PaliC/17/base            -> origin/gh/PaliC/17/base
2025-11-03T16:15:02.2378369Z  * [new branch]              gh/PaliC/17/head            -> origin/gh/PaliC/17/head
2025-11-03T16:15:02.2379060Z  * [new branch]              gh/PaliC/17/orig            -> origin/gh/PaliC/17/orig
2025-11-03T16:15:02.2383397Z  * [new branch]              gh/PaliC/18/base            -> origin/gh/PaliC/18/base
2025-11-03T16:15:02.2384151Z  * [new branch]              gh/PaliC/18/head            -> origin/gh/PaliC/18/head
2025-11-03T16:15:02.2384599Z  * [new branch]              gh/PaliC/18/orig            -> origin/gh/PaliC/18/orig
2025-11-03T16:15:02.2384926Z  * [new branch]              gh/PaliC/20/base            -> origin/gh/PaliC/20/base
2025-11-03T16:15:02.2385228Z  * [new branch]              gh/PaliC/20/head            -> origin/gh/PaliC/20/head
2025-11-03T16:15:02.2385516Z  * [new branch]              gh/PaliC/20/orig            -> origin/gh/PaliC/20/orig
2025-11-03T16:15:02.2385807Z  * [new branch]              gh/PaliC/21/base            -> origin/gh/PaliC/21/base
2025-11-03T16:15:02.2386089Z  * [new branch]              gh/PaliC/21/head            -> origin/gh/PaliC/21/head
2025-11-03T16:15:02.2386389Z  * [new branch]              gh/PaliC/21/orig            -> origin/gh/PaliC/21/orig
2025-11-03T16:15:02.2386780Z  * [new branch]              gh/PaliC/23/base            -> origin/gh/PaliC/23/base
2025-11-03T16:15:02.2387207Z  * [new branch]              gh/PaliC/23/head            -> origin/gh/PaliC/23/head
2025-11-03T16:15:02.2387798Z  * [new branch]              gh/PaliC/23/orig            -> origin/gh/PaliC/23/orig
2025-11-03T16:15:02.2389102Z  * [new branch]              gh/PaliC/24/base            -> origin/gh/PaliC/24/base
2025-11-03T16:15:02.2389497Z  * [new branch]              gh/PaliC/24/head            -> origin/gh/PaliC/24/head
2025-11-03T16:15:02.2390024Z  * [new branch]              gh/PaliC/24/orig            -> origin/gh/PaliC/24/orig
2025-11-03T16:15:02.2392069Z  * [new branch]              gh/PaliC/25/head            -> origin/gh/PaliC/25/head
2025-11-03T16:15:02.2395160Z  * [new branch]              gh/PaliC/25/next            -> origin/gh/PaliC/25/next
2025-11-03T16:15:02.2395542Z  * [new branch]              gh/PaliC/25/orig            -> origin/gh/PaliC/25/orig
2025-11-03T16:15:02.2395865Z  * [new branch]              gh/PaliC/26/head            -> origin/gh/PaliC/26/head
2025-11-03T16:15:02.2396192Z  * [new branch]              gh/PaliC/26/next            -> origin/gh/PaliC/26/next
2025-11-03T16:15:02.2396496Z  * [new branch]              gh/PaliC/26/orig            -> origin/gh/PaliC/26/orig
2025-11-03T16:15:02.2396977Z  * [new branch]              gh/PaliC/27/next            -> origin/gh/PaliC/27/next
2025-11-03T16:15:02.2397289Z  * [new branch]              gh/PaliC/28/head            -> origin/gh/PaliC/28/head
2025-11-03T16:15:02.2397602Z  * [new branch]              gh/PaliC/28/next            -> origin/gh/PaliC/28/next
2025-11-03T16:15:02.2397910Z  * [new branch]              gh/PaliC/28/orig            -> origin/gh/PaliC/28/orig
2025-11-03T16:15:02.2398400Z  * [new branch]              gh/PaliC/29/head            -> origin/gh/PaliC/29/head
2025-11-03T16:15:02.2404354Z  * [new branch]              gh/PaliC/29/next            -> origin/gh/PaliC/29/next
2025-11-03T16:15:02.2404741Z  * [new branch]              gh/PaliC/29/orig            -> origin/gh/PaliC/29/orig
2025-11-03T16:15:02.2405080Z  * [new branch]              gh/PaliC/30/head            -> origin/gh/PaliC/30/head
2025-11-03T16:15:02.2405394Z  * [new branch]              gh/PaliC/30/next            -> origin/gh/PaliC/30/next
2025-11-03T16:15:02.2405704Z  * [new branch]              gh/PaliC/30/orig            -> origin/gh/PaliC/30/orig
2025-11-03T16:15:02.2406013Z  * [new branch]              gh/PaliC/31/head            -> origin/gh/PaliC/31/head
2025-11-03T16:15:02.2406308Z  * [new branch]              gh/PaliC/31/next            -> origin/gh/PaliC/31/next
2025-11-03T16:15:02.2406605Z  * [new branch]              gh/PaliC/31/orig            -> origin/gh/PaliC/31/orig
2025-11-03T16:15:02.2406956Z  * [new branch]              gh/PaulZhang12/22/base      -> origin/gh/PaulZhang12/22/base
2025-11-03T16:15:02.2407304Z  * [new branch]              gh/PaulZhang12/22/head      -> origin/gh/PaulZhang12/22/head
2025-11-03T16:15:02.2411899Z  * [new branch]              gh/PaulZhang12/22/orig      -> origin/gh/PaulZhang12/22/orig
2025-11-03T16:15:02.2412621Z  * [new branch]              gh/PaulZhang12/25/base      -> origin/gh/PaulZhang12/25/base
2025-11-03T16:15:02.2413124Z  * [new branch]              gh/PaulZhang12/25/head      -> origin/gh/PaulZhang12/25/head
2025-11-03T16:15:02.2413501Z  * [new branch]              gh/PaulZhang12/25/orig      -> origin/gh/PaulZhang12/25/orig
2025-11-03T16:15:02.2413859Z  * [new branch]              gh/PaulZhang12/26/base      -> origin/gh/PaulZhang12/26/base
2025-11-03T16:15:02.2414193Z  * [new branch]              gh/PaulZhang12/26/head      -> origin/gh/PaulZhang12/26/head
2025-11-03T16:15:02.2414546Z  * [new branch]              gh/PaulZhang12/26/orig      -> origin/gh/PaulZhang12/26/orig
2025-11-03T16:15:02.2414882Z  * [new branch]              gh/PaulZhang12/27/base      -> origin/gh/PaulZhang12/27/base
2025-11-03T16:15:02.2415219Z  * [new branch]              gh/PaulZhang12/27/head      -> origin/gh/PaulZhang12/27/head
2025-11-03T16:15:02.2415559Z  * [new branch]              gh/PaulZhang12/27/orig      -> origin/gh/PaulZhang12/27/orig
2025-11-03T16:15:02.2416045Z  * [new branch]              gh/PaulZhang12/28/base      -> origin/gh/PaulZhang12/28/base
2025-11-03T16:15:02.2416500Z  * [new branch]              gh/PaulZhang12/28/head      -> origin/gh/PaulZhang12/28/head
2025-11-03T16:15:02.2416982Z  * [new branch]              gh/PaulZhang12/28/orig      -> origin/gh/PaulZhang12/28/orig
2025-11-03T16:15:02.2417330Z  * [new branch]              gh/PaulZhang12/30/base      -> origin/gh/PaulZhang12/30/base
2025-11-03T16:15:02.2417678Z  * [new branch]              gh/PaulZhang12/30/head      -> origin/gh/PaulZhang12/30/head
2025-11-03T16:15:02.2418019Z  * [new branch]              gh/PaulZhang12/30/orig      -> origin/gh/PaulZhang12/30/orig
2025-11-03T16:15:02.2419703Z  * [new branch]              gh/PaulZhang12/31/base      -> origin/gh/PaulZhang12/31/base
2025-11-03T16:15:02.2420057Z  * [new branch]              gh/PaulZhang12/31/head      -> origin/gh/PaulZhang12/31/head
2025-11-03T16:15:02.2420452Z  * [new branch]              gh/PaulZhang12/31/orig      -> origin/gh/PaulZhang12/31/orig
2025-11-03T16:15:02.2424534Z  * [new branch]              gh/PaulZhang12/32/base      -> origin/gh/PaulZhang12/32/base
2025-11-03T16:15:02.2425087Z  * [new branch]              gh/PaulZhang12/32/head      -> origin/gh/PaulZhang12/32/head
2025-11-03T16:15:02.2425435Z  * [new branch]              gh/PaulZhang12/32/orig      -> origin/gh/PaulZhang12/32/orig
2025-11-03T16:15:02.2425768Z  * [new branch]              gh/PaulZhang12/33/base      -> origin/gh/PaulZhang12/33/base
2025-11-03T16:15:02.2430886Z  * [new branch]              gh/PaulZhang12/33/head      -> origin/gh/PaulZhang12/33/head
2025-11-03T16:15:02.2433429Z  * [new branch]              gh/PaulZhang12/33/orig      -> origin/gh/PaulZhang12/33/orig
2025-11-03T16:15:02.2433869Z  * [new branch]              gh/PaulZhang12/34/base      -> origin/gh/PaulZhang12/34/base
2025-11-03T16:15:02.2434264Z  * [new branch]              gh/PaulZhang12/34/head      -> origin/gh/PaulZhang12/34/head
2025-11-03T16:15:02.2434657Z  * [new branch]              gh/PaulZhang12/34/orig      -> origin/gh/PaulZhang12/34/orig
2025-11-03T16:15:02.2435019Z  * [new branch]              gh/PaulZhang12/35/base      -> origin/gh/PaulZhang12/35/base
2025-11-03T16:15:02.2435367Z  * [new branch]              gh/PaulZhang12/35/head      -> origin/gh/PaulZhang12/35/head
2025-11-03T16:15:02.2435710Z  * [new branch]              gh/PaulZhang12/35/orig      -> origin/gh/PaulZhang12/35/orig
2025-11-03T16:15:02.2436104Z  * [new branch]              gh/PaulZhang12/36/base      -> origin/gh/PaulZhang12/36/base
2025-11-03T16:15:02.2436450Z  * [new branch]              gh/PaulZhang12/36/head      -> origin/gh/PaulZhang12/36/head
2025-11-03T16:15:02.2436790Z  * [new branch]              gh/PaulZhang12/36/orig      -> origin/gh/PaulZhang12/36/orig
2025-11-03T16:15:02.2437127Z  * [new branch]              gh/PaulZhang12/37/base      -> origin/gh/PaulZhang12/37/base
2025-11-03T16:15:02.2437937Z  * [new branch]              gh/PaulZhang12/37/head      -> origin/gh/PaulZhang12/37/head
2025-11-03T16:15:02.2442223Z  * [new branch]              gh/PaulZhang12/37/orig      -> origin/gh/PaulZhang12/37/orig
2025-11-03T16:15:02.2442758Z  * [new branch]              gh/PaulZhang12/38/base      -> origin/gh/PaulZhang12/38/base
2025-11-03T16:15:02.2443278Z  * [new branch]              gh/PaulZhang12/38/head      -> origin/gh/PaulZhang12/38/head
2025-11-03T16:15:02.2443769Z  * [new branch]              gh/PaulZhang12/38/orig      -> origin/gh/PaulZhang12/38/orig
2025-11-03T16:15:02.2444132Z  * [new branch]              gh/PaulZhang12/39/base      -> origin/gh/PaulZhang12/39/base
2025-11-03T16:15:02.2444486Z  * [new branch]              gh/PaulZhang12/39/head      -> origin/gh/PaulZhang12/39/head
2025-11-03T16:15:02.2444831Z  * [new branch]              gh/PaulZhang12/39/orig      -> origin/gh/PaulZhang12/39/orig
2025-11-03T16:15:02.2445169Z  * [new branch]              gh/PaulZhang12/40/base      -> origin/gh/PaulZhang12/40/base
2025-11-03T16:15:02.2445501Z  * [new branch]              gh/PaulZhang12/40/head      -> origin/gh/PaulZhang12/40/head
2025-11-03T16:15:02.2445878Z  * [new branch]              gh/PaulZhang12/40/orig      -> origin/gh/PaulZhang12/40/orig
2025-11-03T16:15:02.2446259Z  * [new branch]              gh/PaulZhang12/41/base      -> origin/gh/PaulZhang12/41/base
2025-11-03T16:15:02.2446611Z  * [new branch]              gh/PaulZhang12/41/head      -> origin/gh/PaulZhang12/41/head
2025-11-03T16:15:02.2447022Z  * [new branch]              gh/PaulZhang12/41/orig      -> origin/gh/PaulZhang12/41/orig
2025-11-03T16:15:02.2448694Z  * [new branch]              gh/SamGinzburg/11/base      -> origin/gh/SamGinzburg/11/base
2025-11-03T16:15:02.2449104Z  * [new branch]              gh/SamGinzburg/11/head      -> origin/gh/SamGinzburg/11/head
2025-11-03T16:15:02.2451858Z  * [new branch]              gh/SherlockNoMad/1/base     -> origin/gh/SherlockNoMad/1/base
2025-11-03T16:15:02.2452456Z  * [new branch]              gh/SherlockNoMad/1/head     -> origin/gh/SherlockNoMad/1/head
2025-11-03T16:15:02.2452966Z  * [new branch]              gh/SherlockNoMad/10/base    -> origin/gh/SherlockNoMad/10/base
2025-11-03T16:15:02.2453826Z  * [new branch]              gh/SherlockNoMad/10/head    -> origin/gh/SherlockNoMad/10/head
2025-11-03T16:15:02.2454387Z  * [new branch]              gh/SherlockNoMad/10/orig    -> origin/gh/SherlockNoMad/10/orig
2025-11-03T16:15:02.2454738Z  * [new branch]              gh/SherlockNoMad/11/base    -> origin/gh/SherlockNoMad/11/base
2025-11-03T16:15:02.2455261Z  * [new branch]              gh/SherlockNoMad/11/head    -> origin/gh/SherlockNoMad/11/head
2025-11-03T16:15:02.2455740Z  * [new branch]              gh/SherlockNoMad/11/orig    -> origin/gh/SherlockNoMad/11/orig
2025-11-03T16:15:02.2456166Z  * [new branch]              gh/SherlockNoMad/12/base    -> origin/gh/SherlockNoMad/12/base
2025-11-03T16:15:02.2456708Z  * [new branch]              gh/SherlockNoMad/12/head    -> origin/gh/SherlockNoMad/12/head
2025-11-03T16:15:02.2457438Z  * [new branch]              gh/SherlockNoMad/12/orig    -> origin/gh/SherlockNoMad/12/orig
2025-11-03T16:15:02.2458106Z  * [new branch]              gh/SherlockNoMad/13/base    -> origin/gh/SherlockNoMad/13/base
2025-11-03T16:15:02.2458723Z  * [new branch]              gh/SherlockNoMad/13/head    -> origin/gh/SherlockNoMad/13/head
2025-11-03T16:15:02.2460236Z  * [new branch]              gh/SherlockNoMad/13/orig    -> origin/gh/SherlockNoMad/13/orig
2025-11-03T16:15:02.2460800Z  * [new branch]              gh/SherlockNoMad/14/base    -> origin/gh/SherlockNoMad/14/base
2025-11-03T16:15:02.2461272Z  * [new branch]              gh/SherlockNoMad/14/head    -> origin/gh/SherlockNoMad/14/head
2025-11-03T16:15:02.2461932Z  * [new branch]              gh/SherlockNoMad/14/orig    -> origin/gh/SherlockNoMad/14/orig
2025-11-03T16:15:02.2463445Z  * [new branch]              gh/SherlockNoMad/15/base    -> origin/gh/SherlockNoMad/15/base
2025-11-03T16:15:02.2464168Z  * [new branch]              gh/SherlockNoMad/15/head    -> origin/gh/SherlockNoMad/15/head
2025-11-03T16:15:02.2464651Z  * [new branch]              gh/SherlockNoMad/15/orig    -> origin/gh/SherlockNoMad/15/orig
2025-11-03T16:15:02.2465090Z  * [new branch]              gh/SherlockNoMad/16/base    -> origin/gh/SherlockNoMad/16/base
2025-11-03T16:15:02.2465749Z  * [new branch]              gh/SherlockNoMad/16/head    -> origin/gh/SherlockNoMad/16/head
2025-11-03T16:15:02.2466440Z  * [new branch]              gh/SherlockNoMad/16/orig    -> origin/gh/SherlockNoMad/16/orig
2025-11-03T16:15:02.2469943Z  * [new branch]              gh/SherlockNoMad/17/base    -> origin/gh/SherlockNoMad/17/base
2025-11-03T16:15:02.2470478Z  * [new branch]              gh/SherlockNoMad/17/head    -> origin/gh/SherlockNoMad/17/head
2025-11-03T16:15:02.2470948Z  * [new branch]              gh/SherlockNoMad/17/orig    -> origin/gh/SherlockNoMad/17/orig
2025-11-03T16:15:02.2471776Z  * [new branch]              gh/SherlockNoMad/2/base     -> origin/gh/SherlockNoMad/2/base
2025-11-03T16:15:02.2472196Z  * [new branch]              gh/SherlockNoMad/2/head     -> origin/gh/SherlockNoMad/2/head
2025-11-03T16:15:02.2472548Z  * [new branch]              gh/SherlockNoMad/3/base     -> origin/gh/SherlockNoMad/3/base
2025-11-03T16:15:02.2472888Z  * [new branch]              gh/SherlockNoMad/3/head     -> origin/gh/SherlockNoMad/3/head
2025-11-03T16:15:02.2473230Z  * [new branch]              gh/SherlockNoMad/4/base     -> origin/gh/SherlockNoMad/4/base
2025-11-03T16:15:02.2473559Z  * [new branch]              gh/SherlockNoMad/4/head     -> origin/gh/SherlockNoMad/4/head
2025-11-03T16:15:02.2473898Z  * [new branch]              gh/SherlockNoMad/5/base     -> origin/gh/SherlockNoMad/5/base
2025-11-03T16:15:02.2474233Z  * [new branch]              gh/SherlockNoMad/5/head     -> origin/gh/SherlockNoMad/5/head
2025-11-03T16:15:02.2475890Z  * [new branch]              gh/Sidharth123-cpu/24/base  -> origin/gh/Sidharth123-cpu/24/base
2025-11-03T16:15:02.2476263Z  * [new branch]              gh/Sidharth123-cpu/25/base  -> origin/gh/Sidharth123-cpu/25/base
2025-11-03T16:15:02.2477036Z  * [new branch]              gh/Sidharth123-cpu/26/base  -> origin/gh/Sidharth123-cpu/26/base
2025-11-03T16:15:02.2477760Z  * [new branch]              gh/Sidharth123-cpu/27/base  -> origin/gh/Sidharth123-cpu/27/base
2025-11-03T16:15:02.2479305Z  * [new branch]              gh/StrongerXi/1/base        -> origin/gh/StrongerXi/1/base
2025-11-03T16:15:02.2479890Z  * [new branch]              gh/StrongerXi/1/head        -> origin/gh/StrongerXi/1/head
2025-11-03T16:15:02.2483090Z  * [new branch]              gh/StrongerXi/136/base      -> origin/gh/StrongerXi/136/base
2025-11-03T16:15:02.2483428Z  * [new branch]              gh/StrongerXi/136/head      -> origin/gh/StrongerXi/136/head
2025-11-03T16:15:02.2483743Z  * [new branch]              gh/StrongerXi/136/orig      -> origin/gh/StrongerXi/136/orig
2025-11-03T16:15:02.2484066Z  * [new branch]              gh/StrongerXi/137/base      -> origin/gh/StrongerXi/137/base
2025-11-03T16:15:02.2484388Z  * [new branch]              gh/StrongerXi/137/head      -> origin/gh/StrongerXi/137/head
2025-11-03T16:15:02.2488146Z  * [new branch]              gh/StrongerXi/137/orig      -> origin/gh/StrongerXi/137/orig
2025-11-03T16:15:02.2488582Z  * [new branch]              gh/StrongerXi/138/base      -> origin/gh/StrongerXi/138/base
2025-11-03T16:15:02.2488928Z  * [new branch]              gh/StrongerXi/138/head      -> origin/gh/StrongerXi/138/head
2025-11-03T16:15:02.2489277Z  * [new branch]              gh/StrongerXi/138/orig      -> origin/gh/StrongerXi/138/orig
2025-11-03T16:15:02.2489611Z  * [new branch]              gh/StrongerXi/71/base       -> origin/gh/StrongerXi/71/base
2025-11-03T16:15:02.2489940Z  * [new branch]              gh/StrongerXi/71/head       -> origin/gh/StrongerXi/71/head
2025-11-03T16:15:02.2490310Z  * [new branch]              gh/StrongerXi/72/base       -> origin/gh/StrongerXi/72/base
2025-11-03T16:15:02.2490839Z  * [new branch]              gh/StrongerXi/72/head       -> origin/gh/StrongerXi/72/head
2025-11-03T16:15:02.2491174Z  * [new branch]              gh/XilunWu/151/base         -> origin/gh/XilunWu/151/base
2025-11-03T16:15:02.2497420Z  * [new branch]              gh/XilunWu/151/head         -> origin/gh/XilunWu/151/head
2025-11-03T16:15:02.2501612Z  * [new branch]              gh/XilunWu/151/orig         -> origin/gh/XilunWu/151/orig
2025-11-03T16:15:02.2503286Z  * [new branch]              gh/XilunWu/152/base         -> origin/gh/XilunWu/152/base
2025-11-03T16:15:02.2503605Z  * [new branch]              gh/XilunWu/152/head         -> origin/gh/XilunWu/152/head
2025-11-03T16:15:02.2503919Z  * [new branch]              gh/XilunWu/152/orig         -> origin/gh/XilunWu/152/orig
2025-11-03T16:15:02.2504236Z  * [new branch]              gh/XilunWu/160/base         -> origin/gh/XilunWu/160/base
2025-11-03T16:15:02.2504542Z  * [new branch]              gh/XilunWu/160/head         -> origin/gh/XilunWu/160/head
2025-11-03T16:15:02.2504881Z  * [new branch]              gh/XilunWu/160/orig         -> origin/gh/XilunWu/160/orig
2025-11-03T16:15:02.2505188Z  * [new branch]              gh/XilunWu/163/base         -> origin/gh/XilunWu/163/base
2025-11-03T16:15:02.2505480Z  * [new branch]              gh/XilunWu/163/head         -> origin/gh/XilunWu/163/head
2025-11-03T16:15:02.2505784Z  * [new branch]              gh/XilunWu/163/orig         -> origin/gh/XilunWu/163/orig
2025-11-03T16:15:02.2506079Z  * [new branch]              gh/XilunWu/166/base         -> origin/gh/XilunWu/166/base
2025-11-03T16:15:02.2506368Z  * [new branch]              gh/XilunWu/166/head         -> origin/gh/XilunWu/166/head
2025-11-03T16:15:02.2506661Z  * [new branch]              gh/XilunWu/166/orig         -> origin/gh/XilunWu/166/orig
2025-11-03T16:15:02.2506955Z  * [new branch]              gh/XilunWu/168/base         -> origin/gh/XilunWu/168/base
2025-11-03T16:15:02.2507247Z  * [new branch]              gh/XilunWu/168/head         -> origin/gh/XilunWu/168/head
2025-11-03T16:15:02.2507545Z  * [new branch]              gh/XilunWu/168/orig         -> origin/gh/XilunWu/168/orig
2025-11-03T16:15:02.2507837Z  * [new branch]              gh/XilunWu/169/base         -> origin/gh/XilunWu/169/base
2025-11-03T16:15:02.2508242Z  * [new branch]              gh/XilunWu/169/head         -> origin/gh/XilunWu/169/head
2025-11-03T16:15:02.2510250Z  * [new branch]              gh/XilunWu/169/orig         -> origin/gh/XilunWu/169/orig
2025-11-03T16:15:02.2510558Z  * [new branch]              gh/XilunWu/170/base         -> origin/gh/XilunWu/170/base
2025-11-03T16:15:02.2510867Z  * [new branch]              gh/XilunWu/170/head         -> origin/gh/XilunWu/170/head
2025-11-03T16:15:02.2511169Z  * [new branch]              gh/XilunWu/170/orig         -> origin/gh/XilunWu/170/orig
2025-11-03T16:15:02.2511460Z  * [new branch]              gh/XilunWu/171/base         -> origin/gh/XilunWu/171/base
2025-11-03T16:15:02.2511754Z  * [new branch]              gh/XilunWu/171/head         -> origin/gh/XilunWu/171/head
2025-11-03T16:15:02.2512062Z  * [new branch]              gh/XilunWu/171/orig         -> origin/gh/XilunWu/171/orig
2025-11-03T16:15:02.2512369Z  * [new branch]              gh/XilunWu/172/base         -> origin/gh/XilunWu/172/base
2025-11-03T16:15:02.2513691Z  * [new branch]              gh/XilunWu/172/head         -> origin/gh/XilunWu/172/head
2025-11-03T16:15:02.2513997Z  * [new branch]              gh/XilunWu/172/orig         -> origin/gh/XilunWu/172/orig
2025-11-03T16:15:02.2514309Z  * [new branch]              gh/XilunWu/173/base         -> origin/gh/XilunWu/173/base
2025-11-03T16:15:02.2514632Z  * [new branch]              gh/XilunWu/173/head         -> origin/gh/XilunWu/173/head
2025-11-03T16:15:02.2514945Z  * [new branch]              gh/XilunWu/173/orig         -> origin/gh/XilunWu/173/orig
2025-11-03T16:15:02.2515259Z  * [new branch]              gh/XilunWu/175/base         -> origin/gh/XilunWu/175/base
2025-11-03T16:15:02.2515560Z  * [new branch]              gh/XilunWu/175/head         -> origin/gh/XilunWu/175/head
2025-11-03T16:15:02.2517796Z  * [new branch]              gh/XilunWu/175/orig         -> origin/gh/XilunWu/175/orig
2025-11-03T16:15:02.2518122Z  * [new branch]              gh/XilunWu/176/base         -> origin/gh/XilunWu/176/base
2025-11-03T16:15:02.2518524Z  * [new branch]              gh/XilunWu/176/head         -> origin/gh/XilunWu/176/head
2025-11-03T16:15:02.2518826Z  * [new branch]              gh/XilunWu/176/orig         -> origin/gh/XilunWu/176/orig
2025-11-03T16:15:02.2519121Z  * [new branch]              gh/XilunWu/177/base         -> origin/gh/XilunWu/177/base
2025-11-03T16:15:02.2519460Z  * [new branch]              gh/XilunWu/177/head         -> origin/gh/XilunWu/177/head
2025-11-03T16:15:02.2527661Z  * [new branch]              gh/XilunWu/177/orig         -> origin/gh/XilunWu/177/orig
2025-11-03T16:15:02.2529585Z  * [new branch]              gh/XuehaiPan/14/base        -> origin/gh/XuehaiPan/14/base
2025-11-03T16:15:02.2529936Z  * [new branch]              gh/XuehaiPan/14/head        -> origin/gh/XuehaiPan/14/head
2025-11-03T16:15:02.2530282Z  * [new branch]              gh/XuehaiPan/14/orig        -> origin/gh/XuehaiPan/14/orig
2025-11-03T16:15:02.2530658Z  * [new branch]              gh/XuehaiPan/179/base       -> origin/gh/XuehaiPan/179/base
2025-11-03T16:15:02.2530997Z  * [new branch]              gh/XuehaiPan/179/head       -> origin/gh/XuehaiPan/179/head
2025-11-03T16:15:02.2531302Z  * [new branch]              gh/XuehaiPan/179/orig       -> origin/gh/XuehaiPan/179/orig
2025-11-03T16:15:02.2531615Z  * [new branch]              gh/XuehaiPan/189/base       -> origin/gh/XuehaiPan/189/base
2025-11-03T16:15:02.2531935Z  * [new branch]              gh/XuehaiPan/189/head       -> origin/gh/XuehaiPan/189/head
2025-11-03T16:15:02.2532261Z  * [new branch]              gh/XuehaiPan/189/orig       -> origin/gh/XuehaiPan/189/orig
2025-11-03T16:15:02.2532560Z  * [new branch]              gh/XuehaiPan/249/base       -> origin/gh/XuehaiPan/249/base
2025-11-03T16:15:02.2532876Z  * [new branch]              gh/XuehaiPan/249/head       -> origin/gh/XuehaiPan/249/head
2025-11-03T16:15:02.2533184Z  * [new branch]              gh/XuehaiPan/249/orig       -> origin/gh/XuehaiPan/249/orig
2025-11-03T16:15:02.2533496Z  * [new branch]              gh/XuehaiPan/253/base       -> origin/gh/XuehaiPan/253/base
2025-11-03T16:15:02.2533961Z  * [new branch]              gh/XuehaiPan/253/head       -> origin/gh/XuehaiPan/253/head
2025-11-03T16:15:02.2534261Z  * [new branch]              gh/XuehaiPan/253/orig       -> origin/gh/XuehaiPan/253/orig
2025-11-03T16:15:02.2534593Z  * [new branch]              gh/XuehaiPan/254/base       -> origin/gh/XuehaiPan/254/base
2025-11-03T16:15:02.2534927Z  * [new branch]              gh/XuehaiPan/254/head       -> origin/gh/XuehaiPan/254/head
2025-11-03T16:15:02.2535390Z  * [new branch]              gh/XuehaiPan/254/orig       -> origin/gh/XuehaiPan/254/orig
2025-11-03T16:15:02.2535831Z  * [new branch]              gh/XuehaiPan/255/base       -> origin/gh/XuehaiPan/255/base
2025-11-03T16:15:02.2536304Z  * [new branch]              gh/XuehaiPan/255/head       -> origin/gh/XuehaiPan/255/head
2025-11-03T16:15:02.2536626Z  * [new branch]              gh/XuehaiPan/255/orig       -> origin/gh/XuehaiPan/255/orig
2025-11-03T16:15:02.2536956Z  * [new branch]              gh/XuehaiPan/257/base       -> origin/gh/XuehaiPan/257/base
2025-11-03T16:15:02.2537744Z  * [new branch]              gh/XuehaiPan/257/head       -> origin/gh/XuehaiPan/257/head
2025-11-03T16:15:02.2538073Z  * [new branch]              gh/XuehaiPan/257/orig       -> origin/gh/XuehaiPan/257/orig
2025-11-03T16:15:02.2538397Z  * [new branch]              gh/XuehaiPan/271/base       -> origin/gh/XuehaiPan/271/base
2025-11-03T16:15:02.2538722Z  * [new branch]              gh/XuehaiPan/271/head       -> origin/gh/XuehaiPan/271/head
2025-11-03T16:15:02.2539038Z  * [new branch]              gh/XuehaiPan/271/orig       -> origin/gh/XuehaiPan/271/orig
2025-11-03T16:15:02.2539363Z  * [new branch]              gh/XuehaiPan/290/base       -> origin/gh/XuehaiPan/290/base
2025-11-03T16:15:02.2539743Z  * [new branch]              gh/XuehaiPan/290/head       -> origin/gh/XuehaiPan/290/head
2025-11-03T16:15:02.2544082Z  * [new branch]              gh/XuehaiPan/290/orig       -> origin/gh/XuehaiPan/290/orig
2025-11-03T16:15:02.2544491Z  * [new branch]              gh/XuehaiPan/343/base       -> origin/gh/XuehaiPan/343/base
2025-11-03T16:15:02.2544820Z  * [new branch]              gh/XuehaiPan/343/head       -> origin/gh/XuehaiPan/343/head
2025-11-03T16:15:02.2545144Z  * [new branch]              gh/XuehaiPan/343/orig       -> origin/gh/XuehaiPan/343/orig
2025-11-03T16:15:02.2545466Z  * [new branch]              gh/XuehaiPan/347/base       -> origin/gh/XuehaiPan/347/base
2025-11-03T16:15:02.2545793Z  * [new branch]              gh/XuehaiPan/347/head       -> origin/gh/XuehaiPan/347/head
2025-11-03T16:15:02.2546114Z  * [new branch]              gh/XuehaiPan/347/orig       -> origin/gh/XuehaiPan/347/orig
2025-11-03T16:15:02.2546468Z  * [new branch]              gh/XuehaiPan/348/base       -> origin/gh/XuehaiPan/348/base
2025-11-03T16:15:02.2546796Z  * [new branch]              gh/XuehaiPan/348/head       -> origin/gh/XuehaiPan/348/head
2025-11-03T16:15:02.2547127Z  * [new branch]              gh/XuehaiPan/348/orig       -> origin/gh/XuehaiPan/348/orig
2025-11-03T16:15:02.2547458Z  * [new branch]              gh/XuehaiPan/350/base       -> origin/gh/XuehaiPan/350/base
2025-11-03T16:15:02.2547767Z  * [new branch]              gh/XuehaiPan/350/head       -> origin/gh/XuehaiPan/350/head
2025-11-03T16:15:02.2548110Z  * [new branch]              gh/XuehaiPan/350/orig       -> origin/gh/XuehaiPan/350/orig
2025-11-03T16:15:02.2553768Z  * [new branch]              gh/XuehaiPan/356/base       -> origin/gh/XuehaiPan/356/base
2025-11-03T16:15:02.2554166Z  * [new branch]              gh/XuehaiPan/356/head       -> origin/gh/XuehaiPan/356/head
2025-11-03T16:15:02.2554496Z  * [new branch]              gh/XuehaiPan/356/orig       -> origin/gh/XuehaiPan/356/orig
2025-11-03T16:15:02.2554833Z  * [new branch]              gh/XuehaiPan/357/base       -> origin/gh/XuehaiPan/357/base
2025-11-03T16:15:02.2555153Z  * [new branch]              gh/XuehaiPan/357/head       -> origin/gh/XuehaiPan/357/head
2025-11-03T16:15:02.2555639Z  * [new branch]              gh/XuehaiPan/357/orig       -> origin/gh/XuehaiPan/357/orig
2025-11-03T16:15:02.2555964Z  * [new branch]              gh/XuehaiPan/358/base       -> origin/gh/XuehaiPan/358/base
2025-11-03T16:15:02.2556287Z  * [new branch]              gh/XuehaiPan/358/head       -> origin/gh/XuehaiPan/358/head
2025-11-03T16:15:02.2556602Z  * [new branch]              gh/XuehaiPan/358/orig       -> origin/gh/XuehaiPan/358/orig
2025-11-03T16:15:02.2556919Z  * [new branch]              gh/XuehaiPan/359/base       -> origin/gh/XuehaiPan/359/base
2025-11-03T16:15:02.2557237Z  * [new branch]              gh/XuehaiPan/359/head       -> origin/gh/XuehaiPan/359/head
2025-11-03T16:15:02.2557553Z  * [new branch]              gh/XuehaiPan/359/orig       -> origin/gh/XuehaiPan/359/orig
2025-11-03T16:15:02.2557874Z  * [new branch]              gh/XuehaiPan/360/base       -> origin/gh/XuehaiPan/360/base
2025-11-03T16:15:02.2558329Z  * [new branch]              gh/XuehaiPan/360/head       -> origin/gh/XuehaiPan/360/head
2025-11-03T16:15:02.2558741Z  * [new branch]              gh/XuehaiPan/360/orig       -> origin/gh/XuehaiPan/360/orig
2025-11-03T16:15:02.2559126Z  * [new branch]              gh/XuehaiPan/365/base       -> origin/gh/XuehaiPan/365/base
2025-11-03T16:15:02.2559503Z  * [new branch]              gh/XuehaiPan/365/head       -> origin/gh/XuehaiPan/365/head
2025-11-03T16:15:02.2559877Z  * [new branch]              gh/XuehaiPan/365/orig       -> origin/gh/XuehaiPan/365/orig
2025-11-03T16:15:02.2560765Z  * [new branch]              gh/XuehaiPan/366/base       -> origin/gh/XuehaiPan/366/base
2025-11-03T16:15:02.2561302Z  * [new branch]              gh/XuehaiPan/366/head       -> origin/gh/XuehaiPan/366/head
2025-11-03T16:15:02.2562526Z  * [new branch]              gh/XuehaiPan/370/base       -> origin/gh/XuehaiPan/370/base
2025-11-03T16:15:02.2562891Z  * [new branch]              gh/XuehaiPan/370/head       -> origin/gh/XuehaiPan/370/head
2025-11-03T16:15:02.2563435Z  * [new branch]              gh/XuehaiPan/370/orig       -> origin/gh/XuehaiPan/370/orig
2025-11-03T16:15:02.2564671Z  * [new branch]              gh/XuehaiPan/384/base       -> origin/gh/XuehaiPan/384/base
2025-11-03T16:15:02.2565206Z  * [new branch]              gh/XuehaiPan/384/head       -> origin/gh/XuehaiPan/384/head
2025-11-03T16:15:02.2565909Z  * [new branch]              gh/XuehaiPan/384/orig       -> origin/gh/XuehaiPan/384/orig
2025-11-03T16:15:02.2566671Z  * [new branch]              gh/XuehaiPan/390/base       -> origin/gh/XuehaiPan/390/base
2025-11-03T16:15:02.2567371Z  * [new branch]              gh/XuehaiPan/390/head       -> origin/gh/XuehaiPan/390/head
2025-11-03T16:15:02.2568427Z  * [new branch]              gh/XuehaiPan/390/orig       -> origin/gh/XuehaiPan/390/orig
2025-11-03T16:15:02.2569162Z  * [new branch]              gh/XuehaiPan/391/base       -> origin/gh/XuehaiPan/391/base
2025-11-03T16:15:02.2569765Z  * [new branch]              gh/XuehaiPan/391/head       -> origin/gh/XuehaiPan/391/head
2025-11-03T16:15:02.2570514Z  * [new branch]              gh/XuehaiPan/391/orig       -> origin/gh/XuehaiPan/391/orig
2025-11-03T16:15:02.2571397Z  * [new branch]              gh/XuehaiPan/392/base       -> origin/gh/XuehaiPan/392/base
2025-11-03T16:15:02.2571888Z  * [new branch]              gh/XuehaiPan/392/head       -> origin/gh/XuehaiPan/392/head
2025-11-03T16:15:02.2572574Z  * [new branch]              gh/XuehaiPan/392/orig       -> origin/gh/XuehaiPan/392/orig
2025-11-03T16:15:02.2573771Z  * [new branch]              gh/XuehaiPan/393/base       -> origin/gh/XuehaiPan/393/base
2025-11-03T16:15:02.2574283Z  * [new branch]              gh/XuehaiPan/393/head       -> origin/gh/XuehaiPan/393/head
2025-11-03T16:15:02.2574888Z  * [new branch]              gh/XuehaiPan/393/orig       -> origin/gh/XuehaiPan/393/orig
2025-11-03T16:15:02.2576477Z  * [new branch]              gh/XuehaiPan/394/base       -> origin/gh/XuehaiPan/394/base
2025-11-03T16:15:02.2576804Z  * [new branch]              gh/XuehaiPan/394/head       -> origin/gh/XuehaiPan/394/head
2025-11-03T16:15:02.2577233Z  * [new branch]              gh/XuehaiPan/394/orig       -> origin/gh/XuehaiPan/394/orig
2025-11-03T16:15:02.2577939Z  * [new branch]              gh/XuehaiPan/395/base       -> origin/gh/XuehaiPan/395/base
2025-11-03T16:15:02.2578658Z  * [new branch]              gh/XuehaiPan/395/head       -> origin/gh/XuehaiPan/395/head
2025-11-03T16:15:02.2579247Z  * [new branch]              gh/XuehaiPan/395/orig       -> origin/gh/XuehaiPan/395/orig
2025-11-03T16:15:02.2580302Z  * [new branch]              gh/XuehaiPan/396/base       -> origin/gh/XuehaiPan/396/base
2025-11-03T16:15:02.2580637Z  * [new branch]              gh/XuehaiPan/396/orig       -> origin/gh/XuehaiPan/396/orig
2025-11-03T16:15:02.2582142Z  * [new branch]              gh/ZhiweiYan-96/39/base     -> origin/gh/ZhiweiYan-96/39/base
2025-11-03T16:15:02.2582494Z  * [new branch]              gh/ZhiweiYan-96/39/head     -> origin/gh/ZhiweiYan-96/39/head
2025-11-03T16:15:02.2583569Z  * [new branch]              gh/ZhiweiYan-96/39/orig     -> origin/gh/ZhiweiYan-96/39/orig
2025-11-03T16:15:02.2584233Z  * [new branch]              gh/ZhiweiYan-96/44/base     -> origin/gh/ZhiweiYan-96/44/base
2025-11-03T16:15:02.2584851Z  * [new branch]              gh/ZhiweiYan-96/44/head     -> origin/gh/ZhiweiYan-96/44/head
2025-11-03T16:15:02.2585895Z  * [new branch]              gh/ZhiweiYan-96/45/base     -> origin/gh/ZhiweiYan-96/45/base
2025-11-03T16:15:02.2586230Z  * [new branch]              gh/ZhiweiYan-96/45/head     -> origin/gh/ZhiweiYan-96/45/head
2025-11-03T16:15:02.2587391Z  * [new branch]              gh/ZhiweiYan-96/49/base     -> origin/gh/ZhiweiYan-96/49/base
2025-11-03T16:15:02.2587732Z  * [new branch]              gh/ZhiweiYan-96/49/head     -> origin/gh/ZhiweiYan-96/49/head
2025-11-03T16:15:02.2588905Z  * [new branch]              gh/ZhiweiYan-96/62/base     -> origin/gh/ZhiweiYan-96/62/base
2025-11-03T16:15:02.2589240Z  * [new branch]              gh/ZhiweiYan-96/62/head     -> origin/gh/ZhiweiYan-96/62/head
2025-11-03T16:15:02.2590472Z  * [new branch]              gh/ZhiweiYan-96/66/base     -> origin/gh/ZhiweiYan-96/66/base
2025-11-03T16:15:02.2590995Z  * [new branch]              gh/ZhiweiYan-96/66/head     -> origin/gh/ZhiweiYan-96/66/head
2025-11-03T16:15:02.2591773Z  * [new branch]              gh/ZhiweiYan-96/67/base     -> origin/gh/ZhiweiYan-96/67/base
2025-11-03T16:15:02.2592386Z  * [new branch]              gh/ZhiweiYan-96/67/head     -> origin/gh/ZhiweiYan-96/67/head
2025-11-03T16:15:02.2593145Z  * [new branch]              gh/ZhiweiYan-96/68/base     -> origin/gh/ZhiweiYan-96/68/base
2025-11-03T16:15:02.2593735Z  * [new branch]              gh/ZhiweiYan-96/68/head     -> origin/gh/ZhiweiYan-96/68/head
2025-11-03T16:15:02.2594403Z  * [new branch]              gh/ZhiweiYan-96/68/orig     -> origin/gh/ZhiweiYan-96/68/orig
2025-11-03T16:15:02.2595721Z  * [new branch]              gh/aakhundov/1/base         -> origin/gh/aakhundov/1/base
2025-11-03T16:15:02.2596194Z  * [new branch]              gh/aakhundov/1/head         -> origin/gh/aakhundov/1/head
2025-11-03T16:15:02.2597220Z  * [new branch]              gh/aakhundov/2/base         -> origin/gh/aakhundov/2/base
2025-11-03T16:15:02.2597897Z  * [new branch]              gh/aakhundov/2/head         -> origin/gh/aakhundov/2/head
2025-11-03T16:15:02.2599187Z  * [new branch]              gh/aakhundov/3/base         -> origin/gh/aakhundov/3/base
2025-11-03T16:15:02.2599725Z  * [new branch]              gh/aakhundov/3/head         -> origin/gh/aakhundov/3/head
2025-11-03T16:15:02.2600391Z  * [new branch]              gh/aakhundov/3/orig         -> origin/gh/aakhundov/3/orig
2025-11-03T16:15:02.2601526Z  * [new branch]              gh/aditew01/openblas        -> origin/gh/aditew01/openblas
2025-11-03T16:15:02.2601907Z  * [new branch]              gh/aditew01/sbgemm          -> origin/gh/aditew01/sbgemm
2025-11-03T16:15:02.2602641Z  * [new branch]              gh/aditew01/vecbf16         -> origin/gh/aditew01/vecbf16
2025-11-03T16:15:02.2603905Z  * [new branch]              gh/albanD/1/base            -> origin/gh/albanD/1/base
2025-11-03T16:15:02.2604384Z  * [new branch]              gh/albanD/1/head            -> origin/gh/albanD/1/head
2025-11-03T16:15:02.2604972Z  * [new branch]              gh/albanD/1/orig            -> origin/gh/albanD/1/orig
2025-11-03T16:15:02.2606102Z  * [new branch]              gh/albanD/2/base            -> origin/gh/albanD/2/base
2025-11-03T16:15:02.2606613Z  * [new branch]              gh/albanD/2/head            -> origin/gh/albanD/2/head
2025-11-03T16:15:02.2607250Z  * [new branch]              gh/albanD/2/orig            -> origin/gh/albanD/2/orig
2025-11-03T16:15:02.2608344Z  * [new branch]              gh/albanD/3/base            -> origin/gh/albanD/3/base
2025-11-03T16:15:02.2608688Z  * [new branch]              gh/albanD/3/head            -> origin/gh/albanD/3/head
2025-11-03T16:15:02.2609772Z  * [new branch]              gh/albanD/3/orig            -> origin/gh/albanD/3/orig
2025-11-03T16:15:02.2610356Z  * [new branch]              gh/albanD/4/base            -> origin/gh/albanD/4/base
2025-11-03T16:15:02.2611009Z  * [new branch]              gh/albanD/4/head            -> origin/gh/albanD/4/head
2025-11-03T16:15:02.2611611Z  * [new branch]              gh/albanD/4/orig            -> origin/gh/albanD/4/orig
2025-11-03T16:15:02.2612980Z  * [new branch]              gh/alexbrauckmann/paddedtensor_faketensor_init -> origin/gh/alexbrauckmann/paddedtensor_faketensor_init
2025-11-03T16:15:02.2613695Z  * [new branch]              gh/alexsamardzic/11/base    -> origin/gh/alexsamardzic/11/base
2025-11-03T16:15:02.2614330Z  * [new branch]              gh/alexsamardzic/11/head    -> origin/gh/alexsamardzic/11/head
2025-11-03T16:15:02.2614976Z  * [new branch]              gh/alexsamardzic/11/orig    -> origin/gh/alexsamardzic/11/orig
2025-11-03T16:15:02.2616310Z  * [new branch]              gh/alexsamardzic/12/base    -> origin/gh/alexsamardzic/12/base
2025-11-03T16:15:02.2616655Z  * [new branch]              gh/alexsamardzic/12/head    -> origin/gh/alexsamardzic/12/head
2025-11-03T16:15:02.2617133Z  * [new branch]              gh/alexsamardzic/12/orig    -> origin/gh/alexsamardzic/12/orig
2025-11-03T16:15:02.2618362Z  * [new branch]              gh/alexsamardzic/13/base    -> origin/gh/alexsamardzic/13/base
2025-11-03T16:15:02.2619193Z  * [new branch]              gh/alexsamardzic/13/head    -> origin/gh/alexsamardzic/13/head
2025-11-03T16:15:02.2619586Z  * [new branch]              gh/alexsamardzic/13/orig    -> origin/gh/alexsamardzic/13/orig
2025-11-03T16:15:02.2620288Z  * [new branch]              gh/alexsamardzic/14/base    -> origin/gh/alexsamardzic/14/base
2025-11-03T16:15:02.2620828Z  * [new branch]              gh/alexsamardzic/14/head    -> origin/gh/alexsamardzic/14/head
2025-11-03T16:15:02.2621540Z  * [new branch]              gh/alexsamardzic/14/orig    -> origin/gh/alexsamardzic/14/orig
2025-11-03T16:15:02.2622849Z  * [new branch]              gh/amjames/18/base          -> origin/gh/amjames/18/base
2025-11-03T16:15:02.2623693Z  * [new branch]              gh/amjames/18/head          -> origin/gh/amjames/18/head
2025-11-03T16:15:02.2624133Z  * [new branch]              gh/amjames/18/orig          -> origin/gh/amjames/18/orig
2025-11-03T16:15:02.2625428Z  * [new branch]              gh/andrewor14/35/base       -> origin/gh/andrewor14/35/base
2025-11-03T16:15:02.2628692Z  * [new branch]              gh/andrewor14/35/head       -> origin/gh/andrewor14/35/head
2025-11-03T16:15:02.2629083Z  * [new branch]              gh/andrewor14/35/orig       -> origin/gh/andrewor14/35/orig
2025-11-03T16:15:02.2629428Z  * [new branch]              gh/andrewor14/50/base       -> origin/gh/andrewor14/50/base
2025-11-03T16:15:02.2629758Z  * [new branch]              gh/andrewor14/50/head       -> origin/gh/andrewor14/50/head
2025-11-03T16:15:02.2630113Z  * [new branch]              gh/andrewor14/50/orig       -> origin/gh/andrewor14/50/orig
2025-11-03T16:15:02.2630732Z  * [new branch]              gh/andyanwang/30/base       -> origin/gh/andyanwang/30/base
2025-11-03T16:15:02.2631557Z  * [new branch]              gh/andyanwang/30/orig       -> origin/gh/andyanwang/30/orig
2025-11-03T16:15:02.2632522Z  * [new branch]              gh/andyanwang/31/base       -> origin/gh/andyanwang/31/base
2025-11-03T16:15:02.2634600Z  * [new branch]              gh/andyanwang/31/orig       -> origin/gh/andyanwang/31/orig
2025-11-03T16:15:02.2635027Z  * [new branch]              gh/andyanwang/32/base       -> origin/gh/andyanwang/32/base
2025-11-03T16:15:02.2635449Z  * [new branch]              gh/andyanwang/32/head       -> origin/gh/andyanwang/32/head
2025-11-03T16:15:02.2636200Z  * [new branch]              gh/andyanwang/32/orig       -> origin/gh/andyanwang/32/orig
2025-11-03T16:15:02.2637361Z  * [new branch]              gh/andyanwang/39/base       -> origin/gh/andyanwang/39/base
2025-11-03T16:15:02.2638013Z  * [new branch]              gh/andyanwang/39/head       -> origin/gh/andyanwang/39/head
2025-11-03T16:15:02.2638811Z  * [new branch]              gh/andyanwang/39/orig       -> origin/gh/andyanwang/39/orig
2025-11-03T16:15:02.2640646Z  * [new branch]              gh/andyanwang/40/base       -> origin/gh/andyanwang/40/base
2025-11-03T16:15:02.2641048Z  * [new branch]              gh/andyanwang/40/head       -> origin/gh/andyanwang/40/head
2025-11-03T16:15:02.2641431Z  * [new branch]              gh/andyanwang/40/orig       -> origin/gh/andyanwang/40/orig
2025-11-03T16:15:02.2642886Z  * [new branch]              gh/andyanwang/41/base       -> origin/gh/andyanwang/41/base
2025-11-03T16:15:02.2643312Z  * [new branch]              gh/andyanwang/41/head       -> origin/gh/andyanwang/41/head
2025-11-03T16:15:02.2644041Z  * [new branch]              gh/andyanwang/41/orig       -> origin/gh/andyanwang/41/orig
2025-11-03T16:15:02.2645165Z  * [new branch]              gh/andyanwang/42/base       -> origin/gh/andyanwang/42/base
2025-11-03T16:15:02.2645519Z  * [new branch]              gh/andyanwang/42/head       -> origin/gh/andyanwang/42/head
2025-11-03T16:15:02.2646327Z  * [new branch]              gh/andyanwang/42/orig       -> origin/gh/andyanwang/42/orig
2025-11-03T16:15:02.2647863Z  * [new branch]              gh/andyanwang/43/base       -> origin/gh/andyanwang/43/base
2025-11-03T16:15:02.2648197Z  * [new branch]              gh/andyanwang/43/head       -> origin/gh/andyanwang/43/head
2025-11-03T16:15:02.2648547Z  * [new branch]              gh/andyanwang/43/orig       -> origin/gh/andyanwang/43/orig
2025-11-03T16:15:02.2650014Z  * [new branch]              gh/andyanwang/44/base       -> origin/gh/andyanwang/44/base
2025-11-03T16:15:02.2650356Z  * [new branch]              gh/andyanwang/44/head       -> origin/gh/andyanwang/44/head
2025-11-03T16:15:02.2650849Z  * [new branch]              gh/andyanwang/44/orig       -> origin/gh/andyanwang/44/orig
2025-11-03T16:15:02.2652267Z  * [new branch]              gh/angelayi/107/base        -> origin/gh/angelayi/107/base
2025-11-03T16:15:02.2652762Z  * [new branch]              gh/angelayi/107/head        -> origin/gh/angelayi/107/head
2025-11-03T16:15:02.2653875Z  * [new branch]              gh/angelayi/114/base        -> origin/gh/angelayi/114/base
2025-11-03T16:15:02.2654349Z  * [new branch]              gh/angelayi/114/head        -> origin/gh/angelayi/114/head
2025-11-03T16:15:02.2655014Z  * [new branch]              gh/angelayi/114/orig        -> origin/gh/angelayi/114/orig
2025-11-03T16:15:02.2656252Z  * [new branch]              gh/angelayi/116/base        -> origin/gh/angelayi/116/base
2025-11-03T16:15:02.2656584Z  * [new branch]              gh/angelayi/116/head        -> origin/gh/angelayi/116/head
2025-11-03T16:15:02.2657193Z  * [new branch]              gh/angelayi/116/orig        -> origin/gh/angelayi/116/orig
2025-11-03T16:15:02.2658378Z  * [new branch]              gh/angelayi/119/base        -> origin/gh/angelayi/119/base
2025-11-03T16:15:02.2658823Z  * [new branch]              gh/angelayi/119/head        -> origin/gh/angelayi/119/head
2025-11-03T16:15:02.2660012Z  * [new branch]              gh/angelayi/119/orig        -> origin/gh/angelayi/119/orig
2025-11-03T16:15:02.2660548Z  * [new branch]              gh/angelayi/120/base        -> origin/gh/angelayi/120/base
2025-11-03T16:15:02.2661199Z  * [new branch]              gh/angelayi/120/head        -> origin/gh/angelayi/120/head
2025-11-03T16:15:02.2662038Z  * [new branch]              gh/angelayi/120/orig        -> origin/gh/angelayi/120/orig
2025-11-03T16:15:02.2663226Z  * [new branch]              gh/angelayi/121/base        -> origin/gh/angelayi/121/base
2025-11-03T16:15:02.2663878Z  * [new branch]              gh/angelayi/121/head        -> origin/gh/angelayi/121/head
2025-11-03T16:15:02.2664552Z  * [new branch]              gh/angelayi/121/orig        -> origin/gh/angelayi/121/orig
2025-11-03T16:15:02.2665200Z  * [new branch]              gh/angelayi/122/base        -> origin/gh/angelayi/122/base
2025-11-03T16:15:02.2665917Z  * [new branch]              gh/angelayi/122/head        -> origin/gh/angelayi/122/head
2025-11-03T16:15:02.2666635Z  * [new branch]              gh/angelayi/122/orig        -> origin/gh/angelayi/122/orig
2025-11-03T16:15:02.2668078Z  * [new branch]              gh/angelayi/124/base        -> origin/gh/angelayi/124/base
2025-11-03T16:15:02.2668422Z  * [new branch]              gh/angelayi/124/head        -> origin/gh/angelayi/124/head
2025-11-03T16:15:02.2669170Z  * [new branch]              gh/angelayi/124/orig        -> origin/gh/angelayi/124/orig
2025-11-03T16:15:02.2670557Z  * [new branch]              gh/angelayi/127/base        -> origin/gh/angelayi/127/base
2025-11-03T16:15:02.2670905Z  * [new branch]              gh/angelayi/127/head        -> origin/gh/angelayi/127/head
2025-11-03T16:15:02.2672117Z  * [new branch]              gh/angelayi/127/orig        -> origin/gh/angelayi/127/orig
2025-11-03T16:15:02.2672575Z  * [new branch]              gh/angelayi/128/base        -> origin/gh/angelayi/128/base
2025-11-03T16:15:02.2673186Z  * [new branch]              gh/angelayi/128/head        -> origin/gh/angelayi/128/head
2025-11-03T16:15:02.2673830Z  * [new branch]              gh/angelayi/128/orig        -> origin/gh/angelayi/128/orig
2025-11-03T16:15:02.2675189Z  * [new branch]              gh/angelayi/129/base        -> origin/gh/angelayi/129/base
2025-11-03T16:15:02.2675678Z  * [new branch]              gh/angelayi/129/head        -> origin/gh/angelayi/129/head
2025-11-03T16:15:02.2676377Z  * [new branch]              gh/angelayi/129/orig        -> origin/gh/angelayi/129/orig
2025-11-03T16:15:02.2677486Z  * [new branch]              gh/angelayi/130/base        -> origin/gh/angelayi/130/base
2025-11-03T16:15:02.2677824Z  * [new branch]              gh/angelayi/130/head        -> origin/gh/angelayi/130/head
2025-11-03T16:15:02.2678557Z  * [new branch]              gh/angelayi/130/orig        -> origin/gh/angelayi/130/orig
2025-11-03T16:15:02.2679975Z  * [new branch]              gh/anijain2305/753/base     -> origin/gh/anijain2305/753/base
2025-11-03T16:15:02.2683405Z  * [new branch]              gh/anijain2305/753/head     -> origin/gh/anijain2305/753/head
2025-11-03T16:15:02.2683762Z  * [new branch]              gh/anijain2305/753/orig     -> origin/gh/anijain2305/753/orig
2025-11-03T16:15:02.2684107Z  * [new branch]              gh/anijain2305/792/base     -> origin/gh/anijain2305/792/base
2025-11-03T16:15:02.2684450Z  * [new branch]              gh/anijain2305/792/head     -> origin/gh/anijain2305/792/head
2025-11-03T16:15:02.2684801Z  * [new branch]              gh/anijain2305/792/orig     -> origin/gh/anijain2305/792/orig
2025-11-03T16:15:02.2686992Z  * [new branch]              gh/anijain2305/805/base     -> origin/gh/anijain2305/805/base
2025-11-03T16:15:02.2687804Z  * [new branch]              gh/anijain2305/805/head     -> origin/gh/anijain2305/805/head
2025-11-03T16:15:02.2688304Z  * [new branch]              gh/anijain2305/805/orig     -> origin/gh/anijain2305/805/orig
2025-11-03T16:15:02.2688707Z  * [new branch]              gh/anijain2305/810/base     -> origin/gh/anijain2305/810/base
2025-11-03T16:15:02.2689101Z  * [new branch]              gh/anijain2305/810/head     -> origin/gh/anijain2305/810/head
2025-11-03T16:15:02.2689716Z  * [new branch]              gh/anijain2305/810/orig     -> origin/gh/anijain2305/810/orig
2025-11-03T16:15:02.2690212Z  * [new branch]              gh/anijain2305/812/base     -> origin/gh/anijain2305/812/base
2025-11-03T16:15:02.2690610Z  * [new branch]              gh/anijain2305/812/head     -> origin/gh/anijain2305/812/head
2025-11-03T16:15:02.2691004Z  * [new branch]              gh/anijain2305/812/orig     -> origin/gh/anijain2305/812/orig
2025-11-03T16:15:02.2691661Z  * [new branch]              gh/anijain2305/854/base     -> origin/gh/anijain2305/854/base
2025-11-03T16:15:02.2692397Z  * [new branch]              gh/anijain2305/854/head     -> origin/gh/anijain2305/854/head
2025-11-03T16:15:02.2693105Z  * [new branch]              gh/anijain2305/854/orig     -> origin/gh/anijain2305/854/orig
2025-11-03T16:15:02.2694342Z  * [new branch]              gh/anijain2305/864/base     -> origin/gh/anijain2305/864/base
2025-11-03T16:15:02.2694683Z  * [new branch]              gh/anijain2305/864/head     -> origin/gh/anijain2305/864/head
2025-11-03T16:15:02.2695275Z  * [new branch]              gh/anijain2305/864/orig     -> origin/gh/anijain2305/864/orig
2025-11-03T16:15:02.2696751Z  * [new branch]              gh/anijain2305/870/base     -> origin/gh/anijain2305/870/base
2025-11-03T16:15:02.2697087Z  * [new branch]              gh/anijain2305/870/head     -> origin/gh/anijain2305/870/head
2025-11-03T16:15:02.2697434Z  * [new branch]              gh/anijain2305/870/orig     -> origin/gh/anijain2305/870/orig
2025-11-03T16:15:02.2701493Z  * [new branch]              gh/anijain2305/873/base     -> origin/gh/anijain2305/873/base
2025-11-03T16:15:02.2702036Z  * [new branch]              gh/anijain2305/873/head     -> origin/gh/anijain2305/873/head
2025-11-03T16:15:02.2702375Z  * [new branch]              gh/anijain2305/873/orig     -> origin/gh/anijain2305/873/orig
2025-11-03T16:15:02.2702712Z  * [new branch]              gh/anijain2305/891/base     -> origin/gh/anijain2305/891/base
2025-11-03T16:15:02.2703044Z  * [new branch]              gh/anijain2305/891/head     -> origin/gh/anijain2305/891/head
2025-11-03T16:15:02.2703372Z  * [new branch]              gh/anijain2305/891/orig     -> origin/gh/anijain2305/891/orig
2025-11-03T16:15:02.2703704Z  * [new branch]              gh/anijain2305/894/base     -> origin/gh/anijain2305/894/base
2025-11-03T16:15:02.2704049Z  * [new branch]              gh/anijain2305/894/head     -> origin/gh/anijain2305/894/head
2025-11-03T16:15:02.2704372Z  * [new branch]              gh/anijain2305/894/orig     -> origin/gh/anijain2305/894/orig
2025-11-03T16:15:02.2705118Z  * [new branch]              gh/anijain2305/895/base     -> origin/gh/anijain2305/895/base
2025-11-03T16:15:02.2705626Z  * [new branch]              gh/anijain2305/895/head     -> origin/gh/anijain2305/895/head
2025-11-03T16:15:02.2706249Z  * [new branch]              gh/anijain2305/895/orig     -> origin/gh/anijain2305/895/orig
2025-11-03T16:15:02.2709814Z  * [new branch]              gh/anijain2305/896/base     -> origin/gh/anijain2305/896/base
2025-11-03T16:15:02.2710455Z  * [new branch]              gh/anijain2305/896/head     -> origin/gh/anijain2305/896/head
2025-11-03T16:15:02.2710866Z  * [new branch]              gh/anijain2305/896/orig     -> origin/gh/anijain2305/896/orig
2025-11-03T16:15:02.2711258Z  * [new branch]              gh/anijain2305/897/base     -> origin/gh/anijain2305/897/base
2025-11-03T16:15:02.2711646Z  * [new branch]              gh/anijain2305/897/head     -> origin/gh/anijain2305/897/head
2025-11-03T16:15:02.2711998Z  * [new branch]              gh/anijain2305/897/orig     -> origin/gh/anijain2305/897/orig
2025-11-03T16:15:02.2712688Z  * [new branch]              gh/anijain2305/898/base     -> origin/gh/anijain2305/898/base
2025-11-03T16:15:02.2713051Z  * [new branch]              gh/anijain2305/898/head     -> origin/gh/anijain2305/898/head
2025-11-03T16:15:02.2713772Z  * [new branch]              gh/anijain2305/898/orig     -> origin/gh/anijain2305/898/orig
2025-11-03T16:15:02.2714762Z  * [new branch]              gh/anijain2305/899/base     -> origin/gh/anijain2305/899/base
2025-11-03T16:15:02.2715480Z  * [new branch]              gh/anijain2305/899/head     -> origin/gh/anijain2305/899/head
2025-11-03T16:15:02.2716139Z  * [new branch]              gh/anijain2305/899/orig     -> origin/gh/anijain2305/899/orig
2025-11-03T16:15:02.2717809Z  * [new branch]              gh/anijain2305/900/base     -> origin/gh/anijain2305/900/base
2025-11-03T16:15:02.2718537Z  * [new branch]              gh/anijain2305/900/head     -> origin/gh/anijain2305/900/head
2025-11-03T16:15:02.2719216Z  * [new branch]              gh/anijain2305/900/orig     -> origin/gh/anijain2305/900/orig
2025-11-03T16:15:02.2722212Z  * [new branch]              gh/anijain2305/901/base     -> origin/gh/anijain2305/901/base
2025-11-03T16:15:02.2722655Z  * [new branch]              gh/anijain2305/901/head     -> origin/gh/anijain2305/901/head
2025-11-03T16:15:02.2722998Z  * [new branch]              gh/anijain2305/901/orig     -> origin/gh/anijain2305/901/orig
2025-11-03T16:15:02.2723349Z  * [new branch]              gh/anijain2305/902/base     -> origin/gh/anijain2305/902/base
2025-11-03T16:15:02.2723692Z  * [new branch]              gh/anijain2305/902/head     -> origin/gh/anijain2305/902/head
2025-11-03T16:15:02.2724018Z  * [new branch]              gh/anijain2305/902/orig     -> origin/gh/anijain2305/902/orig
2025-11-03T16:15:02.2726077Z  * [new branch]              gh/anijain2305/903/base     -> origin/gh/anijain2305/903/base
2025-11-03T16:15:02.2726435Z  * [new branch]              gh/anijain2305/903/head     -> origin/gh/anijain2305/903/head
2025-11-03T16:15:02.2726767Z  * [new branch]              gh/anijain2305/903/orig     -> origin/gh/anijain2305/903/orig
2025-11-03T16:15:02.2727235Z  * [new branch]              gh/anijain2305/904/base     -> origin/gh/anijain2305/904/base
2025-11-03T16:15:02.2728085Z  * [new branch]              gh/anijain2305/904/head     -> origin/gh/anijain2305/904/head
2025-11-03T16:15:02.2728507Z  * [new branch]              gh/anijain2305/904/orig     -> origin/gh/anijain2305/904/orig
2025-11-03T16:15:02.2729152Z  * [new branch]              gh/anijain2305/905/base     -> origin/gh/anijain2305/905/base
2025-11-03T16:15:02.2733592Z  * [new branch]              gh/anijain2305/905/head     -> origin/gh/anijain2305/905/head
2025-11-03T16:15:02.2733939Z  * [new branch]              gh/anijain2305/905/orig     -> origin/gh/anijain2305/905/orig
2025-11-03T16:15:02.2734283Z  * [new branch]              gh/anijain2305/906/base     -> origin/gh/anijain2305/906/base
2025-11-03T16:15:02.2734616Z  * [new branch]              gh/anijain2305/906/head     -> origin/gh/anijain2305/906/head
2025-11-03T16:15:02.2734972Z  * [new branch]              gh/anijain2305/906/orig     -> origin/gh/anijain2305/906/orig
2025-11-03T16:15:02.2735301Z  * [new branch]              gh/anijain2305/907/base     -> origin/gh/anijain2305/907/base
2025-11-03T16:15:02.2735646Z  * [new branch]              gh/anijain2305/907/head     -> origin/gh/anijain2305/907/head
2025-11-03T16:15:02.2735978Z  * [new branch]              gh/anijain2305/907/orig     -> origin/gh/anijain2305/907/orig
2025-11-03T16:15:02.2738216Z  * [new branch]              gh/anijain2305/908/base     -> origin/gh/anijain2305/908/base
2025-11-03T16:15:02.2738679Z  * [new branch]              gh/anijain2305/908/head     -> origin/gh/anijain2305/908/head
2025-11-03T16:15:02.2739149Z  * [new branch]              gh/anijain2305/908/orig     -> origin/gh/anijain2305/908/orig
2025-11-03T16:15:02.2739717Z  * [new branch]              gh/anijain2305/909/base     -> origin/gh/anijain2305/909/base
2025-11-03T16:15:02.2740553Z  * [new branch]              gh/anijain2305/909/head     -> origin/gh/anijain2305/909/head
2025-11-03T16:15:02.2741061Z  * [new branch]              gh/anijain2305/909/orig     -> origin/gh/anijain2305/909/orig
2025-11-03T16:15:02.2746065Z  * [new branch]              gh/anijain2305/910/base     -> origin/gh/anijain2305/910/base
2025-11-03T16:15:02.2746762Z  * [new branch]              gh/anijain2305/910/head     -> origin/gh/anijain2305/910/head
2025-11-03T16:15:02.2747177Z  * [new branch]              gh/anijain2305/910/orig     -> origin/gh/anijain2305/910/orig
2025-11-03T16:15:02.2747572Z  * [new branch]              gh/anijain2305/911/base     -> origin/gh/anijain2305/911/base
2025-11-03T16:15:02.2747969Z  * [new branch]              gh/anijain2305/911/head     -> origin/gh/anijain2305/911/head
2025-11-03T16:15:02.2748523Z  * [new branch]              gh/anijain2305/911/orig     -> origin/gh/anijain2305/911/orig
2025-11-03T16:15:02.2748869Z  * [new branch]              gh/anijain2305/912/base     -> origin/gh/anijain2305/912/base
2025-11-03T16:15:02.2749213Z  * [new branch]              gh/anijain2305/912/head     -> origin/gh/anijain2305/912/head
2025-11-03T16:15:02.2749540Z  * [new branch]              gh/anijain2305/912/orig     -> origin/gh/anijain2305/912/orig
2025-11-03T16:15:02.2749865Z  * [new branch]              gh/anijain2305/913/base     -> origin/gh/anijain2305/913/base
2025-11-03T16:15:02.2750187Z  * [new branch]              gh/anijain2305/913/head     -> origin/gh/anijain2305/913/head
2025-11-03T16:15:02.2750515Z  * [new branch]              gh/anijain2305/913/orig     -> origin/gh/anijain2305/913/orig
2025-11-03T16:15:02.2750840Z  * [new branch]              gh/anijain2305/914/base     -> origin/gh/anijain2305/914/base
2025-11-03T16:15:02.2752272Z  * [new branch]              gh/anijain2305/914/head     -> origin/gh/anijain2305/914/head
2025-11-03T16:15:02.2752619Z  * [new branch]              gh/anijain2305/914/orig     -> origin/gh/anijain2305/914/orig
2025-11-03T16:15:02.2752955Z  * [new branch]              gh/anijain2305/915/base     -> origin/gh/anijain2305/915/base
2025-11-03T16:15:02.2753350Z  * [new branch]              gh/anijain2305/915/head     -> origin/gh/anijain2305/915/head
2025-11-03T16:15:02.2753684Z  * [new branch]              gh/anijain2305/915/orig     -> origin/gh/anijain2305/915/orig
2025-11-03T16:15:02.2754026Z  * [new branch]              gh/anijain2305/916/base     -> origin/gh/anijain2305/916/base
2025-11-03T16:15:02.2754366Z  * [new branch]              gh/anijain2305/916/head     -> origin/gh/anijain2305/916/head
2025-11-03T16:15:02.2756430Z  * [new branch]              gh/anijain2305/916/orig     -> origin/gh/anijain2305/916/orig
2025-11-03T16:15:02.2756775Z  * [new branch]              gh/anijain2305/917/base     -> origin/gh/anijain2305/917/base
2025-11-03T16:15:02.2757115Z  * [new branch]              gh/anijain2305/917/head     -> origin/gh/anijain2305/917/head
2025-11-03T16:15:02.2757456Z  * [new branch]              gh/anijain2305/917/orig     -> origin/gh/anijain2305/917/orig
2025-11-03T16:15:02.2757797Z  * [new branch]              gh/anijain2305/918/base     -> origin/gh/anijain2305/918/base
2025-11-03T16:15:02.2758137Z  * [new branch]              gh/anijain2305/918/head     -> origin/gh/anijain2305/918/head
2025-11-03T16:15:02.2758627Z  * [new branch]              gh/anijain2305/918/orig     -> origin/gh/anijain2305/918/orig
2025-11-03T16:15:02.2761408Z  * [new branch]              gh/anijain2305/919/base     -> origin/gh/anijain2305/919/base
2025-11-03T16:15:02.2761756Z  * [new branch]              gh/anijain2305/919/head     -> origin/gh/anijain2305/919/head
2025-11-03T16:15:02.2762102Z  * [new branch]              gh/anijain2305/919/orig     -> origin/gh/anijain2305/919/orig
2025-11-03T16:15:02.2762436Z  * [new branch]              gh/anijain2305/920/base     -> origin/gh/anijain2305/920/base
2025-11-03T16:15:02.2762770Z  * [new branch]              gh/anijain2305/920/head     -> origin/gh/anijain2305/920/head
2025-11-03T16:15:02.2763117Z  * [new branch]              gh/anijain2305/920/orig     -> origin/gh/anijain2305/920/orig
2025-11-03T16:15:02.2766097Z  * [new branch]              gh/anijain2305/921/base     -> origin/gh/anijain2305/921/base
2025-11-03T16:15:02.2766567Z  * [new branch]              gh/anijain2305/921/head     -> origin/gh/anijain2305/921/head
2025-11-03T16:15:02.2767419Z  * [new branch]              gh/anijain2305/921/orig     -> origin/gh/anijain2305/921/orig
2025-11-03T16:15:02.2767754Z  * [new branch]              gh/anijain2305/922/base     -> origin/gh/anijain2305/922/base
2025-11-03T16:15:02.2768082Z  * [new branch]              gh/anijain2305/922/head     -> origin/gh/anijain2305/922/head
2025-11-03T16:15:02.2768412Z  * [new branch]              gh/anijain2305/922/orig     -> origin/gh/anijain2305/922/orig
2025-11-03T16:15:02.2768741Z  * [new branch]              gh/anijain2305/923/base     -> origin/gh/anijain2305/923/base
2025-11-03T16:15:02.2770844Z  * [new branch]              gh/anijain2305/923/head     -> origin/gh/anijain2305/923/head
2025-11-03T16:15:02.2775413Z  * [new branch]              gh/anijain2305/923/orig     -> origin/gh/anijain2305/923/orig
2025-11-03T16:15:02.2775748Z  * [new branch]              gh/anijain2305/924/base     -> origin/gh/anijain2305/924/base
2025-11-03T16:15:02.2776111Z  * [new branch]              gh/anijain2305/924/head     -> origin/gh/anijain2305/924/head
2025-11-03T16:15:02.2776444Z  * [new branch]              gh/anijain2305/924/orig     -> origin/gh/anijain2305/924/orig
2025-11-03T16:15:02.2781321Z  * [new branch]              gh/anijain2305/925/base     -> origin/gh/anijain2305/925/base
2025-11-03T16:15:02.2781942Z  * [new branch]              gh/anijain2305/925/head     -> origin/gh/anijain2305/925/head
2025-11-03T16:15:02.2782482Z  * [new branch]              gh/anijain2305/925/orig     -> origin/gh/anijain2305/925/orig
2025-11-03T16:15:02.2782903Z  * [new branch]              gh/anijain2305/926/base     -> origin/gh/anijain2305/926/base
2025-11-03T16:15:02.2783306Z  * [new branch]              gh/anijain2305/926/head     -> origin/gh/anijain2305/926/head
2025-11-03T16:15:02.2783932Z  * [new branch]              gh/anijain2305/926/orig     -> origin/gh/anijain2305/926/orig
2025-11-03T16:15:02.2784323Z  * [new branch]              gh/anijain2305/927/base     -> origin/gh/anijain2305/927/base
2025-11-03T16:15:02.2784863Z  * [new branch]              gh/anijain2305/927/head     -> origin/gh/anijain2305/927/head
2025-11-03T16:15:02.2785235Z  * [new branch]              gh/anijain2305/927/orig     -> origin/gh/anijain2305/927/orig
2025-11-03T16:15:02.2785574Z  * [new branch]              gh/anijain2305/928/base     -> origin/gh/anijain2305/928/base
2025-11-03T16:15:02.2785892Z  * [new branch]              gh/anijain2305/928/head     -> origin/gh/anijain2305/928/head
2025-11-03T16:15:02.2786217Z  * [new branch]              gh/anijain2305/928/orig     -> origin/gh/anijain2305/928/orig
2025-11-03T16:15:02.2786536Z  * [new branch]              gh/anijain2305/929/base     -> origin/gh/anijain2305/929/base
2025-11-03T16:15:02.2791178Z  * [new branch]              gh/anijain2305/929/head     -> origin/gh/anijain2305/929/head
2025-11-03T16:15:02.2791721Z  * [new branch]              gh/anijain2305/929/orig     -> origin/gh/anijain2305/929/orig
2025-11-03T16:15:02.2792196Z  * [new branch]              gh/anijain2305/930/base     -> origin/gh/anijain2305/930/base
2025-11-03T16:15:02.2792540Z  * [new branch]              gh/anijain2305/930/head     -> origin/gh/anijain2305/930/head
2025-11-03T16:15:02.2792883Z  * [new branch]              gh/anijain2305/930/orig     -> origin/gh/anijain2305/930/orig
2025-11-03T16:15:02.2793213Z  * [new branch]              gh/anijain2305/931/base     -> origin/gh/anijain2305/931/base
2025-11-03T16:15:02.2793543Z  * [new branch]              gh/anijain2305/931/head     -> origin/gh/anijain2305/931/head
2025-11-03T16:15:02.2793866Z  * [new branch]              gh/anijain2305/931/orig     -> origin/gh/anijain2305/931/orig
2025-11-03T16:15:02.2794181Z  * [new branch]              gh/anijain2305/932/base     -> origin/gh/anijain2305/932/base
2025-11-03T16:15:02.2794509Z  * [new branch]              gh/anijain2305/932/head     -> origin/gh/anijain2305/932/head
2025-11-03T16:15:02.2794835Z  * [new branch]              gh/anijain2305/932/orig     -> origin/gh/anijain2305/932/orig
2025-11-03T16:15:02.2795174Z  * [new branch]              gh/anijain2305/933/base     -> origin/gh/anijain2305/933/base
2025-11-03T16:15:02.2795315Z  * [new branch]              gh/anijain2305/933/head     -> origin/gh/anijain2305/933/head
2025-11-03T16:15:02.2795456Z  * [new branch]              gh/anijain2305/933/orig     -> origin/gh/anijain2305/933/orig
2025-11-03T16:15:02.2795596Z  * [new branch]              gh/anijain2305/934/base     -> origin/gh/anijain2305/934/base
2025-11-03T16:15:02.2795817Z  * [new branch]              gh/anijain2305/934/head     -> origin/gh/anijain2305/934/head
2025-11-03T16:15:02.2796752Z  * [new branch]              gh/anijain2305/934/orig     -> origin/gh/anijain2305/934/orig
2025-11-03T16:15:02.2800063Z  * [new branch]              gh/anijain2305/935/base     -> origin/gh/anijain2305/935/base
2025-11-03T16:15:02.2800380Z  * [new branch]              gh/anijain2305/935/head     -> origin/gh/anijain2305/935/head
2025-11-03T16:15:02.2800606Z  * [new branch]              gh/anijain2305/935/orig     -> origin/gh/anijain2305/935/orig
2025-11-03T16:15:02.2800763Z  * [new branch]              gh/anijain2305/936/base     -> origin/gh/anijain2305/936/base
2025-11-03T16:15:02.2800991Z  * [new branch]              gh/anijain2305/936/head     -> origin/gh/anijain2305/936/head
2025-11-03T16:15:02.2801140Z  * [new branch]              gh/anijain2305/936/orig     -> origin/gh/anijain2305/936/orig
2025-11-03T16:15:02.2805367Z  * [new branch]              gh/anijain2305/937/base     -> origin/gh/anijain2305/937/base
2025-11-03T16:15:02.2805687Z  * [new branch]              gh/anijain2305/937/head     -> origin/gh/anijain2305/937/head
2025-11-03T16:15:02.2805915Z  * [new branch]              gh/anijain2305/937/orig     -> origin/gh/anijain2305/937/orig
2025-11-03T16:15:02.2806203Z  * [new branch]              gh/anijain2305/938/base     -> origin/gh/anijain2305/938/base
2025-11-03T16:15:02.2806470Z  * [new branch]              gh/anijain2305/938/head     -> origin/gh/anijain2305/938/head
2025-11-03T16:15:02.2806706Z  * [new branch]              gh/anijain2305/938/orig     -> origin/gh/anijain2305/938/orig
2025-11-03T16:15:02.2807356Z  * [new branch]              gh/anijain2305/939/base     -> origin/gh/anijain2305/939/base
2025-11-03T16:15:02.2807561Z  * [new branch]              gh/anijain2305/939/head     -> origin/gh/anijain2305/939/head
2025-11-03T16:15:02.2808910Z  * [new branch]              gh/anijain2305/939/orig     -> origin/gh/anijain2305/939/orig
2025-11-03T16:15:02.2809215Z  * [new branch]              gh/anijain2305/940/base     -> origin/gh/anijain2305/940/base
2025-11-03T16:15:02.2811238Z  * [new branch]              gh/anijain2305/940/head     -> origin/gh/anijain2305/940/head
2025-11-03T16:15:02.2811413Z  * [new branch]              gh/anijain2305/940/orig     -> origin/gh/anijain2305/940/orig
2025-11-03T16:15:02.2811702Z  * [new branch]              gh/anjali411/216/base       -> origin/gh/anjali411/216/base
2025-11-03T16:15:02.2812690Z  * [new branch]              gh/anjali411/216/head       -> origin/gh/anjali411/216/head
2025-11-03T16:15:02.2812981Z  * [new branch]              gh/anjali411/216/orig       -> origin/gh/anjali411/216/orig
2025-11-03T16:15:02.2814509Z  * [new branch]              gh/ankitageorge/17/base     -> origin/gh/ankitageorge/17/base
2025-11-03T16:15:02.2814786Z  * [new branch]              gh/ankitageorge/17/head     -> origin/gh/ankitageorge/17/head
2025-11-03T16:15:02.2817217Z  * [new branch]              gh/ankitageorge/17/orig     -> origin/gh/ankitageorge/17/orig
2025-11-03T16:15:02.2817393Z  * [new branch]              gh/anshul-si/1/base         -> origin/gh/anshul-si/1/base
2025-11-03T16:15:02.2817526Z  * [new branch]              gh/anshul-si/1/head         -> origin/gh/anshul-si/1/head
2025-11-03T16:15:02.2818921Z  * [new branch]              gh/anshul-si/2/base         -> origin/gh/anshul-si/2/base
2025-11-03T16:15:02.2819056Z  * [new branch]              gh/anshul-si/2/head         -> origin/gh/anshul-si/2/head
2025-11-03T16:15:02.2819904Z  * [new branch]              gh/anshul-si/3/base         -> origin/gh/anshul-si/3/base
2025-11-03T16:15:02.2820323Z  * [new branch]              gh/anshul-si/3/head         -> origin/gh/anshul-si/3/head
2025-11-03T16:15:02.2821884Z  * [new branch]              gh/anshul-si/4/base         -> origin/gh/anshul-si/4/base
2025-11-03T16:15:02.2822193Z  * [new branch]              gh/anshul-si/4/head         -> origin/gh/anshul-si/4/head
2025-11-03T16:15:02.2822350Z  * [new branch]              gh/anshul-si/5/base         -> origin/gh/anshul-si/5/base
2025-11-03T16:15:02.2823593Z  * [new branch]              gh/anshul-si/5/head         -> origin/gh/anshul-si/5/head
2025-11-03T16:15:02.2823992Z  * [new branch]              gh/anshul-si/51/base        -> origin/gh/anshul-si/51/base
2025-11-03T16:15:02.2826498Z  * [new branch]              gh/anshul-si/51/head        -> origin/gh/anshul-si/51/head
2025-11-03T16:15:02.2826824Z  * [new branch]              gh/anshul-si/51/orig        -> origin/gh/anshul-si/51/orig
2025-11-03T16:15:02.2827052Z  * [new branch]              gh/anshul-si/52/base        -> origin/gh/anshul-si/52/base
2025-11-03T16:15:02.2827207Z  * [new branch]              gh/anshul-si/52/head        -> origin/gh/anshul-si/52/head
2025-11-03T16:15:02.2828302Z  * [new branch]              gh/anshul-si/52/orig        -> origin/gh/anshul-si/52/orig
2025-11-03T16:15:02.2828822Z  * [new branch]              gh/anshul-si/53/base        -> origin/gh/anshul-si/53/base
2025-11-03T16:15:02.2831802Z  * [new branch]              gh/anshul-si/53/head        -> origin/gh/anshul-si/53/head
2025-11-03T16:15:02.2832122Z  * [new branch]              gh/anshul-si/54/base        -> origin/gh/anshul-si/54/base
2025-11-03T16:15:02.2832270Z  * [new branch]              gh/anshul-si/54/head        -> origin/gh/anshul-si/54/head
2025-11-03T16:15:02.2832560Z  * [new branch]              gh/anshul-si/54/orig        -> origin/gh/anshul-si/54/orig
2025-11-03T16:15:02.2832813Z  * [new branch]              gh/anshul-si/55/base        -> origin/gh/anshul-si/55/base
2025-11-03T16:15:02.2833115Z  * [new branch]              gh/anshul-si/55/head        -> origin/gh/anshul-si/55/head
2025-11-03T16:15:02.2833683Z  * [new branch]              gh/anshul-si/55/orig        -> origin/gh/anshul-si/55/orig
2025-11-03T16:15:02.2838503Z  * [new branch]              gh/anshul-si/56/base        -> origin/gh/anshul-si/56/base
2025-11-03T16:15:02.2838680Z  * [new branch]              gh/anshul-si/56/head        -> origin/gh/anshul-si/56/head
2025-11-03T16:15:02.2838831Z  * [new branch]              gh/anshul-si/56/orig        -> origin/gh/anshul-si/56/orig
2025-11-03T16:15:02.2839159Z  * [new branch]              gh/anshul-si/57/base        -> origin/gh/anshul-si/57/base
2025-11-03T16:15:02.2839297Z  * [new branch]              gh/anshul-si/57/head        -> origin/gh/anshul-si/57/head
2025-11-03T16:15:02.2839439Z  * [new branch]              gh/anshul-si/57/orig        -> origin/gh/anshul-si/57/orig
2025-11-03T16:15:02.2839569Z  * [new branch]              gh/anshul-si/58/base        -> origin/gh/anshul-si/58/base
2025-11-03T16:15:02.2839733Z  * [new branch]              gh/anshul-si/58/head        -> origin/gh/anshul-si/58/head
2025-11-03T16:15:02.2844668Z  * [new branch]              gh/anshul-si/59/base        -> origin/gh/anshul-si/59/base
2025-11-03T16:15:02.2845001Z  * [new branch]              gh/anshul-si/59/head        -> origin/gh/anshul-si/59/head
2025-11-03T16:15:02.2845165Z  * [new branch]              gh/anshul-si/59/orig        -> origin/gh/anshul-si/59/orig
2025-11-03T16:15:02.2845314Z  * [new branch]              gh/anshul-si/60/base        -> origin/gh/anshul-si/60/base
2025-11-03T16:15:02.2845475Z  * [new branch]              gh/anshul-si/60/head        -> origin/gh/anshul-si/60/head
2025-11-03T16:15:02.2845705Z  * [new branch]              gh/anshul-si/60/orig        -> origin/gh/anshul-si/60/orig
2025-11-03T16:15:02.2845864Z  * [new branch]              gh/anshul-si/61/base        -> origin/gh/anshul-si/61/base
2025-11-03T16:15:02.2846539Z  * [new branch]              gh/anshul-si/61/head        -> origin/gh/anshul-si/61/head
2025-11-03T16:15:02.2846871Z  * [new branch]              gh/anshul-si/61/orig        -> origin/gh/anshul-si/61/orig
2025-11-03T16:15:02.2847390Z  * [new branch]              gh/anshul-si/62/base        -> origin/gh/anshul-si/62/base
2025-11-03T16:15:02.2848148Z  * [new branch]              gh/anshul-si/62/head        -> origin/gh/anshul-si/62/head
2025-11-03T16:15:02.2848626Z  * [new branch]              gh/anshul-si/62/orig        -> origin/gh/anshul-si/62/orig
2025-11-03T16:15:02.2850931Z  * [new branch]              gh/anshul-si/63/base        -> origin/gh/anshul-si/63/base
2025-11-03T16:15:02.2851110Z  * [new branch]              gh/anshul-si/63/head        -> origin/gh/anshul-si/63/head
2025-11-03T16:15:02.2851296Z  * [new branch]              gh/anshul-si/63/orig        -> origin/gh/anshul-si/63/orig
2025-11-03T16:15:02.2851709Z  * [new branch]              gh/anshul-si/64/base        -> origin/gh/anshul-si/64/base
2025-11-03T16:15:02.2853399Z  * [new branch]              gh/anshul-si/64/head        -> origin/gh/anshul-si/64/head
2025-11-03T16:15:02.2853596Z  * [new branch]              gh/anshul-si/64/orig        -> origin/gh/anshul-si/64/orig
2025-11-03T16:15:02.2854013Z  * [new branch]              gh/anshul-si/65/base        -> origin/gh/anshul-si/65/base
2025-11-03T16:15:02.2855719Z  * [new branch]              gh/anshul-si/65/head        -> origin/gh/anshul-si/65/head
2025-11-03T16:15:02.2856047Z  * [new branch]              gh/anshul-si/65/orig        -> origin/gh/anshul-si/65/orig
2025-11-03T16:15:02.2856452Z  * [new branch]              gh/aorenste/132/base        -> origin/gh/aorenste/132/base
2025-11-03T16:15:02.2857940Z  * [new branch]              gh/aorenste/132/head        -> origin/gh/aorenste/132/head
2025-11-03T16:15:02.2858389Z  * [new branch]              gh/aorenste/133/base        -> origin/gh/aorenste/133/base
2025-11-03T16:15:02.2858773Z  * [new branch]              gh/aorenste/133/head        -> origin/gh/aorenste/133/head
2025-11-03T16:15:02.2860896Z  * [new branch]              gh/aorenste/133/orig        -> origin/gh/aorenste/133/orig
2025-11-03T16:15:02.2861232Z  * [new branch]              gh/aorenste/134/base        -> origin/gh/aorenste/134/base
2025-11-03T16:15:02.2861391Z  * [new branch]              gh/aorenste/134/head        -> origin/gh/aorenste/134/head
2025-11-03T16:15:02.2862625Z  * [new branch]              gh/aorenste/134/orig        -> origin/gh/aorenste/134/orig
2025-11-03T16:15:02.2863039Z  * [new branch]              gh/aorenste/135/base        -> origin/gh/aorenste/135/base
2025-11-03T16:15:02.2865406Z  * [new branch]              gh/aorenste/135/head        -> origin/gh/aorenste/135/head
2025-11-03T16:15:02.2865742Z  * [new branch]              gh/aorenste/135/orig        -> origin/gh/aorenste/135/orig
2025-11-03T16:15:02.2866070Z  * [new branch]              gh/aorenste/136/base        -> origin/gh/aorenste/136/base
2025-11-03T16:15:02.2866505Z  * [new branch]              gh/aorenste/136/head        -> origin/gh/aorenste/136/head
2025-11-03T16:15:02.2866726Z  * [new branch]              gh/aorenste/136/orig        -> origin/gh/aorenste/136/orig
2025-11-03T16:15:02.2870803Z  * [new branch]              gh/aorenste/137/base        -> origin/gh/aorenste/137/base
2025-11-03T16:15:02.2870971Z  * [new branch]              gh/aorenste/137/head        -> origin/gh/aorenste/137/head
2025-11-03T16:15:02.2874699Z  * [new branch]              gh/aorenste/137/orig        -> origin/gh/aorenste/137/orig
2025-11-03T16:15:02.2874870Z  * [new branch]              gh/aorenste/138/base        -> origin/gh/aorenste/138/base
2025-11-03T16:15:02.2875014Z  * [new branch]              gh/aorenste/138/head        -> origin/gh/aorenste/138/head
2025-11-03T16:15:02.2875161Z  * [new branch]              gh/aorenste/138/orig        -> origin/gh/aorenste/138/orig
2025-11-03T16:15:02.2875298Z  * [new branch]              gh/aorenste/139/base        -> origin/gh/aorenste/139/base
2025-11-03T16:15:02.2875428Z  * [new branch]              gh/aorenste/139/head        -> origin/gh/aorenste/139/head
2025-11-03T16:15:02.2875781Z  * [new branch]              gh/aorenste/139/orig        -> origin/gh/aorenste/139/orig
2025-11-03T16:15:02.2875926Z  * [new branch]              gh/aorenste/140/base        -> origin/gh/aorenste/140/base
2025-11-03T16:15:02.2877524Z  * [new branch]              gh/aorenste/140/head        -> origin/gh/aorenste/140/head
2025-11-03T16:15:02.2877676Z  * [new branch]              gh/aorenste/140/orig        -> origin/gh/aorenste/140/orig
2025-11-03T16:15:02.2877836Z  * [new branch]              gh/aorenste/141/base        -> origin/gh/aorenste/141/base
2025-11-03T16:15:02.2877988Z  * [new branch]              gh/aorenste/141/head        -> origin/gh/aorenste/141/head
2025-11-03T16:15:02.2883622Z  * [new branch]              gh/aorenste/142/base        -> origin/gh/aorenste/142/base
2025-11-03T16:15:02.2888402Z  * [new branch]              gh/aorenste/142/head        -> origin/gh/aorenste/142/head
2025-11-03T16:15:02.2891338Z  * [new branch]              gh/aorenste/142/orig        -> origin/gh/aorenste/142/orig
2025-11-03T16:15:02.2891527Z  * [new branch]              gh/aorenste/143/base        -> origin/gh/aorenste/143/base
2025-11-03T16:15:02.2891666Z  * [new branch]              gh/aorenste/143/head        -> origin/gh/aorenste/143/head
2025-11-03T16:15:02.2891810Z  * [new branch]              gh/aorenste/143/orig        -> origin/gh/aorenste/143/orig
2025-11-03T16:15:02.2891940Z  * [new branch]              gh/aorenste/144/base        -> origin/gh/aorenste/144/base
2025-11-03T16:15:02.2892088Z  * [new branch]              gh/aorenste/144/head        -> origin/gh/aorenste/144/head
2025-11-03T16:15:02.2892214Z  * [new branch]              gh/aorenste/144/orig        -> origin/gh/aorenste/144/orig
2025-11-03T16:15:02.2892542Z  * [new branch]              gh/aorenste/145/base        -> origin/gh/aorenste/145/base
2025-11-03T16:15:02.2892679Z  * [new branch]              gh/aorenste/145/head        -> origin/gh/aorenste/145/head
2025-11-03T16:15:02.2892812Z  * [new branch]              gh/aorenste/145/orig        -> origin/gh/aorenste/145/orig
2025-11-03T16:15:02.2892979Z  * [new branch]              gh/avikchaudhuri/1/base     -> origin/gh/avikchaudhuri/1/base
2025-11-03T16:15:02.2897626Z  * [new branch]              gh/avikchaudhuri/1/head     -> origin/gh/avikchaudhuri/1/head
2025-11-03T16:15:02.2901918Z  * [new branch]              gh/avikchaudhuri/2/base     -> origin/gh/avikchaudhuri/2/base
2025-11-03T16:15:02.2904074Z  * [new branch]              gh/avikchaudhuri/2/head     -> origin/gh/avikchaudhuri/2/head
2025-11-03T16:15:02.2904263Z  * [new branch]              gh/avikchaudhuri/2/orig     -> origin/gh/avikchaudhuri/2/orig
2025-11-03T16:15:02.2904432Z  * [new branch]              gh/bdhirsh/666/base         -> origin/gh/bdhirsh/666/base
2025-11-03T16:15:02.2904561Z  * [new branch]              gh/bdhirsh/666/head         -> origin/gh/bdhirsh/666/head
2025-11-03T16:15:02.2904690Z  * [new branch]              gh/bdhirsh/666/orig         -> origin/gh/bdhirsh/666/orig
2025-11-03T16:15:02.2904834Z  * [new branch]              gh/bdhirsh/668/base         -> origin/gh/bdhirsh/668/base
2025-11-03T16:15:02.2904964Z  * [new branch]              gh/bdhirsh/668/head         -> origin/gh/bdhirsh/668/head
2025-11-03T16:15:02.2905099Z  * [new branch]              gh/bdhirsh/668/orig         -> origin/gh/bdhirsh/668/orig
2025-11-03T16:15:02.2905223Z  * [new branch]              gh/bdhirsh/669/base         -> origin/gh/bdhirsh/669/base
2025-11-03T16:15:02.2905353Z  * [new branch]              gh/bdhirsh/669/head         -> origin/gh/bdhirsh/669/head
2025-11-03T16:15:02.2905476Z  * [new branch]              gh/bdhirsh/669/orig         -> origin/gh/bdhirsh/669/orig
2025-11-03T16:15:02.2905601Z  * [new branch]              gh/bdhirsh/670/base         -> origin/gh/bdhirsh/670/base
2025-11-03T16:15:02.2905734Z  * [new branch]              gh/bdhirsh/670/head         -> origin/gh/bdhirsh/670/head
2025-11-03T16:15:02.2905855Z  * [new branch]              gh/bdhirsh/670/orig         -> origin/gh/bdhirsh/670/orig
2025-11-03T16:15:02.2906121Z  * [new branch]              gh/bdhirsh/671/base         -> origin/gh/bdhirsh/671/base
2025-11-03T16:15:02.2906246Z  * [new branch]              gh/bdhirsh/671/head         -> origin/gh/bdhirsh/671/head
2025-11-03T16:15:02.2906380Z  * [new branch]              gh/bdhirsh/671/orig         -> origin/gh/bdhirsh/671/orig
2025-11-03T16:15:02.2906507Z  * [new branch]              gh/bdhirsh/672/base         -> origin/gh/bdhirsh/672/base
2025-11-03T16:15:02.2906630Z  * [new branch]              gh/bdhirsh/672/head         -> origin/gh/bdhirsh/672/head
2025-11-03T16:15:02.2906757Z  * [new branch]              gh/bdhirsh/672/orig         -> origin/gh/bdhirsh/672/orig
2025-11-03T16:15:02.2908030Z  * [new branch]              gh/bdhirsh/673/base         -> origin/gh/bdhirsh/673/base
2025-11-03T16:15:02.2908256Z  * [new branch]              gh/bdhirsh/673/head         -> origin/gh/bdhirsh/673/head
2025-11-03T16:15:02.2908397Z  * [new branch]              gh/bdhirsh/673/orig         -> origin/gh/bdhirsh/673/orig
2025-11-03T16:15:02.2908539Z  * [new branch]              gh/bdhirsh/674/base         -> origin/gh/bdhirsh/674/base
2025-11-03T16:15:02.2908723Z  * [new branch]              gh/bdhirsh/674/head         -> origin/gh/bdhirsh/674/head
2025-11-03T16:15:02.2912219Z  * [new branch]              gh/bdhirsh/674/orig         -> origin/gh/bdhirsh/674/orig
2025-11-03T16:15:02.2912513Z  * [new branch]              gh/bdhirsh/675/base         -> origin/gh/bdhirsh/675/base
2025-11-03T16:15:02.2912707Z  * [new branch]              gh/bdhirsh/675/head         -> origin/gh/bdhirsh/675/head
2025-11-03T16:15:02.2912859Z  * [new branch]              gh/bdhirsh/675/orig         -> origin/gh/bdhirsh/675/orig
2025-11-03T16:15:02.2913221Z  * [new branch]              gh/benjaminglass1/101/base  -> origin/gh/benjaminglass1/101/base
2025-11-03T16:15:02.2913584Z  * [new branch]              gh/benjaminglass1/101/head  -> origin/gh/benjaminglass1/101/head
2025-11-03T16:15:02.2913849Z  * [new branch]              gh/benjaminglass1/101/orig  -> origin/gh/benjaminglass1/101/orig
2025-11-03T16:15:02.2914566Z  * [new branch]              gh/benjaminglass1/102/base  -> origin/gh/benjaminglass1/102/base
2025-11-03T16:15:02.2914870Z  * [new branch]              gh/benjaminglass1/102/head  -> origin/gh/benjaminglass1/102/head
2025-11-03T16:15:02.2915924Z  * [new branch]              gh/benjaminglass1/102/orig  -> origin/gh/benjaminglass1/102/orig
2025-11-03T16:15:02.2916561Z  * [new branch]              gh/benjaminglass1/106/base  -> origin/gh/benjaminglass1/106/base
2025-11-03T16:15:02.2917184Z  * [new branch]              gh/benjaminglass1/106/head  -> origin/gh/benjaminglass1/106/head
2025-11-03T16:15:02.2917829Z  * [new branch]              gh/benjaminglass1/106/orig  -> origin/gh/benjaminglass1/106/orig
2025-11-03T16:15:02.2922365Z  * [new branch]              gh/benjaminglass1/107/base  -> origin/gh/benjaminglass1/107/base
2025-11-03T16:15:02.2922639Z  * [new branch]              gh/benjaminglass1/107/head  -> origin/gh/benjaminglass1/107/head
2025-11-03T16:15:02.2922869Z  * [new branch]              gh/benjaminglass1/107/orig  -> origin/gh/benjaminglass1/107/orig
2025-11-03T16:15:02.2923028Z  * [new branch]              gh/benjaminglass1/108/base  -> origin/gh/benjaminglass1/108/base
2025-11-03T16:15:02.2923231Z  * [new branch]              gh/benjaminglass1/108/head  -> origin/gh/benjaminglass1/108/head
2025-11-03T16:15:02.2923427Z  * [new branch]              gh/benjaminglass1/108/orig  -> origin/gh/benjaminglass1/108/orig
2025-11-03T16:15:02.2923652Z  * [new branch]              gh/benjaminglass1/79/base   -> origin/gh/benjaminglass1/79/base
2025-11-03T16:15:02.2923810Z  * [new branch]              gh/benjaminglass1/79/head   -> origin/gh/benjaminglass1/79/head
2025-11-03T16:15:02.2924403Z  * [new branch]              gh/benjaminglass1/79/orig   -> origin/gh/benjaminglass1/79/orig
2025-11-03T16:15:02.2926700Z  * [new branch]              gh/benjaminglass1/86/base   -> origin/gh/benjaminglass1/86/base
2025-11-03T16:15:02.2930032Z  * [new branch]              gh/benjaminglass1/86/head   -> origin/gh/benjaminglass1/86/head
2025-11-03T16:15:02.2930311Z  * [new branch]              gh/benjaminglass1/86/orig   -> origin/gh/benjaminglass1/86/orig
2025-11-03T16:15:02.2934767Z  * [new branch]              gh/benjaminglass1/97/base   -> origin/gh/benjaminglass1/97/base
2025-11-03T16:15:02.2938192Z  * [new branch]              gh/benjaminglass1/97/head   -> origin/gh/benjaminglass1/97/head
2025-11-03T16:15:02.2941764Z  * [new branch]              gh/benjaminglass1/97/orig   -> origin/gh/benjaminglass1/97/orig
2025-11-03T16:15:02.2946528Z  * [new branch]              gh/bobrenjc93/570/base      -> origin/gh/bobrenjc93/570/base
2025-11-03T16:15:02.2946728Z  * [new branch]              gh/bobrenjc93/570/head      -> origin/gh/bobrenjc93/570/head
2025-11-03T16:15:02.2946868Z  * [new branch]              gh/bobrenjc93/570/orig      -> origin/gh/bobrenjc93/570/orig
2025-11-03T16:15:02.2947011Z  * [new branch]              gh/bobrenjc93/604/base      -> origin/gh/bobrenjc93/604/base
2025-11-03T16:15:02.2947143Z  * [new branch]              gh/bobrenjc93/604/head      -> origin/gh/bobrenjc93/604/head
2025-11-03T16:15:02.2947284Z  * [new branch]              gh/bobrenjc93/604/orig      -> origin/gh/bobrenjc93/604/orig
2025-11-03T16:15:02.2947415Z  * [new branch]              gh/bobrenjc93/625/base      -> origin/gh/bobrenjc93/625/base
2025-11-03T16:15:02.2947556Z  * [new branch]              gh/bobrenjc93/625/head      -> origin/gh/bobrenjc93/625/head
2025-11-03T16:15:02.2947688Z  * [new branch]              gh/bobrenjc93/625/orig      -> origin/gh/bobrenjc93/625/orig
2025-11-03T16:15:02.2947817Z  * [new branch]              gh/bobrenjc93/626/base      -> origin/gh/bobrenjc93/626/base
2025-11-03T16:15:02.2948085Z  * [new branch]              gh/bobrenjc93/626/head      -> origin/gh/bobrenjc93/626/head
2025-11-03T16:15:02.2948226Z  * [new branch]              gh/bobrenjc93/626/orig      -> origin/gh/bobrenjc93/626/orig
2025-11-03T16:15:02.2948370Z  * [new branch]              gh/bobrenjc93/627/base      -> origin/gh/bobrenjc93/627/base
2025-11-03T16:15:02.2948500Z  * [new branch]              gh/bobrenjc93/627/head      -> origin/gh/bobrenjc93/627/head
2025-11-03T16:15:02.2948637Z  * [new branch]              gh/bobrenjc93/627/orig      -> origin/gh/bobrenjc93/627/orig
2025-11-03T16:15:02.2948766Z  * [new branch]              gh/bobrenjc93/630/base      -> origin/gh/bobrenjc93/630/base
2025-11-03T16:15:02.2948896Z  * [new branch]              gh/bobrenjc93/630/head      -> origin/gh/bobrenjc93/630/head
2025-11-03T16:15:02.2949038Z  * [new branch]              gh/bobrenjc93/630/orig      -> origin/gh/bobrenjc93/630/orig
2025-11-03T16:15:02.2949175Z  * [new branch]              gh/bobrenjc93/631/base      -> origin/gh/bobrenjc93/631/base
2025-11-03T16:15:02.2949315Z  * [new branch]              gh/bobrenjc93/631/head      -> origin/gh/bobrenjc93/631/head
2025-11-03T16:15:02.2949446Z  * [new branch]              gh/bobrenjc93/631/orig      -> origin/gh/bobrenjc93/631/orig
2025-11-03T16:15:02.2949577Z  * [new branch]              gh/bobrenjc93/632/base      -> origin/gh/bobrenjc93/632/base
2025-11-03T16:15:02.2949714Z  * [new branch]              gh/bobrenjc93/632/head      -> origin/gh/bobrenjc93/632/head
2025-11-03T16:15:02.2949842Z  * [new branch]              gh/bobrenjc93/632/orig      -> origin/gh/bobrenjc93/632/orig
2025-11-03T16:15:02.2949979Z  * [new branch]              gh/bobrenjc93/633/base      -> origin/gh/bobrenjc93/633/base
2025-11-03T16:15:02.2950114Z  * [new branch]              gh/bobrenjc93/633/head      -> origin/gh/bobrenjc93/633/head
2025-11-03T16:15:02.2950253Z  * [new branch]              gh/bobrenjc93/633/orig      -> origin/gh/bobrenjc93/633/orig
2025-11-03T16:15:02.2950386Z  * [new branch]              gh/bobrenjc93/634/base      -> origin/gh/bobrenjc93/634/base
2025-11-03T16:15:02.2950516Z  * [new branch]              gh/bobrenjc93/634/head      -> origin/gh/bobrenjc93/634/head
2025-11-03T16:15:02.2950694Z  * [new branch]              gh/bobrenjc93/634/orig      -> origin/gh/bobrenjc93/634/orig
2025-11-03T16:15:02.2950873Z  * [new branch]              gh/bobrenjc93/635/base      -> origin/gh/bobrenjc93/635/base
2025-11-03T16:15:02.2951585Z  * [new branch]              gh/bobrenjc93/635/head      -> origin/gh/bobrenjc93/635/head
2025-11-03T16:15:02.2952196Z  * [new branch]              gh/bobrenjc93/635/orig      -> origin/gh/bobrenjc93/635/orig
2025-11-03T16:15:02.2953214Z  * [new branch]              gh/bobrenjc93/636/base      -> origin/gh/bobrenjc93/636/base
2025-11-03T16:15:02.2953399Z  * [new branch]              gh/bobrenjc93/636/head      -> origin/gh/bobrenjc93/636/head
2025-11-03T16:15:02.2954534Z  * [new branch]              gh/bobrenjc93/636/orig      -> origin/gh/bobrenjc93/636/orig
2025-11-03T16:15:02.2955379Z  * [new branch]              gh/bobrenjc93/637/base      -> origin/gh/bobrenjc93/637/base
2025-11-03T16:15:02.2955595Z  * [new branch]              gh/bobrenjc93/637/head      -> origin/gh/bobrenjc93/637/head
2025-11-03T16:15:02.2956677Z  * [new branch]              gh/bobrenjc93/637/orig      -> origin/gh/bobrenjc93/637/orig
2025-11-03T16:15:02.2957633Z  * [new branch]              gh/bobrenjc93/638/base      -> origin/gh/bobrenjc93/638/base
2025-11-03T16:15:02.2958008Z  * [new branch]              gh/bobrenjc93/638/head      -> origin/gh/bobrenjc93/638/head
2025-11-03T16:15:02.2958844Z  * [new branch]              gh/bobrenjc93/638/orig      -> origin/gh/bobrenjc93/638/orig
2025-11-03T16:15:02.2962124Z  * [new branch]              gh/bobrenjc93/639/base      -> origin/gh/bobrenjc93/639/base
2025-11-03T16:15:02.2962296Z  * [new branch]              gh/bobrenjc93/639/head      -> origin/gh/bobrenjc93/639/head
2025-11-03T16:15:02.2962584Z  * [new branch]              gh/bobrenjc93/639/orig      -> origin/gh/bobrenjc93/639/orig
2025-11-03T16:15:02.2962724Z  * [new branch]              gh/bobrenjc93/640/base      -> origin/gh/bobrenjc93/640/base
2025-11-03T16:15:02.2962872Z  * [new branch]              gh/bobrenjc93/640/head      -> origin/gh/bobrenjc93/640/head
2025-11-03T16:15:02.2966641Z  * [new branch]              gh/bobrenjc93/640/orig      -> origin/gh/bobrenjc93/640/orig
2025-11-03T16:15:02.2971374Z  * [new branch]              gh/bobrenjc93/641/base      -> origin/gh/bobrenjc93/641/base
2025-11-03T16:15:02.2975444Z  * [new branch]              gh/bobrenjc93/641/head      -> origin/gh/bobrenjc93/641/head
2025-11-03T16:15:02.2979498Z  * [new branch]              gh/bobrenjc93/641/orig      -> origin/gh/bobrenjc93/641/orig
2025-11-03T16:15:02.2979676Z  * [new branch]              gh/bobrenjc93/642/base      -> origin/gh/bobrenjc93/642/base
2025-11-03T16:15:02.2979811Z  * [new branch]              gh/bobrenjc93/642/head      -> origin/gh/bobrenjc93/642/head
2025-11-03T16:15:02.2979966Z  * [new branch]              gh/bobrenjc93/642/orig      -> origin/gh/bobrenjc93/642/orig
2025-11-03T16:15:02.2980097Z  * [new branch]              gh/bobrenjc93/643/base      -> origin/gh/bobrenjc93/643/base
2025-11-03T16:15:02.2980243Z  * [new branch]              gh/bobrenjc93/643/head      -> origin/gh/bobrenjc93/643/head
2025-11-03T16:15:02.2980374Z  * [new branch]              gh/bobrenjc93/643/orig      -> origin/gh/bobrenjc93/643/orig
2025-11-03T16:15:02.2980513Z  * [new branch]              gh/bobrenjc93/644/base      -> origin/gh/bobrenjc93/644/base
2025-11-03T16:15:02.2980640Z  * [new branch]              gh/bobrenjc93/644/head      -> origin/gh/bobrenjc93/644/head
2025-11-03T16:15:02.2980770Z  * [new branch]              gh/bobrenjc93/644/orig      -> origin/gh/bobrenjc93/644/orig
2025-11-03T16:15:02.2980905Z  * [new branch]              gh/bobrenjc93/645/base      -> origin/gh/bobrenjc93/645/base
2025-11-03T16:15:02.2981035Z  * [new branch]              gh/bobrenjc93/645/head      -> origin/gh/bobrenjc93/645/head
2025-11-03T16:15:02.2981170Z  * [new branch]              gh/bobrenjc93/645/orig      -> origin/gh/bobrenjc93/645/orig
2025-11-03T16:15:02.2981301Z  * [new branch]              gh/bobrenjc93/646/base      -> origin/gh/bobrenjc93/646/base
2025-11-03T16:15:02.2981623Z  * [new branch]              gh/bobrenjc93/646/head      -> origin/gh/bobrenjc93/646/head
2025-11-03T16:15:02.2981755Z  * [new branch]              gh/bobrenjc93/646/orig      -> origin/gh/bobrenjc93/646/orig
2025-11-03T16:15:02.2981883Z  * [new branch]              gh/bobrenjc93/647/base      -> origin/gh/bobrenjc93/647/base
2025-11-03T16:15:02.2982021Z  * [new branch]              gh/bobrenjc93/647/head      -> origin/gh/bobrenjc93/647/head
2025-11-03T16:15:02.2982152Z  * [new branch]              gh/bobrenjc93/647/orig      -> origin/gh/bobrenjc93/647/orig
2025-11-03T16:15:02.2982288Z  * [new branch]              gh/bobrenjc93/648/base      -> origin/gh/bobrenjc93/648/base
2025-11-03T16:15:02.2982423Z  * [new branch]              gh/bobrenjc93/648/head      -> origin/gh/bobrenjc93/648/head
2025-11-03T16:15:02.2982559Z  * [new branch]              gh/bobrenjc93/648/orig      -> origin/gh/bobrenjc93/648/orig
2025-11-03T16:15:02.2982698Z  * [new branch]              gh/bobrenjc93/649/base      -> origin/gh/bobrenjc93/649/base
2025-11-03T16:15:02.2982828Z  * [new branch]              gh/bobrenjc93/649/head      -> origin/gh/bobrenjc93/649/head
2025-11-03T16:15:02.2982967Z  * [new branch]              gh/bobrenjc93/649/orig      -> origin/gh/bobrenjc93/649/orig
2025-11-03T16:15:02.2983134Z  * [new branch]              gh/bobrenjc93/650/base      -> origin/gh/bobrenjc93/650/base
2025-11-03T16:15:02.2984015Z  * [new branch]              gh/bobrenjc93/650/head      -> origin/gh/bobrenjc93/650/head
2025-11-03T16:15:02.2984183Z  * [new branch]              gh/bobrenjc93/650/orig      -> origin/gh/bobrenjc93/650/orig
2025-11-03T16:15:02.2988391Z  * [new branch]              gh/bobrenjc93/651/base      -> origin/gh/bobrenjc93/651/base
2025-11-03T16:15:02.2988582Z  * [new branch]              gh/bobrenjc93/651/head      -> origin/gh/bobrenjc93/651/head
2025-11-03T16:15:02.2988717Z  * [new branch]              gh/bobrenjc93/651/orig      -> origin/gh/bobrenjc93/651/orig
2025-11-03T16:15:02.2988859Z  * [new branch]              gh/bobrenjc93/652/base      -> origin/gh/bobrenjc93/652/base
2025-11-03T16:15:02.2988989Z  * [new branch]              gh/bobrenjc93/652/head      -> origin/gh/bobrenjc93/652/head
2025-11-03T16:15:02.2989124Z  * [new branch]              gh/bobrenjc93/652/orig      -> origin/gh/bobrenjc93/652/orig
2025-11-03T16:15:02.2989301Z  * [new branch]              gh/bobrenjc93/653/base      -> origin/gh/bobrenjc93/653/base
2025-11-03T16:15:02.2990580Z  * [new branch]              gh/bobrenjc93/653/head      -> origin/gh/bobrenjc93/653/head
2025-11-03T16:15:02.2990884Z  * [new branch]              gh/bobrenjc93/653/orig      -> origin/gh/bobrenjc93/653/orig
2025-11-03T16:15:02.2993426Z  * [new branch]              gh/bobrenjc93/654/base      -> origin/gh/bobrenjc93/654/base
2025-11-03T16:15:02.2993753Z  * [new branch]              gh/bobrenjc93/654/head      -> origin/gh/bobrenjc93/654/head
2025-11-03T16:15:02.2993915Z  * [new branch]              gh/bobrenjc93/654/orig      -> origin/gh/bobrenjc93/654/orig
2025-11-03T16:15:02.2994089Z  * [new branch]              gh/bobrenjc93/655/base      -> origin/gh/bobrenjc93/655/base
2025-11-03T16:15:02.2994401Z  * [new branch]              gh/bobrenjc93/655/head      -> origin/gh/bobrenjc93/655/head
2025-11-03T16:15:02.2995741Z  * [new branch]              gh/bobrenjc93/655/orig      -> origin/gh/bobrenjc93/655/orig
2025-11-03T16:15:02.2995939Z  * [new branch]              gh/bobrenjc93/656/base      -> origin/gh/bobrenjc93/656/base
2025-11-03T16:15:02.2999230Z  * [new branch]              gh/bobrenjc93/656/head      -> origin/gh/bobrenjc93/656/head
2025-11-03T16:15:02.2999566Z  * [new branch]              gh/bobrenjc93/656/orig      -> origin/gh/bobrenjc93/656/orig
2025-11-03T16:15:02.2999743Z  * [new branch]              gh/bobrenjc93/657/base      -> origin/gh/bobrenjc93/657/base
2025-11-03T16:15:02.2999878Z  * [new branch]              gh/bobrenjc93/657/head      -> origin/gh/bobrenjc93/657/head
2025-11-03T16:15:02.3000280Z  * [new branch]              gh/bobrenjc93/657/orig      -> origin/gh/bobrenjc93/657/orig
2025-11-03T16:15:02.3000521Z  * [new branch]              gh/bobrenjc93/658/base      -> origin/gh/bobrenjc93/658/base
2025-11-03T16:15:02.3000962Z  * [new branch]              gh/bobrenjc93/658/head      -> origin/gh/bobrenjc93/658/head
2025-11-03T16:15:02.3002795Z  * [new branch]              gh/bobrenjc93/658/orig      -> origin/gh/bobrenjc93/658/orig
2025-11-03T16:15:02.3003123Z  * [new branch]              gh/bobrenjc93/659/base      -> origin/gh/bobrenjc93/659/base
2025-11-03T16:15:02.3003279Z  * [new branch]              gh/bobrenjc93/659/head      -> origin/gh/bobrenjc93/659/head
2025-11-03T16:15:02.3003749Z  * [new branch]              gh/bobrenjc93/659/orig      -> origin/gh/bobrenjc93/659/orig
2025-11-03T16:15:02.3005573Z  * [new branch]              gh/bobrenjc93/660/base      -> origin/gh/bobrenjc93/660/base
2025-11-03T16:15:02.3005911Z  * [new branch]              gh/bobrenjc93/660/head      -> origin/gh/bobrenjc93/660/head
2025-11-03T16:15:02.3006086Z  * [new branch]              gh/bobrenjc93/660/orig      -> origin/gh/bobrenjc93/660/orig
2025-11-03T16:15:02.3008412Z  * [new branch]              gh/bobrenjc93/661/base      -> origin/gh/bobrenjc93/661/base
2025-11-03T16:15:02.3008867Z  * [new branch]              gh/bobrenjc93/661/head      -> origin/gh/bobrenjc93/661/head
2025-11-03T16:15:02.3009026Z  * [new branch]              gh/bobrenjc93/661/orig      -> origin/gh/bobrenjc93/661/orig
2025-11-03T16:15:02.3009268Z  * [new branch]              gh/bobrenjc93/662/base      -> origin/gh/bobrenjc93/662/base
2025-11-03T16:15:02.3009792Z  * [new branch]              gh/bobrenjc93/662/head      -> origin/gh/bobrenjc93/662/head
2025-11-03T16:15:02.3010610Z  * [new branch]              gh/bobrenjc93/662/orig      -> origin/gh/bobrenjc93/662/orig
2025-11-03T16:15:02.3012860Z  * [new branch]              gh/bobrenjc93/663/base      -> origin/gh/bobrenjc93/663/base
2025-11-03T16:15:02.3013201Z  * [new branch]              gh/bobrenjc93/663/head      -> origin/gh/bobrenjc93/663/head
2025-11-03T16:15:02.3013358Z  * [new branch]              gh/bobrenjc93/663/orig      -> origin/gh/bobrenjc93/663/orig
2025-11-03T16:15:02.3013619Z  * [new branch]              gh/bobrenjc93/664/base      -> origin/gh/bobrenjc93/664/base
2025-11-03T16:15:02.3013866Z  * [new branch]              gh/bobrenjc93/664/head      -> origin/gh/bobrenjc93/664/head
2025-11-03T16:15:02.3015133Z  * [new branch]              gh/bobrenjc93/664/orig      -> origin/gh/bobrenjc93/664/orig
2025-11-03T16:15:02.3015612Z  * [new branch]              gh/bobrenjc93/665/base      -> origin/gh/bobrenjc93/665/base
2025-11-03T16:15:02.3016156Z  * [new branch]              gh/bobrenjc93/665/head      -> origin/gh/bobrenjc93/665/head
2025-11-03T16:15:02.3016561Z  * [new branch]              gh/bobrenjc93/665/orig      -> origin/gh/bobrenjc93/665/orig
2025-11-03T16:15:02.3019169Z  * [new branch]              gh/bobrenjc93/666/base      -> origin/gh/bobrenjc93/666/base
2025-11-03T16:15:02.3019490Z  * [new branch]              gh/bobrenjc93/666/head      -> origin/gh/bobrenjc93/666/head
2025-11-03T16:15:02.3019638Z  * [new branch]              gh/bobrenjc93/666/orig      -> origin/gh/bobrenjc93/666/orig
2025-11-03T16:15:02.3019984Z  * [new branch]              gh/bobrenjc93/667/base      -> origin/gh/bobrenjc93/667/base
2025-11-03T16:15:02.3020866Z  * [new branch]              gh/bobrenjc93/667/head      -> origin/gh/bobrenjc93/667/head
2025-11-03T16:15:02.3021140Z  * [new branch]              gh/bobrenjc93/667/orig      -> origin/gh/bobrenjc93/667/orig
2025-11-03T16:15:02.3023059Z  * [new branch]              gh/bobrenjc93/668/base      -> origin/gh/bobrenjc93/668/base
2025-11-03T16:15:02.3026992Z  * [new branch]              gh/bobrenjc93/668/head      -> origin/gh/bobrenjc93/668/head
2025-11-03T16:15:02.3030971Z  * [new branch]              gh/bobrenjc93/668/orig      -> origin/gh/bobrenjc93/668/orig
2025-11-03T16:15:02.3032766Z  * [new branch]              gh/bobrenjc93/669/base      -> origin/gh/bobrenjc93/669/base
2025-11-03T16:15:02.3033074Z  * [new branch]              gh/bobrenjc93/669/head      -> origin/gh/bobrenjc93/669/head
2025-11-03T16:15:02.3033208Z  * [new branch]              gh/bobrenjc93/669/orig      -> origin/gh/bobrenjc93/669/orig
2025-11-03T16:15:02.3033334Z  * [new branch]              gh/bobrenjc93/670/base      -> origin/gh/bobrenjc93/670/base
2025-11-03T16:15:02.3033470Z  * [new branch]              gh/bobrenjc93/670/head      -> origin/gh/bobrenjc93/670/head
2025-11-03T16:15:02.3033597Z  * [new branch]              gh/bobrenjc93/670/orig      -> origin/gh/bobrenjc93/670/orig
2025-11-03T16:15:02.3033731Z  * [new branch]              gh/bobrenjc93/671/base      -> origin/gh/bobrenjc93/671/base
2025-11-03T16:15:02.3033859Z  * [new branch]              gh/bobrenjc93/671/head      -> origin/gh/bobrenjc93/671/head
2025-11-03T16:15:02.3033990Z  * [new branch]              gh/bobrenjc93/671/orig      -> origin/gh/bobrenjc93/671/orig
2025-11-03T16:15:02.3034120Z  * [new branch]              gh/bobrenjc93/672/base      -> origin/gh/bobrenjc93/672/base
2025-11-03T16:15:02.3034244Z  * [new branch]              gh/bobrenjc93/672/head      -> origin/gh/bobrenjc93/672/head
2025-11-03T16:15:02.3034377Z  * [new branch]              gh/bobrenjc93/672/orig      -> origin/gh/bobrenjc93/672/orig
2025-11-03T16:15:02.3034500Z  * [new branch]              gh/bobrenjc93/673/base      -> origin/gh/bobrenjc93/673/base
2025-11-03T16:15:02.3034639Z  * [new branch]              gh/bobrenjc93/673/head      -> origin/gh/bobrenjc93/673/head
2025-11-03T16:15:02.3034765Z  * [new branch]              gh/bobrenjc93/673/orig      -> origin/gh/bobrenjc93/673/orig
2025-11-03T16:15:02.3035543Z  * [new branch]              gh/bobrenjc93/674/base      -> origin/gh/bobrenjc93/674/base
2025-11-03T16:15:02.3035724Z  * [new branch]              gh/bobrenjc93/674/head      -> origin/gh/bobrenjc93/674/head
2025-11-03T16:15:02.3035990Z  * [new branch]              gh/bobrenjc93/674/orig      -> origin/gh/bobrenjc93/674/orig
2025-11-03T16:15:02.3037188Z  * [new branch]              gh/bobrenjc93/675/base      -> origin/gh/bobrenjc93/675/base
2025-11-03T16:15:02.3037469Z  * [new branch]              gh/bobrenjc93/675/head      -> origin/gh/bobrenjc93/675/head
2025-11-03T16:15:02.3038372Z  * [new branch]              gh/bobrenjc93/675/orig      -> origin/gh/bobrenjc93/675/orig
2025-11-03T16:15:02.3038924Z  * [new branch]              gh/bobrenjc93/676/base      -> origin/gh/bobrenjc93/676/base
2025-11-03T16:15:02.3039817Z  * [new branch]              gh/bobrenjc93/676/head      -> origin/gh/bobrenjc93/676/head
2025-11-03T16:15:02.3040076Z  * [new branch]              gh/bobrenjc93/676/orig      -> origin/gh/bobrenjc93/676/orig
2025-11-03T16:15:02.3043790Z  * [new branch]              gh/bobrenjc93/677/base      -> origin/gh/bobrenjc93/677/base
2025-11-03T16:15:02.3043977Z  * [new branch]              gh/bobrenjc93/677/head      -> origin/gh/bobrenjc93/677/head
2025-11-03T16:15:02.3044137Z  * [new branch]              gh/bobrenjc93/677/orig      -> origin/gh/bobrenjc93/677/orig
2025-11-03T16:15:02.3044275Z  * [new branch]              gh/bobrenjc93/678/base      -> origin/gh/bobrenjc93/678/base
2025-11-03T16:15:02.3044413Z  * [new branch]              gh/bobrenjc93/678/head      -> origin/gh/bobrenjc93/678/head
2025-11-03T16:15:02.3044595Z  * [new branch]              gh/bobrenjc93/678/orig      -> origin/gh/bobrenjc93/678/orig
2025-11-03T16:15:02.3045810Z  * [new branch]              gh/bobrenjc93/679/base      -> origin/gh/bobrenjc93/679/base
2025-11-03T16:15:02.3046384Z  * [new branch]              gh/bobrenjc93/679/head      -> origin/gh/bobrenjc93/679/head
2025-11-03T16:15:02.3047256Z  * [new branch]              gh/bobrenjc93/679/orig      -> origin/gh/bobrenjc93/679/orig
2025-11-03T16:15:02.3048432Z  * [new branch]              gh/c00w/23/base             -> origin/gh/c00w/23/base
2025-11-03T16:15:02.3048922Z  * [new branch]              gh/c00w/23/head             -> origin/gh/c00w/23/head
2025-11-03T16:15:02.3050323Z  * [new branch]              gh/c00w/53/base             -> origin/gh/c00w/53/base
2025-11-03T16:15:02.3050942Z  * [new branch]              gh/c00w/53/head             -> origin/gh/c00w/53/head
2025-11-03T16:15:02.3051493Z  * [new branch]              gh/c00w/53/orig             -> origin/gh/c00w/53/orig
2025-11-03T16:15:02.3055295Z  * [new branch]              gh/c00w/54/base             -> origin/gh/c00w/54/base
2025-11-03T16:15:02.3055457Z  * [new branch]              gh/c00w/54/head             -> origin/gh/c00w/54/head
2025-11-03T16:15:02.3055582Z  * [new branch]              gh/c00w/54/orig             -> origin/gh/c00w/54/orig
2025-11-03T16:15:02.3055714Z  * [new branch]              gh/c00w/55/base             -> origin/gh/c00w/55/base
2025-11-03T16:15:02.3055863Z  * [new branch]              gh/c00w/55/head             -> origin/gh/c00w/55/head
2025-11-03T16:15:02.3056018Z  * [new branch]              gh/c00w/55/orig             -> origin/gh/c00w/55/orig
2025-11-03T16:15:02.3060219Z  * [new branch]              gh/c00w/56/base             -> origin/gh/c00w/56/base
2025-11-03T16:15:02.3060372Z  * [new branch]              gh/c00w/56/head             -> origin/gh/c00w/56/head
2025-11-03T16:15:02.3060499Z  * [new branch]              gh/c00w/56/orig             -> origin/gh/c00w/56/orig
2025-11-03T16:15:02.3060615Z  * [new branch]              gh/c00w/57/base             -> origin/gh/c00w/57/base
2025-11-03T16:15:02.3060738Z  * [new branch]              gh/c00w/57/head             -> origin/gh/c00w/57/head
2025-11-03T16:15:02.3060855Z  * [new branch]              gh/c00w/57/orig             -> origin/gh/c00w/57/orig
2025-11-03T16:15:02.3061103Z  * [new branch]              gh/c00w/58/base             -> origin/gh/c00w/58/base
2025-11-03T16:15:02.3062769Z  * [new branch]              gh/c00w/58/head             -> origin/gh/c00w/58/head
2025-11-03T16:15:02.3063087Z  * [new branch]              gh/c00w/58/orig             -> origin/gh/c00w/58/orig
2025-11-03T16:15:02.3063392Z  * [new branch]              gh/clee2000/1/base          -> origin/gh/clee2000/1/base
2025-11-03T16:15:02.3064897Z  * [new branch]              gh/clee2000/1/head          -> origin/gh/clee2000/1/head
2025-11-03T16:15:02.3065190Z  * [new branch]              gh/clee2000/1/orig          -> origin/gh/clee2000/1/orig
2025-11-03T16:15:02.3067503Z  * [new branch]              gh/coconutruben/1/base      -> origin/gh/coconutruben/1/base
2025-11-03T16:15:02.3067836Z  * [new branch]              gh/coconutruben/1/head      -> origin/gh/coconutruben/1/head
2025-11-03T16:15:02.3068037Z  * [new branch]              gh/coconutruben/20/base     -> origin/gh/coconutruben/20/base
2025-11-03T16:15:02.3069303Z  * [new branch]              gh/coconutruben/20/head     -> origin/gh/coconutruben/20/head
2025-11-03T16:15:02.3069633Z  * [new branch]              gh/coconutruben/20/orig     -> origin/gh/coconutruben/20/orig
2025-11-03T16:15:02.3072068Z  * [new branch]              gh/coconutruben/55/base     -> origin/gh/coconutruben/55/base
2025-11-03T16:15:02.3072405Z  * [new branch]              gh/coconutruben/55/head     -> origin/gh/coconutruben/55/head
2025-11-03T16:15:02.3072635Z  * [new branch]              gh/coconutruben/55/orig     -> origin/gh/coconutruben/55/orig
2025-11-03T16:15:02.3072847Z  * [new branch]              gh/coconutruben/57/base     -> origin/gh/coconutruben/57/base
2025-11-03T16:15:02.3073932Z  * [new branch]              gh/coconutruben/57/head     -> origin/gh/coconutruben/57/head
2025-11-03T16:15:02.3074415Z  * [new branch]              gh/coconutruben/57/orig     -> origin/gh/coconutruben/57/orig
2025-11-03T16:15:02.3075610Z  * [new branch]              gh/coconutruben/70/base     -> origin/gh/coconutruben/70/base
2025-11-03T16:15:02.3076225Z  * [new branch]              gh/coconutruben/70/head     -> origin/gh/coconutruben/70/head
2025-11-03T16:15:02.3076888Z  * [new branch]              gh/coconutruben/70/orig     -> origin/gh/coconutruben/70/orig
2025-11-03T16:15:02.3077672Z  * [new branch]              gh/coconutruben/71/base     -> origin/gh/coconutruben/71/base
2025-11-03T16:15:02.3078748Z  * [new branch]              gh/coconutruben/71/head     -> origin/gh/coconutruben/71/head
2025-11-03T16:15:02.3083450Z  * [new branch]              gh/coconutruben/71/orig     -> origin/gh/coconutruben/71/orig
2025-11-03T16:15:02.3083853Z  * [new branch]              gh/coconutruben/72/base     -> origin/gh/coconutruben/72/base
2025-11-03T16:15:02.3084207Z  * [new branch]              gh/coconutruben/72/head     -> origin/gh/coconutruben/72/head
2025-11-03T16:15:02.3084548Z  * [new branch]              gh/coconutruben/72/orig     -> origin/gh/coconutruben/72/orig
2025-11-03T16:15:02.3084883Z  * [new branch]              gh/coconutruben/73/base     -> origin/gh/coconutruben/73/base
2025-11-03T16:15:02.3085226Z  * [new branch]              gh/coconutruben/73/head     -> origin/gh/coconutruben/73/head
2025-11-03T16:15:02.3085550Z  * [new branch]              gh/coconutruben/73/orig     -> origin/gh/coconutruben/73/orig
2025-11-03T16:15:02.3085891Z  * [new branch]              gh/coconutruben/74/base     -> origin/gh/coconutruben/74/base
2025-11-03T16:15:02.3086223Z  * [new branch]              gh/coconutruben/74/head     -> origin/gh/coconutruben/74/head
2025-11-03T16:15:02.3086560Z  * [new branch]              gh/coconutruben/74/orig     -> origin/gh/coconutruben/74/orig
2025-11-03T16:15:02.3086919Z  * [new branch]              gh/coconutruben/79/base     -> origin/gh/coconutruben/79/base
2025-11-03T16:15:02.3088239Z  * [new branch]              gh/coconutruben/79/head     -> origin/gh/coconutruben/79/head
2025-11-03T16:15:02.3088695Z  * [new branch]              gh/coconutruben/79/orig     -> origin/gh/coconutruben/79/orig
2025-11-03T16:15:02.3089412Z  * [new branch]              gh/coconutruben/80/base     -> origin/gh/coconutruben/80/base
2025-11-03T16:15:02.3089933Z  * [new branch]              gh/coconutruben/80/head     -> origin/gh/coconutruben/80/head
2025-11-03T16:15:02.3090635Z  * [new branch]              gh/coconutruben/80/orig     -> origin/gh/coconutruben/80/orig
2025-11-03T16:15:02.3091941Z  * [new branch]              gh/coconutruben/81/base     -> origin/gh/coconutruben/81/base
2025-11-03T16:15:02.3092385Z  * [new branch]              gh/coconutruben/81/head     -> origin/gh/coconutruben/81/head
2025-11-03T16:15:02.3092843Z  * [new branch]              gh/coconutruben/81/orig     -> origin/gh/coconutruben/81/orig
2025-11-03T16:15:02.3094681Z  * [new branch]              gh/coconutruben/82/base     -> origin/gh/coconutruben/82/base
2025-11-03T16:15:02.3095094Z  * [new branch]              gh/coconutruben/82/head     -> origin/gh/coconutruben/82/head
2025-11-03T16:15:02.3095559Z  * [new branch]              gh/coconutruben/82/orig     -> origin/gh/coconutruben/82/orig
2025-11-03T16:15:02.3096898Z  * [new branch]              gh/coconutruben/83/base     -> origin/gh/coconutruben/83/base
2025-11-03T16:15:02.3097301Z  * [new branch]              gh/coconutruben/83/head     -> origin/gh/coconutruben/83/head
2025-11-03T16:15:02.3097711Z  * [new branch]              gh/coconutruben/83/orig     -> origin/gh/coconutruben/83/orig
2025-11-03T16:15:02.3100747Z  * [new branch]              gh/colinchan15/1/base       -> origin/gh/colinchan15/1/base
2025-11-03T16:15:02.3101282Z  * [new branch]              gh/colinchan15/1/head       -> origin/gh/colinchan15/1/head
2025-11-03T16:15:02.3101741Z  * [new branch]              gh/colinchan15/2/base       -> origin/gh/colinchan15/2/base
2025-11-03T16:15:02.3102640Z  * [new branch]              gh/colinchan15/2/head       -> origin/gh/colinchan15/2/head
2025-11-03T16:15:02.3103018Z  * [new branch]              gh/colinchan15/3/base       -> origin/gh/colinchan15/3/base
2025-11-03T16:15:02.3103375Z  * [new branch]              gh/colinchan15/3/head       -> origin/gh/colinchan15/3/head
2025-11-03T16:15:02.3103706Z  * [new branch]              gh/colinchan15/6/base       -> origin/gh/colinchan15/6/base
2025-11-03T16:15:02.3104037Z  * [new branch]              gh/colinchan15/6/head       -> origin/gh/colinchan15/6/head
2025-11-03T16:15:02.3104953Z  * [new branch]              gh/davidberard98/382/base   -> origin/gh/davidberard98/382/base
2025-11-03T16:15:02.3105640Z  * [new branch]              gh/davidberard98/382/head   -> origin/gh/davidberard98/382/head
2025-11-03T16:15:02.3106346Z  * [new branch]              gh/davidberard98/382/orig   -> origin/gh/davidberard98/382/orig
2025-11-03T16:15:02.3107163Z  * [new branch]              gh/davidberard98/386/base   -> origin/gh/davidberard98/386/base
2025-11-03T16:15:02.3107816Z  * [new branch]              gh/davidberard98/386/head   -> origin/gh/davidberard98/386/head
2025-11-03T16:15:02.3108547Z  * [new branch]              gh/davidberard98/386/orig   -> origin/gh/davidberard98/386/orig
2025-11-03T16:15:02.3109317Z  * [new branch]              gh/davidberard98/391/base   -> origin/gh/davidberard98/391/base
2025-11-03T16:15:02.3110451Z  * [new branch]              gh/davidberard98/391/head   -> origin/gh/davidberard98/391/head
2025-11-03T16:15:02.3110811Z  * [new branch]              gh/davidberard98/391/orig   -> origin/gh/davidberard98/391/orig
2025-11-03T16:15:02.3112299Z  * [new branch]              gh/davidberard98/392/base   -> origin/gh/davidberard98/392/base
2025-11-03T16:15:02.3112647Z  * [new branch]              gh/davidberard98/392/head   -> origin/gh/davidberard98/392/head
2025-11-03T16:15:02.3112992Z  * [new branch]              gh/davidberard98/392/orig   -> origin/gh/davidberard98/392/orig
2025-11-03T16:15:02.3116862Z  * [new branch]              gh/davidberard98/399/base   -> origin/gh/davidberard98/399/base
2025-11-03T16:15:02.3117256Z  * [new branch]              gh/davidberard98/399/head   -> origin/gh/davidberard98/399/head
2025-11-03T16:15:02.3117747Z  * [new branch]              gh/davidberard98/399/orig   -> origin/gh/davidberard98/399/orig
2025-11-03T16:15:02.3118099Z  * [new branch]              gh/desertfire/594/base      -> origin/gh/desertfire/594/base
2025-11-03T16:15:02.3118607Z  * [new branch]              gh/desertfire/594/head      -> origin/gh/desertfire/594/head
2025-11-03T16:15:02.3118987Z  * [new branch]              gh/desertfire/594/orig      -> origin/gh/desertfire/594/orig
2025-11-03T16:15:02.3119368Z  * [new branch]              gh/desertfire/595/base      -> origin/gh/desertfire/595/base
2025-11-03T16:15:02.3120053Z  * [new branch]              gh/desertfire/595/head      -> origin/gh/desertfire/595/head
2025-11-03T16:15:02.3120406Z  * [new branch]              gh/desertfire/595/orig      -> origin/gh/desertfire/595/orig
2025-11-03T16:15:02.3121446Z  * [new branch]              gh/desertfire/597/base      -> origin/gh/desertfire/597/base
2025-11-03T16:15:02.3121884Z  * [new branch]              gh/desertfire/597/head      -> origin/gh/desertfire/597/head
2025-11-03T16:15:02.3122578Z  * [new branch]              gh/desertfire/597/orig      -> origin/gh/desertfire/597/orig
2025-11-03T16:15:02.3124144Z  * [new branch]              gh/desertfire/600/base      -> origin/gh/desertfire/600/base
2025-11-03T16:15:02.3124561Z  * [new branch]              gh/desertfire/600/head      -> origin/gh/desertfire/600/head
2025-11-03T16:15:02.3124941Z  * [new branch]              gh/desertfire/600/orig      -> origin/gh/desertfire/600/orig
2025-11-03T16:15:02.3125806Z  * [new branch]              gh/desertfire/601/base      -> origin/gh/desertfire/601/base
2025-11-03T16:15:02.3126418Z  * [new branch]              gh/desertfire/601/head      -> origin/gh/desertfire/601/head
2025-11-03T16:15:02.3127130Z  * [new branch]              gh/desertfire/601/orig      -> origin/gh/desertfire/601/orig
2025-11-03T16:15:02.3128080Z  * [new branch]              gh/desertfire/602/base      -> origin/gh/desertfire/602/base
2025-11-03T16:15:02.3128582Z  * [new branch]              gh/desertfire/602/head      -> origin/gh/desertfire/602/head
2025-11-03T16:15:02.3129262Z  * [new branch]              gh/desertfire/602/orig      -> origin/gh/desertfire/602/orig
2025-11-03T16:15:02.3130801Z  * [new branch]              gh/desertfire/603/base      -> origin/gh/desertfire/603/base
2025-11-03T16:15:02.3131301Z  * [new branch]              gh/desertfire/603/head      -> origin/gh/desertfire/603/head
2025-11-03T16:15:02.3131795Z  * [new branch]              gh/desertfire/603/orig      -> origin/gh/desertfire/603/orig
2025-11-03T16:15:02.3132350Z  * [new branch]              gh/desertfire/604/base      -> origin/gh/desertfire/604/base
2025-11-03T16:15:02.3132946Z  * [new branch]              gh/desertfire/604/head      -> origin/gh/desertfire/604/head
2025-11-03T16:15:02.3133580Z  * [new branch]              gh/desertfire/604/orig      -> origin/gh/desertfire/604/orig
2025-11-03T16:15:02.3135329Z  * [new branch]              gh/dharakk/1/base           -> origin/gh/dharakk/1/base
2025-11-03T16:15:02.3135706Z  * [new branch]              gh/dharakk/1/head           -> origin/gh/dharakk/1/head
2025-11-03T16:15:02.3136529Z  * [new branch]              gh/drisspg/170/base         -> origin/gh/drisspg/170/base
2025-11-03T16:15:02.3137120Z  * [new branch]              gh/drisspg/170/head         -> origin/gh/drisspg/170/head
2025-11-03T16:15:02.3137796Z  * [new branch]              gh/drisspg/170/orig         -> origin/gh/drisspg/170/orig
2025-11-03T16:15:02.3139345Z  * [new branch]              gh/drisspg/182/base         -> origin/gh/drisspg/182/base
2025-11-03T16:15:02.3139673Z  * [new branch]              gh/drisspg/182/head         -> origin/gh/drisspg/182/head
2025-11-03T16:15:02.3140255Z  * [new branch]              gh/drisspg/183/base         -> origin/gh/drisspg/183/base
2025-11-03T16:15:02.3140785Z  * [new branch]              gh/drisspg/183/head         -> origin/gh/drisspg/183/head
2025-11-03T16:15:02.3141660Z  * [new branch]              gh/drisspg/184/base         -> origin/gh/drisspg/184/base
2025-11-03T16:15:02.3142199Z  * [new branch]              gh/drisspg/184/head         -> origin/gh/drisspg/184/head
2025-11-03T16:15:02.3143652Z  * [new branch]              gh/drisspg/185/base         -> origin/gh/drisspg/185/base
2025-11-03T16:15:02.3143986Z  * [new branch]              gh/drisspg/185/head         -> origin/gh/drisspg/185/head
2025-11-03T16:15:02.3144591Z  * [new branch]              gh/drisspg/187/base         -> origin/gh/drisspg/187/base
2025-11-03T16:15:02.3145261Z  * [new branch]              gh/drisspg/187/head         -> origin/gh/drisspg/187/head
2025-11-03T16:15:02.3145894Z  * [new branch]              gh/drisspg/187/orig         -> origin/gh/drisspg/187/orig
2025-11-03T16:15:02.3147323Z  * [new branch]              gh/drisspg/194/base         -> origin/gh/drisspg/194/base
2025-11-03T16:15:02.3147634Z  * [new branch]              gh/drisspg/194/head         -> origin/gh/drisspg/194/head
2025-11-03T16:15:02.3148107Z  * [new branch]              gh/drisspg/194/orig         -> origin/gh/drisspg/194/orig
2025-11-03T16:15:02.3148994Z  * [new branch]              gh/drisspg/197/base         -> origin/gh/drisspg/197/base
2025-11-03T16:15:02.3149500Z  * [new branch]              gh/drisspg/197/head         -> origin/gh/drisspg/197/head
2025-11-03T16:15:02.3150189Z  * [new branch]              gh/drisspg/197/orig         -> origin/gh/drisspg/197/orig
2025-11-03T16:15:02.3151614Z  * [new branch]              gh/drisspg/199/base         -> origin/gh/drisspg/199/base
2025-11-03T16:15:02.3151934Z  * [new branch]              gh/drisspg/199/head         -> origin/gh/drisspg/199/head
2025-11-03T16:15:02.3152250Z  * [new branch]              gh/drisspg/199/orig         -> origin/gh/drisspg/199/orig
2025-11-03T16:15:02.3156346Z  * [new branch]              gh/drisspg/200/base         -> origin/gh/drisspg/200/base
2025-11-03T16:15:02.3156714Z  * [new branch]              gh/drisspg/200/head         -> origin/gh/drisspg/200/head
2025-11-03T16:15:02.3157031Z  * [new branch]              gh/drisspg/200/orig         -> origin/gh/drisspg/200/orig
2025-11-03T16:15:02.3157353Z  * [new branch]              gh/drisspg/210/base         -> origin/gh/drisspg/210/base
2025-11-03T16:15:02.3157666Z  * [new branch]              gh/drisspg/210/head         -> origin/gh/drisspg/210/head
2025-11-03T16:15:02.3158115Z  * [new branch]              gh/drisspg/210/orig         -> origin/gh/drisspg/210/orig
2025-11-03T16:15:02.3158559Z  * [new branch]              gh/drisspg/211/base         -> origin/gh/drisspg/211/base
2025-11-03T16:15:02.3158901Z  * [new branch]              gh/drisspg/211/head         -> origin/gh/drisspg/211/head
2025-11-03T16:15:02.3159242Z  * [new branch]              gh/drisspg/211/orig         -> origin/gh/drisspg/211/orig
2025-11-03T16:15:02.3165305Z  * [new branch]              gh/drisspg/212/base         -> origin/gh/drisspg/212/base
2025-11-03T16:15:02.3169991Z  * [new branch]              gh/drisspg/212/head         -> origin/gh/drisspg/212/head
2025-11-03T16:15:02.3174569Z  * [new branch]              gh/drisspg/212/orig         -> origin/gh/drisspg/212/orig
2025-11-03T16:15:02.3176682Z  * [new branch]              gh/drisspg/213/base         -> origin/gh/drisspg/213/base
2025-11-03T16:15:02.3181624Z  * [new branch]              gh/drisspg/213/head         -> origin/gh/drisspg/213/head
2025-11-03T16:15:02.3183740Z  * [new branch]              gh/drisspg/213/orig         -> origin/gh/drisspg/213/orig
2025-11-03T16:15:02.3188481Z  * [new branch]              gh/drisspg/214/base         -> origin/gh/drisspg/214/base
2025-11-03T16:15:02.3192907Z  * [new branch]              gh/drisspg/214/head         -> origin/gh/drisspg/214/head
2025-11-03T16:15:02.3193331Z  * [new branch]              gh/drisspg/214/orig         -> origin/gh/drisspg/214/orig
2025-11-03T16:15:02.3193686Z  * [new branch]              gh/drisspg/215/base         -> origin/gh/drisspg/215/base
2025-11-03T16:15:02.3194023Z  * [new branch]              gh/drisspg/215/head         -> origin/gh/drisspg/215/head
2025-11-03T16:15:02.3194560Z  * [new branch]              gh/drisspg/215/orig         -> origin/gh/drisspg/215/orig
2025-11-03T16:15:02.3194909Z  * [new branch]              gh/drisspg/216/base         -> origin/gh/drisspg/216/base
2025-11-03T16:15:02.3195242Z  * [new branch]              gh/drisspg/216/head         -> origin/gh/drisspg/216/head
2025-11-03T16:15:02.3195578Z  * [new branch]              gh/drisspg/216/orig         -> origin/gh/drisspg/216/orig
2025-11-03T16:15:02.3195899Z  * [new branch]              gh/drisspg/217/base         -> origin/gh/drisspg/217/base
2025-11-03T16:15:02.3196230Z  * [new branch]              gh/drisspg/217/head         -> origin/gh/drisspg/217/head
2025-11-03T16:15:02.3196560Z  * [new branch]              gh/drisspg/217/orig         -> origin/gh/drisspg/217/orig
2025-11-03T16:15:02.3196901Z  * [new branch]              gh/dsjohns2/1/base          -> origin/gh/dsjohns2/1/base
2025-11-03T16:15:02.3197237Z  * [new branch]              gh/dsjohns2/1/head          -> origin/gh/dsjohns2/1/head
2025-11-03T16:15:02.3197590Z  * [new branch]              gh/dzmitry-huba/1/base      -> origin/gh/dzmitry-huba/1/base
2025-11-03T16:15:02.3197974Z  * [new branch]              gh/dzmitry-huba/1/head      -> origin/gh/dzmitry-huba/1/head
2025-11-03T16:15:02.3198496Z  * [new branch]              gh/dzmitry-huba/10/base     -> origin/gh/dzmitry-huba/10/base
2025-11-03T16:15:02.3198889Z  * [new branch]              gh/dzmitry-huba/10/head     -> origin/gh/dzmitry-huba/10/head
2025-11-03T16:15:02.3199266Z  * [new branch]              gh/dzmitry-huba/10/orig     -> origin/gh/dzmitry-huba/10/orig
2025-11-03T16:15:02.3199592Z  * [new branch]              gh/dzmitry-huba/11/base     -> origin/gh/dzmitry-huba/11/base
2025-11-03T16:15:02.3199984Z  * [new branch]              gh/dzmitry-huba/11/head     -> origin/gh/dzmitry-huba/11/head
2025-11-03T16:15:02.3200314Z  * [new branch]              gh/dzmitry-huba/11/orig     -> origin/gh/dzmitry-huba/11/orig
2025-11-03T16:15:02.3200647Z  * [new branch]              gh/dzmitry-huba/12/base     -> origin/gh/dzmitry-huba/12/base
2025-11-03T16:15:02.3200980Z  * [new branch]              gh/dzmitry-huba/12/head     -> origin/gh/dzmitry-huba/12/head
2025-11-03T16:15:02.3201302Z  * [new branch]              gh/dzmitry-huba/12/orig     -> origin/gh/dzmitry-huba/12/orig
2025-11-03T16:15:02.3201732Z  * [new branch]              gh/dzmitry-huba/2/base      -> origin/gh/dzmitry-huba/2/base
2025-11-03T16:15:02.3202067Z  * [new branch]              gh/dzmitry-huba/2/head      -> origin/gh/dzmitry-huba/2/head
2025-11-03T16:15:02.3202395Z  * [new branch]              gh/dzmitry-huba/3/base      -> origin/gh/dzmitry-huba/3/base
2025-11-03T16:15:02.3202721Z  * [new branch]              gh/dzmitry-huba/3/head      -> origin/gh/dzmitry-huba/3/head
2025-11-03T16:15:02.3203038Z  * [new branch]              gh/dzmitry-huba/4/base      -> origin/gh/dzmitry-huba/4/base
2025-11-03T16:15:02.3203364Z  * [new branch]              gh/dzmitry-huba/4/head      -> origin/gh/dzmitry-huba/4/head
2025-11-03T16:15:02.3203694Z  * [new branch]              gh/dzmitry-huba/4/orig      -> origin/gh/dzmitry-huba/4/orig
2025-11-03T16:15:02.3204019Z  * [new branch]              gh/dzmitry-huba/5/base      -> origin/gh/dzmitry-huba/5/base
2025-11-03T16:15:02.3204346Z  * [new branch]              gh/dzmitry-huba/5/head      -> origin/gh/dzmitry-huba/5/head
2025-11-03T16:15:02.3204667Z  * [new branch]              gh/dzmitry-huba/5/orig      -> origin/gh/dzmitry-huba/5/orig
2025-11-03T16:15:02.3204993Z  * [new branch]              gh/dzmitry-huba/6/base      -> origin/gh/dzmitry-huba/6/base
2025-11-03T16:15:02.3205315Z  * [new branch]              gh/dzmitry-huba/6/head      -> origin/gh/dzmitry-huba/6/head
2025-11-03T16:15:02.3205642Z  * [new branch]              gh/dzmitry-huba/6/orig      -> origin/gh/dzmitry-huba/6/orig
2025-11-03T16:15:02.3205969Z  * [new branch]              gh/dzmitry-huba/7/base      -> origin/gh/dzmitry-huba/7/base
2025-11-03T16:15:02.3206295Z  * [new branch]              gh/dzmitry-huba/7/head      -> origin/gh/dzmitry-huba/7/head
2025-11-03T16:15:02.3206656Z  * [new branch]              gh/dzmitry-huba/7/orig      -> origin/gh/dzmitry-huba/7/orig
2025-11-03T16:15:02.3206987Z  * [new branch]              gh/dzmitry-huba/8/base      -> origin/gh/dzmitry-huba/8/base
2025-11-03T16:15:02.3207318Z  * [new branch]              gh/dzmitry-huba/8/head      -> origin/gh/dzmitry-huba/8/head
2025-11-03T16:15:02.3207649Z  * [new branch]              gh/dzmitry-huba/8/orig      -> origin/gh/dzmitry-huba/8/orig
2025-11-03T16:15:02.3207958Z  * [new branch]              gh/dzmitry-huba/9/base      -> origin/gh/dzmitry-huba/9/base
2025-11-03T16:15:02.3208276Z  * [new branch]              gh/dzmitry-huba/9/head      -> origin/gh/dzmitry-huba/9/head
2025-11-03T16:15:02.3208592Z  * [new branch]              gh/dzmitry-huba/9/orig      -> origin/gh/dzmitry-huba/9/orig
2025-11-03T16:15:02.3208915Z  * [new branch]              gh/eellison/808/base        -> origin/gh/eellison/808/base
2025-11-03T16:15:02.3209241Z  * [new branch]              gh/eellison/808/head        -> origin/gh/eellison/808/head
2025-11-03T16:15:02.3209551Z  * [new branch]              gh/eellison/808/orig        -> origin/gh/eellison/808/orig
2025-11-03T16:15:02.3209864Z  * [new branch]              gh/eellison/809/base        -> origin/gh/eellison/809/base
2025-11-03T16:15:02.3210177Z  * [new branch]              gh/eellison/809/head        -> origin/gh/eellison/809/head
2025-11-03T16:15:02.3210487Z  * [new branch]              gh/eellison/809/orig        -> origin/gh/eellison/809/orig
2025-11-03T16:15:02.3210796Z  * [new branch]              gh/eellison/822/base        -> origin/gh/eellison/822/base
2025-11-03T16:15:02.3211097Z  * [new branch]              gh/eellison/822/head        -> origin/gh/eellison/822/head
2025-11-03T16:15:02.3211409Z  * [new branch]              gh/eellison/822/orig        -> origin/gh/eellison/822/orig
2025-11-03T16:15:02.3215744Z  * [new branch]              gh/eellison/823/base        -> origin/gh/eellison/823/base
2025-11-03T16:15:02.3221509Z  * [new branch]              gh/eellison/823/head        -> origin/gh/eellison/823/head
2025-11-03T16:15:02.3223673Z  * [new branch]              gh/eellison/823/orig        -> origin/gh/eellison/823/orig
2025-11-03T16:15:02.3229173Z  * [new branch]              gh/eellison/836/base        -> origin/gh/eellison/836/base
2025-11-03T16:15:02.3233855Z  * [new branch]              gh/eellison/836/head        -> origin/gh/eellison/836/head
2025-11-03T16:15:02.3234378Z  * [new branch]              gh/eellison/836/orig        -> origin/gh/eellison/836/orig
2025-11-03T16:15:02.3234822Z  * [new branch]              gh/eellison/837/base        -> origin/gh/eellison/837/base
2025-11-03T16:15:02.3235574Z  * [new branch]              gh/eellison/837/head        -> origin/gh/eellison/837/head
2025-11-03T16:15:02.3236115Z  * [new branch]              gh/eellison/837/orig        -> origin/gh/eellison/837/orig
2025-11-03T16:15:02.3236973Z  * [new branch]              gh/eellison/838/base        -> origin/gh/eellison/838/base
2025-11-03T16:15:02.3237550Z  * [new branch]              gh/eellison/838/head        -> origin/gh/eellison/838/head
2025-11-03T16:15:02.3238045Z  * [new branch]              gh/eellison/838/orig        -> origin/gh/eellison/838/orig
2025-11-03T16:15:02.3238618Z  * [new branch]              gh/eellison/839/base        -> origin/gh/eellison/839/base
2025-11-03T16:15:02.3239435Z  * [new branch]              gh/eellison/839/head        -> origin/gh/eellison/839/head
2025-11-03T16:15:02.3239969Z  * [new branch]              gh/eellison/839/orig        -> origin/gh/eellison/839/orig
2025-11-03T16:15:02.3240361Z  * [new branch]              gh/eellison/840/base        -> origin/gh/eellison/840/base
2025-11-03T16:15:02.3240813Z  * [new branch]              gh/eellison/840/head        -> origin/gh/eellison/840/head
2025-11-03T16:15:02.3241211Z  * [new branch]              gh/eellison/840/orig        -> origin/gh/eellison/840/orig
2025-11-03T16:15:02.3241651Z  * [new branch]              gh/eellison/841/base        -> origin/gh/eellison/841/base
2025-11-03T16:15:02.3242244Z  * [new branch]              gh/eellison/841/head        -> origin/gh/eellison/841/head
2025-11-03T16:15:02.3242590Z  * [new branch]              gh/eellison/841/orig        -> origin/gh/eellison/841/orig
2025-11-03T16:15:02.3242932Z  * [new branch]              gh/eellison/842/base        -> origin/gh/eellison/842/base
2025-11-03T16:15:02.3243247Z  * [new branch]              gh/eellison/842/head        -> origin/gh/eellison/842/head
2025-11-03T16:15:02.3243559Z  * [new branch]              gh/eellison/842/orig        -> origin/gh/eellison/842/orig
2025-11-03T16:15:02.3243885Z  * [new branch]              gh/eellison/843/base        -> origin/gh/eellison/843/base
2025-11-03T16:15:02.3244197Z  * [new branch]              gh/eellison/843/head        -> origin/gh/eellison/843/head
2025-11-03T16:15:02.3244496Z  * [new branch]              gh/eellison/843/orig        -> origin/gh/eellison/843/orig
2025-11-03T16:15:02.3244811Z  * [new branch]              gh/eellison/844/base        -> origin/gh/eellison/844/base
2025-11-03T16:15:02.3245122Z  * [new branch]              gh/eellison/844/head        -> origin/gh/eellison/844/head
2025-11-03T16:15:02.3245429Z  * [new branch]              gh/eellison/844/orig        -> origin/gh/eellison/844/orig
2025-11-03T16:15:02.3245743Z  * [new branch]              gh/eellison/845/base        -> origin/gh/eellison/845/base
2025-11-03T16:15:02.3246046Z  * [new branch]              gh/eellison/845/head        -> origin/gh/eellison/845/head
2025-11-03T16:15:02.3246377Z  * [new branch]              gh/eellison/845/orig        -> origin/gh/eellison/845/orig
2025-11-03T16:15:02.3246728Z  * [new branch]              gh/eellison/846/base        -> origin/gh/eellison/846/base
2025-11-03T16:15:02.3247077Z  * [new branch]              gh/eellison/846/head        -> origin/gh/eellison/846/head
2025-11-03T16:15:02.3247413Z  * [new branch]              gh/eellison/846/orig        -> origin/gh/eellison/846/orig
2025-11-03T16:15:02.3247762Z  * [new branch]              gh/eellison/847/base        -> origin/gh/eellison/847/base
2025-11-03T16:15:02.3248081Z  * [new branch]              gh/eellison/847/head        -> origin/gh/eellison/847/head
2025-11-03T16:15:02.3248436Z  * [new branch]              gh/eellison/847/orig        -> origin/gh/eellison/847/orig
2025-11-03T16:15:02.3248835Z  * [new branch]              gh/eellison/848/base        -> origin/gh/eellison/848/base
2025-11-03T16:15:02.3249238Z  * [new branch]              gh/eellison/848/head        -> origin/gh/eellison/848/head
2025-11-03T16:15:02.3249561Z  * [new branch]              gh/eellison/848/orig        -> origin/gh/eellison/848/orig
2025-11-03T16:15:02.3249909Z  * [new branch]              gh/eellison/849/base        -> origin/gh/eellison/849/base
2025-11-03T16:15:02.3250241Z  * [new branch]              gh/eellison/849/head        -> origin/gh/eellison/849/head
2025-11-03T16:15:02.3250591Z  * [new branch]              gh/eellison/849/orig        -> origin/gh/eellison/849/orig
2025-11-03T16:15:02.3250939Z  * [new branch]              gh/eellison/850/base        -> origin/gh/eellison/850/base
2025-11-03T16:15:02.3251287Z  * [new branch]              gh/eellison/850/head        -> origin/gh/eellison/850/head
2025-11-03T16:15:02.3251605Z  * [new branch]              gh/eellison/850/orig        -> origin/gh/eellison/850/orig
2025-11-03T16:15:02.3251980Z  * [new branch]              gh/eellison/851/base        -> origin/gh/eellison/851/base
2025-11-03T16:15:02.3252311Z  * [new branch]              gh/eellison/851/head        -> origin/gh/eellison/851/head
2025-11-03T16:15:02.3252620Z  * [new branch]              gh/eellison/851/orig        -> origin/gh/eellison/851/orig
2025-11-03T16:15:02.3252927Z  * [new branch]              gh/eellison/852/base        -> origin/gh/eellison/852/base
2025-11-03T16:15:02.3253242Z  * [new branch]              gh/eellison/852/head        -> origin/gh/eellison/852/head
2025-11-03T16:15:02.3253536Z  * [new branch]              gh/eellison/852/orig        -> origin/gh/eellison/852/orig
2025-11-03T16:15:02.3253875Z  * [new branch]              gh/eellison/853/base        -> origin/gh/eellison/853/base
2025-11-03T16:15:02.3254166Z  * [new branch]              gh/eellison/853/head        -> origin/gh/eellison/853/head
2025-11-03T16:15:02.3254463Z  * [new branch]              gh/eellison/853/orig        -> origin/gh/eellison/853/orig
2025-11-03T16:15:02.3254760Z  * [new branch]              gh/eellison/854/base        -> origin/gh/eellison/854/base
2025-11-03T16:15:02.3255057Z  * [new branch]              gh/eellison/854/head        -> origin/gh/eellison/854/head
2025-11-03T16:15:02.3255350Z  * [new branch]              gh/eellison/854/orig        -> origin/gh/eellison/854/orig
2025-11-03T16:15:02.3255647Z  * [new branch]              gh/eellison/855/base        -> origin/gh/eellison/855/base
2025-11-03T16:15:02.3255944Z  * [new branch]              gh/eellison/855/head        -> origin/gh/eellison/855/head
2025-11-03T16:15:02.3256268Z  * [new branch]              gh/eellison/855/orig        -> origin/gh/eellison/855/orig
2025-11-03T16:15:02.3256706Z  * [new branch]              gh/eellison/856/base        -> origin/gh/eellison/856/base
2025-11-03T16:15:02.3257122Z  * [new branch]              gh/eellison/856/head        -> origin/gh/eellison/856/head
2025-11-03T16:15:02.3257516Z  * [new branch]              gh/eellison/856/orig        -> origin/gh/eellison/856/orig
2025-11-03T16:15:02.3258317Z  * [new branch]              gh/eellison/857/base        -> origin/gh/eellison/857/base
2025-11-03T16:15:02.3258694Z  * [new branch]              gh/eellison/857/head        -> origin/gh/eellison/857/head
2025-11-03T16:15:02.3259023Z  * [new branch]              gh/eellison/857/orig        -> origin/gh/eellison/857/orig
2025-11-03T16:15:02.3263037Z  * [new branch]              gh/eellison/858/base        -> origin/gh/eellison/858/base
2025-11-03T16:15:02.3263560Z  * [new branch]              gh/eellison/858/head        -> origin/gh/eellison/858/head
2025-11-03T16:15:02.3264032Z  * [new branch]              gh/eellison/858/orig        -> origin/gh/eellison/858/orig
2025-11-03T16:15:02.3264356Z  * [new branch]              gh/eellison/859/base        -> origin/gh/eellison/859/base
2025-11-03T16:15:02.3264691Z  * [new branch]              gh/eellison/859/head        -> origin/gh/eellison/859/head
2025-11-03T16:15:02.3265145Z  * [new branch]              gh/eellison/859/orig        -> origin/gh/eellison/859/orig
2025-11-03T16:15:02.3265448Z  * [new branch]              gh/eellison/860/base        -> origin/gh/eellison/860/base
2025-11-03T16:15:02.3265737Z  * [new branch]              gh/eellison/860/head        -> origin/gh/eellison/860/head
2025-11-03T16:15:02.3266036Z  * [new branch]              gh/eellison/860/orig        -> origin/gh/eellison/860/orig
2025-11-03T16:15:02.3266336Z  * [new branch]              gh/eellison/861/base        -> origin/gh/eellison/861/base
2025-11-03T16:15:02.3266641Z  * [new branch]              gh/eellison/861/head        -> origin/gh/eellison/861/head
2025-11-03T16:15:02.3267099Z  * [new branch]              gh/eellison/861/orig        -> origin/gh/eellison/861/orig
2025-11-03T16:15:02.3267399Z  * [new branch]              gh/etaf/147/base            -> origin/gh/etaf/147/base
2025-11-03T16:15:02.3271703Z  * [new branch]              gh/etaf/147/head            -> origin/gh/etaf/147/head
2025-11-03T16:15:02.3272194Z  * [new branch]              gh/etaf/154/base            -> origin/gh/etaf/154/base
2025-11-03T16:15:02.3272596Z  * [new branch]              gh/etaf/154/head            -> origin/gh/etaf/154/head
2025-11-03T16:15:02.3273248Z  * [new branch]              gh/etaf/154/orig            -> origin/gh/etaf/154/orig
2025-11-03T16:15:02.3273621Z  * [new branch]              gh/etaf/156/base            -> origin/gh/etaf/156/base
2025-11-03T16:15:02.3273924Z  * [new branch]              gh/etaf/156/head            -> origin/gh/etaf/156/head
2025-11-03T16:15:02.3274224Z  * [new branch]              gh/etaf/156/orig            -> origin/gh/etaf/156/orig
2025-11-03T16:15:02.3274717Z  * [new branch]              gh/etaf/157/base            -> origin/gh/etaf/157/base
2025-11-03T16:15:02.3275020Z  * [new branch]              gh/etaf/157/head            -> origin/gh/etaf/157/head
2025-11-03T16:15:02.3275307Z  * [new branch]              gh/etaf/157/orig            -> origin/gh/etaf/157/orig
2025-11-03T16:15:02.3275598Z  * [new branch]              gh/etaf/158/base            -> origin/gh/etaf/158/base
2025-11-03T16:15:02.3275890Z  * [new branch]              gh/etaf/158/head            -> origin/gh/etaf/158/head
2025-11-03T16:15:02.3276171Z  * [new branch]              gh/etaf/158/orig            -> origin/gh/etaf/158/orig
2025-11-03T16:15:02.3276458Z  * [new branch]              gh/etaf/159/base            -> origin/gh/etaf/159/base
2025-11-03T16:15:02.3276747Z  * [new branch]              gh/etaf/159/head            -> origin/gh/etaf/159/head
2025-11-03T16:15:02.3277210Z  * [new branch]              gh/etaf/159/orig            -> origin/gh/etaf/159/orig
2025-11-03T16:15:02.3277626Z  * [new branch]              gh/etaf/160/base            -> origin/gh/etaf/160/base
2025-11-03T16:15:02.3278288Z  * [new branch]              gh/etaf/160/head            -> origin/gh/etaf/160/head
2025-11-03T16:15:02.3283230Z  * [new branch]              gh/etaf/160/orig            -> origin/gh/etaf/160/orig
2025-11-03T16:15:02.3288456Z  * [new branch]              gh/etaf/161/base            -> origin/gh/etaf/161/base
2025-11-03T16:15:02.3292635Z  * [new branch]              gh/etaf/161/head            -> origin/gh/etaf/161/head
2025-11-03T16:15:02.3297222Z  * [new branch]              gh/etaf/161/orig            -> origin/gh/etaf/161/orig
2025-11-03T16:15:02.3301269Z  * [new branch]              gh/etaf/162/base            -> origin/gh/etaf/162/base
2025-11-03T16:15:02.3305782Z  * [new branch]              gh/etaf/162/head            -> origin/gh/etaf/162/head
2025-11-03T16:15:02.3310338Z  * [new branch]              gh/etaf/162/orig            -> origin/gh/etaf/162/orig
2025-11-03T16:15:02.3310722Z  * [new branch]              gh/etaf/166/base            -> origin/gh/etaf/166/base
2025-11-03T16:15:02.3311017Z  * [new branch]              gh/etaf/166/head            -> origin/gh/etaf/166/head
2025-11-03T16:15:02.3311306Z  * [new branch]              gh/etaf/166/orig            -> origin/gh/etaf/166/orig
2025-11-03T16:15:02.3311785Z  * [new branch]              gh/etaf/167/base            -> origin/gh/etaf/167/base
2025-11-03T16:15:02.3312073Z  * [new branch]              gh/etaf/167/head            -> origin/gh/etaf/167/head
2025-11-03T16:15:02.3312358Z  * [new branch]              gh/etaf/167/orig            -> origin/gh/etaf/167/orig
2025-11-03T16:15:02.3312643Z  * [new branch]              gh/etaf/168/base            -> origin/gh/etaf/168/base
2025-11-03T16:15:02.3312920Z  * [new branch]              gh/etaf/168/head            -> origin/gh/etaf/168/head
2025-11-03T16:15:02.3313205Z  * [new branch]              gh/etaf/168/orig            -> origin/gh/etaf/168/orig
2025-11-03T16:15:02.3313492Z  * [new branch]              gh/etaf/171/base            -> origin/gh/etaf/171/base
2025-11-03T16:15:02.3313779Z  * [new branch]              gh/etaf/171/head            -> origin/gh/etaf/171/head
2025-11-03T16:15:02.3314062Z  * [new branch]              gh/etaf/171/orig            -> origin/gh/etaf/171/orig
2025-11-03T16:15:02.3314345Z  * [new branch]              gh/etaf/172/base            -> origin/gh/etaf/172/base
2025-11-03T16:15:02.3314629Z  * [new branch]              gh/etaf/172/head            -> origin/gh/etaf/172/head
2025-11-03T16:15:02.3314913Z  * [new branch]              gh/etaf/172/orig            -> origin/gh/etaf/172/orig
2025-11-03T16:15:02.3315239Z  * [new branch]              gh/exclamaforte/1/base      -> origin/gh/exclamaforte/1/base
2025-11-03T16:15:02.3315586Z  * [new branch]              gh/exclamaforte/1/head      -> origin/gh/exclamaforte/1/head
2025-11-03T16:15:02.3315910Z  * [new branch]              gh/exclamaforte/2/base      -> origin/gh/exclamaforte/2/base
2025-11-03T16:15:02.3316282Z  * [new branch]              gh/exclamaforte/2/head      -> origin/gh/exclamaforte/2/head
2025-11-03T16:15:02.3316636Z  * [new branch]              gh/exclamaforte/3/base      -> origin/gh/exclamaforte/3/base
2025-11-03T16:15:02.3316965Z  * [new branch]              gh/exclamaforte/3/head      -> origin/gh/exclamaforte/3/head
2025-11-03T16:15:02.3317294Z  * [new branch]              gh/exclamaforte/4/base      -> origin/gh/exclamaforte/4/base
2025-11-03T16:15:02.3317614Z  * [new branch]              gh/exclamaforte/4/head      -> origin/gh/exclamaforte/4/head
2025-11-03T16:15:02.3317944Z  * [new branch]              gh/ezyang/2374/base         -> origin/gh/ezyang/2374/base
2025-11-03T16:15:02.3318399Z  * [new branch]              gh/ezyang/2374/head         -> origin/gh/ezyang/2374/head
2025-11-03T16:15:02.3318718Z  * [new branch]              gh/ezyang/2374/orig         -> origin/gh/ezyang/2374/orig
2025-11-03T16:15:02.3319025Z  * [new branch]              gh/ezyang/2973/base         -> origin/gh/ezyang/2973/base
2025-11-03T16:15:02.3319323Z  * [new branch]              gh/ezyang/2973/head         -> origin/gh/ezyang/2973/head
2025-11-03T16:15:02.3319627Z  * [new branch]              gh/ezyang/2973/orig         -> origin/gh/ezyang/2973/orig
2025-11-03T16:15:02.3319940Z  * [new branch]              gh/ezyang/2974/base         -> origin/gh/ezyang/2974/base
2025-11-03T16:15:02.3320260Z  * [new branch]              gh/ezyang/2974/head         -> origin/gh/ezyang/2974/head
2025-11-03T16:15:02.3320577Z  * [new branch]              gh/ezyang/2974/orig         -> origin/gh/ezyang/2974/orig
2025-11-03T16:15:02.3320888Z  * [new branch]              gh/ezyang/3120/base         -> origin/gh/ezyang/3120/base
2025-11-03T16:15:02.3321207Z  * [new branch]              gh/ezyang/3120/head         -> origin/gh/ezyang/3120/head
2025-11-03T16:15:02.3321525Z  * [new branch]              gh/ezyang/3120/orig         -> origin/gh/ezyang/3120/orig
2025-11-03T16:15:02.3321852Z  * [new branch]              gh/ezyang/3131/base         -> origin/gh/ezyang/3131/base
2025-11-03T16:15:02.3322170Z  * [new branch]              gh/ezyang/3131/head         -> origin/gh/ezyang/3131/head
2025-11-03T16:15:02.3322467Z  * [new branch]              gh/ezyang/3131/orig         -> origin/gh/ezyang/3131/orig
2025-11-03T16:15:02.3322820Z  * [new branch]              gh/ezyang/3139/base         -> origin/gh/ezyang/3139/base
2025-11-03T16:15:02.3323134Z  * [new branch]              gh/ezyang/3139/head         -> origin/gh/ezyang/3139/head
2025-11-03T16:15:02.3323449Z  * [new branch]              gh/ezyang/3139/orig         -> origin/gh/ezyang/3139/orig
2025-11-03T16:15:02.3323757Z  * [new branch]              gh/ezyang/3140/base         -> origin/gh/ezyang/3140/base
2025-11-03T16:15:02.3324076Z  * [new branch]              gh/ezyang/3140/head         -> origin/gh/ezyang/3140/head
2025-11-03T16:15:02.3324391Z  * [new branch]              gh/ezyang/3140/orig         -> origin/gh/ezyang/3140/orig
2025-11-03T16:15:02.3324711Z  * [new branch]              gh/ezyang/3143/base         -> origin/gh/ezyang/3143/base
2025-11-03T16:15:02.3325028Z  * [new branch]              gh/ezyang/3143/head         -> origin/gh/ezyang/3143/head
2025-11-03T16:15:02.3325340Z  * [new branch]              gh/ezyang/3143/orig         -> origin/gh/ezyang/3143/orig
2025-11-03T16:15:02.3325658Z  * [new branch]              gh/ezyang/3144/base         -> origin/gh/ezyang/3144/base
2025-11-03T16:15:02.3325978Z  * [new branch]              gh/ezyang/3144/head         -> origin/gh/ezyang/3144/head
2025-11-03T16:15:02.3326300Z  * [new branch]              gh/ezyang/3144/orig         -> origin/gh/ezyang/3144/orig
2025-11-03T16:15:02.3326621Z  * [new branch]              gh/ezyang/3148/base         -> origin/gh/ezyang/3148/base
2025-11-03T16:15:02.3326932Z  * [new branch]              gh/ezyang/3148/head         -> origin/gh/ezyang/3148/head
2025-11-03T16:15:02.3327259Z  * [new branch]              gh/ezyang/3148/orig         -> origin/gh/ezyang/3148/orig
2025-11-03T16:15:02.3327632Z  * [new branch]              gh/ezyang/3158/base         -> origin/gh/ezyang/3158/base
2025-11-03T16:15:02.3327955Z  * [new branch]              gh/ezyang/3158/head         -> origin/gh/ezyang/3158/head
2025-11-03T16:15:02.3328274Z  * [new branch]              gh/ezyang/3158/orig         -> origin/gh/ezyang/3158/orig
2025-11-03T16:15:02.3328588Z  * [new branch]              gh/ezyang/3165/base         -> origin/gh/ezyang/3165/base
2025-11-03T16:15:02.3328913Z  * [new branch]              gh/ezyang/3165/head         -> origin/gh/ezyang/3165/head
2025-11-03T16:15:02.3329234Z  * [new branch]              gh/ezyang/3165/orig         -> origin/gh/ezyang/3165/orig
2025-11-03T16:15:02.3329559Z  * [new branch]              gh/ezyang/3167/base         -> origin/gh/ezyang/3167/base
2025-11-03T16:15:02.3329881Z  * [new branch]              gh/ezyang/3167/head         -> origin/gh/ezyang/3167/head
2025-11-03T16:15:02.3330195Z  * [new branch]              gh/ezyang/3167/orig         -> origin/gh/ezyang/3167/orig
2025-11-03T16:15:02.3330523Z  * [new branch]              gh/ezyang/3168/base         -> origin/gh/ezyang/3168/base
2025-11-03T16:15:02.3331073Z  * [new branch]              gh/ezyang/3168/head         -> origin/gh/ezyang/3168/head
2025-11-03T16:15:02.3331544Z  * [new branch]              gh/ezyang/3168/orig         -> origin/gh/ezyang/3168/orig
2025-11-03T16:15:02.3333081Z  * [new branch]              gh/ezyang/3169/base         -> origin/gh/ezyang/3169/base
2025-11-03T16:15:02.3333460Z  * [new branch]              gh/ezyang/3169/head         -> origin/gh/ezyang/3169/head
2025-11-03T16:15:02.3333817Z  * [new branch]              gh/ezyang/3169/orig         -> origin/gh/ezyang/3169/orig
2025-11-03T16:15:02.3339056Z  * [new branch]              gh/ezyang/3170/base         -> origin/gh/ezyang/3170/base
2025-11-03T16:15:02.3339435Z  * [new branch]              gh/ezyang/3170/head         -> origin/gh/ezyang/3170/head
2025-11-03T16:15:02.3339758Z  * [new branch]              gh/ezyang/3170/orig         -> origin/gh/ezyang/3170/orig
2025-11-03T16:15:02.3340080Z  * [new branch]              gh/ezyang/3171/base         -> origin/gh/ezyang/3171/base
2025-11-03T16:15:02.3340390Z  * [new branch]              gh/ezyang/3171/head         -> origin/gh/ezyang/3171/head
2025-11-03T16:15:02.3340862Z  * [new branch]              gh/ezyang/3171/orig         -> origin/gh/ezyang/3171/orig
2025-11-03T16:15:02.3341174Z  * [new branch]              gh/ezyang/3172/base         -> origin/gh/ezyang/3172/base
2025-11-03T16:15:02.3341483Z  * [new branch]              gh/ezyang/3172/head         -> origin/gh/ezyang/3172/head
2025-11-03T16:15:02.3341778Z  * [new branch]              gh/ezyang/3172/orig         -> origin/gh/ezyang/3172/orig
2025-11-03T16:15:02.3342092Z  * [new branch]              gh/ezyang/3173/base         -> origin/gh/ezyang/3173/base
2025-11-03T16:15:02.3342636Z  * [new branch]              gh/ezyang/3173/head         -> origin/gh/ezyang/3173/head
2025-11-03T16:15:02.3343152Z  * [new branch]              gh/ezyang/3173/orig         -> origin/gh/ezyang/3173/orig
2025-11-03T16:15:02.3343846Z  * [new branch]              gh/ezyang/3174/base         -> origin/gh/ezyang/3174/base
2025-11-03T16:15:02.3344433Z  * [new branch]              gh/ezyang/3174/head         -> origin/gh/ezyang/3174/head
2025-11-03T16:15:02.3345066Z  * [new branch]              gh/ezyang/3174/orig         -> origin/gh/ezyang/3174/orig
2025-11-03T16:15:02.3346308Z  * [new branch]              gh/ezyang/3175/base         -> origin/gh/ezyang/3175/base
2025-11-03T16:15:02.3346681Z  * [new branch]              gh/ezyang/3175/head         -> origin/gh/ezyang/3175/head
2025-11-03T16:15:02.3347269Z  * [new branch]              gh/ezyang/3175/orig         -> origin/gh/ezyang/3175/orig
2025-11-03T16:15:02.3348409Z  * [new branch]              gh/ezyang/3176/base         -> origin/gh/ezyang/3176/base
2025-11-03T16:15:02.3348745Z  * [new branch]              gh/ezyang/3176/head         -> origin/gh/ezyang/3176/head
2025-11-03T16:15:02.3349318Z  * [new branch]              gh/ezyang/3176/orig         -> origin/gh/ezyang/3176/orig
2025-11-03T16:15:02.3350886Z  * [new branch]              gh/ezyang/3177/base         -> origin/gh/ezyang/3177/base
2025-11-03T16:15:02.3351218Z  * [new branch]              gh/ezyang/3177/head         -> origin/gh/ezyang/3177/head
2025-11-03T16:15:02.3351688Z  * [new branch]              gh/ezyang/3177/orig         -> origin/gh/ezyang/3177/orig
2025-11-03T16:15:02.3352290Z  * [new branch]              gh/ezyang/3178/base         -> origin/gh/ezyang/3178/base
2025-11-03T16:15:02.3353028Z  * [new branch]              gh/ezyang/3178/head         -> origin/gh/ezyang/3178/head
2025-11-03T16:15:02.3353635Z  * [new branch]              gh/ezyang/3178/orig         -> origin/gh/ezyang/3178/orig
2025-11-03T16:15:02.3354985Z  * [new branch]              gh/ezyang/3179/base         -> origin/gh/ezyang/3179/base
2025-11-03T16:15:02.3355424Z  * [new branch]              gh/ezyang/3179/head         -> origin/gh/ezyang/3179/head
2025-11-03T16:15:02.3356429Z  * [new branch]              gh/ezyang/3179/orig         -> origin/gh/ezyang/3179/orig
2025-11-03T16:15:02.3357074Z  * [new branch]              gh/ezyang/3180/base         -> origin/gh/ezyang/3180/base
2025-11-03T16:15:02.3357702Z  * [new branch]              gh/ezyang/3180/head         -> origin/gh/ezyang/3180/head
2025-11-03T16:15:02.3358423Z  * [new branch]              gh/ezyang/3180/orig         -> origin/gh/ezyang/3180/orig
2025-11-03T16:15:02.3359389Z  * [new branch]              gh/ezyang/3181/base         -> origin/gh/ezyang/3181/base
2025-11-03T16:15:02.3360531Z  * [new branch]              gh/ezyang/3181/head         -> origin/gh/ezyang/3181/head
2025-11-03T16:15:02.3360902Z  * [new branch]              gh/ezyang/3181/orig         -> origin/gh/ezyang/3181/orig
2025-11-03T16:15:02.3362060Z  * [new branch]              gh/ezyang/3182/base         -> origin/gh/ezyang/3182/base
2025-11-03T16:15:02.3362452Z  * [new branch]              gh/ezyang/3182/head         -> origin/gh/ezyang/3182/head
2025-11-03T16:15:02.3363168Z  * [new branch]              gh/ezyang/3182/orig         -> origin/gh/ezyang/3182/orig
2025-11-03T16:15:02.3364221Z  * [new branch]              gh/ezyang/3183/base         -> origin/gh/ezyang/3183/base
2025-11-03T16:15:02.3364656Z  * [new branch]              gh/ezyang/3183/head         -> origin/gh/ezyang/3183/head
2025-11-03T16:15:02.3365384Z  * [new branch]              gh/ezyang/3183/orig         -> origin/gh/ezyang/3183/orig
2025-11-03T16:15:02.3366454Z  * [new branch]              gh/ezyang/3184/base         -> origin/gh/ezyang/3184/base
2025-11-03T16:15:02.3367023Z  * [new branch]              gh/ezyang/3184/head         -> origin/gh/ezyang/3184/head
2025-11-03T16:15:02.3367658Z  * [new branch]              gh/ezyang/3184/orig         -> origin/gh/ezyang/3184/orig
2025-11-03T16:15:02.3368696Z  * [new branch]              gh/ezyang/3185/base         -> origin/gh/ezyang/3185/base
2025-11-03T16:15:02.3369203Z  * [new branch]              gh/ezyang/3185/head         -> origin/gh/ezyang/3185/head
2025-11-03T16:15:02.3369897Z  * [new branch]              gh/ezyang/3185/orig         -> origin/gh/ezyang/3185/orig
2025-11-03T16:15:02.3370680Z  * [new branch]              gh/ezyang/3186/base         -> origin/gh/ezyang/3186/base
2025-11-03T16:15:02.3371259Z  * [new branch]              gh/ezyang/3186/head         -> origin/gh/ezyang/3186/head
2025-11-03T16:15:02.3371917Z  * [new branch]              gh/ezyang/3186/orig         -> origin/gh/ezyang/3186/orig
2025-11-03T16:15:02.3373017Z  * [new branch]              gh/ezyang/3187/base         -> origin/gh/ezyang/3187/base
2025-11-03T16:15:02.3373426Z  * [new branch]              gh/ezyang/3187/head         -> origin/gh/ezyang/3187/head
2025-11-03T16:15:02.3374071Z  * [new branch]              gh/ezyang/3187/orig         -> origin/gh/ezyang/3187/orig
2025-11-03T16:15:02.3375102Z  * [new branch]              gh/ezyang/3188/base         -> origin/gh/ezyang/3188/base
2025-11-03T16:15:02.3375737Z  * [new branch]              gh/ezyang/3188/head         -> origin/gh/ezyang/3188/head
2025-11-03T16:15:02.3376222Z  * [new branch]              gh/ezyang/3188/orig         -> origin/gh/ezyang/3188/orig
2025-11-03T16:15:02.3377334Z  * [new branch]              gh/ezyang/3189/base         -> origin/gh/ezyang/3189/base
2025-11-03T16:15:02.3377663Z  * [new branch]              gh/ezyang/3189/head         -> origin/gh/ezyang/3189/head
2025-11-03T16:15:02.3379597Z  * [new branch]              gh/ezyang/3189/orig         -> origin/gh/ezyang/3189/orig
2025-11-03T16:15:02.3379968Z  * [new branch]              gh/ezyang/3190/base         -> origin/gh/ezyang/3190/base
2025-11-03T16:15:02.3380286Z  * [new branch]              gh/ezyang/3190/head         -> origin/gh/ezyang/3190/head
2025-11-03T16:15:02.3380715Z  * [new branch]              gh/ezyang/3190/orig         -> origin/gh/ezyang/3190/orig
2025-11-03T16:15:02.3381763Z  * [new branch]              gh/fadara01/1/base          -> origin/gh/fadara01/1/base
2025-11-03T16:15:02.3382153Z  * [new branch]              gh/fadara01/1/head          -> origin/gh/fadara01/1/head
2025-11-03T16:15:02.3382783Z  * [new branch]              gh/fadara01/1/orig          -> origin/gh/fadara01/1/orig
2025-11-03T16:15:02.3384437Z  * [new branch]              gh/fadara01/2/base          -> origin/gh/fadara01/2/base
2025-11-03T16:15:02.3384806Z  * [new branch]              gh/fadara01/2/head          -> origin/gh/fadara01/2/head
2025-11-03T16:15:02.3388567Z  * [new branch]              gh/fadara01/2/orig          -> origin/gh/fadara01/2/orig
2025-11-03T16:15:02.3388917Z  * [new branch]              gh/fadara01/3/base          -> origin/gh/fadara01/3/base
2025-11-03T16:15:02.3389220Z  * [new branch]              gh/fadara01/3/head          -> origin/gh/fadara01/3/head
2025-11-03T16:15:02.3389510Z  * [new branch]              gh/fadara01/3/orig          -> origin/gh/fadara01/3/orig
2025-11-03T16:15:02.3391051Z  * [new branch]              gh/fadara01/4/base          -> origin/gh/fadara01/4/base
2025-11-03T16:15:02.3391461Z  * [new branch]              gh/fadara01/4/head          -> origin/gh/fadara01/4/head
2025-11-03T16:15:02.3391833Z  * [new branch]              gh/fadara01/4/orig          -> origin/gh/fadara01/4/orig
2025-11-03T16:15:02.3392216Z  * [new branch]              gh/fadara01/5/base          -> origin/gh/fadara01/5/base
2025-11-03T16:15:02.3392777Z  * [new branch]              gh/fadara01/5/head          -> origin/gh/fadara01/5/head
2025-11-03T16:15:02.3393193Z  * [new branch]              gh/fadara01/5/orig          -> origin/gh/fadara01/5/orig
2025-11-03T16:15:02.3393535Z  * [new branch]              gh/fadara01/6/base          -> origin/gh/fadara01/6/base
2025-11-03T16:15:02.3394004Z  * [new branch]              gh/fadara01/6/head          -> origin/gh/fadara01/6/head
2025-11-03T16:15:02.3394694Z  * [new branch]              gh/fadara01/6/orig          -> origin/gh/fadara01/6/orig
2025-11-03T16:15:02.3395752Z  * [new branch]              gh/fadara01/7/base          -> origin/gh/fadara01/7/base
2025-11-03T16:15:02.3396078Z  * [new branch]              gh/fadara01/7/head          -> origin/gh/fadara01/7/head
2025-11-03T16:15:02.3396913Z  * [new branch]              gh/fadara01/7/orig          -> origin/gh/fadara01/7/orig
2025-11-03T16:15:02.3398018Z  * [new branch]              gh/fduwjj/182/base          -> origin/gh/fduwjj/182/base
2025-11-03T16:15:02.3398811Z  * [new branch]              gh/fduwjj/182/head          -> origin/gh/fduwjj/182/head
2025-11-03T16:15:02.3399468Z  * [new branch]              gh/fduwjj/182/orig          -> origin/gh/fduwjj/182/orig
2025-11-03T16:15:02.3403981Z  * [new branch]              gh/fduwjj/185/base          -> origin/gh/fduwjj/185/base
2025-11-03T16:15:02.3404330Z  * [new branch]              gh/fduwjj/185/head          -> origin/gh/fduwjj/185/head
2025-11-03T16:15:02.3404644Z  * [new branch]              gh/fduwjj/185/orig          -> origin/gh/fduwjj/185/orig
2025-11-03T16:15:02.3404949Z  * [new branch]              gh/fduwjj/206/base          -> origin/gh/fduwjj/206/base
2025-11-03T16:15:02.3405399Z  * [new branch]              gh/fduwjj/206/head          -> origin/gh/fduwjj/206/head
2025-11-03T16:15:02.3405717Z  * [new branch]              gh/fduwjj/206/orig          -> origin/gh/fduwjj/206/orig
2025-11-03T16:15:02.3406175Z  * [new branch]              gh/fduwjj/211/base          -> origin/gh/fduwjj/211/base
2025-11-03T16:15:02.3406874Z  * [new branch]              gh/fduwjj/211/head          -> origin/gh/fduwjj/211/head
2025-11-03T16:15:02.3407244Z  * [new branch]              gh/fduwjj/211/orig          -> origin/gh/fduwjj/211/orig
2025-11-03T16:15:02.3407557Z  * [new branch]              gh/fduwjj/212/base          -> origin/gh/fduwjj/212/base
2025-11-03T16:15:02.3408018Z  * [new branch]              gh/fduwjj/212/head          -> origin/gh/fduwjj/212/head
2025-11-03T16:15:02.3408417Z  * [new branch]              gh/fduwjj/212/orig          -> origin/gh/fduwjj/212/orig
2025-11-03T16:15:02.3412530Z  * [new branch]              gh/fduwjj/213/base          -> origin/gh/fduwjj/213/base
2025-11-03T16:15:02.3413053Z  * [new branch]              gh/fduwjj/213/head          -> origin/gh/fduwjj/213/head
2025-11-03T16:15:02.3413491Z  * [new branch]              gh/fduwjj/213/orig          -> origin/gh/fduwjj/213/orig
2025-11-03T16:15:02.3414222Z  * [new branch]              gh/fduwjj/217/base          -> origin/gh/fduwjj/217/base
2025-11-03T16:15:02.3414762Z  * [new branch]              gh/fduwjj/217/head          -> origin/gh/fduwjj/217/head
2025-11-03T16:15:02.3415179Z  * [new branch]              gh/fduwjj/217/orig          -> origin/gh/fduwjj/217/orig
2025-11-03T16:15:02.3415501Z  * [new branch]              gh/fduwjj/219/base          -> origin/gh/fduwjj/219/base
2025-11-03T16:15:02.3415810Z  * [new branch]              gh/fduwjj/219/head          -> origin/gh/fduwjj/219/head
2025-11-03T16:15:02.3416110Z  * [new branch]              gh/fduwjj/219/orig          -> origin/gh/fduwjj/219/orig
2025-11-03T16:15:02.3416402Z  * [new branch]              gh/fduwjj/220/base          -> origin/gh/fduwjj/220/base
2025-11-03T16:15:02.3416855Z  * [new branch]              gh/fduwjj/220/head          -> origin/gh/fduwjj/220/head
2025-11-03T16:15:02.3417444Z  * [new branch]              gh/fduwjj/220/orig          -> origin/gh/fduwjj/220/orig
2025-11-03T16:15:02.3421829Z  * [new branch]              gh/fduwjj/221/base          -> origin/gh/fduwjj/221/base
2025-11-03T16:15:02.3424177Z  * [new branch]              gh/fduwjj/221/head          -> origin/gh/fduwjj/221/head
2025-11-03T16:15:02.3428337Z  * [new branch]              gh/fduwjj/221/orig          -> origin/gh/fduwjj/221/orig
2025-11-03T16:15:02.3428846Z  * [new branch]              gh/fduwjj/222/base          -> origin/gh/fduwjj/222/base
2025-11-03T16:15:02.3429272Z  * [new branch]              gh/fduwjj/222/head          -> origin/gh/fduwjj/222/head
2025-11-03T16:15:02.3429689Z  * [new branch]              gh/fduwjj/222/orig          -> origin/gh/fduwjj/222/orig
2025-11-03T16:15:02.3429997Z  * [new branch]              gh/fduwjj/223/base          -> origin/gh/fduwjj/223/base
2025-11-03T16:15:02.3430326Z  * [new branch]              gh/fduwjj/223/head          -> origin/gh/fduwjj/223/head
2025-11-03T16:15:02.3430625Z  * [new branch]              gh/fduwjj/223/orig          -> origin/gh/fduwjj/223/orig
2025-11-03T16:15:02.3430918Z  * [new branch]              gh/fduwjj/224/base          -> origin/gh/fduwjj/224/base
2025-11-03T16:15:02.3431222Z  * [new branch]              gh/fduwjj/224/head          -> origin/gh/fduwjj/224/head
2025-11-03T16:15:02.3431523Z  * [new branch]              gh/fduwjj/224/orig          -> origin/gh/fduwjj/224/orig
2025-11-03T16:15:02.3431822Z  * [new branch]              gh/fduwjj/225/base          -> origin/gh/fduwjj/225/base
2025-11-03T16:15:02.3432119Z  * [new branch]              gh/fduwjj/225/head          -> origin/gh/fduwjj/225/head
2025-11-03T16:15:02.3432405Z  * [new branch]              gh/fduwjj/225/orig          -> origin/gh/fduwjj/225/orig
2025-11-03T16:15:02.3432702Z  * [new branch]              gh/fduwjj/226/base          -> origin/gh/fduwjj/226/base
2025-11-03T16:15:02.3433289Z  * [new branch]              gh/fduwjj/226/head          -> origin/gh/fduwjj/226/head
2025-11-03T16:15:02.3433611Z  * [new branch]              gh/fduwjj/226/orig          -> origin/gh/fduwjj/226/orig
2025-11-03T16:15:02.3433911Z  * [new branch]              gh/fduwjj/227/base          -> origin/gh/fduwjj/227/base
2025-11-03T16:15:02.3434223Z  * [new branch]              gh/fduwjj/227/head          -> origin/gh/fduwjj/227/head
2025-11-03T16:15:02.3434524Z  * [new branch]              gh/fduwjj/227/orig          -> origin/gh/fduwjj/227/orig
2025-11-03T16:15:02.3434832Z  * [new branch]              gh/fduwjj/228/base          -> origin/gh/fduwjj/228/base
2025-11-03T16:15:02.3435150Z  * [new branch]              gh/fduwjj/228/head          -> origin/gh/fduwjj/228/head
2025-11-03T16:15:02.3435630Z  * [new branch]              gh/fduwjj/228/orig          -> origin/gh/fduwjj/228/orig
2025-11-03T16:15:02.3437424Z  * [new branch]              gh/fduwjj/229/base          -> origin/gh/fduwjj/229/base
2025-11-03T16:15:02.3437819Z  * [new branch]              gh/fduwjj/229/head          -> origin/gh/fduwjj/229/head
2025-11-03T16:15:02.3438639Z  * [new branch]              gh/fduwjj/229/orig          -> origin/gh/fduwjj/229/orig
2025-11-03T16:15:02.3442860Z  * [new branch]              gh/fduwjj/230/base          -> origin/gh/fduwjj/230/base
2025-11-03T16:15:02.3447061Z  * [new branch]              gh/fduwjj/230/head          -> origin/gh/fduwjj/230/head
2025-11-03T16:15:02.3447435Z  * [new branch]              gh/fduwjj/230/orig          -> origin/gh/fduwjj/230/orig
2025-11-03T16:15:02.3447745Z  * [new branch]              gh/fduwjj/231/base          -> origin/gh/fduwjj/231/base
2025-11-03T16:15:02.3448053Z  * [new branch]              gh/fduwjj/231/head          -> origin/gh/fduwjj/231/head
2025-11-03T16:15:02.3448391Z  * [new branch]              gh/fduwjj/231/orig          -> origin/gh/fduwjj/231/orig
2025-11-03T16:15:02.3448700Z  * [new branch]              gh/fduwjj/232/base          -> origin/gh/fduwjj/232/base
2025-11-03T16:15:02.3449049Z  * [new branch]              gh/fduwjj/232/head          -> origin/gh/fduwjj/232/head
2025-11-03T16:15:02.3449355Z  * [new branch]              gh/fduwjj/232/orig          -> origin/gh/fduwjj/232/orig
2025-11-03T16:15:02.3449813Z  * [new branch]              gh/fduwjj/233/base          -> origin/gh/fduwjj/233/base
2025-11-03T16:15:02.3450129Z  * [new branch]              gh/fduwjj/233/head          -> origin/gh/fduwjj/233/head
2025-11-03T16:15:02.3450445Z  * [new branch]              gh/fduwjj/233/orig          -> origin/gh/fduwjj/233/orig
2025-11-03T16:15:02.3450757Z  * [new branch]              gh/fegin/318/base           -> origin/gh/fegin/318/base
2025-11-03T16:15:02.3451062Z  * [new branch]              gh/fegin/318/head           -> origin/gh/fegin/318/head
2025-11-03T16:15:02.3451357Z  * [new branch]              gh/fegin/318/orig           -> origin/gh/fegin/318/orig
2025-11-03T16:15:02.3490705Z  * [new branch]              gh/fegin/321/base           -> origin/gh/fegin/321/base
2025-11-03T16:15:02.3491209Z  * [new branch]              gh/fegin/321/head           -> origin/gh/fegin/321/head
2025-11-03T16:15:02.3491653Z  * [new branch]              gh/fegin/321/orig           -> origin/gh/fegin/321/orig
2025-11-03T16:15:02.3492015Z  * [new branch]              gh/fegin/325/base           -> origin/gh/fegin/325/base
2025-11-03T16:15:02.3492343Z  * [new branch]              gh/fegin/325/head           -> origin/gh/fegin/325/head
2025-11-03T16:15:02.3492639Z  * [new branch]              gh/fegin/325/orig           -> origin/gh/fegin/325/orig
2025-11-03T16:15:02.3492768Z  * [new branch]              gh/fegin/326/base           -> origin/gh/fegin/326/base
2025-11-03T16:15:02.3492887Z  * [new branch]              gh/fegin/326/head           -> origin/gh/fegin/326/head
2025-11-03T16:15:02.3493015Z  * [new branch]              gh/fegin/326/orig           -> origin/gh/fegin/326/orig
2025-11-03T16:15:02.3493136Z  * [new branch]              gh/fegin/327/base           -> origin/gh/fegin/327/base
2025-11-03T16:15:02.3493421Z  * [new branch]              gh/fegin/327/head           -> origin/gh/fegin/327/head
2025-11-03T16:15:02.3493553Z  * [new branch]              gh/fegin/327/orig           -> origin/gh/fegin/327/orig
2025-11-03T16:15:02.3493678Z  * [new branch]              gh/fegin/328/base           -> origin/gh/fegin/328/base
2025-11-03T16:15:02.3493810Z  * [new branch]              gh/fegin/328/head           -> origin/gh/fegin/328/head
2025-11-03T16:15:02.3493930Z  * [new branch]              gh/fegin/328/orig           -> origin/gh/fegin/328/orig
2025-11-03T16:15:02.3494060Z  * [new branch]              gh/fegin/329/base           -> origin/gh/fegin/329/base
2025-11-03T16:15:02.3494184Z  * [new branch]              gh/fegin/329/head           -> origin/gh/fegin/329/head
2025-11-03T16:15:02.3494309Z  * [new branch]              gh/fegin/329/orig           -> origin/gh/fegin/329/orig
2025-11-03T16:15:02.3494437Z  * [new branch]              gh/fegin/330/base           -> origin/gh/fegin/330/base
2025-11-03T16:15:02.3494559Z  * [new branch]              gh/fegin/330/head           -> origin/gh/fegin/330/head
2025-11-03T16:15:02.3494691Z  * [new branch]              gh/fegin/330/orig           -> origin/gh/fegin/330/orig
2025-11-03T16:15:02.3494816Z  * [new branch]              gh/fegin/331/base           -> origin/gh/fegin/331/base
2025-11-03T16:15:02.3494946Z  * [new branch]              gh/fegin/331/head           -> origin/gh/fegin/331/head
2025-11-03T16:15:02.3495067Z  * [new branch]              gh/fegin/331/orig           -> origin/gh/fegin/331/orig
2025-11-03T16:15:02.3495201Z  * [new branch]              gh/fffrog/137/base          -> origin/gh/fffrog/137/base
2025-11-03T16:15:02.3495338Z  * [new branch]              gh/fffrog/137/head          -> origin/gh/fffrog/137/head
2025-11-03T16:15:02.3495463Z  * [new branch]              gh/fffrog/137/orig          -> origin/gh/fffrog/137/orig
2025-11-03T16:15:02.3495596Z  * [new branch]              gh/fffrog/160/base          -> origin/gh/fffrog/160/base
2025-11-03T16:15:02.3495724Z  * [new branch]              gh/fffrog/160/head          -> origin/gh/fffrog/160/head
2025-11-03T16:15:02.3495847Z  * [new branch]              gh/fffrog/171/base          -> origin/gh/fffrog/171/base
2025-11-03T16:15:02.3496061Z  * [new branch]              gh/fffrog/171/head          -> origin/gh/fffrog/171/head
2025-11-03T16:15:02.3496209Z  * [new branch]              gh/fffrog/171/orig          -> origin/gh/fffrog/171/orig
2025-11-03T16:15:02.3496337Z  * [new branch]              gh/fffrog/175/base          -> origin/gh/fffrog/175/base
2025-11-03T16:15:02.3496456Z  * [new branch]              gh/fffrog/175/head          -> origin/gh/fffrog/175/head
2025-11-03T16:15:02.3496584Z  * [new branch]              gh/fffrog/175/orig          -> origin/gh/fffrog/175/orig
2025-11-03T16:15:02.3496701Z  * [new branch]              gh/fffrog/176/base          -> origin/gh/fffrog/176/base
2025-11-03T16:15:02.3496820Z  * [new branch]              gh/fffrog/176/head          -> origin/gh/fffrog/176/head
2025-11-03T16:15:02.3496952Z  * [new branch]              gh/fffrog/176/orig          -> origin/gh/fffrog/176/orig
2025-11-03T16:15:02.3497073Z  * [new branch]              gh/fffrog/177/base          -> origin/gh/fffrog/177/base
2025-11-03T16:15:02.3497204Z  * [new branch]              gh/fffrog/177/head          -> origin/gh/fffrog/177/head
2025-11-03T16:15:02.3497324Z  * [new branch]              gh/fffrog/177/orig          -> origin/gh/fffrog/177/orig
2025-11-03T16:15:02.3497453Z  * [new branch]              gh/fffrog/178/base          -> origin/gh/fffrog/178/base
2025-11-03T16:15:02.3497574Z  * [new branch]              gh/fffrog/178/head          -> origin/gh/fffrog/178/head
2025-11-03T16:15:02.3497696Z  * [new branch]              gh/fffrog/178/orig          -> origin/gh/fffrog/178/orig
2025-11-03T16:15:02.3497825Z  * [new branch]              gh/fffrog/179/base          -> origin/gh/fffrog/179/base
2025-11-03T16:15:02.3498007Z  * [new branch]              gh/fffrog/179/head          -> origin/gh/fffrog/179/head
2025-11-03T16:15:02.3498140Z  * [new branch]              gh/fffrog/179/orig          -> origin/gh/fffrog/179/orig
2025-11-03T16:15:02.3498263Z  * [new branch]              gh/fffrog/180/base          -> origin/gh/fffrog/180/base
2025-11-03T16:15:02.3498387Z  * [new branch]              gh/fffrog/180/head          -> origin/gh/fffrog/180/head
2025-11-03T16:15:02.3498516Z  * [new branch]              gh/fffrog/180/orig          -> origin/gh/fffrog/180/orig
2025-11-03T16:15:02.3498637Z  * [new branch]              gh/fffrog/181/base          -> origin/gh/fffrog/181/base
2025-11-03T16:15:02.3498764Z  * [new branch]              gh/fffrog/181/head          -> origin/gh/fffrog/181/head
2025-11-03T16:15:02.3498884Z  * [new branch]              gh/fffrog/181/orig          -> origin/gh/fffrog/181/orig
2025-11-03T16:15:02.3499011Z  * [new branch]              gh/fffrog/182/base          -> origin/gh/fffrog/182/base
2025-11-03T16:15:02.3499134Z  * [new branch]              gh/fffrog/182/head          -> origin/gh/fffrog/182/head
2025-11-03T16:15:02.3499265Z  * [new branch]              gh/fffrog/182/orig          -> origin/gh/fffrog/182/orig
2025-11-03T16:15:02.3499415Z  * [new branch]              gh/fxdawnn/1/base           -> origin/gh/fxdawnn/1/base
2025-11-03T16:15:02.3499544Z  * [new branch]              gh/fxdawnn/1/head           -> origin/gh/fxdawnn/1/head
2025-11-03T16:15:02.3499668Z  * [new branch]              gh/fxdawnn/1/orig           -> origin/gh/fxdawnn/1/orig
2025-11-03T16:15:02.3499784Z  * [new branch]              gh/fxdawnn/2/base           -> origin/gh/fxdawnn/2/base
2025-11-03T16:15:02.3499909Z  * [new branch]              gh/fxdawnn/2/head           -> origin/gh/fxdawnn/2/head
2025-11-03T16:15:02.3500026Z  * [new branch]              gh/fxdawnn/2/orig           -> origin/gh/fxdawnn/2/orig
2025-11-03T16:15:02.3500143Z  * [new branch]              gh/fxdawnn/3/base           -> origin/gh/fxdawnn/3/base
2025-11-03T16:15:02.3500272Z  * [new branch]              gh/fxdawnn/3/head           -> origin/gh/fxdawnn/3/head
2025-11-03T16:15:02.3500391Z  * [new branch]              gh/fxdawnn/3/orig           -> origin/gh/fxdawnn/3/orig
2025-11-03T16:15:02.3500518Z  * [new branch]              gh/fxdawnn/4/base           -> origin/gh/fxdawnn/4/base
2025-11-03T16:15:02.3500669Z  * [new branch]              gh/fxdawnn/4/orig           -> origin/gh/fxdawnn/4/orig
2025-11-03T16:15:02.3500827Z  * [new branch]              gh/fxdawnn/5/base           -> origin/gh/fxdawnn/5/base
2025-11-03T16:15:02.3501550Z  * [new branch]              gh/fxdawnn/5/head           -> origin/gh/fxdawnn/5/head
2025-11-03T16:15:02.3504594Z  * [new branch]              gh/fxdawnn/5/orig           -> origin/gh/fxdawnn/5/orig
2025-11-03T16:15:02.3509482Z  * [new branch]              gh/fxdawnn/6/base           -> origin/gh/fxdawnn/6/base
2025-11-03T16:15:02.3511581Z  * [new branch]              gh/fxdawnn/6/head           -> origin/gh/fxdawnn/6/head
2025-11-03T16:15:02.3511769Z  * [new branch]              gh/fxdawnn/6/orig           -> origin/gh/fxdawnn/6/orig
2025-11-03T16:15:02.3511916Z  * [new branch]              gh/fxdawnn/7/base           -> origin/gh/fxdawnn/7/base
2025-11-03T16:15:02.3512068Z  * [new branch]              gh/fxdawnn/7/head           -> origin/gh/fxdawnn/7/head
2025-11-03T16:15:02.3512198Z  * [new branch]              gh/fxdawnn/7/orig           -> origin/gh/fxdawnn/7/orig
2025-11-03T16:15:02.3512367Z  * [new branch]              gh/gmagogsfm/2/base         -> origin/gh/gmagogsfm/2/base
2025-11-03T16:15:02.3512520Z  * [new branch]              gh/gmagogsfm/2/head         -> origin/gh/gmagogsfm/2/head
2025-11-03T16:15:02.3512670Z  * [new branch]              gh/gmagogsfm/2/orig         -> origin/gh/gmagogsfm/2/orig
2025-11-03T16:15:02.3512810Z  * [new branch]              gh/gmagogsfm/3/base         -> origin/gh/gmagogsfm/3/base
2025-11-03T16:15:02.3512958Z  * [new branch]              gh/gmagogsfm/3/head         -> origin/gh/gmagogsfm/3/head
2025-11-03T16:15:02.3513260Z  * [new branch]              gh/gmagogsfm/3/orig         -> origin/gh/gmagogsfm/3/orig
2025-11-03T16:15:02.3514940Z  * [new branch]              gh/guangyey/134/base        -> origin/gh/guangyey/134/base
2025-11-03T16:15:02.3515564Z  * [new branch]              gh/guangyey/134/head        -> origin/gh/guangyey/134/head
2025-11-03T16:15:02.3515751Z  * [new branch]              gh/guangyey/134/orig        -> origin/gh/guangyey/134/orig
2025-11-03T16:15:02.3515894Z  * [new branch]              gh/guangyey/163/base        -> origin/gh/guangyey/163/base
2025-11-03T16:15:02.3516027Z  * [new branch]              gh/guangyey/163/head        -> origin/gh/guangyey/163/head
2025-11-03T16:15:02.3516169Z  * [new branch]              gh/guangyey/163/orig        -> origin/gh/guangyey/163/orig
2025-11-03T16:15:02.3516391Z  * [new branch]              gh/guangyey/168/base        -> origin/gh/guangyey/168/base
2025-11-03T16:15:02.3517405Z  * [new branch]              gh/guangyey/168/head        -> origin/gh/guangyey/168/head
2025-11-03T16:15:02.3517781Z  * [new branch]              gh/guangyey/168/orig        -> origin/gh/guangyey/168/orig
2025-11-03T16:15:02.3525116Z  * [new branch]              gh/guangyey/169/base        -> origin/gh/guangyey/169/base
2025-11-03T16:15:02.3529930Z  * [new branch]              gh/guangyey/169/head        -> origin/gh/guangyey/169/head
2025-11-03T16:15:02.3534618Z  * [new branch]              gh/guangyey/169/orig        -> origin/gh/guangyey/169/orig
2025-11-03T16:15:02.3539863Z  * [new branch]              gh/guangyey/170/base        -> origin/gh/guangyey/170/base
2025-11-03T16:15:02.3542099Z  * [new branch]              gh/guangyey/170/head        -> origin/gh/guangyey/170/head
2025-11-03T16:15:02.3542341Z  * [new branch]              gh/guangyey/170/orig        -> origin/gh/guangyey/170/orig
2025-11-03T16:15:02.3548053Z  * [new branch]              gh/guangyey/171/base        -> origin/gh/guangyey/171/base
2025-11-03T16:15:02.3552640Z  * [new branch]              gh/guangyey/171/head        -> origin/gh/guangyey/171/head
2025-11-03T16:15:02.3555033Z  * [new branch]              gh/guangyey/171/orig        -> origin/gh/guangyey/171/orig
2025-11-03T16:15:02.3555206Z  * [new branch]              gh/guangyey/176/base        -> origin/gh/guangyey/176/base
2025-11-03T16:15:02.3555490Z  * [new branch]              gh/guangyey/176/head        -> origin/gh/guangyey/176/head
2025-11-03T16:15:02.3555622Z  * [new branch]              gh/guangyey/176/orig        -> origin/gh/guangyey/176/orig
2025-11-03T16:15:02.3555759Z  * [new branch]              gh/guangyey/178/base        -> origin/gh/guangyey/178/base
2025-11-03T16:15:02.3555886Z  * [new branch]              gh/guangyey/178/head        -> origin/gh/guangyey/178/head
2025-11-03T16:15:02.3556025Z  * [new branch]              gh/guangyey/178/orig        -> origin/gh/guangyey/178/orig
2025-11-03T16:15:02.3556153Z  * [new branch]              gh/guangyey/181/base        -> origin/gh/guangyey/181/base
2025-11-03T16:15:02.3556282Z  * [new branch]              gh/guangyey/181/head        -> origin/gh/guangyey/181/head
2025-11-03T16:15:02.3556414Z  * [new branch]              gh/guangyey/181/orig        -> origin/gh/guangyey/181/orig
2025-11-03T16:15:02.3556544Z  * [new branch]              gh/guangyey/182/base        -> origin/gh/guangyey/182/base
2025-11-03T16:15:02.3556681Z  * [new branch]              gh/guangyey/182/head        -> origin/gh/guangyey/182/head
2025-11-03T16:15:02.3556807Z  * [new branch]              gh/guangyey/182/orig        -> origin/gh/guangyey/182/orig
2025-11-03T16:15:02.3556936Z  * [new branch]              gh/guangyey/183/base        -> origin/gh/guangyey/183/base
2025-11-03T16:15:02.3557076Z  * [new branch]              gh/guangyey/183/head        -> origin/gh/guangyey/183/head
2025-11-03T16:15:02.3557206Z  * [new branch]              gh/guangyey/183/orig        -> origin/gh/guangyey/183/orig
2025-11-03T16:15:02.3557346Z  * [new branch]              gh/guangyey/185/base        -> origin/gh/guangyey/185/base
2025-11-03T16:15:02.3557512Z  * [new branch]              gh/guangyey/185/head        -> origin/gh/guangyey/185/head
2025-11-03T16:15:02.3557647Z  * [new branch]              gh/guangyey/185/orig        -> origin/gh/guangyey/185/orig
2025-11-03T16:15:02.3557774Z  * [new branch]              gh/guangyey/186/base        -> origin/gh/guangyey/186/base
2025-11-03T16:15:02.3557900Z  * [new branch]              gh/guangyey/186/head        -> origin/gh/guangyey/186/head
2025-11-03T16:15:02.3558035Z  * [new branch]              gh/guangyey/186/orig        -> origin/gh/guangyey/186/orig
2025-11-03T16:15:02.3558162Z  * [new branch]              gh/guangyey/187/base        -> origin/gh/guangyey/187/base
2025-11-03T16:15:02.3558419Z  * [new branch]              gh/guangyey/187/head        -> origin/gh/guangyey/187/head
2025-11-03T16:15:02.3558553Z  * [new branch]              gh/guangyey/187/orig        -> origin/gh/guangyey/187/orig
2025-11-03T16:15:02.3558684Z  * [new branch]              gh/guangyey/188/base        -> origin/gh/guangyey/188/base
2025-11-03T16:15:02.3558827Z  * [new branch]              gh/guangyey/188/head        -> origin/gh/guangyey/188/head
2025-11-03T16:15:02.3558957Z  * [new branch]              gh/guangyey/188/orig        -> origin/gh/guangyey/188/orig
2025-11-03T16:15:02.3559097Z  * [new branch]              gh/guangyey/190/base        -> origin/gh/guangyey/190/base
2025-11-03T16:15:02.3559228Z  * [new branch]              gh/guangyey/190/head        -> origin/gh/guangyey/190/head
2025-11-03T16:15:02.3559369Z  * [new branch]              gh/guangyey/190/orig        -> origin/gh/guangyey/190/orig
2025-11-03T16:15:02.3559500Z  * [new branch]              gh/guangyey/195/base        -> origin/gh/guangyey/195/base
2025-11-03T16:15:02.3559631Z  * [new branch]              gh/guangyey/195/head        -> origin/gh/guangyey/195/head
2025-11-03T16:15:02.3559771Z  * [new branch]              gh/guangyey/195/orig        -> origin/gh/guangyey/195/orig
2025-11-03T16:15:02.3559903Z  * [new branch]              gh/guangyey/208/base        -> origin/gh/guangyey/208/base
2025-11-03T16:15:02.3560044Z  * [new branch]              gh/guangyey/208/head        -> origin/gh/guangyey/208/head
2025-11-03T16:15:02.3560177Z  * [new branch]              gh/guangyey/208/orig        -> origin/gh/guangyey/208/orig
2025-11-03T16:15:02.3560353Z  * [new branch]              gh/guangyey/210/base        -> origin/gh/guangyey/210/base
2025-11-03T16:15:02.3560486Z  * [new branch]              gh/guangyey/210/head        -> origin/gh/guangyey/210/head
2025-11-03T16:15:02.3560617Z  * [new branch]              gh/guangyey/210/orig        -> origin/gh/guangyey/210/orig
2025-11-03T16:15:02.3560759Z  * [new branch]              gh/guangyey/212/base        -> origin/gh/guangyey/212/base
2025-11-03T16:15:02.3560892Z  * [new branch]              gh/guangyey/212/head        -> origin/gh/guangyey/212/head
2025-11-03T16:15:02.3561030Z  * [new branch]              gh/guangyey/212/orig        -> origin/gh/guangyey/212/orig
2025-11-03T16:15:02.3561170Z  * [new branch]              gh/guangyey/213/base        -> origin/gh/guangyey/213/base
2025-11-03T16:15:02.3561304Z  * [new branch]              gh/guangyey/213/head        -> origin/gh/guangyey/213/head
2025-11-03T16:15:02.3561444Z  * [new branch]              gh/guangyey/213/orig        -> origin/gh/guangyey/213/orig
2025-11-03T16:15:02.3561581Z  * [new branch]              gh/guangyey/214/base        -> origin/gh/guangyey/214/base
2025-11-03T16:15:02.3561720Z  * [new branch]              gh/guangyey/214/head        -> origin/gh/guangyey/214/head
2025-11-03T16:15:02.3562087Z  * [new branch]              gh/guangyey/214/orig        -> origin/gh/guangyey/214/orig
2025-11-03T16:15:02.3562229Z  * [new branch]              gh/guangyey/215/base        -> origin/gh/guangyey/215/base
2025-11-03T16:15:02.3562362Z  * [new branch]              gh/guangyey/215/head        -> origin/gh/guangyey/215/head
2025-11-03T16:15:02.3562494Z  * [new branch]              gh/guangyey/215/orig        -> origin/gh/guangyey/215/orig
2025-11-03T16:15:02.3562699Z  * [new branch]              gh/guangyey/216/base        -> origin/gh/guangyey/216/base
2025-11-03T16:15:02.3566177Z  * [new branch]              gh/guangyey/216/head        -> origin/gh/guangyey/216/head
2025-11-03T16:15:02.3566456Z  * [new branch]              gh/guangyey/216/orig        -> origin/gh/guangyey/216/orig
2025-11-03T16:15:02.3571211Z  * [new branch]              gh/guangyey/217/base        -> origin/gh/guangyey/217/base
2025-11-03T16:15:02.3576279Z  * [new branch]              gh/guangyey/217/head        -> origin/gh/guangyey/217/head
2025-11-03T16:15:02.3580937Z  * [new branch]              gh/guangyey/217/orig        -> origin/gh/guangyey/217/orig
2025-11-03T16:15:02.3585631Z  * [new branch]              gh/guangyey/218/base        -> origin/gh/guangyey/218/base
2025-11-03T16:15:02.3587653Z  * [new branch]              gh/guangyey/218/head        -> origin/gh/guangyey/218/head
2025-11-03T16:15:02.3587909Z  * [new branch]              gh/guangyey/218/orig        -> origin/gh/guangyey/218/orig
2025-11-03T16:15:02.3592739Z  * [new branch]              gh/guangyey/219/base        -> origin/gh/guangyey/219/base
2025-11-03T16:15:02.3593063Z  * [new branch]              gh/guangyey/219/head        -> origin/gh/guangyey/219/head
2025-11-03T16:15:02.3593245Z  * [new branch]              gh/guangyey/219/orig        -> origin/gh/guangyey/219/orig
2025-11-03T16:15:02.3593456Z  * [new branch]              gh/guangyey/220/base        -> origin/gh/guangyey/220/base
2025-11-03T16:15:02.3593624Z  * [new branch]              gh/guangyey/220/head        -> origin/gh/guangyey/220/head
2025-11-03T16:15:02.3593755Z  * [new branch]              gh/guangyey/220/orig        -> origin/gh/guangyey/220/orig
2025-11-03T16:15:02.3594023Z  * [new branch]              gh/guangyey/221/base        -> origin/gh/guangyey/221/base
2025-11-03T16:15:02.3594630Z  * [new branch]              gh/guangyey/221/head        -> origin/gh/guangyey/221/head
2025-11-03T16:15:02.3594820Z  * [new branch]              gh/guangyey/221/orig        -> origin/gh/guangyey/221/orig
2025-11-03T16:15:02.3594973Z  * [new branch]              gh/guangyey/222/base        -> origin/gh/guangyey/222/base
2025-11-03T16:15:02.3595118Z  * [new branch]              gh/guangyey/222/head        -> origin/gh/guangyey/222/head
2025-11-03T16:15:02.3595458Z  * [new branch]              gh/guangyey/222/orig        -> origin/gh/guangyey/222/orig
2025-11-03T16:15:02.3595592Z  * [new branch]              gh/guangyey/223/base        -> origin/gh/guangyey/223/base
2025-11-03T16:15:02.3595738Z  * [new branch]              gh/guangyey/223/head        -> origin/gh/guangyey/223/head
2025-11-03T16:15:02.3595872Z  * [new branch]              gh/guangyey/223/orig        -> origin/gh/guangyey/223/orig
2025-11-03T16:15:02.3596011Z  * [new branch]              gh/guangyey/224/base        -> origin/gh/guangyey/224/base
2025-11-03T16:15:02.3596140Z  * [new branch]              gh/guangyey/224/head        -> origin/gh/guangyey/224/head
2025-11-03T16:15:02.3596279Z  * [new branch]              gh/guangyey/224/orig        -> origin/gh/guangyey/224/orig
2025-11-03T16:15:02.3596407Z  * [new branch]              gh/guangyey/225/base        -> origin/gh/guangyey/225/base
2025-11-03T16:15:02.3596536Z  * [new branch]              gh/guangyey/225/head        -> origin/gh/guangyey/225/head
2025-11-03T16:15:02.3596675Z  * [new branch]              gh/guangyey/225/orig        -> origin/gh/guangyey/225/orig
2025-11-03T16:15:02.3596806Z  * [new branch]              gh/guangyey/226/base        -> origin/gh/guangyey/226/base
2025-11-03T16:15:02.3596945Z  * [new branch]              gh/guangyey/226/head        -> origin/gh/guangyey/226/head
2025-11-03T16:15:02.3597075Z  * [new branch]              gh/guangyey/226/orig        -> origin/gh/guangyey/226/orig
2025-11-03T16:15:02.3597202Z  * [new branch]              gh/guangyey/227/base        -> origin/gh/guangyey/227/base
2025-11-03T16:15:02.3597338Z  * [new branch]              gh/guangyey/227/head        -> origin/gh/guangyey/227/head
2025-11-03T16:15:02.3597526Z  * [new branch]              gh/guangyey/227/orig        -> origin/gh/guangyey/227/orig
2025-11-03T16:15:02.3597666Z  * [new branch]              gh/guangyey/228/base        -> origin/gh/guangyey/228/base
2025-11-03T16:15:02.3597795Z  * [new branch]              gh/guangyey/228/head        -> origin/gh/guangyey/228/head
2025-11-03T16:15:02.3597934Z  * [new branch]              gh/guangyey/228/orig        -> origin/gh/guangyey/228/orig
2025-11-03T16:15:02.3598063Z  * [new branch]              gh/guangyey/229/base        -> origin/gh/guangyey/229/base
2025-11-03T16:15:02.3598308Z  * [new branch]              gh/guangyey/229/head        -> origin/gh/guangyey/229/head
2025-11-03T16:15:02.3598459Z  * [new branch]              gh/guangyey/229/orig        -> origin/gh/guangyey/229/orig
2025-11-03T16:15:02.3598590Z  * [new branch]              gh/guangyey/230/base        -> origin/gh/guangyey/230/base
2025-11-03T16:15:02.3598737Z  * [new branch]              gh/guangyey/230/head        -> origin/gh/guangyey/230/head
2025-11-03T16:15:02.3598880Z  * [new branch]              gh/guangyey/230/orig        -> origin/gh/guangyey/230/orig
2025-11-03T16:15:02.3599024Z  * [new branch]              gh/guangyey/231/base        -> origin/gh/guangyey/231/base
2025-11-03T16:15:02.3599229Z  * [new branch]              gh/guangyey/231/head        -> origin/gh/guangyey/231/head
2025-11-03T16:15:02.3599366Z  * [new branch]              gh/guangyey/231/orig        -> origin/gh/guangyey/231/orig
2025-11-03T16:15:02.3599507Z  * [new branch]              gh/guangyey/232/base        -> origin/gh/guangyey/232/base
2025-11-03T16:15:02.3599641Z  * [new branch]              gh/guangyey/232/head        -> origin/gh/guangyey/232/head
2025-11-03T16:15:02.3599783Z  * [new branch]              gh/guangyey/232/orig        -> origin/gh/guangyey/232/orig
2025-11-03T16:15:02.3600085Z  * [new branch]              gh/guangyey/233/base        -> origin/gh/guangyey/233/base
2025-11-03T16:15:02.3600376Z  * [new branch]              gh/guangyey/233/head        -> origin/gh/guangyey/233/head
2025-11-03T16:15:02.3600653Z  * [new branch]              gh/guangyey/233/orig        -> origin/gh/guangyey/233/orig
2025-11-03T16:15:02.3602253Z  * [new branch]              gh/guangyey/234/base        -> origin/gh/guangyey/234/base
2025-11-03T16:15:02.3602735Z  * [new branch]              gh/guangyey/234/head        -> origin/gh/guangyey/234/head
2025-11-03T16:15:02.3602898Z  * [new branch]              gh/guangyey/234/orig        -> origin/gh/guangyey/234/orig
2025-11-03T16:15:02.3604831Z  * [new branch]              gh/guangyey/235/base        -> origin/gh/guangyey/235/base
2025-11-03T16:15:02.3605150Z  * [new branch]              gh/guangyey/235/head        -> origin/gh/guangyey/235/head
2025-11-03T16:15:02.3605306Z  * [new branch]              gh/guangyey/235/orig        -> origin/gh/guangyey/235/orig
2025-11-03T16:15:02.3607591Z  * [new branch]              gh/guilhermeleobas/107/base -> origin/gh/guilhermeleobas/107/base
2025-11-03T16:15:02.3607936Z  * [new branch]              gh/guilhermeleobas/107/head -> origin/gh/guilhermeleobas/107/head
2025-11-03T16:15:02.3608125Z  * [new branch]              gh/guilhermeleobas/107/orig -> origin/gh/guilhermeleobas/107/orig
2025-11-03T16:15:02.3608327Z  * [new branch]              gh/guilhermeleobas/108/base -> origin/gh/guilhermeleobas/108/base
2025-11-03T16:15:02.3610627Z  * [new branch]              gh/guilhermeleobas/108/head -> origin/gh/guilhermeleobas/108/head
2025-11-03T16:15:02.3610918Z  * [new branch]              gh/guilhermeleobas/108/orig -> origin/gh/guilhermeleobas/108/orig
2025-11-03T16:15:02.3615181Z  * [new branch]              gh/guilhermeleobas/147/base -> origin/gh/guilhermeleobas/147/base
2025-11-03T16:15:02.3615452Z  * [new branch]              gh/guilhermeleobas/147/head -> origin/gh/guilhermeleobas/147/head
2025-11-03T16:15:02.3615779Z  * [new branch]              gh/guilhermeleobas/147/orig -> origin/gh/guilhermeleobas/147/orig
2025-11-03T16:15:02.3615954Z  * [new branch]              gh/guilhermeleobas/150/base -> origin/gh/guilhermeleobas/150/base
2025-11-03T16:15:02.3616245Z  * [new branch]              gh/guilhermeleobas/150/head -> origin/gh/guilhermeleobas/150/head
2025-11-03T16:15:02.3616483Z  * [new branch]              gh/guilhermeleobas/150/orig -> origin/gh/guilhermeleobas/150/orig
2025-11-03T16:15:02.3621289Z  * [new branch]              gh/guilhermeleobas/166/base -> origin/gh/guilhermeleobas/166/base
2025-11-03T16:15:02.3626287Z  * [new branch]              gh/guilhermeleobas/166/head -> origin/gh/guilhermeleobas/166/head
2025-11-03T16:15:02.3630959Z  * [new branch]              gh/guilhermeleobas/166/orig -> origin/gh/guilhermeleobas/166/orig
2025-11-03T16:15:02.3632773Z  * [new branch]              gh/guilhermeleobas/168/base -> origin/gh/guilhermeleobas/168/base
2025-11-03T16:15:02.3632959Z  * [new branch]              gh/guilhermeleobas/168/head -> origin/gh/guilhermeleobas/168/head
2025-11-03T16:15:02.3633137Z  * [new branch]              gh/guilhermeleobas/168/orig -> origin/gh/guilhermeleobas/168/orig
2025-11-03T16:15:02.3633310Z  * [new branch]              gh/guilhermeleobas/169/base -> origin/gh/guilhermeleobas/169/base
2025-11-03T16:15:02.3633475Z  * [new branch]              gh/guilhermeleobas/169/head -> origin/gh/guilhermeleobas/169/head
2025-11-03T16:15:02.3633648Z  * [new branch]              gh/guilhermeleobas/169/orig -> origin/gh/guilhermeleobas/169/orig
2025-11-03T16:15:02.3633802Z  * [new branch]              gh/guilhermeleobas/170/base -> origin/gh/guilhermeleobas/170/base
2025-11-03T16:15:02.3633963Z  * [new branch]              gh/guilhermeleobas/170/head -> origin/gh/guilhermeleobas/170/head
2025-11-03T16:15:02.3634117Z  * [new branch]              gh/guilhermeleobas/170/orig -> origin/gh/guilhermeleobas/170/orig
2025-11-03T16:15:02.3634273Z  * [new branch]              gh/guilhermeleobas/171/base -> origin/gh/guilhermeleobas/171/base
2025-11-03T16:15:02.3634440Z  * [new branch]              gh/guilhermeleobas/171/head -> origin/gh/guilhermeleobas/171/head
2025-11-03T16:15:02.3634595Z  * [new branch]              gh/guilhermeleobas/171/orig -> origin/gh/guilhermeleobas/171/orig
2025-11-03T16:15:02.3634754Z  * [new branch]              gh/guilhermeleobas/173/base -> origin/gh/guilhermeleobas/173/base
2025-11-03T16:15:02.3634906Z  * [new branch]              gh/guilhermeleobas/173/head -> origin/gh/guilhermeleobas/173/head
2025-11-03T16:15:02.3635260Z  * [new branch]              gh/guilhermeleobas/173/orig -> origin/gh/guilhermeleobas/173/orig
2025-11-03T16:15:02.3635416Z  * [new branch]              gh/guilhermeleobas/193/base -> origin/gh/guilhermeleobas/193/base
2025-11-03T16:15:02.3635567Z  * [new branch]              gh/guilhermeleobas/193/head -> origin/gh/guilhermeleobas/193/head
2025-11-03T16:15:02.3635730Z  * [new branch]              gh/guilhermeleobas/193/orig -> origin/gh/guilhermeleobas/193/orig
2025-11-03T16:15:02.3635882Z  * [new branch]              gh/guilhermeleobas/204/base -> origin/gh/guilhermeleobas/204/base
2025-11-03T16:15:02.3636049Z  * [new branch]              gh/guilhermeleobas/204/head -> origin/gh/guilhermeleobas/204/head
2025-11-03T16:15:02.3636207Z  * [new branch]              gh/guilhermeleobas/204/orig -> origin/gh/guilhermeleobas/204/orig
2025-11-03T16:15:02.3636362Z  * [new branch]              gh/guilhermeleobas/211/base -> origin/gh/guilhermeleobas/211/base
2025-11-03T16:15:02.3636523Z  * [new branch]              gh/guilhermeleobas/211/head -> origin/gh/guilhermeleobas/211/head
2025-11-03T16:15:02.3636684Z  * [new branch]              gh/guilhermeleobas/211/orig -> origin/gh/guilhermeleobas/211/orig
2025-11-03T16:15:02.3636845Z  * [new branch]              gh/guilhermeleobas/226/base -> origin/gh/guilhermeleobas/226/base
2025-11-03T16:15:02.3636997Z  * [new branch]              gh/guilhermeleobas/226/head -> origin/gh/guilhermeleobas/226/head
2025-11-03T16:15:02.3637156Z  * [new branch]              gh/guilhermeleobas/226/orig -> origin/gh/guilhermeleobas/226/orig
2025-11-03T16:15:02.3637310Z  * [new branch]              gh/guilhermeleobas/236/base -> origin/gh/guilhermeleobas/236/base
2025-11-03T16:15:02.3637577Z  * [new branch]              gh/guilhermeleobas/236/head -> origin/gh/guilhermeleobas/236/head
2025-11-03T16:15:02.3638450Z  * [new branch]              gh/guilhermeleobas/236/orig -> origin/gh/guilhermeleobas/236/orig
2025-11-03T16:15:02.3641193Z  * [new branch]              gh/guilhermeleobas/239/base -> origin/gh/guilhermeleobas/239/base
2025-11-03T16:15:02.3641395Z  * [new branch]              gh/guilhermeleobas/239/head -> origin/gh/guilhermeleobas/239/head
2025-11-03T16:15:02.3641594Z  * [new branch]              gh/guilhermeleobas/239/orig -> origin/gh/guilhermeleobas/239/orig
2025-11-03T16:15:02.3641768Z  * [new branch]              gh/guilhermeleobas/246/base -> origin/gh/guilhermeleobas/246/base
2025-11-03T16:15:02.3642979Z  * [new branch]              gh/guilhermeleobas/246/head -> origin/gh/guilhermeleobas/246/head
2025-11-03T16:15:02.3643207Z  * [new branch]              gh/guilhermeleobas/246/orig -> origin/gh/guilhermeleobas/246/orig
2025-11-03T16:15:02.3645364Z  * [new branch]              gh/guilhermeleobas/247/base -> origin/gh/guilhermeleobas/247/base
2025-11-03T16:15:02.3645702Z  * [new branch]              gh/guilhermeleobas/247/head -> origin/gh/guilhermeleobas/247/head
2025-11-03T16:15:02.3645975Z  * [new branch]              gh/guilhermeleobas/247/orig -> origin/gh/guilhermeleobas/247/orig
2025-11-03T16:15:02.3646174Z  * [new branch]              gh/guilhermeleobas/248/base -> origin/gh/guilhermeleobas/248/base
2025-11-03T16:15:02.3647651Z  * [new branch]              gh/guilhermeleobas/248/head -> origin/gh/guilhermeleobas/248/head
2025-11-03T16:15:02.3647960Z  * [new branch]              gh/guilhermeleobas/248/orig -> origin/gh/guilhermeleobas/248/orig
2025-11-03T16:15:02.3648418Z  * [new branch]              gh/guilhermeleobas/250/base -> origin/gh/guilhermeleobas/250/base
2025-11-03T16:15:02.3651294Z  * [new branch]              gh/guilhermeleobas/250/head -> origin/gh/guilhermeleobas/250/head
2025-11-03T16:15:02.3651501Z  * [new branch]              gh/guilhermeleobas/250/orig -> origin/gh/guilhermeleobas/250/orig
2025-11-03T16:15:02.3651666Z  * [new branch]              gh/guilhermeleobas/251/base -> origin/gh/guilhermeleobas/251/base
2025-11-03T16:15:02.3651828Z  * [new branch]              gh/guilhermeleobas/251/head -> origin/gh/guilhermeleobas/251/head
2025-11-03T16:15:02.3652290Z  * [new branch]              gh/guilhermeleobas/251/orig -> origin/gh/guilhermeleobas/251/orig
2025-11-03T16:15:02.3653999Z  * [new branch]              gh/guilhermeleobas/252/base -> origin/gh/guilhermeleobas/252/base
2025-11-03T16:15:02.3654341Z  * [new branch]              gh/guilhermeleobas/252/head -> origin/gh/guilhermeleobas/252/head
2025-11-03T16:15:02.3654511Z  * [new branch]              gh/guilhermeleobas/252/orig -> origin/gh/guilhermeleobas/252/orig
2025-11-03T16:15:02.3656152Z  * [new branch]              gh/henrylhtsang/150/base    -> origin/gh/henrylhtsang/150/base
2025-11-03T16:15:02.3656321Z  * [new branch]              gh/henrylhtsang/150/head    -> origin/gh/henrylhtsang/150/head
2025-11-03T16:15:02.3656788Z  * [new branch]              gh/henrylhtsang/150/orig    -> origin/gh/henrylhtsang/150/orig
2025-11-03T16:15:02.3658308Z  * [new branch]              gh/huydhn/1/next            -> origin/gh/huydhn/1/next
2025-11-03T16:15:02.3658567Z  * [new branch]              gh/huydhn/2/next            -> origin/gh/huydhn/2/next
2025-11-03T16:15:02.3660622Z  * [new branch]              gh/huydhn/3/next            -> origin/gh/huydhn/3/next
2025-11-03T16:15:02.3660927Z  * [new branch]              gh/huydhn/4/next            -> origin/gh/huydhn/4/next
2025-11-03T16:15:02.3661118Z  * [new branch]              gh/huydhn/5/next            -> origin/gh/huydhn/5/next
2025-11-03T16:15:02.3662631Z  * [new branch]              gh/huydhn/6/next            -> origin/gh/huydhn/6/next
2025-11-03T16:15:02.3663038Z  * [new branch]              gh/int3/97/base             -> origin/gh/int3/97/base
2025-11-03T16:15:02.3664850Z  * [new branch]              gh/int3/97/head             -> origin/gh/int3/97/head
2025-11-03T16:15:02.3665299Z  * [new branch]              gh/isuruf/101/base          -> origin/gh/isuruf/101/base
2025-11-03T16:15:02.3665729Z  * [new branch]              gh/isuruf/101/head          -> origin/gh/isuruf/101/head
2025-11-03T16:15:02.3667269Z  * [new branch]              gh/isuruf/146/base          -> origin/gh/isuruf/146/base
2025-11-03T16:15:02.3667574Z  * [new branch]              gh/isuruf/146/head          -> origin/gh/isuruf/146/head
2025-11-03T16:15:02.3672554Z  * [new branch]              gh/isuruf/146/orig          -> origin/gh/isuruf/146/orig
2025-11-03T16:15:02.3672820Z  * [new branch]              gh/isuruf/157/base          -> origin/gh/isuruf/157/base
2025-11-03T16:15:02.3673001Z  * [new branch]              gh/isuruf/157/head          -> origin/gh/isuruf/157/head
2025-11-03T16:15:02.3673137Z  * [new branch]              gh/isuruf/157/orig          -> origin/gh/isuruf/157/orig
2025-11-03T16:15:02.3673306Z  * [new branch]              gh/isuruf/81/base           -> origin/gh/isuruf/81/base
2025-11-03T16:15:02.3674528Z  * [new branch]              gh/isuruf/81/head           -> origin/gh/isuruf/81/head
2025-11-03T16:15:02.3674680Z  * [new branch]              gh/isuruf/81/orig           -> origin/gh/isuruf/81/orig
2025-11-03T16:15:02.3676501Z  * [new branch]              gh/jamesjwu/176/base        -> origin/gh/jamesjwu/176/base
2025-11-03T16:15:02.3676672Z  * [new branch]              gh/jamesjwu/176/head        -> origin/gh/jamesjwu/176/head
2025-11-03T16:15:02.3676989Z  * [new branch]              gh/jamesjwu/176/orig        -> origin/gh/jamesjwu/176/orig
2025-11-03T16:15:02.3680839Z  * [new branch]              gh/jamesjwu/187/base        -> origin/gh/jamesjwu/187/base
2025-11-03T16:15:02.3681151Z  * [new branch]              gh/jamesjwu/187/head        -> origin/gh/jamesjwu/187/head
2025-11-03T16:15:02.3681303Z  * [new branch]              gh/jamesjwu/187/orig        -> origin/gh/jamesjwu/187/orig
2025-11-03T16:15:02.3681453Z  * [new branch]              gh/jamesjwu/195/base        -> origin/gh/jamesjwu/195/base
2025-11-03T16:15:02.3681715Z  * [new branch]              gh/jamesjwu/195/head        -> origin/gh/jamesjwu/195/head
2025-11-03T16:15:02.3681963Z  * [new branch]              gh/jamesjwu/195/orig        -> origin/gh/jamesjwu/195/orig
2025-11-03T16:15:02.3683826Z  * [new branch]              gh/jamesjwu/196/base        -> origin/gh/jamesjwu/196/base
2025-11-03T16:15:02.3684158Z  * [new branch]              gh/jamesjwu/196/head        -> origin/gh/jamesjwu/196/head
2025-11-03T16:15:02.3684309Z  * [new branch]              gh/jamesjwu/196/orig        -> origin/gh/jamesjwu/196/orig
2025-11-03T16:15:02.3685757Z  * [new branch]              gh/jamesjwu/197/base        -> origin/gh/jamesjwu/197/base
2025-11-03T16:15:02.3685967Z  * [new branch]              gh/jamesjwu/197/head        -> origin/gh/jamesjwu/197/head
2025-11-03T16:15:02.3688626Z  * [new branch]              gh/jamesjwu/197/orig        -> origin/gh/jamesjwu/197/orig
2025-11-03T16:15:02.3688955Z  * [new branch]              gh/jamesjwu/198/base        -> origin/gh/jamesjwu/198/base
2025-11-03T16:15:02.3689111Z  * [new branch]              gh/jamesjwu/198/head        -> origin/gh/jamesjwu/198/head
2025-11-03T16:15:02.3689258Z  * [new branch]              gh/jamesjwu/198/orig        -> origin/gh/jamesjwu/198/orig
2025-11-03T16:15:02.3689625Z  * [new branch]              gh/jamesjwu/199/base        -> origin/gh/jamesjwu/199/base
2025-11-03T16:15:02.3692372Z  * [new branch]              gh/jamesjwu/199/head        -> origin/gh/jamesjwu/199/head
2025-11-03T16:15:02.3692675Z  * [new branch]              gh/jamesjwu/199/orig        -> origin/gh/jamesjwu/199/orig
2025-11-03T16:15:02.3692908Z  * [new branch]              gh/jamesjwu/200/base        -> origin/gh/jamesjwu/200/base
2025-11-03T16:15:02.3693187Z  * [new branch]              gh/jamesjwu/200/head        -> origin/gh/jamesjwu/200/head
2025-11-03T16:15:02.3693340Z  * [new branch]              gh/jamesjwu/200/orig        -> origin/gh/jamesjwu/200/orig
2025-11-03T16:15:02.3694257Z  * [new branch]              gh/jamesjwu/201/base        -> origin/gh/jamesjwu/201/base
2025-11-03T16:15:02.3694482Z  * [new branch]              gh/jamesjwu/201/head        -> origin/gh/jamesjwu/201/head
2025-11-03T16:15:02.3697516Z  * [new branch]              gh/jamesjwu/201/orig        -> origin/gh/jamesjwu/201/orig
2025-11-03T16:15:02.3697821Z  * [new branch]              gh/jamesjwu/202/base        -> origin/gh/jamesjwu/202/base
2025-11-03T16:15:02.3697975Z  * [new branch]              gh/jamesjwu/202/head        -> origin/gh/jamesjwu/202/head
2025-11-03T16:15:02.3698113Z  * [new branch]              gh/jamesjwu/202/orig        -> origin/gh/jamesjwu/202/orig
2025-11-03T16:15:02.3698354Z  * [new branch]              gh/jamesjwu/203/base        -> origin/gh/jamesjwu/203/base
2025-11-03T16:15:02.3699206Z  * [new branch]              gh/jamesjwu/203/head        -> origin/gh/jamesjwu/203/head
2025-11-03T16:15:02.3699527Z  * [new branch]              gh/jamesjwu/203/orig        -> origin/gh/jamesjwu/203/orig
2025-11-03T16:15:02.3703234Z  * [new branch]              gh/jamesjwu/204/base        -> origin/gh/jamesjwu/204/base
2025-11-03T16:15:02.3707881Z  * [new branch]              gh/jamesjwu/204/head        -> origin/gh/jamesjwu/204/head
2025-11-03T16:15:02.3709973Z  * [new branch]              gh/jamesjwu/204/orig        -> origin/gh/jamesjwu/204/orig
2025-11-03T16:15:02.3710217Z  * [new branch]              gh/jamesjwu/205/base        -> origin/gh/jamesjwu/205/base
2025-11-03T16:15:02.3713647Z  * [new branch]              gh/jamesjwu/205/head        -> origin/gh/jamesjwu/205/head
2025-11-03T16:15:02.3713816Z  * [new branch]              gh/jamesjwu/205/orig        -> origin/gh/jamesjwu/205/orig
2025-11-03T16:15:02.3713955Z  * [new branch]              gh/jamesjwu/206/base        -> origin/gh/jamesjwu/206/base
2025-11-03T16:15:02.3714084Z  * [new branch]              gh/jamesjwu/206/head        -> origin/gh/jamesjwu/206/head
2025-11-03T16:15:02.3714231Z  * [new branch]              gh/jamesjwu/206/orig        -> origin/gh/jamesjwu/206/orig
2025-11-03T16:15:02.3714373Z  * [new branch]              gh/jamesjwu/52/base         -> origin/gh/jamesjwu/52/base
2025-11-03T16:15:02.3714506Z  * [new branch]              gh/jamesjwu/52/head         -> origin/gh/jamesjwu/52/head
2025-11-03T16:15:02.3714784Z  * [new branch]              gh/jamesjwu/53/base         -> origin/gh/jamesjwu/53/base
2025-11-03T16:15:02.3714926Z  * [new branch]              gh/jamesjwu/53/head         -> origin/gh/jamesjwu/53/head
2025-11-03T16:15:02.3715059Z  * [new branch]              gh/jamesjwu/54/base         -> origin/gh/jamesjwu/54/base
2025-11-03T16:15:02.3715183Z  * [new branch]              gh/jamesjwu/54/head         -> origin/gh/jamesjwu/54/head
2025-11-03T16:15:02.3715312Z  * [new branch]              gh/jamesjwu/55/base         -> origin/gh/jamesjwu/55/base
2025-11-03T16:15:02.3715437Z  * [new branch]              gh/jamesjwu/55/head         -> origin/gh/jamesjwu/55/head
2025-11-03T16:15:02.3715563Z  * [new branch]              gh/jamesjwu/56/base         -> origin/gh/jamesjwu/56/base
2025-11-03T16:15:02.3715693Z  * [new branch]              gh/jamesjwu/56/head         -> origin/gh/jamesjwu/56/head
2025-11-03T16:15:02.3715822Z  * [new branch]              gh/jamesjwu/57/base         -> origin/gh/jamesjwu/57/base
2025-11-03T16:15:02.3715956Z  * [new branch]              gh/jamesjwu/57/head         -> origin/gh/jamesjwu/57/head
2025-11-03T16:15:02.3716079Z  * [new branch]              gh/jamesjwu/58/base         -> origin/gh/jamesjwu/58/base
2025-11-03T16:15:02.3716640Z  * [new branch]              gh/jamesjwu/58/head         -> origin/gh/jamesjwu/58/head
2025-11-03T16:15:02.3717526Z  * [new branch]              gh/jamesjwu/59/base         -> origin/gh/jamesjwu/59/base
2025-11-03T16:15:02.3718059Z  * [new branch]              gh/jamesjwu/59/head         -> origin/gh/jamesjwu/59/head
2025-11-03T16:15:02.3719064Z  * [new branch]              gh/jamesjwu/60/base         -> origin/gh/jamesjwu/60/base
2025-11-03T16:15:02.3719391Z  * [new branch]              gh/jamesjwu/60/head         -> origin/gh/jamesjwu/60/head
2025-11-03T16:15:02.3722676Z  * [new branch]              gh/jamesjwu/61/base         -> origin/gh/jamesjwu/61/base
2025-11-03T16:15:02.3722950Z  * [new branch]              gh/jamesjwu/61/head         -> origin/gh/jamesjwu/61/head
2025-11-03T16:15:02.3728349Z  * [new branch]              gh/jamesjwu/62/base         -> origin/gh/jamesjwu/62/base
2025-11-03T16:15:02.3732952Z  * [new branch]              gh/jamesjwu/62/head         -> origin/gh/jamesjwu/62/head
2025-11-03T16:15:02.3733224Z  * [new branch]              gh/jamesjwu/63/base         -> origin/gh/jamesjwu/63/base
2025-11-03T16:15:02.3733393Z  * [new branch]              gh/jamesjwu/63/head         -> origin/gh/jamesjwu/63/head
2025-11-03T16:15:02.3733530Z  * [new branch]              gh/jamesjwu/64/base         -> origin/gh/jamesjwu/64/base
2025-11-03T16:15:02.3733657Z  * [new branch]              gh/jamesjwu/64/head         -> origin/gh/jamesjwu/64/head
2025-11-03T16:15:02.3733809Z  * [new branch]              gh/jamesjwu/65/base         -> origin/gh/jamesjwu/65/base
2025-11-03T16:15:02.3734060Z  * [new branch]              gh/jamesjwu/65/head         -> origin/gh/jamesjwu/65/head
2025-11-03T16:15:02.3734727Z  * [new branch]              gh/janeyx99/165/base        -> origin/gh/janeyx99/165/base
2025-11-03T16:15:02.3734920Z  * [new branch]              gh/janeyx99/165/head        -> origin/gh/janeyx99/165/head
2025-11-03T16:15:02.3735092Z  * [new branch]              gh/janeyx99/165/orig        -> origin/gh/janeyx99/165/orig
2025-11-03T16:15:02.3735239Z  * [new branch]              gh/janeyx99/201/base        -> origin/gh/janeyx99/201/base
2025-11-03T16:15:02.3735383Z  * [new branch]              gh/janeyx99/201/head        -> origin/gh/janeyx99/201/head
2025-11-03T16:15:02.3735529Z  * [new branch]              gh/janeyx99/201/orig        -> origin/gh/janeyx99/201/orig
2025-11-03T16:15:02.3735694Z  * [new branch]              gh/janeyx99/225/base        -> origin/gh/janeyx99/225/base
2025-11-03T16:15:02.3735844Z  * [new branch]              gh/janeyx99/225/head        -> origin/gh/janeyx99/225/head
2025-11-03T16:15:02.3735988Z  * [new branch]              gh/janeyx99/225/orig        -> origin/gh/janeyx99/225/orig
2025-11-03T16:15:02.3736289Z  * [new branch]              gh/janeyx99/299/base        -> origin/gh/janeyx99/299/base
2025-11-03T16:15:02.3736447Z  * [new branch]              gh/janeyx99/299/head        -> origin/gh/janeyx99/299/head
2025-11-03T16:15:02.3736597Z  * [new branch]              gh/janeyx99/299/orig        -> origin/gh/janeyx99/299/orig
2025-11-03T16:15:02.3739857Z  * [new branch]              gh/janeyx99/302/base        -> origin/gh/janeyx99/302/base
2025-11-03T16:15:02.3740018Z  * [new branch]              gh/janeyx99/302/head        -> origin/gh/janeyx99/302/head
2025-11-03T16:15:02.3740154Z  * [new branch]              gh/janeyx99/303/base        -> origin/gh/janeyx99/303/base
2025-11-03T16:15:02.3740330Z  * [new branch]              gh/janeyx99/303/head        -> origin/gh/janeyx99/303/head
2025-11-03T16:15:02.3740765Z  * [new branch]              gh/janeyx99/305/base        -> origin/gh/janeyx99/305/base
2025-11-03T16:15:02.3742669Z  * [new branch]              gh/janeyx99/305/head        -> origin/gh/janeyx99/305/head
2025-11-03T16:15:02.3743009Z  * [new branch]              gh/janeyx99/306/base        -> origin/gh/janeyx99/306/base
2025-11-03T16:15:02.3743174Z  * [new branch]              gh/janeyx99/306/head        -> origin/gh/janeyx99/306/head
2025-11-03T16:15:02.3746386Z  * [new branch]              gh/janeyx99/310/base        -> origin/gh/janeyx99/310/base
2025-11-03T16:15:02.3746544Z  * [new branch]              gh/janeyx99/310/head        -> origin/gh/janeyx99/310/head
2025-11-03T16:15:02.3746685Z  * [new branch]              gh/janeyx99/310/orig        -> origin/gh/janeyx99/310/orig
2025-11-03T16:15:02.3746810Z  * [new branch]              gh/janeyx99/311/base        -> origin/gh/janeyx99/311/base
2025-11-03T16:15:02.3747077Z  * [new branch]              gh/janeyx99/311/head        -> origin/gh/janeyx99/311/head
2025-11-03T16:15:02.3747255Z  * [new branch]              gh/janeyx99/311/orig        -> origin/gh/janeyx99/311/orig
2025-11-03T16:15:02.3748652Z  * [new branch]              gh/janeyx99/312/base        -> origin/gh/janeyx99/312/base
2025-11-03T16:15:02.3748812Z  * [new branch]              gh/janeyx99/312/head        -> origin/gh/janeyx99/312/head
2025-11-03T16:15:02.3750036Z  * [new branch]              gh/janeyx99/312/orig        -> origin/gh/janeyx99/312/orig
2025-11-03T16:15:02.3750178Z  * [new branch]              gh/janeyx99/313/base        -> origin/gh/janeyx99/313/base
2025-11-03T16:15:02.3751101Z  * [new branch]              gh/janeyx99/313/head        -> origin/gh/janeyx99/313/head
2025-11-03T16:15:02.3751416Z  * [new branch]              gh/janeyx99/313/orig        -> origin/gh/janeyx99/313/orig
2025-11-03T16:15:02.3752466Z  * [new branch]              gh/janeyx99/314/base        -> origin/gh/janeyx99/314/base
2025-11-03T16:15:02.3752908Z  * [new branch]              gh/janeyx99/314/head        -> origin/gh/janeyx99/314/head
2025-11-03T16:15:02.3753749Z  * [new branch]              gh/janeyx99/314/orig        -> origin/gh/janeyx99/314/orig
2025-11-03T16:15:02.3754447Z  * [new branch]              gh/janeyx99/315/base        -> origin/gh/janeyx99/315/base
2025-11-03T16:15:02.3754942Z  * [new branch]              gh/janeyx99/315/head        -> origin/gh/janeyx99/315/head
2025-11-03T16:15:02.3755785Z  * [new branch]              gh/janeyx99/315/orig        -> origin/gh/janeyx99/315/orig
2025-11-03T16:15:02.3756633Z  * [new branch]              gh/janeyx99/316/base        -> origin/gh/janeyx99/316/base
2025-11-03T16:15:02.3757091Z  * [new branch]              gh/janeyx99/316/head        -> origin/gh/janeyx99/316/head
2025-11-03T16:15:02.3757948Z  * [new branch]              gh/janeyx99/316/orig        -> origin/gh/janeyx99/316/orig
2025-11-03T16:15:02.3758527Z  * [new branch]              gh/janeyx99/317/base        -> origin/gh/janeyx99/317/base
2025-11-03T16:15:02.3759491Z  * [new branch]              gh/janeyx99/317/head        -> origin/gh/janeyx99/317/head
2025-11-03T16:15:02.3759927Z  * [new branch]              gh/janeyx99/317/orig        -> origin/gh/janeyx99/317/orig
2025-11-03T16:15:02.3761353Z  * [new branch]              gh/janeyx99/318/base        -> origin/gh/janeyx99/318/base
2025-11-03T16:15:02.3761900Z  * [new branch]              gh/janeyx99/318/head        -> origin/gh/janeyx99/318/head
2025-11-03T16:15:02.3762249Z  * [new branch]              gh/janeyx99/318/orig        -> origin/gh/janeyx99/318/orig
2025-11-03T16:15:02.3763821Z  * [new branch]              gh/janeyx99/319/base        -> origin/gh/janeyx99/319/base
2025-11-03T16:15:02.3764199Z  * [new branch]              gh/janeyx99/319/head        -> origin/gh/janeyx99/319/head
2025-11-03T16:15:02.3765214Z  * [new branch]              gh/janeyx99/319/orig        -> origin/gh/janeyx99/319/orig
2025-11-03T16:15:02.3766101Z  * [new branch]              gh/janeyx99/320/base        -> origin/gh/janeyx99/320/base
2025-11-03T16:15:02.3766545Z  * [new branch]              gh/janeyx99/320/head        -> origin/gh/janeyx99/320/head
2025-11-03T16:15:02.3768034Z  * [new branch]              gh/janeyx99/320/orig        -> origin/gh/janeyx99/320/orig
2025-11-03T16:15:02.3768927Z  * [new branch]              gh/janeyx99/321/base        -> origin/gh/janeyx99/321/base
2025-11-03T16:15:02.3769215Z  * [new branch]              gh/janeyx99/321/head        -> origin/gh/janeyx99/321/head
2025-11-03T16:15:02.3770261Z  * [new branch]              gh/janeyx99/321/orig        -> origin/gh/janeyx99/321/orig
2025-11-03T16:15:02.3771156Z  * [new branch]              gh/janeyx99/322/base        -> origin/gh/janeyx99/322/base
2025-11-03T16:15:02.3771596Z  * [new branch]              gh/janeyx99/322/head        -> origin/gh/janeyx99/322/head
2025-11-03T16:15:02.3772874Z  * [new branch]              gh/janeyx99/322/orig        -> origin/gh/janeyx99/322/orig
2025-11-03T16:15:02.3773930Z  * [new branch]              gh/janeyx99/323/base        -> origin/gh/janeyx99/323/base
2025-11-03T16:15:02.3774062Z  * [new branch]              gh/janeyx99/323/head        -> origin/gh/janeyx99/323/head
2025-11-03T16:15:02.3775178Z  * [new branch]              gh/janeyx99/323/orig        -> origin/gh/janeyx99/323/orig
2025-11-03T16:15:02.3775509Z  * [new branch]              gh/janeyx99/324/base        -> origin/gh/janeyx99/324/base
2025-11-03T16:15:02.3778002Z  * [new branch]              gh/janeyx99/324/head        -> origin/gh/janeyx99/324/head
2025-11-03T16:15:02.3778160Z  * [new branch]              gh/janeyx99/324/orig        -> origin/gh/janeyx99/324/orig
2025-11-03T16:15:02.3778301Z  * [new branch]              gh/janeyx99/325/base        -> origin/gh/janeyx99/325/base
2025-11-03T16:15:02.3778464Z  * [new branch]              gh/janeyx99/325/head        -> origin/gh/janeyx99/325/head
2025-11-03T16:15:02.3779256Z  * [new branch]              gh/janeyx99/325/orig        -> origin/gh/janeyx99/325/orig
2025-11-03T16:15:02.3782942Z  * [new branch]              gh/janeyx99/326/base        -> origin/gh/janeyx99/326/base
2025-11-03T16:15:02.3783107Z  * [new branch]              gh/janeyx99/326/head        -> origin/gh/janeyx99/326/head
2025-11-03T16:15:02.3783245Z  * [new branch]              gh/janeyx99/326/orig        -> origin/gh/janeyx99/326/orig
2025-11-03T16:15:02.3783384Z  * [new branch]              gh/janeyx99/88/base         -> origin/gh/janeyx99/88/base
2025-11-03T16:15:02.3783517Z  * [new branch]              gh/janeyx99/88/head         -> origin/gh/janeyx99/88/head
2025-11-03T16:15:02.3783643Z  * [new branch]              gh/janeyx99/88/orig         -> origin/gh/janeyx99/88/orig
2025-11-03T16:15:02.3787586Z  * [new branch]              gh/jansel/360/base          -> origin/gh/jansel/360/base
2025-11-03T16:15:02.3787739Z  * [new branch]              gh/jansel/360/head          -> origin/gh/jansel/360/head
2025-11-03T16:15:02.3787872Z  * [new branch]              gh/jansel/451/base          -> origin/gh/jansel/451/base
2025-11-03T16:15:02.3788008Z  * [new branch]              gh/jansel/451/head          -> origin/gh/jansel/451/head
2025-11-03T16:15:02.3788132Z  * [new branch]              gh/jansel/451/orig          -> origin/gh/jansel/451/orig
2025-11-03T16:15:02.3788486Z  * [new branch]              gh/jansel/462/base          -> origin/gh/jansel/462/base
2025-11-03T16:15:02.3788830Z  * [new branch]              gh/jansel/462/head          -> origin/gh/jansel/462/head
2025-11-03T16:15:02.3789858Z  * [new branch]              gh/jansel/462/orig          -> origin/gh/jansel/462/orig
2025-11-03T16:15:02.3790438Z  * [new branch]              gh/jansel/531/base          -> origin/gh/jansel/531/base
2025-11-03T16:15:02.3791181Z  * [new branch]              gh/jansel/531/head          -> origin/gh/jansel/531/head
2025-11-03T16:15:02.3791663Z  * [new branch]              gh/jansel/531/orig          -> origin/gh/jansel/531/orig
2025-11-03T16:15:02.3792773Z  * [new branch]              gh/jansel/533/base          -> origin/gh/jansel/533/base
2025-11-03T16:15:02.3793202Z  * [new branch]              gh/jansel/533/head          -> origin/gh/jansel/533/head
2025-11-03T16:15:02.3794053Z  * [new branch]              gh/jansel/533/orig          -> origin/gh/jansel/533/orig
2025-11-03T16:15:02.3795015Z  * [new branch]              gh/jansel/549/base          -> origin/gh/jansel/549/base
2025-11-03T16:15:02.3795283Z  * [new branch]              gh/jansel/549/head          -> origin/gh/jansel/549/head
2025-11-03T16:15:02.3796251Z  * [new branch]              gh/jansel/549/orig          -> origin/gh/jansel/549/orig
2025-11-03T16:15:02.3797127Z  * [new branch]              gh/jansel/550/base          -> origin/gh/jansel/550/base
2025-11-03T16:15:02.3797456Z  * [new branch]              gh/jansel/550/head          -> origin/gh/jansel/550/head
2025-11-03T16:15:02.3798746Z  * [new branch]              gh/jansel/550/orig          -> origin/gh/jansel/550/orig
2025-11-03T16:15:02.3799784Z  * [new branch]              gh/jansel/551/base          -> origin/gh/jansel/551/base
2025-11-03T16:15:02.3799990Z  * [new branch]              gh/jansel/551/head          -> origin/gh/jansel/551/head
2025-11-03T16:15:02.3802311Z  * [new branch]              gh/jansel/551/orig          -> origin/gh/jansel/551/orig
2025-11-03T16:15:02.3802508Z  * [new branch]              gh/jbschlosser/247/base     -> origin/gh/jbschlosser/247/base
2025-11-03T16:15:02.3802646Z  * [new branch]              gh/jbschlosser/247/head     -> origin/gh/jbschlosser/247/head
2025-11-03T16:15:02.3806427Z  * [new branch]              gh/jbschlosser/247/orig     -> origin/gh/jbschlosser/247/orig
2025-11-03T16:15:02.3810423Z  * [new branch]              gh/jbschlosser/250/base     -> origin/gh/jbschlosser/250/base
2025-11-03T16:15:02.3814323Z  * [new branch]              gh/jbschlosser/250/head     -> origin/gh/jbschlosser/250/head
2025-11-03T16:15:02.3818922Z  * [new branch]              gh/jbschlosser/250/orig     -> origin/gh/jbschlosser/250/orig
2025-11-03T16:15:02.3823036Z  * [new branch]              gh/jgong5/1/base            -> origin/gh/jgong5/1/base
2025-11-03T16:15:02.3824636Z  * [new branch]              gh/jgong5/1/head            -> origin/gh/jgong5/1/head
2025-11-03T16:15:02.3824779Z  * [new branch]              gh/jgong5/1/orig            -> origin/gh/jgong5/1/orig
2025-11-03T16:15:02.3824939Z  * [new branch]              gh/jiayisunx/59/base        -> origin/gh/jiayisunx/59/base
2025-11-03T16:15:02.3825074Z  * [new branch]              gh/jiayisunx/59/head        -> origin/gh/jiayisunx/59/head
2025-11-03T16:15:02.3825210Z  * [new branch]              gh/jiayisunx/59/orig        -> origin/gh/jiayisunx/59/orig
2025-11-03T16:15:02.3825336Z  * [new branch]              gh/jiayisunx/61/base        -> origin/gh/jiayisunx/61/base
2025-11-03T16:15:02.3825471Z  * [new branch]              gh/jiayisunx/61/head        -> origin/gh/jiayisunx/61/head
2025-11-03T16:15:02.3825607Z  * [new branch]              gh/jiayisunx/61/orig        -> origin/gh/jiayisunx/61/orig
2025-11-03T16:15:02.3825743Z  * [new branch]              gh/jiayisunx/68/base        -> origin/gh/jiayisunx/68/base
2025-11-03T16:15:02.3825870Z  * [new branch]              gh/jiayisunx/68/head        -> origin/gh/jiayisunx/68/head
2025-11-03T16:15:02.3826128Z  * [new branch]              gh/jiayisunx/68/orig        -> origin/gh/jiayisunx/68/orig
2025-11-03T16:15:02.3826264Z  * [new branch]              gh/jiayisunx/71/base        -> origin/gh/jiayisunx/71/base
2025-11-03T16:15:02.3826392Z  * [new branch]              gh/jiayisunx/71/head        -> origin/gh/jiayisunx/71/head
2025-11-03T16:15:02.3826527Z  * [new branch]              gh/jiayisunx/71/orig        -> origin/gh/jiayisunx/71/orig
2025-11-03T16:15:02.3826653Z  * [new branch]              gh/jiayisunx/77/base        -> origin/gh/jiayisunx/77/base
2025-11-03T16:15:02.3826788Z  * [new branch]              gh/jiayisunx/77/head        -> origin/gh/jiayisunx/77/head
2025-11-03T16:15:02.3826916Z  * [new branch]              gh/jiayisunx/77/orig        -> origin/gh/jiayisunx/77/orig
2025-11-03T16:15:02.3827044Z  * [new branch]              gh/jiayisunx/78/base        -> origin/gh/jiayisunx/78/base
2025-11-03T16:15:02.3827180Z  * [new branch]              gh/jiayisunx/78/head        -> origin/gh/jiayisunx/78/head
2025-11-03T16:15:02.3827308Z  * [new branch]              gh/jiayisunx/78/orig        -> origin/gh/jiayisunx/78/orig
2025-11-03T16:15:02.3827440Z  * [new branch]              gh/jiayisunx/79/base        -> origin/gh/jiayisunx/79/base
2025-11-03T16:15:02.3827565Z  * [new branch]              gh/jiayisunx/79/head        -> origin/gh/jiayisunx/79/head
2025-11-03T16:15:02.3827698Z  * [new branch]              gh/jiayisunx/79/orig        -> origin/gh/jiayisunx/79/orig
2025-11-03T16:15:02.3827823Z  * [new branch]              gh/jiayisunx/80/base        -> origin/gh/jiayisunx/80/base
2025-11-03T16:15:02.3827981Z  * [new branch]              gh/jiayisunx/80/head        -> origin/gh/jiayisunx/80/head
2025-11-03T16:15:02.3828189Z  * [new branch]              gh/jiayisunx/80/orig        -> origin/gh/jiayisunx/80/orig
2025-11-03T16:15:02.3828396Z  * [new branch]              gh/jiayisunx/81/base        -> origin/gh/jiayisunx/81/base
2025-11-03T16:15:02.3831888Z  * [new branch]              gh/jiayisunx/81/head        -> origin/gh/jiayisunx/81/head
2025-11-03T16:15:02.3832216Z  * [new branch]              gh/jiayisunx/81/orig        -> origin/gh/jiayisunx/81/orig
2025-11-03T16:15:02.3832376Z  * [new branch]              gh/jiayisunx/82/base        -> origin/gh/jiayisunx/82/base
2025-11-03T16:15:02.3832581Z  * [new branch]              gh/jiayisunx/82/head        -> origin/gh/jiayisunx/82/head
2025-11-03T16:15:02.3832749Z  * [new branch]              gh/jiayisunx/82/orig        -> origin/gh/jiayisunx/82/orig
2025-11-03T16:15:02.3832876Z  * [new branch]              gh/jiayisunx/83/base        -> origin/gh/jiayisunx/83/base
2025-11-03T16:15:02.3833010Z  * [new branch]              gh/jiayisunx/83/head        -> origin/gh/jiayisunx/83/head
2025-11-03T16:15:02.3833142Z  * [new branch]              gh/jiayisunx/83/orig        -> origin/gh/jiayisunx/83/orig
2025-11-03T16:15:02.3833275Z  * [new branch]              gh/jiayisunx/84/base        -> origin/gh/jiayisunx/84/base
2025-11-03T16:15:02.3833406Z  * [new branch]              gh/jiayisunx/84/head        -> origin/gh/jiayisunx/84/head
2025-11-03T16:15:02.3835746Z  * [new branch]              gh/jiayisunx/84/orig        -> origin/gh/jiayisunx/84/orig
2025-11-03T16:15:02.3836216Z  * [new branch]              gh/jiayisunx/85/base        -> origin/gh/jiayisunx/85/base
2025-11-03T16:15:02.3836370Z  * [new branch]              gh/jiayisunx/85/head        -> origin/gh/jiayisunx/85/head
2025-11-03T16:15:02.3836520Z  * [new branch]              gh/jiayisunx/85/orig        -> origin/gh/jiayisunx/85/orig
2025-11-03T16:15:02.3836654Z  * [new branch]              gh/jiayisunx/86/base        -> origin/gh/jiayisunx/86/base
2025-11-03T16:15:02.3836805Z  * [new branch]              gh/jiayisunx/86/head        -> origin/gh/jiayisunx/86/head
2025-11-03T16:15:02.3837581Z  * [new branch]              gh/jiayisunx/86/orig        -> origin/gh/jiayisunx/86/orig
2025-11-03T16:15:02.3838539Z  * [new branch]              gh/jiayisunx/87/base        -> origin/gh/jiayisunx/87/base
2025-11-03T16:15:02.3839205Z  * [new branch]              gh/jiayisunx/87/head        -> origin/gh/jiayisunx/87/head
2025-11-03T16:15:02.3839346Z  * [new branch]              gh/jiayisunx/87/orig        -> origin/gh/jiayisunx/87/orig
2025-11-03T16:15:02.3845546Z  * [new branch]              gh/jjwu@meta.com/1/base     -> origin/gh/jjwu@meta.com/1/base
2025-11-03T16:15:02.3845710Z  * [new branch]              gh/jjwu@meta.com/1/head     -> origin/gh/jjwu@meta.com/1/head
2025-11-03T16:15:02.3845867Z  * [new branch]              gh/karthickai/6/base        -> origin/gh/karthickai/6/base
2025-11-03T16:15:02.3846031Z  * [new branch]              gh/karthickai/6/head        -> origin/gh/karthickai/6/head
2025-11-03T16:15:02.3846186Z  * [new branch]              gh/karthickai/6/orig        -> origin/gh/karthickai/6/orig
2025-11-03T16:15:02.3846333Z  * [new branch]              gh/karthickai/7/base        -> origin/gh/karthickai/7/base
2025-11-03T16:15:02.3846465Z  * [new branch]              gh/karthickai/7/head        -> origin/gh/karthickai/7/head
2025-11-03T16:15:02.3846605Z  * [new branch]              gh/karthickai/7/orig        -> origin/gh/karthickai/7/orig
2025-11-03T16:15:02.3851447Z  * [new branch]              gh/karthickai/8/base        -> origin/gh/karthickai/8/base
2025-11-03T16:15:02.3851620Z  * [new branch]              gh/karthickai/8/head        -> origin/gh/karthickai/8/head
2025-11-03T16:15:02.3851749Z  * [new branch]              gh/karthickai/8/orig        -> origin/gh/karthickai/8/orig
2025-11-03T16:15:02.3851897Z  * [new branch]              gh/karthickai/9/base        -> origin/gh/karthickai/9/base
2025-11-03T16:15:02.3854447Z  * [new branch]              gh/karthickai/9/head        -> origin/gh/karthickai/9/head
2025-11-03T16:15:02.3854960Z  * [new branch]              gh/karthickai/9/orig        -> origin/gh/karthickai/9/orig
2025-11-03T16:15:02.3855290Z  * [new branch]              gh/kurtamohler/32/base      -> origin/gh/kurtamohler/32/base
2025-11-03T16:15:02.3855539Z  * [new branch]              gh/kurtamohler/32/head      -> origin/gh/kurtamohler/32/head
2025-11-03T16:15:02.3856168Z  * [new branch]              gh/kurtamohler/32/orig      -> origin/gh/kurtamohler/32/orig
2025-11-03T16:15:02.3856332Z  * [new branch]              gh/kurtamohler/33/base      -> origin/gh/kurtamohler/33/base
2025-11-03T16:15:02.3856478Z  * [new branch]              gh/kurtamohler/33/head      -> origin/gh/kurtamohler/33/head
2025-11-03T16:15:02.3856615Z  * [new branch]              gh/kurtamohler/33/orig      -> origin/gh/kurtamohler/33/orig
2025-11-03T16:15:02.3856759Z  * [new branch]              gh/kurtamohler/34/base      -> origin/gh/kurtamohler/34/base
2025-11-03T16:15:02.3856896Z  * [new branch]              gh/kurtamohler/34/head      -> origin/gh/kurtamohler/34/head
2025-11-03T16:15:02.3857399Z  * [new branch]              gh/kurtamohler/34/orig      -> origin/gh/kurtamohler/34/orig
2025-11-03T16:15:02.3858607Z  * [new branch]              gh/kurtamohler/55/base      -> origin/gh/kurtamohler/55/base
2025-11-03T16:15:02.3858906Z  * [new branch]              gh/kurtamohler/55/head      -> origin/gh/kurtamohler/55/head
2025-11-03T16:15:02.3859800Z  * [new branch]              gh/kurtamohler/55/orig      -> origin/gh/kurtamohler/55/orig
2025-11-03T16:15:02.3860731Z  * [new branch]              gh/kurtamohler/56/base      -> origin/gh/kurtamohler/56/base
2025-11-03T16:15:02.3861110Z  * [new branch]              gh/kurtamohler/56/head      -> origin/gh/kurtamohler/56/head
2025-11-03T16:15:02.3862080Z  * [new branch]              gh/kurtamohler/56/orig      -> origin/gh/kurtamohler/56/orig
2025-11-03T16:15:02.3862523Z  * [new branch]              gh/kurtamohler/57/base      -> origin/gh/kurtamohler/57/base
2025-11-03T16:15:02.3863466Z  * [new branch]              gh/kurtamohler/57/head      -> origin/gh/kurtamohler/57/head
2025-11-03T16:15:02.3863754Z  * [new branch]              gh/kurtamohler/57/orig      -> origin/gh/kurtamohler/57/orig
2025-11-03T16:15:02.3864887Z  * [new branch]              gh/kurtamohler/58/base      -> origin/gh/kurtamohler/58/base
2025-11-03T16:15:02.3865518Z  * [new branch]              gh/kurtamohler/58/head      -> origin/gh/kurtamohler/58/head
2025-11-03T16:15:02.3865829Z  * [new branch]              gh/kurtamohler/58/orig      -> origin/gh/kurtamohler/58/orig
2025-11-03T16:15:02.3867169Z  * [new branch]              gh/kurtamohler/59/base      -> origin/gh/kurtamohler/59/base
2025-11-03T16:15:02.3867319Z  * [new branch]              gh/kurtamohler/59/head      -> origin/gh/kurtamohler/59/head
2025-11-03T16:15:02.3868482Z  * [new branch]              gh/kurtamohler/59/orig      -> origin/gh/kurtamohler/59/orig
2025-11-03T16:15:02.3869719Z  * [new branch]              gh/kwen2501/130/base        -> origin/gh/kwen2501/130/base
2025-11-03T16:15:02.3870172Z  * [new branch]              gh/kwen2501/130/head        -> origin/gh/kwen2501/130/head
2025-11-03T16:15:02.3871069Z  * [new branch]              gh/kwen2501/130/orig        -> origin/gh/kwen2501/130/orig
2025-11-03T16:15:02.3871993Z  * [new branch]              gh/kwen2501/170/base        -> origin/gh/kwen2501/170/base
2025-11-03T16:15:02.3872284Z  * [new branch]              gh/kwen2501/170/head        -> origin/gh/kwen2501/170/head
2025-11-03T16:15:02.3873508Z  * [new branch]              gh/kwen2501/187/base        -> origin/gh/kwen2501/187/base
2025-11-03T16:15:02.3873785Z  * [new branch]              gh/kwen2501/187/head        -> origin/gh/kwen2501/187/head
2025-11-03T16:15:02.3874752Z  * [new branch]              gh/kwen2501/187/orig        -> origin/gh/kwen2501/187/orig
2025-11-03T16:15:02.3875607Z  * [new branch]              gh/kwen2501/188/base        -> origin/gh/kwen2501/188/base
2025-11-03T16:15:02.3875992Z  * [new branch]              gh/kwen2501/188/head        -> origin/gh/kwen2501/188/head
2025-11-03T16:15:02.3876805Z  * [new branch]              gh/kwen2501/188/orig        -> origin/gh/kwen2501/188/orig
2025-11-03T16:15:02.3877734Z  * [new branch]              gh/kwen2501/211/base        -> origin/gh/kwen2501/211/base
2025-11-03T16:15:02.3877998Z  * [new branch]              gh/kwen2501/211/head        -> origin/gh/kwen2501/211/head
2025-11-03T16:15:02.3879267Z  * [new branch]              gh/kwen2501/224/base        -> origin/gh/kwen2501/224/base
2025-11-03T16:15:02.3879604Z  * [new branch]              gh/kwen2501/224/head        -> origin/gh/kwen2501/224/head
2025-11-03T16:15:02.3880648Z  * [new branch]              gh/kwen2501/224/orig        -> origin/gh/kwen2501/224/orig
2025-11-03T16:15:02.3881530Z  * [new branch]              gh/kwen2501/228/base        -> origin/gh/kwen2501/228/base
2025-11-03T16:15:02.3881926Z  * [new branch]              gh/kwen2501/228/head        -> origin/gh/kwen2501/228/head
2025-11-03T16:15:02.3882902Z  * [new branch]              gh/kwen2501/228/orig        -> origin/gh/kwen2501/228/orig
2025-11-03T16:15:02.3883828Z  * [new branch]              gh/kwen2501/231/base        -> origin/gh/kwen2501/231/base
2025-11-03T16:15:02.3884370Z  * [new branch]              gh/kwen2501/231/head        -> origin/gh/kwen2501/231/head
2025-11-03T16:15:02.3885267Z  * [new branch]              gh/kwen2501/231/orig        -> origin/gh/kwen2501/231/orig
2025-11-03T16:15:02.3886282Z  * [new branch]              gh/kwen2501/234/base        -> origin/gh/kwen2501/234/base
2025-11-03T16:15:02.3886766Z  * [new branch]              gh/kwen2501/234/head        -> origin/gh/kwen2501/234/head
2025-11-03T16:15:02.3887737Z  * [new branch]              gh/kwen2501/234/orig        -> origin/gh/kwen2501/234/orig
2025-11-03T16:15:02.3890166Z  * [new branch]              gh/kwen2501/235/base        -> origin/gh/kwen2501/235/base
2025-11-03T16:15:02.3890316Z  * [new branch]              gh/kwen2501/235/head        -> origin/gh/kwen2501/235/head
2025-11-03T16:15:02.3890565Z  * [new branch]              gh/kwen2501/235/orig        -> origin/gh/kwen2501/235/orig
2025-11-03T16:15:02.3890717Z  * [new branch]              gh/kwen2501/236/base        -> origin/gh/kwen2501/236/base
2025-11-03T16:15:02.3897079Z  * [new branch]              gh/kwen2501/236/head        -> origin/gh/kwen2501/236/head
2025-11-03T16:15:02.3897485Z  * [new branch]              gh/kwen2501/236/orig        -> origin/gh/kwen2501/236/orig
2025-11-03T16:15:02.3897616Z  * [new branch]              gh/kwen2501/237/base        -> origin/gh/kwen2501/237/base
2025-11-03T16:15:02.3897745Z  * [new branch]              gh/kwen2501/237/head        -> origin/gh/kwen2501/237/head
2025-11-03T16:15:02.3897887Z  * [new branch]              gh/kwen2501/237/orig        -> origin/gh/kwen2501/237/orig
2025-11-03T16:15:02.3898016Z  * [new branch]              gh/kwen2501/238/base        -> origin/gh/kwen2501/238/base
2025-11-03T16:15:02.3898149Z  * [new branch]              gh/kwen2501/238/head        -> origin/gh/kwen2501/238/head
2025-11-03T16:15:02.3898296Z  * [new branch]              gh/kwen2501/238/orig        -> origin/gh/kwen2501/238/orig
2025-11-03T16:15:02.3898429Z  * [new branch]              gh/kwen2501/240/base        -> origin/gh/kwen2501/240/base
2025-11-03T16:15:02.3898553Z  * [new branch]              gh/kwen2501/240/head        -> origin/gh/kwen2501/240/head
2025-11-03T16:15:02.3898677Z  * [new branch]              gh/kwen2501/240/orig        -> origin/gh/kwen2501/240/orig
2025-11-03T16:15:02.3905345Z  * [new branch]              gh/kwen2501/241/base        -> origin/gh/kwen2501/241/base
2025-11-03T16:15:02.3910752Z  * [new branch]              gh/kwen2501/241/head        -> origin/gh/kwen2501/241/head
2025-11-03T16:15:02.3912762Z  * [new branch]              gh/kwen2501/241/orig        -> origin/gh/kwen2501/241/orig
2025-11-03T16:15:02.3912934Z  * [new branch]              gh/kwen2501/247/base        -> origin/gh/kwen2501/247/base
2025-11-03T16:15:02.3913102Z  * [new branch]              gh/kwen2501/247/head        -> origin/gh/kwen2501/247/head
2025-11-03T16:15:02.3913406Z  * [new branch]              gh/kwen2501/247/orig        -> origin/gh/kwen2501/247/orig
2025-11-03T16:15:02.3913571Z  * [new branch]              gh/kwen2501/252/base        -> origin/gh/kwen2501/252/base
2025-11-03T16:15:02.3913726Z  * [new branch]              gh/kwen2501/252/head        -> origin/gh/kwen2501/252/head
2025-11-03T16:15:02.3913875Z  * [new branch]              gh/kwen2501/252/orig        -> origin/gh/kwen2501/252/orig
2025-11-03T16:15:02.3914019Z  * [new branch]              gh/kwen2501/259/base        -> origin/gh/kwen2501/259/base
2025-11-03T16:15:02.3914170Z  * [new branch]              gh/kwen2501/259/head        -> origin/gh/kwen2501/259/head
2025-11-03T16:15:02.3914313Z  * [new branch]              gh/kwen2501/259/orig        -> origin/gh/kwen2501/259/orig
2025-11-03T16:15:02.3914456Z  * [new branch]              gh/kwen2501/260/base        -> origin/gh/kwen2501/260/base
2025-11-03T16:15:02.3914609Z  * [new branch]              gh/kwen2501/260/head        -> origin/gh/kwen2501/260/head
2025-11-03T16:15:02.3914751Z  * [new branch]              gh/kwen2501/260/orig        -> origin/gh/kwen2501/260/orig
2025-11-03T16:15:02.3914904Z  * [new branch]              gh/kwen2501/268/base        -> origin/gh/kwen2501/268/base
2025-11-03T16:15:02.3915048Z  * [new branch]              gh/kwen2501/268/head        -> origin/gh/kwen2501/268/head
2025-11-03T16:15:02.3915205Z  * [new branch]              gh/kwen2501/268/orig        -> origin/gh/kwen2501/268/orig
2025-11-03T16:15:02.3915349Z  * [new branch]              gh/kwen2501/269/base        -> origin/gh/kwen2501/269/base
2025-11-03T16:15:02.3915490Z  * [new branch]              gh/kwen2501/269/head        -> origin/gh/kwen2501/269/head
2025-11-03T16:15:02.3915643Z  * [new branch]              gh/kwen2501/269/orig        -> origin/gh/kwen2501/269/orig
2025-11-03T16:15:02.3915787Z  * [new branch]              gh/kwen2501/270/base        -> origin/gh/kwen2501/270/base
2025-11-03T16:15:02.3915939Z  * [new branch]              gh/kwen2501/270/head        -> origin/gh/kwen2501/270/head
2025-11-03T16:15:02.3916077Z  * [new branch]              gh/kwen2501/270/orig        -> origin/gh/kwen2501/270/orig
2025-11-03T16:15:02.3916233Z  * [new branch]              gh/kwen2501/271/base        -> origin/gh/kwen2501/271/base
2025-11-03T16:15:02.3916421Z  * [new branch]              gh/kwen2501/271/head        -> origin/gh/kwen2501/271/head
2025-11-03T16:15:02.3916810Z  * [new branch]              gh/kwen2501/271/orig        -> origin/gh/kwen2501/271/orig
2025-11-03T16:15:02.3918061Z  * [new branch]              gh/kwen2501/272/base        -> origin/gh/kwen2501/272/base
2025-11-03T16:15:02.3918561Z  * [new branch]              gh/kwen2501/272/head        -> origin/gh/kwen2501/272/head
2025-11-03T16:15:02.3924281Z  * [new branch]              gh/kwen2501/272/orig        -> origin/gh/kwen2501/272/orig
2025-11-03T16:15:02.3924600Z  * [new branch]              gh/kwen2501/273/base        -> origin/gh/kwen2501/273/base
2025-11-03T16:15:02.3924919Z  * [new branch]              gh/kwen2501/273/head        -> origin/gh/kwen2501/273/head
2025-11-03T16:15:02.3925070Z  * [new branch]              gh/kwen2501/273/orig        -> origin/gh/kwen2501/273/orig
2025-11-03T16:15:02.3925293Z  * [new branch]              gh/kwen2501/274/base        -> origin/gh/kwen2501/274/base
2025-11-03T16:15:02.3925966Z  * [new branch]              gh/kwen2501/274/head        -> origin/gh/kwen2501/274/head
2025-11-03T16:15:02.3926150Z  * [new branch]              gh/kwen2501/274/orig        -> origin/gh/kwen2501/274/orig
2025-11-03T16:15:02.3926391Z  * [new branch]              gh/kwen2501/275/base        -> origin/gh/kwen2501/275/base
2025-11-03T16:15:02.3926529Z  * [new branch]              gh/kwen2501/275/head        -> origin/gh/kwen2501/275/head
2025-11-03T16:15:02.3926667Z  * [new branch]              gh/kwen2501/275/orig        -> origin/gh/kwen2501/275/orig
2025-11-03T16:15:02.3926802Z  * [new branch]              gh/kwen2501/276/base        -> origin/gh/kwen2501/276/base
2025-11-03T16:15:02.3927113Z  * [new branch]              gh/kwen2501/276/head        -> origin/gh/kwen2501/276/head
2025-11-03T16:15:02.3933382Z  * [new branch]              gh/kwen2501/276/orig        -> origin/gh/kwen2501/276/orig
2025-11-03T16:15:02.3933571Z  * [new branch]              gh/kwen2501/277/base        -> origin/gh/kwen2501/277/base
2025-11-03T16:15:02.3933698Z  * [new branch]              gh/kwen2501/277/head        -> origin/gh/kwen2501/277/head
2025-11-03T16:15:02.3933831Z  * [new branch]              gh/kwen2501/277/orig        -> origin/gh/kwen2501/277/orig
2025-11-03T16:15:02.3933955Z  * [new branch]              gh/kwen2501/278/base        -> origin/gh/kwen2501/278/base
2025-11-03T16:15:02.3934076Z  * [new branch]              gh/kwen2501/278/head        -> origin/gh/kwen2501/278/head
2025-11-03T16:15:02.3934211Z  * [new branch]              gh/kwen2501/278/orig        -> origin/gh/kwen2501/278/orig
2025-11-03T16:15:02.3934333Z  * [new branch]              gh/kwen2501/279/base        -> origin/gh/kwen2501/279/base
2025-11-03T16:15:02.3934499Z  * [new branch]              gh/kwen2501/279/head        -> origin/gh/kwen2501/279/head
2025-11-03T16:15:02.3934741Z  * [new branch]              gh/kwen2501/279/orig        -> origin/gh/kwen2501/279/orig
2025-11-03T16:15:02.3935083Z  * [new branch]              gh/laithsakka/251/base      -> origin/gh/laithsakka/251/base
2025-11-03T16:15:02.3935236Z  * [new branch]              gh/laithsakka/251/head      -> origin/gh/laithsakka/251/head
2025-11-03T16:15:02.3935380Z  * [new branch]              gh/laithsakka/251/orig      -> origin/gh/laithsakka/251/orig
2025-11-03T16:15:02.3937570Z  * [new branch]              gh/laithsakka/276/base      -> origin/gh/laithsakka/276/base
2025-11-03T16:15:02.3937735Z  * [new branch]              gh/laithsakka/276/head      -> origin/gh/laithsakka/276/head
2025-11-03T16:15:02.3937869Z  * [new branch]              gh/laithsakka/276/orig      -> origin/gh/laithsakka/276/orig
2025-11-03T16:15:02.3938139Z  * [new branch]              gh/laithsakka/28/base       -> origin/gh/laithsakka/28/base
2025-11-03T16:15:02.3942132Z  * [new branch]              gh/laithsakka/285/base      -> origin/gh/laithsakka/285/base
2025-11-03T16:15:02.3942295Z  * [new branch]              gh/laithsakka/285/head      -> origin/gh/laithsakka/285/head
2025-11-03T16:15:02.3942587Z  * [new branch]              gh/laithsakka/285/orig      -> origin/gh/laithsakka/285/orig
2025-11-03T16:15:02.3942738Z  * [new branch]              gh/laithsakka/287/base      -> origin/gh/laithsakka/287/base
2025-11-03T16:15:02.3942876Z  * [new branch]              gh/laithsakka/287/head      -> origin/gh/laithsakka/287/head
2025-11-03T16:15:02.3947048Z  * [new branch]              gh/laithsakka/287/orig      -> origin/gh/laithsakka/287/orig
2025-11-03T16:15:02.3947214Z  * [new branch]              gh/laithsakka/289/base      -> origin/gh/laithsakka/289/base
2025-11-03T16:15:02.3947363Z  * [new branch]              gh/laithsakka/289/head      -> origin/gh/laithsakka/289/head
2025-11-03T16:15:02.3947523Z  * [new branch]              gh/laithsakka/289/orig      -> origin/gh/laithsakka/289/orig
2025-11-03T16:15:02.3948458Z  * [new branch]              gh/laithsakka/29/base       -> origin/gh/laithsakka/29/base
2025-11-03T16:15:02.3948616Z  * [new branch]              gh/laithsakka/292/base      -> origin/gh/laithsakka/292/base
2025-11-03T16:15:02.3948923Z  * [new branch]              gh/laithsakka/292/head      -> origin/gh/laithsakka/292/head
2025-11-03T16:15:02.3949081Z  * [new branch]              gh/laithsakka/292/orig      -> origin/gh/laithsakka/292/orig
2025-11-03T16:15:02.3949221Z  * [new branch]              gh/laithsakka/293/base      -> origin/gh/laithsakka/293/base
2025-11-03T16:15:02.3949363Z  * [new branch]              gh/laithsakka/293/head      -> origin/gh/laithsakka/293/head
2025-11-03T16:15:02.3952208Z  * [new branch]              gh/laithsakka/293/orig      -> origin/gh/laithsakka/293/orig
2025-11-03T16:15:02.3952804Z  * [new branch]              gh/laithsakka/294/base      -> origin/gh/laithsakka/294/base
2025-11-03T16:15:02.3953214Z  * [new branch]              gh/laithsakka/294/head      -> origin/gh/laithsakka/294/head
2025-11-03T16:15:02.3953403Z  * [new branch]              gh/laithsakka/294/orig      -> origin/gh/laithsakka/294/orig
2025-11-03T16:15:02.3953576Z  * [new branch]              gh/laithsakka/295/base      -> origin/gh/laithsakka/295/base
2025-11-03T16:15:02.3953740Z  * [new branch]              gh/laithsakka/295/head      -> origin/gh/laithsakka/295/head
2025-11-03T16:15:02.3955603Z  * [new branch]              gh/laithsakka/295/orig      -> origin/gh/laithsakka/295/orig
2025-11-03T16:15:02.3956235Z  * [new branch]              gh/laithsakka/296/base      -> origin/gh/laithsakka/296/base
2025-11-03T16:15:02.3956407Z  * [new branch]              gh/laithsakka/296/head      -> origin/gh/laithsakka/296/head
2025-11-03T16:15:02.3956551Z  * [new branch]              gh/laithsakka/296/orig      -> origin/gh/laithsakka/296/orig
2025-11-03T16:15:02.3956760Z  * [new branch]              gh/laithsakka/297/base      -> origin/gh/laithsakka/297/base
2025-11-03T16:15:02.3963946Z  * [new branch]              gh/laithsakka/297/head      -> origin/gh/laithsakka/297/head
2025-11-03T16:15:02.3967970Z  * [new branch]              gh/laithsakka/297/orig      -> origin/gh/laithsakka/297/orig
2025-11-03T16:15:02.3972141Z  * [new branch]              gh/laithsakka/298/base      -> origin/gh/laithsakka/298/base
2025-11-03T16:15:02.3976149Z  * [new branch]              gh/laithsakka/298/head      -> origin/gh/laithsakka/298/head
2025-11-03T16:15:02.3977864Z  * [new branch]              gh/laithsakka/298/orig      -> origin/gh/laithsakka/298/orig
2025-11-03T16:15:02.3978033Z  * [new branch]              gh/laithsakka/299/base      -> origin/gh/laithsakka/299/base
2025-11-03T16:15:02.3978179Z  * [new branch]              gh/laithsakka/299/head      -> origin/gh/laithsakka/299/head
2025-11-03T16:15:02.3978311Z  * [new branch]              gh/laithsakka/299/orig      -> origin/gh/laithsakka/299/orig
2025-11-03T16:15:02.3978479Z  * [new branch]              gh/laithsakka/30/base       -> origin/gh/laithsakka/30/base
2025-11-03T16:15:02.3978614Z  * [new branch]              gh/laithsakka/30/head       -> origin/gh/laithsakka/30/head
2025-11-03T16:15:02.3978969Z  * [new branch]              gh/laithsakka/300/base      -> origin/gh/laithsakka/300/base
2025-11-03T16:15:02.3979102Z  * [new branch]              gh/laithsakka/300/head      -> origin/gh/laithsakka/300/head
2025-11-03T16:15:02.3979234Z  * [new branch]              gh/laithsakka/300/orig      -> origin/gh/laithsakka/300/orig
2025-11-03T16:15:02.3979370Z  * [new branch]              gh/laithsakka/301/base      -> origin/gh/laithsakka/301/base
2025-11-03T16:15:02.3979498Z  * [new branch]              gh/laithsakka/301/head      -> origin/gh/laithsakka/301/head
2025-11-03T16:15:02.3979636Z  * [new branch]              gh/laithsakka/301/orig      -> origin/gh/laithsakka/301/orig
2025-11-03T16:15:02.3979772Z  * [new branch]              gh/laithsakka/302/base      -> origin/gh/laithsakka/302/base
2025-11-03T16:15:02.3979901Z  * [new branch]              gh/laithsakka/302/head      -> origin/gh/laithsakka/302/head
2025-11-03T16:15:02.3980038Z  * [new branch]              gh/laithsakka/302/orig      -> origin/gh/laithsakka/302/orig
2025-11-03T16:15:02.3980170Z  * [new branch]              gh/laithsakka/303/base      -> origin/gh/laithsakka/303/base
2025-11-03T16:15:02.3980309Z  * [new branch]              gh/laithsakka/303/head      -> origin/gh/laithsakka/303/head
2025-11-03T16:15:02.3983020Z  * [new branch]              gh/laithsakka/303/orig      -> origin/gh/laithsakka/303/orig
2025-11-03T16:15:02.3983677Z  * [new branch]              gh/laithsakka/304/base      -> origin/gh/laithsakka/304/base
2025-11-03T16:15:02.3983957Z  * [new branch]              gh/laithsakka/304/head      -> origin/gh/laithsakka/304/head
2025-11-03T16:15:02.3988747Z  * [new branch]              gh/laithsakka/304/orig      -> origin/gh/laithsakka/304/orig
2025-11-03T16:15:02.3993581Z  * [new branch]              gh/laithsakka/305/base      -> origin/gh/laithsakka/305/base
2025-11-03T16:15:02.3993779Z  * [new branch]              gh/laithsakka/305/head      -> origin/gh/laithsakka/305/head
2025-11-03T16:15:02.3993937Z  * [new branch]              gh/laithsakka/305/orig      -> origin/gh/laithsakka/305/orig
2025-11-03T16:15:02.3994068Z  * [new branch]              gh/laithsakka/306/base      -> origin/gh/laithsakka/306/base
2025-11-03T16:15:02.3994203Z  * [new branch]              gh/laithsakka/306/head      -> origin/gh/laithsakka/306/head
2025-11-03T16:15:02.3994342Z  * [new branch]              gh/laithsakka/306/orig      -> origin/gh/laithsakka/306/orig
2025-11-03T16:15:02.3994474Z  * [new branch]              gh/laithsakka/307/base      -> origin/gh/laithsakka/307/base
2025-11-03T16:15:02.3994610Z  * [new branch]              gh/laithsakka/307/head      -> origin/gh/laithsakka/307/head
2025-11-03T16:15:02.3994740Z  * [new branch]              gh/laithsakka/307/orig      -> origin/gh/laithsakka/307/orig
2025-11-03T16:15:02.3994879Z  * [new branch]              gh/laithsakka/308/base      -> origin/gh/laithsakka/308/base
2025-11-03T16:15:02.3995007Z  * [new branch]              gh/laithsakka/308/head      -> origin/gh/laithsakka/308/head
2025-11-03T16:15:02.3995143Z  * [new branch]              gh/laithsakka/308/orig      -> origin/gh/laithsakka/308/orig
2025-11-03T16:15:02.3995281Z  * [new branch]              gh/laithsakka/309/base      -> origin/gh/laithsakka/309/base
2025-11-03T16:15:02.3995411Z  * [new branch]              gh/laithsakka/309/head      -> origin/gh/laithsakka/309/head
2025-11-03T16:15:02.3995546Z  * [new branch]              gh/laithsakka/309/orig      -> origin/gh/laithsakka/309/orig
2025-11-03T16:15:02.3995682Z  * [new branch]              gh/laithsakka/31/base       -> origin/gh/laithsakka/31/base
2025-11-03T16:15:02.3995822Z  * [new branch]              gh/laithsakka/31/head       -> origin/gh/laithsakka/31/head
2025-11-03T16:15:02.3995954Z  * [new branch]              gh/laithsakka/310/base      -> origin/gh/laithsakka/310/base
2025-11-03T16:15:02.3996082Z  * [new branch]              gh/laithsakka/310/head      -> origin/gh/laithsakka/310/head
2025-11-03T16:15:02.3996219Z  * [new branch]              gh/laithsakka/310/orig      -> origin/gh/laithsakka/310/orig
2025-11-03T16:15:02.3996416Z  * [new branch]              gh/laithsakka/311/base      -> origin/gh/laithsakka/311/base
2025-11-03T16:15:02.3996550Z  * [new branch]              gh/laithsakka/311/head      -> origin/gh/laithsakka/311/head
2025-11-03T16:15:02.3996679Z  * [new branch]              gh/laithsakka/311/orig      -> origin/gh/laithsakka/311/orig
2025-11-03T16:15:02.3997847Z  * [new branch]              gh/laithsakka/312/base      -> origin/gh/laithsakka/312/base
2025-11-03T16:15:02.3998148Z  * [new branch]              gh/laithsakka/312/head      -> origin/gh/laithsakka/312/head
2025-11-03T16:15:02.3998386Z  * [new branch]              gh/laithsakka/312/orig      -> origin/gh/laithsakka/312/orig
2025-11-03T16:15:02.3998554Z  * [new branch]              gh/laithsakka/313/base      -> origin/gh/laithsakka/313/base
2025-11-03T16:15:02.3998702Z  * [new branch]              gh/laithsakka/313/head      -> origin/gh/laithsakka/313/head
2025-11-03T16:15:02.3998875Z  * [new branch]              gh/laithsakka/313/orig      -> origin/gh/laithsakka/313/orig
2025-11-03T16:15:02.4003497Z  * [new branch]              gh/laithsakka/314/base      -> origin/gh/laithsakka/314/base
2025-11-03T16:15:02.4003637Z  * [new branch]              gh/laithsakka/314/head      -> origin/gh/laithsakka/314/head
2025-11-03T16:15:02.4003783Z  * [new branch]              gh/laithsakka/314/orig      -> origin/gh/laithsakka/314/orig
2025-11-03T16:15:02.4003916Z  * [new branch]              gh/laithsakka/315/base      -> origin/gh/laithsakka/315/base
2025-11-03T16:15:02.4004054Z  * [new branch]              gh/laithsakka/315/head      -> origin/gh/laithsakka/315/head
2025-11-03T16:15:02.4004251Z  * [new branch]              gh/laithsakka/315/orig      -> origin/gh/laithsakka/315/orig
2025-11-03T16:15:02.4004386Z  * [new branch]              gh/laithsakka/316/base      -> origin/gh/laithsakka/316/base
2025-11-03T16:15:02.4007306Z  * [new branch]              gh/laithsakka/316/head      -> origin/gh/laithsakka/316/head
2025-11-03T16:15:02.4007490Z  * [new branch]              gh/laithsakka/316/orig      -> origin/gh/laithsakka/316/orig
2025-11-03T16:15:02.4007638Z  * [new branch]              gh/laithsakka/317/base      -> origin/gh/laithsakka/317/base
2025-11-03T16:15:02.4007771Z  * [new branch]              gh/laithsakka/317/head      -> origin/gh/laithsakka/317/head
2025-11-03T16:15:02.4007912Z  * [new branch]              gh/laithsakka/317/orig      -> origin/gh/laithsakka/317/orig
2025-11-03T16:15:02.4009417Z  * [new branch]              gh/laithsakka/318/base      -> origin/gh/laithsakka/318/base
2025-11-03T16:15:02.4009639Z  * [new branch]              gh/laithsakka/318/head      -> origin/gh/laithsakka/318/head
2025-11-03T16:15:02.4009791Z  * [new branch]              gh/laithsakka/318/orig      -> origin/gh/laithsakka/318/orig
2025-11-03T16:15:02.4009936Z  * [new branch]              gh/laithsakka/319/base      -> origin/gh/laithsakka/319/base
2025-11-03T16:15:02.4010073Z  * [new branch]              gh/laithsakka/319/head      -> origin/gh/laithsakka/319/head
2025-11-03T16:15:02.4010215Z  * [new branch]              gh/laithsakka/319/orig      -> origin/gh/laithsakka/319/orig
2025-11-03T16:15:02.4012382Z  * [new branch]              gh/laithsakka/32/base       -> origin/gh/laithsakka/32/base
2025-11-03T16:15:02.4012697Z  * [new branch]              gh/laithsakka/32/head       -> origin/gh/laithsakka/32/head
2025-11-03T16:15:02.4012847Z  * [new branch]              gh/laithsakka/320/base      -> origin/gh/laithsakka/320/base
2025-11-03T16:15:02.4012985Z  * [new branch]              gh/laithsakka/320/head      -> origin/gh/laithsakka/320/head
2025-11-03T16:15:02.4016674Z  * [new branch]              gh/laithsakka/320/orig      -> origin/gh/laithsakka/320/orig
2025-11-03T16:15:02.4016853Z  * [new branch]              gh/laithsakka/321/base      -> origin/gh/laithsakka/321/base
2025-11-03T16:15:02.4016996Z  * [new branch]              gh/laithsakka/321/head      -> origin/gh/laithsakka/321/head
2025-11-03T16:15:02.4017289Z  * [new branch]              gh/laithsakka/321/orig      -> origin/gh/laithsakka/321/orig
2025-11-03T16:15:02.4017440Z  * [new branch]              gh/liangel-02/1/base        -> origin/gh/liangel-02/1/base
2025-11-03T16:15:02.4020715Z  * [new branch]              gh/liangel-02/1/head        -> origin/gh/liangel-02/1/head
2025-11-03T16:15:02.4020959Z  * [new branch]              gh/liangel-02/1/orig        -> origin/gh/liangel-02/1/orig
2025-11-03T16:15:02.4021098Z  * [new branch]              gh/liangel-02/2/base        -> origin/gh/liangel-02/2/base
2025-11-03T16:15:02.4021227Z  * [new branch]              gh/liangel-02/2/head        -> origin/gh/liangel-02/2/head
2025-11-03T16:15:02.4021384Z  * [new branch]              gh/liangel-02/2/orig        -> origin/gh/liangel-02/2/orig
2025-11-03T16:15:02.4021526Z  * [new branch]              gh/liangel/1/base           -> origin/gh/liangel/1/base
2025-11-03T16:15:02.4026092Z  * [new branch]              gh/liangel/1/head           -> origin/gh/liangel/1/head
2025-11-03T16:15:02.4026271Z  * [new branch]              gh/liangel/1/orig           -> origin/gh/liangel/1/orig
2025-11-03T16:15:02.4026406Z  * [new branch]              gh/liangel/2/base           -> origin/gh/liangel/2/base
2025-11-03T16:15:02.4026534Z  * [new branch]              gh/liangel/2/head           -> origin/gh/liangel/2/head
2025-11-03T16:15:02.4026667Z  * [new branch]              gh/liangel/2/orig           -> origin/gh/liangel/2/orig
2025-11-03T16:15:02.4030572Z  * [new branch]              gh/liangel/3/base           -> origin/gh/liangel/3/base
2025-11-03T16:15:02.4030736Z  * [new branch]              gh/liangel/3/head           -> origin/gh/liangel/3/head
2025-11-03T16:15:02.4031025Z  * [new branch]              gh/liangel/3/orig           -> origin/gh/liangel/3/orig
2025-11-03T16:15:02.4031153Z  * [new branch]              gh/liangel/4/base           -> origin/gh/liangel/4/base
2025-11-03T16:15:02.4031286Z  * [new branch]              gh/liangel/4/head           -> origin/gh/liangel/4/head
2025-11-03T16:15:02.4031410Z  * [new branch]              gh/liangel/4/orig           -> origin/gh/liangel/4/orig
2025-11-03T16:15:02.4033220Z  * [new branch]              gh/lucaskabela/1/base       -> origin/gh/lucaskabela/1/base
2025-11-03T16:15:02.4033531Z  * [new branch]              gh/lucaskabela/1/head       -> origin/gh/lucaskabela/1/head
2025-11-03T16:15:02.4033768Z  * [new branch]              gh/lucaskabela/10/base      -> origin/gh/lucaskabela/10/base
2025-11-03T16:15:02.4034018Z  * [new branch]              gh/lucaskabela/10/head      -> origin/gh/lucaskabela/10/head
2025-11-03T16:15:02.4038813Z  * [new branch]              gh/lucaskabela/10/orig      -> origin/gh/lucaskabela/10/orig
2025-11-03T16:15:02.4039016Z  * [new branch]              gh/lucaskabela/2/base       -> origin/gh/lucaskabela/2/base
2025-11-03T16:15:02.4039172Z  * [new branch]              gh/lucaskabela/2/head       -> origin/gh/lucaskabela/2/head
2025-11-03T16:15:02.4039318Z  * [new branch]              gh/lucaskabela/3/base       -> origin/gh/lucaskabela/3/base
2025-11-03T16:15:02.4039470Z  * [new branch]              gh/lucaskabela/3/head       -> origin/gh/lucaskabela/3/head
2025-11-03T16:15:02.4039629Z  * [new branch]              gh/lucaskabela/3/orig       -> origin/gh/lucaskabela/3/orig
2025-11-03T16:15:02.4039779Z  * [new branch]              gh/lucaskabela/4/base       -> origin/gh/lucaskabela/4/base
2025-11-03T16:15:02.4044200Z  * [new branch]              gh/lucaskabela/4/head       -> origin/gh/lucaskabela/4/head
2025-11-03T16:15:02.4044395Z  * [new branch]              gh/lucaskabela/4/orig       -> origin/gh/lucaskabela/4/orig
2025-11-03T16:15:02.4044556Z  * [new branch]              gh/lucaskabela/5/base       -> origin/gh/lucaskabela/5/base
2025-11-03T16:15:02.4044708Z  * [new branch]              gh/lucaskabela/5/head       -> origin/gh/lucaskabela/5/head
2025-11-03T16:15:02.4044850Z  * [new branch]              gh/lucaskabela/5/orig       -> origin/gh/lucaskabela/5/orig
2025-11-03T16:15:02.4045151Z  * [new branch]              gh/lucaskabela/6/base       -> origin/gh/lucaskabela/6/base
2025-11-03T16:15:02.4046694Z  * [new branch]              gh/lucaskabela/6/head       -> origin/gh/lucaskabela/6/head
2025-11-03T16:15:02.4046873Z  * [new branch]              gh/lucaskabela/6/orig       -> origin/gh/lucaskabela/6/orig
2025-11-03T16:15:02.4047009Z  * [new branch]              gh/lucaskabela/7/base       -> origin/gh/lucaskabela/7/base
2025-11-03T16:15:02.4047156Z  * [new branch]              gh/lucaskabela/7/head       -> origin/gh/lucaskabela/7/head
2025-11-03T16:15:02.4047292Z  * [new branch]              gh/lucaskabela/7/orig       -> origin/gh/lucaskabela/7/orig
2025-11-03T16:15:02.4047446Z  * [new branch]              gh/lucaskabela/8/base       -> origin/gh/lucaskabela/8/base
2025-11-03T16:15:02.4047576Z  * [new branch]              gh/lucaskabela/8/head       -> origin/gh/lucaskabela/8/head
2025-11-03T16:15:02.4047705Z  * [new branch]              gh/lucaskabela/8/orig       -> origin/gh/lucaskabela/8/orig
2025-11-03T16:15:02.4054559Z  * [new branch]              gh/lucaskabela/9/base       -> origin/gh/lucaskabela/9/base
2025-11-03T16:15:02.4059161Z  * [new branch]              gh/lucaskabela/9/head       -> origin/gh/lucaskabela/9/head
2025-11-03T16:15:02.4059322Z  * [new branch]              gh/lucaskabela/9/orig       -> origin/gh/lucaskabela/9/orig
2025-11-03T16:15:02.4059480Z  * [new branch]              gh/lw/10/base               -> origin/gh/lw/10/base
2025-11-03T16:15:02.4059596Z  * [new branch]              gh/lw/10/head               -> origin/gh/lw/10/head
2025-11-03T16:15:02.4059714Z  * [new branch]              gh/lw/10/orig               -> origin/gh/lw/10/orig
2025-11-03T16:15:02.4059981Z  * [new branch]              gh/lw/3/base                -> origin/gh/lw/3/base
2025-11-03T16:15:02.4060096Z  * [new branch]              gh/lw/3/head                -> origin/gh/lw/3/head
2025-11-03T16:15:02.4060216Z  * [new branch]              gh/lw/3/orig                -> origin/gh/lw/3/orig
2025-11-03T16:15:02.4060336Z  * [new branch]              gh/lw/4/base                -> origin/gh/lw/4/base
2025-11-03T16:15:02.4060465Z  * [new branch]              gh/lw/4/head                -> origin/gh/lw/4/head
2025-11-03T16:15:02.4060571Z  * [new branch]              gh/lw/4/orig                -> origin/gh/lw/4/orig
2025-11-03T16:15:02.4060684Z  * [new branch]              gh/lw/5/base                -> origin/gh/lw/5/base
2025-11-03T16:15:02.4060803Z  * [new branch]              gh/lw/5/head                -> origin/gh/lw/5/head
2025-11-03T16:15:02.4060910Z  * [new branch]              gh/lw/5/orig                -> origin/gh/lw/5/orig
2025-11-03T16:15:02.4061022Z  * [new branch]              gh/lw/6/base                -> origin/gh/lw/6/base
2025-11-03T16:15:02.4061132Z  * [new branch]              gh/lw/6/head                -> origin/gh/lw/6/head
2025-11-03T16:15:02.4061464Z  * [new branch]              gh/lw/6/orig                -> origin/gh/lw/6/orig
2025-11-03T16:15:02.4061578Z  * [new branch]              gh/lw/7/base                -> origin/gh/lw/7/base
2025-11-03T16:15:02.4061692Z  * [new branch]              gh/lw/7/head                -> origin/gh/lw/7/head
2025-11-03T16:15:02.4061808Z  * [new branch]              gh/lw/7/orig                -> origin/gh/lw/7/orig
2025-11-03T16:15:02.4061919Z  * [new branch]              gh/lw/8/base                -> origin/gh/lw/8/base
2025-11-03T16:15:02.4062901Z  * [new branch]              gh/lw/8/head                -> origin/gh/lw/8/head
2025-11-03T16:15:02.4063279Z  * [new branch]              gh/lw/8/orig                -> origin/gh/lw/8/orig
2025-11-03T16:15:02.4067633Z  * [new branch]              gh/lw/9/base                -> origin/gh/lw/9/base
2025-11-03T16:15:02.4067801Z  * [new branch]              gh/lw/9/head                -> origin/gh/lw/9/head
2025-11-03T16:15:02.4067920Z  * [new branch]              gh/lw/9/orig                -> origin/gh/lw/9/orig
2025-11-03T16:15:02.4068067Z  * [new branch]              gh/maggiemoss/1/base        -> origin/gh/maggiemoss/1/base
2025-11-03T16:15:02.4068420Z  * [new branch]              gh/maggiemoss/1/head        -> origin/gh/maggiemoss/1/head
2025-11-03T16:15:02.4068551Z  * [new branch]              gh/maggiemoss/1/orig        -> origin/gh/maggiemoss/1/orig
2025-11-03T16:15:02.4071879Z  * [new branch]              gh/maggiemoss/2/base        -> origin/gh/maggiemoss/2/base
2025-11-03T16:15:02.4072055Z  * [new branch]              gh/maggiemoss/2/head        -> origin/gh/maggiemoss/2/head
2025-11-03T16:15:02.4072218Z  * [new branch]              gh/maggiemoss/2/orig        -> origin/gh/maggiemoss/2/orig
2025-11-03T16:15:02.4072421Z  * [new branch]              gh/malfet/14/base           -> origin/gh/malfet/14/base
2025-11-03T16:15:02.4072682Z  * [new branch]              gh/malfet/417/base          -> origin/gh/malfet/417/base
2025-11-03T16:15:02.4072833Z  * [new branch]              gh/malfet/417/head          -> origin/gh/malfet/417/head
2025-11-03T16:15:02.4073027Z  * [new branch]              gh/malfet/417/orig          -> origin/gh/malfet/417/orig
2025-11-03T16:15:02.4073193Z  * [new branch]              gh/malfet/506/base          -> origin/gh/malfet/506/base
2025-11-03T16:15:02.4074314Z  * [new branch]              gh/malfet/506/head          -> origin/gh/malfet/506/head
2025-11-03T16:15:02.4074655Z  * [new branch]              gh/malfet/506/orig          -> origin/gh/malfet/506/orig
2025-11-03T16:15:02.4075734Z  * [new branch]              gh/malfet/517/base          -> origin/gh/malfet/517/base
2025-11-03T16:15:02.4075994Z  * [new branch]              gh/malfet/517/head          -> origin/gh/malfet/517/head
2025-11-03T16:15:02.4077122Z  * [new branch]              gh/malfet/528/base          -> origin/gh/malfet/528/base
2025-11-03T16:15:02.4077622Z  * [new branch]              gh/malfet/528/head          -> origin/gh/malfet/528/head
2025-11-03T16:15:02.4078523Z  * [new branch]              gh/malfet/528/orig          -> origin/gh/malfet/528/orig
2025-11-03T16:15:02.4079378Z  * [new branch]              gh/malfet/537/base          -> origin/gh/malfet/537/base
2025-11-03T16:15:02.4079750Z  * [new branch]              gh/malfet/537/head          -> origin/gh/malfet/537/head
2025-11-03T16:15:02.4083575Z  * [new branch]              gh/malfet/537/orig          -> origin/gh/malfet/537/orig
2025-11-03T16:15:02.4083742Z  * [new branch]              gh/malfet/546/base          -> origin/gh/malfet/546/base
2025-11-03T16:15:02.4083889Z  * [new branch]              gh/malfet/546/head          -> origin/gh/malfet/546/head
2025-11-03T16:15:02.4084025Z  * [new branch]              gh/malfet/546/orig          -> origin/gh/malfet/546/orig
2025-11-03T16:15:02.4084169Z  * [new branch]              gh/malfet/547/base          -> origin/gh/malfet/547/base
2025-11-03T16:15:02.4084490Z  * [new branch]              gh/malfet/547/head          -> origin/gh/malfet/547/head
2025-11-03T16:15:02.4084653Z  * [new branch]              gh/malfet/547/orig          -> origin/gh/malfet/547/orig
2025-11-03T16:15:02.4086149Z  * [new branch]              gh/malfet/548/base          -> origin/gh/malfet/548/base
2025-11-03T16:15:02.4086299Z  * [new branch]              gh/malfet/548/head          -> origin/gh/malfet/548/head
2025-11-03T16:15:02.4087518Z  * [new branch]              gh/malfet/548/orig          -> origin/gh/malfet/548/orig
2025-11-03T16:15:02.4088233Z  * [new branch]              gh/malfet/549/base          -> origin/gh/malfet/549/base
2025-11-03T16:15:02.4088736Z  * [new branch]              gh/malfet/549/head          -> origin/gh/malfet/549/head
2025-11-03T16:15:02.4089724Z  * [new branch]              gh/malfet/549/orig          -> origin/gh/malfet/549/orig
2025-11-03T16:15:02.4090803Z  * [new branch]              gh/malfet/550/base          -> origin/gh/malfet/550/base
2025-11-03T16:15:02.4091276Z  * [new branch]              gh/malfet/550/head          -> origin/gh/malfet/550/head
2025-11-03T16:15:02.4091897Z  * [new branch]              gh/malfet/550/orig          -> origin/gh/malfet/550/orig
2025-11-03T16:15:02.4092820Z  * [new branch]              gh/malfet/551/base          -> origin/gh/malfet/551/base
2025-11-03T16:15:02.4093120Z  * [new branch]              gh/malfet/551/head          -> origin/gh/malfet/551/head
2025-11-03T16:15:02.4094121Z  * [new branch]              gh/malfet/551/orig          -> origin/gh/malfet/551/orig
2025-11-03T16:15:02.4095009Z  * [new branch]              gh/malfet/552/base          -> origin/gh/malfet/552/base
2025-11-03T16:15:02.4095286Z  * [new branch]              gh/malfet/552/head          -> origin/gh/malfet/552/head
2025-11-03T16:15:02.4096326Z  * [new branch]              gh/malfet/552/orig          -> origin/gh/malfet/552/orig
2025-11-03T16:15:02.4096873Z  * [new branch]              gh/malfet/553/base          -> origin/gh/malfet/553/base
2025-11-03T16:15:02.4097581Z  * [new branch]              gh/malfet/553/head          -> origin/gh/malfet/553/head
2025-11-03T16:15:02.4098011Z  * [new branch]              gh/malfet/553/orig          -> origin/gh/malfet/553/orig
2025-11-03T16:15:02.4099166Z  * [new branch]              gh/malfet/554/base          -> origin/gh/malfet/554/base
2025-11-03T16:15:02.4099461Z  * [new branch]              gh/malfet/554/head          -> origin/gh/malfet/554/head
2025-11-03T16:15:02.4100346Z  * [new branch]              gh/malfet/554/orig          -> origin/gh/malfet/554/orig
2025-11-03T16:15:02.4101100Z  * [new branch]              gh/malfet/555/base          -> origin/gh/malfet/555/base
2025-11-03T16:15:02.4101491Z  * [new branch]              gh/malfet/555/head          -> origin/gh/malfet/555/head
2025-11-03T16:15:02.4102391Z  * [new branch]              gh/malfet/555/orig          -> origin/gh/malfet/555/orig
2025-11-03T16:15:02.4102946Z  * [new branch]              gh/malfet/556/base          -> origin/gh/malfet/556/base
2025-11-03T16:15:02.4103870Z  * [new branch]              gh/malfet/556/head          -> origin/gh/malfet/556/head
2025-11-03T16:15:02.4104293Z  * [new branch]              gh/malfet/556/orig          -> origin/gh/malfet/556/orig
2025-11-03T16:15:02.4105707Z  * [new branch]              gh/malfet/557/base          -> origin/gh/malfet/557/base
2025-11-03T16:15:02.4108021Z  * [new branch]              gh/malfet/557/head          -> origin/gh/malfet/557/head
2025-11-03T16:15:02.4108226Z  * [new branch]              gh/malfet/557/orig          -> origin/gh/malfet/557/orig
2025-11-03T16:15:02.4108352Z  * [new branch]              gh/malfet/558/base          -> origin/gh/malfet/558/base
2025-11-03T16:15:02.4108488Z  * [new branch]              gh/malfet/558/head          -> origin/gh/malfet/558/head
2025-11-03T16:15:02.4108772Z  * [new branch]              gh/malfet/558/orig          -> origin/gh/malfet/558/orig
2025-11-03T16:15:02.4109898Z  * [new branch]              gh/malfet/559/base          -> origin/gh/malfet/559/base
2025-11-03T16:15:02.4110171Z  * [new branch]              gh/malfet/559/head          -> origin/gh/malfet/559/head
2025-11-03T16:15:02.4111113Z  * [new branch]              gh/malfet/559/orig          -> origin/gh/malfet/559/orig
2025-11-03T16:15:02.4111988Z  * [new branch]              gh/malfet/560/base          -> origin/gh/malfet/560/base
2025-11-03T16:15:02.4112234Z  * [new branch]              gh/malfet/560/head          -> origin/gh/malfet/560/head
2025-11-03T16:15:02.4113350Z  * [new branch]              gh/malfet/560/orig          -> origin/gh/malfet/560/orig
2025-11-03T16:15:02.4114502Z  * [new branch]              gh/malfet/561/base          -> origin/gh/malfet/561/base
2025-11-03T16:15:02.4114806Z  * [new branch]              gh/malfet/561/head          -> origin/gh/malfet/561/head
2025-11-03T16:15:02.4115310Z  * [new branch]              gh/malfet/561/orig          -> origin/gh/malfet/561/orig
2025-11-03T16:15:02.4116469Z  * [new branch]              gh/malfet/562/base          -> origin/gh/malfet/562/base
2025-11-03T16:15:02.4116749Z  * [new branch]              gh/malfet/562/head          -> origin/gh/malfet/562/head
2025-11-03T16:15:02.4118011Z  * [new branch]              gh/malfet/562/orig          -> origin/gh/malfet/562/orig
2025-11-03T16:15:02.4118725Z  * [new branch]              gh/malfet/563/base          -> origin/gh/malfet/563/base
2025-11-03T16:15:02.4119476Z  * [new branch]              gh/malfet/563/head          -> origin/gh/malfet/563/head
2025-11-03T16:15:02.4119774Z  * [new branch]              gh/malfet/563/orig          -> origin/gh/malfet/563/orig
2025-11-03T16:15:02.4121059Z  * [new branch]              gh/malfet/564/base          -> origin/gh/malfet/564/base
2025-11-03T16:15:02.4121399Z  * [new branch]              gh/malfet/564/head          -> origin/gh/malfet/564/head
2025-11-03T16:15:02.4123725Z  * [new branch]              gh/malfet/564/orig          -> origin/gh/malfet/564/orig
2025-11-03T16:15:02.4123906Z  * [new branch]              gh/malfet/565/base          -> origin/gh/malfet/565/base
2025-11-03T16:15:02.4124042Z  * [new branch]              gh/malfet/565/head          -> origin/gh/malfet/565/head
2025-11-03T16:15:02.4125985Z  * [new branch]              gh/malfet/565/orig          -> origin/gh/malfet/565/orig
2025-11-03T16:15:02.4126350Z  * [new branch]              gh/malfet/566/base          -> origin/gh/malfet/566/base
2025-11-03T16:15:02.4126591Z  * [new branch]              gh/malfet/566/head          -> origin/gh/malfet/566/head
2025-11-03T16:15:02.4126781Z  * [new branch]              gh/malfet/566/orig          -> origin/gh/malfet/566/orig
2025-11-03T16:15:02.4127281Z  * [new branch]              gh/malfet/567/base          -> origin/gh/malfet/567/base
2025-11-03T16:15:02.4128580Z  * [new branch]              gh/malfet/567/head          -> origin/gh/malfet/567/head
2025-11-03T16:15:02.4128886Z  * [new branch]              gh/malfet/567/orig          -> origin/gh/malfet/567/orig
2025-11-03T16:15:02.4131731Z  * [new branch]              gh/malfet/568/base          -> origin/gh/malfet/568/base
2025-11-03T16:15:02.4132100Z  * [new branch]              gh/malfet/568/head          -> origin/gh/malfet/568/head
2025-11-03T16:15:02.4132342Z  * [new branch]              gh/malfet/568/orig          -> origin/gh/malfet/568/orig
2025-11-03T16:15:02.4132509Z  * [new branch]              gh/malfet/569/base          -> origin/gh/malfet/569/base
2025-11-03T16:15:02.4132650Z  * [new branch]              gh/malfet/569/head          -> origin/gh/malfet/569/head
2025-11-03T16:15:02.4137999Z  * [new branch]              gh/malfet/569/orig          -> origin/gh/malfet/569/orig
2025-11-03T16:15:02.4138307Z  * [new branch]              gh/malfet/570/base          -> origin/gh/malfet/570/base
2025-11-03T16:15:02.4138598Z  * [new branch]              gh/malfet/570/head          -> origin/gh/malfet/570/head
2025-11-03T16:15:02.4138741Z  * [new branch]              gh/malfet/570/orig          -> origin/gh/malfet/570/orig
2025-11-03T16:15:02.4142737Z  * [new branch]              gh/malfet/571/base          -> origin/gh/malfet/571/base
2025-11-03T16:15:02.4147542Z  * [new branch]              gh/malfet/571/head          -> origin/gh/malfet/571/head
2025-11-03T16:15:02.4149558Z  * [new branch]              gh/malfet/571/orig          -> origin/gh/malfet/571/orig
2025-11-03T16:15:02.4149835Z  * [new branch]              gh/malfet/572/base          -> origin/gh/malfet/572/base
2025-11-03T16:15:02.4153842Z  * [new branch]              gh/malfet/572/head          -> origin/gh/malfet/572/head
2025-11-03T16:15:02.4154145Z  * [new branch]              gh/malfet/572/orig          -> origin/gh/malfet/572/orig
2025-11-03T16:15:02.4154356Z  * [new branch]              gh/malfet/573/base          -> origin/gh/malfet/573/base
2025-11-03T16:15:02.4154481Z  * [new branch]              gh/malfet/573/head          -> origin/gh/malfet/573/head
2025-11-03T16:15:02.4154736Z  * [new branch]              gh/malfet/573/orig          -> origin/gh/malfet/573/orig
2025-11-03T16:15:02.4154894Z  * [new branch]              gh/malfet/574/base          -> origin/gh/malfet/574/base
2025-11-03T16:15:02.4155026Z  * [new branch]              gh/malfet/574/head          -> origin/gh/malfet/574/head
2025-11-03T16:15:02.4155270Z  * [new branch]              gh/malfet/574/orig          -> origin/gh/malfet/574/orig
2025-11-03T16:15:02.4155566Z  * [new branch]              gh/malfet/575/base          -> origin/gh/malfet/575/base
2025-11-03T16:15:02.4155772Z  * [new branch]              gh/malfet/575/head          -> origin/gh/malfet/575/head
2025-11-03T16:15:02.4155907Z  * [new branch]              gh/malfet/575/orig          -> origin/gh/malfet/575/orig
2025-11-03T16:15:02.4156041Z  * [new branch]              gh/malfet/576/base          -> origin/gh/malfet/576/base
2025-11-03T16:15:02.4156166Z  * [new branch]              gh/malfet/576/head          -> origin/gh/malfet/576/head
2025-11-03T16:15:02.4156296Z  * [new branch]              gh/malfet/576/orig          -> origin/gh/malfet/576/orig
2025-11-03T16:15:02.4156421Z  * [new branch]              gh/malfet/577/base          -> origin/gh/malfet/577/base
2025-11-03T16:15:02.4156550Z  * [new branch]              gh/malfet/577/head          -> origin/gh/malfet/577/head
2025-11-03T16:15:02.4156673Z  * [new branch]              gh/malfet/577/orig          -> origin/gh/malfet/577/orig
2025-11-03T16:15:02.4156795Z  * [new branch]              gh/malfet/578/base          -> origin/gh/malfet/578/base
2025-11-03T16:15:02.4156924Z  * [new branch]              gh/malfet/578/head          -> origin/gh/malfet/578/head
2025-11-03T16:15:02.4157046Z  * [new branch]              gh/malfet/578/orig          -> origin/gh/malfet/578/orig
2025-11-03T16:15:02.4157177Z  * [new branch]              gh/malfet/579/base          -> origin/gh/malfet/579/base
2025-11-03T16:15:02.4157298Z  * [new branch]              gh/malfet/579/head          -> origin/gh/malfet/579/head
2025-11-03T16:15:02.4157426Z  * [new branch]              gh/malfet/579/orig          -> origin/gh/malfet/579/orig
2025-11-03T16:15:02.4157593Z  * [new branch]              gh/malfet/580/base          -> origin/gh/malfet/580/base
2025-11-03T16:15:02.4157721Z  * [new branch]              gh/malfet/580/head          -> origin/gh/malfet/580/head
2025-11-03T16:15:02.4157854Z  * [new branch]              gh/malfet/580/orig          -> origin/gh/malfet/580/orig
2025-11-03T16:15:02.4157981Z  * [new branch]              gh/malfet/581/base          -> origin/gh/malfet/581/base
2025-11-03T16:15:02.4158488Z  * [new branch]              gh/malfet/581/head          -> origin/gh/malfet/581/head
2025-11-03T16:15:02.4160765Z  * [new branch]              gh/malfet/581/orig          -> origin/gh/malfet/581/orig
2025-11-03T16:15:02.4160926Z  * [new branch]              gh/malfet/582/base          -> origin/gh/malfet/582/base
2025-11-03T16:15:02.4161068Z  * [new branch]              gh/malfet/582/head          -> origin/gh/malfet/582/head
2025-11-03T16:15:02.4166094Z  * [new branch]              gh/malfet/582/orig          -> origin/gh/malfet/582/orig
2025-11-03T16:15:02.4168097Z  * [new branch]              gh/malfet/583/base          -> origin/gh/malfet/583/base
2025-11-03T16:15:02.4168360Z  * [new branch]              gh/malfet/583/head          -> origin/gh/malfet/583/head
2025-11-03T16:15:02.4173650Z  * [new branch]              gh/malfet/583/orig          -> origin/gh/malfet/583/orig
2025-11-03T16:15:02.4173942Z  * [new branch]              gh/malfet/584/base          -> origin/gh/malfet/584/base
2025-11-03T16:15:02.4174125Z  * [new branch]              gh/malfet/584/head          -> origin/gh/malfet/584/head
2025-11-03T16:15:02.4174299Z  * [new branch]              gh/malfet/584/orig          -> origin/gh/malfet/584/orig
2025-11-03T16:15:02.4174446Z  * [new branch]              gh/malfet/585/base          -> origin/gh/malfet/585/base
2025-11-03T16:15:02.4174659Z  * [new branch]              gh/malfet/585/head          -> origin/gh/malfet/585/head
2025-11-03T16:15:02.4174809Z  * [new branch]              gh/malfet/585/orig          -> origin/gh/malfet/585/orig
2025-11-03T16:15:02.4175026Z  * [new branch]              gh/malfet/586/base          -> origin/gh/malfet/586/base
2025-11-03T16:15:02.4175389Z  * [new branch]              gh/malfet/586/head          -> origin/gh/malfet/586/head
2025-11-03T16:15:02.4176341Z  * [new branch]              gh/malfet/586/orig          -> origin/gh/malfet/586/orig
2025-11-03T16:15:02.4179316Z  * [new branch]              gh/malfet/587/base          -> origin/gh/malfet/587/base
2025-11-03T16:15:02.4179639Z  * [new branch]              gh/malfet/587/head          -> origin/gh/malfet/587/head
2025-11-03T16:15:02.4179807Z  * [new branch]              gh/malfet/587/orig          -> origin/gh/malfet/587/orig
2025-11-03T16:15:02.4179962Z  * [new branch]              gh/malfet/64/base           -> origin/gh/malfet/64/base
2025-11-03T16:15:02.4180161Z  * [new branch]              gh/malfet/64/head           -> origin/gh/malfet/64/head
2025-11-03T16:15:02.4185542Z  * [new branch]              gh/manuelcandales/11/base   -> origin/gh/manuelcandales/11/base
2025-11-03T16:15:02.4185730Z  * [new branch]              gh/manuelcandales/11/head   -> origin/gh/manuelcandales/11/head
2025-11-03T16:15:02.4185878Z  * [new branch]              gh/manuelcandales/11/orig   -> origin/gh/manuelcandales/11/orig
2025-11-03T16:15:02.4186027Z  * [new branch]              gh/markkm/1/base            -> origin/gh/markkm/1/base
2025-11-03T16:15:02.4186172Z  * [new branch]              gh/masnesral/235/base       -> origin/gh/masnesral/235/base
2025-11-03T16:15:02.4187609Z  * [new branch]              gh/masnesral/235/head       -> origin/gh/masnesral/235/head
2025-11-03T16:15:02.4187745Z  * [new branch]              gh/masnesral/235/orig       -> origin/gh/masnesral/235/orig
2025-11-03T16:15:02.4192550Z  * [new branch]              gh/masnesral/236/base       -> origin/gh/masnesral/236/base
2025-11-03T16:15:02.4192863Z  * [new branch]              gh/masnesral/236/head       -> origin/gh/masnesral/236/head
2025-11-03T16:15:02.4193258Z  * [new branch]              gh/masnesral/236/orig       -> origin/gh/masnesral/236/orig
2025-11-03T16:15:02.4193523Z  * [new branch]              gh/masnesral/237/base       -> origin/gh/masnesral/237/base
2025-11-03T16:15:02.4193682Z  * [new branch]              gh/masnesral/237/head       -> origin/gh/masnesral/237/head
2025-11-03T16:15:02.4193927Z  * [new branch]              gh/masnesral/237/orig       -> origin/gh/masnesral/237/orig
2025-11-03T16:15:02.4194631Z  * [new branch]              gh/masnesral/238/base       -> origin/gh/masnesral/238/base
2025-11-03T16:15:02.4194828Z  * [new branch]              gh/masnesral/238/head       -> origin/gh/masnesral/238/head
2025-11-03T16:15:02.4198090Z  * [new branch]              gh/masnesral/238/orig       -> origin/gh/masnesral/238/orig
2025-11-03T16:15:02.4198549Z  * [new branch]              gh/mhorowitz/0/base         -> origin/gh/mhorowitz/0/base
2025-11-03T16:15:02.4198740Z  * [new branch]              gh/mhorowitz/0/head         -> origin/gh/mhorowitz/0/head
2025-11-03T16:15:02.4198921Z  * [new branch]              gh/mhorowitz/1/base         -> origin/gh/mhorowitz/1/base
2025-11-03T16:15:02.4199176Z  * [new branch]              gh/mhorowitz/1/head         -> origin/gh/mhorowitz/1/head
2025-11-03T16:15:02.4200608Z  * [new branch]              gh/mhorowitz/2/base         -> origin/gh/mhorowitz/2/base
2025-11-03T16:15:02.4200866Z  * [new branch]              gh/mhorowitz/2/head         -> origin/gh/mhorowitz/2/head
2025-11-03T16:15:02.4203043Z  * [new branch]              gh/mhorowitz/3/base         -> origin/gh/mhorowitz/3/base
2025-11-03T16:15:02.4203356Z  * [new branch]              gh/mhorowitz/3/head         -> origin/gh/mhorowitz/3/head
2025-11-03T16:15:02.4203527Z  * [new branch]              gh/mhorowitz/4/base         -> origin/gh/mhorowitz/4/base
2025-11-03T16:15:02.4203693Z  * [new branch]              gh/mhorowitz/4/head         -> origin/gh/mhorowitz/4/head
2025-11-03T16:15:02.4207727Z  * [new branch]              gh/mhorowitz/5/base         -> origin/gh/mhorowitz/5/base
2025-11-03T16:15:02.4208057Z  * [new branch]              gh/mhorowitz/5/head         -> origin/gh/mhorowitz/5/head
2025-11-03T16:15:02.4208281Z  * [new branch]              gh/mhorowitz/6/base         -> origin/gh/mhorowitz/6/base
2025-11-03T16:15:02.4208705Z  * [new branch]              gh/mhorowitz/6/head         -> origin/gh/mhorowitz/6/head
2025-11-03T16:15:02.4208918Z  * [new branch]              gh/mikaylagawarecki/234/base -> origin/gh/mikaylagawarecki/234/base
2025-11-03T16:15:02.4209497Z  * [new branch]              gh/mikaylagawarecki/234/head -> origin/gh/mikaylagawarecki/234/head
2025-11-03T16:15:02.4209866Z  * [new branch]              gh/mikaylagawarecki/235/base -> origin/gh/mikaylagawarecki/235/base
2025-11-03T16:15:02.4213970Z  * [new branch]              gh/mikaylagawarecki/235/head -> origin/gh/mikaylagawarecki/235/head
2025-11-03T16:15:02.4214321Z  * [new branch]              gh/mikaylagawarecki/236/base -> origin/gh/mikaylagawarecki/236/base
2025-11-03T16:15:02.4214602Z  * [new branch]              gh/mikaylagawarecki/236/head -> origin/gh/mikaylagawarecki/236/head
2025-11-03T16:15:02.4214844Z  * [new branch]              gh/mikaylagawarecki/237/base -> origin/gh/mikaylagawarecki/237/base
2025-11-03T16:15:02.4215520Z  * [new branch]              gh/mikaylagawarecki/237/head -> origin/gh/mikaylagawarecki/237/head
2025-11-03T16:15:02.4215716Z  * [new branch]              gh/mikaylagawarecki/238/base -> origin/gh/mikaylagawarecki/238/base
2025-11-03T16:15:02.4215874Z  * [new branch]              gh/mikaylagawarecki/238/head -> origin/gh/mikaylagawarecki/238/head
2025-11-03T16:15:02.4216037Z  * [new branch]              gh/mikaylagawarecki/336/base -> origin/gh/mikaylagawarecki/336/base
2025-11-03T16:15:02.4216565Z  * [new branch]              gh/mikaylagawarecki/336/head -> origin/gh/mikaylagawarecki/336/head
2025-11-03T16:15:02.4219515Z  * [new branch]              gh/mikaylagawarecki/336/orig -> origin/gh/mikaylagawarecki/336/orig
2025-11-03T16:15:02.4220018Z  * [new branch]              gh/mikaylagawarecki/337/base -> origin/gh/mikaylagawarecki/337/base
2025-11-03T16:15:02.4220319Z  * [new branch]              gh/mikaylagawarecki/337/head -> origin/gh/mikaylagawarecki/337/head
2025-11-03T16:15:02.4220515Z  * [new branch]              gh/mikaylagawarecki/337/orig -> origin/gh/mikaylagawarecki/337/orig
2025-11-03T16:15:02.4220988Z  * [new branch]              gh/mikaylagawarecki/341/base -> origin/gh/mikaylagawarecki/341/base
2025-11-03T16:15:02.4221766Z  * [new branch]              gh/mikaylagawarecki/341/head -> origin/gh/mikaylagawarecki/341/head
2025-11-03T16:15:02.4222253Z  * [new branch]              gh/mikaylagawarecki/341/orig -> origin/gh/mikaylagawarecki/341/orig
2025-11-03T16:15:02.4224061Z  * [new branch]              gh/mikaylagawarecki/342/base -> origin/gh/mikaylagawarecki/342/base
2025-11-03T16:15:02.4224401Z  * [new branch]              gh/mikaylagawarecki/342/head -> origin/gh/mikaylagawarecki/342/head
2025-11-03T16:15:02.4224617Z  * [new branch]              gh/mikaylagawarecki/342/orig -> origin/gh/mikaylagawarecki/342/orig
2025-11-03T16:15:02.4226458Z  * [new branch]              gh/mikaylagawarecki/343/base -> origin/gh/mikaylagawarecki/343/base
2025-11-03T16:15:02.4226808Z  * [new branch]              gh/mikaylagawarecki/343/head -> origin/gh/mikaylagawarecki/343/head
2025-11-03T16:15:02.4227065Z  * [new branch]              gh/mikaylagawarecki/343/orig -> origin/gh/mikaylagawarecki/343/orig
2025-11-03T16:15:02.4228657Z  * [new branch]              gh/mikaylagawarecki/344/base -> origin/gh/mikaylagawarecki/344/base
2025-11-03T16:15:02.4228990Z  * [new branch]              gh/mikaylagawarecki/344/head -> origin/gh/mikaylagawarecki/344/head
2025-11-03T16:15:02.4229193Z  * [new branch]              gh/mikaylagawarecki/344/orig -> origin/gh/mikaylagawarecki/344/orig
2025-11-03T16:15:02.4230933Z  * [new branch]              gh/mikaylagawarecki/345/base -> origin/gh/mikaylagawarecki/345/base
2025-11-03T16:15:02.4231294Z  * [new branch]              gh/mikaylagawarecki/345/head -> origin/gh/mikaylagawarecki/345/head
2025-11-03T16:15:02.4231541Z  * [new branch]              gh/mikaylagawarecki/345/orig -> origin/gh/mikaylagawarecki/345/orig
2025-11-03T16:15:02.4233884Z  * [new branch]              gh/mikaylagawarecki/346/base -> origin/gh/mikaylagawarecki/346/base
2025-11-03T16:15:02.4234395Z  * [new branch]              gh/mikaylagawarecki/346/head -> origin/gh/mikaylagawarecki/346/head
2025-11-03T16:15:02.4234651Z  * [new branch]              gh/mikaylagawarecki/346/orig -> origin/gh/mikaylagawarecki/346/orig
2025-11-03T16:15:02.4234829Z  * [new branch]              gh/mikaylagawarecki/347/base -> origin/gh/mikaylagawarecki/347/base
2025-11-03T16:15:02.4235406Z  * [new branch]              gh/mikaylagawarecki/347/head -> origin/gh/mikaylagawarecki/347/head
2025-11-03T16:15:02.4237274Z  * [new branch]              gh/mikaylagawarecki/347/orig -> origin/gh/mikaylagawarecki/347/orig
2025-11-03T16:15:02.4237502Z  * [new branch]              gh/mikaylagawarecki/348/base -> origin/gh/mikaylagawarecki/348/base
2025-11-03T16:15:02.4237703Z  * [new branch]              gh/mikaylagawarecki/348/head -> origin/gh/mikaylagawarecki/348/head
2025-11-03T16:15:02.4238072Z  * [new branch]              gh/mikaylagawarecki/348/orig -> origin/gh/mikaylagawarecki/348/orig
2025-11-03T16:15:02.4242803Z  * [new branch]              gh/mikaylagawarecki/349/base -> origin/gh/mikaylagawarecki/349/base
2025-11-03T16:15:02.4242991Z  * [new branch]              gh/mikaylagawarecki/349/head -> origin/gh/mikaylagawarecki/349/head
2025-11-03T16:15:02.4243177Z  * [new branch]              gh/mikaylagawarecki/349/orig -> origin/gh/mikaylagawarecki/349/orig
2025-11-03T16:15:02.4243333Z  * [new branch]              gh/mikaylagawarecki/350/base -> origin/gh/mikaylagawarecki/350/base
2025-11-03T16:15:02.4243500Z  * [new branch]              gh/mikaylagawarecki/350/head -> origin/gh/mikaylagawarecki/350/head
2025-11-03T16:15:02.4243658Z  * [new branch]              gh/mikaylagawarecki/350/orig -> origin/gh/mikaylagawarecki/350/orig
2025-11-03T16:15:02.4248079Z  * [new branch]              gh/mikaylagawarecki/351/base -> origin/gh/mikaylagawarecki/351/base
2025-11-03T16:15:02.4248434Z  * [new branch]              gh/mikaylagawarecki/351/head -> origin/gh/mikaylagawarecki/351/head
2025-11-03T16:15:02.4248703Z  * [new branch]              gh/mikaylagawarecki/351/orig -> origin/gh/mikaylagawarecki/351/orig
2025-11-03T16:15:02.4248882Z  * [new branch]              gh/mikaylagawarecki/352/base -> origin/gh/mikaylagawarecki/352/base
2025-11-03T16:15:02.4249049Z  * [new branch]              gh/mikaylagawarecki/352/head -> origin/gh/mikaylagawarecki/352/head
2025-11-03T16:15:02.4249334Z  * [new branch]              gh/mikaylagawarecki/352/orig -> origin/gh/mikaylagawarecki/352/orig
2025-11-03T16:15:02.4255097Z  * [new branch]              gh/mikaylagawarecki/353/base -> origin/gh/mikaylagawarecki/353/base
2025-11-03T16:15:02.4255446Z  * [new branch]              gh/mikaylagawarecki/353/head -> origin/gh/mikaylagawarecki/353/head
2025-11-03T16:15:02.4255702Z  * [new branch]              gh/mikaylagawarecki/353/orig -> origin/gh/mikaylagawarecki/353/orig
2025-11-03T16:15:02.4255879Z  * [new branch]              gh/mikaylagawarecki/354/base -> origin/gh/mikaylagawarecki/354/base
2025-11-03T16:15:02.4256147Z  * [new branch]              gh/mikaylagawarecki/354/head -> origin/gh/mikaylagawarecki/354/head
2025-11-03T16:15:02.4256322Z  * [new branch]              gh/mikaylagawarecki/354/orig -> origin/gh/mikaylagawarecki/354/orig
2025-11-03T16:15:02.4260667Z  * [new branch]              gh/mikaylagawarecki/355/base -> origin/gh/mikaylagawarecki/355/base
2025-11-03T16:15:02.4260858Z  * [new branch]              gh/mikaylagawarecki/355/head -> origin/gh/mikaylagawarecki/355/head
2025-11-03T16:15:02.4261018Z  * [new branch]              gh/mikaylagawarecki/355/orig -> origin/gh/mikaylagawarecki/355/orig
2025-11-03T16:15:02.4261172Z  * [new branch]              gh/mikaylagawarecki/356/base -> origin/gh/mikaylagawarecki/356/base
2025-11-03T16:15:02.4261351Z  * [new branch]              gh/mikaylagawarecki/356/head -> origin/gh/mikaylagawarecki/356/head
2025-11-03T16:15:02.4261516Z  * [new branch]              gh/mikaylagawarecki/356/orig -> origin/gh/mikaylagawarecki/356/orig
2025-11-03T16:15:02.4261833Z  * [new branch]              gh/mikaylagawarecki/357/base -> origin/gh/mikaylagawarecki/357/base
2025-11-03T16:15:02.4262012Z  * [new branch]              gh/mikaylagawarecki/357/head -> origin/gh/mikaylagawarecki/357/head
2025-11-03T16:15:02.4262347Z  * [new branch]              gh/mikaylagawarecki/357/orig -> origin/gh/mikaylagawarecki/357/orig
2025-11-03T16:15:02.4262514Z  * [new branch]              gh/mikaylagawarecki/358/base -> origin/gh/mikaylagawarecki/358/base
2025-11-03T16:15:02.4262676Z  * [new branch]              gh/mikaylagawarecki/358/head -> origin/gh/mikaylagawarecki/358/head
2025-11-03T16:15:02.4262835Z  * [new branch]              gh/mikaylagawarecki/358/orig -> origin/gh/mikaylagawarecki/358/orig
2025-11-03T16:15:02.4262996Z  * [new branch]              gh/mikaylagawarecki/359/base -> origin/gh/mikaylagawarecki/359/base
2025-11-03T16:15:02.4268085Z  * [new branch]              gh/mikaylagawarecki/359/head -> origin/gh/mikaylagawarecki/359/head
2025-11-03T16:15:02.4268294Z  * [new branch]              gh/mikaylagawarecki/359/orig -> origin/gh/mikaylagawarecki/359/orig
2025-11-03T16:15:02.4268455Z  * [new branch]              gh/mikaylagawarecki/360/base -> origin/gh/mikaylagawarecki/360/base
2025-11-03T16:15:02.4268609Z  * [new branch]              gh/mikaylagawarecki/360/head -> origin/gh/mikaylagawarecki/360/head
2025-11-03T16:15:02.4268769Z  * [new branch]              gh/mikaylagawarecki/360/orig -> origin/gh/mikaylagawarecki/360/orig
2025-11-03T16:15:02.4268922Z  * [new branch]              gh/mikaylagawarecki/361/base -> origin/gh/mikaylagawarecki/361/base
2025-11-03T16:15:02.4271228Z  * [new branch]              gh/mikaylagawarecki/361/head -> origin/gh/mikaylagawarecki/361/head
2025-11-03T16:15:02.4271715Z  * [new branch]              gh/mikaylagawarecki/361/orig -> origin/gh/mikaylagawarecki/361/orig
2025-11-03T16:15:02.4271859Z  * [new branch]              gh/mlazos/20/base           -> origin/gh/mlazos/20/base
2025-11-03T16:15:02.4271993Z  * [new branch]              gh/mlazos/20/head           -> origin/gh/mlazos/20/head
2025-11-03T16:15:02.4272120Z  * [new branch]              gh/mlazos/20/orig           -> origin/gh/mlazos/20/orig
2025-11-03T16:15:02.4275860Z  * [new branch]              gh/mlazos/21/base           -> origin/gh/mlazos/21/base
2025-11-03T16:15:02.4276014Z  * [new branch]              gh/mlazos/21/head           -> origin/gh/mlazos/21/head
2025-11-03T16:15:02.4276146Z  * [new branch]              gh/mlazos/21/orig           -> origin/gh/mlazos/21/orig
2025-11-03T16:15:02.4276269Z  * [new branch]              gh/mlazos/22/base           -> origin/gh/mlazos/22/base
2025-11-03T16:15:02.4276397Z  * [new branch]              gh/mlazos/22/head           -> origin/gh/mlazos/22/head
2025-11-03T16:15:02.4276532Z  * [new branch]              gh/mlazos/22/orig           -> origin/gh/mlazos/22/orig
2025-11-03T16:15:02.4276662Z  * [new branch]              gh/mlazos/23/base           -> origin/gh/mlazos/23/base
2025-11-03T16:15:02.4276778Z  * [new branch]              gh/mlazos/23/head           -> origin/gh/mlazos/23/head
2025-11-03T16:15:02.4276905Z  * [new branch]              gh/mlazos/23/orig           -> origin/gh/mlazos/23/orig
2025-11-03T16:15:02.4277741Z  * [new branch]              gh/mlazos/24/base           -> origin/gh/mlazos/24/base
2025-11-03T16:15:02.4277977Z  * [new branch]              gh/mlazos/24/head           -> origin/gh/mlazos/24/head
2025-11-03T16:15:02.4279123Z  * [new branch]              gh/mlazos/24/orig           -> origin/gh/mlazos/24/orig
2025-11-03T16:15:02.4284548Z  * [new branch]              gh/mlazos/25/base           -> origin/gh/mlazos/25/base
2025-11-03T16:15:02.4284709Z  * [new branch]              gh/mlazos/25/head           -> origin/gh/mlazos/25/head
2025-11-03T16:15:02.4284849Z  * [new branch]              gh/mlazos/25/orig           -> origin/gh/mlazos/25/orig
2025-11-03T16:15:02.4284982Z  * [new branch]              gh/mlazos/26/base           -> origin/gh/mlazos/26/base
2025-11-03T16:15:02.4285104Z  * [new branch]              gh/mlazos/26/head           -> origin/gh/mlazos/26/head
2025-11-03T16:15:02.4289370Z  * [new branch]              gh/mlazos/26/orig           -> origin/gh/mlazos/26/orig
2025-11-03T16:15:02.4293327Z  * [new branch]              gh/mlazos/27/base           -> origin/gh/mlazos/27/base
2025-11-03T16:15:02.4295161Z  * [new branch]              gh/mlazos/27/head           -> origin/gh/mlazos/27/head
2025-11-03T16:15:02.4295301Z  * [new branch]              gh/mlazos/27/orig           -> origin/gh/mlazos/27/orig
2025-11-03T16:15:02.4295521Z  * [new branch]              gh/mlazos/28/base           -> origin/gh/mlazos/28/base
2025-11-03T16:15:02.4299409Z  * [new branch]              gh/mlazos/28/head           -> origin/gh/mlazos/28/head
2025-11-03T16:15:02.4299670Z  * [new branch]              gh/mlazos/28/orig           -> origin/gh/mlazos/28/orig
2025-11-03T16:15:02.4304225Z  * [new branch]              gh/mlazos/29/base           -> origin/gh/mlazos/29/base
2025-11-03T16:15:02.4307640Z  * [new branch]              gh/mlazos/29/head           -> origin/gh/mlazos/29/head
2025-11-03T16:15:02.4312461Z  * [new branch]              gh/mlazos/29/orig           -> origin/gh/mlazos/29/orig
2025-11-03T16:15:02.4314356Z  * [new branch]              gh/mlazos/30/base           -> origin/gh/mlazos/30/base
2025-11-03T16:15:02.4314507Z  * [new branch]              gh/mlazos/30/head           -> origin/gh/mlazos/30/head
2025-11-03T16:15:02.4314639Z  * [new branch]              gh/mlazos/30/orig           -> origin/gh/mlazos/30/orig
2025-11-03T16:15:02.4314754Z  * [new branch]              gh/mlazos/31/base           -> origin/gh/mlazos/31/base
2025-11-03T16:15:02.4314878Z  * [new branch]              gh/mlazos/31/head           -> origin/gh/mlazos/31/head
2025-11-03T16:15:02.4315138Z  * [new branch]              gh/mlazos/31/orig           -> origin/gh/mlazos/31/orig
2025-11-03T16:15:02.4315262Z  * [new branch]              gh/mlazos/32/base           -> origin/gh/mlazos/32/base
2025-11-03T16:15:02.4315391Z  * [new branch]              gh/mlazos/32/head           -> origin/gh/mlazos/32/head
2025-11-03T16:15:02.4315530Z  * [new branch]              gh/mlazos/32/orig           -> origin/gh/mlazos/32/orig
2025-11-03T16:15:02.4315656Z  * [new branch]              gh/mlazos/33/base           -> origin/gh/mlazos/33/base
2025-11-03T16:15:02.4315777Z  * [new branch]              gh/mlazos/33/head           -> origin/gh/mlazos/33/head
2025-11-03T16:15:02.4315901Z  * [new branch]              gh/mlazos/33/orig           -> origin/gh/mlazos/33/orig
2025-11-03T16:15:02.4316017Z  * [new branch]              gh/mlazos/34/base           -> origin/gh/mlazos/34/base
2025-11-03T16:15:02.4316134Z  * [new branch]              gh/mlazos/34/head           -> origin/gh/mlazos/34/head
2025-11-03T16:15:02.4316266Z  * [new branch]              gh/mlazos/34/orig           -> origin/gh/mlazos/34/orig
2025-11-03T16:15:02.4316388Z  * [new branch]              gh/mlazos/35/base           -> origin/gh/mlazos/35/base
2025-11-03T16:15:02.4316511Z  * [new branch]              gh/mlazos/35/head           -> origin/gh/mlazos/35/head
2025-11-03T16:15:02.4316630Z  * [new branch]              gh/mlazos/35/orig           -> origin/gh/mlazos/35/orig
2025-11-03T16:15:02.4316746Z  * [new branch]              gh/mlazos/36/base           -> origin/gh/mlazos/36/base
2025-11-03T16:15:02.4316871Z  * [new branch]              gh/mlazos/36/head           -> origin/gh/mlazos/36/head
2025-11-03T16:15:02.4316988Z  * [new branch]              gh/mlazos/36/orig           -> origin/gh/mlazos/36/orig
2025-11-03T16:15:02.4317115Z  * [new branch]              gh/mlazos/37/base           -> origin/gh/mlazos/37/base
2025-11-03T16:15:02.4317235Z  * [new branch]              gh/mlazos/37/head           -> origin/gh/mlazos/37/head
2025-11-03T16:15:02.4317367Z  * [new branch]              gh/mlazos/37/orig           -> origin/gh/mlazos/37/orig
2025-11-03T16:15:02.4317487Z  * [new branch]              gh/mlazos/38/base           -> origin/gh/mlazos/38/base
2025-11-03T16:15:02.4317608Z  * [new branch]              gh/mlazos/38/head           -> origin/gh/mlazos/38/head
2025-11-03T16:15:02.4317803Z  * [new branch]              gh/mlazos/38/orig           -> origin/gh/mlazos/38/orig
2025-11-03T16:15:02.4317919Z  * [new branch]              gh/mlazos/39/base           -> origin/gh/mlazos/39/base
2025-11-03T16:15:02.4318042Z  * [new branch]              gh/mlazos/39/head           -> origin/gh/mlazos/39/head
2025-11-03T16:15:02.4318161Z  * [new branch]              gh/mlazos/39/orig           -> origin/gh/mlazos/39/orig
2025-11-03T16:15:02.4318428Z  * [new branch]              gh/mlazos/40/base           -> origin/gh/mlazos/40/base
2025-11-03T16:15:02.4318555Z  * [new branch]              gh/mlazos/40/head           -> origin/gh/mlazos/40/head
2025-11-03T16:15:02.4318680Z  * [new branch]              gh/mlazos/40/orig           -> origin/gh/mlazos/40/orig
2025-11-03T16:15:02.4318806Z  * [new branch]              gh/mlazos/41/base           -> origin/gh/mlazos/41/base
2025-11-03T16:15:02.4318937Z  * [new branch]              gh/mlazos/41/head           -> origin/gh/mlazos/41/head
2025-11-03T16:15:02.4319079Z  * [new branch]              gh/mlazos/41/orig           -> origin/gh/mlazos/41/orig
2025-11-03T16:15:02.4319213Z  * [new branch]              gh/mlazos/42/base           -> origin/gh/mlazos/42/base
2025-11-03T16:15:02.4319344Z  * [new branch]              gh/mlazos/42/head           -> origin/gh/mlazos/42/head
2025-11-03T16:15:02.4319482Z  * [new branch]              gh/mlazos/42/orig           -> origin/gh/mlazos/42/orig
2025-11-03T16:15:02.4319613Z  * [new branch]              gh/mlazos/43/base           -> origin/gh/mlazos/43/base
2025-11-03T16:15:02.4319752Z  * [new branch]              gh/mlazos/43/head           -> origin/gh/mlazos/43/head
2025-11-03T16:15:02.4323229Z  * [new branch]              gh/mlazos/43/orig           -> origin/gh/mlazos/43/orig
2025-11-03T16:15:02.4323446Z  * [new branch]              gh/mlazos/44/base           -> origin/gh/mlazos/44/base
2025-11-03T16:15:02.4323583Z  * [new branch]              gh/mlazos/44/head           -> origin/gh/mlazos/44/head
2025-11-03T16:15:02.4323803Z  * [new branch]              gh/mlazos/44/orig           -> origin/gh/mlazos/44/orig
2025-11-03T16:15:02.4323941Z  * [new branch]              gh/mlazos/45/base           -> origin/gh/mlazos/45/base
2025-11-03T16:15:02.4324105Z  * [new branch]              gh/mlazos/45/head           -> origin/gh/mlazos/45/head
2025-11-03T16:15:02.4324243Z  * [new branch]              gh/mlazos/45/orig           -> origin/gh/mlazos/45/orig
2025-11-03T16:15:02.4324426Z  * [new branch]              gh/mlazos/46/base           -> origin/gh/mlazos/46/base
2025-11-03T16:15:02.4329659Z  * [new branch]              gh/mlazos/46/head           -> origin/gh/mlazos/46/head
2025-11-03T16:15:02.4333717Z  * [new branch]              gh/mlazos/46/orig           -> origin/gh/mlazos/46/orig
2025-11-03T16:15:02.4337606Z  * [new branch]              gh/mrmiywj/1/base           -> origin/gh/mrmiywj/1/base
2025-11-03T16:15:02.4341597Z  * [new branch]              gh/mrmiywj/1/head           -> origin/gh/mrmiywj/1/head
2025-11-03T16:15:02.4345874Z  * [new branch]              gh/muchulee8/68/base        -> origin/gh/muchulee8/68/base
2025-11-03T16:15:02.4347884Z  * [new branch]              gh/muchulee8/68/head        -> origin/gh/muchulee8/68/head
2025-11-03T16:15:02.4348130Z  * [new branch]              gh/muchulee8/68/orig        -> origin/gh/muchulee8/68/orig
2025-11-03T16:15:02.4352240Z  * [new branch]              gh/muchulee8/69/base        -> origin/gh/muchulee8/69/base
2025-11-03T16:15:02.4352500Z  * [new branch]              gh/muchulee8/69/head        -> origin/gh/muchulee8/69/head
2025-11-03T16:15:02.4356866Z  * [new branch]              gh/muchulee8/69/orig        -> origin/gh/muchulee8/69/orig
2025-11-03T16:15:02.4357130Z  * [new branch]              gh/muchulee8/70/base        -> origin/gh/muchulee8/70/base
2025-11-03T16:15:02.4363298Z  * [new branch]              gh/muchulee8/70/head        -> origin/gh/muchulee8/70/head
2025-11-03T16:15:02.4367468Z  * [new branch]              gh/muchulee8/70/orig        -> origin/gh/muchulee8/70/orig
2025-11-03T16:15:02.4371863Z  * [new branch]              gh/muchulee8/71/base        -> origin/gh/muchulee8/71/base
2025-11-03T16:15:02.4376106Z  * [new branch]              gh/muchulee8/71/head        -> origin/gh/muchulee8/71/head
2025-11-03T16:15:02.4380061Z  * [new branch]              gh/muchulee8/71/orig        -> origin/gh/muchulee8/71/orig
2025-11-03T16:15:02.4381779Z  * [new branch]              gh/muchulee8/72/base        -> origin/gh/muchulee8/72/base
2025-11-03T16:15:02.4381933Z  * [new branch]              gh/muchulee8/72/head        -> origin/gh/muchulee8/72/head
2025-11-03T16:15:02.4382194Z  * [new branch]              gh/muchulee8/72/orig        -> origin/gh/muchulee8/72/orig
2025-11-03T16:15:02.4382353Z  * [new branch]              gh/muchulee8/73/base        -> origin/gh/muchulee8/73/base
2025-11-03T16:15:02.4382501Z  * [new branch]              gh/muchulee8/73/head        -> origin/gh/muchulee8/73/head
2025-11-03T16:15:02.4382638Z  * [new branch]              gh/muchulee8/73/orig        -> origin/gh/muchulee8/73/orig
2025-11-03T16:15:02.4382802Z  * [new branch]              gh/naveenthangudu/1/base    -> origin/gh/naveenthangudu/1/base
2025-11-03T16:15:02.4382947Z  * [new branch]              gh/naveenthangudu/1/head    -> origin/gh/naveenthangudu/1/head
2025-11-03T16:15:02.4383095Z  * [new branch]              gh/naveenthangudu/1/orig    -> origin/gh/naveenthangudu/1/orig
2025-11-03T16:15:02.4383234Z  * [new branch]              gh/naveenthangudu/2/base    -> origin/gh/naveenthangudu/2/base
2025-11-03T16:15:02.4383378Z  * [new branch]              gh/naveenthangudu/2/head    -> origin/gh/naveenthangudu/2/head
2025-11-03T16:15:02.4383695Z  * [new branch]              gh/naveenthangudu/2/orig    -> origin/gh/naveenthangudu/2/orig
2025-11-03T16:15:02.4383851Z  * [new branch]              gh/naveenthangudu/3/base    -> origin/gh/naveenthangudu/3/base
2025-11-03T16:15:02.4383992Z  * [new branch]              gh/naveenthangudu/3/head    -> origin/gh/naveenthangudu/3/head
2025-11-03T16:15:02.4384133Z  * [new branch]              gh/naveenthangudu/3/orig    -> origin/gh/naveenthangudu/3/orig
2025-11-03T16:15:02.4384282Z  * [new branch]              gh/naveenthangudu/4/base    -> origin/gh/naveenthangudu/4/base
2025-11-03T16:15:02.4384419Z  * [new branch]              gh/naveenthangudu/4/head    -> origin/gh/naveenthangudu/4/head
2025-11-03T16:15:02.4384565Z  * [new branch]              gh/naveenthangudu/4/orig    -> origin/gh/naveenthangudu/4/orig
2025-11-03T16:15:02.4384703Z  * [new branch]              gh/naveenthangudu/5/base    -> origin/gh/naveenthangudu/5/base
2025-11-03T16:15:02.4384851Z  * [new branch]              gh/naveenthangudu/5/head    -> origin/gh/naveenthangudu/5/head
2025-11-03T16:15:02.4384993Z  * [new branch]              gh/naveenthangudu/5/orig    -> origin/gh/naveenthangudu/5/orig
2025-11-03T16:15:02.4385129Z  * [new branch]              gh/naveenthangudu/6/base    -> origin/gh/naveenthangudu/6/base
2025-11-03T16:15:02.4385278Z  * [new branch]              gh/naveenthangudu/6/head    -> origin/gh/naveenthangudu/6/head
2025-11-03T16:15:02.4385411Z  * [new branch]              gh/naveenthangudu/6/orig    -> origin/gh/naveenthangudu/6/orig
2025-11-03T16:15:02.4385551Z  * [new branch]              gh/naveenthangudu/7/base    -> origin/gh/naveenthangudu/7/base
2025-11-03T16:15:02.4385687Z  * [new branch]              gh/naveenthangudu/7/head    -> origin/gh/naveenthangudu/7/head
2025-11-03T16:15:02.4385821Z  * [new branch]              gh/naveenthangudu/7/orig    -> origin/gh/naveenthangudu/7/orig
2025-11-03T16:15:02.4385964Z  * [new branch]              gh/naveenthangudu/8/base    -> origin/gh/naveenthangudu/8/base
2025-11-03T16:15:02.4386102Z  * [new branch]              gh/naveenthangudu/8/head    -> origin/gh/naveenthangudu/8/head
2025-11-03T16:15:02.4386245Z  * [new branch]              gh/naveenthangudu/8/orig    -> origin/gh/naveenthangudu/8/orig
2025-11-03T16:15:02.4386382Z  * [new branch]              gh/naveenthangudu/9/base    -> origin/gh/naveenthangudu/9/base
2025-11-03T16:15:02.4386580Z  * [new branch]              gh/naveenthangudu/9/head    -> origin/gh/naveenthangudu/9/head
2025-11-03T16:15:02.4386715Z  * [new branch]              gh/naveenthangudu/9/orig    -> origin/gh/naveenthangudu/9/orig
2025-11-03T16:15:02.4386848Z  * [new branch]              gh/nikitaved/1/base         -> origin/gh/nikitaved/1/base
2025-11-03T16:15:02.4386987Z  * [new branch]              gh/nikitaved/1/head         -> origin/gh/nikitaved/1/head
2025-11-03T16:15:02.4387110Z  * [new branch]              gh/nikitaved/1/orig         -> origin/gh/nikitaved/1/orig
2025-11-03T16:15:02.4387242Z  * [new branch]              gh/nikitaved/2/base         -> origin/gh/nikitaved/2/base
2025-11-03T16:15:02.4387367Z  * [new branch]              gh/nikitaved/2/head         -> origin/gh/nikitaved/2/head
2025-11-03T16:15:02.4387540Z  * [new branch]              gh/nikitaved/2/orig         -> origin/gh/nikitaved/2/orig
2025-11-03T16:15:02.4387678Z  * [new branch]              gh/nikitaved/4/base         -> origin/gh/nikitaved/4/base
2025-11-03T16:15:02.4387798Z  * [new branch]              gh/nikitaved/4/head         -> origin/gh/nikitaved/4/head
2025-11-03T16:15:02.4387929Z  * [new branch]              gh/nikitaved/4/orig         -> origin/gh/nikitaved/4/orig
2025-11-03T16:15:02.4388049Z  * [new branch]              gh/nikitaved/5/base         -> origin/gh/nikitaved/5/base
2025-11-03T16:15:02.4388177Z  * [new branch]              gh/nikitaved/5/head         -> origin/gh/nikitaved/5/head
2025-11-03T16:15:02.4388299Z  * [new branch]              gh/nikitaved/5/orig         -> origin/gh/nikitaved/5/orig
2025-11-03T16:15:02.4388419Z  * [new branch]              gh/nikitaved/6/base         -> origin/gh/nikitaved/6/base
2025-11-03T16:15:02.4388583Z  * [new branch]              gh/nikitaved/6/head         -> origin/gh/nikitaved/6/head
2025-11-03T16:15:02.4388709Z  * [new branch]              gh/nikitaved/6/orig         -> origin/gh/nikitaved/6/orig
2025-11-03T16:15:02.4388840Z  * [new branch]              gh/nikitaved/7/base         -> origin/gh/nikitaved/7/base
2025-11-03T16:15:02.4388962Z  * [new branch]              gh/nikitaved/7/head         -> origin/gh/nikitaved/7/head
2025-11-03T16:15:02.4389096Z  * [new branch]              gh/nikitaved/7/orig         -> origin/gh/nikitaved/7/orig
2025-11-03T16:15:02.4389219Z  * [new branch]              gh/nikitaved/8/base         -> origin/gh/nikitaved/8/base
2025-11-03T16:15:02.4389341Z  * [new branch]              gh/nikitaved/8/head         -> origin/gh/nikitaved/8/head
2025-11-03T16:15:02.4389472Z  * [new branch]              gh/nikitaved/8/orig         -> origin/gh/nikitaved/8/orig
2025-11-03T16:15:02.4389602Z  * [new branch]              gh/oulgen/1/base            -> origin/gh/oulgen/1/base
2025-11-03T16:15:02.4389737Z  * [new branch]              gh/oulgen/1/head            -> origin/gh/oulgen/1/head
2025-11-03T16:15:02.4389859Z  * [new branch]              gh/oulgen/1/orig            -> origin/gh/oulgen/1/orig
2025-11-03T16:15:02.4389981Z  * [new branch]              gh/oulgen/2/base            -> origin/gh/oulgen/2/base
2025-11-03T16:15:02.4390109Z  * [new branch]              gh/oulgen/2/head            -> origin/gh/oulgen/2/head
2025-11-03T16:15:02.4390231Z  * [new branch]              gh/oulgen/2/orig            -> origin/gh/oulgen/2/orig
2025-11-03T16:15:02.4390356Z  * [new branch]              gh/oulgen/3/base            -> origin/gh/oulgen/3/base
2025-11-03T16:15:02.4390472Z  * [new branch]              gh/oulgen/3/head            -> origin/gh/oulgen/3/head
2025-11-03T16:15:02.4390594Z  * [new branch]              gh/oulgen/3/orig            -> origin/gh/oulgen/3/orig
2025-11-03T16:15:02.4390710Z  * [new branch]              gh/oulgen/4/base            -> origin/gh/oulgen/4/base
2025-11-03T16:15:02.4390825Z  * [new branch]              gh/oulgen/4/head            -> origin/gh/oulgen/4/head
2025-11-03T16:15:02.4390947Z  * [new branch]              gh/oulgen/4/orig            -> origin/gh/oulgen/4/orig
2025-11-03T16:15:02.4391097Z  * [new branch]              gh/oulgen/5/base            -> origin/gh/oulgen/5/base
2025-11-03T16:15:02.4391220Z  * [new branch]              gh/oulgen/5/head            -> origin/gh/oulgen/5/head
2025-11-03T16:15:02.4391336Z  * [new branch]              gh/oulgen/5/orig            -> origin/gh/oulgen/5/orig
2025-11-03T16:15:02.4395539Z  * [new branch]              gh/oulgen/6/base            -> origin/gh/oulgen/6/base
2025-11-03T16:15:02.4395708Z  * [new branch]              gh/oulgen/6/head            -> origin/gh/oulgen/6/head
2025-11-03T16:15:02.4395834Z  * [new branch]              gh/oulgen/6/orig            -> origin/gh/oulgen/6/orig
2025-11-03T16:15:02.4395963Z  * [new branch]              gh/oulgen/7/base            -> origin/gh/oulgen/7/base
2025-11-03T16:15:02.4396101Z  * [new branch]              gh/oulgen/7/head            -> origin/gh/oulgen/7/head
2025-11-03T16:15:02.4396225Z  * [new branch]              gh/oulgen/7/orig            -> origin/gh/oulgen/7/orig
2025-11-03T16:15:02.4396441Z  * [new branch]              gh/patvig/mtia-serialization -> origin/gh/patvig/mtia-serialization
2025-11-03T16:15:02.4396580Z  * [new branch]              gh/pearu/108/base           -> origin/gh/pearu/108/base
2025-11-03T16:15:02.4396714Z  * [new branch]              gh/pearu/108/head           -> origin/gh/pearu/108/head
2025-11-03T16:15:02.4397205Z  * [new branch]              gh/pearu/108/orig           -> origin/gh/pearu/108/orig
2025-11-03T16:15:02.4398631Z  * [new branch]              gh/pearu/109/base           -> origin/gh/pearu/109/base
2025-11-03T16:15:02.4404616Z  * [new branch]              gh/pearu/109/head           -> origin/gh/pearu/109/head
2025-11-03T16:15:02.4407052Z  * [new branch]              gh/pearu/109/orig           -> origin/gh/pearu/109/orig
2025-11-03T16:15:02.4407322Z  * [new branch]              gh/pearu/110/base           -> origin/gh/pearu/110/base
2025-11-03T16:15:02.4412446Z  * [new branch]              gh/pearu/110/head           -> origin/gh/pearu/110/head
2025-11-03T16:15:02.4416507Z  * [new branch]              gh/pearu/110/orig           -> origin/gh/pearu/110/orig
2025-11-03T16:15:02.4420010Z  * [new branch]              gh/pearu/111/base           -> origin/gh/pearu/111/base
2025-11-03T16:15:02.4424977Z  * [new branch]              gh/pearu/111/head           -> origin/gh/pearu/111/head
2025-11-03T16:15:02.4428753Z  * [new branch]              gh/pearu/111/orig           -> origin/gh/pearu/111/orig
2025-11-03T16:15:02.4430637Z  * [new branch]              gh/pearu/112/base           -> origin/gh/pearu/112/base
2025-11-03T16:15:02.4430784Z  * [new branch]              gh/pearu/112/head           -> origin/gh/pearu/112/head
2025-11-03T16:15:02.4430948Z  * [new branch]              gh/pearu/112/orig           -> origin/gh/pearu/112/orig
2025-11-03T16:15:02.4431071Z  * [new branch]              gh/pearu/115/base           -> origin/gh/pearu/115/base
2025-11-03T16:15:02.4431205Z  * [new branch]              gh/pearu/115/head           -> origin/gh/pearu/115/head
2025-11-03T16:15:02.4431334Z  * [new branch]              gh/pearu/115/orig           -> origin/gh/pearu/115/orig
2025-11-03T16:15:02.4431456Z  * [new branch]              gh/pearu/116/base           -> origin/gh/pearu/116/base
2025-11-03T16:15:02.4431604Z  * [new branch]              gh/pearu/116/head           -> origin/gh/pearu/116/head
2025-11-03T16:15:02.4431726Z  * [new branch]              gh/pearu/116/orig           -> origin/gh/pearu/116/orig
2025-11-03T16:15:02.4431864Z  * [new branch]              gh/pearu/117/base           -> origin/gh/pearu/117/base
2025-11-03T16:15:02.4431990Z  * [new branch]              gh/pearu/117/head           -> origin/gh/pearu/117/head
2025-11-03T16:15:02.4432121Z  * [new branch]              gh/pearu/117/orig           -> origin/gh/pearu/117/orig
2025-11-03T16:15:02.4432244Z  * [new branch]              gh/pearu/118/base           -> origin/gh/pearu/118/base
2025-11-03T16:15:02.4432380Z  * [new branch]              gh/pearu/118/head           -> origin/gh/pearu/118/head
2025-11-03T16:15:02.4432640Z  * [new branch]              gh/pearu/118/orig           -> origin/gh/pearu/118/orig
2025-11-03T16:15:02.4432762Z  * [new branch]              gh/pearu/119/base           -> origin/gh/pearu/119/base
2025-11-03T16:15:02.4432893Z  * [new branch]              gh/pearu/119/head           -> origin/gh/pearu/119/head
2025-11-03T16:15:02.4433022Z  * [new branch]              gh/pearu/119/orig           -> origin/gh/pearu/119/orig
2025-11-03T16:15:02.4433156Z  * [new branch]              gh/pearu/120/base           -> origin/gh/pearu/120/base
2025-11-03T16:15:02.4433284Z  * [new branch]              gh/pearu/120/head           -> origin/gh/pearu/120/head
2025-11-03T16:15:02.4433419Z  * [new branch]              gh/pearu/120/orig           -> origin/gh/pearu/120/orig
2025-11-03T16:15:02.4433554Z  * [new branch]              gh/pearu/121/base           -> origin/gh/pearu/121/base
2025-11-03T16:15:02.4433681Z  * [new branch]              gh/pearu/121/head           -> origin/gh/pearu/121/head
2025-11-03T16:15:02.4433814Z  * [new branch]              gh/pearu/121/orig           -> origin/gh/pearu/121/orig
2025-11-03T16:15:02.4433936Z  * [new branch]              gh/pearu/122/base           -> origin/gh/pearu/122/base
2025-11-03T16:15:02.4434064Z  * [new branch]              gh/pearu/122/head           -> origin/gh/pearu/122/head
2025-11-03T16:15:02.4434182Z  * [new branch]              gh/pearu/122/orig           -> origin/gh/pearu/122/orig
2025-11-03T16:15:02.4434301Z  * [new branch]              gh/pearu/138/base           -> origin/gh/pearu/138/base
2025-11-03T16:15:02.4434428Z  * [new branch]              gh/pearu/138/head           -> origin/gh/pearu/138/head
2025-11-03T16:15:02.4434622Z  * [new branch]              gh/pearu/138/orig           -> origin/gh/pearu/138/orig
2025-11-03T16:15:02.4434752Z  * [new branch]              gh/pearu/139/base           -> origin/gh/pearu/139/base
2025-11-03T16:15:02.4434871Z  * [new branch]              gh/pearu/139/head           -> origin/gh/pearu/139/head
2025-11-03T16:15:02.4434992Z  * [new branch]              gh/pearu/139/orig           -> origin/gh/pearu/139/orig
2025-11-03T16:15:02.4435121Z  * [new branch]              gh/pearu/140/base           -> origin/gh/pearu/140/base
2025-11-03T16:15:02.4435243Z  * [new branch]              gh/pearu/140/head           -> origin/gh/pearu/140/head
2025-11-03T16:15:02.4435373Z  * [new branch]              gh/pearu/140/orig           -> origin/gh/pearu/140/orig
2025-11-03T16:15:02.4435504Z  * [new branch]              gh/pearu/141/base           -> origin/gh/pearu/141/base
2025-11-03T16:15:02.4435636Z  * [new branch]              gh/pearu/141/head           -> origin/gh/pearu/141/head
2025-11-03T16:15:02.4435763Z  * [new branch]              gh/pearu/141/orig           -> origin/gh/pearu/141/orig
2025-11-03T16:15:02.4436135Z  * [new branch]              gh/pearu/142/base           -> origin/gh/pearu/142/base
2025-11-03T16:15:02.4436664Z  * [new branch]              gh/pearu/142/head           -> origin/gh/pearu/142/head
2025-11-03T16:15:02.4436845Z  * [new branch]              gh/pearu/142/orig           -> origin/gh/pearu/142/orig
2025-11-03T16:15:02.4436984Z  * [new branch]              gh/pearu/143/base           -> origin/gh/pearu/143/base
2025-11-03T16:15:02.4443822Z  * [new branch]              gh/pearu/143/head           -> origin/gh/pearu/143/head
2025-11-03T16:15:02.4445676Z  * [new branch]              gh/pearu/143/orig           -> origin/gh/pearu/143/orig
2025-11-03T16:15:02.4445829Z  * [new branch]              gh/pearu/144/base           -> origin/gh/pearu/144/base
2025-11-03T16:15:02.4445968Z  * [new branch]              gh/pearu/144/head           -> origin/gh/pearu/144/head
2025-11-03T16:15:02.4446114Z  * [new branch]              gh/pearu/144/orig           -> origin/gh/pearu/144/orig
2025-11-03T16:15:02.4446246Z  * [new branch]              gh/pearu/145/base           -> origin/gh/pearu/145/base
2025-11-03T16:15:02.4446490Z  * [new branch]              gh/pearu/145/head           -> origin/gh/pearu/145/head
2025-11-03T16:15:02.4451984Z  * [new branch]              gh/pearu/145/orig           -> origin/gh/pearu/145/orig
2025-11-03T16:15:02.4453785Z  * [new branch]              gh/pearu/146/base           -> origin/gh/pearu/146/base
2025-11-03T16:15:02.4454045Z  * [new branch]              gh/pearu/146/head           -> origin/gh/pearu/146/head
2025-11-03T16:15:02.4457433Z  * [new branch]              gh/pearu/147/base           -> origin/gh/pearu/147/base
2025-11-03T16:15:02.4457598Z  * [new branch]              gh/pearu/147/head           -> origin/gh/pearu/147/head
2025-11-03T16:15:02.4457742Z  * [new branch]              gh/pearu/147/orig           -> origin/gh/pearu/147/orig
2025-11-03T16:15:02.4457881Z  * [new branch]              gh/pearu/148/base           -> origin/gh/pearu/148/base
2025-11-03T16:15:02.4458012Z  * [new branch]              gh/pearu/148/head           -> origin/gh/pearu/148/head
2025-11-03T16:15:02.4458134Z  * [new branch]              gh/pearu/148/orig           -> origin/gh/pearu/148/orig
2025-11-03T16:15:02.4458273Z  * [new branch]              gh/pearu/149/base           -> origin/gh/pearu/149/base
2025-11-03T16:15:02.4458394Z  * [new branch]              gh/pearu/149/head           -> origin/gh/pearu/149/head
2025-11-03T16:15:02.4458517Z  * [new branch]              gh/pearu/149/orig           -> origin/gh/pearu/149/orig
2025-11-03T16:15:02.4458642Z  * [new branch]              gh/pearu/150/base           -> origin/gh/pearu/150/base
2025-11-03T16:15:02.4458759Z  * [new branch]              gh/pearu/150/head           -> origin/gh/pearu/150/head
2025-11-03T16:15:02.4458883Z  * [new branch]              gh/pearu/150/orig           -> origin/gh/pearu/150/orig
2025-11-03T16:15:02.4459137Z  * [new branch]              gh/pearu/56/base            -> origin/gh/pearu/56/base
2025-11-03T16:15:02.4459261Z  * [new branch]              gh/pearu/56/head            -> origin/gh/pearu/56/head
2025-11-03T16:15:02.4459385Z  * [new branch]              gh/pearu/56/orig            -> origin/gh/pearu/56/orig
2025-11-03T16:15:02.4459504Z  * [new branch]              gh/pearu/97/base            -> origin/gh/pearu/97/base
2025-11-03T16:15:02.4460915Z  * [new branch]              gh/pearu/97/head            -> origin/gh/pearu/97/head
2025-11-03T16:15:02.4461124Z  * [new branch]              gh/pearu/97/orig            -> origin/gh/pearu/97/orig
2025-11-03T16:15:02.4461384Z  * [new branch]              gh/pianpwk/1/base           -> origin/gh/pianpwk/1/base
2025-11-03T16:15:02.4461507Z  * [new branch]              gh/pianpwk/1/head           -> origin/gh/pianpwk/1/head
2025-11-03T16:15:02.4461696Z  * [new branch]              gh/pianpwk/1/orig           -> origin/gh/pianpwk/1/orig
2025-11-03T16:15:02.4466407Z  * [new branch]              gh/pianpwk/10/base          -> origin/gh/pianpwk/10/base
2025-11-03T16:15:02.4468241Z  * [new branch]              gh/pianpwk/10/head          -> origin/gh/pianpwk/10/head
2025-11-03T16:15:02.4468404Z  * [new branch]              gh/pianpwk/10/orig          -> origin/gh/pianpwk/10/orig
2025-11-03T16:15:02.4468554Z  * [new branch]              gh/pianpwk/11/base          -> origin/gh/pianpwk/11/base
2025-11-03T16:15:02.4468806Z  * [new branch]              gh/pianpwk/11/head          -> origin/gh/pianpwk/11/head
2025-11-03T16:15:02.4472655Z  * [new branch]              gh/pianpwk/11/orig          -> origin/gh/pianpwk/11/orig
2025-11-03T16:15:02.4473004Z  * [new branch]              gh/pianpwk/12/base          -> origin/gh/pianpwk/12/base
2025-11-03T16:15:02.4473171Z  * [new branch]              gh/pianpwk/12/head          -> origin/gh/pianpwk/12/head
2025-11-03T16:15:02.4473318Z  * [new branch]              gh/pianpwk/12/orig          -> origin/gh/pianpwk/12/orig
2025-11-03T16:15:02.4473472Z  * [new branch]              gh/pianpwk/13/base          -> origin/gh/pianpwk/13/base
2025-11-03T16:15:02.4473603Z  * [new branch]              gh/pianpwk/13/head          -> origin/gh/pianpwk/13/head
2025-11-03T16:15:02.4473857Z  * [new branch]              gh/pianpwk/13/orig          -> origin/gh/pianpwk/13/orig
2025-11-03T16:15:02.4474644Z  * [new branch]              gh/pianpwk/14/base          -> origin/gh/pianpwk/14/base
2025-11-03T16:15:02.4474814Z  * [new branch]              gh/pianpwk/14/head          -> origin/gh/pianpwk/14/head
2025-11-03T16:15:02.4474948Z  * [new branch]              gh/pianpwk/14/orig          -> origin/gh/pianpwk/14/orig
2025-11-03T16:15:02.4475083Z  * [new branch]              gh/pianpwk/15/base          -> origin/gh/pianpwk/15/base
2025-11-03T16:15:02.4475209Z  * [new branch]              gh/pianpwk/15/head          -> origin/gh/pianpwk/15/head
2025-11-03T16:15:02.4475346Z  * [new branch]              gh/pianpwk/15/orig          -> origin/gh/pianpwk/15/orig
2025-11-03T16:15:02.4475507Z  * [new branch]              gh/pianpwk/16/base          -> origin/gh/pianpwk/16/base
2025-11-03T16:15:02.4478246Z  * [new branch]              gh/pianpwk/16/head          -> origin/gh/pianpwk/16/head
2025-11-03T16:15:02.4478533Z  * [new branch]              gh/pianpwk/16/orig          -> origin/gh/pianpwk/16/orig
2025-11-03T16:15:02.4478681Z  * [new branch]              gh/pianpwk/17/base          -> origin/gh/pianpwk/17/base
2025-11-03T16:15:02.4478850Z  * [new branch]              gh/pianpwk/17/head          -> origin/gh/pianpwk/17/head
2025-11-03T16:15:02.4478988Z  * [new branch]              gh/pianpwk/17/orig          -> origin/gh/pianpwk/17/orig
2025-11-03T16:15:02.4479123Z  * [new branch]              gh/pianpwk/18/base          -> origin/gh/pianpwk/18/base
2025-11-03T16:15:02.4484753Z  * [new branch]              gh/pianpwk/18/head          -> origin/gh/pianpwk/18/head
2025-11-03T16:15:02.4489473Z  * [new branch]              gh/pianpwk/19/base          -> origin/gh/pianpwk/19/base
2025-11-03T16:15:02.4493514Z  * [new branch]              gh/pianpwk/19/head          -> origin/gh/pianpwk/19/head
2025-11-03T16:15:02.4497599Z  * [new branch]              gh/pianpwk/19/orig          -> origin/gh/pianpwk/19/orig
2025-11-03T16:15:02.4499426Z  * [new branch]              gh/pianpwk/2/base           -> origin/gh/pianpwk/2/base
2025-11-03T16:15:02.4499692Z  * [new branch]              gh/pianpwk/2/head           -> origin/gh/pianpwk/2/head
2025-11-03T16:15:02.4504316Z  * [new branch]              gh/pianpwk/2/orig           -> origin/gh/pianpwk/2/orig
2025-11-03T16:15:02.4506286Z  * [new branch]              gh/pianpwk/20/base          -> origin/gh/pianpwk/20/base
2025-11-03T16:15:02.4506541Z  * [new branch]              gh/pianpwk/20/head          -> origin/gh/pianpwk/20/head
2025-11-03T16:15:02.4511438Z  * [new branch]              gh/pianpwk/20/orig          -> origin/gh/pianpwk/20/orig
2025-11-03T16:15:02.4511730Z  * [new branch]              gh/pianpwk/21/base          -> origin/gh/pianpwk/21/base
2025-11-03T16:15:02.4511924Z  * [new branch]              gh/pianpwk/21/head          -> origin/gh/pianpwk/21/head
2025-11-03T16:15:02.4512125Z  * [new branch]              gh/pianpwk/22/base          -> origin/gh/pianpwk/22/base
2025-11-03T16:15:02.4512280Z  * [new branch]              gh/pianpwk/22/head          -> origin/gh/pianpwk/22/head
2025-11-03T16:15:02.4512403Z  * [new branch]              gh/pianpwk/22/orig          -> origin/gh/pianpwk/22/orig
2025-11-03T16:15:02.4512657Z  * [new branch]              gh/pianpwk/23/base          -> origin/gh/pianpwk/23/base
2025-11-03T16:15:02.4513339Z  * [new branch]              gh/pianpwk/23/head          -> origin/gh/pianpwk/23/head
2025-11-03T16:15:02.4513569Z  * [new branch]              gh/pianpwk/23/orig          -> origin/gh/pianpwk/23/orig
2025-11-03T16:15:02.4513701Z  * [new branch]              gh/pianpwk/24/base          -> origin/gh/pianpwk/24/base
2025-11-03T16:15:02.4513828Z  * [new branch]              gh/pianpwk/24/head          -> origin/gh/pianpwk/24/head
2025-11-03T16:15:02.4513977Z  * [new branch]              gh/pianpwk/24/orig          -> origin/gh/pianpwk/24/orig
2025-11-03T16:15:02.4514103Z  * [new branch]              gh/pianpwk/25/base          -> origin/gh/pianpwk/25/base
2025-11-03T16:15:02.4514368Z  * [new branch]              gh/pianpwk/25/head          -> origin/gh/pianpwk/25/head
2025-11-03T16:15:02.4514490Z  * [new branch]              gh/pianpwk/25/orig          -> origin/gh/pianpwk/25/orig
2025-11-03T16:15:02.4514621Z  * [new branch]              gh/pianpwk/26/base          -> origin/gh/pianpwk/26/base
2025-11-03T16:15:02.4514744Z  * [new branch]              gh/pianpwk/26/head          -> origin/gh/pianpwk/26/head
2025-11-03T16:15:02.4514868Z  * [new branch]              gh/pianpwk/26/orig          -> origin/gh/pianpwk/26/orig
2025-11-03T16:15:02.4514994Z  * [new branch]              gh/pianpwk/27/base          -> origin/gh/pianpwk/27/base
2025-11-03T16:15:02.4515116Z  * [new branch]              gh/pianpwk/27/head          -> origin/gh/pianpwk/27/head
2025-11-03T16:15:02.4515251Z  * [new branch]              gh/pianpwk/27/orig          -> origin/gh/pianpwk/27/orig
2025-11-03T16:15:02.4515370Z  * [new branch]              gh/pianpwk/28/base          -> origin/gh/pianpwk/28/base
2025-11-03T16:15:02.4515493Z  * [new branch]              gh/pianpwk/28/head          -> origin/gh/pianpwk/28/head
2025-11-03T16:15:02.4515625Z  * [new branch]              gh/pianpwk/28/orig          -> origin/gh/pianpwk/28/orig
2025-11-03T16:15:02.4515756Z  * [new branch]              gh/pianpwk/3/base           -> origin/gh/pianpwk/3/base
2025-11-03T16:15:02.4515890Z  * [new branch]              gh/pianpwk/3/head           -> origin/gh/pianpwk/3/head
2025-11-03T16:15:02.4516009Z  * [new branch]              gh/pianpwk/3/orig           -> origin/gh/pianpwk/3/orig
2025-11-03T16:15:02.4516131Z  * [new branch]              gh/pianpwk/4/base           -> origin/gh/pianpwk/4/base
2025-11-03T16:15:02.4516248Z  * [new branch]              gh/pianpwk/4/head           -> origin/gh/pianpwk/4/head
2025-11-03T16:15:02.4516445Z  * [new branch]              gh/pianpwk/4/orig           -> origin/gh/pianpwk/4/orig
2025-11-03T16:15:02.4516572Z  * [new branch]              gh/pianpwk/5/base           -> origin/gh/pianpwk/5/base
2025-11-03T16:15:02.4516691Z  * [new branch]              gh/pianpwk/5/head           -> origin/gh/pianpwk/5/head
2025-11-03T16:15:02.4516814Z  * [new branch]              gh/pianpwk/5/orig           -> origin/gh/pianpwk/5/orig
2025-11-03T16:15:02.4516935Z  * [new branch]              gh/pianpwk/6/base           -> origin/gh/pianpwk/6/base
2025-11-03T16:15:02.4517093Z  * [new branch]              gh/pianpwk/6/head           -> origin/gh/pianpwk/6/head
2025-11-03T16:15:02.4517217Z  * [new branch]              gh/pianpwk/6/orig           -> origin/gh/pianpwk/6/orig
2025-11-03T16:15:02.4517334Z  * [new branch]              gh/pianpwk/7/base           -> origin/gh/pianpwk/7/base
2025-11-03T16:15:02.4517459Z  * [new branch]              gh/pianpwk/7/head           -> origin/gh/pianpwk/7/head
2025-11-03T16:15:02.4517582Z  * [new branch]              gh/pianpwk/7/orig           -> origin/gh/pianpwk/7/orig
2025-11-03T16:15:02.4517706Z  * [new branch]              gh/pianpwk/8/base           -> origin/gh/pianpwk/8/base
2025-11-03T16:15:02.4517833Z  * [new branch]              gh/pianpwk/8/head           -> origin/gh/pianpwk/8/head
2025-11-03T16:15:02.4517955Z  * [new branch]              gh/pianpwk/8/orig           -> origin/gh/pianpwk/8/orig
2025-11-03T16:15:02.4518089Z  * [new branch]              gh/pianpwk/9/base           -> origin/gh/pianpwk/9/base
2025-11-03T16:15:02.4518363Z  * [new branch]              gh/pianpwk/9/head           -> origin/gh/pianpwk/9/head
2025-11-03T16:15:02.4518513Z  * [new branch]              gh/pianpwk/9/orig           -> origin/gh/pianpwk/9/orig
2025-11-03T16:15:02.4518643Z  * [new branch]              gh/qqaatw/29/head           -> origin/gh/qqaatw/29/head
2025-11-03T16:15:02.4518784Z  * [new branch]              gh/rec/141/base             -> origin/gh/rec/141/base
2025-11-03T16:15:02.4518916Z  * [new branch]              gh/rec/141/head             -> origin/gh/rec/141/head
2025-11-03T16:15:02.4519040Z  * [new branch]              gh/rec/153/base             -> origin/gh/rec/153/base
2025-11-03T16:15:02.4519494Z  * [new branch]              gh/rec/153/head             -> origin/gh/rec/153/head
2025-11-03T16:15:02.4522121Z  * [new branch]              gh/rec/153/orig             -> origin/gh/rec/153/orig
2025-11-03T16:15:02.4522349Z  * [new branch]              gh/rec/154/base             -> origin/gh/rec/154/base
2025-11-03T16:15:02.4526200Z  * [new branch]              gh/rec/154/head             -> origin/gh/rec/154/head
2025-11-03T16:15:02.4526444Z  * [new branch]              gh/rec/154/orig             -> origin/gh/rec/154/orig
2025-11-03T16:15:02.4526599Z  * [new branch]              gh/rec/164/base             -> origin/gh/rec/164/base
2025-11-03T16:15:02.4526730Z  * [new branch]              gh/rec/164/head             -> origin/gh/rec/164/head
2025-11-03T16:15:02.4526939Z  * [new branch]              gh/rec/164/orig             -> origin/gh/rec/164/orig
2025-11-03T16:15:02.4527084Z  * [new branch]              gh/rec/166/base             -> origin/gh/rec/166/base
2025-11-03T16:15:02.4527202Z  * [new branch]              gh/rec/166/head             -> origin/gh/rec/166/head
2025-11-03T16:15:02.4527314Z  * [new branch]              gh/rec/166/orig             -> origin/gh/rec/166/orig
2025-11-03T16:15:02.4531270Z  * [new branch]              gh/robert-hardwick/3/base   -> origin/gh/robert-hardwick/3/base
2025-11-03T16:15:02.4531486Z  * [new branch]              gh/robert-hardwick/3/head   -> origin/gh/robert-hardwick/3/head
2025-11-03T16:15:02.4531649Z  * [new branch]              gh/robert-hardwick/3/orig   -> origin/gh/robert-hardwick/3/orig
2025-11-03T16:15:02.4531866Z  * [new branch]              gh/robert-hardwick/4/base   -> origin/gh/robert-hardwick/4/base
2025-11-03T16:15:02.4536959Z  * [new branch]              gh/robert-hardwick/4/head   -> origin/gh/robert-hardwick/4/head
2025-11-03T16:15:02.4541080Z  * [new branch]              gh/robert-hardwick/4/orig   -> origin/gh/robert-hardwick/4/orig
2025-11-03T16:15:02.4545502Z  * [new branch]              gh/robert-hardwick/5/base   -> origin/gh/robert-hardwick/5/base
2025-11-03T16:15:02.4547488Z  * [new branch]              gh/robert-hardwick/5/head   -> origin/gh/robert-hardwick/5/head
2025-11-03T16:15:02.4547750Z  * [new branch]              gh/robert-hardwick/5/orig   -> origin/gh/robert-hardwick/5/orig
2025-11-03T16:15:02.4553098Z  * [new branch]              gh/rtimpe/1/base            -> origin/gh/rtimpe/1/base
2025-11-03T16:15:02.4553409Z  * [new branch]              gh/rtimpe/1/head            -> origin/gh/rtimpe/1/head
2025-11-03T16:15:02.4553587Z  * [new branch]              gh/rtimpe/11/base           -> origin/gh/rtimpe/11/base
2025-11-03T16:15:02.4553787Z  * [new branch]              gh/rtimpe/11/head           -> origin/gh/rtimpe/11/head
2025-11-03T16:15:02.4553963Z  * [new branch]              gh/rtimpe/11/orig           -> origin/gh/rtimpe/11/orig
2025-11-03T16:15:02.4554164Z  * [new branch]              gh/rtimpe/16/base           -> origin/gh/rtimpe/16/base
2025-11-03T16:15:02.4554741Z  * [new branch]              gh/rtimpe/16/head           -> origin/gh/rtimpe/16/head
2025-11-03T16:15:02.4554918Z  * [new branch]              gh/rtimpe/16/orig           -> origin/gh/rtimpe/16/orig
2025-11-03T16:15:02.4555050Z  * [new branch]              gh/rtimpe/19/base           -> origin/gh/rtimpe/19/base
2025-11-03T16:15:02.4555169Z  * [new branch]              gh/rtimpe/19/head           -> origin/gh/rtimpe/19/head
2025-11-03T16:15:02.4555291Z  * [new branch]              gh/rtimpe/19/orig           -> origin/gh/rtimpe/19/orig
2025-11-03T16:15:02.4555435Z  * [new branch]              gh/rtimpe/2/base            -> origin/gh/rtimpe/2/base
2025-11-03T16:15:02.4555553Z  * [new branch]              gh/rtimpe/2/head            -> origin/gh/rtimpe/2/head
2025-11-03T16:15:02.4555705Z  * [new branch]              gh/rtimpe/20/base           -> origin/gh/rtimpe/20/base
2025-11-03T16:15:02.4555829Z  * [new branch]              gh/rtimpe/20/head           -> origin/gh/rtimpe/20/head
2025-11-03T16:15:02.4555956Z  * [new branch]              gh/rtimpe/20/orig           -> origin/gh/rtimpe/20/orig
2025-11-03T16:15:02.4556210Z  * [new branch]              gh/rtimpe/21/base           -> origin/gh/rtimpe/21/base
2025-11-03T16:15:02.4556332Z  * [new branch]              gh/rtimpe/21/head           -> origin/gh/rtimpe/21/head
2025-11-03T16:15:02.4556461Z  * [new branch]              gh/rtimpe/21/orig           -> origin/gh/rtimpe/21/orig
2025-11-03T16:15:02.4556583Z  * [new branch]              gh/rtimpe/3/base            -> origin/gh/rtimpe/3/base
2025-11-03T16:15:02.4556710Z  * [new branch]              gh/rtimpe/3/head            -> origin/gh/rtimpe/3/head
2025-11-03T16:15:02.4556831Z  * [new branch]              gh/rtimpe/4/base            -> origin/gh/rtimpe/4/base
2025-11-03T16:15:02.4556950Z  * [new branch]              gh/rtimpe/4/head            -> origin/gh/rtimpe/4/head
2025-11-03T16:15:02.4557110Z  * [new branch]              gh/ruisizhang123/1/base     -> origin/gh/ruisizhang123/1/base
2025-11-03T16:15:02.4557254Z  * [new branch]              gh/ruisizhang123/1/head     -> origin/gh/ruisizhang123/1/head
2025-11-03T16:15:02.4557399Z  * [new branch]              gh/ruisizhang123/1/orig     -> origin/gh/ruisizhang123/1/orig
2025-11-03T16:15:02.4557535Z  * [new branch]              gh/ruisizhang123/4/base     -> origin/gh/ruisizhang123/4/base
2025-11-03T16:15:02.4557679Z  * [new branch]              gh/ruisizhang123/4/head     -> origin/gh/ruisizhang123/4/head
2025-11-03T16:15:02.4557815Z  * [new branch]              gh/ruisizhang123/4/orig     -> origin/gh/ruisizhang123/4/orig
2025-11-03T16:15:02.4557948Z  * [new branch]              gh/ruisizhang123/5/base     -> origin/gh/ruisizhang123/5/base
2025-11-03T16:15:02.4558099Z  * [new branch]              gh/ruisizhang123/5/head     -> origin/gh/ruisizhang123/5/head
2025-11-03T16:15:02.4558469Z  * [new branch]              gh/ruisizhang123/5/orig     -> origin/gh/ruisizhang123/5/orig
2025-11-03T16:15:02.4558620Z  * [new branch]              gh/ruisizhang123/6/base     -> origin/gh/ruisizhang123/6/base
2025-11-03T16:15:02.4558759Z  * [new branch]              gh/ruisizhang123/6/head     -> origin/gh/ruisizhang123/6/head
2025-11-03T16:15:02.4558915Z  * [new branch]              gh/ruisizhang123/6/orig     -> origin/gh/ruisizhang123/6/orig
2025-11-03T16:15:02.4559244Z  * [new branch]              gh/ruisizhang123/7/base     -> origin/gh/ruisizhang123/7/base
2025-11-03T16:15:02.4559437Z  * [new branch]              gh/ruisizhang123/7/head     -> origin/gh/ruisizhang123/7/head
2025-11-03T16:15:02.4562689Z  * [new branch]              gh/ruisizhang123/7/orig     -> origin/gh/ruisizhang123/7/orig
2025-11-03T16:15:02.4563006Z  * [new branch]              gh/ruisizhang123/8/base     -> origin/gh/ruisizhang123/8/base
2025-11-03T16:15:02.4563208Z  * [new branch]              gh/ruisizhang123/8/head     -> origin/gh/ruisizhang123/8/head
2025-11-03T16:15:02.4563423Z  * [new branch]              gh/ruisizhang123/8/orig     -> origin/gh/ruisizhang123/8/orig
2025-11-03T16:15:02.4563616Z  * [new branch]              gh/ruisizhang123/9/base     -> origin/gh/ruisizhang123/9/base
2025-11-03T16:15:02.4564558Z  * [new branch]              gh/ruisizhang123/9/head     -> origin/gh/ruisizhang123/9/head
2025-11-03T16:15:02.4564871Z  * [new branch]              gh/ruisizhang123/9/orig     -> origin/gh/ruisizhang123/9/orig
2025-11-03T16:15:02.4568402Z  * [new branch]              gh/seemethere/43/base       -> origin/gh/seemethere/43/base
2025-11-03T16:15:02.4568661Z  * [new branch]              gh/seemethere/43/head       -> origin/gh/seemethere/43/head
2025-11-03T16:15:02.4572705Z  * [new branch]              gh/seemethere/43/orig       -> origin/gh/seemethere/43/orig
2025-11-03T16:15:02.4572984Z  * [new branch]              gh/seemethere/44/base       -> origin/gh/seemethere/44/base
2025-11-03T16:15:02.4577735Z  * [new branch]              gh/seemethere/44/head       -> origin/gh/seemethere/44/head
2025-11-03T16:15:02.4581785Z  * [new branch]              gh/seemethere/44/orig       -> origin/gh/seemethere/44/orig
2025-11-03T16:15:02.4585368Z  * [new branch]              gh/seemethere/48/base       -> origin/gh/seemethere/48/base
2025-11-03T16:15:02.4586466Z  * [new branch]              gh/seemethere/48/head       -> origin/gh/seemethere/48/head
2025-11-03T16:15:02.4586634Z  * [new branch]              gh/seemethere/48/orig       -> origin/gh/seemethere/48/orig
2025-11-03T16:15:02.4586786Z  * [new branch]              gh/seemethere/49/base       -> origin/gh/seemethere/49/base
2025-11-03T16:15:02.4586921Z  * [new branch]              gh/seemethere/49/head       -> origin/gh/seemethere/49/head
2025-11-03T16:15:02.4587048Z  * [new branch]              gh/seemethere/49/orig       -> origin/gh/seemethere/49/orig
2025-11-03T16:15:02.4587182Z  * [new branch]              gh/seemethere/52/base       -> origin/gh/seemethere/52/base
2025-11-03T16:15:02.4587326Z  * [new branch]              gh/seemethere/52/head       -> origin/gh/seemethere/52/head
2025-11-03T16:15:02.4587457Z  * [new branch]              gh/seemethere/52/orig       -> origin/gh/seemethere/52/orig
2025-11-03T16:15:02.4587594Z  * [new branch]              gh/seemethere/53/base       -> origin/gh/seemethere/53/base
2025-11-03T16:15:02.4587721Z  * [new branch]              gh/seemethere/53/head       -> origin/gh/seemethere/53/head
2025-11-03T16:15:02.4587855Z  * [new branch]              gh/seemethere/53/orig       -> origin/gh/seemethere/53/orig
2025-11-03T16:15:02.4587983Z  * [new branch]              gh/seemethere/54/base       -> origin/gh/seemethere/54/base
2025-11-03T16:15:02.4588117Z  * [new branch]              gh/seemethere/54/head       -> origin/gh/seemethere/54/head
2025-11-03T16:15:02.4588244Z  * [new branch]              gh/seemethere/54/orig       -> origin/gh/seemethere/54/orig
2025-11-03T16:15:02.4588535Z  * [new branch]              gh/seemethere/55/base       -> origin/gh/seemethere/55/base
2025-11-03T16:15:02.4588675Z  * [new branch]              gh/seemethere/55/head       -> origin/gh/seemethere/55/head
2025-11-03T16:15:02.4588803Z  * [new branch]              gh/seemethere/55/orig       -> origin/gh/seemethere/55/orig
2025-11-03T16:15:02.4588940Z  * [new branch]              gh/seemethere/59/base       -> origin/gh/seemethere/59/base
2025-11-03T16:15:02.4589066Z  * [new branch]              gh/seemethere/59/head       -> origin/gh/seemethere/59/head
2025-11-03T16:15:02.4589193Z  * [new branch]              gh/seemethere/59/orig       -> origin/gh/seemethere/59/orig
2025-11-03T16:15:02.4589332Z  * [new branch]              gh/seemethere/62/base       -> origin/gh/seemethere/62/base
2025-11-03T16:15:02.4589464Z  * [new branch]              gh/seemethere/62/head       -> origin/gh/seemethere/62/head
2025-11-03T16:15:02.4589602Z  * [new branch]              gh/seemethere/62/orig       -> origin/gh/seemethere/62/orig
2025-11-03T16:15:02.4589733Z  * [new branch]              gh/seemethere/63/base       -> origin/gh/seemethere/63/base
2025-11-03T16:15:02.4592896Z  * [new branch]              gh/seemethere/63/head       -> origin/gh/seemethere/63/head
2025-11-03T16:15:02.4593039Z  * [new branch]              gh/seemethere/63/orig       -> origin/gh/seemethere/63/orig
2025-11-03T16:15:02.4593176Z  * [new branch]              gh/seemethere/71/base       -> origin/gh/seemethere/71/base
2025-11-03T16:15:02.4593311Z  * [new branch]              gh/seemethere/71/head       -> origin/gh/seemethere/71/head
2025-11-03T16:15:02.4593444Z  * [new branch]              gh/seemethere/71/orig       -> origin/gh/seemethere/71/orig
2025-11-03T16:15:02.4593843Z  * [new branch]              gh/seemethere/72/base       -> origin/gh/seemethere/72/base
2025-11-03T16:15:02.4594790Z  * [new branch]              gh/seemethere/72/head       -> origin/gh/seemethere/72/head
2025-11-03T16:15:02.4595157Z  * [new branch]              gh/seemethere/72/orig       -> origin/gh/seemethere/72/orig
2025-11-03T16:15:02.4596373Z  * [new branch]              gh/seemethere/73/base       -> origin/gh/seemethere/73/base
2025-11-03T16:15:02.4596742Z  * [new branch]              gh/seemethere/73/head       -> origin/gh/seemethere/73/head
2025-11-03T16:15:02.4597429Z  * [new branch]              gh/seemethere/73/orig       -> origin/gh/seemethere/73/orig
2025-11-03T16:15:02.4599411Z  * [new branch]              gh/shunting314/145/base     -> origin/gh/shunting314/145/base
2025-11-03T16:15:02.4599836Z  * [new branch]              gh/shunting314/145/head     -> origin/gh/shunting314/145/head
2025-11-03T16:15:02.4602130Z  * [new branch]              gh/shunting314/145/orig     -> origin/gh/shunting314/145/orig
2025-11-03T16:15:02.4604488Z  * [new branch]              gh/shunting314/176/base     -> origin/gh/shunting314/176/base
2025-11-03T16:15:02.4604655Z  * [new branch]              gh/shunting314/176/head     -> origin/gh/shunting314/176/head
2025-11-03T16:15:02.4604816Z  * [new branch]              gh/shunting314/176/orig     -> origin/gh/shunting314/176/orig
2025-11-03T16:15:02.4604953Z  * [new branch]              gh/shunting314/217/base     -> origin/gh/shunting314/217/base
2025-11-03T16:15:02.4605100Z  * [new branch]              gh/shunting314/217/head     -> origin/gh/shunting314/217/head
2025-11-03T16:15:02.4610794Z  * [new branch]              gh/shunting314/217/orig     -> origin/gh/shunting314/217/orig
2025-11-03T16:15:02.4612732Z  * [new branch]              gh/shunting314/228/base     -> origin/gh/shunting314/228/base
2025-11-03T16:15:02.4613053Z  * [new branch]              gh/shunting314/228/head     -> origin/gh/shunting314/228/head
2025-11-03T16:15:02.4617585Z  * [new branch]              gh/shunting314/228/orig     -> origin/gh/shunting314/228/orig
2025-11-03T16:15:02.4619664Z  * [new branch]              gh/shunting314/229/base     -> origin/gh/shunting314/229/base
2025-11-03T16:15:02.4619982Z  * [new branch]              gh/shunting314/229/head     -> origin/gh/shunting314/229/head
2025-11-03T16:15:02.4625538Z  * [new branch]              gh/shunting314/229/orig     -> origin/gh/shunting314/229/orig
2025-11-03T16:15:02.4627493Z  * [new branch]              gh/shunting314/230/base     -> origin/gh/shunting314/230/base
2025-11-03T16:15:02.4627835Z  * [new branch]              gh/shunting314/230/head     -> origin/gh/shunting314/230/head
2025-11-03T16:15:02.4633608Z  * [new branch]              gh/shunting314/230/orig     -> origin/gh/shunting314/230/orig
2025-11-03T16:15:02.4633923Z  * [new branch]              gh/shunting314/231/base     -> origin/gh/shunting314/231/base
2025-11-03T16:15:02.4634089Z  * [new branch]              gh/shunting314/231/head     -> origin/gh/shunting314/231/head
2025-11-03T16:15:02.4634320Z  * [new branch]              gh/shunting314/231/orig     -> origin/gh/shunting314/231/orig
2025-11-03T16:15:02.4634473Z  * [new branch]              gh/shunting314/232/base     -> origin/gh/shunting314/232/base
2025-11-03T16:15:02.4635182Z  * [new branch]              gh/shunting314/232/head     -> origin/gh/shunting314/232/head
2025-11-03T16:15:02.4635362Z  * [new branch]              gh/shunting314/232/orig     -> origin/gh/shunting314/232/orig
2025-11-03T16:15:02.4635608Z  * [new branch]              gh/shunting314/233/base     -> origin/gh/shunting314/233/base
2025-11-03T16:15:02.4635772Z  * [new branch]              gh/shunting314/233/head     -> origin/gh/shunting314/233/head
2025-11-03T16:15:02.4635927Z  * [new branch]              gh/shunting314/233/orig     -> origin/gh/shunting314/233/orig
2025-11-03T16:15:02.4636078Z  * [new branch]              gh/shunting314/234/base     -> origin/gh/shunting314/234/base
2025-11-03T16:15:02.4636217Z  * [new branch]              gh/shunting314/234/head     -> origin/gh/shunting314/234/head
2025-11-03T16:15:02.4636351Z  * [new branch]              gh/shunting314/234/orig     -> origin/gh/shunting314/234/orig
2025-11-03T16:15:02.4636483Z  * [new branch]              gh/shunting314/235/base     -> origin/gh/shunting314/235/base
2025-11-03T16:15:02.4636648Z  * [new branch]              gh/shunting314/235/head     -> origin/gh/shunting314/235/head
2025-11-03T16:15:02.4636785Z  * [new branch]              gh/shunting314/235/orig     -> origin/gh/shunting314/235/orig
2025-11-03T16:15:02.4637158Z  * [new branch]              gh/shunting314/236/base     -> origin/gh/shunting314/236/base
2025-11-03T16:15:02.4637294Z  * [new branch]              gh/shunting314/236/head     -> origin/gh/shunting314/236/head
2025-11-03T16:15:02.4637435Z  * [new branch]              gh/shunting314/236/orig     -> origin/gh/shunting314/236/orig
2025-11-03T16:15:02.4637572Z  * [new branch]              gh/shunting314/237/base     -> origin/gh/shunting314/237/base
2025-11-03T16:15:02.4637711Z  * [new branch]              gh/shunting314/237/head     -> origin/gh/shunting314/237/head
2025-11-03T16:15:02.4637858Z  * [new branch]              gh/shunting314/237/orig     -> origin/gh/shunting314/237/orig
2025-11-03T16:15:02.4637996Z  * [new branch]              gh/shunting314/238/base     -> origin/gh/shunting314/238/base
2025-11-03T16:15:02.4638136Z  * [new branch]              gh/shunting314/238/head     -> origin/gh/shunting314/238/head
2025-11-03T16:15:02.4638401Z  * [new branch]              gh/shunting314/238/orig     -> origin/gh/shunting314/238/orig
2025-11-03T16:15:02.4638552Z  * [new branch]              gh/shunting314/239/base     -> origin/gh/shunting314/239/base
2025-11-03T16:15:02.4638688Z  * [new branch]              gh/shunting314/239/head     -> origin/gh/shunting314/239/head
2025-11-03T16:15:02.4638820Z  * [new branch]              gh/shunting314/239/orig     -> origin/gh/shunting314/239/orig
2025-11-03T16:15:02.4638957Z  * [new branch]              gh/shunting314/240/base     -> origin/gh/shunting314/240/base
2025-11-03T16:15:02.4639092Z  * [new branch]              gh/shunting314/240/head     -> origin/gh/shunting314/240/head
2025-11-03T16:15:02.4639237Z  * [new branch]              gh/shunting314/240/orig     -> origin/gh/shunting314/240/orig
2025-11-03T16:15:02.4639418Z  * [new branch]              gh/shunting314/241/base     -> origin/gh/shunting314/241/base
2025-11-03T16:15:02.4639568Z  * [new branch]              gh/shunting314/241/head     -> origin/gh/shunting314/241/head
2025-11-03T16:15:02.4645300Z  * [new branch]              gh/shunting314/241/orig     -> origin/gh/shunting314/241/orig
2025-11-03T16:15:02.4647146Z  * [new branch]              gh/shunting314/242/base     -> origin/gh/shunting314/242/base
2025-11-03T16:15:02.4647440Z  * [new branch]              gh/shunting314/242/head     -> origin/gh/shunting314/242/head
2025-11-03T16:15:02.4650123Z  * [new branch]              gh/shunting314/242/orig     -> origin/gh/shunting314/242/orig
2025-11-03T16:15:02.4650384Z  * [new branch]              gh/shunting314/243/base     -> origin/gh/shunting314/243/base
2025-11-03T16:15:02.4654599Z  * [new branch]              gh/shunting314/243/head     -> origin/gh/shunting314/243/head
2025-11-03T16:15:02.4658817Z  * [new branch]              gh/shunting314/243/orig     -> origin/gh/shunting314/243/orig
2025-11-03T16:15:02.4660709Z  * [new branch]              gh/shunting314/244/base     -> origin/gh/shunting314/244/base
2025-11-03T16:15:02.4660972Z  * [new branch]              gh/shunting314/244/head     -> origin/gh/shunting314/244/head
2025-11-03T16:15:02.4664851Z  * [new branch]              gh/shunting314/244/orig     -> origin/gh/shunting314/244/orig
2025-11-03T16:15:02.4665098Z  * [new branch]              gh/shunting314/245/base     -> origin/gh/shunting314/245/base
2025-11-03T16:15:02.4670327Z  * [new branch]              gh/shunting314/245/head     -> origin/gh/shunting314/245/head
2025-11-03T16:15:02.4672102Z  * [new branch]              gh/shunting314/245/orig     -> origin/gh/shunting314/245/orig
2025-11-03T16:15:02.4672261Z  * [new branch]              gh/shunting314/246/base     -> origin/gh/shunting314/246/base
2025-11-03T16:15:02.4672403Z  * [new branch]              gh/shunting314/246/head     -> origin/gh/shunting314/246/head
2025-11-03T16:15:02.4672556Z  * [new branch]              gh/shunting314/246/orig     -> origin/gh/shunting314/246/orig
2025-11-03T16:15:02.4672688Z  * [new branch]              gh/shunting314/247/base     -> origin/gh/shunting314/247/base
2025-11-03T16:15:02.4673012Z  * [new branch]              gh/shunting314/247/head     -> origin/gh/shunting314/247/head
2025-11-03T16:15:02.4673145Z  * [new branch]              gh/shunting314/247/orig     -> origin/gh/shunting314/247/orig
2025-11-03T16:15:02.4673284Z  * [new branch]              gh/shunting314/248/base     -> origin/gh/shunting314/248/base
2025-11-03T16:15:02.4673415Z  * [new branch]              gh/shunting314/248/head     -> origin/gh/shunting314/248/head
2025-11-03T16:15:02.4673578Z  * [new branch]              gh/shunting314/248/orig     -> origin/gh/shunting314/248/orig
2025-11-03T16:15:02.4673714Z  * [new branch]              gh/shunting314/249/base     -> origin/gh/shunting314/249/base
2025-11-03T16:15:02.4673855Z  * [new branch]              gh/shunting314/249/head     -> origin/gh/shunting314/249/head
2025-11-03T16:15:02.4673986Z  * [new branch]              gh/shunting314/249/orig     -> origin/gh/shunting314/249/orig
2025-11-03T16:15:02.4674116Z  * [new branch]              gh/shunting314/250/base     -> origin/gh/shunting314/250/base
2025-11-03T16:15:02.4674259Z  * [new branch]              gh/shunting314/250/head     -> origin/gh/shunting314/250/head
2025-11-03T16:15:02.4674389Z  * [new branch]              gh/shunting314/250/orig     -> origin/gh/shunting314/250/orig
2025-11-03T16:15:02.4674523Z  * [new branch]              gh/shunting314/251/base     -> origin/gh/shunting314/251/base
2025-11-03T16:15:02.4674652Z  * [new branch]              gh/shunting314/251/head     -> origin/gh/shunting314/251/head
2025-11-03T16:15:02.4674781Z  * [new branch]              gh/shunting314/251/orig     -> origin/gh/shunting314/251/orig
2025-11-03T16:15:02.4674919Z  * [new branch]              gh/shunting314/252/base     -> origin/gh/shunting314/252/base
2025-11-03T16:15:02.4675103Z  * [new branch]              gh/shunting314/252/head     -> origin/gh/shunting314/252/head
2025-11-03T16:15:02.4675243Z  * [new branch]              gh/shunting314/252/orig     -> origin/gh/shunting314/252/orig
2025-11-03T16:15:02.4675374Z  * [new branch]              gh/shunting314/253/base     -> origin/gh/shunting314/253/base
2025-11-03T16:15:02.4675514Z  * [new branch]              gh/shunting314/253/head     -> origin/gh/shunting314/253/head
2025-11-03T16:15:02.4675645Z  * [new branch]              gh/shunting314/253/orig     -> origin/gh/shunting314/253/orig
2025-11-03T16:15:02.4675775Z  * [new branch]              gh/shunting314/254/base     -> origin/gh/shunting314/254/base
2025-11-03T16:15:02.4675914Z  * [new branch]              gh/shunting314/254/head     -> origin/gh/shunting314/254/head
2025-11-03T16:15:02.4676043Z  * [new branch]              gh/shunting314/254/orig     -> origin/gh/shunting314/254/orig
2025-11-03T16:15:02.4676182Z  * [new branch]              gh/shunting314/255/base     -> origin/gh/shunting314/255/base
2025-11-03T16:15:02.4676314Z  * [new branch]              gh/shunting314/255/head     -> origin/gh/shunting314/255/head
2025-11-03T16:15:02.4676454Z  * [new branch]              gh/shunting314/255/orig     -> origin/gh/shunting314/255/orig
2025-11-03T16:15:02.4676604Z  * [new branch]              gh/silverguo/1/base         -> origin/gh/silverguo/1/base
2025-11-03T16:15:02.4676734Z  * [new branch]              gh/silverguo/1/head         -> origin/gh/silverguo/1/head
2025-11-03T16:15:02.4676871Z  * [new branch]              gh/silverguo/2/base         -> origin/gh/silverguo/2/base
2025-11-03T16:15:02.4676997Z  * [new branch]              gh/silverguo/2/head         -> origin/gh/silverguo/2/head
2025-11-03T16:15:02.4677139Z  * [new branch]              gh/silverguo/3/base         -> origin/gh/silverguo/3/base
2025-11-03T16:15:02.4677430Z  * [new branch]              gh/silverguo/3/head         -> origin/gh/silverguo/3/head
2025-11-03T16:15:02.4678790Z  * [new branch]              gh/silverguo/4/base         -> origin/gh/silverguo/4/base
2025-11-03T16:15:02.4678933Z  * [new branch]              gh/silverguo/4/head         -> origin/gh/silverguo/4/head
2025-11-03T16:15:02.4682190Z  * [new branch]              gh/sinhaanhsul/1/base       -> origin/gh/sinhaanhsul/1/base
2025-11-03T16:15:02.4682679Z  * [new branch]              gh/sinhaanhsul/1/head       -> origin/gh/sinhaanhsul/1/head
2025-11-03T16:15:02.4682903Z  * [new branch]              gh/slayton58/14/base        -> origin/gh/slayton58/14/base
2025-11-03T16:15:02.4683053Z  * [new branch]              gh/slayton58/14/head        -> origin/gh/slayton58/14/head
2025-11-03T16:15:02.4683669Z  * [new branch]              gh/slayton58/14/orig        -> origin/gh/slayton58/14/orig
2025-11-03T16:15:02.4688746Z  * [new branch]              gh/slayton58/16/base        -> origin/gh/slayton58/16/base
2025-11-03T16:15:02.4690835Z  * [new branch]              gh/slayton58/16/head        -> origin/gh/slayton58/16/head
2025-11-03T16:15:02.4691091Z  * [new branch]              gh/slayton58/16/orig        -> origin/gh/slayton58/16/orig
2025-11-03T16:15:02.4695247Z  * [new branch]              gh/slayton58/17/base        -> origin/gh/slayton58/17/base
2025-11-03T16:15:02.4695502Z  * [new branch]              gh/slayton58/17/head        -> origin/gh/slayton58/17/head
2025-11-03T16:15:02.4700082Z  * [new branch]              gh/slayton58/17/orig        -> origin/gh/slayton58/17/orig
2025-11-03T16:15:02.4704148Z  * [new branch]              gh/slayton58/19/base        -> origin/gh/slayton58/19/base
2025-11-03T16:15:02.4707744Z  * [new branch]              gh/slayton58/19/head        -> origin/gh/slayton58/19/head
2025-11-03T16:15:02.4711623Z  * [new branch]              gh/slayton58/19/orig        -> origin/gh/slayton58/19/orig
2025-11-03T16:15:02.4713283Z  * [new branch]              gh/slayton58/20/base        -> origin/gh/slayton58/20/base
2025-11-03T16:15:02.4713422Z  * [new branch]              gh/slayton58/20/head        -> origin/gh/slayton58/20/head
2025-11-03T16:15:02.4713725Z  * [new branch]              gh/slayton58/20/orig        -> origin/gh/slayton58/20/orig
2025-11-03T16:15:02.4713865Z  * [new branch]              gh/slayton58/21/base        -> origin/gh/slayton58/21/base
2025-11-03T16:15:02.4714009Z  * [new branch]              gh/slayton58/21/head        -> origin/gh/slayton58/21/head
2025-11-03T16:15:02.4714139Z  * [new branch]              gh/slayton58/21/orig        -> origin/gh/slayton58/21/orig
2025-11-03T16:15:02.4714269Z  * [new branch]              gh/slayton58/23/base        -> origin/gh/slayton58/23/base
2025-11-03T16:15:02.4714409Z  * [new branch]              gh/slayton58/23/head        -> origin/gh/slayton58/23/head
2025-11-03T16:15:02.4714560Z  * [new branch]              gh/slayton58/23/orig        -> origin/gh/slayton58/23/orig
2025-11-03T16:15:02.4714694Z  * [new branch]              gh/slayton58/25/base        -> origin/gh/slayton58/25/base
2025-11-03T16:15:02.4714825Z  * [new branch]              gh/slayton58/25/head        -> origin/gh/slayton58/25/head
2025-11-03T16:15:02.4714968Z  * [new branch]              gh/slayton58/25/orig        -> origin/gh/slayton58/25/orig
2025-11-03T16:15:02.4715096Z  * [new branch]              gh/slayton58/26/base        -> origin/gh/slayton58/26/base
2025-11-03T16:15:02.4715223Z  * [new branch]              gh/slayton58/26/head        -> origin/gh/slayton58/26/head
2025-11-03T16:15:02.4715358Z  * [new branch]              gh/slayton58/26/orig        -> origin/gh/slayton58/26/orig
2025-11-03T16:15:02.4715486Z  * [new branch]              gh/slayton58/27/base        -> origin/gh/slayton58/27/base
2025-11-03T16:15:02.4715619Z  * [new branch]              gh/slayton58/27/head        -> origin/gh/slayton58/27/head
2025-11-03T16:15:02.4715744Z  * [new branch]              gh/slayton58/27/orig        -> origin/gh/slayton58/27/orig
2025-11-03T16:15:02.4715871Z  * [new branch]              gh/slayton58/28/base        -> origin/gh/slayton58/28/base
2025-11-03T16:15:02.4716006Z  * [new branch]              gh/slayton58/28/head        -> origin/gh/slayton58/28/head
2025-11-03T16:15:02.4716136Z  * [new branch]              gh/slayton58/28/orig        -> origin/gh/slayton58/28/orig
2025-11-03T16:15:02.4716266Z  * [new branch]              gh/slayton58/29/base        -> origin/gh/slayton58/29/base
2025-11-03T16:15:02.4716467Z  * [new branch]              gh/slayton58/29/head        -> origin/gh/slayton58/29/head
2025-11-03T16:15:02.4716703Z  * [new branch]              gh/slayton58/29/head-jeffdaily-patch-1 -> origin/gh/slayton58/29/head-jeffdaily-patch-1
2025-11-03T16:15:02.4716907Z  * [new branch]              gh/slayton58/29/head-jeffdaily-patch-2 -> origin/gh/slayton58/29/head-jeffdaily-patch-2
2025-11-03T16:15:02.4717032Z  * [new branch]              gh/slayton58/29/orig        -> origin/gh/slayton58/29/orig
2025-11-03T16:15:02.4717166Z  * [new branch]              gh/slayton58/30/base        -> origin/gh/slayton58/30/base
2025-11-03T16:15:02.4717328Z  * [new branch]              gh/slayton58/30/head        -> origin/gh/slayton58/30/head
2025-11-03T16:15:02.4717469Z  * [new branch]              gh/slayton58/30/orig        -> origin/gh/slayton58/30/orig
2025-11-03T16:15:02.4717598Z  * [new branch]              gh/slayton58/31/base        -> origin/gh/slayton58/31/base
2025-11-03T16:15:02.4717738Z  * [new branch]              gh/slayton58/31/head        -> origin/gh/slayton58/31/head
2025-11-03T16:15:02.4717874Z  * [new branch]              gh/slayton58/31/orig        -> origin/gh/slayton58/31/orig
2025-11-03T16:15:02.4718002Z  * [new branch]              gh/slayton58/32/base        -> origin/gh/slayton58/32/base
2025-11-03T16:15:02.4718145Z  * [new branch]              gh/slayton58/32/head        -> origin/gh/slayton58/32/head
2025-11-03T16:15:02.4718368Z  * [new branch]              gh/slayton58/32/orig        -> origin/gh/slayton58/32/orig
2025-11-03T16:15:02.4718514Z  * [new branch]              gh/slayton58/33/base        -> origin/gh/slayton58/33/base
2025-11-03T16:15:02.4718720Z  * [new branch]              gh/slayton58/33/head        -> origin/gh/slayton58/33/head
2025-11-03T16:15:02.4723613Z  * [new branch]              gh/slayton58/33/orig        -> origin/gh/slayton58/33/orig
2025-11-03T16:15:02.4723747Z  * [new branch]              gh/slayton58/34/base        -> origin/gh/slayton58/34/base
2025-11-03T16:15:02.4723876Z  * [new branch]              gh/slayton58/34/head        -> origin/gh/slayton58/34/head
2025-11-03T16:15:02.4724010Z  * [new branch]              gh/slayton58/34/orig        -> origin/gh/slayton58/34/orig
2025-11-03T16:15:02.4724133Z  * [new branch]              gh/slayton58/35/base        -> origin/gh/slayton58/35/base
2025-11-03T16:15:02.4724268Z  * [new branch]              gh/slayton58/35/head        -> origin/gh/slayton58/35/head
2025-11-03T16:15:02.4730662Z  * [new branch]              gh/slayton58/35/orig        -> origin/gh/slayton58/35/orig
2025-11-03T16:15:02.4735250Z  * [new branch]              gh/slayton58/36/base        -> origin/gh/slayton58/36/base
2025-11-03T16:15:02.4738624Z  * [new branch]              gh/slayton58/36/head        -> origin/gh/slayton58/36/head
2025-11-03T16:15:02.4741979Z  * [new branch]              gh/slayton58/36/orig        -> origin/gh/slayton58/36/orig
2025-11-03T16:15:02.4745975Z  * [new branch]              gh/slayton58/37/base        -> origin/gh/slayton58/37/base
2025-11-03T16:15:02.4749721Z  * [new branch]              gh/slayton58/37/head        -> origin/gh/slayton58/37/head
2025-11-03T16:15:02.4749894Z  * [new branch]              gh/slayton58/37/orig        -> origin/gh/slayton58/37/orig
2025-11-03T16:15:02.4750027Z  * [new branch]              gh/slayton58/38/base        -> origin/gh/slayton58/38/base
2025-11-03T16:15:02.4750164Z  * [new branch]              gh/slayton58/38/head        -> origin/gh/slayton58/38/head
2025-11-03T16:15:02.4750296Z  * [new branch]              gh/slayton58/38/orig        -> origin/gh/slayton58/38/orig
2025-11-03T16:15:02.4750438Z  * [new branch]              gh/slayton58/39/base        -> origin/gh/slayton58/39/base
2025-11-03T16:15:02.4750588Z  * [new branch]              gh/slayton58/39/head        -> origin/gh/slayton58/39/head
2025-11-03T16:15:02.4750718Z  * [new branch]              gh/slayton58/39/orig        -> origin/gh/slayton58/39/orig
2025-11-03T16:15:02.4751034Z  * [new branch]              gh/slayton58/40/base        -> origin/gh/slayton58/40/base
2025-11-03T16:15:02.4751168Z  * [new branch]              gh/slayton58/40/head        -> origin/gh/slayton58/40/head
2025-11-03T16:15:02.4751305Z  * [new branch]              gh/slayton58/40/orig        -> origin/gh/slayton58/40/orig
2025-11-03T16:15:02.4751438Z  * [new branch]              gh/slayton58/41/base        -> origin/gh/slayton58/41/base
2025-11-03T16:15:02.4751579Z  * [new branch]              gh/slayton58/41/head        -> origin/gh/slayton58/41/head
2025-11-03T16:15:02.4751709Z  * [new branch]              gh/slayton58/41/orig        -> origin/gh/slayton58/41/orig
2025-11-03T16:15:02.4751866Z  * [new branch]              gh/slayton58/42/base        -> origin/gh/slayton58/42/base
2025-11-03T16:15:02.4752010Z  * [new branch]              gh/slayton58/42/head        -> origin/gh/slayton58/42/head
2025-11-03T16:15:02.4752138Z  * [new branch]              gh/slayton58/42/orig        -> origin/gh/slayton58/42/orig
2025-11-03T16:15:02.4752291Z  * [new branch]              gh/slayton58/6/base         -> origin/gh/slayton58/6/base
2025-11-03T16:15:02.4752424Z  * [new branch]              gh/slayton58/6/head         -> origin/gh/slayton58/6/head
2025-11-03T16:15:02.4752563Z  * [new branch]              gh/slayton58/7/base         -> origin/gh/slayton58/7/base
2025-11-03T16:15:02.4752693Z  * [new branch]              gh/slayton58/7/head         -> origin/gh/slayton58/7/head
2025-11-03T16:15:02.4752836Z  * [new branch]              gh/soulitzer/269/base       -> origin/gh/soulitzer/269/base
2025-11-03T16:15:02.4752977Z  * [new branch]              gh/soulitzer/269/head       -> origin/gh/soulitzer/269/head
2025-11-03T16:15:02.4753175Z  * [new branch]              gh/soulitzer/269/orig       -> origin/gh/soulitzer/269/orig
2025-11-03T16:15:02.4753318Z  * [new branch]              gh/soulitzer/276/base       -> origin/gh/soulitzer/276/base
2025-11-03T16:15:02.4753449Z  * [new branch]              gh/soulitzer/276/head       -> origin/gh/soulitzer/276/head
2025-11-03T16:15:02.4753583Z  * [new branch]              gh/soulitzer/276/orig       -> origin/gh/soulitzer/276/orig
2025-11-03T16:15:02.4753727Z  * [new branch]              gh/soulitzer/287/base       -> origin/gh/soulitzer/287/base
2025-11-03T16:15:02.4753859Z  * [new branch]              gh/soulitzer/287/head       -> origin/gh/soulitzer/287/head
2025-11-03T16:15:02.4753995Z  * [new branch]              gh/soulitzer/287/orig       -> origin/gh/soulitzer/287/orig
2025-11-03T16:15:02.4754125Z  * [new branch]              gh/soulitzer/296/base       -> origin/gh/soulitzer/296/base
2025-11-03T16:15:02.4754305Z  * [new branch]              gh/soulitzer/296/head       -> origin/gh/soulitzer/296/head
2025-11-03T16:15:02.4755254Z  * [new branch]              gh/soulitzer/296/orig       -> origin/gh/soulitzer/296/orig
2025-11-03T16:15:02.4756657Z  * [new branch]              gh/soulitzer/299/base       -> origin/gh/soulitzer/299/base
2025-11-03T16:15:02.4756796Z  * [new branch]              gh/soulitzer/299/head       -> origin/gh/soulitzer/299/head
2025-11-03T16:15:02.4757573Z  * [new branch]              gh/soulitzer/299/orig       -> origin/gh/soulitzer/299/orig
2025-11-03T16:15:02.4758690Z  * [new branch]              gh/soulitzer/300/base       -> origin/gh/soulitzer/300/base
2025-11-03T16:15:02.4759420Z  * [new branch]              gh/soulitzer/300/head       -> origin/gh/soulitzer/300/head
2025-11-03T16:15:02.4759991Z  * [new branch]              gh/soulitzer/300/orig       -> origin/gh/soulitzer/300/orig
2025-11-03T16:15:02.4763993Z  * [new branch]              gh/soulitzer/301/base       -> origin/gh/soulitzer/301/base
2025-11-03T16:15:02.4764174Z  * [new branch]              gh/soulitzer/301/head       -> origin/gh/soulitzer/301/head
2025-11-03T16:15:02.4764328Z  * [new branch]              gh/soulitzer/301/orig       -> origin/gh/soulitzer/301/orig
2025-11-03T16:15:02.4764474Z  * [new branch]              gh/soulitzer/313/base       -> origin/gh/soulitzer/313/base
2025-11-03T16:15:02.4764758Z  * [new branch]              gh/soulitzer/313/head       -> origin/gh/soulitzer/313/head
2025-11-03T16:15:02.4765006Z  * [new branch]              gh/soulitzer/313/orig       -> origin/gh/soulitzer/313/orig
2025-11-03T16:15:02.4770258Z  * [new branch]              gh/soulitzer/319/base       -> origin/gh/soulitzer/319/base
2025-11-03T16:15:02.4772149Z  * [new branch]              gh/soulitzer/319/head       -> origin/gh/soulitzer/319/head
2025-11-03T16:15:02.4772408Z  * [new branch]              gh/soulitzer/319/orig       -> origin/gh/soulitzer/319/orig
2025-11-03T16:15:02.4777449Z  * [new branch]              gh/soulitzer/320/base       -> origin/gh/soulitzer/320/base
2025-11-03T16:15:02.4782608Z  * [new branch]              gh/soulitzer/320/head       -> origin/gh/soulitzer/320/head
2025-11-03T16:15:02.4784287Z  * [new branch]              gh/soulitzer/320/orig       -> origin/gh/soulitzer/320/orig
2025-11-03T16:15:02.4784543Z  * [new branch]              gh/soulitzer/336/base       -> origin/gh/soulitzer/336/base
2025-11-03T16:15:02.4789845Z  * [new branch]              gh/soulitzer/336/head       -> origin/gh/soulitzer/336/head
2025-11-03T16:15:02.4791839Z  * [new branch]              gh/soulitzer/336/orig       -> origin/gh/soulitzer/336/orig
2025-11-03T16:15:02.4792021Z  * [new branch]              gh/soulitzer/347/base       -> origin/gh/soulitzer/347/base
2025-11-03T16:15:02.4792153Z  * [new branch]              gh/soulitzer/347/head       -> origin/gh/soulitzer/347/head
2025-11-03T16:15:02.4792280Z  * [new branch]              gh/soulitzer/347/orig       -> origin/gh/soulitzer/347/orig
2025-11-03T16:15:02.4792414Z  * [new branch]              gh/soulitzer/349/base       -> origin/gh/soulitzer/349/base
2025-11-03T16:15:02.4792818Z  * [new branch]              gh/soulitzer/349/head       -> origin/gh/soulitzer/349/head
2025-11-03T16:15:02.4792956Z  * [new branch]              gh/soulitzer/349/orig       -> origin/gh/soulitzer/349/orig
2025-11-03T16:15:02.4793084Z  * [new branch]              gh/soulitzer/350/base       -> origin/gh/soulitzer/350/base
2025-11-03T16:15:02.4793225Z  * [new branch]              gh/soulitzer/350/head       -> origin/gh/soulitzer/350/head
2025-11-03T16:15:02.4793351Z  * [new branch]              gh/soulitzer/350/orig       -> origin/gh/soulitzer/350/orig
2025-11-03T16:15:02.4793476Z  * [new branch]              gh/soulitzer/351/base       -> origin/gh/soulitzer/351/base
2025-11-03T16:15:02.4793612Z  * [new branch]              gh/soulitzer/351/head       -> origin/gh/soulitzer/351/head
2025-11-03T16:15:02.4793737Z  * [new branch]              gh/soulitzer/351/orig       -> origin/gh/soulitzer/351/orig
2025-11-03T16:15:02.4793872Z  * [new branch]              gh/soulitzer/353/base       -> origin/gh/soulitzer/353/base
2025-11-03T16:15:02.4794000Z  * [new branch]              gh/soulitzer/353/head       -> origin/gh/soulitzer/353/head
2025-11-03T16:15:02.4794126Z  * [new branch]              gh/soulitzer/353/orig       -> origin/gh/soulitzer/353/orig
2025-11-03T16:15:02.4794261Z  * [new branch]              gh/soulitzer/358/base       -> origin/gh/soulitzer/358/base
2025-11-03T16:15:02.4794385Z  * [new branch]              gh/soulitzer/358/head       -> origin/gh/soulitzer/358/head
2025-11-03T16:15:02.4794518Z  * [new branch]              gh/soulitzer/358/orig       -> origin/gh/soulitzer/358/orig
2025-11-03T16:15:02.4794641Z  * [new branch]              gh/soulitzer/359/base       -> origin/gh/soulitzer/359/base
2025-11-03T16:15:02.4794773Z  * [new branch]              gh/soulitzer/359/head       -> origin/gh/soulitzer/359/head
2025-11-03T16:15:02.4794901Z  * [new branch]              gh/soulitzer/359/orig       -> origin/gh/soulitzer/359/orig
2025-11-03T16:15:02.4795026Z  * [new branch]              gh/soulitzer/374/base       -> origin/gh/soulitzer/374/base
2025-11-03T16:15:02.4795157Z  * [new branch]              gh/soulitzer/374/head       -> origin/gh/soulitzer/374/head
2025-11-03T16:15:02.4795281Z  * [new branch]              gh/soulitzer/374/orig       -> origin/gh/soulitzer/374/orig
2025-11-03T16:15:02.4795466Z  * [new branch]              gh/soulitzer/375/base       -> origin/gh/soulitzer/375/base
2025-11-03T16:15:02.4795597Z  * [new branch]              gh/soulitzer/375/head       -> origin/gh/soulitzer/375/head
2025-11-03T16:15:02.4795726Z  * [new branch]              gh/soulitzer/375/orig       -> origin/gh/soulitzer/375/orig
2025-11-03T16:15:02.4795850Z  * [new branch]              gh/soulitzer/380/base       -> origin/gh/soulitzer/380/base
2025-11-03T16:15:02.4795972Z  * [new branch]              gh/soulitzer/380/head       -> origin/gh/soulitzer/380/head
2025-11-03T16:15:02.4796102Z  * [new branch]              gh/soulitzer/380/orig       -> origin/gh/soulitzer/380/orig
2025-11-03T16:15:02.4796570Z  * [new branch]              gh/soulitzer/381/base       -> origin/gh/soulitzer/381/base
2025-11-03T16:15:02.4797128Z  * [new branch]              gh/soulitzer/381/head       -> origin/gh/soulitzer/381/head
2025-11-03T16:15:02.4797942Z  * [new branch]              gh/soulitzer/381/orig       -> origin/gh/soulitzer/381/orig
2025-11-03T16:15:02.4798655Z  * [new branch]              gh/soulitzer/384/base       -> origin/gh/soulitzer/384/base
2025-11-03T16:15:02.4799754Z  * [new branch]              gh/soulitzer/384/head       -> origin/gh/soulitzer/384/head
2025-11-03T16:15:02.4799956Z  * [new branch]              gh/soulitzer/384/orig       -> origin/gh/soulitzer/384/orig
2025-11-03T16:15:02.4804080Z  * [new branch]              gh/soulitzer/385/base       -> origin/gh/soulitzer/385/base
2025-11-03T16:15:02.4804243Z  * [new branch]              gh/soulitzer/385/head       -> origin/gh/soulitzer/385/head
2025-11-03T16:15:02.4804388Z  * [new branch]              gh/soulitzer/385/orig       -> origin/gh/soulitzer/385/orig
2025-11-03T16:15:02.4804666Z  * [new branch]              gh/soulitzer/386/base       -> origin/gh/soulitzer/386/base
2025-11-03T16:15:02.4804817Z  * [new branch]              gh/soulitzer/386/head       -> origin/gh/soulitzer/386/head
2025-11-03T16:15:02.4810180Z  * [new branch]              gh/soulitzer/386/orig       -> origin/gh/soulitzer/386/orig
2025-11-03T16:15:02.4812668Z  * [new branch]              gh/soulitzer/387/base       -> origin/gh/soulitzer/387/base
2025-11-03T16:15:02.4812934Z  * [new branch]              gh/soulitzer/387/head       -> origin/gh/soulitzer/387/head
2025-11-03T16:15:02.4818466Z  * [new branch]              gh/soulitzer/387/orig       -> origin/gh/soulitzer/387/orig
2025-11-03T16:15:02.4820476Z  * [new branch]              gh/swolchok/728/next        -> origin/gh/swolchok/728/next
2025-11-03T16:15:02.4820748Z  * [new branch]              gh/swolchok/786/base        -> origin/gh/swolchok/786/base
2025-11-03T16:15:02.4824204Z  * [new branch]              gh/swolchok/786/head        -> origin/gh/swolchok/786/head
2025-11-03T16:15:02.4824457Z  * [new branch]              gh/swolchok/786/orig        -> origin/gh/swolchok/786/orig
2025-11-03T16:15:02.4829121Z  * [new branch]              gh/swolchok/787/base        -> origin/gh/swolchok/787/base
2025-11-03T16:15:02.4833247Z  * [new branch]              gh/swolchok/787/head        -> origin/gh/swolchok/787/head
2025-11-03T16:15:02.4833420Z  * [new branch]              gh/swolchok/787/orig        -> origin/gh/swolchok/787/orig
2025-11-03T16:15:02.4833551Z  * [new branch]              gh/swolchok/819/base        -> origin/gh/swolchok/819/base
2025-11-03T16:15:02.4833690Z  * [new branch]              gh/swolchok/819/head        -> origin/gh/swolchok/819/head
2025-11-03T16:15:02.4833820Z  * [new branch]              gh/swolchok/819/orig        -> origin/gh/swolchok/819/orig
2025-11-03T16:15:02.4833955Z  * [new branch]              gh/swolchok/824/base        -> origin/gh/swolchok/824/base
2025-11-03T16:15:02.4834111Z  * [new branch]              gh/swolchok/824/head        -> origin/gh/swolchok/824/head
2025-11-03T16:15:02.4834244Z  * [new branch]              gh/swolchok/824/orig        -> origin/gh/swolchok/824/orig
2025-11-03T16:15:02.4834369Z  * [new branch]              gh/swolchok/829/base        -> origin/gh/swolchok/829/base
2025-11-03T16:15:02.4834632Z  * [new branch]              gh/swolchok/829/head        -> origin/gh/swolchok/829/head
2025-11-03T16:15:02.4834766Z  * [new branch]              gh/swolchok/829/orig        -> origin/gh/swolchok/829/orig
2025-11-03T16:15:02.4834887Z  * [new branch]              gh/swolchok/838/base        -> origin/gh/swolchok/838/base
2025-11-03T16:15:02.4835020Z  * [new branch]              gh/swolchok/838/head        -> origin/gh/swolchok/838/head
2025-11-03T16:15:02.4835168Z  * [new branch]              gh/swolchok/838/orig        -> origin/gh/swolchok/838/orig
2025-11-03T16:15:02.4835309Z  * [new branch]              gh/swolchok/839/base        -> origin/gh/swolchok/839/base
2025-11-03T16:15:02.4835438Z  * [new branch]              gh/swolchok/839/head        -> origin/gh/swolchok/839/head
2025-11-03T16:15:02.4835567Z  * [new branch]              gh/swolchok/839/orig        -> origin/gh/swolchok/839/orig
2025-11-03T16:15:02.4835704Z  * [new branch]              gh/swolchok/841/base        -> origin/gh/swolchok/841/base
2025-11-03T16:15:02.4835830Z  * [new branch]              gh/swolchok/841/head        -> origin/gh/swolchok/841/head
2025-11-03T16:15:02.4835961Z  * [new branch]              gh/swolchok/841/orig        -> origin/gh/swolchok/841/orig
2025-11-03T16:15:02.4836085Z  * [new branch]              gh/swolchok/842/base        -> origin/gh/swolchok/842/base
2025-11-03T16:15:02.4836217Z  * [new branch]              gh/swolchok/842/head        -> origin/gh/swolchok/842/head
2025-11-03T16:15:02.4836341Z  * [new branch]              gh/swolchok/842/orig        -> origin/gh/swolchok/842/orig
2025-11-03T16:15:02.4836466Z  * [new branch]              gh/swolchok/843/base        -> origin/gh/swolchok/843/base
2025-11-03T16:15:02.4836649Z  * [new branch]              gh/swolchok/843/head        -> origin/gh/swolchok/843/head
2025-11-03T16:15:02.4836779Z  * [new branch]              gh/swolchok/843/orig        -> origin/gh/swolchok/843/orig
2025-11-03T16:15:02.4836918Z  * [new branch]              gh/swolchok/844/base        -> origin/gh/swolchok/844/base
2025-11-03T16:15:02.4837049Z  * [new branch]              gh/swolchok/844/head        -> origin/gh/swolchok/844/head
2025-11-03T16:15:02.4837176Z  * [new branch]              gh/swolchok/844/orig        -> origin/gh/swolchok/844/orig
2025-11-03T16:15:02.4837312Z  * [new branch]              gh/swolchok/845/base        -> origin/gh/swolchok/845/base
2025-11-03T16:15:02.4837439Z  * [new branch]              gh/swolchok/845/head        -> origin/gh/swolchok/845/head
2025-11-03T16:15:02.4837576Z  * [new branch]              gh/swolchok/845/orig        -> origin/gh/swolchok/845/orig
2025-11-03T16:15:02.4837711Z  * [new branch]              gh/swolchok/847/base        -> origin/gh/swolchok/847/base
2025-11-03T16:15:02.4837849Z  * [new branch]              gh/swolchok/847/head        -> origin/gh/swolchok/847/head
2025-11-03T16:15:02.4837978Z  * [new branch]              gh/swolchok/847/orig        -> origin/gh/swolchok/847/orig
2025-11-03T16:15:02.4838114Z  * [new branch]              gh/swolchok/848/base        -> origin/gh/swolchok/848/base
2025-11-03T16:15:02.4838644Z  * [new branch]              gh/swolchok/848/head        -> origin/gh/swolchok/848/head
2025-11-03T16:15:02.4842480Z  * [new branch]              gh/swolchok/848/orig        -> origin/gh/swolchok/848/orig
2025-11-03T16:15:02.4842745Z  * [new branch]              gh/swolchok/849/base        -> origin/gh/swolchok/849/base
2025-11-03T16:15:02.4847592Z  * [new branch]              gh/swolchok/849/head        -> origin/gh/swolchok/849/head
2025-11-03T16:15:02.4849365Z  * [new branch]              gh/swolchok/849/orig        -> origin/gh/swolchok/849/orig
2025-11-03T16:15:02.4849652Z  * [new branch]              gh/swolchok/850/base        -> origin/gh/swolchok/850/base
2025-11-03T16:15:02.4849863Z  * [new branch]              gh/swolchok/850/head        -> origin/gh/swolchok/850/head
2025-11-03T16:15:02.4850008Z  * [new branch]              gh/swolchok/850/orig        -> origin/gh/swolchok/850/orig
2025-11-03T16:15:02.4850308Z  * [new branch]              gh/swolchok/851/base        -> origin/gh/swolchok/851/base
2025-11-03T16:15:02.4850442Z  * [new branch]              gh/swolchok/851/head        -> origin/gh/swolchok/851/head
2025-11-03T16:15:02.4850573Z  * [new branch]              gh/swolchok/851/orig        -> origin/gh/swolchok/851/orig
2025-11-03T16:15:02.4850711Z  * [new branch]              gh/swolchok/852/base        -> origin/gh/swolchok/852/base
2025-11-03T16:15:02.4850842Z  * [new branch]              gh/swolchok/852/head        -> origin/gh/swolchok/852/head
2025-11-03T16:15:02.4850978Z  * [new branch]              gh/swolchok/852/orig        -> origin/gh/swolchok/852/orig
2025-11-03T16:15:02.4851111Z  * [new branch]              gh/swolchok/853/base        -> origin/gh/swolchok/853/base
2025-11-03T16:15:02.4855719Z  * [new branch]              gh/swolchok/853/head        -> origin/gh/swolchok/853/head
2025-11-03T16:15:02.4857769Z  * [new branch]              gh/swolchok/853/orig        -> origin/gh/swolchok/853/orig
2025-11-03T16:15:02.4858040Z  * [new branch]              gh/swolchok/854/base        -> origin/gh/swolchok/854/base
2025-11-03T16:15:02.4860921Z  * [new branch]              gh/swolchok/854/head        -> origin/gh/swolchok/854/head
2025-11-03T16:15:02.4861180Z  * [new branch]              gh/swolchok/854/orig        -> origin/gh/swolchok/854/orig
2025-11-03T16:15:02.4867086Z  * [new branch]              gh/swolchok/855/base        -> origin/gh/swolchok/855/base
2025-11-03T16:15:02.4868595Z  * [new branch]              gh/swolchok/855/head        -> origin/gh/swolchok/855/head
2025-11-03T16:15:02.4868745Z  * [new branch]              gh/swolchok/855/orig        -> origin/gh/swolchok/855/orig
2025-11-03T16:15:02.4869080Z  * [new branch]              gh/swolchok/856/base        -> origin/gh/swolchok/856/base
2025-11-03T16:15:02.4869221Z  * [new branch]              gh/swolchok/856/head        -> origin/gh/swolchok/856/head
2025-11-03T16:15:02.4869362Z  * [new branch]              gh/swolchok/856/orig        -> origin/gh/swolchok/856/orig
2025-11-03T16:15:02.4869486Z  * [new branch]              gh/swolchok/857/base        -> origin/gh/swolchok/857/base
2025-11-03T16:15:02.4869608Z  * [new branch]              gh/swolchok/857/head        -> origin/gh/swolchok/857/head
2025-11-03T16:15:02.4869738Z  * [new branch]              gh/swolchok/857/orig        -> origin/gh/swolchok/857/orig
2025-11-03T16:15:02.4869982Z  * [new branch]              gh/swolchok/858/base        -> origin/gh/swolchok/858/base
2025-11-03T16:15:02.4872473Z  * [new branch]              gh/swolchok/858/head        -> origin/gh/swolchok/858/head
2025-11-03T16:15:02.4872666Z  * [new branch]              gh/swolchok/858/orig        -> origin/gh/swolchok/858/orig
2025-11-03T16:15:02.4872802Z  * [new branch]              gh/swolchok/859/base        -> origin/gh/swolchok/859/base
2025-11-03T16:15:02.4872939Z  * [new branch]              gh/swolchok/859/head        -> origin/gh/swolchok/859/head
2025-11-03T16:15:02.4873089Z  * [new branch]              gh/swolchok/859/orig        -> origin/gh/swolchok/859/orig
2025-11-03T16:15:02.4873220Z  * [new branch]              gh/swolchok/860/base        -> origin/gh/swolchok/860/base
2025-11-03T16:15:02.4873354Z  * [new branch]              gh/swolchok/860/head        -> origin/gh/swolchok/860/head
2025-11-03T16:15:02.4873484Z  * [new branch]              gh/swolchok/860/orig        -> origin/gh/swolchok/860/orig
2025-11-03T16:15:02.4873620Z  * [new branch]              gh/swolchok/861/base        -> origin/gh/swolchok/861/base
2025-11-03T16:15:02.4873746Z  * [new branch]              gh/swolchok/861/head        -> origin/gh/swolchok/861/head
2025-11-03T16:15:02.4873879Z  * [new branch]              gh/swolchok/861/orig        -> origin/gh/swolchok/861/orig
2025-11-03T16:15:02.4874017Z  * [new branch]              gh/swolchok/862/base        -> origin/gh/swolchok/862/base
2025-11-03T16:15:02.4874145Z  * [new branch]              gh/swolchok/862/head        -> origin/gh/swolchok/862/head
2025-11-03T16:15:02.4874475Z  * [new branch]              gh/swolchok/862/orig        -> origin/gh/swolchok/862/orig
2025-11-03T16:15:02.4874611Z  * [new branch]              gh/swolchok/863/base        -> origin/gh/swolchok/863/base
2025-11-03T16:15:02.4874747Z  * [new branch]              gh/swolchok/863/head        -> origin/gh/swolchok/863/head
2025-11-03T16:15:02.4875236Z  * [new branch]              gh/swolchok/863/orig        -> origin/gh/swolchok/863/orig
2025-11-03T16:15:02.4879411Z  * [new branch]              gh/swolchok/864/base        -> origin/gh/swolchok/864/base
2025-11-03T16:15:02.4886020Z  * [new branch]              gh/swolchok/864/head        -> origin/gh/swolchok/864/head
2025-11-03T16:15:02.4888186Z  * [new branch]              gh/swolchok/864/orig        -> origin/gh/swolchok/864/orig
2025-11-03T16:15:02.4888443Z  * [new branch]              gh/swolchok/865/base        -> origin/gh/swolchok/865/base
2025-11-03T16:15:02.4893027Z  * [new branch]              gh/swolchok/865/head        -> origin/gh/swolchok/865/head
2025-11-03T16:15:02.4895003Z  * [new branch]              gh/swolchok/865/orig        -> origin/gh/swolchok/865/orig
2025-11-03T16:15:02.4895268Z  * [new branch]              gh/teja-rao/4/base          -> origin/gh/teja-rao/4/base
2025-11-03T16:15:02.4900103Z  * [new branch]              gh/teja-rao/4/head          -> origin/gh/teja-rao/4/head
2025-11-03T16:15:02.4902336Z  * [new branch]              gh/teja-rao/4/orig          -> origin/gh/teja-rao/4/orig
2025-11-03T16:15:02.4902593Z  * [new branch]              gh/tianyu-l/2/base          -> origin/gh/tianyu-l/2/base
2025-11-03T16:15:02.4905759Z  * [new branch]              gh/tianyu-l/2/head          -> origin/gh/tianyu-l/2/head
2025-11-03T16:15:02.4906155Z  * [new branch]              gh/tianyu-l/2/orig          -> origin/gh/tianyu-l/2/orig
2025-11-03T16:15:02.4910980Z  * [new branch]              gh/tugsbayasgalan/10/base   -> origin/gh/tugsbayasgalan/10/base
2025-11-03T16:15:02.4915096Z  * [new branch]              gh/tugsbayasgalan/10/head   -> origin/gh/tugsbayasgalan/10/head
2025-11-03T16:15:02.4915295Z  * [new branch]              gh/tugsbayasgalan/10/orig   -> origin/gh/tugsbayasgalan/10/orig
2025-11-03T16:15:02.4915445Z  * [new branch]              gh/tugsbayasgalan/13/base   -> origin/gh/tugsbayasgalan/13/base
2025-11-03T16:15:02.4915598Z  * [new branch]              gh/tugsbayasgalan/13/head   -> origin/gh/tugsbayasgalan/13/head
2025-11-03T16:15:02.4915742Z  * [new branch]              gh/tugsbayasgalan/13/orig   -> origin/gh/tugsbayasgalan/13/orig
2025-11-03T16:15:02.4915889Z  * [new branch]              gh/tugsbayasgalan/17/base   -> origin/gh/tugsbayasgalan/17/base
2025-11-03T16:15:02.4916080Z  * [new branch]              gh/tugsbayasgalan/17/head   -> origin/gh/tugsbayasgalan/17/head
2025-11-03T16:15:02.4916229Z  * [new branch]              gh/tugsbayasgalan/17/orig   -> origin/gh/tugsbayasgalan/17/orig
2025-11-03T16:15:02.4916400Z  * [new branch]              gh/tugsbayasgalan/2/base    -> origin/gh/tugsbayasgalan/2/base
2025-11-03T16:15:02.4916556Z  * [new branch]              gh/tugsbayasgalan/2/head    -> origin/gh/tugsbayasgalan/2/head
2025-11-03T16:15:02.4916712Z  * [new branch]              gh/tugsbayasgalan/2/orig    -> origin/gh/tugsbayasgalan/2/orig
2025-11-03T16:15:02.4916861Z  * [new branch]              gh/tugsbayasgalan/28/base   -> origin/gh/tugsbayasgalan/28/base
2025-11-03T16:15:02.4917007Z  * [new branch]              gh/tugsbayasgalan/28/head   -> origin/gh/tugsbayasgalan/28/head
2025-11-03T16:15:02.4917162Z  * [new branch]              gh/tugsbayasgalan/28/orig   -> origin/gh/tugsbayasgalan/28/orig
2025-11-03T16:15:02.4917310Z  * [new branch]              gh/tugsbayasgalan/3/base    -> origin/gh/tugsbayasgalan/3/base
2025-11-03T16:15:02.4917466Z  * [new branch]              gh/tugsbayasgalan/3/head    -> origin/gh/tugsbayasgalan/3/head
2025-11-03T16:15:02.4917611Z  * [new branch]              gh/tugsbayasgalan/3/orig    -> origin/gh/tugsbayasgalan/3/orig
2025-11-03T16:15:02.4917956Z  * [new branch]              gh/tugsbayasgalan/32/base   -> origin/gh/tugsbayasgalan/32/base
2025-11-03T16:15:02.4918112Z  * [new branch]              gh/tugsbayasgalan/32/head   -> origin/gh/tugsbayasgalan/32/head
2025-11-03T16:15:02.4918391Z  * [new branch]              gh/tugsbayasgalan/32/orig   -> origin/gh/tugsbayasgalan/32/orig
2025-11-03T16:15:02.4918552Z  * [new branch]              gh/tugsbayasgalan/35/base   -> origin/gh/tugsbayasgalan/35/base
2025-11-03T16:15:02.4918697Z  * [new branch]              gh/tugsbayasgalan/35/head   -> origin/gh/tugsbayasgalan/35/head
2025-11-03T16:15:02.4918852Z  * [new branch]              gh/tugsbayasgalan/35/orig   -> origin/gh/tugsbayasgalan/35/orig
2025-11-03T16:15:02.4919012Z  * [new branch]              gh/tugsbayasgalan/36/base   -> origin/gh/tugsbayasgalan/36/base
2025-11-03T16:15:02.4919166Z  * [new branch]              gh/tugsbayasgalan/36/head   -> origin/gh/tugsbayasgalan/36/head
2025-11-03T16:15:02.4919312Z  * [new branch]              gh/tugsbayasgalan/36/orig   -> origin/gh/tugsbayasgalan/36/orig
2025-11-03T16:15:02.4919461Z  * [new branch]              gh/tugsbayasgalan/37/base   -> origin/gh/tugsbayasgalan/37/base
2025-11-03T16:15:02.4919614Z  * [new branch]              gh/tugsbayasgalan/37/head   -> origin/gh/tugsbayasgalan/37/head
2025-11-03T16:15:02.4919759Z  * [new branch]              gh/tugsbayasgalan/37/orig   -> origin/gh/tugsbayasgalan/37/orig
2025-11-03T16:15:02.4919912Z  * [new branch]              gh/tugsbayasgalan/39/base   -> origin/gh/tugsbayasgalan/39/base
2025-11-03T16:15:02.4920057Z  * [new branch]              gh/tugsbayasgalan/39/head   -> origin/gh/tugsbayasgalan/39/head
2025-11-03T16:15:02.4920201Z  * [new branch]              gh/tugsbayasgalan/39/orig   -> origin/gh/tugsbayasgalan/39/orig
2025-11-03T16:15:02.4920409Z  * [new branch]              gh/tugsbayasgalan/43/base   -> origin/gh/tugsbayasgalan/43/base
2025-11-03T16:15:02.4920569Z  * [new branch]              gh/tugsbayasgalan/43/head   -> origin/gh/tugsbayasgalan/43/head
2025-11-03T16:15:02.4920731Z  * [new branch]              gh/tugsbayasgalan/43/orig   -> origin/gh/tugsbayasgalan/43/orig
2025-11-03T16:15:02.4920893Z  * [new branch]              gh/tugsbayasgalan/46/base   -> origin/gh/tugsbayasgalan/46/base
2025-11-03T16:15:02.4921040Z  * [new branch]              gh/tugsbayasgalan/46/head   -> origin/gh/tugsbayasgalan/46/head
2025-11-03T16:15:02.4921180Z  * [new branch]              gh/tugsbayasgalan/46/orig   -> origin/gh/tugsbayasgalan/46/orig
2025-11-03T16:15:02.4921321Z  * [new branch]              gh/tugsbayasgalan/47/base   -> origin/gh/tugsbayasgalan/47/base
2025-11-03T16:15:02.4921471Z  * [new branch]              gh/tugsbayasgalan/47/head   -> origin/gh/tugsbayasgalan/47/head
2025-11-03T16:15:02.4921620Z  * [new branch]              gh/tugsbayasgalan/47/orig   -> origin/gh/tugsbayasgalan/47/orig
2025-11-03T16:15:02.4921769Z  * [new branch]              gh/tugsbayasgalan/48/base   -> origin/gh/tugsbayasgalan/48/base
2025-11-03T16:15:02.4921914Z  * [new branch]              gh/tugsbayasgalan/48/head   -> origin/gh/tugsbayasgalan/48/head
2025-11-03T16:15:02.4922061Z  * [new branch]              gh/tugsbayasgalan/48/orig   -> origin/gh/tugsbayasgalan/48/orig
2025-11-03T16:15:02.4925544Z  * [new branch]              gh/tugsbayasgalan/49/base   -> origin/gh/tugsbayasgalan/49/base
2025-11-03T16:15:02.4925804Z  * [new branch]              gh/tugsbayasgalan/49/head   -> origin/gh/tugsbayasgalan/49/head
2025-11-03T16:15:02.4930617Z  * [new branch]              gh/tugsbayasgalan/49/orig   -> origin/gh/tugsbayasgalan/49/orig
2025-11-03T16:15:02.4934789Z  * [new branch]              gh/tugsbayasgalan/50/base   -> origin/gh/tugsbayasgalan/50/base
2025-11-03T16:15:02.4938906Z  * [new branch]              gh/tugsbayasgalan/50/head   -> origin/gh/tugsbayasgalan/50/head
2025-11-03T16:15:02.4940747Z  * [new branch]              gh/tugsbayasgalan/50/orig   -> origin/gh/tugsbayasgalan/50/orig
2025-11-03T16:15:02.4940920Z  * [new branch]              gh/tugsbayasgalan/51/base   -> origin/gh/tugsbayasgalan/51/base
2025-11-03T16:15:02.4941208Z  * [new branch]              gh/tugsbayasgalan/51/head   -> origin/gh/tugsbayasgalan/51/head
2025-11-03T16:15:02.4941361Z  * [new branch]              gh/tugsbayasgalan/51/orig   -> origin/gh/tugsbayasgalan/51/orig
2025-11-03T16:15:02.4941511Z  * [new branch]              gh/tugsbayasgalan/52/base   -> origin/gh/tugsbayasgalan/52/base
2025-11-03T16:15:02.4941667Z  * [new branch]              gh/tugsbayasgalan/52/head   -> origin/gh/tugsbayasgalan/52/head
2025-11-03T16:15:02.4941813Z  * [new branch]              gh/tugsbayasgalan/52/orig   -> origin/gh/tugsbayasgalan/52/orig
2025-11-03T16:15:02.4941956Z  * [new branch]              gh/tugsbayasgalan/53/base   -> origin/gh/tugsbayasgalan/53/base
2025-11-03T16:15:02.4942114Z  * [new branch]              gh/tugsbayasgalan/53/head   -> origin/gh/tugsbayasgalan/53/head
2025-11-03T16:15:02.4942258Z  * [new branch]              gh/tugsbayasgalan/53/orig   -> origin/gh/tugsbayasgalan/53/orig
2025-11-03T16:15:02.4942412Z  * [new branch]              gh/tugsbayasgalan/54/base   -> origin/gh/tugsbayasgalan/54/base
2025-11-03T16:15:02.4942555Z  * [new branch]              gh/tugsbayasgalan/54/head   -> origin/gh/tugsbayasgalan/54/head
2025-11-03T16:15:02.4942709Z  * [new branch]              gh/tugsbayasgalan/54/orig   -> origin/gh/tugsbayasgalan/54/orig
2025-11-03T16:15:02.4942854Z  * [new branch]              gh/tugsbayasgalan/55/base   -> origin/gh/tugsbayasgalan/55/base
2025-11-03T16:15:02.4942999Z  * [new branch]              gh/tugsbayasgalan/55/head   -> origin/gh/tugsbayasgalan/55/head
2025-11-03T16:15:02.4943150Z  * [new branch]              gh/tugsbayasgalan/55/orig   -> origin/gh/tugsbayasgalan/55/orig
2025-11-03T16:15:02.4947308Z  * [new branch]              gh/tugsbayasgalan/56/base   -> origin/gh/tugsbayasgalan/56/base
2025-11-03T16:15:02.4951117Z  * [new branch]              gh/tugsbayasgalan/56/head   -> origin/gh/tugsbayasgalan/56/head
2025-11-03T16:15:02.4951300Z  * [new branch]              gh/tugsbayasgalan/56/orig   -> origin/gh/tugsbayasgalan/56/orig
2025-11-03T16:15:02.4951478Z  * [new branch]              gh/tugsbayasgalan/57/base   -> origin/gh/tugsbayasgalan/57/base
2025-11-03T16:15:02.4951627Z  * [new branch]              gh/tugsbayasgalan/57/head   -> origin/gh/tugsbayasgalan/57/head
2025-11-03T16:15:02.4951787Z  * [new branch]              gh/tugsbayasgalan/57/orig   -> origin/gh/tugsbayasgalan/57/orig
2025-11-03T16:15:02.4951933Z  * [new branch]              gh/tugsbayasgalan/58/base   -> origin/gh/tugsbayasgalan/58/base
2025-11-03T16:15:02.4952080Z  * [new branch]              gh/tugsbayasgalan/58/head   -> origin/gh/tugsbayasgalan/58/head
2025-11-03T16:15:02.4952257Z  * [new branch]              gh/tugsbayasgalan/58/orig   -> origin/gh/tugsbayasgalan/58/orig
2025-11-03T16:15:02.4952406Z  * [new branch]              gh/tugsbayasgalan/59/base   -> origin/gh/tugsbayasgalan/59/base
2025-11-03T16:15:02.4952563Z  * [new branch]              gh/tugsbayasgalan/59/head   -> origin/gh/tugsbayasgalan/59/head
2025-11-03T16:15:02.4952719Z  * [new branch]              gh/tugsbayasgalan/59/orig   -> origin/gh/tugsbayasgalan/59/orig
2025-11-03T16:15:02.4952891Z  * [new branch]              gh/tugsbayasgalan/6/base    -> origin/gh/tugsbayasgalan/6/base
2025-11-03T16:15:02.4953113Z  * [new branch]              gh/tugsbayasgalan/6/head    -> origin/gh/tugsbayasgalan/6/head
2025-11-03T16:15:02.4954033Z  * [new branch]              gh/tugsbayasgalan/6/orig    -> origin/gh/tugsbayasgalan/6/orig
2025-11-03T16:15:02.4954662Z  * [new branch]              gh/tugsbayasgalan/60/base   -> origin/gh/tugsbayasgalan/60/base
2025-11-03T16:15:02.4955574Z  * [new branch]              gh/tugsbayasgalan/60/head   -> origin/gh/tugsbayasgalan/60/head
2025-11-03T16:15:02.4955892Z  * [new branch]              gh/tugsbayasgalan/60/orig   -> origin/gh/tugsbayasgalan/60/orig
2025-11-03T16:15:02.4957571Z  * [new branch]              gh/tugsbayasgalan/61/base   -> origin/gh/tugsbayasgalan/61/base
2025-11-03T16:15:02.4957899Z  * [new branch]              gh/tugsbayasgalan/61/head   -> origin/gh/tugsbayasgalan/61/head
2025-11-03T16:15:02.4958684Z  * [new branch]              gh/tugsbayasgalan/61/orig   -> origin/gh/tugsbayasgalan/61/orig
2025-11-03T16:15:02.4963319Z  * [new branch]              gh/tugsbayasgalan/62/base   -> origin/gh/tugsbayasgalan/62/base
2025-11-03T16:15:02.4963597Z  * [new branch]              gh/tugsbayasgalan/62/head   -> origin/gh/tugsbayasgalan/62/head
2025-11-03T16:15:02.4968085Z  * [new branch]              gh/tugsbayasgalan/62/orig   -> origin/gh/tugsbayasgalan/62/orig
2025-11-03T16:15:02.4970120Z  * [new branch]              gh/tugsbayasgalan/63/base   -> origin/gh/tugsbayasgalan/63/base
2025-11-03T16:15:02.4970403Z  * [new branch]              gh/tugsbayasgalan/63/head   -> origin/gh/tugsbayasgalan/63/head
2025-11-03T16:15:02.4975822Z  * [new branch]              gh/tugsbayasgalan/63/orig   -> origin/gh/tugsbayasgalan/63/orig
2025-11-03T16:15:02.4977733Z  * [new branch]              gh/tugsbayasgalan/64/base   -> origin/gh/tugsbayasgalan/64/base
2025-11-03T16:15:02.4978013Z  * [new branch]              gh/tugsbayasgalan/64/head   -> origin/gh/tugsbayasgalan/64/head
2025-11-03T16:15:02.4980471Z  * [new branch]              gh/tugsbayasgalan/64/orig   -> origin/gh/tugsbayasgalan/64/orig
2025-11-03T16:15:02.4980734Z  * [new branch]              gh/tugsbayasgalan/65/base   -> origin/gh/tugsbayasgalan/65/base
2025-11-03T16:15:02.4986334Z  * [new branch]              gh/tugsbayasgalan/65/head   -> origin/gh/tugsbayasgalan/65/head
2025-11-03T16:15:02.4990383Z  * [new branch]              gh/tugsbayasgalan/65/orig   -> origin/gh/tugsbayasgalan/65/orig
2025-11-03T16:15:02.4992610Z  * [new branch]              gh/tugsbayasgalan/66/base   -> origin/gh/tugsbayasgalan/66/base
2025-11-03T16:15:02.4993011Z  * [new branch]              gh/tugsbayasgalan/66/head   -> origin/gh/tugsbayasgalan/66/head
2025-11-03T16:15:02.4993171Z  * [new branch]              gh/tugsbayasgalan/66/orig   -> origin/gh/tugsbayasgalan/66/orig
2025-11-03T16:15:02.4993336Z  * [new branch]              gh/tugsbayasgalan/67/base   -> origin/gh/tugsbayasgalan/67/base
2025-11-03T16:15:02.4993483Z  * [new branch]              gh/tugsbayasgalan/67/head   -> origin/gh/tugsbayasgalan/67/head
2025-11-03T16:15:02.4993643Z  * [new branch]              gh/tugsbayasgalan/67/orig   -> origin/gh/tugsbayasgalan/67/orig
2025-11-03T16:15:02.4993791Z  * [new branch]              gh/tugsbayasgalan/68/base   -> origin/gh/tugsbayasgalan/68/base
2025-11-03T16:15:02.4993950Z  * [new branch]              gh/tugsbayasgalan/68/head   -> origin/gh/tugsbayasgalan/68/head
2025-11-03T16:15:02.4994093Z  * [new branch]              gh/tugsbayasgalan/68/orig   -> origin/gh/tugsbayasgalan/68/orig
2025-11-03T16:15:02.4994242Z  * [new branch]              gh/tugsbayasgalan/69/base   -> origin/gh/tugsbayasgalan/69/base
2025-11-03T16:15:02.4994394Z  * [new branch]              gh/tugsbayasgalan/69/head   -> origin/gh/tugsbayasgalan/69/head
2025-11-03T16:15:02.4994536Z  * [new branch]              gh/tugsbayasgalan/69/orig   -> origin/gh/tugsbayasgalan/69/orig
2025-11-03T16:15:02.4994708Z  * [new branch]              gh/tugsbayasgalan/7/base    -> origin/gh/tugsbayasgalan/7/base
2025-11-03T16:15:02.4994857Z  * [new branch]              gh/tugsbayasgalan/7/head    -> origin/gh/tugsbayasgalan/7/head
2025-11-03T16:15:02.4995002Z  * [new branch]              gh/tugsbayasgalan/7/orig    -> origin/gh/tugsbayasgalan/7/orig
2025-11-03T16:15:02.4995209Z  * [new branch]              gh/tugsbayasgalan/70/base   -> origin/gh/tugsbayasgalan/70/base
2025-11-03T16:15:02.4995362Z  * [new branch]              gh/tugsbayasgalan/70/head   -> origin/gh/tugsbayasgalan/70/head
2025-11-03T16:15:02.4995511Z  * [new branch]              gh/tugsbayasgalan/70/orig   -> origin/gh/tugsbayasgalan/70/orig
2025-11-03T16:15:02.4995652Z  * [new branch]              gh/tugsbayasgalan/71/base   -> origin/gh/tugsbayasgalan/71/base
2025-11-03T16:15:02.4995803Z  * [new branch]              gh/tugsbayasgalan/71/head   -> origin/gh/tugsbayasgalan/71/head
2025-11-03T16:15:02.4996012Z  * [new branch]              gh/tugsbayasgalan/71/orig   -> origin/gh/tugsbayasgalan/71/orig
2025-11-03T16:15:02.4996162Z  * [new branch]              gh/tugsbayasgalan/8/base    -> origin/gh/tugsbayasgalan/8/base
2025-11-03T16:15:02.4996317Z  * [new branch]              gh/tugsbayasgalan/8/head    -> origin/gh/tugsbayasgalan/8/head
2025-11-03T16:15:02.4996462Z  * [new branch]              gh/tugsbayasgalan/8/orig    -> origin/gh/tugsbayasgalan/8/orig
2025-11-03T16:15:02.4996612Z  * [new branch]              gh/tugsbayasgalan/9/base    -> origin/gh/tugsbayasgalan/9/base
2025-11-03T16:15:02.4996758Z  * [new branch]              gh/tugsbayasgalan/9/head    -> origin/gh/tugsbayasgalan/9/head
2025-11-03T16:15:02.4996913Z  * [new branch]              gh/tugsbayasgalan/9/orig    -> origin/gh/tugsbayasgalan/9/orig
2025-11-03T16:15:02.4997056Z  * [new branch]              gh/v0i0/13/base             -> origin/gh/v0i0/13/base
2025-11-03T16:15:02.4997185Z  * [new branch]              gh/v0i0/13/head             -> origin/gh/v0i0/13/head
2025-11-03T16:15:02.4997311Z  * [new branch]              gh/v0i0/13/orig             -> origin/gh/v0i0/13/orig
2025-11-03T16:15:02.4997430Z  * [new branch]              gh/v0i0/14/base             -> origin/gh/v0i0/14/base
2025-11-03T16:15:02.4997555Z  * [new branch]              gh/v0i0/14/head             -> origin/gh/v0i0/14/head
2025-11-03T16:15:02.4997676Z  * [new branch]              gh/v0i0/14/orig             -> origin/gh/v0i0/14/orig
2025-11-03T16:15:02.4999085Z  * [new branch]              gh/vishal9-team/1/base      -> origin/gh/vishal9-team/1/base
2025-11-03T16:15:02.5004593Z  * [new branch]              gh/vishal9-team/1/head      -> origin/gh/vishal9-team/1/head
2025-11-03T16:15:02.5009221Z  * [new branch]              gh/vishal9-team/2/base      -> origin/gh/vishal9-team/2/base
2025-11-03T16:15:02.5011157Z  * [new branch]              gh/vishal9-team/2/head      -> origin/gh/vishal9-team/2/head
2025-11-03T16:15:02.5011440Z  * [new branch]              gh/vishal9-team/2/orig      -> origin/gh/vishal9-team/2/orig
2025-11-03T16:15:02.5016561Z  * [new branch]              gh/vishal9-team/3/base      -> origin/gh/vishal9-team/3/base
2025-11-03T16:15:02.5018705Z  * [new branch]              gh/vishal9-team/3/head      -> origin/gh/vishal9-team/3/head
2025-11-03T16:15:02.5018964Z  * [new branch]              gh/vishal9-team/3/orig      -> origin/gh/vishal9-team/3/orig
2025-11-03T16:15:02.5023191Z  * [new branch]              gh/vkuzo/1/next             -> origin/gh/vkuzo/1/next
2025-11-03T16:15:02.5025117Z  * [new branch]              gh/vkuzo/2/next             -> origin/gh/vkuzo/2/next
2025-11-03T16:15:02.5025365Z  * [new branch]              gh/vkuzo/3/next             -> origin/gh/vkuzo/3/next
2025-11-03T16:15:02.5031259Z  * [new branch]              gh/wconstab/424/base        -> origin/gh/wconstab/424/base
2025-11-03T16:15:02.5031573Z  * [new branch]              gh/wconstab/424/head        -> origin/gh/wconstab/424/head
2025-11-03T16:15:02.5031759Z  * [new branch]              gh/wconstab/424/orig        -> origin/gh/wconstab/424/orig
2025-11-03T16:15:02.5031930Z  * [new branch]              gh/wconstab/435/base        -> origin/gh/wconstab/435/base
2025-11-03T16:15:02.5032124Z  * [new branch]              gh/wconstab/435/head        -> origin/gh/wconstab/435/head
2025-11-03T16:15:02.5032734Z  * [new branch]              gh/wconstab/435/orig        -> origin/gh/wconstab/435/orig
2025-11-03T16:15:02.5032912Z  * [new branch]              gh/wconstab/438/base        -> origin/gh/wconstab/438/base
2025-11-03T16:15:02.5033051Z  * [new branch]              gh/wconstab/438/head        -> origin/gh/wconstab/438/head
2025-11-03T16:15:02.5033201Z  * [new branch]              gh/wconstab/438/orig        -> origin/gh/wconstab/438/orig
2025-11-03T16:15:02.5033331Z  * [new branch]              gh/wconstab/444/base        -> origin/gh/wconstab/444/base
2025-11-03T16:15:02.5033471Z  * [new branch]              gh/wconstab/444/head        -> origin/gh/wconstab/444/head
2025-11-03T16:15:02.5033765Z  * [new branch]              gh/wconstab/444/orig        -> origin/gh/wconstab/444/orig
2025-11-03T16:15:02.5033905Z  * [new branch]              gh/wconstab/447/base        -> origin/gh/wconstab/447/base
2025-11-03T16:15:02.5034039Z  * [new branch]              gh/wconstab/447/head        -> origin/gh/wconstab/447/head
2025-11-03T16:15:02.5034179Z  * [new branch]              gh/wconstab/447/orig        -> origin/gh/wconstab/447/orig
2025-11-03T16:15:02.5034310Z  * [new branch]              gh/wconstab/448/base        -> origin/gh/wconstab/448/base
2025-11-03T16:15:02.5034441Z  * [new branch]              gh/wconstab/448/head        -> origin/gh/wconstab/448/head
2025-11-03T16:15:02.5034580Z  * [new branch]              gh/wconstab/448/orig        -> origin/gh/wconstab/448/orig
2025-11-03T16:15:02.5034716Z  * [new branch]              gh/weifengpy/34/base        -> origin/gh/weifengpy/34/base
2025-11-03T16:15:02.5034885Z  * [new branch]              gh/weifengpy/34/head        -> origin/gh/weifengpy/34/head
2025-11-03T16:15:02.5035024Z  * [new branch]              gh/weifengpy/34/orig        -> origin/gh/weifengpy/34/orig
2025-11-03T16:15:02.5035173Z  * [new branch]              gh/weifengpy/35/base        -> origin/gh/weifengpy/35/base
2025-11-03T16:15:02.5035327Z  * [new branch]              gh/weifengpy/35/head        -> origin/gh/weifengpy/35/head
2025-11-03T16:15:02.5035475Z  * [new branch]              gh/weifengpy/35/orig        -> origin/gh/weifengpy/35/orig
2025-11-03T16:15:02.5035627Z  * [new branch]              gh/weifengpy/36/base        -> origin/gh/weifengpy/36/base
2025-11-03T16:15:02.5035775Z  * [new branch]              gh/weifengpy/36/head        -> origin/gh/weifengpy/36/head
2025-11-03T16:15:02.5035979Z  * [new branch]              gh/weifengpy/36/orig        -> origin/gh/weifengpy/36/orig
2025-11-03T16:15:02.5036118Z  * [new branch]              gh/weifengpy/37/base        -> origin/gh/weifengpy/37/base
2025-11-03T16:15:02.5036257Z  * [new branch]              gh/weifengpy/37/head        -> origin/gh/weifengpy/37/head
2025-11-03T16:15:02.5036407Z  * [new branch]              gh/weifengpy/37/orig        -> origin/gh/weifengpy/37/orig
2025-11-03T16:15:02.5036544Z  * [new branch]              gh/weifengpy/38/base        -> origin/gh/weifengpy/38/base
2025-11-03T16:15:02.5036696Z  * [new branch]              gh/weifengpy/38/head        -> origin/gh/weifengpy/38/head
2025-11-03T16:15:02.5036832Z  * [new branch]              gh/weifengpy/38/orig        -> origin/gh/weifengpy/38/orig
2025-11-03T16:15:02.5036977Z  * [new branch]              gh/weifengpy/39/base        -> origin/gh/weifengpy/39/base
2025-11-03T16:15:02.5037113Z  * [new branch]              gh/weifengpy/39/head        -> origin/gh/weifengpy/39/head
2025-11-03T16:15:02.5037252Z  * [new branch]              gh/weifengpy/39/orig        -> origin/gh/weifengpy/39/orig
2025-11-03T16:15:02.5037865Z  * [new branch]              gh/williamwen42/250/base    -> origin/gh/williamwen42/250/base
2025-11-03T16:15:02.5039158Z  * [new branch]              gh/williamwen42/250/head    -> origin/gh/williamwen42/250/head
2025-11-03T16:15:02.5042495Z  * [new branch]              gh/williamwen42/250/orig    -> origin/gh/williamwen42/250/orig
2025-11-03T16:15:02.5042668Z  * [new branch]              gh/williamwen42/278/base    -> origin/gh/williamwen42/278/base
2025-11-03T16:15:02.5042918Z  * [new branch]              gh/williamwen42/278/head    -> origin/gh/williamwen42/278/head
2025-11-03T16:15:02.5047977Z  * [new branch]              gh/williamwen42/278/orig    -> origin/gh/williamwen42/278/orig
2025-11-03T16:15:02.5051627Z  * [new branch]              gh/williamwen42/279/base    -> origin/gh/williamwen42/279/base
2025-11-03T16:15:02.5056041Z  * [new branch]              gh/williamwen42/279/head    -> origin/gh/williamwen42/279/head
2025-11-03T16:15:02.5060745Z  * [new branch]              gh/williamwen42/279/orig    -> origin/gh/williamwen42/279/orig
2025-11-03T16:15:02.5064821Z  * [new branch]              gh/williamwen42/282/base    -> origin/gh/williamwen42/282/base
2025-11-03T16:15:02.5070654Z  * [new branch]              gh/williamwen42/282/head    -> origin/gh/williamwen42/282/head
2025-11-03T16:15:02.5072656Z  * [new branch]              gh/williamwen42/282/orig    -> origin/gh/williamwen42/282/orig
2025-11-03T16:15:02.5072841Z  * [new branch]              gh/williamwen42/287/base    -> origin/gh/williamwen42/287/base
2025-11-03T16:15:02.5072991Z  * [new branch]              gh/williamwen42/287/head    -> origin/gh/williamwen42/287/head
2025-11-03T16:15:02.5073129Z  * [new branch]              gh/williamwen42/287/orig    -> origin/gh/williamwen42/287/orig
2025-11-03T16:15:02.5073263Z  * [new branch]              gh/williamwen42/288/base    -> origin/gh/williamwen42/288/base
2025-11-03T16:15:02.5073420Z  * [new branch]              gh/williamwen42/288/head    -> origin/gh/williamwen42/288/head
2025-11-03T16:15:02.5073555Z  * [new branch]              gh/williamwen42/288/orig    -> origin/gh/williamwen42/288/orig
2025-11-03T16:15:02.5073703Z  * [new branch]              gh/williamwen42/290/base    -> origin/gh/williamwen42/290/base
2025-11-03T16:15:02.5073840Z  * [new branch]              gh/williamwen42/290/head    -> origin/gh/williamwen42/290/head
2025-11-03T16:15:02.5073986Z  * [new branch]              gh/williamwen42/290/orig    -> origin/gh/williamwen42/290/orig
2025-11-03T16:15:02.5074124Z  * [new branch]              gh/williamwen42/296/base    -> origin/gh/williamwen42/296/base
2025-11-03T16:15:02.5074266Z  * [new branch]              gh/williamwen42/296/head    -> origin/gh/williamwen42/296/head
2025-11-03T16:15:02.5074416Z  * [new branch]              gh/williamwen42/296/orig    -> origin/gh/williamwen42/296/orig
2025-11-03T16:15:02.5074751Z  * [new branch]              gh/williamwen42/297/base    -> origin/gh/williamwen42/297/base
2025-11-03T16:15:02.5074907Z  * [new branch]              gh/williamwen42/297/head    -> origin/gh/williamwen42/297/head
2025-11-03T16:15:02.5075046Z  * [new branch]              gh/williamwen42/297/orig    -> origin/gh/williamwen42/297/orig
2025-11-03T16:15:02.5075198Z  * [new branch]              gh/williamwen42/305/base    -> origin/gh/williamwen42/305/base
2025-11-03T16:15:02.5075336Z  * [new branch]              gh/williamwen42/305/head    -> origin/gh/williamwen42/305/head
2025-11-03T16:15:02.5075472Z  * [new branch]              gh/williamwen42/305/orig    -> origin/gh/williamwen42/305/orig
2025-11-03T16:15:02.5075612Z  * [new branch]              gh/williamwen42/306/base    -> origin/gh/williamwen42/306/base
2025-11-03T16:15:02.5075748Z  * [new branch]              gh/williamwen42/306/head    -> origin/gh/williamwen42/306/head
2025-11-03T16:15:02.5075921Z  * [new branch]              gh/williamwen42/306/orig    -> origin/gh/williamwen42/306/orig
2025-11-03T16:15:02.5076064Z  * [new branch]              gh/williamwen42/307/base    -> origin/gh/williamwen42/307/base
2025-11-03T16:15:02.5076205Z  * [new branch]              gh/williamwen42/307/head    -> origin/gh/williamwen42/307/head
2025-11-03T16:15:02.5076357Z  * [new branch]              gh/williamwen42/307/orig    -> origin/gh/williamwen42/307/orig
2025-11-03T16:15:02.5076499Z  * [new branch]              gh/williamwen42/308/base    -> origin/gh/williamwen42/308/base
2025-11-03T16:15:02.5076647Z  * [new branch]              gh/williamwen42/308/head    -> origin/gh/williamwen42/308/head
2025-11-03T16:15:02.5076787Z  * [new branch]              gh/williamwen42/308/orig    -> origin/gh/williamwen42/308/orig
2025-11-03T16:15:02.5076933Z  * [new branch]              gh/williamwen42/309/base    -> origin/gh/williamwen42/309/base
2025-11-03T16:15:02.5077073Z  * [new branch]              gh/williamwen42/309/head    -> origin/gh/williamwen42/309/head
2025-11-03T16:15:02.5077228Z  * [new branch]              gh/williamwen42/309/orig    -> origin/gh/williamwen42/309/orig
2025-11-03T16:15:02.5077375Z  * [new branch]              gh/williamwen42/310/base    -> origin/gh/williamwen42/310/base
2025-11-03T16:15:02.5077574Z  * [new branch]              gh/williamwen42/310/head    -> origin/gh/williamwen42/310/head
2025-11-03T16:15:02.5077720Z  * [new branch]              gh/williamwen42/310/orig    -> origin/gh/williamwen42/310/orig
2025-11-03T16:15:02.5077861Z  * [new branch]              gh/williamwen42/311/base    -> origin/gh/williamwen42/311/base
2025-11-03T16:15:02.5078010Z  * [new branch]              gh/williamwen42/311/head    -> origin/gh/williamwen42/311/head
2025-11-03T16:15:02.5078153Z  * [new branch]              gh/williamwen42/311/orig    -> origin/gh/williamwen42/311/orig
2025-11-03T16:15:02.5078428Z  * [new branch]              gh/williamwen42/312/base    -> origin/gh/williamwen42/312/base
2025-11-03T16:15:02.5086000Z  * [new branch]              gh/williamwen42/312/head    -> origin/gh/williamwen42/312/head
2025-11-03T16:15:02.5089867Z  * [new branch]              gh/williamwen42/312/orig    -> origin/gh/williamwen42/312/orig
2025-11-03T16:15:02.5091842Z  * [new branch]              gh/williamwen42/313/base    -> origin/gh/williamwen42/313/base
2025-11-03T16:15:02.5092011Z  * [new branch]              gh/williamwen42/313/head    -> origin/gh/williamwen42/313/head
2025-11-03T16:15:02.5092161Z  * [new branch]              gh/williamwen42/313/orig    -> origin/gh/williamwen42/313/orig
2025-11-03T16:15:02.5092299Z  * [new branch]              gh/williamwen42/314/base    -> origin/gh/williamwen42/314/base
2025-11-03T16:15:02.5092452Z  * [new branch]              gh/williamwen42/314/head    -> origin/gh/williamwen42/314/head
2025-11-03T16:15:02.5092586Z  * [new branch]              gh/williamwen42/314/orig    -> origin/gh/williamwen42/314/orig
2025-11-03T16:15:02.5092720Z  * [new branch]              gh/williamwen42/315/base    -> origin/gh/williamwen42/315/base
2025-11-03T16:15:02.5092985Z  * [new branch]              gh/williamwen42/315/head    -> origin/gh/williamwen42/315/head
2025-11-03T16:15:02.5093124Z  * [new branch]              gh/williamwen42/315/orig    -> origin/gh/williamwen42/315/orig
2025-11-03T16:15:02.5093268Z  * [new branch]              gh/williamwen42/316/base    -> origin/gh/williamwen42/316/base
2025-11-03T16:15:02.5093402Z  * [new branch]              gh/williamwen42/316/head    -> origin/gh/williamwen42/316/head
2025-11-03T16:15:02.5093545Z  * [new branch]              gh/williamwen42/316/orig    -> origin/gh/williamwen42/316/orig
2025-11-03T16:15:02.5093678Z  * [new branch]              gh/williamwen42/317/base    -> origin/gh/williamwen42/317/base
2025-11-03T16:15:02.5093819Z  * [new branch]              gh/williamwen42/317/head    -> origin/gh/williamwen42/317/head
2025-11-03T16:15:02.5093965Z  * [new branch]              gh/williamwen42/317/orig    -> origin/gh/williamwen42/317/orig
2025-11-03T16:15:02.5094100Z  * [new branch]              gh/williamwen42/318/base    -> origin/gh/williamwen42/318/base
2025-11-03T16:15:02.5095732Z  * [new branch]              gh/williamwen42/318/head    -> origin/gh/williamwen42/318/head
2025-11-03T16:15:02.5096382Z  * [new branch]              gh/williamwen42/318/orig    -> origin/gh/williamwen42/318/orig
2025-11-03T16:15:02.5100000Z  * [new branch]              gh/williamwen42/319/base    -> origin/gh/williamwen42/319/base
2025-11-03T16:15:02.5100163Z  * [new branch]              gh/williamwen42/319/head    -> origin/gh/williamwen42/319/head
2025-11-03T16:15:02.5100412Z  * [new branch]              gh/williamwen42/319/orig    -> origin/gh/williamwen42/319/orig
2025-11-03T16:15:02.5100569Z  * [new branch]              gh/williamwen42/320/base    -> origin/gh/williamwen42/320/base
2025-11-03T16:15:02.5100709Z  * [new branch]              gh/williamwen42/320/head    -> origin/gh/williamwen42/320/head
2025-11-03T16:15:02.5100849Z  * [new branch]              gh/williamwen42/320/orig    -> origin/gh/williamwen42/320/orig
2025-11-03T16:15:02.5101015Z  * [new branch]              gh/williamwen42/321/base    -> origin/gh/williamwen42/321/base
2025-11-03T16:15:02.5101152Z  * [new branch]              gh/williamwen42/321/head    -> origin/gh/williamwen42/321/head
2025-11-03T16:15:02.5101368Z  * [new branch]              gh/williamwen42/321/orig    -> origin/gh/williamwen42/321/orig
2025-11-03T16:15:02.5103810Z  * [new branch]              gh/williamwen42/322/base    -> origin/gh/williamwen42/322/base
2025-11-03T16:15:02.5104483Z  * [new branch]              gh/williamwen42/322/head    -> origin/gh/williamwen42/322/head
2025-11-03T16:15:02.5104693Z  * [new branch]              gh/williamwen42/322/orig    -> origin/gh/williamwen42/322/orig
2025-11-03T16:15:02.5104854Z  * [new branch]              gh/williamwen42/323/base    -> origin/gh/williamwen42/323/base
2025-11-03T16:15:02.5105015Z  * [new branch]              gh/williamwen42/323/head    -> origin/gh/williamwen42/323/head
2025-11-03T16:15:02.5107199Z  * [new branch]              gh/williamwen42/323/orig    -> origin/gh/williamwen42/323/orig
2025-11-03T16:15:02.5107368Z  * [new branch]              gh/williamwen42/324/base    -> origin/gh/williamwen42/324/base
2025-11-03T16:15:02.5107529Z  * [new branch]              gh/williamwen42/324/head    -> origin/gh/williamwen42/324/head
2025-11-03T16:15:02.5107683Z  * [new branch]              gh/williamwen42/324/orig    -> origin/gh/williamwen42/324/orig
2025-11-03T16:15:02.5110556Z  * [new branch]              gh/williamwen42/325/base    -> origin/gh/williamwen42/325/base
2025-11-03T16:15:02.5110723Z  * [new branch]              gh/williamwen42/325/head    -> origin/gh/williamwen42/325/head
2025-11-03T16:15:02.5110892Z  * [new branch]              gh/williamwen42/325/orig    -> origin/gh/williamwen42/325/orig
2025-11-03T16:15:02.5111056Z  * [new branch]              gh/williamwen42/326/base    -> origin/gh/williamwen42/326/base
2025-11-03T16:15:02.5111223Z  * [new branch]              gh/williamwen42/326/head    -> origin/gh/williamwen42/326/head
2025-11-03T16:15:02.5111935Z  * [new branch]              gh/williamwen42/326/orig    -> origin/gh/williamwen42/326/orig
2025-11-03T16:15:02.5112899Z  * [new branch]              gh/williamwen42/327/base    -> origin/gh/williamwen42/327/base
2025-11-03T16:15:02.5113292Z  * [new branch]              gh/williamwen42/327/head    -> origin/gh/williamwen42/327/head
2025-11-03T16:15:02.5114153Z  * [new branch]              gh/williamwen42/327/orig    -> origin/gh/williamwen42/327/orig
2025-11-03T16:15:02.5116302Z  * [new branch]              gh/williamwen42/328/base    -> origin/gh/williamwen42/328/base
2025-11-03T16:15:02.5116483Z  * [new branch]              gh/williamwen42/328/head    -> origin/gh/williamwen42/328/head
2025-11-03T16:15:02.5116631Z  * [new branch]              gh/williamwen42/328/orig    -> origin/gh/williamwen42/328/orig
2025-11-03T16:15:02.5120432Z  * [new branch]              gh/williamwen42/329/base    -> origin/gh/williamwen42/329/base
2025-11-03T16:15:02.5125186Z  * [new branch]              gh/williamwen42/329/head    -> origin/gh/williamwen42/329/head
2025-11-03T16:15:02.5127319Z  * [new branch]              gh/williamwen42/329/orig    -> origin/gh/williamwen42/329/orig
2025-11-03T16:15:02.5127473Z  * [new branch]              gh/xmfan/169/base           -> origin/gh/xmfan/169/base
2025-11-03T16:15:02.5127607Z  * [new branch]              gh/xmfan/169/head           -> origin/gh/xmfan/169/head
2025-11-03T16:15:02.5127732Z  * [new branch]              gh/xmfan/170/base           -> origin/gh/xmfan/170/base
2025-11-03T16:15:02.5127878Z  * [new branch]              gh/xmfan/170/head           -> origin/gh/xmfan/170/head
2025-11-03T16:15:02.5128024Z  * [new branch]              gh/xmfan/274/base           -> origin/gh/xmfan/274/base
2025-11-03T16:15:02.5128155Z  * [new branch]              gh/xmfan/274/head           -> origin/gh/xmfan/274/head
2025-11-03T16:15:02.5128279Z  * [new branch]              gh/xmfan/274/orig           -> origin/gh/xmfan/274/orig
2025-11-03T16:15:02.5128415Z  * [new branch]              gh/xmfan/277/base           -> origin/gh/xmfan/277/base
2025-11-03T16:15:02.5128540Z  * [new branch]              gh/xmfan/277/head           -> origin/gh/xmfan/277/head
2025-11-03T16:15:02.5128669Z  * [new branch]              gh/xmfan/277/orig           -> origin/gh/xmfan/277/orig
2025-11-03T16:15:02.5134189Z  * [new branch]              gh/xmfan/289/base           -> origin/gh/xmfan/289/base
2025-11-03T16:15:02.5135858Z  * [new branch]              gh/xmfan/289/head           -> origin/gh/xmfan/289/head
2025-11-03T16:15:02.5136130Z  * [new branch]              gh/xmfan/289/orig           -> origin/gh/xmfan/289/orig
2025-11-03T16:15:02.5142062Z  * [new branch]              gh/xmfan/291/base           -> origin/gh/xmfan/291/base
2025-11-03T16:15:02.5147053Z  * [new branch]              gh/xmfan/291/head           -> origin/gh/xmfan/291/head
2025-11-03T16:15:02.5149252Z  * [new branch]              gh/xmfan/291/orig           -> origin/gh/xmfan/291/orig
2025-11-03T16:15:02.5149563Z  * [new branch]              gh/xmfan/292/base           -> origin/gh/xmfan/292/base
2025-11-03T16:15:02.5153073Z  * [new branch]              gh/xmfan/292/head           -> origin/gh/xmfan/292/head
2025-11-03T16:15:02.5153396Z  * [new branch]              gh/xmfan/292/orig           -> origin/gh/xmfan/292/orig
2025-11-03T16:15:02.5153604Z  * [new branch]              gh/xmfan/295/base           -> origin/gh/xmfan/295/base
2025-11-03T16:15:02.5153858Z  * [new branch]              gh/xmfan/295/head           -> origin/gh/xmfan/295/head
2025-11-03T16:15:02.5154091Z  * [new branch]              gh/xmfan/295/orig           -> origin/gh/xmfan/295/orig
2025-11-03T16:15:02.5154310Z  * [new branch]              gh/xmfan/296/base           -> origin/gh/xmfan/296/base
2025-11-03T16:15:02.5154493Z  * [new branch]              gh/xmfan/296/head           -> origin/gh/xmfan/296/head
2025-11-03T16:15:02.5154658Z  * [new branch]              gh/xmfan/296/orig           -> origin/gh/xmfan/296/orig
2025-11-03T16:15:02.5154981Z  * [new branch]              gh/xmfan/297/base           -> origin/gh/xmfan/297/base
2025-11-03T16:15:02.5155139Z  * [new branch]              gh/xmfan/297/head           -> origin/gh/xmfan/297/head
2025-11-03T16:15:02.5155296Z  * [new branch]              gh/xmfan/297/orig           -> origin/gh/xmfan/297/orig
2025-11-03T16:15:02.5155419Z  * [new branch]              gh/xmfan/298/base           -> origin/gh/xmfan/298/base
2025-11-03T16:15:02.5155571Z  * [new branch]              gh/xmfan/298/head           -> origin/gh/xmfan/298/head
2025-11-03T16:15:02.5155716Z  * [new branch]              gh/xmfan/298/orig           -> origin/gh/xmfan/298/orig
2025-11-03T16:15:02.5155862Z  * [new branch]              gh/xmfan/299/base           -> origin/gh/xmfan/299/base
2025-11-03T16:15:02.5156004Z  * [new branch]              gh/xmfan/299/head           -> origin/gh/xmfan/299/head
2025-11-03T16:15:02.5156142Z  * [new branch]              gh/xmfan/299/orig           -> origin/gh/xmfan/299/orig
2025-11-03T16:15:02.5156269Z  * [new branch]              gh/xmfan/300/base           -> origin/gh/xmfan/300/base
2025-11-03T16:15:02.5156385Z  * [new branch]              gh/xmfan/300/head           -> origin/gh/xmfan/300/head
2025-11-03T16:15:02.5156522Z  * [new branch]              gh/xmfan/300/orig           -> origin/gh/xmfan/300/orig
2025-11-03T16:15:02.5156642Z  * [new branch]              gh/xmfan/301/base           -> origin/gh/xmfan/301/base
2025-11-03T16:15:02.5156770Z  * [new branch]              gh/xmfan/301/head           -> origin/gh/xmfan/301/head
2025-11-03T16:15:02.5156892Z  * [new branch]              gh/xmfan/301/orig           -> origin/gh/xmfan/301/orig
2025-11-03T16:15:02.5157020Z  * [new branch]              gh/xmfan/302/base           -> origin/gh/xmfan/302/base
2025-11-03T16:15:02.5157141Z  * [new branch]              gh/xmfan/302/head           -> origin/gh/xmfan/302/head
2025-11-03T16:15:02.5157264Z  * [new branch]              gh/xmfan/302/orig           -> origin/gh/xmfan/302/orig
2025-11-03T16:15:02.5157393Z  * [new branch]              gh/xmfan/303/base           -> origin/gh/xmfan/303/base
2025-11-03T16:15:02.5157509Z  * [new branch]              gh/xmfan/303/head           -> origin/gh/xmfan/303/head
2025-11-03T16:15:02.5157639Z  * [new branch]              gh/xmfan/303/orig           -> origin/gh/xmfan/303/orig
2025-11-03T16:15:02.5157928Z  * [new branch]              gh/xmfan/304/base           -> origin/gh/xmfan/304/base
2025-11-03T16:15:02.5158136Z  * [new branch]              gh/xmfan/304/head           -> origin/gh/xmfan/304/head
2025-11-03T16:15:02.5158434Z  * [new branch]              gh/xmfan/304/orig           -> origin/gh/xmfan/304/orig
2025-11-03T16:15:02.5159944Z  * [new branch]              gh/xmfan/305/base           -> origin/gh/xmfan/305/base
2025-11-03T16:15:02.5160246Z  * [new branch]              gh/xmfan/305/head           -> origin/gh/xmfan/305/head
2025-11-03T16:15:02.5160613Z  * [new branch]              gh/xmfan/305/orig           -> origin/gh/xmfan/305/orig
2025-11-03T16:15:02.5163572Z  * [new branch]              gh/xmfan/306/base           -> origin/gh/xmfan/306/base
2025-11-03T16:15:02.5163897Z  * [new branch]              gh/xmfan/306/head           -> origin/gh/xmfan/306/head
2025-11-03T16:15:02.5164068Z  * [new branch]              gh/xmfan/306/orig           -> origin/gh/xmfan/306/orig
2025-11-03T16:15:02.5164217Z  * [new branch]              gh/xmfan/307/base           -> origin/gh/xmfan/307/base
2025-11-03T16:15:02.5165209Z  * [new branch]              gh/xmfan/307/head           -> origin/gh/xmfan/307/head
2025-11-03T16:15:02.5165362Z  * [new branch]              gh/xmfan/307/orig           -> origin/gh/xmfan/307/orig
2025-11-03T16:15:02.5167873Z  * [new branch]              gh/xmfan/308/base           -> origin/gh/xmfan/308/base
2025-11-03T16:15:02.5168183Z  * [new branch]              gh/xmfan/308/head           -> origin/gh/xmfan/308/head
2025-11-03T16:15:02.5168582Z  * [new branch]              gh/xmfan/308/orig           -> origin/gh/xmfan/308/orig
2025-11-03T16:15:02.5170305Z  * [new branch]              gh/xmfan/309/base           -> origin/gh/xmfan/309/base
2025-11-03T16:15:02.5170650Z  * [new branch]              gh/xmfan/309/head           -> origin/gh/xmfan/309/head
2025-11-03T16:15:02.5170796Z  * [new branch]              gh/xmfan/309/orig           -> origin/gh/xmfan/309/orig
2025-11-03T16:15:02.5172410Z  * [new branch]              gh/xuanzhang816/22/base     -> origin/gh/xuanzhang816/22/base
2025-11-03T16:15:02.5172633Z  * [new branch]              gh/xuanzhang816/22/head     -> origin/gh/xuanzhang816/22/head
2025-11-03T16:15:02.5174738Z  * [new branch]              gh/xuanzhang816/22/orig     -> origin/gh/xuanzhang816/22/orig
2025-11-03T16:15:02.5175053Z  * [new branch]              gh/xuanzhang816/23/base     -> origin/gh/xuanzhang816/23/base
2025-11-03T16:15:02.5179795Z  * [new branch]              gh/xuanzhang816/23/head     -> origin/gh/xuanzhang816/23/head
2025-11-03T16:15:02.5180106Z  * [new branch]              gh/xuanzhang816/23/orig     -> origin/gh/xuanzhang816/23/orig
2025-11-03T16:15:02.5180295Z  * [new branch]              gh/xuanzhang816/27/base     -> origin/gh/xuanzhang816/27/base
2025-11-03T16:15:02.5180430Z  * [new branch]              gh/xuanzhang816/27/head     -> origin/gh/xuanzhang816/27/head
2025-11-03T16:15:02.5180574Z  * [new branch]              gh/xuanzhang816/27/orig     -> origin/gh/xuanzhang816/27/orig
2025-11-03T16:15:02.5180718Z  * [new branch]              gh/xuanzhang816/32/base     -> origin/gh/xuanzhang816/32/base
2025-11-03T16:15:02.5180849Z  * [new branch]              gh/xuanzhang816/32/head     -> origin/gh/xuanzhang816/32/head
2025-11-03T16:15:02.5180989Z  * [new branch]              gh/xuanzhang816/32/orig     -> origin/gh/xuanzhang816/32/orig
2025-11-03T16:15:02.5181244Z  * [new branch]              gh/xuanzhang816/33/base     -> origin/gh/xuanzhang816/33/base
2025-11-03T16:15:02.5181723Z  * [new branch]              gh/xuanzhang816/33/head     -> origin/gh/xuanzhang816/33/head
2025-11-03T16:15:02.5182057Z  * [new branch]              gh/xuanzhang816/33/orig     -> origin/gh/xuanzhang816/33/orig
2025-11-03T16:15:02.5185675Z  * [new branch]              gh/yanbing-j/11/base        -> origin/gh/yanbing-j/11/base
2025-11-03T16:15:02.5185991Z  * [new branch]              gh/yanbing-j/11/head        -> origin/gh/yanbing-j/11/head
2025-11-03T16:15:02.5186458Z  * [new branch]              gh/yanbing-j/11/orig        -> origin/gh/yanbing-j/11/orig
2025-11-03T16:15:02.5186614Z  * [new branch]              gh/yanbing-j/12/base        -> origin/gh/yanbing-j/12/base
2025-11-03T16:15:02.5186823Z  * [new branch]              gh/yanbing-j/12/head        -> origin/gh/yanbing-j/12/head
2025-11-03T16:15:02.5187491Z  * [new branch]              gh/yanbing-j/12/orig        -> origin/gh/yanbing-j/12/orig
2025-11-03T16:15:02.5192779Z  * [new branch]              gh/yanbing-j/13/base        -> origin/gh/yanbing-j/13/base
2025-11-03T16:15:02.5193097Z  * [new branch]              gh/yanbing-j/13/head        -> origin/gh/yanbing-j/13/head
2025-11-03T16:15:02.5193294Z  * [new branch]              gh/yanbing-j/13/orig        -> origin/gh/yanbing-j/13/orig
2025-11-03T16:15:02.5193496Z  * [new branch]              gh/yanbing-j/14/base        -> origin/gh/yanbing-j/14/base
2025-11-03T16:15:02.5193712Z  * [new branch]              gh/yanbing-j/14/head        -> origin/gh/yanbing-j/14/head
2025-11-03T16:15:02.5193884Z  * [new branch]              gh/yanbing-j/14/orig        -> origin/gh/yanbing-j/14/orig
2025-11-03T16:15:02.5194352Z  * [new branch]              gh/yanbing-j/15/base        -> origin/gh/yanbing-j/15/base
2025-11-03T16:15:02.5195029Z  * [new branch]              gh/yanbing-j/15/head        -> origin/gh/yanbing-j/15/head
2025-11-03T16:15:02.5195381Z  * [new branch]              gh/yanbing-j/15/orig        -> origin/gh/yanbing-j/15/orig
2025-11-03T16:15:02.5195528Z  * [new branch]              gh/yanbing-j/18/base        -> origin/gh/yanbing-j/18/base
2025-11-03T16:15:02.5195660Z  * [new branch]              gh/yanbing-j/18/head        -> origin/gh/yanbing-j/18/head
2025-11-03T16:15:02.5195930Z  * [new branch]              gh/yanbing-j/18/orig        -> origin/gh/yanbing-j/18/orig
2025-11-03T16:15:02.5201946Z  * [new branch]              gh/yanbing-j/19/base        -> origin/gh/yanbing-j/19/base
2025-11-03T16:15:02.5202140Z  * [new branch]              gh/yanbing-j/19/head        -> origin/gh/yanbing-j/19/head
2025-11-03T16:15:02.5202277Z  * [new branch]              gh/yanbing-j/19/orig        -> origin/gh/yanbing-j/19/orig
2025-11-03T16:15:02.5202404Z  * [new branch]              gh/yanbing-j/20/base        -> origin/gh/yanbing-j/20/base
2025-11-03T16:15:02.5202540Z  * [new branch]              gh/yanbing-j/20/head        -> origin/gh/yanbing-j/20/head
2025-11-03T16:15:02.5202668Z  * [new branch]              gh/yanbing-j/20/orig        -> origin/gh/yanbing-j/20/orig
2025-11-03T16:15:02.5202801Z  * [new branch]              gh/yanbing-j/21/base        -> origin/gh/yanbing-j/21/base
2025-11-03T16:15:02.5203006Z  * [new branch]              gh/yanbing-j/21/head        -> origin/gh/yanbing-j/21/head
2025-11-03T16:15:02.5203140Z  * [new branch]              gh/yanbing-j/22/base        -> origin/gh/yanbing-j/22/base
2025-11-03T16:15:02.5203266Z  * [new branch]              gh/yanbing-j/22/head        -> origin/gh/yanbing-j/22/head
2025-11-03T16:15:02.5203396Z  * [new branch]              gh/yanbing-j/22/orig        -> origin/gh/yanbing-j/22/orig
2025-11-03T16:15:02.5203533Z  * [new branch]              gh/yanbing-j/23/base        -> origin/gh/yanbing-j/23/base
2025-11-03T16:15:02.5203665Z  * [new branch]              gh/yanbing-j/23/head        -> origin/gh/yanbing-j/23/head
2025-11-03T16:15:02.5208998Z  * [new branch]              gh/yanbing-j/23/orig        -> origin/gh/yanbing-j/23/orig
2025-11-03T16:15:02.5209317Z  * [new branch]              gh/yanbing-j/24/base        -> origin/gh/yanbing-j/24/base
2025-11-03T16:15:02.5209498Z  * [new branch]              gh/yanbing-j/24/head        -> origin/gh/yanbing-j/24/head
2025-11-03T16:15:02.5209677Z  * [new branch]              gh/yanbing-j/24/orig        -> origin/gh/yanbing-j/24/orig
2025-11-03T16:15:02.5209846Z  * [new branch]              gh/yanbing-j/25/base        -> origin/gh/yanbing-j/25/base
2025-11-03T16:15:02.5210030Z  * [new branch]              gh/yanbing-j/25/head        -> origin/gh/yanbing-j/25/head
2025-11-03T16:15:02.5210759Z  * [new branch]              gh/yanbing-j/25/orig        -> origin/gh/yanbing-j/25/orig
2025-11-03T16:15:02.5210921Z  * [new branch]              gh/yanbing-j/26/base        -> origin/gh/yanbing-j/26/base
2025-11-03T16:15:02.5211054Z  * [new branch]              gh/yanbing-j/26/head        -> origin/gh/yanbing-j/26/head
2025-11-03T16:15:02.5211194Z  * [new branch]              gh/yanbing-j/26/orig        -> origin/gh/yanbing-j/26/orig
2025-11-03T16:15:02.5217058Z  * [new branch]              gh/yangw-dev/12/base        -> origin/gh/yangw-dev/12/base
2025-11-03T16:15:02.5217399Z  * [new branch]              gh/yangw-dev/12/head        -> origin/gh/yangw-dev/12/head
2025-11-03T16:15:02.5217646Z  * [new branch]              gh/yangw-dev/12/orig        -> origin/gh/yangw-dev/12/orig
2025-11-03T16:15:02.5217810Z  * [new branch]              gh/yangw-dev/13/base        -> origin/gh/yangw-dev/13/base
2025-11-03T16:15:02.5218034Z  * [new branch]              gh/yangw-dev/13/head        -> origin/gh/yangw-dev/13/head
2025-11-03T16:15:02.5218643Z  * [new branch]              gh/yangw-dev/13/orig        -> origin/gh/yangw-dev/13/orig
2025-11-03T16:15:02.5218817Z  * [new branch]              gh/yangw-dev/14/base        -> origin/gh/yangw-dev/14/base
2025-11-03T16:15:02.5218952Z  * [new branch]              gh/yangw-dev/14/head        -> origin/gh/yangw-dev/14/head
2025-11-03T16:15:02.5219089Z  * [new branch]              gh/yangw-dev/14/orig        -> origin/gh/yangw-dev/14/orig
2025-11-03T16:15:02.5219218Z  * [new branch]              gh/yangw-dev/15/base        -> origin/gh/yangw-dev/15/base
2025-11-03T16:15:02.5219346Z  * [new branch]              gh/yangw-dev/15/head        -> origin/gh/yangw-dev/15/head
2025-11-03T16:15:02.5219617Z  * [new branch]              gh/yangw-dev/15/orig        -> origin/gh/yangw-dev/15/orig
2025-11-03T16:15:02.5225121Z  * [new branch]              gh/yangw-dev/19/base        -> origin/gh/yangw-dev/19/base
2025-11-03T16:15:02.5225457Z  * [new branch]              gh/yangw-dev/19/head        -> origin/gh/yangw-dev/19/head
2025-11-03T16:15:02.5225624Z  * [new branch]              gh/yangw-dev/19/orig        -> origin/gh/yangw-dev/19/orig
2025-11-03T16:15:02.5225817Z  * [new branch]              gh/yangw-dev/26/base        -> origin/gh/yangw-dev/26/base
2025-11-03T16:15:02.5225987Z  * [new branch]              gh/yangw-dev/26/head        -> origin/gh/yangw-dev/26/head
2025-11-03T16:15:02.5226131Z  * [new branch]              gh/yangw-dev/26/orig        -> origin/gh/yangw-dev/26/orig
2025-11-03T16:15:02.5226716Z  * [new branch]              gh/yangw-dev/27/base        -> origin/gh/yangw-dev/27/base
2025-11-03T16:15:02.5226905Z  * [new branch]              gh/yangw-dev/27/head        -> origin/gh/yangw-dev/27/head
2025-11-03T16:15:02.5227041Z  * [new branch]              gh/yangw-dev/27/orig        -> origin/gh/yangw-dev/27/orig
2025-11-03T16:15:02.5227181Z  * [new branch]              gh/ydwu4/283/base           -> origin/gh/ydwu4/283/base
2025-11-03T16:15:02.5227307Z  * [new branch]              gh/ydwu4/283/head           -> origin/gh/ydwu4/283/head
2025-11-03T16:15:02.5227427Z  * [new branch]              gh/ydwu4/283/orig           -> origin/gh/ydwu4/283/orig
2025-11-03T16:15:02.5230308Z  * [new branch]              gh/ydwu4/292/base           -> origin/gh/ydwu4/292/base
2025-11-03T16:15:02.5230446Z  * [new branch]              gh/ydwu4/292/head           -> origin/gh/ydwu4/292/head
2025-11-03T16:15:02.5230571Z  * [new branch]              gh/ydwu4/292/orig           -> origin/gh/ydwu4/292/orig
2025-11-03T16:15:02.5230826Z  * [new branch]              gh/ydwu4/294/base           -> origin/gh/ydwu4/294/base
2025-11-03T16:15:02.5230971Z  * [new branch]              gh/ydwu4/294/head           -> origin/gh/ydwu4/294/head
2025-11-03T16:15:02.5231160Z  * [new branch]              gh/ydwu4/294/orig           -> origin/gh/ydwu4/294/orig
2025-11-03T16:15:02.5231296Z  * [new branch]              gh/ydwu4/295/base           -> origin/gh/ydwu4/295/base
2025-11-03T16:15:02.5234705Z  * [new branch]              gh/ydwu4/295/head           -> origin/gh/ydwu4/295/head
2025-11-03T16:15:02.5235277Z  * [new branch]              gh/ydwu4/295/orig           -> origin/gh/ydwu4/295/orig
2025-11-03T16:15:02.5235429Z  * [new branch]              gh/ydwu4/296/base           -> origin/gh/ydwu4/296/base
2025-11-03T16:15:02.5235548Z  * [new branch]              gh/ydwu4/296/head           -> origin/gh/ydwu4/296/head
2025-11-03T16:15:02.5235672Z  * [new branch]              gh/ydwu4/296/orig           -> origin/gh/ydwu4/296/orig
2025-11-03T16:15:02.5235789Z  * [new branch]              gh/ydwu4/306/base           -> origin/gh/ydwu4/306/base
2025-11-03T16:15:02.5238697Z  * [new branch]              gh/ydwu4/306/head           -> origin/gh/ydwu4/306/head
2025-11-03T16:15:02.5239020Z  * [new branch]              gh/ydwu4/306/orig           -> origin/gh/ydwu4/306/orig
2025-11-03T16:15:02.5239186Z  * [new branch]              gh/ydwu4/312/base           -> origin/gh/ydwu4/312/base
2025-11-03T16:15:02.5239420Z  * [new branch]              gh/ydwu4/312/head           -> origin/gh/ydwu4/312/head
2025-11-03T16:15:02.5244065Z  * [new branch]              gh/ydwu4/312/orig           -> origin/gh/ydwu4/312/orig
2025-11-03T16:15:02.5244370Z  * [new branch]              gh/ydwu4/322/base           -> origin/gh/ydwu4/322/base
2025-11-03T16:15:02.5244531Z  * [new branch]              gh/ydwu4/322/head           -> origin/gh/ydwu4/322/head
2025-11-03T16:15:02.5244671Z  * [new branch]              gh/ydwu4/322/orig           -> origin/gh/ydwu4/322/orig
2025-11-03T16:15:02.5244788Z  * [new branch]              gh/ydwu4/326/base           -> origin/gh/ydwu4/326/base
2025-11-03T16:15:02.5245169Z  * [new branch]              gh/ydwu4/326/head           -> origin/gh/ydwu4/326/head
2025-11-03T16:15:02.5249183Z  * [new branch]              gh/ydwu4/326/orig           -> origin/gh/ydwu4/326/orig
2025-11-03T16:15:02.5249487Z  * [new branch]              gh/ydwu4/327/base           -> origin/gh/ydwu4/327/base
2025-11-03T16:15:02.5249701Z  * [new branch]              gh/ydwu4/327/head           -> origin/gh/ydwu4/327/head
2025-11-03T16:15:02.5249896Z  * [new branch]              gh/ydwu4/327/orig           -> origin/gh/ydwu4/327/orig
2025-11-03T16:15:02.5250048Z  * [new branch]              gh/ydwu4/328/base           -> origin/gh/ydwu4/328/base
2025-11-03T16:15:02.5250163Z  * [new branch]              gh/ydwu4/328/head           -> origin/gh/ydwu4/328/head
2025-11-03T16:15:02.5250420Z  * [new branch]              gh/ydwu4/328/orig           -> origin/gh/ydwu4/328/orig
2025-11-03T16:15:02.5251058Z  * [new branch]              gh/ydwu4/329/base           -> origin/gh/ydwu4/329/base
2025-11-03T16:15:02.5251396Z  * [new branch]              gh/ydwu4/329/head           -> origin/gh/ydwu4/329/head
2025-11-03T16:15:02.5251620Z  * [new branch]              gh/ydwu4/329/orig           -> origin/gh/ydwu4/329/orig
2025-11-03T16:15:02.5251774Z  * [new branch]              gh/ydwu4/330/base           -> origin/gh/ydwu4/330/base
2025-11-03T16:15:02.5252034Z  * [new branch]              gh/ydwu4/330/head           -> origin/gh/ydwu4/330/head
2025-11-03T16:15:02.5256094Z  * [new branch]              gh/ydwu4/330/orig           -> origin/gh/ydwu4/330/orig
2025-11-03T16:15:02.5256397Z  * [new branch]              gh/ydwu4/331/base           -> origin/gh/ydwu4/331/base
2025-11-03T16:15:02.5256541Z  * [new branch]              gh/ydwu4/331/head           -> origin/gh/ydwu4/331/head
2025-11-03T16:15:02.5256669Z  * [new branch]              gh/ydwu4/331/orig           -> origin/gh/ydwu4/331/orig
2025-11-03T16:15:02.5256786Z  * [new branch]              gh/ydwu4/332/base           -> origin/gh/ydwu4/332/base
2025-11-03T16:15:02.5257073Z  * [new branch]              gh/ydwu4/332/head           -> origin/gh/ydwu4/332/head
2025-11-03T16:15:02.5261215Z  * [new branch]              gh/ydwu4/332/orig           -> origin/gh/ydwu4/332/orig
2025-11-03T16:15:02.5263278Z  * [new branch]              gh/ydwu4/333/base           -> origin/gh/ydwu4/333/base
2025-11-03T16:15:02.5263605Z  * [new branch]              gh/ydwu4/333/head           -> origin/gh/ydwu4/333/head
2025-11-03T16:15:02.5263732Z  * [new branch]              gh/ydwu4/333/orig           -> origin/gh/ydwu4/333/orig
2025-11-03T16:15:02.5263851Z  * [new branch]              gh/ydwu4/334/base           -> origin/gh/ydwu4/334/base
2025-11-03T16:15:02.5263969Z  * [new branch]              gh/ydwu4/334/head           -> origin/gh/ydwu4/334/head
2025-11-03T16:15:02.5264092Z  * [new branch]              gh/ydwu4/334/orig           -> origin/gh/ydwu4/334/orig
2025-11-03T16:15:02.5264206Z  * [new branch]              gh/ydwu4/335/base           -> origin/gh/ydwu4/335/base
2025-11-03T16:15:02.5264333Z  * [new branch]              gh/ydwu4/335/head           -> origin/gh/ydwu4/335/head
2025-11-03T16:15:02.5264445Z  * [new branch]              gh/ydwu4/335/orig           -> origin/gh/ydwu4/335/orig
2025-11-03T16:15:02.5264567Z  * [new branch]              gh/ydwu4/336/base           -> origin/gh/ydwu4/336/base
2025-11-03T16:15:02.5264685Z  * [new branch]              gh/ydwu4/336/head           -> origin/gh/ydwu4/336/head
2025-11-03T16:15:02.5264796Z  * [new branch]              gh/ydwu4/336/orig           -> origin/gh/ydwu4/336/orig
2025-11-03T16:15:02.5264917Z  * [new branch]              gh/ydwu4/337/base           -> origin/gh/ydwu4/337/base
2025-11-03T16:15:02.5268683Z  * [new branch]              gh/ydwu4/337/head           -> origin/gh/ydwu4/337/head
2025-11-03T16:15:02.5272944Z  * [new branch]              gh/ydwu4/337/orig           -> origin/gh/ydwu4/337/orig
2025-11-03T16:15:02.5273109Z  * [new branch]              gh/ydwu4/338/base           -> origin/gh/ydwu4/338/base
2025-11-03T16:15:02.5273443Z  * [new branch]              gh/ydwu4/338/head           -> origin/gh/ydwu4/338/head
2025-11-03T16:15:02.5273577Z  * [new branch]              gh/ydwu4/338/orig           -> origin/gh/ydwu4/338/orig
2025-11-03T16:15:02.5273701Z  * [new branch]              gh/ydwu4/339/base           -> origin/gh/ydwu4/339/base
2025-11-03T16:15:02.5273837Z  * [new branch]              gh/ydwu4/339/head           -> origin/gh/ydwu4/339/head
2025-11-03T16:15:02.5273956Z  * [new branch]              gh/ydwu4/339/orig           -> origin/gh/ydwu4/339/orig
2025-11-03T16:15:02.5274082Z  * [new branch]              gh/ydwu4/340/base           -> origin/gh/ydwu4/340/base
2025-11-03T16:15:02.5274201Z  * [new branch]              gh/ydwu4/340/head           -> origin/gh/ydwu4/340/head
2025-11-03T16:15:02.5274320Z  * [new branch]              gh/ydwu4/340/orig           -> origin/gh/ydwu4/340/orig
2025-11-03T16:15:02.5274451Z  * [new branch]              gh/yf225/133/base           -> origin/gh/yf225/133/base
2025-11-03T16:15:02.5274575Z  * [new branch]              gh/yf225/133/head           -> origin/gh/yf225/133/head
2025-11-03T16:15:02.5274874Z  * [new branch]              gh/yf225/93/base            -> origin/gh/yf225/93/base
2025-11-03T16:15:02.5275006Z  * [new branch]              gh/yf225/93/head            -> origin/gh/yf225/93/head
2025-11-03T16:15:02.5276052Z  * [new branch]              gh/yifuwang/152/base        -> origin/gh/yifuwang/152/base
2025-11-03T16:15:02.5276647Z  * [new branch]              gh/yifuwang/152/head        -> origin/gh/yifuwang/152/head
2025-11-03T16:15:02.5277573Z  * [new branch]              gh/yifuwang/152/orig        -> origin/gh/yifuwang/152/orig
2025-11-03T16:15:02.5281420Z  * [new branch]              gh/yifuwang/195/base        -> origin/gh/yifuwang/195/base
2025-11-03T16:15:02.5281739Z  * [new branch]              gh/yifuwang/195/head        -> origin/gh/yifuwang/195/head
2025-11-03T16:15:02.5281908Z  * [new branch]              gh/yifuwang/195/orig        -> origin/gh/yifuwang/195/orig
2025-11-03T16:15:02.5282090Z  * [new branch]              gh/yiming0416/1/base        -> origin/gh/yiming0416/1/base
2025-11-03T16:15:02.5282291Z  * [new branch]              gh/yiming0416/1/head        -> origin/gh/yiming0416/1/head
2025-11-03T16:15:02.5282778Z  * [new branch]              gh/yiming0416/2/base        -> origin/gh/yiming0416/2/base
2025-11-03T16:15:02.5283359Z  * [new branch]              gh/yiming0416/2/head        -> origin/gh/yiming0416/2/head
2025-11-03T16:15:02.5285304Z  * [new branch]              gh/yushangdi/1/base         -> origin/gh/yushangdi/1/base
2025-11-03T16:15:02.5291119Z  * [new branch]              gh/yushangdi/1/head         -> origin/gh/yushangdi/1/head
2025-11-03T16:15:02.5295716Z  * [new branch]              gh/yushangdi/2/base         -> origin/gh/yushangdi/2/base
2025-11-03T16:15:02.5296023Z  * [new branch]              gh/yushangdi/2/head         -> origin/gh/yushangdi/2/head
2025-11-03T16:15:02.5296192Z  * [new branch]              gh/yushangdi/3/base         -> origin/gh/yushangdi/3/base
2025-11-03T16:15:02.5296365Z  * [new branch]              gh/yushangdi/3/head         -> origin/gh/yushangdi/3/head
2025-11-03T16:15:02.5296496Z  * [new branch]              gh/yushangdi/3/orig         -> origin/gh/yushangdi/3/orig
2025-11-03T16:15:02.5296638Z  * [new branch]              gh/yushangdi/4/base         -> origin/gh/yushangdi/4/base
2025-11-03T16:15:02.5296768Z  * [new branch]              gh/yushangdi/4/head         -> origin/gh/yushangdi/4/head
2025-11-03T16:15:02.5296902Z  * [new branch]              gh/yushangdi/4/orig         -> origin/gh/yushangdi/4/orig
2025-11-03T16:15:02.5297029Z  * [new branch]              gh/yushangdi/5/base         -> origin/gh/yushangdi/5/base
2025-11-03T16:15:02.5297163Z  * [new branch]              gh/yushangdi/5/head         -> origin/gh/yushangdi/5/head
2025-11-03T16:15:02.5297289Z  * [new branch]              gh/yushangdi/5/orig         -> origin/gh/yushangdi/5/orig
2025-11-03T16:15:02.5297416Z  * [new branch]              gh/yushangdi/6/base         -> origin/gh/yushangdi/6/base
2025-11-03T16:15:02.5297854Z  * [new branch]              gh/yushangdi/6/head         -> origin/gh/yushangdi/6/head
2025-11-03T16:15:02.5297997Z  * [new branch]              gh/yushangdi/6/orig         -> origin/gh/yushangdi/6/orig
2025-11-03T16:15:02.5298134Z  * [new branch]              gh/yushangdi/7/base         -> origin/gh/yushangdi/7/base
2025-11-03T16:15:02.5298253Z  * [new branch]              gh/yushangdi/7/head         -> origin/gh/yushangdi/7/head
2025-11-03T16:15:02.5298380Z  * [new branch]              gh/yushangdi/7/orig         -> origin/gh/yushangdi/7/orig
2025-11-03T16:15:02.5303042Z  * [new branch]              gh/yushangdi/8/base         -> origin/gh/yushangdi/8/base
2025-11-03T16:15:02.5303340Z  * [new branch]              gh/yushangdi/8/head         -> origin/gh/yushangdi/8/head
2025-11-03T16:15:02.5303497Z  * [new branch]              gh/yushangdi/8/orig         -> origin/gh/yushangdi/8/orig
2025-11-03T16:15:02.5303735Z  * [new branch]              gh/zhxchen17/34/base        -> origin/gh/zhxchen17/34/base
2025-11-03T16:15:02.5303895Z  * [new branch]              gh/zhxchen17/34/head        -> origin/gh/zhxchen17/34/head
2025-11-03T16:15:02.5304225Z  * [new branch]              gh/zhxchen17/35/base        -> origin/gh/zhxchen17/35/base
2025-11-03T16:15:02.5304446Z  * [new branch]              gh/zhxchen17/35/head        -> origin/gh/zhxchen17/35/head
2025-11-03T16:15:02.5304577Z  * [new branch]              gh/zhxchen17/36/base        -> origin/gh/zhxchen17/36/base
2025-11-03T16:15:02.5304698Z  * [new branch]              gh/zhxchen17/36/head        -> origin/gh/zhxchen17/36/head
2025-11-03T16:15:02.5304830Z  * [new branch]              gh/zhxchen17/36/orig        -> origin/gh/zhxchen17/36/orig
2025-11-03T16:15:02.5309901Z  * [new branch]              gh/zhxchen17/37/base        -> origin/gh/zhxchen17/37/base
2025-11-03T16:15:02.5310210Z  * [new branch]              gh/zhxchen17/37/head        -> origin/gh/zhxchen17/37/head
2025-11-03T16:15:02.5310383Z  * [new branch]              gh/zhxchen17/37/orig        -> origin/gh/zhxchen17/37/orig
2025-11-03T16:15:02.5310512Z  * [new branch]              gh/zhxchen17/38/base        -> origin/gh/zhxchen17/38/base
2025-11-03T16:15:02.5310769Z  * [new branch]              gh/zhxchen17/38/head        -> origin/gh/zhxchen17/38/head
2025-11-03T16:15:02.5311163Z  * [new branch]              gh/zhxchen17/38/orig        -> origin/gh/zhxchen17/38/orig
2025-11-03T16:15:02.5311766Z  * [new branch]              gh/zklaus/18/base           -> origin/gh/zklaus/18/base
2025-11-03T16:15:02.5311920Z  * [new branch]              gh/zklaus/18/head           -> origin/gh/zklaus/18/head
2025-11-03T16:15:02.5312040Z  * [new branch]              gh/zklaus/18/orig           -> origin/gh/zklaus/18/orig
2025-11-03T16:15:02.5312172Z  * [new branch]              gh/zou3519/1197/base        -> origin/gh/zou3519/1197/base
2025-11-03T16:15:02.5312396Z  * [new branch]              gh/zou3519/1197/head        -> origin/gh/zou3519/1197/head
2025-11-03T16:15:02.5313964Z  * [new branch]              gh/zou3519/1197/orig        -> origin/gh/zou3519/1197/orig
2025-11-03T16:15:02.5314131Z  * [new branch]              gh/zou3519/1198/base        -> origin/gh/zou3519/1198/base
2025-11-03T16:15:02.5314756Z  * [new branch]              gh/zou3519/1198/head        -> origin/gh/zou3519/1198/head
2025-11-03T16:15:02.5315338Z  * [new branch]              gh/zou3519/1198/orig        -> origin/gh/zou3519/1198/orig
2025-11-03T16:15:02.5317290Z  * [new branch]              gh/zpcore/1/base            -> origin/gh/zpcore/1/base
2025-11-03T16:15:02.5317448Z  * [new branch]              gh/zpcore/1/head            -> origin/gh/zpcore/1/head
2025-11-03T16:15:02.5318293Z  * [new branch]              gh/zpcore/11/base           -> origin/gh/zpcore/11/base
2025-11-03T16:15:02.5318828Z  * [new branch]              gh/zpcore/11/head           -> origin/gh/zpcore/11/head
2025-11-03T16:15:02.5319777Z  * [new branch]              gh/zpcore/11/orig           -> origin/gh/zpcore/11/orig
2025-11-03T16:15:02.5323798Z  * [new branch]              gh/zpcore/12/base           -> origin/gh/zpcore/12/base
2025-11-03T16:15:02.5323964Z  * [new branch]              gh/zpcore/12/head           -> origin/gh/zpcore/12/head
2025-11-03T16:15:02.5324093Z  * [new branch]              gh/zpcore/12/orig           -> origin/gh/zpcore/12/orig
2025-11-03T16:15:02.5324241Z  * [new branch]              gh/zpcore/13/base           -> origin/gh/zpcore/13/base
2025-11-03T16:15:02.5324361Z  * [new branch]              gh/zpcore/13/head           -> origin/gh/zpcore/13/head
2025-11-03T16:15:02.5324698Z  * [new branch]              gh/zpcore/13/orig           -> origin/gh/zpcore/13/orig
2025-11-03T16:15:02.5325106Z  * [new branch]              gh/zpcore/14/base           -> origin/gh/zpcore/14/base
2025-11-03T16:15:02.5326346Z  * [new branch]              gh/zpcore/14/head           -> origin/gh/zpcore/14/head
2025-11-03T16:15:02.5326646Z  * [new branch]              gh/zpcore/14/orig           -> origin/gh/zpcore/14/orig
2025-11-03T16:15:02.5328920Z  * [new branch]              gh/zpcore/15/base           -> origin/gh/zpcore/15/base
2025-11-03T16:15:02.5329225Z  * [new branch]              gh/zpcore/15/head           -> origin/gh/zpcore/15/head
2025-11-03T16:15:02.5329408Z  * [new branch]              gh/zpcore/15/orig           -> origin/gh/zpcore/15/orig
2025-11-03T16:15:02.5329848Z  * [new branch]              gh/zpcore/16/base           -> origin/gh/zpcore/16/base
2025-11-03T16:15:02.5330784Z  * [new branch]              gh/zpcore/16/head           -> origin/gh/zpcore/16/head
2025-11-03T16:15:02.5331123Z  * [new branch]              gh/zpcore/16/orig           -> origin/gh/zpcore/16/orig
2025-11-03T16:15:02.5333719Z  * [new branch]              gh/zpcore/17/base           -> origin/gh/zpcore/17/base
2025-11-03T16:15:02.5334017Z  * [new branch]              gh/zpcore/17/head           -> origin/gh/zpcore/17/head
2025-11-03T16:15:02.5334197Z  * [new branch]              gh/zpcore/17/orig           -> origin/gh/zpcore/17/orig
2025-11-03T16:15:02.5334352Z  * [new branch]              gh/zpcore/18/base           -> origin/gh/zpcore/18/base
2025-11-03T16:15:02.5335616Z  * [new branch]              gh/zpcore/18/head           -> origin/gh/zpcore/18/head
2025-11-03T16:15:02.5335913Z  * [new branch]              gh/zpcore/18/orig           -> origin/gh/zpcore/18/orig
2025-11-03T16:15:02.5336569Z  * [new branch]              gh/zpcore/19/base           -> origin/gh/zpcore/19/base
2025-11-03T16:15:02.5341836Z  * [new branch]              gh/zpcore/19/head           -> origin/gh/zpcore/19/head
2025-11-03T16:15:02.5342147Z  * [new branch]              gh/zpcore/19/orig           -> origin/gh/zpcore/19/orig
2025-11-03T16:15:02.5342348Z  * [new branch]              gh/zpcore/2/base            -> origin/gh/zpcore/2/base
2025-11-03T16:15:02.5342560Z  * [new branch]              gh/zpcore/2/head            -> origin/gh/zpcore/2/head
2025-11-03T16:15:02.5342716Z  * [new branch]              gh/zpcore/20/base           -> origin/gh/zpcore/20/base
2025-11-03T16:15:02.5342861Z  * [new branch]              gh/zpcore/20/head           -> origin/gh/zpcore/20/head
2025-11-03T16:15:02.5343109Z  * [new branch]              gh/zpcore/20/orig           -> origin/gh/zpcore/20/orig
2025-11-03T16:15:02.5343243Z  * [new branch]              gh/zpcore/21/base           -> origin/gh/zpcore/21/base
2025-11-03T16:15:02.5343873Z  * [new branch]              gh/zpcore/21/head           -> origin/gh/zpcore/21/head
2025-11-03T16:15:02.5344546Z  * [new branch]              gh/zpcore/21/orig           -> origin/gh/zpcore/21/orig
2025-11-03T16:15:02.5348457Z  * [new branch]              gh/zpcore/22/base           -> origin/gh/zpcore/22/base
2025-11-03T16:15:02.5348761Z  * [new branch]              gh/zpcore/22/head           -> origin/gh/zpcore/22/head
2025-11-03T16:15:02.5348946Z  * [new branch]              gh/zpcore/22/orig           -> origin/gh/zpcore/22/orig
2025-11-03T16:15:02.5349149Z  * [new branch]              gh/zpcore/23/base           -> origin/gh/zpcore/23/base
2025-11-03T16:15:02.5349528Z  * [new branch]              gh/zpcore/23/head           -> origin/gh/zpcore/23/head
2025-11-03T16:15:02.5349791Z  * [new branch]              gh/zpcore/23/orig           -> origin/gh/zpcore/23/orig
2025-11-03T16:15:02.5350378Z  * [new branch]              gh/zpcore/24/base           -> origin/gh/zpcore/24/base
2025-11-03T16:15:02.5350553Z  * [new branch]              gh/zpcore/24/head           -> origin/gh/zpcore/24/head
2025-11-03T16:15:02.5351894Z  * [new branch]              gh/zpcore/24/orig           -> origin/gh/zpcore/24/orig
2025-11-03T16:15:02.5352065Z  * [new branch]              gh/zpcore/25/base           -> origin/gh/zpcore/25/base
2025-11-03T16:15:02.5352484Z  * [new branch]              gh/zpcore/25/head           -> origin/gh/zpcore/25/head
2025-11-03T16:15:02.5354824Z  * [new branch]              gh/zpcore/25/orig           -> origin/gh/zpcore/25/orig
2025-11-03T16:15:02.5354994Z  * [new branch]              gh/zpcore/3/base            -> origin/gh/zpcore/3/base
2025-11-03T16:15:02.5355143Z  * [new branch]              gh/zpcore/3/head            -> origin/gh/zpcore/3/head
2025-11-03T16:15:02.5356594Z  * [new branch]              gh/zpcore/4/base            -> origin/gh/zpcore/4/base
2025-11-03T16:15:02.5356901Z  * [new branch]              gh/zpcore/4/head            -> origin/gh/zpcore/4/head
2025-11-03T16:15:02.5357414Z  * [new branch]              gh/zpcore/5/base            -> origin/gh/zpcore/5/base
2025-11-03T16:15:02.5359072Z  * [new branch]              gh/zpcore/5/head            -> origin/gh/zpcore/5/head
2025-11-03T16:15:02.5359386Z  * [new branch]              gh/zpcore/6/base            -> origin/gh/zpcore/6/base
2025-11-03T16:15:02.5365082Z  * [new branch]              gh/zpcore/6/head            -> origin/gh/zpcore/6/head
2025-11-03T16:15:02.5365406Z  * [new branch]              gh/zpcore/7/base            -> origin/gh/zpcore/7/base
2025-11-03T16:15:02.5365622Z  * [new branch]              gh/zpcore/7/head            -> origin/gh/zpcore/7/head
2025-11-03T16:15:02.5365802Z  * [new branch]              gh/zpcore/8/base            -> origin/gh/zpcore/8/base
2025-11-03T16:15:02.5366002Z  * [new branch]              gh/zpcore/8/head            -> origin/gh/zpcore/8/head
2025-11-03T16:15:02.5366289Z  * [new branch]              google-main                 -> origin/google-main
2025-11-03T16:15:02.5366568Z  * [new branch]              greencontext                -> origin/greencontext
2025-11-03T16:15:02.5366712Z  * [new branch]              guangyey/config             -> origin/guangyey/config
2025-11-03T16:15:02.5367020Z  * [new branch]              guangyey/external_stream    -> origin/guangyey/external_stream
2025-11-03T16:15:02.5367169Z  * [new branch]              guangyey/reimport           -> origin/guangyey/reimport
2025-11-03T16:15:02.5367305Z  * [new branch]              guangyey/test_2025          -> origin/guangyey/test_2025
2025-11-03T16:15:02.5370383Z  * [new branch]              guilhermeleobas/cherry-pick-55d87d9dfd9 -> origin/guilhermeleobas/cherry-pick-55d87d9dfd9
2025-11-03T16:15:02.5376567Z  * [new branch]              hameerabbasi/gradcheck-allclose -> origin/hameerabbasi/gradcheck-allclose
2025-11-03T16:15:02.5376765Z  * [new branch]              haozhe/bf16-dynamic-shape   -> origin/haozhe/bf16-dynamic-shape
2025-11-03T16:15:02.5376900Z  * [new branch]              hc_baseline                 -> origin/hc_baseline
2025-11-03T16:15:02.5377040Z  * [new branch]              hhh_decomp_mul              -> origin/hhh_decomp_mul
2025-11-03T16:15:02.5378944Z  * [new branch]              hhh_rand                    -> origin/hhh_rand
2025-11-03T16:15:02.5379311Z  * [new branch]              hoy/triton-PR3973           -> origin/hoy/triton-PR3973
2025-11-03T16:15:02.5379590Z  * [new branch]              huba/debug_mode             -> origin/huba/debug_mode
2025-11-03T16:15:02.5379865Z  * [new branch]              huba/dtensor_equal          -> origin/huba/dtensor_equal
2025-11-03T16:15:02.5380103Z  * [new branch]              huba/f1                     -> origin/huba/f1
2025-11-03T16:15:02.5385428Z  * [new branch]              huba/local_tensor           -> origin/huba/local_tensor
2025-11-03T16:15:02.5385800Z  * [new branch]              increase-asan-build-memory  -> origin/increase-asan-build-memory
2025-11-03T16:15:02.5386148Z  * [new branch]              inductor-perf-increase-timeout -> origin/inductor-perf-increase-timeout
2025-11-03T16:15:02.5386387Z  * [new branch]              inductordecompfix           -> origin/inductordecompfix
2025-11-03T16:15:02.5386976Z  * [new branch]              inlining                    -> origin/inlining
2025-11-03T16:15:02.5387153Z  * [new branch]              inlining-ezyang             -> origin/inlining-ezyang
2025-11-03T16:15:02.5387315Z  * [new branch]              install-torchao-0.13.0      -> origin/install-torchao-0.13.0
2025-11-03T16:15:02.5387469Z  * [new branch]              install_free_tensors        -> origin/install_free_tensors
2025-11-03T16:15:02.5387605Z  * [new branch]              invoke-subgraph             -> origin/invoke-subgraph
2025-11-03T16:15:02.5387762Z  * [new branch]              issue#58739                 -> origin/issue#58739
2025-11-03T16:15:02.5387890Z  * [new branch]              jathu/o3                    -> origin/jathu/o3
2025-11-03T16:15:02.5393827Z  * [new branch]              jathu/sve                   -> origin/jathu/sve
2025-11-03T16:15:02.5394229Z  * [new branch]              jcaip/test-cusparselt-version-0.6.2 -> origin/jcaip/test-cusparselt-version-0.6.2
2025-11-03T16:15:02.5394518Z  * [new branch]              jcaip/update-cusparselt-0.6.2 -> origin/jcaip/update-cusparselt-0.6.2
2025-11-03T16:15:02.5394720Z  * [new branch]              jeanschmidt/autorevert_tag_cisev -> origin/jeanschmidt/autorevert_tag_cisev
2025-11-03T16:15:02.5394912Z  * [new branch]              jeanschmidt/autorevert_tag_cisev_2 -> origin/jeanschmidt/autorevert_tag_cisev_2
2025-11-03T16:15:02.5395218Z  * [new branch]              jithunnair-amd-patch-2      -> origin/jithunnair-amd-patch-2
2025-11-03T16:15:02.5395842Z  * [new branch]              jithunnair-amd-patch-3      -> origin/jithunnair-amd-patch-3
2025-11-03T16:15:02.5396033Z  * [new branch]              jithunnair-amd-patch-4      -> origin/jithunnair-amd-patch-4
2025-11-03T16:15:02.5396197Z  * [new branch]              justinchu/attention-tests   -> origin/justinchu/attention-tests
2025-11-03T16:15:02.5396576Z  * [new branch]              justinchu/export-warning    -> origin/justinchu/export-warning
2025-11-03T16:15:02.5396723Z  * [new branch]              justinchu/native-qdq        -> origin/justinchu/native-qdq
2025-11-03T16:15:02.5397082Z  * [new branch]              justinchuby/onnx-deprecation-msg -> origin/justinchuby/onnx-deprecation-msg
2025-11-03T16:15:02.5398808Z  * [new branch]              kainan666/xlf_debug         -> origin/kainan666/xlf_debug
2025-11-03T16:15:02.5398989Z  * [new branch]              kainan_test                 -> origin/kainan_test
2025-11-03T16:15:02.5402467Z  * [new branch]              leslie/test_group_gemm_epilogues -> origin/leslie/test_group_gemm_epilogues
2025-11-03T16:15:02.5402687Z  * [new branch]              lessw2020/fix_cutlass_cache_error -> origin/lessw2020/fix_cutlass_cache_error
2025-11-03T16:15:02.5402846Z  * [new branch]              liaoxuan/shm_all_reduce     -> origin/liaoxuan/shm_all_reduce
2025-11-03T16:15:02.5403058Z  * [new branch]              liaoxuan/test_fa_disable_softmax -> origin/liaoxuan/test_fa_disable_softmax
2025-11-03T16:15:02.5403273Z  * [new branch]              liaoxuan/test_int8_sdpa     -> origin/liaoxuan/test_int8_sdpa
2025-11-03T16:15:02.5404711Z  * [new branch]              lintbuilddocker             -> origin/lintbuilddocker
2025-11-03T16:15:02.5405017Z  * [new branch]              llama4-stable               -> origin/llama4-stable
2025-11-03T16:15:02.5405163Z  * [new branch]              logdetfix                   -> origin/logdetfix
2025-11-03T16:15:02.5406959Z  * [new branch]              lts/release/1.8             -> origin/lts/release/1.8
2025-11-03T16:15:02.5407498Z  * [new branch]              lucaskabela/#94773          -> origin/lucaskabela/#94773
2025-11-03T16:15:02.5408806Z  * [new branch]              lucaskabela/fix_164814      -> origin/lucaskabela/fix_164814
2025-11-03T16:15:02.5409118Z  * [new branch]              lucaskabela/fix_164823      -> origin/lucaskabela/fix_164823
2025-11-03T16:15:02.5409318Z  * [new branch]              lucaskabela/fix_164875      -> origin/lucaskabela/fix_164875
2025-11-03T16:15:02.5411879Z  * [new branch]              lucaskabela/fix_164876      -> origin/lucaskabela/fix_164876
2025-11-03T16:15:02.5412247Z  * [new branch]              lucaskabela/fix_error_for_named_tuples -> origin/lucaskabela/fix_error_for_named_tuples
2025-11-03T16:15:02.5412525Z  * [new branch]              lucaskabela/flop_counter    -> origin/lucaskabela/flop_counter
2025-11-03T16:15:02.5412734Z  * [new branch]              lucaskabela/func_under_decomp -> origin/lucaskabela/func_under_decomp
2025-11-03T16:15:02.5413093Z  * [new branch]              lucaskabela/functional_in_dynamo -> origin/lucaskabela/functional_in_dynamo
2025-11-03T16:15:02.5414255Z  * [new branch]              lucaskabela/install_params_as_graph_attr -> origin/lucaskabela/install_params_as_graph_attr
2025-11-03T16:15:02.5414531Z  * [new branch]              lucaskabela/parameters_as_graph_attr -> origin/lucaskabela/parameters_as_graph_attr
2025-11-03T16:15:02.5417581Z  * [new branch]              lucaskabela/remove_aot_dispatcher_metadata -> origin/lucaskabela/remove_aot_dispatcher_metadata
2025-11-03T16:15:02.5417910Z  * [new branch]              lucaskabela/rnn_decomp      -> origin/lucaskabela/rnn_decomp
2025-11-03T16:15:02.5418185Z  * [new branch]              lucaskabela/type_files_in_variables -> origin/lucaskabela/type_files_in_variables
2025-11-03T16:15:02.5418386Z  * [new branch]              lucaskabela/typing_backends -> origin/lucaskabela/typing_backends
2025-11-03T16:15:02.5418634Z  * [new branch]              lucaskabela/typing_variables -> origin/lucaskabela/typing_variables
2025-11-03T16:15:02.5418872Z  * [new branch]              lucaskabela/typinng_variables_builtin -> origin/lucaskabela/typinng_variables_builtin
2025-11-03T16:15:02.5420301Z  * [new branch]              lucaskablea/pickle_einops   -> origin/lucaskablea/pickle_einops
2025-11-03T16:15:02.5420714Z  * [new branch]              main                        -> origin/main
2025-11-03T16:15:02.5422702Z  * [new branch]              main-enable-b200-distributed-tests -> origin/main-enable-b200-distributed-tests
2025-11-03T16:15:02.5423012Z  * [new branch]              malfet-patch-2              -> origin/malfet-patch-2
2025-11-03T16:15:02.5423209Z  * [new branch]              malfet-patch-3              -> origin/malfet-patch-3
2025-11-03T16:15:02.5424882Z  * [new branch]              malfet-patch-7              -> origin/malfet-patch-7
2025-11-03T16:15:02.5425191Z  * [new branch]              malfet-patch-8              -> origin/malfet-patch-8
2025-11-03T16:15:02.5425343Z  * [new branch]              malfet-patch-9              -> origin/malfet-patch-9
2025-11-03T16:15:02.5430364Z  * [new branch]              malfet/add-3.14-ci          -> origin/malfet/add-3.14-ci
2025-11-03T16:15:02.5430709Z  * [new branch]              malfet/be-green-context     -> origin/malfet/be-green-context
2025-11-03T16:15:02.5431125Z  * [new branch]              malfet/be-move-more-settings-to-checkout-pytorch -> origin/malfet/be-move-more-settings-to-checkout-pytorch
2025-11-03T16:15:02.5431440Z  * [new branch]              malfet/mps-implement-col2im -> origin/malfet/mps-implement-col2im
2025-11-03T16:15:02.5431724Z  * [new branch]              manuel/aoti_metal_shimify-thread_safe -> origin/manuel/aoti_metal_shimify-thread_safe
2025-11-03T16:15:02.5432344Z  * [new branch]              manuel/test-ops-common-allow-mps -> origin/manuel/test-ops-common-allow-mps
2025-11-03T16:15:02.5432536Z  * [new branch]              masnesral/metaconda         -> origin/masnesral/metaconda
2025-11-03T16:15:02.5432904Z  * [new branch]              masnesral/pt2_internal_logging -> origin/masnesral/pt2_internal_logging
2025-11-03T16:15:02.5433113Z  * [new branch]              mem_profiler_stack_trace    -> origin/mem_profiler_stack_trace
2025-11-03T16:15:02.5434327Z  * [new branch]              memory_profiler_stack       -> origin/memory_profiler_stack
2025-11-03T16:15:02.5434707Z  * [new branch]              metascroy-patch-1           -> origin/metascroy-patch-1
2025-11-03T16:15:02.5435723Z  * [new branch]              mingw_posix                 -> origin/mingw_posix
2025-11-03T16:15:02.5436779Z  * [new branch]              mlazos/S429861-debug        -> origin/mlazos/S429861-debug
2025-11-03T16:15:02.5437046Z  * [new branch]              mlazos/aa                   -> origin/mlazos/aa
2025-11-03T16:15:02.5438150Z  * [new branch]              mlazos/acts                 -> origin/mlazos/acts
2025-11-03T16:15:02.5438441Z  * [new branch]              mlazos/arg-renames          -> origin/mlazos/arg-renames
2025-11-03T16:15:02.5443171Z  * [new branch]              mlazos/backup-test-branch   -> origin/mlazos/backup-test-branch
2025-11-03T16:15:02.5443515Z  * [new branch]              mlazos/bad-cudagraphs       -> origin/mlazos/bad-cudagraphs
2025-11-03T16:15:02.5443708Z  * [new branch]              mlazos/baseline             -> origin/mlazos/baseline
2025-11-03T16:15:02.5443932Z  * [new branch]              mlazos/baseline-graph-breaks -> origin/mlazos/baseline-graph-breaks
2025-11-03T16:15:02.5444161Z  * [new branch]              mlazos/beta-tensor          -> origin/mlazos/beta-tensor
2025-11-03T16:15:02.5444310Z  * [new branch]              mlazos/buffers              -> origin/mlazos/buffers
2025-11-03T16:15:02.5444440Z  * [new branch]              mlazos/buffers2             -> origin/mlazos/buffers2
2025-11-03T16:15:02.5448447Z  * [new branch]              mlazos/buffers3             -> origin/mlazos/buffers3
2025-11-03T16:15:02.5448755Z  * [new branch]              mlazos/ck2                  -> origin/mlazos/ck2
2025-11-03T16:15:02.5454012Z  * [new branch]              mlazos/combokernels         -> origin/mlazos/combokernels
2025-11-03T16:15:02.5454345Z  * [new branch]              mlazos/ctx-cleanup          -> origin/mlazos/ctx-cleanup
2025-11-03T16:15:02.5454570Z  * [new branch]              mlazos/cuda-cmd-log         -> origin/mlazos/cuda-cmd-log
2025-11-03T16:15:02.5455007Z  * [new branch]              mlazos/cudagraph-tests      -> origin/mlazos/cudagraph-tests
2025-11-03T16:15:02.5455722Z  * [new branch]              mlazos/cudagraphs-measurement -> origin/mlazos/cudagraphs-measurement
2025-11-03T16:15:02.5455893Z  * [new branch]              mlazos/cutlass-test         -> origin/mlazos/cutlass-test
2025-11-03T16:15:02.5456079Z  * [new branch]              mlazos/cutlass-topo-bug     -> origin/mlazos/cutlass-topo-bug
2025-11-03T16:15:02.5456241Z  * [new branch]              mlazos/dataclass-proxy      -> origin/mlazos/dataclass-proxy
2025-11-03T16:15:02.5456386Z  * [new branch]              mlazos/dc-attrs             -> origin/mlazos/dc-attrs
2025-11-03T16:15:02.5456533Z  * [new branch]              mlazos/dc-helion            -> origin/mlazos/dc-helion
2025-11-03T16:15:02.5456661Z  * [new branch]              mlazos/dict-fix             -> origin/mlazos/dict-fix
2025-11-03T16:15:02.5456803Z  * [new branch]              mlazos/disable-tf           -> origin/mlazos/disable-tf
2025-11-03T16:15:02.5456932Z  * [new branch]              mlazos/dupe-fix             -> origin/mlazos/dupe-fix
2025-11-03T16:15:02.5457068Z  * [new branch]              mlazos/dyn-batch            -> origin/mlazos/dyn-batch
2025-11-03T16:15:02.5457352Z  * [new branch]              mlazos/evt                  -> origin/mlazos/evt
2025-11-03T16:15:02.5457532Z  * [new branch]              mlazos/extract-examples     -> origin/mlazos/extract-examples
2025-11-03T16:15:02.5457767Z  * [new branch]              mlazos/foreach-op           -> origin/mlazos/foreach-op
2025-11-03T16:15:02.5460425Z  * [new branch]              mlazos/fp8                  -> origin/mlazos/fp8
2025-11-03T16:15:02.5460898Z  * [new branch]              mlazos/fp8-bias             -> origin/mlazos/fp8-bias
2025-11-03T16:15:02.5461207Z  * [new branch]              mlazos/fp8-bias-fusion      -> origin/mlazos/fp8-bias-fusion
2025-11-03T16:15:02.5461393Z  * [new branch]              mlazos/fp8-fixes            -> origin/mlazos/fp8-fixes
2025-11-03T16:15:02.5461574Z  * [new branch]              mlazos/freezing             -> origin/mlazos/freezing
2025-11-03T16:15:02.5462159Z  * [new branch]              mlazos/h-comp               -> origin/mlazos/h-comp
2025-11-03T16:15:02.5463001Z  * [new branch]              mlazos/h-comp2              -> origin/mlazos/h-comp2
2025-11-03T16:15:02.5463551Z  * [new branch]              mlazos/hash-hop             -> origin/mlazos/hash-hop
2025-11-03T16:15:02.5464614Z  * [new branch]              mlazos/hc                   -> origin/mlazos/hc
2025-11-03T16:15:02.5466206Z  * [new branch]              mlazos/hc-cycles            -> origin/mlazos/hc-cycles
2025-11-03T16:15:02.5466369Z  * [new branch]              mlazos/hc-fixes             -> origin/mlazos/hc-fixes
2025-11-03T16:15:02.5466509Z  * [new branch]              mlazos/hc-fixes3            -> origin/mlazos/hc-fixes3
2025-11-03T16:15:02.5471111Z  * [new branch]              mlazos/hc-fixes4            -> origin/mlazos/hc-fixes4
2025-11-03T16:15:02.5473114Z  * [new branch]              mlazos/hc-hf                -> origin/mlazos/hc-hf
2025-11-03T16:15:02.5473258Z  * [new branch]              mlazos/hc-mut               -> origin/mlazos/hc-mut
2025-11-03T16:15:02.5473401Z  * [new branch]              mlazos/hc10                 -> origin/mlazos/hc10
2025-11-03T16:15:02.5473514Z  * [new branch]              mlazos/hc11                 -> origin/mlazos/hc11
2025-11-03T16:15:02.5473624Z  * [new branch]              mlazos/hc12                 -> origin/mlazos/hc12
2025-11-03T16:15:02.5473742Z  * [new branch]              mlazos/hc13                 -> origin/mlazos/hc13
2025-11-03T16:15:02.5473852Z  * [new branch]              mlazos/hc14                 -> origin/mlazos/hc14
2025-11-03T16:15:02.5474249Z  * [new branch]              mlazos/hc15                 -> origin/mlazos/hc15
2025-11-03T16:15:02.5474368Z  * [new branch]              mlazos/hc2                  -> origin/mlazos/hc2
2025-11-03T16:15:02.5474707Z  * [new branch]              mlazos/hc4                  -> origin/mlazos/hc4
2025-11-03T16:15:02.5474983Z  * [new branch]              mlazos/hc5                  -> origin/mlazos/hc5
2025-11-03T16:15:02.5475641Z  * [new branch]              mlazos/hc6                  -> origin/mlazos/hc6
2025-11-03T16:15:02.5475789Z  * [new branch]              mlazos/hc7                  -> origin/mlazos/hc7
2025-11-03T16:15:02.5476388Z  * [new branch]              mlazos/hc8                  -> origin/mlazos/hc8
2025-11-03T16:15:02.5477265Z  * [new branch]              mlazos/hc9                  -> origin/mlazos/hc9
2025-11-03T16:15:02.5477678Z  * [new branch]              mlazos/hc_baseline2         -> origin/mlazos/hc_baseline2
2025-11-03T16:15:02.5478314Z  * [new branch]              mlazos/inductor-streams     -> origin/mlazos/inductor-streams
2025-11-03T16:15:02.5484795Z  * [new branch]              mlazos/lr-composibility     -> origin/mlazos/lr-composibility
2025-11-03T16:15:02.5484984Z  * [new branch]              mlazos/main                 -> origin/mlazos/main
2025-11-03T16:15:02.5485170Z  * [new branch]              mlazos/main-test-enablement -> origin/mlazos/main-test-enablement
2025-11-03T16:15:02.5485300Z  * [new branch]              mlazos/mcg                  -> origin/mlazos/mcg
2025-11-03T16:15:02.5485418Z  * [new branch]              mlazos/mcg2                 -> origin/mlazos/mcg2
2025-11-03T16:15:02.5485556Z  * [new branch]              mlazos/meta-guards          -> origin/mlazos/meta-guards
2025-11-03T16:15:02.5485698Z  * [new branch]              mlazos/mlazos/ck2           -> origin/mlazos/mlazos/ck2
2025-11-03T16:15:02.5485917Z  * [new branch]              mlazos/mlazos/foreach-map-adam -> origin/mlazos/mlazos/foreach-map-adam
2025-11-03T16:15:02.5486273Z  * [new branch]              mlazos/mlazos/tf-mode-backup -> origin/mlazos/mlazos/tf-mode-backup
2025-11-03T16:15:02.5486413Z  * [new branch]              mlazos/mod-fix              -> origin/mlazos/mod-fix
2025-11-03T16:15:02.5486701Z  * [new branch]              mlazos/mode-fix             -> origin/mlazos/mode-fix
2025-11-03T16:15:02.5486849Z  * [new branch]              mlazos/more-tests           -> origin/mlazos/more-tests
2025-11-03T16:15:02.5487374Z  * [new branch]              mlazos/offsets              -> origin/mlazos/offsets
2025-11-03T16:15:02.5487766Z  * [new branch]              mlazos/proxy-ctors          -> origin/mlazos/proxy-ctors
2025-11-03T16:15:02.5489029Z  * [new branch]              mlazos/quant-fix            -> origin/mlazos/quant-fix
2025-11-03T16:15:02.5489389Z  * [new branch]              mlazos/resnet-fix           -> origin/mlazos/resnet-fix
2025-11-03T16:15:02.5489845Z  * [new branch]              mlazos/rm-buf-names         -> origin/mlazos/rm-buf-names
2025-11-03T16:15:02.5492256Z  * [new branch]              mlazos/rm-code              -> origin/mlazos/rm-code
2025-11-03T16:15:02.5492553Z  * [new branch]              mlazos/rm-spam              -> origin/mlazos/rm-spam
2025-11-03T16:15:02.5492731Z  * [new branch]              mlazos/rtp                  -> origin/mlazos/rtp
2025-11-03T16:15:02.5492901Z  * [new branch]              mlazos/static-idx-dbg       -> origin/mlazos/static-idx-dbg
2025-11-03T16:15:02.5493202Z  * [new branch]              mlazos/static-inputs-log    -> origin/mlazos/static-inputs-log
2025-11-03T16:15:02.5494159Z  * [new branch]              mlazos/td-fix2              -> origin/mlazos/td-fix2
2025-11-03T16:15:02.5494545Z  * [new branch]              mlazos/tensor-hasattr2      -> origin/mlazos/tensor-hasattr2
2025-11-03T16:15:02.5497707Z  * [new branch]              mlazos/test                 -> origin/mlazos/test
2025-11-03T16:15:02.5498023Z  * [new branch]              mlazos/tf-mode              -> origin/mlazos/tf-mode
2025-11-03T16:15:02.5498259Z  * [new branch]              mlazos/tf-mode-backup2      -> origin/mlazos/tf-mode-backup2
2025-11-03T16:15:02.5498523Z  * [new branch]              mlazos/tf-mode-reland       -> origin/mlazos/tf-mode-reland
2025-11-03T16:15:02.5498963Z  * [new branch]              mlazos/tf-mode-reland2      -> origin/mlazos/tf-mode-reland2
2025-11-03T16:15:02.5499142Z  * [new branch]              mlazos/tf-mode-reland3      -> origin/mlazos/tf-mode-reland3
2025-11-03T16:15:02.5499794Z  * [new branch]              mlazos/triton-no-epi        -> origin/mlazos/triton-no-epi
2025-11-03T16:15:02.5501299Z  * [new branch]              mlazos/tune-proto           -> origin/mlazos/tune-proto
2025-11-03T16:15:02.5501629Z  * [new branch]              mlazos/tuple-fixes          -> origin/mlazos/tuple-fixes
2025-11-03T16:15:02.5501792Z  * [new branch]              mlazos/tuple-fixes2         -> origin/mlazos/tuple-fixes2
2025-11-03T16:15:02.5504491Z  * [new branch]              mlazos/tuple-handling       -> origin/mlazos/tuple-handling
2025-11-03T16:15:02.5504839Z  * [new branch]              mlazos/user-stream-base     -> origin/mlazos/user-stream-base
2025-11-03T16:15:02.5505080Z  * [new branch]              mlazos/user-streams         -> origin/mlazos/user-streams
2025-11-03T16:15:02.5505283Z  * [new branch]              mlazos/user-streams-backup  -> origin/mlazos/user-streams-backup
2025-11-03T16:15:02.5505534Z  * [new branch]              mlazos/user-streams-backup2 -> origin/mlazos/user-streams-backup2
2025-11-03T16:15:02.5506133Z  * [new branch]              mlazos/vary-beta            -> origin/mlazos/vary-beta
2025-11-03T16:15:02.5509541Z  * [new branch]              mlazos/vary-beta2           -> origin/mlazos/vary-beta2
2025-11-03T16:15:02.5509875Z  * [new branch]              mlazos/weird-perf1          -> origin/mlazos/weird-perf1
2025-11-03T16:15:02.5510454Z  * [new branch]              mm_out_dtype_compile        -> origin/mm_out_dtype_compile
2025-11-03T16:15:02.5510767Z  * [new branch]              module-shim                 -> origin/module-shim
2025-11-03T16:15:02.5510940Z  * [new branch]              move-theme-out-docker       -> origin/move-theme-out-docker
2025-11-03T16:15:02.5511138Z  * [new branch]              move_aws_steps_inside_setup_rocm -> origin/move_aws_steps_inside_setup_rocm
2025-11-03T16:15:02.5512991Z  * [new branch]              msaroufim-patch-2           -> origin/msaroufim-patch-2
2025-11-03T16:15:02.5513302Z  * [new branch]              msaroufim/reduce            -> origin/msaroufim/reduce
2025-11-03T16:15:02.5513626Z  * [new branch]              mtia/basic-cmake            -> origin/mtia/basic-cmake
2025-11-03T16:15:02.5515513Z  * [new branch]              mwizak/fix-triton-block-shape -> origin/mwizak/fix-triton-block-shape
2025-11-03T16:15:02.5515728Z  * [new branch]              mwizak/restrict-test-mm-backend -> origin/mwizak/restrict-test-mm-backend
2025-11-03T16:15:02.5516207Z  * [new branch]              my_varlen_backup            -> origin/my_varlen_backup
2025-11-03T16:15:02.5517125Z  * [new branch]              nativert_num_outputs        -> origin/nativert_num_outputs
2025-11-03T16:15:02.5517376Z  * [new branch]              new-codegen                 -> origin/new-codegen
2025-11-03T16:15:02.5518523Z  * [new branch]              newtest-base                -> origin/newtest-base
2025-11-03T16:15:02.5519714Z  * [new branch]              ngimel/discont_allgather    -> origin/ngimel/discont_allgather
2025-11-03T16:15:02.5520053Z  * [new branch]              ngimel/error_index_list     -> origin/ngimel/error_index_list
2025-11-03T16:15:02.5520993Z  * [new branch]              ngimel/gg_new               -> origin/ngimel/gg_new
2025-11-03T16:15:02.5521371Z  * [new branch]              ngimel/nDim_fix             -> origin/ngimel/nDim_fix
2025-11-03T16:15:02.5522685Z  * [new branch]              nightly                     -> origin/nightly
2025-11-03T16:15:02.5522902Z  * [new branch]              nikitaved/addmm_1_rowcol_lt_path_check -> origin/nikitaved/addmm_1_rowcol_lt_path_check
2025-11-03T16:15:02.5524981Z  * [new branch]              nikitaved/addmm_epilogue_fusions -> origin/nikitaved/addmm_epilogue_fusions
2025-11-03T16:15:02.5525238Z  * [new branch]              nikitaved/addmm_epilogue_fusions_2d_bias -> origin/nikitaved/addmm_epilogue_fusions_2d_bias
2025-11-03T16:15:02.5525632Z  * [new branch]              nikitaved/addmm_epilogue_fusions_inductor -> origin/nikitaved/addmm_epilogue_fusions_inductor
2025-11-03T16:15:02.5526203Z  * [new branch]              nikitaved/addmm_epilogue_fusions_scratch -> origin/nikitaved/addmm_epilogue_fusions_scratch
2025-11-03T16:15:02.5527111Z  * [new branch]              nikitaved/simpler_can_use_32bit_index -> origin/nikitaved/simpler_can_use_32bit_index
2025-11-03T16:15:02.5527445Z  * [new branch]              nikitaved/test              -> origin/nikitaved/test
2025-11-03T16:15:02.5531272Z  * [new branch]              nmacchioni-40p-machine-balance -> origin/nmacchioni-40p-machine-balance
2025-11-03T16:15:02.5531911Z  * [new branch]              nmacchioni-60p-machine-balance -> origin/nmacchioni-60p-machine-balance
2025-11-03T16:15:02.5532200Z  * [new branch]              nmacchioni-padmm-no-compute-bound-check -> origin/nmacchioni-padmm-no-compute-bound-check
2025-11-03T16:15:02.5532367Z  * [new branch]              nmacchioni-patch-1          -> origin/nmacchioni-patch-1
2025-11-03T16:15:02.5532530Z  * [new branch]              no_distributed_log_spew     -> origin/no_distributed_log_spew
2025-11-03T16:15:02.5532654Z  * [new branch]              nofun-hack                  -> origin/nofun-hack
2025-11-03T16:15:02.5533093Z  * [new branch]              nullplay/fuse_matmul        -> origin/nullplay/fuse_matmul
2025-11-03T16:15:02.5533952Z  * [new branch]              nullplay_fuse_matmul        -> origin/nullplay_fuse_matmul
2025-11-03T16:15:02.5535261Z  * [new branch]              orig/release/1.10           -> origin/orig/release/1.10
2025-11-03T16:15:02.5535696Z  * [new branch]              orig/release/1.11           -> origin/orig/release/1.11
2025-11-03T16:15:02.5536965Z  * [new branch]              orig/release/1.12           -> origin/orig/release/1.12
2025-11-03T16:15:02.5537451Z  * [new branch]              orig/release/1.13           -> origin/orig/release/1.13
2025-11-03T16:15:02.5538764Z  * [new branch]              orig/release/1.6            -> origin/orig/release/1.6
2025-11-03T16:15:02.5539081Z  * [new branch]              orig/release/1.7            -> origin/orig/release/1.7
2025-11-03T16:15:02.5542964Z  * [new branch]              orig/release/1.8            -> origin/orig/release/1.8
2025-11-03T16:15:02.5543131Z  * [new branch]              orig/release/1.9            -> origin/orig/release/1.9
2025-11-03T16:15:02.5543261Z  * [new branch]              orig/release/2.0            -> origin/orig/release/2.0
2025-11-03T16:15:02.5543397Z  * [new branch]              orig/release/2.1            -> origin/orig/release/2.1
2025-11-03T16:15:02.5543524Z  * [new branch]              orig/release/2.2            -> origin/orig/release/2.2
2025-11-03T16:15:02.5543920Z  * [new branch]              orig/release/2.3            -> origin/orig/release/2.3
2025-11-03T16:15:02.5544195Z  * [new branch]              orig/release/2.4            -> origin/orig/release/2.4
2025-11-03T16:15:02.5547252Z  * [new branch]              orig/release/2.5            -> origin/orig/release/2.5
2025-11-03T16:15:02.5547405Z  * [new branch]              orig/release/2.6            -> origin/orig/release/2.6
2025-11-03T16:15:02.5547561Z  * [new branch]              orig/release/2.7            -> origin/orig/release/2.7
2025-11-03T16:15:02.5547825Z  * [new branch]              orig/release/2.8            -> origin/orig/release/2.8
2025-11-03T16:15:02.5554657Z  * [new branch]              orig/release/2.9            -> origin/orig/release/2.9
2025-11-03T16:15:02.5554859Z  * [new branch]              origin/gh/fxdawnn/1/base    -> origin/origin/gh/fxdawnn/1/base
2025-11-03T16:15:02.5555014Z  * [new branch]              origin/gh/fxdawnn/1/orig    -> origin/origin/gh/fxdawnn/1/orig
2025-11-03T16:15:02.5555209Z  * [new branch]              origin/gh/zpcore/14/orig    -> origin/origin/gh/zpcore/14/orig
2025-11-03T16:15:02.5555353Z  * [new branch]              padded-tensor               -> origin/padded-tensor
2025-11-03T16:15:02.5555654Z  * [new branch]              pca2                        -> origin/pca2
2025-11-03T16:15:02.5555796Z  * [new branch]              per_channel_backup          -> origin/per_channel_backup
2025-11-03T16:15:02.5557424Z  * [new branch]              perf_ops                    -> origin/perf_ops
2025-11-03T16:15:02.5557576Z  * [new branch]              perf_ops_2_9                -> origin/perf_ops_2_9
2025-11-03T16:15:02.5557748Z  * [new branch]              pianpwk-patch-1             -> origin/pianpwk-patch-1
2025-11-03T16:15:02.5557885Z  * [new branch]              pianpwk-patch-2             -> origin/pianpwk-patch-2
2025-11-03T16:15:02.5558019Z  * [new branch]              pianpwk-patch-3             -> origin/pianpwk-patch-3
2025-11-03T16:15:02.5558286Z  * [new branch]              pianpwk/__draft_debug_mode  -> origin/pianpwk/__draft_debug_mode
2025-11-03T16:15:02.5564965Z  * [new branch]              pianpwk/_debug_mode_for_triton_draft -> origin/pianpwk/_debug_mode_for_triton_draft
2025-11-03T16:15:02.5565210Z  * [new branch]              pianpwk/_profile_w_dispatch_keys -> origin/pianpwk/_profile_w_dispatch_keys
2025-11-03T16:15:02.5565393Z  * [new branch]              pianpwk/_super_draft_debug_mode -> origin/pianpwk/_super_draft_debug_mode
2025-11-03T16:15:02.5565554Z  * [new branch]              pianpwk/anomaly_tb          -> origin/pianpwk/anomaly_tb
2025-11-03T16:15:02.5565716Z  * [new branch]              pianpwk/auto_fx_annotate    -> origin/pianpwk/auto_fx_annotate
2025-11-03T16:15:02.5565927Z  * [new branch]              pianpwk/backed_size_oblivious_export -> origin/pianpwk/backed_size_oblivious_export
2025-11-03T16:15:02.5566089Z  * [new branch]              pianpwk/base_view_shape_key -> origin/pianpwk/base_view_shape_key
2025-11-03T16:15:02.5566405Z  * [new branch]              pianpwk/bert_dynamic_perf   -> origin/pianpwk/bert_dynamic_perf
2025-11-03T16:15:02.5566750Z  * [new branch]              pianpwk/debug_fwd_stack_traces -> origin/pianpwk/debug_fwd_stack_traces
2025-11-03T16:15:02.5567569Z  * [new branch]              pianpwk/debug_mode_hacks    -> origin/pianpwk/debug_mode_hacks
2025-11-03T16:15:02.5567747Z  * [new branch]              pianpwk/debug_mode_hooks    -> origin/pianpwk/debug_mode_hooks
2025-11-03T16:15:02.5567912Z  * [new branch]              pianpwk/debug_mode_inductor -> origin/pianpwk/debug_mode_inductor
2025-11-03T16:15:02.5568113Z  * [new branch]              pianpwk/debug_mode_opcall_refactor -> origin/pianpwk/debug_mode_opcall_refactor
2025-11-03T16:15:02.5568315Z  * [new branch]              pianpwk/debug_mode_show_ids -> origin/pianpwk/debug_mode_show_ids
2025-11-03T16:15:02.5568492Z  * [new branch]              pianpwk/debugmode_compile_tf -> origin/pianpwk/debugmode_compile_tf
2025-11-03T16:15:02.5574816Z  * [new branch]              pianpwk/debugmode_show_ids  -> origin/pianpwk/debugmode_show_ids
2025-11-03T16:15:02.5575254Z  * [new branch]              pianpwk/dispatch_key_debugging_for_debug -> origin/pianpwk/dispatch_key_debugging_for_debug
2025-11-03T16:15:02.5575610Z  * [new branch]              pianpwk/draft_debug_mode_tfcompile -> origin/pianpwk/draft_debug_mode_tfcompile
2025-11-03T16:15:02.5575919Z  * [new branch]              pianpwk/draft_multikernel_nn -> origin/pianpwk/draft_multikernel_nn
2025-11-03T16:15:02.5576172Z  * [new branch]              pianpwk/draft_multikernel_status_10_5 -> origin/pianpwk/draft_multikernel_status_10_5
2025-11-03T16:15:02.5576337Z  * [new branch]              pianpwk/event_list_tree     -> origin/pianpwk/event_list_tree
2025-11-03T16:15:02.5576653Z  * [new branch]              pianpwk/false_numel_refs    -> origin/pianpwk/false_numel_refs
2025-11-03T16:15:02.5577266Z  * [new branch]              pianpwk/fx_export_annotate  -> origin/pianpwk/fx_export_annotate
2025-11-03T16:15:02.5577476Z  * [new branch]              pianpwk/maybe_guard_rel     -> origin/pianpwk/maybe_guard_rel
2025-11-03T16:15:02.5577670Z  * [new branch]              pianpwk/multikernel_hints_draft -> origin/pianpwk/multikernel_hints_draft
2025-11-03T16:15:02.5578084Z  * [new branch]              pianpwk/no_size_oblivious_slice_scat -> origin/pianpwk/no_size_oblivious_slice_scat
2025-11-03T16:15:02.5578292Z  * [new branch]              pianpwk/oblivious_reshape_view_better -> origin/pianpwk/oblivious_reshape_view_better
2025-11-03T16:15:02.5578449Z  * [new branch]              pianpwk/pre_forward_hook    -> origin/pianpwk/pre_forward_hook
2025-11-03T16:15:02.5578651Z  * [new branch]              pianpwk/skip_python_keys_alternate -> origin/pianpwk/skip_python_keys_alternate
2025-11-03T16:15:02.5578823Z  * [new branch]              pianpwk/skip_python_keys_in_guards -> origin/pianpwk/skip_python_keys_in_guards
2025-11-03T16:15:02.5578974Z  * [new branch]              pianpwk/sym_tokens_draft    -> origin/pianpwk/sym_tokens_draft
2025-11-03T16:15:02.5579164Z  * [new branch]              pianpwk/test_pointwise_guard_or_false -> origin/pianpwk/test_pointwise_guard_or_false
2025-11-03T16:15:02.5579332Z  * [new branch]              pianpwk/totally_draft_sym_wrap -> origin/pianpwk/totally_draft_sym_wrap
2025-11-03T16:15:02.5579487Z  * [new branch]              pianpwk/try_dumb_stuff      -> origin/pianpwk/try_dumb_stuff
2025-11-03T16:15:02.5583769Z  * [new branch]              pianpwk/try_dumb_stuff_2    -> origin/pianpwk/try_dumb_stuff_2
2025-11-03T16:15:02.5584091Z  * [new branch]              pianpwk/user_symints        -> origin/pianpwk/user_symints
2025-11-03T16:15:02.5584319Z  * [new branch]              pianpwk/wan21_reshape       -> origin/pianpwk/wan21_reshape
2025-11-03T16:15:02.5584554Z  * [new branch]              piz/fall_back_missing_0716  -> origin/piz/fall_back_missing_0716
2025-11-03T16:15:02.5584786Z  * [new branch]              piz/fix_static_shard_method -> origin/piz/fix_static_shard_method
2025-11-03T16:15:02.5589792Z  * [new branch]              pool-separate               -> origin/pool-separate
2025-11-03T16:15:02.5590117Z  * [new branch]              pr-156087                   -> origin/pr-156087
2025-11-03T16:15:02.5590273Z  * [new branch]              pr/131860                   -> origin/pr/131860
2025-11-03T16:15:02.5590406Z  * [new branch]              pr165329                    -> origin/pr165329
2025-11-03T16:15:02.5590509Z  * [new branch]              pr165330                    -> origin/pr165330
2025-11-03T16:15:02.5590737Z  * [new branch]              pr165564                    -> origin/pr165564
2025-11-03T16:15:02.5591390Z  * [new branch]              pr165636                    -> origin/pr165636
2025-11-03T16:15:02.5591666Z  * [new branch]              pr165637                    -> origin/pr165637
2025-11-03T16:15:02.5591808Z  * [new branch]              pr165638                    -> origin/pr165638
2025-11-03T16:15:02.5591931Z  * [new branch]              pr165639                    -> origin/pr165639
2025-11-03T16:15:02.5592033Z  * [new branch]              pr165640                    -> origin/pr165640
2025-11-03T16:15:02.5592143Z  * [new branch]              pr165642                    -> origin/pr165642
2025-11-03T16:15:02.5594926Z  * [new branch]              pr165994                    -> origin/pr165994
2025-11-03T16:15:02.5595212Z  * [new branch]              pr166102                    -> origin/pr166102
2025-11-03T16:15:02.5595351Z  * [new branch]              pr166103                    -> origin/pr166103
2025-11-03T16:15:02.5595458Z  * [new branch]              pr166149                    -> origin/pr166149
2025-11-03T16:15:02.5595685Z  * [new branch]              pr166182                    -> origin/pr166182
2025-11-03T16:15:02.5595830Z  * [new branch]              predispatch_to              -> origin/predispatch_to
2025-11-03T16:15:02.5596145Z  * [new branch]              prepare-perf-baseline-number-2.8 -> origin/prepare-perf-baseline-number-2.8
2025-11-03T16:15:02.5596783Z  * [new branch]              prepare-perf-number-2.9     -> origin/prepare-perf-number-2.9
2025-11-03T16:15:02.5596948Z  * [new branch]              pt-opt-cuda3                -> origin/pt-opt-cuda3
2025-11-03T16:15:02.5597248Z  * [new branch]              python_compiled_autograd    -> origin/python_compiled_autograd
2025-11-03T16:15:02.5597743Z  * [new branch]              qchip/export-D54134695      -> origin/qchip/export-D54134695
2025-11-03T16:15:02.5598851Z  * [new branch]              quint-bits                  -> origin/quint-bits
2025-11-03T16:15:02.5599350Z  * [new branch]              reland-accgrad-stream-warn  -> origin/reland-accgrad-stream-warn
2025-11-03T16:15:02.5602887Z  * [new branch]              reland-fx-annotate          -> origin/reland-fx-annotate
2025-11-03T16:15:02.5603197Z  * [new branch]              release/1.10                -> origin/release/1.10
2025-11-03T16:15:02.5603355Z  * [new branch]              release/1.11                -> origin/release/1.11
2025-11-03T16:15:02.5603516Z  * [new branch]              release/1.12                -> origin/release/1.12
2025-11-03T16:15:02.5603738Z  * [new branch]              release/1.13                -> origin/release/1.13
2025-11-03T16:15:02.5609013Z  * [new branch]              release/1.4                 -> origin/release/1.4
2025-11-03T16:15:02.5613786Z  * [new branch]              release/1.4.1               -> origin/release/1.4.1
2025-11-03T16:15:02.5618429Z  * [new branch]              release/1.5                 -> origin/release/1.5
2025-11-03T16:15:02.5624126Z  * [new branch]              release/1.6                 -> origin/release/1.6
2025-11-03T16:15:02.5628401Z  * [new branch]              release/1.7                 -> origin/release/1.7
2025-11-03T16:15:02.5628698Z  * [new branch]              release/1.8                 -> origin/release/1.8
2025-11-03T16:15:02.5628831Z  * [new branch]              release/1.9                 -> origin/release/1.9
2025-11-03T16:15:02.5629179Z  * [new branch]              release/2.0                 -> origin/release/2.0
2025-11-03T16:15:02.5629416Z  * [new branch]              release/2.1                 -> origin/release/2.1
2025-11-03T16:15:02.5630019Z  * [new branch]              release/2.2                 -> origin/release/2.2
2025-11-03T16:15:02.5630187Z  * [new branch]              release/2.3                 -> origin/release/2.3
2025-11-03T16:15:02.5630312Z  * [new branch]              release/2.4                 -> origin/release/2.4
2025-11-03T16:15:02.5630423Z  * [new branch]              release/2.5                 -> origin/release/2.5
2025-11-03T16:15:02.5630543Z  * [new branch]              release/2.6                 -> origin/release/2.6
2025-11-03T16:15:02.5630653Z  * [new branch]              release/2.7                 -> origin/release/2.7
2025-11-03T16:15:02.5630763Z  * [new branch]              release/2.8                 -> origin/release/2.8
2025-11-03T16:15:02.5630880Z  * [new branch]              release/2.9                 -> origin/release/2.9
2025-11-03T16:15:02.5631029Z  * [new branch]              release_notes               -> origin/release_notes
2025-11-03T16:15:02.5631173Z  * [new branch]              remove-meta-files           -> origin/remove-meta-files
2025-11-03T16:15:02.5631321Z  * [new branch]              remove_pyinterpreter        -> origin/remove_pyinterpreter
2025-11-03T16:15:02.5631541Z  * [new branch]              replace-pytorch-labs-20250812-195836 -> origin/replace-pytorch-labs-20250812-195836
2025-11-03T16:15:02.5631743Z  * [new branch]              replace-pytorch-labs-20250812-200248 -> origin/replace-pytorch-labs-20250812-200248
2025-11-03T16:15:02.5631939Z  * [new branch]              replace-pytorch-labs-20250812-200324 -> origin/replace-pytorch-labs-20250812-200324
2025-11-03T16:15:02.5632137Z  * [new branch]              replace-pytorch-labs-20250812-204020 -> origin/replace-pytorch-labs-20250812-204020
2025-11-03T16:15:02.5632358Z  * [new branch]              revert-131069-gh/krzysztofjordan/1/head -> origin/revert-131069-gh/krzysztofjordan/1/head
2025-11-03T16:15:02.5632553Z  * [new branch]              revert-131469-gh/andrewor14/51/head -> origin/revert-131469-gh/andrewor14/51/head
2025-11-03T16:15:02.5632728Z  * [new branch]              revert-152361-gh/fadara01/1/head -> origin/revert-152361-gh/fadara01/1/head
2025-11-03T16:15:02.5633034Z  * [new branch]              revert-156870-gh/skarjala/3/head -> origin/revert-156870-gh/skarjala/3/head
2025-11-03T16:15:02.5633313Z  * [new branch]              revert-157914-cherry-pick-157503-by-pytorch_bot_bot_ -> origin/revert-157914-cherry-pick-157503-by-pytorch_bot_bot_
2025-11-03T16:15:02.5633477Z  * [new branch]              revert-165144-gh/fadara01/2/head -> origin/revert-165144-gh/fadara01/2/head
2025-11-03T16:15:02.5633604Z  * [new branch]              revert-cpp                  -> origin/revert-cpp
2025-11-03T16:15:02.5633725Z  * [new branch]              revert-failed               -> origin/revert-failed
2025-11-03T16:15:02.5633919Z  * [new branch]              revert_always_build_distributed -> origin/revert_always_build_distributed
2025-11-03T16:15:02.5634041Z  * [new branch]              rms_norm_patch              -> origin/rms_norm_patch
2025-11-03T16:15:02.5634187Z  * [new branch]              ruisi/aot_eager_pass        -> origin/ruisi/aot_eager_pass
2025-11-03T16:15:02.5634338Z  * [new branch]              ruisi/manual_bucket_pass    -> origin/ruisi/manual_bucket_pass
2025-11-03T16:15:02.5634477Z  * [new branch]              ruisi/placement_trace       -> origin/ruisi/placement_trace
2025-11-03T16:15:02.5635163Z  * [new branch]              ryanguo99/cleanup-dynamo-expected-failures -> origin/ryanguo99/cleanup-dynamo-expected-failures
2025-11-03T16:15:02.5635589Z  * [new branch]              ryanguo99/fix-closure-var   -> origin/ryanguo99/fix-closure-var
2025-11-03T16:15:02.5636809Z  * [new branch]              rzou/faketensor_bench       -> origin/rzou/faketensor_bench
2025-11-03T16:15:02.5637502Z  * [new branch]              rzou/njt                    -> origin/rzou/njt
2025-11-03T16:15:02.5638235Z  * [new branch]              rzou/pca                    -> origin/rzou/pca
2025-11-03T16:15:02.5638756Z  * [new branch]              rzou/realprop               -> origin/rzou/realprop
2025-11-03T16:15:02.5639644Z  * [new branch]              samplevllm                  -> origin/samplevllm
2025-11-03T16:15:02.5643895Z  * [new branch]              sanchitintel/weird_thing_with_test_cpu_select_algorithm -> origin/sanchitintel/weird_thing_with_test_cpu_select_algorithm
2025-11-03T16:15:02.5644110Z  * [new branch]              sapling-pr-archive-SS-JIA   -> origin/sapling-pr-archive-SS-JIA
2025-11-03T16:15:02.5644317Z  * [new branch]              sapling-pr-archive-tushar00jain -> origin/sapling-pr-archive-tushar00jain
2025-11-03T16:15:02.5644443Z  * [new branch]              save                        -> origin/save
2025-11-03T16:15:02.5644579Z  * [new branch]              save_github_env_rocm        -> origin/save_github_env_rocm
2025-11-03T16:15:02.5649096Z  * [new branch]              sdpa-bs-zero                -> origin/sdpa-bs-zero
2025-11-03T16:15:02.5653766Z  * [new branch]              sdym/2.5.1                  -> origin/sdym/2.5.1
2025-11-03T16:15:02.5658064Z  * [new branch]              sekyondaMeta-dynamoconfig-fix -> origin/sekyondaMeta-dynamoconfig-fix
2025-11-03T16:15:02.5658300Z  * [new branch]              shengf/fx-xform-perf        -> origin/shengf/fx-xform-perf
2025-11-03T16:15:02.5658731Z  * [new branch]              shoumikhin-patch-1          -> origin/shoumikhin-patch-1
2025-11-03T16:15:02.5658889Z  * [new branch]              solve-accuracy-fix          -> origin/solve-accuracy-fix
2025-11-03T16:15:02.5659096Z  * [new branch]              soulitzer/reland-codev-grad-dtype -> origin/soulitzer/reland-codev-grad-dtype
2025-11-03T16:15:02.5659258Z  * [new branch]              soulitzer/stash-tls-ac      -> origin/soulitzer/stash-tls-ac
2025-11-03T16:15:02.5659436Z  * [new branch]              stablize-compilation-time   -> origin/stablize-compilation-time
2025-11-03T16:15:02.5659590Z  * [new branch]              starterTaskUpdate           -> origin/starterTaskUpdate
2025-11-03T16:15:02.5659708Z  * [new branch]              suo                         -> origin/suo
2025-11-03T16:15:02.5659996Z  * [new branch]              sve-poc                     -> origin/sve-poc
2025-11-03T16:15:02.5660110Z  * [new branch]              switch-bn                   -> origin/switch-bn
2025-11-03T16:15:02.5660265Z  * [new branch]              sympy-bottleneck-repro      -> origin/sympy-bottleneck-repro
2025-11-03T16:15:02.5660404Z  * [new branch]              tensordict_integration      -> origin/tensordict_integration
2025-11-03T16:15:02.5660551Z  * [new branch]              test-move-conda-builds      -> origin/test-move-conda-builds
2025-11-03T16:15:02.5660721Z  * [new branch]              test-myst-markdown-docstring -> origin/test-myst-markdown-docstring
2025-11-03T16:15:02.5660842Z  * [new branch]              test-old                    -> origin/test-old
2025-11-03T16:15:02.5661021Z  * [new branch]              test-vec-migration-internally -> origin/test-vec-migration-internally
2025-11-03T16:15:02.5661143Z  * [new branch]              test/bmm_heur               -> origin/test/bmm_heur
2025-11-03T16:15:02.5661275Z  * [new branch]              test/inductor               -> origin/test/inductor
2025-11-03T16:15:02.5663473Z  * [new branch]              tianren/customOp_autotune   -> origin/tianren/customOp_autotune
2025-11-03T16:15:02.5663726Z  * [new branch]              tianren/customOp_autotune_fix -> origin/tianren/customOp_autotune_fix
2025-11-03T16:15:02.5663936Z  * [new branch]              tianren/customOp_enable_max_autotune -> origin/tianren/customOp_enable_max_autotune
2025-11-03T16:15:02.5664211Z  * [new branch]              tianren/customOp_fusion     -> origin/tianren/customOp_fusion
2025-11-03T16:15:02.5664394Z  * [new branch]              tianren/flex_paged_attn_fix_temp -> origin/tianren/flex_paged_attn_fix_temp
2025-11-03T16:15:02.5664720Z  * [new branch]              tianren/remove_repeate      -> origin/tianren/remove_repeate
2025-11-03T16:15:02.5664874Z  * [new branch]              tianren/test                -> origin/tianren/test
2025-11-03T16:15:02.5668878Z  * [new branch]              tidy_performance_cyy        -> origin/tidy_performance_cyy
2025-11-03T16:15:02.5669247Z  * [new branch]              tmp                         -> origin/tmp
2025-11-03T16:15:02.5669379Z  * [new branch]              torchtitan_ep               -> origin/torchtitan_ep
2025-11-03T16:15:02.5669613Z  * [new branch]              trace_fsdp_torchtune_lora   -> origin/trace_fsdp_torchtune_lora
2025-11-03T16:15:02.5669774Z  * [new branch]              traceable_fsdp_unit_tests   -> origin/traceable_fsdp_unit_tests
2025-11-03T16:15:02.5669909Z  * [new branch]              tree_loop_vec_base          -> origin/tree_loop_vec_base
2025-11-03T16:15:02.5670027Z  * [new branch]              triton_kernel               -> origin/triton_kernel
2025-11-03T16:15:02.5670317Z  * [new branch]              trunk-tagging-multi-commits -> origin/trunk-tagging-multi-commits
2025-11-03T16:15:02.5672153Z  * [new branch]              tt_pkg_1908                 -> origin/tt_pkg_1908
2025-11-03T16:15:02.5672740Z  * [new branch]              type_dec                    -> origin/type_dec
2025-11-03T16:15:02.5672944Z  * [new branch]              udate-sphinx-dependancies   -> origin/udate-sphinx-dependancies
2025-11-03T16:15:02.5673186Z  * [new branch]              update-audio-commit-hash/17630256502-1803-1 -> origin/update-audio-commit-hash/17630256502-1803-1
2025-11-03T16:15:02.5673415Z  * [new branch]              update-audio-commit-hash/18392707270-1874-1 -> origin/update-audio-commit-hash/18392707270-1874-1
2025-11-03T16:15:02.5673628Z  * [new branch]              update-audio-commit-hash/18513819375-1881-1 -> origin/update-audio-commit-hash/18513819375-1881-1
2025-11-03T16:15:02.5674034Z  * [new branch]              update-audio-commit-hash/18607927372-1885-1 -> origin/update-audio-commit-hash/18607927372-1885-1
2025-11-03T16:15:02.5674363Z  * [new branch]              update-audio-commit-hash/18925946320-1900-1 -> origin/update-audio-commit-hash/18925946320-1900-1
2025-11-03T16:15:02.5674937Z  * [new branch]              update-executorch-commit-hash/15694981040-1626-1 -> origin/update-executorch-commit-hash/15694981040-1626-1
2025-11-03T16:15:02.5677221Z  * [new branch]              update-triton-commit-hash/13663274526-1487-2 -> origin/update-triton-commit-hash/13663274526-1487-2
2025-11-03T16:15:02.5677477Z  * [new branch]              update-vision-commit-hash/15336342773-1607-1 -> origin/update-vision-commit-hash/15336342773-1607-1
2025-11-03T16:15:02.5677712Z  * [new branch]              update-vision-commit-hash/18361653903-1869-1 -> origin/update-vision-commit-hash/18361653903-1869-1
2025-11-03T16:15:02.5678142Z  * [new branch]              update-vision-commit-hash/18513819375-1881-1 -> origin/update-vision-commit-hash/18513819375-1881-1
2025-11-03T16:15:02.5678963Z  * [new branch]              update-vision-commit-hash/18701484675-1891-1 -> origin/update-vision-commit-hash/18701484675-1891-1
2025-11-03T16:15:02.5679463Z  * [new branch]              update-vision-commit-hash/18860003792-1897-1 -> origin/update-vision-commit-hash/18860003792-1897-1
2025-11-03T16:15:02.5683910Z  * [new branch]              update-vision-commit-hash/18988459983-1903-1 -> origin/update-vision-commit-hash/18988459983-1903-1
2025-11-03T16:15:02.5684215Z  * [new branch]              update-vllm-commit-hash/18236802781-1857-1 -> origin/update-vllm-commit-hash/18236802781-1857-1
2025-11-03T16:15:02.5684444Z  * [new branch]              update-vllm-commit-hash/18451675449-1879-1 -> origin/update-vllm-commit-hash/18451675449-1879-1
2025-11-03T16:15:02.5684692Z  * [new branch]              update-xla-commit-hash/18273597034-206-1 -> origin/update-xla-commit-hash/18273597034-206-1
2025-11-03T16:15:02.5685147Z  * [new branch]              update-xla-commit-hash/18458620648-207-1 -> origin/update-xla-commit-hash/18458620648-207-1
2025-11-03T16:15:02.5685414Z  * [new branch]              update-xla-commit-hash/18645596657-208-1 -> origin/update-xla-commit-hash/18645596657-208-1
2025-11-03T16:15:02.5685647Z  * [new branch]              update-xla-commit-hash/19027297646-210-1 -> origin/update-xla-commit-hash/19027297646-210-1
2025-11-03T16:15:02.5685905Z  * [new branch]              update_docs_torch_multinomial_issue#125388 -> origin/update_docs_torch_multinomial_issue#125388
2025-11-03T16:15:02.5686824Z  * [new branch]              update_slow_tests_1722488736 -> origin/update_slow_tests_1722488736
2025-11-03T16:15:02.5687195Z  * [new branch]              update_slow_tests_1722879173 -> origin/update_slow_tests_1722879173
2025-11-03T16:15:02.5689327Z  * [new branch]              update_slow_tests_1759736444 -> origin/update_slow_tests_1759736444
2025-11-03T16:15:02.5689661Z  * [new branch]              update_slow_tests_1760341258 -> origin/update_slow_tests_1760341258
2025-11-03T16:15:02.5689922Z  * [new branch]              update_slow_tests_1760946059 -> origin/update_slow_tests_1760946059
2025-11-03T16:15:02.5690146Z  * [new branch]              update_slow_tests_1762155677 -> origin/update_slow_tests_1762155677
2025-11-03T16:15:02.5691027Z  * [new branch]              update_submodule_FBGEMM     -> origin/update_submodule_FBGEMM
2025-11-03T16:15:02.5697159Z  * [new branch]              update_submodule_kineto     -> origin/update_submodule_kineto
2025-11-03T16:15:02.5701461Z  * [new branch]              update_submodule_tensorpipe -> origin/update_submodule_tensorpipe
2025-11-03T16:15:02.5703488Z  * [new branch]              v0.1.2                      -> origin/v0.1.2
2025-11-03T16:15:02.5703741Z  * [new branch]              v1.0.1                      -> origin/v1.0.1
2025-11-03T16:15:02.5709112Z  * [new branch]              v1.0.3                      -> origin/v1.0.3
2025-11-03T16:15:02.5713156Z  * [new branch]              v1.1.0                      -> origin/v1.1.0
2025-11-03T16:15:02.5713455Z  * [new branch]              v1.2.0                      -> origin/v1.2.0
2025-11-03T16:15:02.5713589Z  * [new branch]              v1.3.0                      -> origin/v1.3.0
2025-11-03T16:15:02.5713692Z  * [new branch]              v1.3.1                      -> origin/v1.3.1
2025-11-03T16:15:02.5713977Z  * [new branch]              validate_fn                 -> origin/validate_fn
2025-11-03T16:15:02.5714227Z  * [new branch]              validations_2.6             -> origin/validations_2.6
2025-11-03T16:15:02.5714378Z  * [new branch]              validations_2.8             -> origin/validations_2.8
2025-11-03T16:15:02.5714499Z  * [new branch]              varlen-api                  -> origin/varlen-api
2025-11-03T16:15:02.5714635Z  * [new branch]              varlen-api-backup           -> origin/varlen-api-backup
2025-11-03T16:15:02.5714885Z  * [new branch]              viable/strict               -> origin/viable/strict
2025-11-03T16:15:02.5715085Z  * [new branch]              vishal9-team/dtensor_parallelism_toy -> origin/vishal9-team/dtensor_parallelism_toy
2025-11-03T16:15:02.5715226Z  * [new branch]              vllmbuildci                 -> origin/vllmbuildci
2025-11-03T16:15:02.5715691Z  * [new branch]              vllmpin                     -> origin/vllmpin
2025-11-03T16:15:02.5715855Z  * [new branch]              wdvr/iss_145259             -> origin/wdvr/iss_145259
2025-11-03T16:15:02.5715972Z  * [new branch]              whc/stage2                  -> origin/whc/stage2
2025-11-03T16:15:02.5716089Z  * [new branch]              whc/uneven                  -> origin/whc/uneven
2025-11-03T16:15:02.5716235Z  * [new branch]              whc/uneven-merge            -> origin/whc/uneven-merge
2025-11-03T16:15:02.5716361Z  * [new branch]              win_12_8_build              -> origin/win_12_8_build
2025-11-03T16:15:02.5716464Z  * [new branch]              win_ci                      -> origin/win_ci
2025-11-03T16:15:02.5716583Z  * [new branch]              win_warnings                -> origin/win_warnings
2025-11-03T16:15:02.5716877Z  * [new branch]              windows_libtorch_free       -> origin/windows_libtorch_free
2025-11-03T16:15:02.5717001Z  * [new branch]              windows_mmap                -> origin/windows_mmap
2025-11-03T16:15:02.5717129Z  * [new branch]              xmfan-war                   -> origin/xmfan-war
2025-11-03T16:15:02.5717242Z  * [new branch]              xmfan/ca_0516               -> origin/xmfan/ca_0516
2025-11-03T16:15:02.5717375Z  * [new branch]              xmfan/ca_1051b93192         -> origin/xmfan/ca_1051b93192
2025-11-03T16:15:02.5717620Z  * [new branch]              xmfan/ca_1a722f62c248391fc4a542e8851a5559aa356ae8 -> origin/xmfan/ca_1a722f62c248391fc4a542e8851a5559aa356ae8
2025-11-03T16:15:02.5717749Z  * [new branch]              xmfan/ca_5a2be192d1         -> origin/xmfan/ca_5a2be192d1
2025-11-03T16:15:02.5717880Z  * [new branch]              xmfan/ca_9d59b516e9         -> origin/xmfan/ca_9d59b516e9
2025-11-03T16:15:02.5717996Z  * [new branch]              xmfan/ca_api                -> origin/xmfan/ca_api
2025-11-03T16:15:02.5718121Z  * [new branch]              xmfan/ca_apr8               -> origin/xmfan/ca_apr8
2025-11-03T16:15:02.5718381Z  * [new branch]              xmfan/ca_base               -> origin/xmfan/ca_base
2025-11-03T16:15:02.5718875Z  * [new branch]              xmfan/ca_dynamic            -> origin/xmfan/ca_dynamic
2025-11-03T16:15:02.5719646Z  * [new branch]              xmfan/ca_fix_dyn            -> origin/xmfan/ca_fix_dyn
2025-11-03T16:15:02.5720283Z  * [new branch]              xmfan/ca_fix_lowering       -> origin/xmfan/ca_fix_lowering
2025-11-03T16:15:02.5721016Z  * [new branch]              xmfan/ca_fix_polyfills      -> origin/xmfan/ca_fix_polyfills
2025-11-03T16:15:02.5721308Z  * [new branch]              xmfan/ca_jan3               -> origin/xmfan/ca_jan3
2025-11-03T16:15:02.5722605Z  * [new branch]              xmfan/ca_jun18              -> origin/xmfan/ca_jun18
2025-11-03T16:15:02.5722742Z  * [new branch]              xmfan/ca_jun24              -> origin/xmfan/ca_jun24
2025-11-03T16:15:02.5724621Z  * [new branch]              xmfan/ca_nested             -> origin/xmfan/ca_nested
2025-11-03T16:15:02.5724932Z  * [new branch]              xmfan/ca_overhead           -> origin/xmfan/ca_overhead
2025-11-03T16:15:02.5725375Z  * [new branch]              xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451
2025-11-03T16:15:02.5725575Z  * [new branch]              xmfan/cacu_jun18            -> origin/xmfan/cacu_jun18
2025-11-03T16:15:02.5725728Z  * [new branch]              xmfan/cacu_jun19            -> origin/xmfan/cacu_jun19
2025-11-03T16:15:02.5726756Z  * [new branch]              xmfan/cacu_jun4             -> origin/xmfan/cacu_jun4
2025-11-03T16:15:02.5726910Z  * [new branch]              xmfan/cacu_may27            -> origin/xmfan/cacu_may27
2025-11-03T16:15:02.5729884Z  * [new branch]              xmfan/disable_duck_shape    -> origin/xmfan/disable_duck_shape
2025-11-03T16:15:02.5730095Z  * [new branch]              xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough
2025-11-03T16:15:02.5730364Z  * [new branch]              xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9
2025-11-03T16:15:02.5730634Z  * [new branch]              xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9
2025-11-03T16:15:02.5731031Z  * [new branch]              xmfan/single_step           -> origin/xmfan/single_step
2025-11-03T16:15:02.5731420Z  * [new branch]              xmfan/sth_0829              -> origin/xmfan/sth_0829
2025-11-03T16:15:02.5732297Z  * [new branch]              xmfan/test                  -> origin/xmfan/test
2025-11-03T16:15:02.5734687Z  * [new branch]              yguo/debug-0226-constexpr   -> origin/yguo/debug-0226-constexpr
2025-11-03T16:15:02.5734852Z  * [new branch]              yguo/new_latest_changes     -> origin/yguo/new_latest_changes
2025-11-03T16:15:02.5735157Z  * [new branch]              yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes
2025-11-03T16:15:02.5735313Z  * [new branch]              yihan_quantization          -> origin/yihan_quantization
2025-11-03T16:15:02.5735940Z  * [new branch]              yiming/add_timm_models      -> origin/yiming/add_timm_models
2025-11-03T16:15:02.5736744Z  * [new branch]              yiming/bootcamp             -> origin/yiming/bootcamp
2025-11-03T16:15:02.5737134Z  * [new branch]              yiming/fix_aot_joint_graph_capture_test -> origin/yiming/fix_aot_joint_graph_capture_test
2025-11-03T16:15:02.5738148Z  * [new branch]              yiming/flex_attention_export_with_kwargs -> origin/yiming/flex_attention_export_with_kwargs
2025-11-03T16:15:02.5740245Z  * [new branch]              yiming/improve_custom_op_stack_trace -> origin/yiming/improve_custom_op_stack_trace
2025-11-03T16:15:02.5740448Z  * [new branch]              yiming/improve_sharding_error_msg -> origin/yiming/improve_sharding_error_msg
2025-11-03T16:15:02.5740664Z  * [new branch]              yiming/moe_dtensor_region_annotation -> origin/yiming/moe_dtensor_region_annotation
2025-11-03T16:15:02.5740861Z  * [new branch]              yiming/precompile_benchmark -> origin/yiming/precompile_benchmark
2025-11-03T16:15:02.5742001Z  * [new branch]              yiming/remove_blockmask_pytree_global_registration -> origin/yiming/remove_blockmask_pytree_global_registration
2025-11-03T16:15:02.5742725Z  * [new branch]              yolo-llama3                 -> origin/yolo-llama3
2025-11-03T16:15:02.5746418Z  * [new branch]              yuxin/fix-save-memleak      -> origin/yuxin/fix-save-memleak
2025-11-03T16:15:02.5746579Z  * [new branch]              zainr/canary-test           -> origin/zainr/canary-test
2025-11-03T16:15:02.5746751Z  * [new branch]              zainr/cleanup-gh-runners    -> origin/zainr/cleanup-gh-runners
2025-11-03T16:15:02.5746908Z  * [new branch]              zainr/pull-migration-c      -> origin/zainr/pull-migration-c
2025-11-03T16:15:02.5747042Z  * [new branch]              zainr/test2                 -> origin/zainr/test2
2025-11-03T16:15:02.5747188Z  * [new branch]              zainr/unstable              -> origin/zainr/unstable
2025-11-03T16:15:02.5747863Z  * [new branch]              zasdfgbnm-patch-3           -> origin/zasdfgbnm-patch-3
2025-11-03T16:15:02.5748507Z  * [new branch]              zb2p                        -> origin/zb2p
2025-11-03T16:15:02.5749531Z  * [new branch]              zeros-and-scatter-part2     -> origin/zeros-and-scatter-part2
2025-11-03T16:15:02.5750867Z  * [new branch]              zhxchen17/aot_compile_fix_load_guard_manager -> origin/zhxchen17/aot_compile_fix_load_guard_manager
2025-11-03T16:15:02.5751040Z  * [new branch]              zhxchen17/ci/vllm_pin       -> origin/zhxchen17/ci/vllm_pin
2025-11-03T16:15:02.5755082Z  * [new branch]              zhxchen17/precompile/closure_serde -> origin/zhxchen17/precompile/closure_serde
2025-11-03T16:15:02.5755310Z  * [new branch]              zhxchen17/precompile/default_args -> origin/zhxchen17/precompile/default_args
2025-11-03T16:15:02.5755495Z  * [new branch]              zhxchen17/precompile/export -> origin/zhxchen17/precompile/export
2025-11-03T16:15:02.5755685Z  * [new branch]              zhxchen17/precompile/export_gm -> origin/zhxchen17/precompile/export_gm
2025-11-03T16:15:02.5755863Z  * [new branch]              zhxchen17/precompile_vllm_fix_0 -> origin/zhxchen17/precompile_vllm_fix_0
2025-11-03T16:15:02.5756011Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-11-03T16:15:02.5757432Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-11-03T16:15:02.5757955Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-11-03T16:15:02.5758816Z  * [new branch]              zxiiro/c7i-docs-build       -> origin/zxiiro/c7i-docs-build
2025-11-03T16:15:02.5764168Z  * [new branch]              zxiiro/c7i-linux-4xlarge    -> origin/zxiiro/c7i-linux-4xlarge
2025-11-03T16:15:02.5764507Z  * [new branch]              zxiiro/c7i-linux-build-yaml -> origin/zxiiro/c7i-linux-build-yaml
2025-11-03T16:15:02.5764658Z  * [new branch]              zxiiro/c7i-pull             -> origin/zxiiro/c7i-pull
2025-11-03T16:15:02.5764805Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-11-03T16:15:02.5764974Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-11-03T16:15:02.5765278Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-11-03T16:15:02.5765402Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-11-03T16:15:02.5765524Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-11-03T16:15:02.5765790Z  * [new tag]                 ciflow/b200/157553          -> ciflow/b200/157553
2025-11-03T16:15:02.5765922Z  * [new tag]                 ciflow/b200/157635          -> ciflow/b200/157635
2025-11-03T16:15:02.5766034Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-11-03T16:15:02.5766147Z  * [new tag]                 ciflow/b200/161404          -> ciflow/b200/161404
2025-11-03T16:15:02.5767232Z  * [new tag]                 ciflow/b200/163369          -> ciflow/b200/163369
2025-11-03T16:15:02.5767362Z  * [new tag]                 ciflow/b200/164657          -> ciflow/b200/164657
2025-11-03T16:15:02.5767811Z  * [new tag]                 ciflow/b200/164938          -> ciflow/b200/164938
2025-11-03T16:15:02.5769817Z  * [new tag]                 ciflow/b200/165132          -> ciflow/b200/165132
2025-11-03T16:15:02.5770101Z  * [new tag]                 ciflow/b200/165541          -> ciflow/b200/165541
2025-11-03T16:15:02.5770235Z  * [new tag]                 ciflow/b200/165548          -> ciflow/b200/165548
2025-11-03T16:15:02.5770416Z  * [new tag]                 ciflow/b200/165952          -> ciflow/b200/165952
2025-11-03T16:15:02.5770602Z  * [new tag]                 ciflow/b200/166250          -> ciflow/b200/166250
2025-11-03T16:15:02.5774416Z  * [new tag]                 ciflow/b200/166526          -> ciflow/b200/166526
2025-11-03T16:15:02.5774910Z  * [new tag]                 ciflow/b200/166744          -> ciflow/b200/166744
2025-11-03T16:15:02.5775038Z  * [new tag]                 ciflow/b200/166752          -> ciflow/b200/166752
2025-11-03T16:15:02.5775231Z  * [new tag]                 ciflow/b200/166834          -> ciflow/b200/166834
2025-11-03T16:15:02.5775468Z  * [new tag]                 ciflow/binaries/157432      -> ciflow/binaries/157432
2025-11-03T16:15:02.5775596Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-11-03T16:15:02.5775826Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-11-03T16:15:02.5775955Z  * [new tag]                 ciflow/binaries/166044      -> ciflow/binaries/166044
2025-11-03T16:15:02.5776077Z  * [new tag]                 ciflow/binaries/166621      -> ciflow/binaries/166621
2025-11-03T16:15:02.5776190Z  * [new tag]                 ciflow/binaries/166764      -> ciflow/binaries/166764
2025-11-03T16:15:02.5780201Z  * [new tag]                 ciflow/binaries/166818      -> ciflow/binaries/166818
2025-11-03T16:15:02.5782529Z  * [new tag]                 ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432
2025-11-03T16:15:02.5788281Z  * [new tag]                 ciflow/binaries_wheel/155731 -> ciflow/binaries_wheel/155731
2025-11-03T16:15:02.5790373Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-11-03T16:15:02.5790635Z  * [new tag]                 ciflow/binaries_wheel/166380 -> ciflow/binaries_wheel/166380
2025-11-03T16:15:02.5793964Z  * [new tag]                 ciflow/binaries_wheel/166407 -> ciflow/binaries_wheel/166407
2025-11-03T16:15:02.5794132Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-11-03T16:15:02.5794479Z  * [new tag]                 ciflow/h100-distributed/166367 -> ciflow/h100-distributed/166367
2025-11-03T16:15:02.5794624Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-11-03T16:15:02.5794777Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-11-03T16:15:02.5794910Z  * [new tag]                 ciflow/h100-symm-mem/163814 -> ciflow/h100-symm-mem/163814
2025-11-03T16:15:02.5795038Z  * [new tag]                 ciflow/h100-symm-mem/163815 -> ciflow/h100-symm-mem/163815
2025-11-03T16:15:02.5795173Z  * [new tag]                 ciflow/h100-symm-mem/165548 -> ciflow/h100-symm-mem/165548
2025-11-03T16:15:02.5795303Z  * [new tag]                 ciflow/h100-symm-mem/166772 -> ciflow/h100-symm-mem/166772
2025-11-03T16:15:02.5795440Z  * [new tag]                 ciflow/h100-symm-mem/166773 -> ciflow/h100-symm-mem/166773
2025-11-03T16:15:02.5795569Z  * [new tag]                 ciflow/h100-symm-mem/166774 -> ciflow/h100-symm-mem/166774
2025-11-03T16:15:02.5795685Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-11-03T16:15:02.5795804Z  * [new tag]                 ciflow/h100/157553          -> ciflow/h100/157553
2025-11-03T16:15:02.5795913Z  * [new tag]                 ciflow/h100/157635          -> ciflow/h100/157635
2025-11-03T16:15:02.5796027Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-11-03T16:15:02.5796129Z  * [new tag]                 ciflow/h100/161404          -> ciflow/h100/161404
2025-11-03T16:15:02.5796266Z  * [new tag]                 ciflow/h100/163369          -> ciflow/h100/163369
2025-11-03T16:15:02.5796371Z  * [new tag]                 ciflow/h100/164657          -> ciflow/h100/164657
2025-11-03T16:15:02.5796474Z  * [new tag]                 ciflow/h100/165029          -> ciflow/h100/165029
2025-11-03T16:15:02.5796586Z  * [new tag]                 ciflow/h100/165132          -> ciflow/h100/165132
2025-11-03T16:15:02.5796691Z  * [new tag]                 ciflow/h100/165541          -> ciflow/h100/165541
2025-11-03T16:15:02.5796800Z  * [new tag]                 ciflow/h100/165548          -> ciflow/h100/165548
2025-11-03T16:15:02.5796903Z  * [new tag]                 ciflow/h100/165952          -> ciflow/h100/165952
2025-11-03T16:15:02.5797052Z  * [new tag]                 ciflow/h100/166250          -> ciflow/h100/166250
2025-11-03T16:15:02.5797163Z  * [new tag]                 ciflow/h100/166515          -> ciflow/h100/166515
2025-11-03T16:15:02.5797266Z  * [new tag]                 ciflow/h100/166526          -> ciflow/h100/166526
2025-11-03T16:15:02.5797374Z  * [new tag]                 ciflow/h100/166744          -> ciflow/h100/166744
2025-11-03T16:15:02.5797476Z  * [new tag]                 ciflow/h100/166752          -> ciflow/h100/166752
2025-11-03T16:15:02.5797586Z  * [new tag]                 ciflow/h100/166834          -> ciflow/h100/166834
2025-11-03T16:15:02.5797784Z  * [new tag]                 ciflow/inductor-perf-compare/165029 -> ciflow/inductor-perf-compare/165029
2025-11-03T16:15:02.5798065Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/162053 -> ciflow/inductor-perf-test-nightly-rocm-mi300/162053
2025-11-03T16:15:02.5798472Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/162954 -> ciflow/inductor-perf-test-nightly-x86-zen/162954
2025-11-03T16:15:02.5798735Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164126 -> ciflow/inductor-perf-test-nightly-x86-zen/164126
2025-11-03T16:15:02.5798962Z  * [new tag]                 ciflow/inductor-perf-test-nightly/162053 -> ciflow/inductor-perf-test-nightly/162053
2025-11-03T16:15:02.5799173Z  * [new tag]                 ciflow/inductor-perf-test-nightly/165029 -> ciflow/inductor-perf-test-nightly/165029
2025-11-03T16:15:02.5799352Z  * [new tag]                 ciflow/inductor-periodic/165029 -> ciflow/inductor-periodic/165029
2025-11-03T16:15:02.5799563Z  * [new tag]                 ciflow/inductor-periodic/166743 -> ciflow/inductor-periodic/166743
2025-11-03T16:15:02.5803453Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-11-03T16:15:02.5805573Z  * [new tag]                 ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053
2025-11-03T16:15:02.5805759Z  * [new tag]                 ciflow/inductor-rocm/166515 -> ciflow/inductor-rocm/166515
2025-11-03T16:15:02.5805893Z  * [new tag]                 ciflow/inductor-rocm/166743 -> ciflow/inductor-rocm/166743
2025-11-03T16:15:02.5806027Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-11-03T16:15:02.5806147Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-11-03T16:15:02.5806272Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-11-03T16:15:02.5806391Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-11-03T16:15:02.5806511Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-11-03T16:15:02.5806634Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-11-03T16:15:02.5806748Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-11-03T16:15:02.5806871Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-11-03T16:15:02.5807015Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-11-03T16:15:02.5807138Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-11-03T16:15:02.5807257Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-11-03T16:15:02.5807368Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-11-03T16:15:02.5807485Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-11-03T16:15:02.5812377Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-11-03T16:15:02.5816790Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-11-03T16:15:02.5818551Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-11-03T16:15:02.5818859Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-11-03T16:15:02.5818974Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-11-03T16:15:02.5819097Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-11-03T16:15:02.5819213Z  * [new tag]                 ciflow/inductor/161246      -> ciflow/inductor/161246
2025-11-03T16:15:02.5819335Z  * [new tag]                 ciflow/inductor/161404      -> ciflow/inductor/161404
2025-11-03T16:15:02.5819450Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-11-03T16:15:02.5819579Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-11-03T16:15:02.5819692Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-11-03T16:15:02.5819804Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-11-03T16:15:02.5819928Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-11-03T16:15:02.5820041Z  * [new tag]                 ciflow/inductor/162053      -> ciflow/inductor/162053
2025-11-03T16:15:02.5820160Z  * [new tag]                 ciflow/inductor/162469      -> ciflow/inductor/162469
2025-11-03T16:15:02.5820271Z  * [new tag]                 ciflow/inductor/162709      -> ciflow/inductor/162709
2025-11-03T16:15:02.5820382Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-11-03T16:15:02.5820501Z  * [new tag]                 ciflow/inductor/162954      -> ciflow/inductor/162954
2025-11-03T16:15:02.5820610Z  * [new tag]                 ciflow/inductor/163249      -> ciflow/inductor/163249
2025-11-03T16:15:02.5820785Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-11-03T16:15:02.5820897Z  * [new tag]                 ciflow/inductor/163369      -> ciflow/inductor/163369
2025-11-03T16:15:02.5821018Z  * [new tag]                 ciflow/inductor/163490      -> ciflow/inductor/163490
2025-11-03T16:15:02.5821125Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-11-03T16:15:02.5821235Z  * [new tag]                 ciflow/inductor/163714      -> ciflow/inductor/163714
2025-11-03T16:15:02.5821355Z  * [new tag]                 ciflow/inductor/163936      -> ciflow/inductor/163936
2025-11-03T16:15:02.5821467Z  * [new tag]                 ciflow/inductor/164202      -> ciflow/inductor/164202
2025-11-03T16:15:02.5821584Z  * [new tag]                 ciflow/inductor/164384      -> ciflow/inductor/164384
2025-11-03T16:15:02.5821694Z  * [new tag]                 ciflow/inductor/164657      -> ciflow/inductor/164657
2025-11-03T16:15:02.5822551Z  * [new tag]                 ciflow/inductor/164938      -> ciflow/inductor/164938
2025-11-03T16:15:02.5822672Z  * [new tag]                 ciflow/inductor/164979      -> ciflow/inductor/164979
2025-11-03T16:15:02.5822785Z  * [new tag]                 ciflow/inductor/164980      -> ciflow/inductor/164980
2025-11-03T16:15:02.5822903Z  * [new tag]                 ciflow/inductor/165005      -> ciflow/inductor/165005
2025-11-03T16:15:02.5823012Z  * [new tag]                 ciflow/inductor/165029      -> ciflow/inductor/165029
2025-11-03T16:15:02.5823129Z  * [new tag]                 ciflow/inductor/165092      -> ciflow/inductor/165092
2025-11-03T16:15:02.5823240Z  * [new tag]                 ciflow/inductor/165132      -> ciflow/inductor/165132
2025-11-03T16:15:02.5823357Z  * [new tag]                 ciflow/inductor/165197      -> ciflow/inductor/165197
2025-11-03T16:15:02.5823469Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-11-03T16:15:02.5827804Z  * [new tag]                 ciflow/inductor/165283      -> ciflow/inductor/165283
2025-11-03T16:15:02.5829938Z  * [new tag]                 ciflow/inductor/165284      -> ciflow/inductor/165284
2025-11-03T16:15:02.5830330Z  * [new tag]                 ciflow/inductor/165367      -> ciflow/inductor/165367
2025-11-03T16:15:02.5834702Z  * [new tag]                 ciflow/inductor/165423      -> ciflow/inductor/165423
2025-11-03T16:15:02.5839081Z  * [new tag]                 ciflow/inductor/165487      -> ciflow/inductor/165487
2025-11-03T16:15:02.5842643Z  * [new tag]                 ciflow/inductor/165541      -> ciflow/inductor/165541
2025-11-03T16:15:02.5845109Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-11-03T16:15:02.5845253Z  * [new tag]                 ciflow/inductor/165686      -> ciflow/inductor/165686
2025-11-03T16:15:02.5845370Z  * [new tag]                 ciflow/inductor/165790      -> ciflow/inductor/165790
2025-11-03T16:15:02.5845504Z  * [new tag]                 ciflow/inductor/165824      -> ciflow/inductor/165824
2025-11-03T16:15:02.5845618Z  * [new tag]                 ciflow/inductor/165856      -> ciflow/inductor/165856
2025-11-03T16:15:02.5845729Z  * [new tag]                 ciflow/inductor/165885      -> ciflow/inductor/165885
2025-11-03T16:15:02.5845855Z  * [new tag]                 ciflow/inductor/165952      -> ciflow/inductor/165952
2025-11-03T16:15:02.5845965Z  * [new tag]                 ciflow/inductor/165953      -> ciflow/inductor/165953
2025-11-03T16:15:02.5846083Z  * [new tag]                 ciflow/inductor/166071      -> ciflow/inductor/166071
2025-11-03T16:15:02.5846191Z  * [new tag]                 ciflow/inductor/166083      -> ciflow/inductor/166083
2025-11-03T16:15:02.5846300Z  * [new tag]                 ciflow/inductor/166170      -> ciflow/inductor/166170
2025-11-03T16:15:02.5846420Z  * [new tag]                 ciflow/inductor/166198      -> ciflow/inductor/166198
2025-11-03T16:15:02.5846657Z  * [new tag]                 ciflow/inductor/166225      -> ciflow/inductor/166225
2025-11-03T16:15:02.5846785Z  * [new tag]                 ciflow/inductor/166236      -> ciflow/inductor/166236
2025-11-03T16:15:02.5846898Z  * [new tag]                 ciflow/inductor/166250      -> ciflow/inductor/166250
2025-11-03T16:15:02.5847025Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-11-03T16:15:02.5851414Z  * [new tag]                 ciflow/inductor/166276      -> ciflow/inductor/166276
2025-11-03T16:15:02.5851703Z  * [new tag]                 ciflow/inductor/166294      -> ciflow/inductor/166294
2025-11-03T16:15:02.5851847Z  * [new tag]                 ciflow/inductor/166300      -> ciflow/inductor/166300
2025-11-03T16:15:02.5851961Z  * [new tag]                 ciflow/inductor/166320      -> ciflow/inductor/166320
2025-11-03T16:15:02.5852145Z  * [new tag]                 ciflow/inductor/166321      -> ciflow/inductor/166321
2025-11-03T16:15:02.5857099Z  * [new tag]                 ciflow/inductor/166337      -> ciflow/inductor/166337
2025-11-03T16:15:02.5859159Z  * [new tag]                 ciflow/inductor/166341      -> ciflow/inductor/166341
2025-11-03T16:15:02.5859391Z  * [new tag]                 ciflow/inductor/166354      -> ciflow/inductor/166354
2025-11-03T16:15:02.5862613Z  * [new tag]                 ciflow/inductor/166355      -> ciflow/inductor/166355
2025-11-03T16:15:02.5862849Z  * [new tag]                 ciflow/inductor/166361      -> ciflow/inductor/166361
2025-11-03T16:15:02.5868458Z  * [new tag]                 ciflow/inductor/166366      -> ciflow/inductor/166366
2025-11-03T16:15:02.5870486Z  * [new tag]                 ciflow/inductor/166367      -> ciflow/inductor/166367
2025-11-03T16:15:02.5870785Z  * [new tag]                 ciflow/inductor/166370      -> ciflow/inductor/166370
2025-11-03T16:15:02.5870923Z  * [new tag]                 ciflow/inductor/166371      -> ciflow/inductor/166371
2025-11-03T16:15:02.5871136Z  * [new tag]                 ciflow/inductor/166372      -> ciflow/inductor/166372
2025-11-03T16:15:02.5871273Z  * [new tag]                 ciflow/inductor/166377      -> ciflow/inductor/166377
2025-11-03T16:15:02.5871398Z  * [new tag]                 ciflow/inductor/166400      -> ciflow/inductor/166400
2025-11-03T16:15:02.5871712Z  * [new tag]                 ciflow/inductor/166402      -> ciflow/inductor/166402
2025-11-03T16:15:02.5871835Z  * [new tag]                 ciflow/inductor/166417      -> ciflow/inductor/166417
2025-11-03T16:15:02.5872093Z  * [new tag]                 ciflow/inductor/166433      -> ciflow/inductor/166433
2025-11-03T16:15:02.5872708Z  * [new tag]                 ciflow/inductor/166442      -> ciflow/inductor/166442
2025-11-03T16:15:02.5873036Z  * [new tag]                 ciflow/inductor/166467      -> ciflow/inductor/166467
2025-11-03T16:15:02.5873185Z  * [new tag]                 ciflow/inductor/166479      -> ciflow/inductor/166479
2025-11-03T16:15:02.5873305Z  * [new tag]                 ciflow/inductor/166482      -> ciflow/inductor/166482
2025-11-03T16:15:02.5873577Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-11-03T16:15:02.5873763Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-11-03T16:15:02.5874390Z  * [new tag]                 ciflow/inductor/166498      -> ciflow/inductor/166498
2025-11-03T16:15:02.5874536Z  * [new tag]                 ciflow/inductor/166499      -> ciflow/inductor/166499
2025-11-03T16:15:02.5874675Z  * [new tag]                 ciflow/inductor/166515      -> ciflow/inductor/166515
2025-11-03T16:15:02.5874792Z  * [new tag]                 ciflow/inductor/166536      -> ciflow/inductor/166536
2025-11-03T16:15:02.5874907Z  * [new tag]                 ciflow/inductor/166540      -> ciflow/inductor/166540
2025-11-03T16:15:02.5875070Z  * [new tag]                 ciflow/inductor/166541      -> ciflow/inductor/166541
2025-11-03T16:15:02.5875187Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-11-03T16:15:02.5875517Z  * [new tag]                 ciflow/inductor/166581      -> ciflow/inductor/166581
2025-11-03T16:15:02.5875638Z  * [new tag]                 ciflow/inductor/166584      -> ciflow/inductor/166584
2025-11-03T16:15:02.5875771Z  * [new tag]                 ciflow/inductor/166593      -> ciflow/inductor/166593
2025-11-03T16:15:02.5875883Z  * [new tag]                 ciflow/inductor/166600      -> ciflow/inductor/166600
2025-11-03T16:15:02.5875993Z  * [new tag]                 ciflow/inductor/166608      -> ciflow/inductor/166608
2025-11-03T16:15:02.5876112Z  * [new tag]                 ciflow/inductor/166610      -> ciflow/inductor/166610
2025-11-03T16:15:02.5876222Z  * [new tag]                 ciflow/inductor/166629      -> ciflow/inductor/166629
2025-11-03T16:15:02.5876337Z  * [new tag]                 ciflow/inductor/166640      -> ciflow/inductor/166640
2025-11-03T16:15:02.5876445Z  * [new tag]                 ciflow/inductor/166648      -> ciflow/inductor/166648
2025-11-03T16:15:02.5876563Z  * [new tag]                 ciflow/inductor/166658      -> ciflow/inductor/166658
2025-11-03T16:15:02.5876673Z  * [new tag]                 ciflow/inductor/166659      -> ciflow/inductor/166659
2025-11-03T16:15:02.5876791Z  * [new tag]                 ciflow/inductor/166662      -> ciflow/inductor/166662
2025-11-03T16:15:02.5876910Z  * [new tag]                 ciflow/inductor/166663      -> ciflow/inductor/166663
2025-11-03T16:15:02.5877071Z  * [new tag]                 ciflow/inductor/166664      -> ciflow/inductor/166664
2025-11-03T16:15:02.5877194Z  * [new tag]                 ciflow/inductor/166669      -> ciflow/inductor/166669
2025-11-03T16:15:02.5877305Z  * [new tag]                 ciflow/inductor/166673      -> ciflow/inductor/166673
2025-11-03T16:15:02.5877420Z  * [new tag]                 ciflow/inductor/166674      -> ciflow/inductor/166674
2025-11-03T16:15:02.5877530Z  * [new tag]                 ciflow/inductor/166676      -> ciflow/inductor/166676
2025-11-03T16:15:02.5877646Z  * [new tag]                 ciflow/inductor/166679      -> ciflow/inductor/166679
2025-11-03T16:15:02.5877766Z  * [new tag]                 ciflow/inductor/166701      -> ciflow/inductor/166701
2025-11-03T16:15:02.5877880Z  * [new tag]                 ciflow/inductor/166720      -> ciflow/inductor/166720
2025-11-03T16:15:02.5878105Z  * [new tag]                 ciflow/inductor/166738      -> ciflow/inductor/166738
2025-11-03T16:15:02.5878294Z  * [new tag]                 ciflow/inductor/166740      -> ciflow/inductor/166740
2025-11-03T16:15:02.5878414Z  * [new tag]                 ciflow/inductor/166741      -> ciflow/inductor/166741
2025-11-03T16:15:02.5878536Z  * [new tag]                 ciflow/inductor/166745      -> ciflow/inductor/166745
2025-11-03T16:15:02.5878671Z  * [new tag]                 ciflow/inductor/166747      -> ciflow/inductor/166747
2025-11-03T16:15:02.5878791Z  * [new tag]                 ciflow/inductor/166757      -> ciflow/inductor/166757
2025-11-03T16:15:02.5878910Z  * [new tag]                 ciflow/inductor/166762      -> ciflow/inductor/166762
2025-11-03T16:15:02.5879034Z  * [new tag]                 ciflow/inductor/166775      -> ciflow/inductor/166775
2025-11-03T16:15:02.5879149Z  * [new tag]                 ciflow/inductor/166776      -> ciflow/inductor/166776
2025-11-03T16:15:02.5879267Z  * [new tag]                 ciflow/inductor/166777      -> ciflow/inductor/166777
2025-11-03T16:15:02.5879419Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-11-03T16:15:02.5879535Z  * [new tag]                 ciflow/inductor/166791      -> ciflow/inductor/166791
2025-11-03T16:15:02.5879659Z  * [new tag]                 ciflow/inductor/166793      -> ciflow/inductor/166793
2025-11-03T16:15:02.5879774Z  * [new tag]                 ciflow/inductor/166803      -> ciflow/inductor/166803
2025-11-03T16:15:02.5879890Z  * [new tag]                 ciflow/inductor/166808      -> ciflow/inductor/166808
2025-11-03T16:15:02.5880058Z  * [new tag]                 ciflow/inductor/166822      -> ciflow/inductor/166822
2025-11-03T16:15:02.5880176Z  * [new tag]                 ciflow/inductor/166834      -> ciflow/inductor/166834
2025-11-03T16:15:02.5880298Z  * [new tag]                 ciflow/inductor/166839      -> ciflow/inductor/166839
2025-11-03T16:15:02.5880418Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-11-03T16:15:02.5880542Z  * [new tag]                 ciflow/inductor/166855      -> ciflow/inductor/166855
2025-11-03T16:15:02.5880659Z  * [new tag]                 ciflow/inductor/166867      -> ciflow/inductor/166867
2025-11-03T16:15:02.5880773Z  * [new tag]                 ciflow/inductor/166868      -> ciflow/inductor/166868
2025-11-03T16:15:02.5880905Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-11-03T16:15:02.5881032Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-11-03T16:15:02.5881178Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-11-03T16:15:02.5881333Z  * [new tag]                 ciflow/linux-aarch64/166380 -> ciflow/linux-aarch64/166380
2025-11-03T16:15:02.5881471Z  * [new tag]                 ciflow/linux-aarch64/166441 -> ciflow/linux-aarch64/166441
2025-11-03T16:15:02.5881602Z  * [new tag]                 ciflow/linux-aarch64/166549 -> ciflow/linux-aarch64/166549
2025-11-03T16:15:02.5881726Z  * [new tag]                 ciflow/linux-aarch64/166640 -> ciflow/linux-aarch64/166640
2025-11-03T16:15:02.5881859Z  * [new tag]                 ciflow/linux-aarch64/166691 -> ciflow/linux-aarch64/166691
2025-11-03T16:15:02.5881982Z  * [new tag]                 ciflow/linux-aarch64/166849 -> ciflow/linux-aarch64/166849
2025-11-03T16:15:02.5882102Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-11-03T16:15:02.5882208Z  * [new tag]                 ciflow/mps/157554           -> ciflow/mps/157554
2025-11-03T16:15:02.5882311Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-11-03T16:15:02.5882420Z  * [new tag]                 ciflow/mps/165952           -> ciflow/mps/165952
2025-11-03T16:15:02.5882522Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-11-03T16:15:02.5882679Z  * [new tag]                 ciflow/mps/166273           -> ciflow/mps/166273
2025-11-03T16:15:02.5882775Z  * [new tag]                 ciflow/mps/166396           -> ciflow/mps/166396
2025-11-03T16:15:02.5882882Z  * [new tag]                 ciflow/mps/166615           -> ciflow/mps/166615
2025-11-03T16:15:02.5882980Z  * [new tag]                 ciflow/mps/166687           -> ciflow/mps/166687
2025-11-03T16:15:02.5883078Z  * [new tag]                 ciflow/mps/166712           -> ciflow/mps/166712
2025-11-03T16:15:02.5883186Z  * [new tag]                 ciflow/mps/166818           -> ciflow/mps/166818
2025-11-03T16:15:02.5883303Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-11-03T16:15:02.5883425Z  * [new tag]                 ciflow/nightly/166727       -> ciflow/nightly/166727
2025-11-03T16:15:02.5883552Z  * [new tag]                 ciflow/op-benchmark/165915  -> ciflow/op-benchmark/165915
2025-11-03T16:15:02.5883688Z  * [new tag]                 ciflow/op-benchmark/166331  -> ciflow/op-benchmark/166331
2025-11-03T16:15:02.5883813Z  * [new tag]                 ciflow/op-benchmark/166640  -> ciflow/op-benchmark/166640
2025-11-03T16:15:02.5883933Z  * [new tag]                 ciflow/op-benchmark/166652  -> ciflow/op-benchmark/166652
2025-11-03T16:15:02.5884061Z  * [new tag]                 ciflow/op-benchmark/166731  -> ciflow/op-benchmark/166731
2025-11-03T16:15:02.5884236Z  * [new tag]                 ciflow/periodic-rocm-mi200/166743 -> ciflow/periodic-rocm-mi200/166743
2025-11-03T16:15:02.5884587Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-11-03T16:15:02.5884825Z  * [new tag]                 ciflow/periodic-rocm-mi300/166743 -> ciflow/periodic-rocm-mi300/166743
2025-11-03T16:15:02.5885492Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-11-03T16:15:02.5888008Z  * [new tag]                 ciflow/periodic/06e71c85583d9857f716b441eef9db40d3f27a39 -> ciflow/periodic/06e71c85583d9857f716b441eef9db40d3f27a39
2025-11-03T16:15:02.5888350Z  * [new tag]                 ciflow/periodic/0e46a10aa7cf69354a0a0cbd268506b53a7cc882 -> ciflow/periodic/0e46a10aa7cf69354a0a0cbd268506b53a7cc882
2025-11-03T16:15:02.5888485Z  * [new tag]                 ciflow/periodic/163490      -> ciflow/periodic/163490
2025-11-03T16:15:02.5888618Z  * [new tag]                 ciflow/periodic/164202      -> ciflow/periodic/164202
2025-11-03T16:15:02.5888733Z  * [new tag]                 ciflow/periodic/164938      -> ciflow/periodic/164938
2025-11-03T16:15:02.5889009Z  * [new tag]                 ciflow/periodic/165885      -> ciflow/periodic/165885
2025-11-03T16:15:02.5893451Z  * [new tag]                 ciflow/periodic/166517      -> ciflow/periodic/166517
2025-11-03T16:15:02.5893884Z  * [new tag]                 ciflow/periodic/1e836bc769f9cfabc7659a172b8c2edee7c375d3 -> ciflow/periodic/1e836bc769f9cfabc7659a172b8c2edee7c375d3
2025-11-03T16:15:02.5898888Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-11-03T16:15:02.5900602Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-11-03T16:15:02.5900864Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-11-03T16:15:02.5906971Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-11-03T16:15:02.5909162Z  * [new tag]                 ciflow/periodic/687c15c0b3f01118536413d21efcd052838fa10d -> ciflow/periodic/687c15c0b3f01118536413d21efcd052838fa10d
2025-11-03T16:15:02.5909575Z  * [new tag]                 ciflow/periodic/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a -> ciflow/periodic/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a
2025-11-03T16:15:02.5914643Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-11-03T16:15:02.5915109Z  * [new tag]                 ciflow/periodic/96b61844a722d2ae8b1a2dc283a6c0060b40782e -> ciflow/periodic/96b61844a722d2ae8b1a2dc283a6c0060b40782e
2025-11-03T16:15:02.5915687Z  * [new tag]                 ciflow/periodic/be283297100ab86123e74b7a8372995d32b140c8 -> ciflow/periodic/be283297100ab86123e74b7a8372995d32b140c8
2025-11-03T16:15:02.5916094Z  * [new tag]                 ciflow/periodic/bfc2050db975e589795cd3eceaed2e83bf89ad35 -> ciflow/periodic/bfc2050db975e589795cd3eceaed2e83bf89ad35
2025-11-03T16:15:02.5916385Z  * [new tag]                 ciflow/periodic/c5701d0ab5f55b23243dd437f57e856970c45bb6 -> ciflow/periodic/c5701d0ab5f55b23243dd437f57e856970c45bb6
2025-11-03T16:15:02.5916687Z  * [new tag]                 ciflow/periodic/cde81e92b95eee9af2879c9c75f7b03699ca72ad -> ciflow/periodic/cde81e92b95eee9af2879c9c75f7b03699ca72ad
2025-11-03T16:15:02.5916852Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-11-03T16:15:02.5917000Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-11-03T16:15:02.5917147Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-11-03T16:15:02.5917289Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-11-03T16:15:02.5917446Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-11-03T16:15:02.5917580Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-11-03T16:15:02.5917693Z  * [new tag]                 ciflow/pull/166321          -> ciflow/pull/166321
2025-11-03T16:15:02.5917813Z  * [new tag]                 ciflow/pull/166768          -> ciflow/pull/166768
2025-11-03T16:15:02.5918078Z  * [new tag]                 ciflow/pull/18f425962656f009e151944d12f76e2f856b85df -> ciflow/pull/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:15:02.5918571Z  * [new tag]                 ciflow/pull/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> ciflow/pull/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:15:02.5918873Z  * [new tag]                 ciflow/pull/79aee77381b21d41c77148e5ff84c4b351aaf144 -> ciflow/pull/79aee77381b21d41c77148e5ff84c4b351aaf144
2025-11-03T16:15:02.5919164Z  * [new tag]                 ciflow/pull/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> ciflow/pull/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:15:02.5919450Z  * [new tag]                 ciflow/pull/cee03634dab2dbf259d84bc389bdea80de0f80ac -> ciflow/pull/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:15:02.5919732Z  * [new tag]                 ciflow/pull/d962bed15798961ffd10e64068f86a2cec411ffb -> ciflow/pull/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:15:02.5920058Z  * [new tag]                 ciflow/pull/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> ciflow/pull/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:15:02.5920317Z  * [new tag]                 ciflow/pull/f013e804c876a34cbc86a6a475597e3e29812883 -> ciflow/pull/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:15:02.5920570Z  * [new tag]                 ciflow/pull/f5cb9a4c68d9271c58ef4d3257210984b8e85099 -> ciflow/pull/f5cb9a4c68d9271c58ef4d3257210984b8e85099
2025-11-03T16:15:02.5920700Z  * [new tag]                 ciflow/rocm-mi300/162053    -> ciflow/rocm-mi300/162053
2025-11-03T16:15:02.5920825Z  * [new tag]                 ciflow/rocm-mi300/165548    -> ciflow/rocm-mi300/165548
2025-11-03T16:15:02.5920938Z  * [new tag]                 ciflow/rocm-mi300/166317    -> ciflow/rocm-mi300/166317
2025-11-03T16:15:02.5921056Z  * [new tag]                 ciflow/rocm-mi300/166743    -> ciflow/rocm-mi300/166743
2025-11-03T16:15:02.5921167Z  * [new tag]                 ciflow/rocm-mi355/162053    -> ciflow/rocm-mi355/162053
2025-11-03T16:15:02.5921280Z  * [new tag]                 ciflow/rocm-mi355/166743    -> ciflow/rocm-mi355/166743
2025-11-03T16:15:02.5921397Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-11-03T16:15:02.5921501Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-11-03T16:15:02.5921672Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-11-03T16:15:02.5921776Z  * [new tag]                 ciflow/rocm/157553          -> ciflow/rocm/157553
2025-11-03T16:15:02.5921888Z  * [new tag]                 ciflow/rocm/157635          -> ciflow/rocm/157635
2025-11-03T16:15:02.5921991Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-11-03T16:15:02.5922093Z  * [new tag]                 ciflow/rocm/161404          -> ciflow/rocm/161404
2025-11-03T16:15:02.5922204Z  * [new tag]                 ciflow/rocm/162053          -> ciflow/rocm/162053
2025-11-03T16:15:02.5922307Z  * [new tag]                 ciflow/rocm/163369          -> ciflow/rocm/163369
2025-11-03T16:15:02.5922420Z  * [new tag]                 ciflow/rocm/164657          -> ciflow/rocm/164657
2025-11-03T16:15:02.5922521Z  * [new tag]                 ciflow/rocm/165132          -> ciflow/rocm/165132
2025-11-03T16:15:02.5922624Z  * [new tag]                 ciflow/rocm/165541          -> ciflow/rocm/165541
2025-11-03T16:15:02.5922737Z  * [new tag]                 ciflow/rocm/165548          -> ciflow/rocm/165548
2025-11-03T16:15:02.5922839Z  * [new tag]                 ciflow/rocm/165952          -> ciflow/rocm/165952
2025-11-03T16:15:02.5922948Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-11-03T16:15:02.5923049Z  * [new tag]                 ciflow/rocm/166250          -> ciflow/rocm/166250
2025-11-03T16:15:02.5923159Z  * [new tag]                 ciflow/rocm/166317          -> ciflow/rocm/166317
2025-11-03T16:15:02.5923261Z  * [new tag]                 ciflow/rocm/166377          -> ciflow/rocm/166377
2025-11-03T16:15:02.5923364Z  * [new tag]                 ciflow/rocm/166391          -> ciflow/rocm/166391
2025-11-03T16:15:02.5923514Z  * [new tag]                 ciflow/rocm/166515          -> ciflow/rocm/166515
2025-11-03T16:15:02.5923619Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-11-03T16:15:02.5923729Z  * [new tag]                 ciflow/rocm/166526          -> ciflow/rocm/166526
2025-11-03T16:15:02.5923828Z  * [new tag]                 ciflow/rocm/166743          -> ciflow/rocm/166743
2025-11-03T16:15:02.5923929Z  * [new tag]                 ciflow/rocm/166744          -> ciflow/rocm/166744
2025-11-03T16:15:02.5924043Z  * [new tag]                 ciflow/rocm/166752          -> ciflow/rocm/166752
2025-11-03T16:15:02.5924144Z  * [new tag]                 ciflow/rocm/166764          -> ciflow/rocm/166764
2025-11-03T16:15:02.5924253Z  * [new tag]                 ciflow/rocm/166834          -> ciflow/rocm/166834
2025-11-03T16:15:02.5924366Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-11-03T16:15:02.5924493Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-11-03T16:15:02.5924783Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-11-03T16:15:02.5924893Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-11-03T16:15:02.5924999Z  * [new tag]                 ciflow/slow/166844          -> ciflow/slow/166844
2025-11-03T16:15:02.5925100Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-11-03T16:15:02.5925213Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-11-03T16:15:02.5925469Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-11-03T16:15:02.5925598Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-11-03T16:15:02.5925888Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-11-03T16:15:02.5926942Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-11-03T16:15:02.5927388Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-11-03T16:15:02.5927614Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-11-03T16:15:02.5929107Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-11-03T16:15:02.5929362Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-11-03T16:15:02.5929483Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-11-03T16:15:02.5929907Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-11-03T16:15:02.5931200Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-11-03T16:15:02.5931479Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-11-03T16:15:02.5932011Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-11-03T16:15:02.5933787Z  * [new tag]                 ciflow/trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12 -> ciflow/trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12
2025-11-03T16:15:02.5934251Z  * [new tag]                 ciflow/trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445 -> ciflow/trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445
2025-11-03T16:15:02.5934513Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-11-03T16:15:02.5934654Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-11-03T16:15:02.5934840Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-11-03T16:15:02.5935109Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-11-03T16:15:02.5935790Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-11-03T16:15:02.5936404Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-11-03T16:15:02.5936999Z  * [new tag]                 ciflow/trunk/155731         -> ciflow/trunk/155731
2025-11-03T16:15:02.5937213Z  * [new tag]                 ciflow/trunk/156812         -> ciflow/trunk/156812
2025-11-03T16:15:02.5937533Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-11-03T16:15:02.5937978Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-11-03T16:15:02.5939983Z  * [new tag]                 ciflow/trunk/160417         -> ciflow/trunk/160417
2025-11-03T16:15:02.5940272Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-11-03T16:15:02.5940397Z  * [new tag]                 ciflow/trunk/161771         -> ciflow/trunk/161771
2025-11-03T16:15:02.5940515Z  * [new tag]                 ciflow/trunk/162053         -> ciflow/trunk/162053
2025-11-03T16:15:02.5940766Z  * [new tag]                 ciflow/trunk/162454         -> ciflow/trunk/162454
2025-11-03T16:15:02.5940895Z  * [new tag]                 ciflow/trunk/162564         -> ciflow/trunk/162564
2025-11-03T16:15:02.5942032Z  * [new tag]                 ciflow/trunk/162709         -> ciflow/trunk/162709
2025-11-03T16:15:02.5942330Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-11-03T16:15:02.5942456Z  * [new tag]                 ciflow/trunk/163249         -> ciflow/trunk/163249
2025-11-03T16:15:02.5946947Z  * [new tag]                 ciflow/trunk/163490         -> ciflow/trunk/163490
2025-11-03T16:15:02.5947175Z  * [new tag]                 ciflow/trunk/164202         -> ciflow/trunk/164202
2025-11-03T16:15:02.5952779Z  * [new tag]                 ciflow/trunk/164938         -> ciflow/trunk/164938
2025-11-03T16:15:02.5953058Z  * [new tag]                 ciflow/trunk/164979         -> ciflow/trunk/164979
2025-11-03T16:15:02.5953208Z  * [new tag]                 ciflow/trunk/164980         -> ciflow/trunk/164980
2025-11-03T16:15:02.5953313Z  * [new tag]                 ciflow/trunk/165029         -> ciflow/trunk/165029
2025-11-03T16:15:02.5953539Z  * [new tag]                 ciflow/trunk/165049         -> ciflow/trunk/165049
2025-11-03T16:15:02.5953898Z  * [new tag]                 ciflow/trunk/165067         -> ciflow/trunk/165067
2025-11-03T16:15:02.5954018Z  * [new tag]                 ciflow/trunk/165132         -> ciflow/trunk/165132
2025-11-03T16:15:02.5954130Z  * [new tag]                 ciflow/trunk/165216         -> ciflow/trunk/165216
2025-11-03T16:15:02.5954352Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-11-03T16:15:02.5954934Z  * [new tag]                 ciflow/trunk/165431         -> ciflow/trunk/165431
2025-11-03T16:15:02.5955093Z  * [new tag]                 ciflow/trunk/165548         -> ciflow/trunk/165548
2025-11-03T16:15:02.5955203Z  * [new tag]                 ciflow/trunk/165642         -> ciflow/trunk/165642
2025-11-03T16:15:02.5955332Z  * [new tag]                 ciflow/trunk/165646         -> ciflow/trunk/165646
2025-11-03T16:15:02.5955439Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-11-03T16:15:02.5955573Z  * [new tag]                 ciflow/trunk/165824         -> ciflow/trunk/165824
2025-11-03T16:15:02.5955686Z  * [new tag]                 ciflow/trunk/165885         -> ciflow/trunk/165885
2025-11-03T16:15:02.5955793Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-11-03T16:15:02.5955906Z  * [new tag]                 ciflow/trunk/165972         -> ciflow/trunk/165972
2025-11-03T16:15:02.5956008Z  * [new tag]                 ciflow/trunk/166010         -> ciflow/trunk/166010
2025-11-03T16:15:02.5956109Z  * [new tag]                 ciflow/trunk/166071         -> ciflow/trunk/166071
2025-11-03T16:15:02.5956219Z  * [new tag]                 ciflow/trunk/166160         -> ciflow/trunk/166160
2025-11-03T16:15:02.5956529Z  * [new tag]                 ciflow/trunk/166170         -> ciflow/trunk/166170
2025-11-03T16:15:02.5956649Z  * [new tag]                 ciflow/trunk/166198         -> ciflow/trunk/166198
2025-11-03T16:15:02.5956753Z  * [new tag]                 ciflow/trunk/166294         -> ciflow/trunk/166294
2025-11-03T16:15:02.5956865Z  * [new tag]                 ciflow/trunk/166299         -> ciflow/trunk/166299
2025-11-03T16:15:02.5956965Z  * [new tag]                 ciflow/trunk/166317         -> ciflow/trunk/166317
2025-11-03T16:15:02.5957069Z  * [new tag]                 ciflow/trunk/166321         -> ciflow/trunk/166321
2025-11-03T16:15:02.5957191Z  * [new tag]                 ciflow/trunk/166361         -> ciflow/trunk/166361
2025-11-03T16:15:02.5957293Z  * [new tag]                 ciflow/trunk/166367         -> ciflow/trunk/166367
2025-11-03T16:15:02.5957401Z  * [new tag]                 ciflow/trunk/166376         -> ciflow/trunk/166376
2025-11-03T16:15:02.5957505Z  * [new tag]                 ciflow/trunk/166379         -> ciflow/trunk/166379
2025-11-03T16:15:02.5957626Z  * [new tag]                 ciflow/trunk/166380         -> ciflow/trunk/166380
2025-11-03T16:15:02.5958097Z  * [new tag]                 ciflow/trunk/166402         -> ciflow/trunk/166402
2025-11-03T16:15:02.5958434Z  * [new tag]                 ciflow/trunk/166416         -> ciflow/trunk/166416
2025-11-03T16:15:02.5958846Z  * [new tag]                 ciflow/trunk/166431         -> ciflow/trunk/166431
2025-11-03T16:15:02.5959314Z  * [new tag]                 ciflow/trunk/166433         -> ciflow/trunk/166433
2025-11-03T16:15:02.5959730Z  * [new tag]                 ciflow/trunk/166459         -> ciflow/trunk/166459
2025-11-03T16:15:02.5960185Z  * [new tag]                 ciflow/trunk/166469         -> ciflow/trunk/166469
2025-11-03T16:15:02.5960815Z  * [new tag]                 ciflow/trunk/166493         -> ciflow/trunk/166493
2025-11-03T16:15:02.5961124Z  * [new tag]                 ciflow/trunk/166526         -> ciflow/trunk/166526
2025-11-03T16:15:02.5963756Z  * [new tag]                 ciflow/trunk/166536         -> ciflow/trunk/166536
2025-11-03T16:15:02.5964054Z  * [new tag]                 ciflow/trunk/166541         -> ciflow/trunk/166541
2025-11-03T16:15:02.5964448Z  * [new tag]                 ciflow/trunk/166549         -> ciflow/trunk/166549
2025-11-03T16:15:02.5964583Z  * [new tag]                 ciflow/trunk/166560         -> ciflow/trunk/166560
2025-11-03T16:15:02.5964764Z  * [new tag]                 ciflow/trunk/166608         -> ciflow/trunk/166608
2025-11-03T16:15:02.5965030Z  * [new tag]                 ciflow/trunk/166610         -> ciflow/trunk/166610
2025-11-03T16:15:02.5965148Z  * [new tag]                 ciflow/trunk/166613         -> ciflow/trunk/166613
2025-11-03T16:15:02.5965325Z  * [new tag]                 ciflow/trunk/166640         -> ciflow/trunk/166640
2025-11-03T16:15:02.5965761Z  * [new tag]                 ciflow/trunk/166687         -> ciflow/trunk/166687
2025-11-03T16:15:02.5967350Z  * [new tag]                 ciflow/trunk/166688         -> ciflow/trunk/166688
2025-11-03T16:15:02.5967476Z  * [new tag]                 ciflow/trunk/166689         -> ciflow/trunk/166689
2025-11-03T16:15:02.5967590Z  * [new tag]                 ciflow/trunk/166715         -> ciflow/trunk/166715
2025-11-03T16:15:02.5967881Z  * [new tag]                 ciflow/trunk/166727         -> ciflow/trunk/166727
2025-11-03T16:15:02.5968293Z  * [new tag]                 ciflow/trunk/166744         -> ciflow/trunk/166744
2025-11-03T16:15:02.5970608Z  * [new tag]                 ciflow/trunk/166751         -> ciflow/trunk/166751
2025-11-03T16:15:02.5970896Z  * [new tag]                 ciflow/trunk/166768         -> ciflow/trunk/166768
2025-11-03T16:15:02.5971028Z  * [new tag]                 ciflow/trunk/166793         -> ciflow/trunk/166793
2025-11-03T16:15:02.5971141Z  * [new tag]                 ciflow/trunk/166805         -> ciflow/trunk/166805
2025-11-03T16:15:02.5971358Z  * [new tag]                 ciflow/trunk/166806         -> ciflow/trunk/166806
2025-11-03T16:15:02.5971689Z  * [new tag]                 ciflow/trunk/166813         -> ciflow/trunk/166813
2025-11-03T16:15:02.5971924Z  * [new tag]                 ciflow/trunk/166830         -> ciflow/trunk/166830
2025-11-03T16:15:02.5972524Z  * [new tag]                 ciflow/trunk/166839         -> ciflow/trunk/166839
2025-11-03T16:15:02.5972682Z  * [new tag]                 ciflow/trunk/166840         -> ciflow/trunk/166840
2025-11-03T16:15:02.5973045Z  * [new tag]                 ciflow/trunk/166844         -> ciflow/trunk/166844
2025-11-03T16:15:02.5974095Z  * [new tag]                 ciflow/trunk/166847         -> ciflow/trunk/166847
2025-11-03T16:15:02.5974244Z  * [new tag]                 ciflow/trunk/166861         -> ciflow/trunk/166861
2025-11-03T16:15:02.5974614Z  * [new tag]                 ciflow/trunk/18f425962656f009e151944d12f76e2f856b85df -> ciflow/trunk/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:15:02.5975127Z  * [new tag]                 ciflow/trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> ciflow/trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:15:02.5977097Z  * [new tag]                 ciflow/trunk/a19e92d43355489c8d33325321e688a6e6182267 -> ciflow/trunk/a19e92d43355489c8d33325321e688a6e6182267
2025-11-03T16:15:02.5977553Z  * [new tag]                 ciflow/trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> ciflow/trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:15:02.5977853Z  * [new tag]                 ciflow/trunk/c3dc0c7089f3204c36961acc227a3ff503530094 -> ciflow/trunk/c3dc0c7089f3204c36961acc227a3ff503530094
2025-11-03T16:15:02.5978215Z  * [new tag]                 ciflow/trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac -> ciflow/trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:15:02.5978603Z  * [new tag]                 ciflow/trunk/d962bed15798961ffd10e64068f86a2cec411ffb -> ciflow/trunk/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:15:02.5978958Z  * [new tag]                 ciflow/trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> ciflow/trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:15:02.5979211Z  * [new tag]                 ciflow/trunk/f013e804c876a34cbc86a6a475597e3e29812883 -> ciflow/trunk/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:15:02.5979531Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-11-03T16:15:02.5979818Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-11-03T16:15:02.5980218Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-11-03T16:15:02.5981662Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-11-03T16:15:02.5981957Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-11-03T16:15:02.5982082Z  * [new tag]                 ciflow/xpu/161246           -> ciflow/xpu/161246
2025-11-03T16:15:02.5982494Z  * [new tag]                 ciflow/xpu/162454           -> ciflow/xpu/162454
2025-11-03T16:15:02.5983948Z  * [new tag]                 ciflow/xpu/162475           -> ciflow/xpu/162475
2025-11-03T16:15:02.5984236Z  * [new tag]                 ciflow/xpu/162564           -> ciflow/xpu/162564
2025-11-03T16:15:02.5984354Z  * [new tag]                 ciflow/xpu/165049           -> ciflow/xpu/165049
2025-11-03T16:15:02.5984542Z  * [new tag]                 ciflow/xpu/165423           -> ciflow/xpu/165423
2025-11-03T16:15:02.5984654Z  * [new tag]                 ciflow/xpu/166292           -> ciflow/xpu/166292
2025-11-03T16:15:02.5985040Z  * [new tag]                 ciflow/xpu/166299           -> ciflow/xpu/166299
2025-11-03T16:15:02.5985449Z  * [new tag]                 ciflow/xpu/166376           -> ciflow/xpu/166376
2025-11-03T16:15:02.5985914Z  * [new tag]                 ciflow/xpu/166396           -> ciflow/xpu/166396
2025-11-03T16:15:02.5986773Z  * [new tag]                 ciflow/xpu/166424           -> ciflow/xpu/166424
2025-11-03T16:15:02.5987258Z  * [new tag]                 ciflow/xpu/166436           -> ciflow/xpu/166436
2025-11-03T16:15:02.5987615Z  * [new tag]                 ciflow/xpu/166495           -> ciflow/xpu/166495
2025-11-03T16:15:02.5989414Z  * [new tag]                 ciflow/xpu/166504           -> ciflow/xpu/166504
2025-11-03T16:15:02.5989570Z  * [new tag]                 ciflow/xpu/166613           -> ciflow/xpu/166613
2025-11-03T16:15:02.5989678Z  * [new tag]                 ciflow/xpu/166684           -> ciflow/xpu/166684
2025-11-03T16:15:02.5989795Z  * [new tag]                 ciflow/xpu/166830           -> ciflow/xpu/166830
2025-11-03T16:15:02.5990018Z  * [new tag]                 ciflow/xpu/166834           -> ciflow/xpu/166834
2025-11-03T16:15:02.5990441Z  * [new tag]                 ciflow/xpu/166839           -> ciflow/xpu/166839
2025-11-03T16:15:02.5991784Z  * [new tag]                 ciflow/xpu/166840           -> ciflow/xpu/166840
2025-11-03T16:15:02.5991923Z  * [new tag]                 ciflow/xpu/166847           -> ciflow/xpu/166847
2025-11-03T16:15:02.5992048Z  * [new tag]                 ciflow/xpu/166861           -> ciflow/xpu/166861
2025-11-03T16:15:02.5992530Z  * [new tag]                 cslpull75                   -> cslpull75
2025-11-03T16:15:02.5992922Z  * [new tag]                 cslpull76                   -> cslpull76
2025-11-03T16:15:02.5993452Z  * [new tag]                 cslpull77                   -> cslpull77
2025-11-03T16:15:02.5993830Z  * [new tag]                 cslpull78                   -> cslpull78
2025-11-03T16:15:02.5994870Z  * [new tag]                 cslpull79                   -> cslpull79
2025-11-03T16:15:02.5995029Z  * [new tag]                 cslpull80                   -> cslpull80
2025-11-03T16:15:02.5996043Z  * [new tag]                 cslpull81                   -> cslpull81
2025-11-03T16:15:02.5996352Z  * [new tag]                 cslpull82                   -> cslpull82
2025-11-03T16:15:02.5997259Z  * [new tag]                 cslpull83                   -> cslpull83
2025-11-03T16:15:02.5997525Z  * [new tag]                 cslpull84                   -> cslpull84
2025-11-03T16:15:02.5997913Z  * [new tag]                 cslpull85                   -> cslpull85
2025-11-03T16:15:02.5998367Z  * [new tag]                 cslpull86                   -> cslpull86
2025-11-03T16:15:02.5999114Z  * [new tag]                 cslpull87                   -> cslpull87
2025-11-03T16:15:02.5999835Z  * [new tag]                 cslpull88                   -> cslpull88
2025-11-03T16:15:02.6000124Z  * [new tag]                 cslpull89                   -> cslpull89
2025-11-03T16:15:02.6000607Z  * [new tag]                 cslpull90                   -> cslpull90
2025-11-03T16:15:02.6004141Z  * [new tag]                 cslpull91                   -> cslpull91
2025-11-03T16:15:02.6004271Z  * [new tag]                 cslpull92                   -> cslpull92
2025-11-03T16:15:02.6004375Z  * [new tag]                 flight_5                    -> flight_5
2025-11-03T16:15:02.6004488Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-11-03T16:15:02.6004603Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-11-03T16:15:02.6004706Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-11-03T16:15:02.6004850Z  * [new tag]                 forpull1                    -> forpull1
2025-11-03T16:15:02.6006180Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-11-03T16:15:02.6006487Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-11-03T16:15:02.6006620Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-11-03T16:15:02.6008468Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-11-03T16:15:02.6008760Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-11-03T16:15:02.6008915Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-11-03T16:15:02.6010711Z  * [new tag]                 trunk/000f49551bfda0683d395e1fe67f53cfb785868f -> trunk/000f49551bfda0683d395e1fe67f53cfb785868f
2025-11-03T16:15:02.6011009Z  * [new tag]                 trunk/009ea77234788b29910b1205679036eaae3ee3ac -> trunk/009ea77234788b29910b1205679036eaae3ee3ac
2025-11-03T16:15:02.6011282Z  * [new tag]                 trunk/0187db88d463905e5f7dcdf7689519e2807e5a12 -> trunk/0187db88d463905e5f7dcdf7689519e2807e5a12
2025-11-03T16:15:02.6011766Z  * [new tag]                 trunk/02095cc09db01f1fecae436ac1a6ecdf2cfca0db -> trunk/02095cc09db01f1fecae436ac1a6ecdf2cfca0db
2025-11-03T16:15:02.6012014Z  * [new tag]                 trunk/030de07affa347a80fa9f11ab8e9234fc6d7fd4d -> trunk/030de07affa347a80fa9f11ab8e9234fc6d7fd4d
2025-11-03T16:15:02.6012508Z  * [new tag]                 trunk/034e951b0cfb02d7b55327cd482e58cf2695dca0 -> trunk/034e951b0cfb02d7b55327cd482e58cf2695dca0
2025-11-03T16:15:02.6012861Z  * [new tag]                 trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12 -> trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12
2025-11-03T16:15:02.6013327Z  * [new tag]                 trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445 -> trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445
2025-11-03T16:15:02.6015996Z  * [new tag]                 trunk/061fa73c97dcfcb39077ce8fc4042e7f22824b22 -> trunk/061fa73c97dcfcb39077ce8fc4042e7f22824b22
2025-11-03T16:15:02.6016308Z  * [new tag]                 trunk/0674e0a0f14775f920296e9dfb8b61e4960bf99d -> trunk/0674e0a0f14775f920296e9dfb8b61e4960bf99d
2025-11-03T16:15:02.6016563Z  * [new tag]                 trunk/06e71c85583d9857f716b441eef9db40d3f27a39 -> trunk/06e71c85583d9857f716b441eef9db40d3f27a39
2025-11-03T16:15:02.6016817Z  * [new tag]                 trunk/08ae55021eafba28b304e78ef2da9a76741ce039 -> trunk/08ae55021eafba28b304e78ef2da9a76741ce039
2025-11-03T16:15:02.6017081Z  * [new tag]                 trunk/08b0a8f11a00e0442bd3b3066617a501dca29876 -> trunk/08b0a8f11a00e0442bd3b3066617a501dca29876
2025-11-03T16:15:02.6017369Z  * [new tag]                 trunk/08f4535378b9ab5c7ba74828bb20ad535e6de8eb -> trunk/08f4535378b9ab5c7ba74828bb20ad535e6de8eb
2025-11-03T16:15:02.6017651Z  * [new tag]                 trunk/0918bf321c2cfaebb91c5f9e5f0ebe462962328e -> trunk/0918bf321c2cfaebb91c5f9e5f0ebe462962328e
2025-11-03T16:15:02.6018067Z  * [new tag]                 trunk/0947765eb9208996f221dbcb088df800be3953d7 -> trunk/0947765eb9208996f221dbcb088df800be3953d7
2025-11-03T16:15:02.6018341Z  * [new tag]                 trunk/0a3ac47c0a36d7ed619e6577294648a7c14b1ae1 -> trunk/0a3ac47c0a36d7ed619e6577294648a7c14b1ae1
2025-11-03T16:15:02.6018991Z  * [new tag]                 trunk/0ae3e306217a67362371267bbba0ac3fa0855fdc -> trunk/0ae3e306217a67362371267bbba0ac3fa0855fdc
2025-11-03T16:15:02.6022872Z  * [new tag]                 trunk/0d3a4f7155508656bd928527840ed155e8b1a88b -> trunk/0d3a4f7155508656bd928527840ed155e8b1a88b
2025-11-03T16:15:02.6023131Z  * [new tag]                 trunk/0d4992c1702d9d14bc73c29d44029adb7e698eba -> trunk/0d4992c1702d9d14bc73c29d44029adb7e698eba
2025-11-03T16:15:02.6023367Z  * [new tag]                 trunk/0d50e5d8d4132cb09508b3e35701e7b06433420e -> trunk/0d50e5d8d4132cb09508b3e35701e7b06433420e
2025-11-03T16:15:02.6023599Z  * [new tag]                 trunk/0d81bb7f9cef1b735ff373a245aaa2bc037b31b0 -> trunk/0d81bb7f9cef1b735ff373a245aaa2bc037b31b0
2025-11-03T16:15:02.6023814Z  * [new tag]                 trunk/0e19561e235372a3fbed81338fa4e674116c0448 -> trunk/0e19561e235372a3fbed81338fa4e674116c0448
2025-11-03T16:15:02.6024035Z  * [new tag]                 trunk/0e46a10aa7cf69354a0a0cbd268506b53a7cc882 -> trunk/0e46a10aa7cf69354a0a0cbd268506b53a7cc882
2025-11-03T16:15:02.6024254Z  * [new tag]                 trunk/0eacd934bc1c1bee002fcd084300d596d789d166 -> trunk/0eacd934bc1c1bee002fcd084300d596d789d166
2025-11-03T16:15:02.6024468Z  * [new tag]                 trunk/0ec054982304473b51e6ded40c2dc3993d4036be -> trunk/0ec054982304473b51e6ded40c2dc3993d4036be
2025-11-03T16:15:02.6024672Z  * [new tag]                 trunk/108bb224f77842593009214ebf6258030b934642 -> trunk/108bb224f77842593009214ebf6258030b934642
2025-11-03T16:15:02.6025020Z  * [new tag]                 trunk/110efe4df4759006ce5aad4ae1b87d93dcf33c3b -> trunk/110efe4df4759006ce5aad4ae1b87d93dcf33c3b
2025-11-03T16:15:02.6025246Z  * [new tag]                 trunk/112960541529ab0d27bb8aa8b487ef194e048494 -> trunk/112960541529ab0d27bb8aa8b487ef194e048494
2025-11-03T16:15:02.6025784Z  * [new tag]                 trunk/121235956bab7430fb8d080cee209607f8387ead -> trunk/121235956bab7430fb8d080cee209607f8387ead
2025-11-03T16:15:02.6026396Z  * [new tag]                 trunk/12577064dddfc6f5daf66c5b5a73cb418a588f20 -> trunk/12577064dddfc6f5daf66c5b5a73cb418a588f20
2025-11-03T16:15:02.6026984Z  * [new tag]                 trunk/12c12466b082834d23c1f512130da9280badfd28 -> trunk/12c12466b082834d23c1f512130da9280badfd28
2025-11-03T16:15:02.6027642Z  * [new tag]                 trunk/13413b3b07cc72fa9c2671b2535f7e54c1b30ca2 -> trunk/13413b3b07cc72fa9c2671b2535f7e54c1b30ca2
2025-11-03T16:15:02.6028178Z  * [new tag]                 trunk/13549e0e105291721f6f80ceb8f520ca272b971d -> trunk/13549e0e105291721f6f80ceb8f520ca272b971d
2025-11-03T16:15:02.6028688Z  * [new tag]                 trunk/14102fb1f337d01ca61584011f5f657d14da5de6 -> trunk/14102fb1f337d01ca61584011f5f657d14da5de6
2025-11-03T16:15:02.6029315Z  * [new tag]                 trunk/1425b40f29ab11ce21f7a98de9e35551213efe27 -> trunk/1425b40f29ab11ce21f7a98de9e35551213efe27
2025-11-03T16:15:02.6029735Z  * [new tag]                 trunk/14d4a77495dc80da9cd7c5c29b21aaf4613ddc5b -> trunk/14d4a77495dc80da9cd7c5c29b21aaf4613ddc5b
2025-11-03T16:15:02.6030410Z  * [new tag]                 trunk/160ab53dd57e67b3574763615cf8b33249e9afa5 -> trunk/160ab53dd57e67b3574763615cf8b33249e9afa5
2025-11-03T16:15:02.6032639Z  * [new tag]                 trunk/16212f0d6bc1c4fb6ac0498badbe2fb74d5ff47b -> trunk/16212f0d6bc1c4fb6ac0498badbe2fb74d5ff47b
2025-11-03T16:15:02.6032847Z  * [new tag]                 trunk/1656b253c5fcc34a53a9991303170892c6d90c1d -> trunk/1656b253c5fcc34a53a9991303170892c6d90c1d
2025-11-03T16:15:02.6033072Z  * [new tag]                 trunk/173bcda436e9a00aa8215a414efc0c06cf4840a8 -> trunk/173bcda436e9a00aa8215a414efc0c06cf4840a8
2025-11-03T16:15:02.6033290Z  * [new tag]                 trunk/1764f3a9c8eea4cf0aba853348446948597b7b78 -> trunk/1764f3a9c8eea4cf0aba853348446948597b7b78
2025-11-03T16:15:02.6033585Z  * [new tag]                 trunk/17bdb232e1b3df3435fc6f54d3d713404ba96726 -> trunk/17bdb232e1b3df3435fc6f54d3d713404ba96726
2025-11-03T16:15:02.6033918Z  * [new tag]                 trunk/17d5aa47674c5195a3d4919169fb6a334598e2a6 -> trunk/17d5aa47674c5195a3d4919169fb6a334598e2a6
2025-11-03T16:15:02.6034213Z  * [new tag]                 trunk/181ee3bd42447b71a1a8435bf16c0877c4bc3ae7 -> trunk/181ee3bd42447b71a1a8435bf16c0877c4bc3ae7
2025-11-03T16:15:02.6034419Z  * [new tag]                 trunk/18f425962656f009e151944d12f76e2f856b85df -> trunk/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:15:02.6035677Z  * [new tag]                 trunk/1abfa5f70b9aa0dcbd83dc40b092dda1cdcc7805 -> trunk/1abfa5f70b9aa0dcbd83dc40b092dda1cdcc7805
2025-11-03T16:15:02.6035929Z  * [new tag]                 trunk/1aef88c72d3aef629b20e97a188c9dc4bab46a1a -> trunk/1aef88c72d3aef629b20e97a188c9dc4bab46a1a
2025-11-03T16:15:02.6036199Z  * [new tag]                 trunk/1b655a87ef137d2cc9603a982532c5e033432daa -> trunk/1b655a87ef137d2cc9603a982532c5e033432daa
2025-11-03T16:15:02.6036661Z  * [new tag]                 trunk/1c4ced2eafa470832f2f4e24487785c5b7b188c9 -> trunk/1c4ced2eafa470832f2f4e24487785c5b7b188c9
2025-11-03T16:15:02.6038953Z  * [new tag]                 trunk/1dd6b76914397d466a7d9bfff551b6d8299fdce4 -> trunk/1dd6b76914397d466a7d9bfff551b6d8299fdce4
2025-11-03T16:15:02.6039215Z  * [new tag]                 trunk/1dec8a67a8dc88736e9c476a3eaee301684094cd -> trunk/1dec8a67a8dc88736e9c476a3eaee301684094cd
2025-11-03T16:15:02.6039434Z  * [new tag]                 trunk/1e3600b5287346b29a835ad67f8b33945e0ec698 -> trunk/1e3600b5287346b29a835ad67f8b33945e0ec698
2025-11-03T16:15:02.6039818Z  * [new tag]                 trunk/1e836bc769f9cfabc7659a172b8c2edee7c375d3 -> trunk/1e836bc769f9cfabc7659a172b8c2edee7c375d3
2025-11-03T16:15:02.6040203Z  * [new tag]                 trunk/1fa520ea654f5fc0b3c65ce6e056dd73442dd65d -> trunk/1fa520ea654f5fc0b3c65ce6e056dd73442dd65d
2025-11-03T16:15:02.6040563Z  * [new tag]                 trunk/1fdef664a5dffc3bd3d9eba9d78ed458a5f9dbcb -> trunk/1fdef664a5dffc3bd3d9eba9d78ed458a5f9dbcb
2025-11-03T16:15:02.6040790Z  * [new tag]                 trunk/20be077085daf739af76325d04f649dcd908316c -> trunk/20be077085daf739af76325d04f649dcd908316c
2025-11-03T16:15:02.6041214Z  * [new tag]                 trunk/21b48f8dfa7685699df4c97c0ba373d5364230d9 -> trunk/21b48f8dfa7685699df4c97c0ba373d5364230d9
2025-11-03T16:15:02.6041729Z  * [new tag]                 trunk/23669d02a67023ef3192f7dca0ac0547436cae50 -> trunk/23669d02a67023ef3192f7dca0ac0547436cae50
2025-11-03T16:15:02.6046083Z  * [new tag]                 trunk/236ce736a1a84352b21b564e3e5b0be833d7c10c -> trunk/236ce736a1a84352b21b564e3e5b0be833d7c10c
2025-11-03T16:15:02.6046495Z  * [new tag]                 trunk/239e7b541a94d16a33a4a48d3edc9a561777d86a -> trunk/239e7b541a94d16a33a4a48d3edc9a561777d86a
2025-11-03T16:15:02.6046842Z  * [new tag]                 trunk/23b57a445c6394d46a6b46e32b7787663f40d13b -> trunk/23b57a445c6394d46a6b46e32b7787663f40d13b
2025-11-03T16:15:02.6047183Z  * [new tag]                 trunk/24b6eb7727f7eef078f9366302f2aa3e1fef1db4 -> trunk/24b6eb7727f7eef078f9366302f2aa3e1fef1db4
2025-11-03T16:15:02.6047807Z  * [new tag]                 trunk/24e94e021a5a96bf16397ea66243070a7be4aaef -> trunk/24e94e021a5a96bf16397ea66243070a7be4aaef
2025-11-03T16:15:02.6048066Z  * [new tag]                 trunk/26534e9809eb2f7cd804fde5152cdd13dda2293f -> trunk/26534e9809eb2f7cd804fde5152cdd13dda2293f
2025-11-03T16:15:02.6048287Z  * [new tag]                 trunk/267d0197bfca0232488d51dd1ff735d619adc2cf -> trunk/267d0197bfca0232488d51dd1ff735d619adc2cf
2025-11-03T16:15:02.6048523Z  * [new tag]                 trunk/2699f5410b6802277db724f145c281814d6c9ac4 -> trunk/2699f5410b6802277db724f145c281814d6c9ac4
2025-11-03T16:15:02.6048743Z  * [new tag]                 trunk/2829d48bd113043a98e81b4ab7fa0f3ca9ae0072 -> trunk/2829d48bd113043a98e81b4ab7fa0f3ca9ae0072
2025-11-03T16:15:02.6049100Z  * [new tag]                 trunk/284716a691580cf0508a7c5a4f9f7306a32092ad -> trunk/284716a691580cf0508a7c5a4f9f7306a32092ad
2025-11-03T16:15:02.6049320Z  * [new tag]                 trunk/298666631baa6634666ac4dd4599f1d52bafa718 -> trunk/298666631baa6634666ac4dd4599f1d52bafa718
2025-11-03T16:15:02.6049558Z  * [new tag]                 trunk/2a058bfecf4f4a47927b4eaae9324c4999a8a794 -> trunk/2a058bfecf4f4a47927b4eaae9324c4999a8a794
2025-11-03T16:15:02.6049786Z  * [new tag]                 trunk/2a5f87decf34b3d0ea7670238e2fd4620ed19e9f -> trunk/2a5f87decf34b3d0ea7670238e2fd4620ed19e9f
2025-11-03T16:15:02.6054950Z  * [new tag]                 trunk/2c9f877fa71c90a1313deeda4b4486d37e72a8a9 -> trunk/2c9f877fa71c90a1313deeda4b4486d37e72a8a9
2025-11-03T16:15:02.6056960Z  * [new tag]                 trunk/2ce894bb1d3e9698306b87091c900a72acac75ea -> trunk/2ce894bb1d3e9698306b87091c900a72acac75ea
2025-11-03T16:15:02.6057311Z  * [new tag]                 trunk/2dc56456cbb2645c37c3176b7d9a263933bdec27 -> trunk/2dc56456cbb2645c37c3176b7d9a263933bdec27
2025-11-03T16:15:02.6061999Z  * [new tag]                 trunk/2de4cf2102fdc35da00cc8070fdbcaf57198a576 -> trunk/2de4cf2102fdc35da00cc8070fdbcaf57198a576
2025-11-03T16:15:02.6064021Z  * [new tag]                 trunk/2df2c316e2929519a5bad029936e9e37ed637b12 -> trunk/2df2c316e2929519a5bad029936e9e37ed637b12
2025-11-03T16:15:02.6064367Z  * [new tag]                 trunk/30157d30f0e0db6a4fa7a2a3ea75e515645e36de -> trunk/30157d30f0e0db6a4fa7a2a3ea75e515645e36de
2025-11-03T16:15:02.6068870Z  * [new tag]                 trunk/3041ede082d3b0f33bec0cef5062eabc5173b446 -> trunk/3041ede082d3b0f33bec0cef5062eabc5173b446
2025-11-03T16:15:02.6071156Z  * [new tag]                 trunk/311ea0dec0c50f395e6dac7b3875e81ee243fceb -> trunk/311ea0dec0c50f395e6dac7b3875e81ee243fceb
2025-11-03T16:15:02.6071581Z  * [new tag]                 trunk/31e42eb732d32e71c9954d6b2104cf1d129370d5 -> trunk/31e42eb732d32e71c9954d6b2104cf1d129370d5
2025-11-03T16:15:02.6071870Z  * [new tag]                 trunk/32066772b3dee643b1657b8957f32b5ac8b1390a -> trunk/32066772b3dee643b1657b8957f32b5ac8b1390a
2025-11-03T16:15:02.6072171Z  * [new tag]                 trunk/32920926f07e573083ecf81a40c898f47f4df631 -> trunk/32920926f07e573083ecf81a40c898f47f4df631
2025-11-03T16:15:02.6072467Z  * [new tag]                 trunk/32fe4f681e2bfb2fdecf20027e29e1aeb6ad5297 -> trunk/32fe4f681e2bfb2fdecf20027e29e1aeb6ad5297
2025-11-03T16:15:02.6072800Z  * [new tag]                 trunk/335b5c7d4bf3295d517902370142f007ca024cd0 -> trunk/335b5c7d4bf3295d517902370142f007ca024cd0
2025-11-03T16:15:02.6073468Z  * [new tag]                 trunk/34d6ef7022be252ce18a9673f75eed1732dff22a -> trunk/34d6ef7022be252ce18a9673f75eed1732dff22a
2025-11-03T16:15:02.6073756Z  * [new tag]                 trunk/35f3572fa483a8edb101d5765564e1ae274f3d45 -> trunk/35f3572fa483a8edb101d5765564e1ae274f3d45
2025-11-03T16:15:02.6073986Z  * [new tag]                 trunk/365ed62f61dde7fc14dca2199692555e5d1abbe1 -> trunk/365ed62f61dde7fc14dca2199692555e5d1abbe1
2025-11-03T16:15:02.6074207Z  * [new tag]                 trunk/369f2d6951d4c12571eb03b95d74ef2f21296847 -> trunk/369f2d6951d4c12571eb03b95d74ef2f21296847
2025-11-03T16:15:02.6074426Z  * [new tag]                 trunk/36a48e7e6d2d01cd47f002140589a1ac2580ef3f -> trunk/36a48e7e6d2d01cd47f002140589a1ac2580ef3f
2025-11-03T16:15:02.6074637Z  * [new tag]                 trunk/3895ce093f3e71b768d032a28a949a9f390c0d00 -> trunk/3895ce093f3e71b768d032a28a949a9f390c0d00
2025-11-03T16:15:02.6074858Z  * [new tag]                 trunk/392acee68a5ca90279109df023583edaef73d50f -> trunk/392acee68a5ca90279109df023583edaef73d50f
2025-11-03T16:15:02.6075058Z  * [new tag]                 trunk/398775a43e9808205f75c81d36f5087117d3f3f4 -> trunk/398775a43e9808205f75c81d36f5087117d3f3f4
2025-11-03T16:15:02.6075282Z  * [new tag]                 trunk/398fdd32bbf7b5f8a2b67e637c8a2e46572d9f28 -> trunk/398fdd32bbf7b5f8a2b67e637c8a2e46572d9f28
2025-11-03T16:15:02.6075493Z  * [new tag]                 trunk/39e5cdddf7e57881c52473d1288a66f0222527e1 -> trunk/39e5cdddf7e57881c52473d1288a66f0222527e1
2025-11-03T16:15:02.6075899Z  * [new tag]                 trunk/3b4315940d371385674f957f810cb0f1ca0060bd -> trunk/3b4315940d371385674f957f810cb0f1ca0060bd
2025-11-03T16:15:02.6076115Z  * [new tag]                 trunk/3b5d38a3bc55c32232cee8cf87e492c965f276fd -> trunk/3b5d38a3bc55c32232cee8cf87e492c965f276fd
2025-11-03T16:15:02.6076335Z  * [new tag]                 trunk/3ca216ae172e35adde34a319a1a01faaf218e7c5 -> trunk/3ca216ae172e35adde34a319a1a01faaf218e7c5
2025-11-03T16:15:02.6076555Z  * [new tag]                 trunk/3cc5949dc2c6e588d42cff36121819a8539902a7 -> trunk/3cc5949dc2c6e588d42cff36121819a8539902a7
2025-11-03T16:15:02.6076782Z  * [new tag]                 trunk/3d4a2d8a93ad57e9fd1c4e5a03dd431dd0123bb3 -> trunk/3d4a2d8a93ad57e9fd1c4e5a03dd431dd0123bb3
2025-11-03T16:15:02.6077007Z  * [new tag]                 trunk/3d4ca228beb851e2f1cc24d8300804d5884973c1 -> trunk/3d4ca228beb851e2f1cc24d8300804d5884973c1
2025-11-03T16:15:02.6077221Z  * [new tag]                 trunk/3dc92d69ed40fd952244e54bbda0240928756654 -> trunk/3dc92d69ed40fd952244e54bbda0240928756654
2025-11-03T16:15:02.6077492Z  * [new tag]                 trunk/3eddf049221fc04c2ac9d4af53c00305484ef325 -> trunk/3eddf049221fc04c2ac9d4af53c00305484ef325
2025-11-03T16:15:02.6077711Z  * [new tag]                 trunk/3f1824742cac2ffb9a3afd90953c492c6c7f2f50 -> trunk/3f1824742cac2ffb9a3afd90953c492c6c7f2f50
2025-11-03T16:15:02.6077926Z  * [new tag]                 trunk/3f5401020b3fd66238a5eda31576b898d086e14e -> trunk/3f5401020b3fd66238a5eda31576b898d086e14e
2025-11-03T16:15:02.6078156Z  * [new tag]                 trunk/3f6538febd727b782e6e13cfd026a309fb14351d -> trunk/3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:15:02.6078539Z  * [new tag]                 trunk/3f69b4d9b46b1de627896c457bce1937e53d82e5 -> trunk/3f69b4d9b46b1de627896c457bce1937e53d82e5
2025-11-03T16:15:02.6078790Z  * [new tag]                 trunk/401c2f965726fda8f78b08f3745e11008b38e7bf -> trunk/401c2f965726fda8f78b08f3745e11008b38e7bf
2025-11-03T16:15:02.6079034Z  * [new tag]                 trunk/4295a9a1587cc62a3ef4ad9b1e552c78471d5664 -> trunk/4295a9a1587cc62a3ef4ad9b1e552c78471d5664
2025-11-03T16:15:02.6079275Z  * [new tag]                 trunk/4316df857c9e7f301142eb54d06a85a43f8d617b -> trunk/4316df857c9e7f301142eb54d06a85a43f8d617b
2025-11-03T16:15:02.6079515Z  * [new tag]                 trunk/43c30f607eeca0d3e9a26911d9c2131fc250eadd -> trunk/43c30f607eeca0d3e9a26911d9c2131fc250eadd
2025-11-03T16:15:02.6079821Z  * [new tag]                 trunk/45c3f02d69b0a8447381fbc3f3f8731ab0d48ed1 -> trunk/45c3f02d69b0a8447381fbc3f3f8731ab0d48ed1
2025-11-03T16:15:02.6080033Z  * [new tag]                 trunk/467c21ad9ae4133c20a3c098a0355e9ac20d48aa -> trunk/467c21ad9ae4133c20a3c098a0355e9ac20d48aa
2025-11-03T16:15:02.6080243Z  * [new tag]                 trunk/46d17e887150c5de8a74314b6d9fcba1feca259b -> trunk/46d17e887150c5de8a74314b6d9fcba1feca259b
2025-11-03T16:15:02.6080460Z  * [new tag]                 trunk/476b149a00cf52ceba2b2d8b6e14989d2bf540e2 -> trunk/476b149a00cf52ceba2b2d8b6e14989d2bf540e2
2025-11-03T16:15:02.6080684Z  * [new tag]                 trunk/47ec1e9990b89bf9705dc463cad587bd357bc848 -> trunk/47ec1e9990b89bf9705dc463cad587bd357bc848
2025-11-03T16:15:02.6080896Z  * [new tag]                 trunk/47f00243106918eec3ef9119272977fdf2864ad8 -> trunk/47f00243106918eec3ef9119272977fdf2864ad8
2025-11-03T16:15:02.6081110Z  * [new tag]                 trunk/47f50cfd456313d8b46fcc7a1f6de477aa0a5aee -> trunk/47f50cfd456313d8b46fcc7a1f6de477aa0a5aee
2025-11-03T16:15:02.6081322Z  * [new tag]                 trunk/483845a9c42267a6a139b7382e5ee340502376f8 -> trunk/483845a9c42267a6a139b7382e5ee340502376f8
2025-11-03T16:15:02.6081538Z  * [new tag]                 trunk/48c3b71ecc245cb422ec9ab4c7a2078f7ef0b3df -> trunk/48c3b71ecc245cb422ec9ab4c7a2078f7ef0b3df
2025-11-03T16:15:02.6081761Z  * [new tag]                 trunk/48e672d14994c912caccba0c7f2f5df54c0d86b3 -> trunk/48e672d14994c912caccba0c7f2f5df54c0d86b3
2025-11-03T16:15:02.6082013Z  * [new tag]                 trunk/4a7bc1d522bed4f3f792b4641372ec3d06b79b5d -> trunk/4a7bc1d522bed4f3f792b4641372ec3d06b79b5d
2025-11-03T16:15:02.6082224Z  * [new tag]                 trunk/4a7fefd7c783913b811f49e5d6242086758dca6c -> trunk/4a7fefd7c783913b811f49e5d6242086758dca6c
2025-11-03T16:15:02.6082431Z  * [new tag]                 trunk/4a94591321a62b31658f9259680de87e4be9e50d -> trunk/4a94591321a62b31658f9259680de87e4be9e50d
2025-11-03T16:15:02.6082642Z  * [new tag]                 trunk/4acc66f1192ab7743abcc50383aefc5447447f9d -> trunk/4acc66f1192ab7743abcc50383aefc5447447f9d
2025-11-03T16:15:02.6082853Z  * [new tag]                 trunk/4c38887346b6a6185bb3e170621dc13d5f34e9ce -> trunk/4c38887346b6a6185bb3e170621dc13d5f34e9ce
2025-11-03T16:15:02.6083072Z  * [new tag]                 trunk/4cc64d62346edb2e13320f20740f41ba41f64c70 -> trunk/4cc64d62346edb2e13320f20740f41ba41f64c70
2025-11-03T16:15:02.6083295Z  * [new tag]                 trunk/4e6afa8c07b73e0b339e3baacbc73102748e61dd -> trunk/4e6afa8c07b73e0b339e3baacbc73102748e61dd
2025-11-03T16:15:02.6083502Z  * [new tag]                 trunk/4e7232c5daf753e04e8f4189229e3c33888a33e5 -> trunk/4e7232c5daf753e04e8f4189229e3c33888a33e5
2025-11-03T16:15:02.6083721Z  * [new tag]                 trunk/4e8ba37ce3320cac033019131b817b4aca29699b -> trunk/4e8ba37ce3320cac033019131b817b4aca29699b
2025-11-03T16:15:02.6084118Z  * [new tag]                 trunk/4fada51ada8b3190971f2f47d97346057320866a -> trunk/4fada51ada8b3190971f2f47d97346057320866a
2025-11-03T16:15:02.6084348Z  * [new tag]                 trunk/5016e7b2eb73589e35c7a8f0f0ea3bfba221f17d -> trunk/5016e7b2eb73589e35c7a8f0f0ea3bfba221f17d
2025-11-03T16:15:02.6085027Z  * [new tag]                 trunk/51667435f50c025ca3655ff0eeb917b4ef0ffb78 -> trunk/51667435f50c025ca3655ff0eeb917b4ef0ffb78
2025-11-03T16:15:02.6085435Z  * [new tag]                 trunk/52db60170dd192afa48233f03574a8d8bcd39d35 -> trunk/52db60170dd192afa48233f03574a8d8bcd39d35
2025-11-03T16:15:02.6085715Z  * [new tag]                 trunk/544b443ea1d1a9b19e65f981168a01cb87a2d333 -> trunk/544b443ea1d1a9b19e65f981168a01cb87a2d333
2025-11-03T16:15:02.6086451Z  * [new tag]                 trunk/551921d484d209e9a95d77262b1472bc1d18422d -> trunk/551921d484d209e9a95d77262b1472bc1d18422d
2025-11-03T16:15:02.6086905Z  * [new tag]                 trunk/56838bad5f197d32c0ee77ce2eaa7a0cb462af68 -> trunk/56838bad5f197d32c0ee77ce2eaa7a0cb462af68
2025-11-03T16:15:02.6087461Z  * [new tag]                 trunk/56a809aa0765ec2edea57ab37f92b1e78a214dcc -> trunk/56a809aa0765ec2edea57ab37f92b1e78a214dcc
2025-11-03T16:15:02.6087990Z  * [new tag]                 trunk/56afad4eb300be2008d8b24581bcddcd62021036 -> trunk/56afad4eb300be2008d8b24581bcddcd62021036
2025-11-03T16:15:02.6090383Z  * [new tag]                 trunk/572cc12b42f6edf76affd45ea9a23f4c8db5c7e1 -> trunk/572cc12b42f6edf76affd45ea9a23f4c8db5c7e1
2025-11-03T16:15:02.6090812Z  * [new tag]                 trunk/5849eea129b47556630aac4276529afe287b91e1 -> trunk/5849eea129b47556630aac4276529afe287b91e1
2025-11-03T16:15:02.6091187Z  * [new tag]                 trunk/59ddfb69a731970bf5762fbea43ff2987425d3ea -> trunk/59ddfb69a731970bf5762fbea43ff2987425d3ea
2025-11-03T16:15:02.6091901Z  * [new tag]                 trunk/5a3930abbc19eac9a179455df82e206e69765ed2 -> trunk/5a3930abbc19eac9a179455df82e206e69765ed2
2025-11-03T16:15:02.6092167Z  * [new tag]                 trunk/5bcfdae71da2f405a89bace6b09d616107cc3965 -> trunk/5bcfdae71da2f405a89bace6b09d616107cc3965
2025-11-03T16:15:02.6092390Z  * [new tag]                 trunk/5cbdade914d6bc9f67827ef917974980a74e9372 -> trunk/5cbdade914d6bc9f67827ef917974980a74e9372
2025-11-03T16:15:02.6092639Z  * [new tag]                 trunk/5cdbcb52334222d1a2667dabd6da993d1e9ddc93 -> trunk/5cdbcb52334222d1a2667dabd6da993d1e9ddc93
2025-11-03T16:15:02.6092984Z  * [new tag]                 trunk/5d0b3e28dc18fac3c09edb24078998371f878f82 -> trunk/5d0b3e28dc18fac3c09edb24078998371f878f82
2025-11-03T16:15:02.6093296Z  * [new tag]                 trunk/5d288bc3f73873887f681e15af83c5525e6a60bd -> trunk/5d288bc3f73873887f681e15af83c5525e6a60bd
2025-11-03T16:15:02.6093886Z  * [new tag]                 trunk/5d6230779d920e9c449c22d22fd0f69fe7b73632 -> trunk/5d6230779d920e9c449c22d22fd0f69fe7b73632
2025-11-03T16:15:02.6094402Z  * [new tag]                 trunk/5e05a0ae99c320bc570a3a42c5fcd6bbf2b2e9b4 -> trunk/5e05a0ae99c320bc570a3a42c5fcd6bbf2b2e9b4
2025-11-03T16:15:02.6094886Z  * [new tag]                 trunk/5e7272b60a5d7203fd1d048ecac6f202526cac63 -> trunk/5e7272b60a5d7203fd1d048ecac6f202526cac63
2025-11-03T16:15:02.6096846Z  * [new tag]                 trunk/5e769ff86780a7ffd561615dbf4b0defe80cfbb9 -> trunk/5e769ff86780a7ffd561615dbf4b0defe80cfbb9
2025-11-03T16:15:02.6097253Z  * [new tag]                 trunk/5ebf74a655b3335fb079ee03f41228a77bcc630e -> trunk/5ebf74a655b3335fb079ee03f41228a77bcc630e
2025-11-03T16:15:02.6097599Z  * [new tag]                 trunk/5fc2c7a2a11444c31338da9134452810f3ca8acd -> trunk/5fc2c7a2a11444c31338da9134452810f3ca8acd
2025-11-03T16:15:02.6097922Z  * [new tag]                 trunk/5fd1d41e62ce4436c2bb08c7f4702df0021e2c62 -> trunk/5fd1d41e62ce4436c2bb08c7f4702df0021e2c62
2025-11-03T16:15:02.6098247Z  * [new tag]                 trunk/60333de85dec845d6a0e651764c16a730a27828d -> trunk/60333de85dec845d6a0e651764c16a730a27828d
2025-11-03T16:15:02.6098827Z  * [new tag]                 trunk/6096c0fc746dc99189510a1845fd45c667178c03 -> trunk/6096c0fc746dc99189510a1845fd45c667178c03
2025-11-03T16:15:02.6099452Z  * [new tag]                 trunk/60bcb4ee8844e7bac7278ff662c7d5735a326758 -> trunk/60bcb4ee8844e7bac7278ff662c7d5735a326758
2025-11-03T16:15:02.6099819Z  * [new tag]                 trunk/610c09f8f47585e811945e48abc895f88e09bda3 -> trunk/610c09f8f47585e811945e48abc895f88e09bda3
2025-11-03T16:15:02.6100343Z  * [new tag]                 trunk/61bad3c1ea718311d7c256b05614d207d73276e8 -> trunk/61bad3c1ea718311d7c256b05614d207d73276e8
2025-11-03T16:15:02.6100735Z  * [new tag]                 trunk/61bcc8d75ad065a40b2d7953046616d5979233b9 -> trunk/61bcc8d75ad065a40b2d7953046616d5979233b9
2025-11-03T16:15:02.6104342Z  * [new tag]                 trunk/6268883f9c081b88b611ef01be3821503ad180ca -> trunk/6268883f9c081b88b611ef01be3821503ad180ca
2025-11-03T16:15:02.6104744Z  * [new tag]                 trunk/629293f568229adaf60cdaf57fe69306d7782c2d -> trunk/629293f568229adaf60cdaf57fe69306d7782c2d
2025-11-03T16:15:02.6105076Z  * [new tag]                 trunk/639a0b12395e72a8a220dc8443317f4ab3b3f1a0 -> trunk/639a0b12395e72a8a220dc8443317f4ab3b3f1a0
2025-11-03T16:15:02.6105382Z  * [new tag]                 trunk/6530bc70fbc7d600ab0e600c02ecd9b341ce8237 -> trunk/6530bc70fbc7d600ab0e600c02ecd9b341ce8237
2025-11-03T16:15:02.6106111Z  * [new tag]                 trunk/657f8c3e21bd8901dd8ce79ca9a54a45b27f604f -> trunk/657f8c3e21bd8901dd8ce79ca9a54a45b27f604f
2025-11-03T16:15:02.6106364Z  * [new tag]                 trunk/65868156c613521e9635eb3f8eb3f404826ac1f9 -> trunk/65868156c613521e9635eb3f8eb3f404826ac1f9
2025-11-03T16:15:02.6106589Z  * [new tag]                 trunk/687c15c0b3f01118536413d21efcd052838fa10d -> trunk/687c15c0b3f01118536413d21efcd052838fa10d
2025-11-03T16:15:02.6106810Z  * [new tag]                 trunk/68b3984b77a19ed2b2afcbcae201e8b06e20f8bc -> trunk/68b3984b77a19ed2b2afcbcae201e8b06e20f8bc
2025-11-03T16:15:02.6107030Z  * [new tag]                 trunk/694d205143b03cb26626cb86ecb399df6d5e3dd8 -> trunk/694d205143b03cb26626cb86ecb399df6d5e3dd8
2025-11-03T16:15:02.6107402Z  * [new tag]                 trunk/694db5f54927697c9e914d35029f7e5bd9b85b96 -> trunk/694db5f54927697c9e914d35029f7e5bd9b85b96
2025-11-03T16:15:02.6107708Z  * [new tag]                 trunk/695cb0d342f67db563fb57ce1a5f3261b073b790 -> trunk/695cb0d342f67db563fb57ce1a5f3261b073b790
2025-11-03T16:15:02.6108005Z  * [new tag]                 trunk/69be99ee51bd0439fead4c83d1ed3eea9e1e073e -> trunk/69be99ee51bd0439fead4c83d1ed3eea9e1e073e
2025-11-03T16:15:02.6108415Z  * [new tag]                 trunk/69fb3ebb5dbec0bd4cfd73cc9a6c870b7f604840 -> trunk/69fb3ebb5dbec0bd4cfd73cc9a6c870b7f604840
2025-11-03T16:15:02.6108973Z  * [new tag]                 trunk/6a5a436624d08feff1de191e61eb4d4773f73bdb -> trunk/6a5a436624d08feff1de191e61eb4d4773f73bdb
2025-11-03T16:15:02.6110235Z  * [new tag]                 trunk/6c7cad697287dff7e47545ae4b1df1e407185868 -> trunk/6c7cad697287dff7e47545ae4b1df1e407185868
2025-11-03T16:15:02.6110496Z  * [new tag]                 trunk/6d5e651a5024acdbaf9633d9d1d9dc33c6a283c5 -> trunk/6d5e651a5024acdbaf9633d9d1d9dc33c6a283c5
2025-11-03T16:15:02.6110846Z  * [new tag]                 trunk/6ecd6b23b6d2ab17da269ceebe9f944153f67083 -> trunk/6ecd6b23b6d2ab17da269ceebe9f944153f67083
2025-11-03T16:15:02.6111424Z  * [new tag]                 trunk/7045aab143b6d89c2e7de11bc8cbf919d8fd78d0 -> trunk/7045aab143b6d89c2e7de11bc8cbf919d8fd78d0
2025-11-03T16:15:02.6112358Z  * [new tag]                 trunk/70aeb491987401a380914a72c1b9d19e4c882429 -> trunk/70aeb491987401a380914a72c1b9d19e4c882429
2025-11-03T16:15:02.6112603Z  * [new tag]                 trunk/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a -> trunk/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a
2025-11-03T16:15:02.6112833Z  * [new tag]                 trunk/73da7a40b6dd0509b179f0ca92d9fa79973ee306 -> trunk/73da7a40b6dd0509b179f0ca92d9fa79973ee306
2025-11-03T16:15:02.6113923Z  * [new tag]                 trunk/74336f8c77f1a906314c274e43239306c8077e90 -> trunk/74336f8c77f1a906314c274e43239306c8077e90
2025-11-03T16:15:02.6114143Z  * [new tag]                 trunk/748162223768fb9f7daaca1f7f93d0bc37be4de9 -> trunk/748162223768fb9f7daaca1f7f93d0bc37be4de9
2025-11-03T16:15:02.6114775Z  * [new tag]                 trunk/753d9bd8063356c0e31517ef9aabd814efd754c5 -> trunk/753d9bd8063356c0e31517ef9aabd814efd754c5
2025-11-03T16:15:02.6115693Z  * [new tag]                 trunk/7563f61cc8a40a5ba21a498a2d98895b4eec3f39 -> trunk/7563f61cc8a40a5ba21a498a2d98895b4eec3f39
2025-11-03T16:15:02.6116262Z  * [new tag]                 trunk/75f798e05b35cbdf1814673e745b9b7817bb29cd -> trunk/75f798e05b35cbdf1814673e745b9b7817bb29cd
2025-11-03T16:15:02.6116814Z  * [new tag]                 trunk/764c54ecaeb8b0da486b009f4d4ef1fa280e2517 -> trunk/764c54ecaeb8b0da486b009f4d4ef1fa280e2517
2025-11-03T16:15:02.6117167Z  * [new tag]                 trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:15:02.6117700Z  * [new tag]                 trunk/7692fa09cdd47fdbec66efca9edf42a318e6c6e4 -> trunk/7692fa09cdd47fdbec66efca9edf42a318e6c6e4
2025-11-03T16:15:02.6118346Z  * [new tag]                 trunk/76b2c37045e52540ec51e967aa7b6436a6b9b174 -> trunk/76b2c37045e52540ec51e967aa7b6436a6b9b174
2025-11-03T16:15:02.6118861Z  * [new tag]                 trunk/76bb27e248750fc558ec4ea9050e09a6f171e9bc -> trunk/76bb27e248750fc558ec4ea9050e09a6f171e9bc
2025-11-03T16:15:02.6122942Z  * [new tag]                 trunk/774abb018eb1d44c07fda9fa78549755ac7d4367 -> trunk/774abb018eb1d44c07fda9fa78549755ac7d4367
2025-11-03T16:15:02.6123201Z  * [new tag]                 trunk/791ca80d3a2ca72a77b5dedc75bbcbb35b859cfc -> trunk/791ca80d3a2ca72a77b5dedc75bbcbb35b859cfc
2025-11-03T16:15:02.6123430Z  * [new tag]                 trunk/797cd80b2670a51601f997f8c67387bd30440a36 -> trunk/797cd80b2670a51601f997f8c67387bd30440a36
2025-11-03T16:15:02.6123647Z  * [new tag]                 trunk/79aa88cc5dcc55597013cbe36f0e00557b185803 -> trunk/79aa88cc5dcc55597013cbe36f0e00557b185803
2025-11-03T16:15:02.6123858Z  * [new tag]                 trunk/79aee77381b21d41c77148e5ff84c4b351aaf144 -> trunk/79aee77381b21d41c77148e5ff84c4b351aaf144
2025-11-03T16:15:02.6124085Z  * [new tag]                 trunk/7a0cd8ed092a62123fcc1f4c40de2669f46fe2b1 -> trunk/7a0cd8ed092a62123fcc1f4c40de2669f46fe2b1
2025-11-03T16:15:02.6124312Z  * [new tag]                 trunk/7ae8aaf4c02e7cc14b2e3cce0c88a7333dff439c -> trunk/7ae8aaf4c02e7cc14b2e3cce0c88a7333dff439c
2025-11-03T16:15:02.6124689Z  * [new tag]                 trunk/7c203b8420d26bd707c6052f93a4ba77dca2b2c0 -> trunk/7c203b8420d26bd707c6052f93a4ba77dca2b2c0
2025-11-03T16:15:02.6125094Z  * [new tag]                 trunk/7ce723d21cc2a1a874f988f3459f0da834c75daa -> trunk/7ce723d21cc2a1a874f988f3459f0da834c75daa
2025-11-03T16:15:02.6125324Z  * [new tag]                 trunk/7d16fcf2df9b240895056107a015735774cbe4b5 -> trunk/7d16fcf2df9b240895056107a015735774cbe4b5
2025-11-03T16:15:02.6125547Z  * [new tag]                 trunk/7d39401fa07eb2f7782d8f234aa19f8b2abff481 -> trunk/7d39401fa07eb2f7782d8f234aa19f8b2abff481
2025-11-03T16:15:02.6126529Z  * [new tag]                 trunk/7d67a41db4801632d5862e99c79b766284dfd307 -> trunk/7d67a41db4801632d5862e99c79b766284dfd307
2025-11-03T16:15:02.6126951Z  * [new tag]                 trunk/7e3b9d105e3359e31fb252becb01d789a72dc8d9 -> trunk/7e3b9d105e3359e31fb252becb01d789a72dc8d9
2025-11-03T16:15:02.6127477Z  * [new tag]                 trunk/7f7a28046b5927ddbd8ef95d00aa1ca76f773bb1 -> trunk/7f7a28046b5927ddbd8ef95d00aa1ca76f773bb1
2025-11-03T16:15:02.6128077Z  * [new tag]                 trunk/80ba6e458ff2bd178da9ed62e27a61fe46e4252a -> trunk/80ba6e458ff2bd178da9ed62e27a61fe46e4252a
2025-11-03T16:15:02.6131038Z  * [new tag]                 trunk/8101fd46d4619d0f9ef69e5829d1ee6f77289b72 -> trunk/8101fd46d4619d0f9ef69e5829d1ee6f77289b72
2025-11-03T16:15:02.6131293Z  * [new tag]                 trunk/8110ce02a2830f562ed60607e30e2f29aed119dd -> trunk/8110ce02a2830f562ed60607e30e2f29aed119dd
2025-11-03T16:15:02.6131519Z  * [new tag]                 trunk/81fa4a204cf268bc55e96137fa803ae4938472cd -> trunk/81fa4a204cf268bc55e96137fa803ae4938472cd
2025-11-03T16:15:02.6131729Z  * [new tag]                 trunk/8209a0506b399b40a48716126ee22737aa4607c5 -> trunk/8209a0506b399b40a48716126ee22737aa4607c5
2025-11-03T16:15:02.6131955Z  * [new tag]                 trunk/8221ee6db9fd319c249087ad9bb9abaa7d56e113 -> trunk/8221ee6db9fd319c249087ad9bb9abaa7d56e113
2025-11-03T16:15:02.6132470Z  * [new tag]                 trunk/82d86bacf3c34760d6ab8a8a1eafa22d0ea259d9 -> trunk/82d86bacf3c34760d6ab8a8a1eafa22d0ea259d9
2025-11-03T16:15:02.6132716Z  * [new tag]                 trunk/82fafb3304f8baffdb2d54578926d8bb4aba621c -> trunk/82fafb3304f8baffdb2d54578926d8bb4aba621c
2025-11-03T16:15:02.6132954Z  * [new tag]                 trunk/82ff07c7884d478ddd5d638bebbb938e55c9bebf -> trunk/82ff07c7884d478ddd5d638bebbb938e55c9bebf
2025-11-03T16:15:02.6133353Z  * [new tag]                 trunk/83cc38d9c1b4371d4395bda8b6861b98986f527b -> trunk/83cc38d9c1b4371d4395bda8b6861b98986f527b
2025-11-03T16:15:02.6133798Z  * [new tag]                 trunk/840d63c12d255dac1ae3c5e442c6ea6eb87a7256 -> trunk/840d63c12d255dac1ae3c5e442c6ea6eb87a7256
2025-11-03T16:15:02.6134504Z  * [new tag]                 trunk/8417981c96b7577f0228226ccf76d23842173144 -> trunk/8417981c96b7577f0228226ccf76d23842173144
2025-11-03T16:15:02.6134906Z  * [new tag]                 trunk/845da9c8172b0e6e8b1e326359379dc6e9ddbddf -> trunk/845da9c8172b0e6e8b1e326359379dc6e9ddbddf
2025-11-03T16:15:02.6137610Z  * [new tag]                 trunk/84776e13744db6d59b41a063bb8714e2bffe7a06 -> trunk/84776e13744db6d59b41a063bb8714e2bffe7a06
2025-11-03T16:15:02.6137875Z  * [new tag]                 trunk/84a2715d341f068a26a281a252c3907bbe827d9b -> trunk/84a2715d341f068a26a281a252c3907bbe827d9b
2025-11-03T16:15:02.6138088Z  * [new tag]                 trunk/84fe84850383fc11e7150681742bf53f11cd425e -> trunk/84fe84850383fc11e7150681742bf53f11cd425e
2025-11-03T16:15:02.6138307Z  * [new tag]                 trunk/856a7a529872aa2d222e2491708cb458c682bb93 -> trunk/856a7a529872aa2d222e2491708cb458c682bb93
2025-11-03T16:15:02.6138521Z  * [new tag]                 trunk/85a7c745aa5a2428a7cc640ef4b304296fe07c42 -> trunk/85a7c745aa5a2428a7cc640ef4b304296fe07c42
2025-11-03T16:15:02.6138911Z  * [new tag]                 trunk/85b035ca9c230199d91ff86d362def01ad36dc67 -> trunk/85b035ca9c230199d91ff86d362def01ad36dc67
2025-11-03T16:15:02.6139244Z  * [new tag]                 trunk/85b85f6c2c7e6ca98abf9d9a38410d4b5703d64a -> trunk/85b85f6c2c7e6ca98abf9d9a38410d4b5703d64a
2025-11-03T16:15:02.6139907Z  * [new tag]                 trunk/877f126e353f537417c53bff073fc56d3faecd60 -> trunk/877f126e353f537417c53bff073fc56d3faecd60
2025-11-03T16:15:02.6140584Z  * [new tag]                 trunk/8887a33ede05c3e77286447a8ebd82b458878943 -> trunk/8887a33ede05c3e77286447a8ebd82b458878943
2025-11-03T16:15:02.6140915Z  * [new tag]                 trunk/895795f07cc0348ebe0b7e369d555b545d76eb9f -> trunk/895795f07cc0348ebe0b7e369d555b545d76eb9f
2025-11-03T16:15:02.6142683Z  * [new tag]                 trunk/8aa087a29dcb5eba4cffd6a452e7f327abfd14b2 -> trunk/8aa087a29dcb5eba4cffd6a452e7f327abfd14b2
2025-11-03T16:15:02.6143062Z  * [new tag]                 trunk/8af9ed08243222853cf8ebfc9177c5b1ea364d00 -> trunk/8af9ed08243222853cf8ebfc9177c5b1ea364d00
2025-11-03T16:15:02.6143411Z  * [new tag]                 trunk/8b188647cfdc1355070ccd5aaa18a8060d4f67bf -> trunk/8b188647cfdc1355070ccd5aaa18a8060d4f67bf
2025-11-03T16:15:02.6143760Z  * [new tag]                 trunk/8d4e48831e5abb6cbca8d97a2df6c47b770c303b -> trunk/8d4e48831e5abb6cbca8d97a2df6c47b770c303b
2025-11-03T16:15:02.6144058Z  * [new tag]                 trunk/8d599045cf4102e451a9e8a9ff215d053ebbe0e8 -> trunk/8d599045cf4102e451a9e8a9ff215d053ebbe0e8
2025-11-03T16:15:02.6144302Z  * [new tag]                 trunk/8e1e4ee8e0c43202085b47c9d2b05b2c0d13b368 -> trunk/8e1e4ee8e0c43202085b47c9d2b05b2c0d13b368
2025-11-03T16:15:02.6145177Z  * [new tag]                 trunk/8f40a0c634a65246889b478b7f14da7a448174a9 -> trunk/8f40a0c634a65246889b478b7f14da7a448174a9
2025-11-03T16:15:02.6145497Z  * [new tag]                 trunk/8f51556daa347041fc7ac06a832d2fdc62ca594d -> trunk/8f51556daa347041fc7ac06a832d2fdc62ca594d
2025-11-03T16:15:02.6148049Z  * [new tag]                 trunk/904abfc2ca285910b7b1458779bd9c63619f2f7d -> trunk/904abfc2ca285910b7b1458779bd9c63619f2f7d
2025-11-03T16:15:02.6148443Z  * [new tag]                 trunk/90519402c2006237f891289a0afdec804515aa73 -> trunk/90519402c2006237f891289a0afdec804515aa73
2025-11-03T16:15:02.6148729Z  * [new tag]                 trunk/90b30ebf7ecd7b0da9deeb35b165de9e28e90aff -> trunk/90b30ebf7ecd7b0da9deeb35b165de9e28e90aff
2025-11-03T16:15:02.6148964Z  * [new tag]                 trunk/90d7be35e980a39cb4044f8fefea33a6167e5733 -> trunk/90d7be35e980a39cb4044f8fefea33a6167e5733
2025-11-03T16:15:02.6149193Z  * [new tag]                 trunk/9139368b64ebcc32c8c1190fd114c7f4733e7c6d -> trunk/9139368b64ebcc32c8c1190fd114c7f4733e7c6d
2025-11-03T16:15:02.6149412Z  * [new tag]                 trunk/92381a5aa7c27b740d375dad2ff9ca7be3c1bc24 -> trunk/92381a5aa7c27b740d375dad2ff9ca7be3c1bc24
2025-11-03T16:15:02.6149752Z  * [new tag]                 trunk/924482a6f63305b0f00760170ad513305700b79c -> trunk/924482a6f63305b0f00760170ad513305700b79c
2025-11-03T16:15:02.6150282Z  * [new tag]                 trunk/9261a1fb128412201ef009d30844a2417364d73b -> trunk/9261a1fb128412201ef009d30844a2417364d73b
2025-11-03T16:15:02.6151011Z  * [new tag]                 trunk/93a70c717a5636505da0b4ccfbca0e111c88c6a8 -> trunk/93a70c717a5636505da0b4ccfbca0e111c88c6a8
2025-11-03T16:15:02.6151431Z  * [new tag]                 trunk/94eaeb9cb812744251cef11d147e93b00a633823 -> trunk/94eaeb9cb812744251cef11d147e93b00a633823
2025-11-03T16:15:02.6151879Z  * [new tag]                 trunk/94f2657c4b534136aa8958bc35d44ceac5ccd60c -> trunk/94f2657c4b534136aa8958bc35d44ceac5ccd60c
2025-11-03T16:15:02.6152499Z  * [new tag]                 trunk/9501405de686068c5d7d0e4eab21e3ef0b95cc73 -> trunk/9501405de686068c5d7d0e4eab21e3ef0b95cc73
2025-11-03T16:15:02.6153445Z  * [new tag]                 trunk/95b55347730b071d0b79df5ddd477db9c7f91fe4 -> trunk/95b55347730b071d0b79df5ddd477db9c7f91fe4
2025-11-03T16:15:02.6153662Z  * [new tag]                 trunk/96b61844a722d2ae8b1a2dc283a6c0060b40782e -> trunk/96b61844a722d2ae8b1a2dc283a6c0060b40782e
2025-11-03T16:15:02.6154271Z  * [new tag]                 trunk/972030fe2ef0a7500afb7acb86a5f971c30536b9 -> trunk/972030fe2ef0a7500afb7acb86a5f971c30536b9
2025-11-03T16:15:02.6155026Z  * [new tag]                 trunk/984e64b2cddecfe43501a7e01a1cce0c25473f54 -> trunk/984e64b2cddecfe43501a7e01a1cce0c25473f54
2025-11-03T16:15:02.6155428Z  * [new tag]                 trunk/98d640bb113a0b6a39c590bbe36873faeb71ceb0 -> trunk/98d640bb113a0b6a39c590bbe36873faeb71ceb0
2025-11-03T16:15:02.6156025Z  * [new tag]                 trunk/9901d4441862cc0be881f913e1a7f932f7cb0177 -> trunk/9901d4441862cc0be881f913e1a7f932f7cb0177
2025-11-03T16:15:02.6157044Z  * [new tag]                 trunk/9940e894ea9c4374691ec49eba96db0a3159a8ae -> trunk/9940e894ea9c4374691ec49eba96db0a3159a8ae
2025-11-03T16:15:02.6158050Z  * [new tag]                 trunk/9970fb97fff5fb5ab0f0f3acfa73558cc5c1618a -> trunk/9970fb97fff5fb5ab0f0f3acfa73558cc5c1618a
2025-11-03T16:15:02.6158373Z  * [new tag]                 trunk/99b05d1b786dc1f2448c23617bbb80d441a5d64a -> trunk/99b05d1b786dc1f2448c23617bbb80d441a5d64a
2025-11-03T16:15:02.6158965Z  * [new tag]                 trunk/99e07c39ec3e9cf4573da6e6737c3d0362bc6b13 -> trunk/99e07c39ec3e9cf4573da6e6737c3d0362bc6b13
2025-11-03T16:15:02.6159427Z  * [new tag]                 trunk/9a91486e453f300804c7031d0e904b0e2af7d802 -> trunk/9a91486e453f300804c7031d0e904b0e2af7d802
2025-11-03T16:15:02.6160081Z  * [new tag]                 trunk/9c22bbb2dce31b854e3387db77eaff501434f352 -> trunk/9c22bbb2dce31b854e3387db77eaff501434f352
2025-11-03T16:15:02.6160617Z  * [new tag]                 trunk/9d6597b1e9f95f4477e88c5bee473c2850c2e63f -> trunk/9d6597b1e9f95f4477e88c5bee473c2850c2e63f
2025-11-03T16:15:02.6163332Z  * [new tag]                 trunk/9ee1afbf66a6533c712956a3ba5e8f60c5875a74 -> trunk/9ee1afbf66a6533c712956a3ba5e8f60c5875a74
2025-11-03T16:15:02.6163603Z  * [new tag]                 trunk/9f9dbe0a9aa5e5c985f36ad6cc736b3fb3506056 -> trunk/9f9dbe0a9aa5e5c985f36ad6cc736b3fb3506056
2025-11-03T16:15:02.6163990Z  * [new tag]                 trunk/a04edcb27acc6e1dd0fc27233738e6dec718b109 -> trunk/a04edcb27acc6e1dd0fc27233738e6dec718b109
2025-11-03T16:15:02.6164236Z  * [new tag]                 trunk/a076b4d7ac09b7be59915a088b348bcbd952c8bd -> trunk/a076b4d7ac09b7be59915a088b348bcbd952c8bd
2025-11-03T16:15:02.6164469Z  * [new tag]                 trunk/a186aa8d6cc197054deba309605f4b75ca59899c -> trunk/a186aa8d6cc197054deba309605f4b75ca59899c
2025-11-03T16:15:02.6165136Z  * [new tag]                 trunk/a19e92d43355489c8d33325321e688a6e6182267 -> trunk/a19e92d43355489c8d33325321e688a6e6182267
2025-11-03T16:15:02.6165392Z  * [new tag]                 trunk/a1eb6b55387b6ae21cf9bcad76a471a2820fa1b0 -> trunk/a1eb6b55387b6ae21cf9bcad76a471a2820fa1b0
2025-11-03T16:15:02.6165625Z  * [new tag]                 trunk/a25818cf7ee2c0ed5c862dff214dc46a30211671 -> trunk/a25818cf7ee2c0ed5c862dff214dc46a30211671
2025-11-03T16:15:02.6166049Z  * [new tag]                 trunk/a2da69385abb4800732e698afacdddd78e9993aa -> trunk/a2da69385abb4800732e698afacdddd78e9993aa
2025-11-03T16:15:02.6166307Z  * [new tag]                 trunk/a3fe1825aa4d95707875ffa8f15fd00c3b94977d -> trunk/a3fe1825aa4d95707875ffa8f15fd00c3b94977d
2025-11-03T16:15:02.6167060Z  * [new tag]                 trunk/a4077b568f891f8cad948cc70cbb14043791d762 -> trunk/a4077b568f891f8cad948cc70cbb14043791d762
2025-11-03T16:15:02.6167467Z  * [new tag]                 trunk/a4a0378e6bb8afd774e4e253304cf3bf9d7e188a -> trunk/a4a0378e6bb8afd774e4e253304cf3bf9d7e188a
2025-11-03T16:15:02.6169843Z  * [new tag]                 trunk/a51f8772873bc91de8aad1ce865fe8d98a58aec7 -> trunk/a51f8772873bc91de8aad1ce865fe8d98a58aec7
2025-11-03T16:15:02.6170243Z  * [new tag]                 trunk/a5335263d32b5be2b2647661334d81225c3cc3fc -> trunk/a5335263d32b5be2b2647661334d81225c3cc3fc
2025-11-03T16:15:02.6170592Z  * [new tag]                 trunk/a553ea9ea4e71b66a58a1c3c37f18d67ffa4ecd3 -> trunk/a553ea9ea4e71b66a58a1c3c37f18d67ffa4ecd3
2025-11-03T16:15:02.6170926Z  * [new tag]                 trunk/a5c3c08d1099f96548398a637463efb0cbe115ae -> trunk/a5c3c08d1099f96548398a637463efb0cbe115ae
2025-11-03T16:15:02.6171241Z  * [new tag]                 trunk/a5f00077fc9623c762c755c926b7eee60eb0ec3f -> trunk/a5f00077fc9623c762c755c926b7eee60eb0ec3f
2025-11-03T16:15:02.6171538Z  * [new tag]                 trunk/a663eb9c80e92190832b3dd616f138f938f51525 -> trunk/a663eb9c80e92190832b3dd616f138f938f51525
2025-11-03T16:15:02.6171967Z  * [new tag]                 trunk/a6b1ef17173f56ba93ac97ff4384fa4060b5e41e -> trunk/a6b1ef17173f56ba93ac97ff4384fa4060b5e41e
2025-11-03T16:15:02.6172196Z  * [new tag]                 trunk/a76b59cc45a17b728d9da6f937c8a9ab537c657f -> trunk/a76b59cc45a17b728d9da6f937c8a9ab537c657f
2025-11-03T16:15:02.6172825Z  * [new tag]                 trunk/a77f5d9a005a789804fc4d5064036490db5f48fb -> trunk/a77f5d9a005a789804fc4d5064036490db5f48fb
2025-11-03T16:15:02.6173307Z  * [new tag]                 trunk/a7fd0b40018da3c692f74257fc9b1d8cc5c410ff -> trunk/a7fd0b40018da3c692f74257fc9b1d8cc5c410ff
2025-11-03T16:15:02.6177376Z  * [new tag]                 trunk/a988510c3396a668e92801c61b93f7b06219ad0e -> trunk/a988510c3396a668e92801c61b93f7b06219ad0e
2025-11-03T16:15:02.6177806Z  * [new tag]                 trunk/a9b29caeae77480abaee14c89cff19f2c23921a1 -> trunk/a9b29caeae77480abaee14c89cff19f2c23921a1
2025-11-03T16:15:02.6178165Z  * [new tag]                 trunk/aa9c96af041b26c9c55adac490f3449b98f27d06 -> trunk/aa9c96af041b26c9c55adac490f3449b98f27d06
2025-11-03T16:15:02.6178483Z  * [new tag]                 trunk/aab27b051a5e24e71931ef0386f9084d51347211 -> trunk/aab27b051a5e24e71931ef0386f9084d51347211
2025-11-03T16:15:02.6179121Z  * [new tag]                 trunk/ac841267a197e102e1800786b3f6bfcd068b3d85 -> trunk/ac841267a197e102e1800786b3f6bfcd068b3d85
2025-11-03T16:15:02.6179416Z  * [new tag]                 trunk/acd936cc1a53b3c97f1265b6e40e2c09ba0a182d -> trunk/acd936cc1a53b3c97f1265b6e40e2c09ba0a182d
2025-11-03T16:15:02.6179651Z  * [new tag]                 trunk/ad02bd13dfa017f69def846b265a566c4ec5cb3f -> trunk/ad02bd13dfa017f69def846b265a566c4ec5cb3f
2025-11-03T16:15:02.6180057Z  * [new tag]                 trunk/ad3a56ab9857905cdc8f62fb635d578982797c73 -> trunk/ad3a56ab9857905cdc8f62fb635d578982797c73
2025-11-03T16:15:02.6180295Z  * [new tag]                 trunk/ad559072db0cc68aad277380d20bacfdf0d944ac -> trunk/ad559072db0cc68aad277380d20bacfdf0d944ac
2025-11-03T16:15:02.6180529Z  * [new tag]                 trunk/add37bacda45d7de852dedee652346f2857df6fc -> trunk/add37bacda45d7de852dedee652346f2857df6fc
2025-11-03T16:15:02.6180930Z  * [new tag]                 trunk/adedf26e21d1ce835750c99464b3ffa0f6b38fd0 -> trunk/adedf26e21d1ce835750c99464b3ffa0f6b38fd0
2025-11-03T16:15:02.6181262Z  * [new tag]                 trunk/ae038f871b3cb91c36df3a9d4b0ffb4f35d20482 -> trunk/ae038f871b3cb91c36df3a9d4b0ffb4f35d20482
2025-11-03T16:15:02.6181554Z  * [new tag]                 trunk/afaaaa314cc9358a10e9b1986642d49c00773560 -> trunk/afaaaa314cc9358a10e9b1986642d49c00773560
2025-11-03T16:15:02.6181898Z  * [new tag]                 trunk/b060e5c131e9cf43ba6e9b5bda2cb5789c61de47 -> trunk/b060e5c131e9cf43ba6e9b5bda2cb5789c61de47
2025-11-03T16:15:02.6182135Z  * [new tag]                 trunk/b0831930edaa732dd73dc81223fc0a9f5fe6b956 -> trunk/b0831930edaa732dd73dc81223fc0a9f5fe6b956
2025-11-03T16:15:02.6182701Z  * [new tag]                 trunk/b09fb481e0fb00dc475f218e9b14660161b40a94 -> trunk/b09fb481e0fb00dc475f218e9b14660161b40a94
2025-11-03T16:15:02.6185837Z  * [new tag]                 trunk/b2a0f90501dd3a16a6ccaf4c49e1c10f6df4ce1d -> trunk/b2a0f90501dd3a16a6ccaf4c49e1c10f6df4ce1d
2025-11-03T16:15:02.6186096Z  * [new tag]                 trunk/b33762bd2f5f1b115f049d83bf553b08d1ffc97f -> trunk/b33762bd2f5f1b115f049d83bf553b08d1ffc97f
2025-11-03T16:15:02.6186312Z  * [new tag]                 trunk/b3861ac8e70a2334278c17f834880e2d45bbe7a9 -> trunk/b3861ac8e70a2334278c17f834880e2d45bbe7a9
2025-11-03T16:15:02.6186607Z  * [new tag]                 trunk/b4403bfc62ca97eec554cdf815baab1fe93057d9 -> trunk/b4403bfc62ca97eec554cdf815baab1fe93057d9
2025-11-03T16:15:02.6186841Z  * [new tag]                 trunk/b44423bbb43860c1e340cbebc9d101dc18031ecb -> trunk/b44423bbb43860c1e340cbebc9d101dc18031ecb
2025-11-03T16:15:02.6187068Z  * [new tag]                 trunk/b470e59c382649557c49d3c31b8dec1b036eb329 -> trunk/b470e59c382649557c49d3c31b8dec1b036eb329
2025-11-03T16:15:02.6187687Z  * [new tag]                 trunk/b5189e269e899a6ad9ddc4e2ce6f33029290af82 -> trunk/b5189e269e899a6ad9ddc4e2ce6f33029290af82
2025-11-03T16:15:02.6187915Z  * [new tag]                 trunk/b71966f67b2b688f9d71f1602bd3c52d413dacef -> trunk/b71966f67b2b688f9d71f1602bd3c52d413dacef
2025-11-03T16:15:02.6188131Z  * [new tag]                 trunk/b7d348a9074af70f34848298a4e7a7985b197742 -> trunk/b7d348a9074af70f34848298a4e7a7985b197742
2025-11-03T16:15:02.6188625Z  * [new tag]                 trunk/b903018c26217edca67c9023b104027aea377b83 -> trunk/b903018c26217edca67c9023b104027aea377b83
2025-11-03T16:15:02.6189145Z  * [new tag]                 trunk/b939de26d115d33d3cbc17dcf49dbdc1a84e9727 -> trunk/b939de26d115d33d3cbc17dcf49dbdc1a84e9727
2025-11-03T16:15:02.6189755Z  * [new tag]                 trunk/b9bcb37f40e72dc4c2fc1d9281175409fe474194 -> trunk/b9bcb37f40e72dc4c2fc1d9281175409fe474194
2025-11-03T16:15:02.6190232Z  * [new tag]                 trunk/ba71e9ca9ac21e6570b20353d0a67089ad32e442 -> trunk/ba71e9ca9ac21e6570b20353d0a67089ad32e442
2025-11-03T16:15:02.6190877Z  * [new tag]                 trunk/bb54296258854897058e8f158afa8efedc4fcf18 -> trunk/bb54296258854897058e8f158afa8efedc4fcf18
2025-11-03T16:15:02.6191480Z  * [new tag]                 trunk/bbb7d2270b6f647b97f8a9c1d4e69ddaf48ef661 -> trunk/bbb7d2270b6f647b97f8a9c1d4e69ddaf48ef661
2025-11-03T16:15:02.6191791Z  * [new tag]                 trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:15:02.6192616Z  * [new tag]                 trunk/bc5111cd8dc5167cbcbcb2c0f23e53e61a6e8ea5 -> trunk/bc5111cd8dc5167cbcbcb2c0f23e53e61a6e8ea5
2025-11-03T16:15:02.6192898Z  * [new tag]                 trunk/be283297100ab86123e74b7a8372995d32b140c8 -> trunk/be283297100ab86123e74b7a8372995d32b140c8
2025-11-03T16:15:02.6193722Z  * [new tag]                 trunk/bea89d60603ca33f1903e57db5c734a67535c26d -> trunk/bea89d60603ca33f1903e57db5c734a67535c26d
2025-11-03T16:15:02.6194117Z  * [new tag]                 trunk/bebabd7fce29ea49b9269aeaa9fe3f34a3e1127e -> trunk/bebabd7fce29ea49b9269aeaa9fe3f34a3e1127e
2025-11-03T16:15:02.6195361Z  * [new tag]                 trunk/bfb47ec50e09dc2921ba47fedf84a1e28ee991a7 -> trunk/bfb47ec50e09dc2921ba47fedf84a1e28ee991a7
2025-11-03T16:15:02.6195584Z  * [new tag]                 trunk/bfc2050db975e589795cd3eceaed2e83bf89ad35 -> trunk/bfc2050db975e589795cd3eceaed2e83bf89ad35
2025-11-03T16:15:02.6195996Z  * [new tag]                 trunk/c01636e1bc7338eecbcfd2c17fd3fa2cad836983 -> trunk/c01636e1bc7338eecbcfd2c17fd3fa2cad836983
2025-11-03T16:15:02.6196501Z  * [new tag]                 trunk/c0bbda37e8d74734b64421762eb365e620f258c1 -> trunk/c0bbda37e8d74734b64421762eb365e620f258c1
2025-11-03T16:15:02.6197287Z  * [new tag]                 trunk/c201a1cab1439bfcfaff7e4fdab0d6eeeb880a70 -> trunk/c201a1cab1439bfcfaff7e4fdab0d6eeeb880a70
2025-11-03T16:15:02.6197705Z  * [new tag]                 trunk/c2e3cc7aedb2e7d89443225c7cccd08a0f8a3587 -> trunk/c2e3cc7aedb2e7d89443225c7cccd08a0f8a3587
2025-11-03T16:15:02.6198404Z  * [new tag]                 trunk/c3047938a01c844c752e5462b05d180a04d438fd -> trunk/c3047938a01c844c752e5462b05d180a04d438fd
2025-11-03T16:15:02.6198832Z  * [new tag]                 trunk/c37802a8c4388160faa65f8bc9c29d98b4d2fb3c -> trunk/c37802a8c4388160faa65f8bc9c29d98b4d2fb3c
2025-11-03T16:15:02.6199914Z  * [new tag]                 trunk/c3b71d54995a16fd09c18a5da5d598a23388bbd6 -> trunk/c3b71d54995a16fd09c18a5da5d598a23388bbd6
2025-11-03T16:15:02.6200143Z  * [new tag]                 trunk/c3d205d5986824e72df353c9bf112dc9b2a3612a -> trunk/c3d205d5986824e72df353c9bf112dc9b2a3612a
2025-11-03T16:15:02.6200663Z  * [new tag]                 trunk/c3dc0c7089f3204c36961acc227a3ff503530094 -> trunk/c3dc0c7089f3204c36961acc227a3ff503530094
2025-11-03T16:15:02.6201298Z  * [new tag]                 trunk/c54e2c5b4138cb85412a74189d1f7f771ad1116e -> trunk/c54e2c5b4138cb85412a74189d1f7f771ad1116e
2025-11-03T16:15:02.6201658Z  * [new tag]                 trunk/c5701d0ab5f55b23243dd437f57e856970c45bb6 -> trunk/c5701d0ab5f55b23243dd437f57e856970c45bb6
2025-11-03T16:15:02.6202865Z  * [new tag]                 trunk/c58d0ad85dfbf026d5f21ee739c139407dc20e54 -> trunk/c58d0ad85dfbf026d5f21ee739c139407dc20e54
2025-11-03T16:15:02.6203086Z  * [new tag]                 trunk/c594950e867e420a6086190a88e4b8fbd687af91 -> trunk/c594950e867e420a6086190a88e4b8fbd687af91
2025-11-03T16:15:02.6204136Z  * [new tag]                 trunk/c6a02eae5b77758ee7ee0b1dfbcf20a8341914a7 -> trunk/c6a02eae5b77758ee7ee0b1dfbcf20a8341914a7
2025-11-03T16:15:02.6204371Z  * [new tag]                 trunk/c8adc08b3b19b838dcdc71f2055600f420e6a91b -> trunk/c8adc08b3b19b838dcdc71f2055600f420e6a91b
2025-11-03T16:15:02.6207398Z  * [new tag]                 trunk/c9eabadc5e964678556a6bfcde455a5e11dc0785 -> trunk/c9eabadc5e964678556a6bfcde455a5e11dc0785
2025-11-03T16:15:02.6207643Z  * [new tag]                 trunk/cb6966704cf70ebac6d2b36b65e9a75e11c29e71 -> trunk/cb6966704cf70ebac6d2b36b65e9a75e11c29e71
2025-11-03T16:15:02.6208066Z  * [new tag]                 trunk/cde81e92b95eee9af2879c9c75f7b03699ca72ad -> trunk/cde81e92b95eee9af2879c9c75f7b03699ca72ad
2025-11-03T16:15:02.6208308Z  * [new tag]                 trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac -> trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:15:02.6208541Z  * [new tag]                 trunk/cf7756da385e03c169f7e6a5b5ff2c0e29b2814a -> trunk/cf7756da385e03c169f7e6a5b5ff2c0e29b2814a
2025-11-03T16:15:02.6208756Z  * [new tag]                 trunk/cf9a834f39d6c3b769381cc1321bcb5c54132415 -> trunk/cf9a834f39d6c3b769381cc1321bcb5c54132415
2025-11-03T16:15:02.6211592Z  * [new tag]                 trunk/d049ed2cb1619c44279cb716b8a1d94e4df3b372 -> trunk/d049ed2cb1619c44279cb716b8a1d94e4df3b372
2025-11-03T16:15:02.6211895Z  * [new tag]                 trunk/d17790072381f0e76e177ae4093504a6908a5a4d -> trunk/d17790072381f0e76e177ae4093504a6908a5a4d
2025-11-03T16:15:02.6212118Z  * [new tag]                 trunk/d1a6e006e090b1365e6653853982f175cca452e8 -> trunk/d1a6e006e090b1365e6653853982f175cca452e8
2025-11-03T16:15:02.6212359Z  * [new tag]                 trunk/d2be06f673ff11e59b234156dccaad2dc22c7746 -> trunk/d2be06f673ff11e59b234156dccaad2dc22c7746
2025-11-03T16:15:02.6212596Z  * [new tag]                 trunk/d2eff5d454ab2cb0a5ccdfb5eb6e7d6dcc75e097 -> trunk/d2eff5d454ab2cb0a5ccdfb5eb6e7d6dcc75e097
2025-11-03T16:15:02.6212820Z  * [new tag]                 trunk/d3be06cbdca4b2a9cd8ae35926b3f20b1bed1fe2 -> trunk/d3be06cbdca4b2a9cd8ae35926b3f20b1bed1fe2
2025-11-03T16:15:02.6216970Z  * [new tag]                 trunk/d3e511f07c0b1fc6df22347aec7f8e700bdb0d24 -> trunk/d3e511f07c0b1fc6df22347aec7f8e700bdb0d24
2025-11-03T16:15:02.6221235Z  * [new tag]                 trunk/d401e4e70a1dd19733d3e3c84affc4884605efb4 -> trunk/d401e4e70a1dd19733d3e3c84affc4884605efb4
2025-11-03T16:15:02.6225767Z  * [new tag]                 trunk/d46d8d6f54b15ded4f2483c7bde31be124281ab8 -> trunk/d46d8d6f54b15ded4f2483c7bde31be124281ab8
2025-11-03T16:15:02.6226066Z  * [new tag]                 trunk/d6d6fa26f540c10c57ac80547a9475e9f4c201f2 -> trunk/d6d6fa26f540c10c57ac80547a9475e9f4c201f2
2025-11-03T16:15:02.6226325Z  * [new tag]                 trunk/d7040e6d7515cea485824d2b810bea94e5958dea -> trunk/d7040e6d7515cea485824d2b810bea94e5958dea
2025-11-03T16:15:02.6226549Z  * [new tag]                 trunk/d80ae738c9c1810b30a88233bdcd34cae16c5c6e -> trunk/d80ae738c9c1810b30a88233bdcd34cae16c5c6e
2025-11-03T16:15:02.6226795Z  * [new tag]                 trunk/d8283a317a335c628c4541c6a60e102fdead57b7 -> trunk/d8283a317a335c628c4541c6a60e102fdead57b7
2025-11-03T16:15:02.6227033Z  * [new tag]                 trunk/d9483d4c8d3f220ad505afd05606e068184896a4 -> trunk/d9483d4c8d3f220ad505afd05606e068184896a4
2025-11-03T16:15:02.6227251Z  * [new tag]                 trunk/d962bed15798961ffd10e64068f86a2cec411ffb -> trunk/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:15:02.6227459Z  * [new tag]                 trunk/d97144d31ef42e762ce65f467cbaf065edb241cc -> trunk/d97144d31ef42e762ce65f467cbaf065edb241cc
2025-11-03T16:15:02.6227831Z  * [new tag]                 trunk/dc011d3203b24ebf1f78ab8dd64766205e64d8ec -> trunk/dc011d3203b24ebf1f78ab8dd64766205e64d8ec
2025-11-03T16:15:02.6228053Z  * [new tag]                 trunk/dd1fe7c22f8eee3984a22663636b0d1403b079ba -> trunk/dd1fe7c22f8eee3984a22663636b0d1403b079ba
2025-11-03T16:15:02.6228265Z  * [new tag]                 trunk/deb776319b12cad7fffb5cf9d8851a50e2b0e9ea -> trunk/deb776319b12cad7fffb5cf9d8851a50e2b0e9ea
2025-11-03T16:15:02.6228480Z  * [new tag]                 trunk/defac66e39c60f867795346ded171366ed682ee3 -> trunk/defac66e39c60f867795346ded171366ed682ee3
2025-11-03T16:15:02.6228688Z  * [new tag]                 trunk/df71b7072799c451a008cb36142dfdb1487f0d5e -> trunk/df71b7072799c451a008cb36142dfdb1487f0d5e
2025-11-03T16:15:02.6228919Z  * [new tag]                 trunk/dfebdcab86acbaa0eaa996b47595e5f27a66492e -> trunk/dfebdcab86acbaa0eaa996b47595e5f27a66492e
2025-11-03T16:15:02.6229142Z  * [new tag]                 trunk/e0604d3170f1123ebacbced66be400c7f162621f -> trunk/e0604d3170f1123ebacbced66be400c7f162621f
2025-11-03T16:15:02.6229358Z  * [new tag]                 trunk/e0791fc11dc0024a828495985898b29120dcc4c1 -> trunk/e0791fc11dc0024a828495985898b29120dcc4c1
2025-11-03T16:15:02.6229582Z  * [new tag]                 trunk/e0ca3049c0c7726747094f47f80cadcfad51320d -> trunk/e0ca3049c0c7726747094f47f80cadcfad51320d
2025-11-03T16:15:02.6229799Z  * [new tag]                 trunk/e105a475756ae6dd45c8134bd4583afc57ee416e -> trunk/e105a475756ae6dd45c8134bd4583afc57ee416e
2025-11-03T16:15:02.6230025Z  * [new tag]                 trunk/e137cd0a1046ead2ca9d631f427655adced606c2 -> trunk/e137cd0a1046ead2ca9d631f427655adced606c2
2025-11-03T16:15:02.6230305Z  * [new tag]                 trunk/e1d011d6eb571cd98ec7c7ed8e8b518a5463ec97 -> trunk/e1d011d6eb571cd98ec7c7ed8e8b518a5463ec97
2025-11-03T16:15:02.6230527Z  * [new tag]                 trunk/e214af6ae8e613485ac3dac3e2094cf53dfc3c1d -> trunk/e214af6ae8e613485ac3dac3e2094cf53dfc3c1d
2025-11-03T16:15:02.6230745Z  * [new tag]                 trunk/e2dc32f4baf853e6171777aed530fc83bcdb35ae -> trunk/e2dc32f4baf853e6171777aed530fc83bcdb35ae
2025-11-03T16:15:02.6230955Z  * [new tag]                 trunk/e380028a51c38de80b8888d027c63e290a773651 -> trunk/e380028a51c38de80b8888d027c63e290a773651
2025-11-03T16:15:02.6231160Z  * [new tag]                 trunk/e3ae0594d16134632ff587c9ab400d4148c83e9f -> trunk/e3ae0594d16134632ff587c9ab400d4148c83e9f
2025-11-03T16:15:02.6231372Z  * [new tag]                 trunk/e3e93c7107830c13f4139c3a62fda62c6b84bbf5 -> trunk/e3e93c7107830c13f4139c3a62fda62c6b84bbf5
2025-11-03T16:15:02.6231595Z  * [new tag]                 trunk/e4043884c734a3947f4c8da0cfbba43fc6319f3d -> trunk/e4043884c734a3947f4c8da0cfbba43fc6319f3d
2025-11-03T16:15:02.6231808Z  * [new tag]                 trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:15:02.6232028Z  * [new tag]                 trunk/e83be7042e809ef51c67f53d83ac45794447c73f -> trunk/e83be7042e809ef51c67f53d83ac45794447c73f
2025-11-03T16:15:02.6232250Z  * [new tag]                 trunk/e8d887ae3fceb97283bc2d751621b9615524b4b7 -> trunk/e8d887ae3fceb97283bc2d751621b9615524b4b7
2025-11-03T16:15:02.6232475Z  * [new tag]                 trunk/e8fadba28cc225782ddce1bf0ef8315ee1743761 -> trunk/e8fadba28cc225782ddce1bf0ef8315ee1743761
2025-11-03T16:15:02.6232687Z  * [new tag]                 trunk/e95920e3e6f9d8218c6aed2b8b6ce9b838a49104 -> trunk/e95920e3e6f9d8218c6aed2b8b6ce9b838a49104
2025-11-03T16:15:02.6232911Z  * [new tag]                 trunk/ea698e8bfcd2ec1820b3ba90b9c47416a33348de -> trunk/ea698e8bfcd2ec1820b3ba90b9c47416a33348de
2025-11-03T16:15:02.6233128Z  * [new tag]                 trunk/eae701cad03feb87908107cb5246d9e13a9d426e -> trunk/eae701cad03feb87908107cb5246d9e13a9d426e
2025-11-03T16:15:02.6233348Z  * [new tag]                 trunk/eb2bad5bb54df8a2563f2619819e9e689e0ba10e -> trunk/eb2bad5bb54df8a2563f2619819e9e689e0ba10e
2025-11-03T16:15:02.6233639Z  * [new tag]                 trunk/ebb2b2e894a4ede8efc5f5fff068d4ac9972f77a -> trunk/ebb2b2e894a4ede8efc5f5fff068d4ac9972f77a
2025-11-03T16:15:02.6234018Z  * [new tag]                 trunk/ee7434be822cf6e75b4566d8159f550ee233d8ae -> trunk/ee7434be822cf6e75b4566d8159f550ee233d8ae
2025-11-03T16:15:02.6234337Z  * [new tag]                 trunk/ef8d97efcf05e1f3a05ad5ce3444e3af42481505 -> trunk/ef8d97efcf05e1f3a05ad5ce3444e3af42481505
2025-11-03T16:15:02.6234950Z  * [new tag]                 trunk/f013e804c876a34cbc86a6a475597e3e29812883 -> trunk/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:15:02.6235226Z  * [new tag]                 trunk/f02708c2be66c7cf0edec52663de69f66ba4b1df -> trunk/f02708c2be66c7cf0edec52663de69f66ba4b1df
2025-11-03T16:15:02.6235809Z  * [new tag]                 trunk/f0745ddb11ab66a8bb4de8031bd7e9dccba19379 -> trunk/f0745ddb11ab66a8bb4de8031bd7e9dccba19379
2025-11-03T16:15:02.6236404Z  * [new tag]                 trunk/f167fd09fabf3f5be63cd31451f29d49796c14e8 -> trunk/f167fd09fabf3f5be63cd31451f29d49796c14e8
2025-11-03T16:15:02.6237180Z  * [new tag]                 trunk/f1a34407152302812bf633360cd29e9fba8de71e -> trunk/f1a34407152302812bf633360cd29e9fba8de71e
2025-11-03T16:15:02.6237726Z  * [new tag]                 trunk/f1af679270392c83e03808c8af5e2cbe3cdf16ce -> trunk/f1af679270392c83e03808c8af5e2cbe3cdf16ce
2025-11-03T16:15:02.6238108Z  * [new tag]                 trunk/f1e4c42b6ef3d3cea08ab3babb693e3ce42cf08b -> trunk/f1e4c42b6ef3d3cea08ab3babb693e3ce42cf08b
2025-11-03T16:15:02.6238792Z  * [new tag]                 trunk/f20bf778746a7662a9bdbd2fa49d326772ca90ed -> trunk/f20bf778746a7662a9bdbd2fa49d326772ca90ed
2025-11-03T16:15:02.6244799Z  * [new tag]                 trunk/f2450798cd6f30b811f6d8256da0c271cad2285c -> trunk/f2450798cd6f30b811f6d8256da0c271cad2285c
2025-11-03T16:15:02.6248515Z  * [new tag]                 trunk/f2c81635c85bf8d1c523d6b17f8016ad78ea02e2 -> trunk/f2c81635c85bf8d1c523d6b17f8016ad78ea02e2
2025-11-03T16:15:02.6250327Z  * [new tag]                 trunk/f33abae6957b8ef56268ce22e660d3ed3111c7c3 -> trunk/f33abae6957b8ef56268ce22e660d3ed3111c7c3
2025-11-03T16:15:02.6250767Z  * [new tag]                 trunk/f36f372acc28062e0988d84699c62689b0d89a6e -> trunk/f36f372acc28062e0988d84699c62689b0d89a6e
2025-11-03T16:15:02.6251134Z  * [new tag]                 trunk/f452edd782fb7342e2a5740cea9b78135e714858 -> trunk/f452edd782fb7342e2a5740cea9b78135e714858
2025-11-03T16:15:02.6251461Z  * [new tag]                 trunk/f4d05feb7a5f9191509e1e539ea210fcbe538b32 -> trunk/f4d05feb7a5f9191509e1e539ea210fcbe538b32
2025-11-03T16:15:02.6251836Z  * [new tag]                 trunk/f5543e3741bbfba4579afc3b49d0720f2eee7e4d -> trunk/f5543e3741bbfba4579afc3b49d0720f2eee7e4d
2025-11-03T16:15:02.6252083Z  * [new tag]                 trunk/f5cb9a4c68d9271c58ef4d3257210984b8e85099 -> trunk/f5cb9a4c68d9271c58ef4d3257210984b8e85099
2025-11-03T16:15:02.6252301Z  * [new tag]                 trunk/f60751024ecac57840a2d25132d0c1562351e66e -> trunk/f60751024ecac57840a2d25132d0c1562351e66e
2025-11-03T16:15:02.6252519Z  * [new tag]                 trunk/f6951cb8ea1ef96a33627734eb68b5dc7a04b6ed -> trunk/f6951cb8ea1ef96a33627734eb68b5dc7a04b6ed
2025-11-03T16:15:02.6252765Z  * [new tag]                 trunk/f89a7e9fe80fb0f74af52bad892e1afafa57be9c -> trunk/f89a7e9fe80fb0f74af52bad892e1afafa57be9c
2025-11-03T16:15:02.6252983Z  * [new tag]                 trunk/f8b4c002940d96ba2afc14ac4cf0b5277776bc02 -> trunk/f8b4c002940d96ba2afc14ac4cf0b5277776bc02
2025-11-03T16:15:02.6253204Z  * [new tag]                 trunk/f911d64750efb22097eef5505552a7669a0c53de -> trunk/f911d64750efb22097eef5505552a7669a0c53de
2025-11-03T16:15:02.6253419Z  * [new tag]                 trunk/f91899ca6c15d611c453591527e1be8b43e5d4ea -> trunk/f91899ca6c15d611c453591527e1be8b43e5d4ea
2025-11-03T16:15:02.6253649Z  * [new tag]                 trunk/f93ea7dab190fa0953b7a4921b76993cadafc7c9 -> trunk/f93ea7dab190fa0953b7a4921b76993cadafc7c9
2025-11-03T16:15:02.6253875Z  * [new tag]                 trunk/fa4cb918462d3cbe7cf48db7c1498824c1ca1cc4 -> trunk/fa4cb918462d3cbe7cf48db7c1498824c1ca1cc4
2025-11-03T16:15:02.6254401Z  * [new tag]                 trunk/fa560e1158b496d1c37ca2a2443a0b7f5a08dad5 -> trunk/fa560e1158b496d1c37ca2a2443a0b7f5a08dad5
2025-11-03T16:15:02.6254618Z  * [new tag]                 trunk/fa8e073a4e17f12e7e4bb0b26471179d2ca57471 -> trunk/fa8e073a4e17f12e7e4bb0b26471179d2ca57471
2025-11-03T16:15:02.6254826Z  * [new tag]                 trunk/fb545fb0686c94cc017c15ca7e342996b49edb81 -> trunk/fb545fb0686c94cc017c15ca7e342996b49edb81
2025-11-03T16:15:02.6255045Z  * [new tag]                 trunk/fc540cefd498f1001a5fc7a4f187080628b27839 -> trunk/fc540cefd498f1001a5fc7a4f187080628b27839
2025-11-03T16:15:02.6255255Z  * [new tag]                 trunk/fc8ac1216c61d8736f45a58825abf58e7d51e088 -> trunk/fc8ac1216c61d8736f45a58825abf58e7d51e088
2025-11-03T16:15:02.6255477Z  * [new tag]                 trunk/fcc10635660ceb619f78d06eaaa8b3c0bdd52ab8 -> trunk/fcc10635660ceb619f78d06eaaa8b3c0bdd52ab8
2025-11-03T16:15:02.6255693Z  * [new tag]                 trunk/fcd5f8c352b5b75bd32e57fa044ec5df095032da -> trunk/fcd5f8c352b5b75bd32e57fa044ec5df095032da
2025-11-03T16:15:02.6255926Z  * [new tag]                 trunk/fd5da81fdd76c0a78ef935d077a93b48b78fca3a -> trunk/fd5da81fdd76c0a78ef935d077a93b48b78fca3a
2025-11-03T16:15:02.6256136Z  * [new tag]                 trunk/fd68d409ada709450ced3030bde89ec662a3f7b7 -> trunk/fd68d409ada709450ced3030bde89ec662a3f7b7
2025-11-03T16:15:02.6256349Z  * [new tag]                 trunk/fea819ed080175f9a93205cc9074022bfa486325 -> trunk/fea819ed080175f9a93205cc9074022bfa486325
2025-11-03T16:15:02.6256557Z  * [new tag]                 trunk/fee1ac927d66fce67f862311292dcc325b8def44 -> trunk/fee1ac927d66fce67f862311292dcc325b8def44
2025-11-03T16:15:02.6256817Z  * [new tag]                 trunk/fee7624bd66e64f575c1396fcaaa54cabce49ca4 -> trunk/fee7624bd66e64f575c1396fcaaa54cabce49ca4
2025-11-03T16:15:02.6257032Z  * [new tag]                 trunk/fefb546b9100614da1fa703e12651bc115059f02 -> trunk/fefb546b9100614da1fa703e12651bc115059f02
2025-11-03T16:15:02.6257382Z  * [new tag]                 trunk/ff46d5a79bec09d9ae334d325f5f8cc89306b536 -> trunk/ff46d5a79bec09d9ae334d325f5f8cc89306b536
2025-11-03T16:15:02.6258108Z  * [new tag]                 trunk/ffaa6578b7a641b1ac1fcf451f04cf5e1212c9fe -> trunk/ffaa6578b7a641b1ac1fcf451f04cf5e1212c9fe
2025-11-03T16:15:02.6258242Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-11-03T16:15:02.6258340Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-11-03T16:15:02.6258491Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-11-03T16:15:02.6258882Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-11-03T16:15:02.6263853Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-11-03T16:15:02.6265647Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-11-03T16:15:02.6265855Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-11-03T16:15:02.6270038Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-11-03T16:15:02.6270297Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-11-03T16:15:02.6270532Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-11-03T16:15:02.6270619Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-11-03T16:15:02.6270713Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-11-03T16:15:02.6270797Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-11-03T16:15:02.6270889Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-11-03T16:15:02.6270974Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-11-03T16:15:02.6271200Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-11-03T16:15:02.6271294Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-11-03T16:15:02.6271453Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-11-03T16:15:02.6271763Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-11-03T16:15:02.6271954Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-11-03T16:15:02.6276034Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-11-03T16:15:02.6276314Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-11-03T16:15:02.6276596Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-11-03T16:15:02.6276705Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-11-03T16:15:02.6278665Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-11-03T16:15:02.6278794Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-11-03T16:15:02.6278948Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-11-03T16:15:02.6279059Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-11-03T16:15:02.6279363Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-11-03T16:15:02.6281788Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-11-03T16:15:02.6282049Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-11-03T16:15:02.6282179Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-11-03T16:15:02.6282350Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-11-03T16:15:02.6282470Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-11-03T16:15:02.6282879Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-11-03T16:15:02.6282984Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-11-03T16:15:02.6284485Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-11-03T16:15:02.6284781Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-11-03T16:15:02.6284902Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-11-03T16:15:02.6285080Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-11-03T16:15:02.6287087Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-11-03T16:15:02.6287373Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-11-03T16:15:02.6287499Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-11-03T16:15:02.6287667Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-11-03T16:15:02.6287961Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-11-03T16:15:02.6288721Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-11-03T16:15:02.6289106Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-11-03T16:15:02.6289508Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-11-03T16:15:02.6294644Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-11-03T16:15:02.6296503Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-11-03T16:15:02.6296717Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-11-03T16:15:02.6301603Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-11-03T16:15:02.6304165Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-11-03T16:15:02.6304390Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-11-03T16:15:02.6309181Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-11-03T16:15:02.6311485Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-11-03T16:15:02.6311724Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-11-03T16:15:02.6315066Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-11-03T16:15:02.6315196Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-11-03T16:15:02.6315461Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-11-03T16:15:02.6315555Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-11-03T16:15:02.6315658Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-11-03T16:15:02.6315757Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-11-03T16:15:02.6315851Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-11-03T16:15:02.6315976Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-11-03T16:15:02.6316078Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-11-03T16:15:02.6316181Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-11-03T16:15:02.6316300Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-11-03T16:15:02.6316399Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-11-03T16:15:02.6316491Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-11-03T16:15:02.6316584Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-11-03T16:15:02.6316681Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-11-03T16:15:02.6316767Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-11-03T16:15:02.6316871Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-11-03T16:15:02.6316965Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-11-03T16:15:02.6317066Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-11-03T16:15:02.6317158Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-11-03T16:15:02.6317297Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-11-03T16:15:02.6317398Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-11-03T16:15:02.6317490Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-11-03T16:15:02.6317588Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-11-03T16:15:02.6317679Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-11-03T16:15:02.6317768Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-11-03T16:15:02.6317867Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-11-03T16:15:02.6317956Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-11-03T16:15:02.6318051Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-11-03T16:15:02.6318141Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-11-03T16:15:02.6318347Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-11-03T16:15:02.6318449Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-11-03T16:15:02.6318539Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-11-03T16:15:02.6318640Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-11-03T16:15:02.6318729Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-11-03T16:15:02.6318818Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-11-03T16:15:02.6318915Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-11-03T16:15:02.6319004Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-11-03T16:15:02.6321103Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-11-03T16:15:02.6321222Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-11-03T16:15:02.6321322Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-11-03T16:15:02.6321506Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-11-03T16:15:02.6321623Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-11-03T16:15:02.6321853Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-11-03T16:15:02.6322092Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-11-03T16:15:02.6322203Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-11-03T16:15:02.6322293Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-11-03T16:15:02.6325287Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-11-03T16:15:02.6325464Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-11-03T16:15:02.6325582Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-11-03T16:15:02.6325676Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-11-03T16:15:02.6325876Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-11-03T16:15:02.6326095Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-11-03T16:15:02.6326200Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-11-03T16:15:02.6326394Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-11-03T16:15:02.6326666Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-11-03T16:15:02.6327263Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-11-03T16:15:02.6327434Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-11-03T16:15:02.6327558Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-11-03T16:15:02.6327674Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-11-03T16:15:02.6327786Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-11-03T16:15:02.6328096Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-11-03T16:15:02.6334094Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-11-03T16:15:02.6338078Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-11-03T16:15:02.6343401Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-11-03T16:15:02.6348116Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-11-03T16:15:02.6351692Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-11-03T16:15:02.6356373Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-11-03T16:15:02.6356507Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-11-03T16:15:02.6356647Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-11-03T16:15:02.6356763Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-11-03T16:15:02.6356858Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-11-03T16:15:02.6356984Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-11-03T16:15:02.6357081Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-11-03T16:15:02.6357188Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-11-03T16:15:02.6357282Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-11-03T16:15:02.6357386Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-11-03T16:15:02.6357478Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-11-03T16:15:02.6357572Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-11-03T16:15:02.6357673Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-11-03T16:15:02.6357788Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-11-03T16:15:02.6357888Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-11-03T16:15:02.6357983Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-11-03T16:15:02.6358082Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-11-03T16:15:02.6358289Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-11-03T16:15:02.6358536Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-11-03T16:15:02.6358648Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-11-03T16:15:02.6358747Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-11-03T16:15:02.6358851Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-11-03T16:15:02.6358946Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-11-03T16:15:02.6359042Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-11-03T16:15:02.6359148Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-11-03T16:15:02.6359248Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-11-03T16:15:02.6359354Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-11-03T16:15:02.6359457Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-11-03T16:15:02.6359551Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-11-03T16:15:02.6359675Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-11-03T16:15:02.6359764Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-11-03T16:15:02.6359862Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-11-03T16:15:02.6359950Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-11-03T16:15:02.6360048Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-11-03T16:15:02.6360140Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-11-03T16:15:02.6360229Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-11-03T16:15:02.6360369Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-11-03T16:15:02.6360463Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-11-03T16:15:02.6360564Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-11-03T16:15:02.6360658Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-11-03T16:15:02.6360747Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-11-03T16:15:02.6360846Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-11-03T16:15:02.6360950Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-11-03T16:15:02.6361056Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-11-03T16:15:02.6361149Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-11-03T16:15:02.6361241Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-11-03T16:15:02.6361342Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-11-03T16:15:02.6361434Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-11-03T16:15:02.6361533Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-11-03T16:15:02.6361628Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-11-03T16:15:02.6361728Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-11-03T16:15:02.6361820Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-11-03T16:15:02.6361910Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-11-03T16:15:02.6362008Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-11-03T16:15:02.6362100Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-11-03T16:15:02.6362200Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-11-03T16:15:02.6362304Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-11-03T16:15:02.6362397Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-11-03T16:15:02.6362497Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-11-03T16:15:02.6362626Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-11-03T16:15:02.6362726Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-11-03T16:15:02.6362819Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-11-03T16:15:02.6362919Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-11-03T16:15:02.6363014Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-11-03T16:15:02.6365490Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-11-03T16:15:02.6365726Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-11-03T16:15:02.6368702Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-11-03T16:15:02.6368930Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-11-03T16:15:02.6374246Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-11-03T16:15:02.6378355Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-11-03T16:15:02.6382995Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-11-03T16:15:02.6385168Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-11-03T16:15:02.6390072Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-11-03T16:15:02.6394916Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-11-03T16:15:02.6395059Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-11-03T16:15:02.6395163Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-11-03T16:15:02.6395255Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-11-03T16:15:02.6395548Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-11-03T16:15:02.6395645Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-11-03T16:15:02.6395737Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-11-03T16:15:02.6395844Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-11-03T16:15:02.6395934Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-11-03T16:15:02.6396043Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-11-03T16:15:02.6396133Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-11-03T16:15:02.6396223Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-11-03T16:15:02.6396325Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-11-03T16:15:02.6396415Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-11-03T16:15:02.6396514Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-11-03T16:15:02.6396604Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-11-03T16:15:02.6396700Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-11-03T16:15:02.6396792Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-11-03T16:15:02.6396882Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-11-03T16:15:02.6396978Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-11-03T16:15:02.6397067Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-11-03T16:15:02.6397164Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-11-03T16:15:02.6397253Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-11-03T16:15:02.6397350Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-11-03T16:15:02.6397453Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-11-03T16:15:02.6397543Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-11-03T16:15:02.6397641Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-11-03T16:15:02.6397789Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-11-03T16:15:02.6397880Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-11-03T16:15:02.6397978Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-11-03T16:15:02.6398067Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-11-03T16:15:02.6398167Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-11-03T16:15:02.6398382Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-11-03T16:15:02.6398486Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-11-03T16:15:02.6398584Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-11-03T16:15:02.6398686Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-11-03T16:15:02.6398791Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-11-03T16:15:02.6398892Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-11-03T16:15:02.6398998Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-11-03T16:15:02.6399094Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-11-03T16:15:02.6399191Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-11-03T16:15:02.6399297Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-11-03T16:15:02.6399395Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-11-03T16:15:02.6399502Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-11-03T16:15:02.6399600Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-11-03T16:15:02.6399754Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-11-03T16:15:02.6399857Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-11-03T16:15:02.6399943Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-11-03T16:15:02.6400040Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-11-03T16:15:02.6400131Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-11-03T16:15:02.6404703Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-11-03T16:15:02.6408675Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-11-03T16:15:02.6413199Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-11-03T16:15:02.6415048Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-11-03T16:15:02.6415258Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-11-03T16:15:02.6420137Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-11-03T16:15:02.6420386Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-11-03T16:15:02.6420498Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-11-03T16:15:02.6420603Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-11-03T16:15:02.6420848Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-11-03T16:15:02.6420991Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-11-03T16:15:02.6421183Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-11-03T16:15:02.6421775Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-11-03T16:15:02.6421930Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-11-03T16:15:02.6422062Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-11-03T16:15:02.6422192Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-11-03T16:15:02.6422316Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-11-03T16:15:02.6422565Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-11-03T16:15:02.6422680Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-11-03T16:15:02.6422804Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-11-03T16:15:02.6422916Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-11-03T16:15:02.6423034Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-11-03T16:15:02.6423143Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-11-03T16:15:02.6423263Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-11-03T16:15:02.6423378Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-11-03T16:15:02.6423489Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-11-03T16:15:02.6423613Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-11-03T16:15:02.6423724Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-11-03T16:15:02.6423842Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-11-03T16:15:02.6423952Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-11-03T16:15:02.6424064Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-11-03T16:15:02.6424182Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-11-03T16:15:02.6424294Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-11-03T16:15:02.6424451Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-11-03T16:15:02.6424564Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-11-03T16:15:02.6424687Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-11-03T16:15:02.6424798Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-11-03T16:15:02.6424907Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-11-03T16:15:02.6425025Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-11-03T16:15:02.6425136Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-11-03T16:15:02.6425263Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-11-03T16:15:02.6425377Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-11-03T16:15:02.6425495Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-11-03T16:15:02.6425604Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-11-03T16:15:02.6425718Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-11-03T16:15:02.6426016Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-11-03T16:15:02.6426150Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-11-03T16:15:02.6427548Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-11-03T16:15:02.6427788Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-11-03T16:15:02.6427927Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-11-03T16:15:02.6428049Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-11-03T16:15:02.6428503Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-11-03T16:15:02.6428860Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-11-03T16:15:02.6430699Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-11-03T16:15:02.6431002Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-11-03T16:15:02.6431177Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-11-03T16:15:02.6431307Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-11-03T16:15:02.6431599Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-11-03T16:15:02.6433721Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-11-03T16:15:02.6434048Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-11-03T16:15:02.6434207Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-11-03T16:15:02.6434345Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-11-03T16:15:02.6434636Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-11-03T16:15:02.6435156Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-11-03T16:15:02.6435970Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-11-03T16:15:02.6436136Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-11-03T16:15:02.6437151Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-11-03T16:15:02.6437568Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-11-03T16:15:02.6438126Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-11-03T16:15:02.6438499Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-11-03T16:15:02.6440287Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-11-03T16:15:02.6440600Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-11-03T16:15:02.6444101Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-11-03T16:15:02.6448913Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-11-03T16:15:02.6454114Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-11-03T16:15:02.6458296Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-11-03T16:15:02.6462300Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-11-03T16:15:02.6466550Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-11-03T16:15:02.6471293Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-11-03T16:15:02.6473250Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-11-03T16:15:02.6473428Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-11-03T16:15:02.6473544Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-11-03T16:15:02.6473657Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-11-03T16:15:02.6473780Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-11-03T16:15:02.6473893Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-11-03T16:15:02.6474012Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-11-03T16:15:02.6474127Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-11-03T16:15:02.6474237Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-11-03T16:15:02.6474394Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-11-03T16:15:02.6474728Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-11-03T16:15:02.6474852Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-11-03T16:15:02.6474968Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-11-03T16:15:02.6475093Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-11-03T16:15:02.6475206Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-11-03T16:15:02.6475327Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-11-03T16:15:02.6475458Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-11-03T16:15:02.6475573Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-11-03T16:15:02.6475693Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-11-03T16:15:02.6475809Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-11-03T16:15:02.6475923Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-11-03T16:15:02.6476046Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-11-03T16:15:02.6476164Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-11-03T16:15:02.6476289Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-11-03T16:15:02.6476403Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-11-03T16:15:02.6476579Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-11-03T16:15:02.6476698Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-11-03T16:15:02.6476809Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-11-03T16:15:02.6476933Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-11-03T16:15:02.6477047Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-11-03T16:15:02.6477165Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-11-03T16:15:02.6477277Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-11-03T16:15:02.6477389Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-11-03T16:15:02.6477510Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-11-03T16:15:02.6477625Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-11-03T16:15:02.6477746Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-11-03T16:15:02.6477862Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-11-03T16:15:02.6477985Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-11-03T16:15:02.6478097Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-11-03T16:15:02.6478325Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-11-03T16:15:02.6478460Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-11-03T16:15:02.6478574Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-11-03T16:15:02.6478708Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-11-03T16:15:02.6478837Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-11-03T16:15:02.6478960Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-11-03T16:15:02.6479095Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-11-03T16:15:02.6479261Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-11-03T16:15:02.6479399Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-11-03T16:15:02.6479525Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-11-03T16:15:02.6479648Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-11-03T16:15:02.6479761Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-11-03T16:15:02.6479876Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-11-03T16:15:02.6480004Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-11-03T16:15:02.6480119Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-11-03T16:15:02.6480237Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-11-03T16:15:02.6480352Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-11-03T16:15:02.6480472Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-11-03T16:15:02.6480584Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-11-03T16:15:02.6480702Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-11-03T16:15:02.6480824Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-11-03T16:15:02.6484063Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-11-03T16:15:02.6484248Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-11-03T16:15:02.6484367Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-11-03T16:15:02.6484553Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-11-03T16:15:02.6488635Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-11-03T16:15:02.6492450Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-11-03T16:15:02.6494324Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-11-03T16:15:02.6494480Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-11-03T16:15:02.6494591Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-11-03T16:15:02.6494700Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-11-03T16:15:02.6494829Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-11-03T16:15:02.6494940Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-11-03T16:15:02.6495055Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-11-03T16:15:02.6495165Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-11-03T16:15:02.6495281Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-11-03T16:15:02.6495387Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-11-03T16:15:02.6495495Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-11-03T16:15:02.6495612Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-11-03T16:15:02.6495718Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-11-03T16:15:02.6495835Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-11-03T16:15:02.6495944Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-11-03T16:15:02.6496052Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-11-03T16:15:02.6496298Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-11-03T16:15:02.6496405Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-11-03T16:15:02.6496519Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-11-03T16:15:02.6500949Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-11-03T16:15:02.6502756Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-11-03T16:15:02.6503047Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-11-03T16:15:02.6503196Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-11-03T16:15:02.6503324Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-11-03T16:15:02.6503562Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-11-03T16:15:02.6503709Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-11-03T16:15:02.6503823Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-11-03T16:15:02.6504067Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-11-03T16:15:02.6504197Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-11-03T16:15:02.6504317Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-11-03T16:15:02.6504717Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-11-03T16:15:02.6505289Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-11-03T16:15:02.6505495Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-11-03T16:15:02.6505712Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-11-03T16:15:02.6505839Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-11-03T16:15:02.6506060Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-11-03T16:15:02.6506508Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-11-03T16:15:02.6506651Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-11-03T16:15:02.6506768Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-11-03T16:15:02.6506886Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-11-03T16:15:02.6507009Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-11-03T16:15:02.6507128Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-11-03T16:15:02.6510834Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-11-03T16:15:02.6511096Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-11-03T16:15:02.6511243Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-11-03T16:15:02.6511357Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-11-03T16:15:02.6511472Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-11-03T16:15:02.6511582Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-11-03T16:15:02.6511809Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-11-03T16:15:02.6511941Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-11-03T16:15:02.6512048Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-11-03T16:15:02.6512274Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-11-03T16:15:02.6512559Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-11-03T16:15:02.6512681Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-11-03T16:15:02.6512789Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-11-03T16:15:02.6512904Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-11-03T16:15:02.6513273Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-11-03T16:15:02.6513608Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-11-03T16:15:02.6514646Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-11-03T16:15:02.6515184Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-11-03T16:15:02.6515650Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-11-03T16:15:02.6516188Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-11-03T16:15:02.6516880Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-11-03T16:15:02.6517339Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-11-03T16:15:02.6518316Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-11-03T16:15:02.6518557Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-11-03T16:15:02.6518986Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-11-03T16:15:02.6523402Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-11-03T16:15:02.6523563Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-11-03T16:15:02.6523690Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-11-03T16:15:02.6523813Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-11-03T16:15:02.6523926Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-11-03T16:15:02.6524050Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-11-03T16:15:02.6524164Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-11-03T16:15:02.6524444Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-11-03T16:15:02.6524580Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-11-03T16:15:02.6528479Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-11-03T16:15:02.6528787Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-11-03T16:15:02.6528925Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-11-03T16:15:02.6529065Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-11-03T16:15:02.6529306Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-11-03T16:15:02.6529450Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-11-03T16:15:02.6530050Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-11-03T16:15:02.6530193Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-11-03T16:15:02.6530311Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-11-03T16:15:02.6530459Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-11-03T16:15:02.6530804Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-11-03T16:15:02.6532018Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-11-03T16:15:02.6532485Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-11-03T16:15:02.6532631Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-11-03T16:15:02.6534815Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-11-03T16:15:02.6534962Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-11-03T16:15:02.6535155Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-11-03T16:15:02.6535624Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-11-03T16:15:02.6537189Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-11-03T16:15:02.6537488Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-11-03T16:15:02.6537623Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-11-03T16:15:02.6537908Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-11-03T16:15:02.6539438Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-11-03T16:15:02.6539749Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-11-03T16:15:02.6539900Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-11-03T16:15:02.6540293Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-11-03T16:15:02.6541768Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-11-03T16:15:02.6542388Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-11-03T16:15:02.6542679Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-11-03T16:15:02.6542826Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-11-03T16:15:02.6543146Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-11-03T16:15:02.6544646Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-11-03T16:15:02.6544982Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-11-03T16:15:02.6545116Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-11-03T16:15:02.6545417Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-11-03T16:15:02.6547601Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-11-03T16:15:02.6547930Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-11-03T16:15:02.6548132Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-11-03T16:15:02.6548275Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-11-03T16:15:02.6548483Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-11-03T16:15:02.6549356Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-11-03T16:15:02.6549937Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-11-03T16:15:02.6550200Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-11-03T16:15:02.6553443Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-11-03T16:15:02.6553671Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-11-03T16:15:02.6553824Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-11-03T16:15:02.6553939Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-11-03T16:15:02.6554065Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-11-03T16:15:02.6554367Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-11-03T16:15:02.6555269Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-11-03T16:15:02.6556150Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-11-03T16:15:02.6556795Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-11-03T16:15:02.6557169Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-11-03T16:15:02.6557536Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-11-03T16:15:02.6558069Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-11-03T16:15:02.6558627Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-11-03T16:15:02.6559166Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-11-03T16:15:02.6562760Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-11-03T16:15:02.6563048Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-11-03T16:15:02.6563196Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-11-03T16:15:02.6563377Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-11-03T16:15:02.6563525Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-11-03T16:15:02.6563641Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-11-03T16:15:02.6564032Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-11-03T16:15:02.6564600Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-11-03T16:15:02.6564758Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-11-03T16:15:02.6564895Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-11-03T16:15:02.6565023Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-11-03T16:15:02.6565301Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-11-03T16:15:02.6565449Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-11-03T16:15:02.6565999Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-11-03T16:15:02.6566662Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-11-03T16:15:02.6567357Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-11-03T16:15:02.6567490Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-11-03T16:15:02.6567927Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-11-03T16:15:02.6581438Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-11-03T16:15:02.6581698Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-11-03T16:15:02.6581828Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-11-03T16:15:02.6581960Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-11-03T16:15:02.6582229Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-11-03T16:15:02.6582355Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-11-03T16:15:02.6582481Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-11-03T16:15:02.6582731Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-11-03T16:15:02.6583365Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-11-03T16:15:02.6583743Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-11-03T16:15:02.6583873Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-11-03T16:15:02.6583988Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-11-03T16:15:02.6584113Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-11-03T16:15:02.6584226Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-11-03T16:15:02.6584348Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-11-03T16:15:02.6584470Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-11-03T16:15:02.6584585Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-11-03T16:15:02.6584704Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-11-03T16:15:02.6584819Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-11-03T16:15:02.6584937Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-11-03T16:15:02.6585049Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-11-03T16:15:02.6585160Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-11-03T16:15:02.6585280Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-11-03T16:15:02.6585392Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-11-03T16:15:02.6585571Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-11-03T16:15:02.6585687Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-11-03T16:15:02.6585815Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-11-03T16:15:02.6585930Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-11-03T16:15:02.6586045Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-11-03T16:15:02.6586169Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-11-03T16:15:02.6586285Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-11-03T16:15:02.6586416Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-11-03T16:15:02.6586528Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-11-03T16:15:02.6586643Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-11-03T16:15:02.6586764Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-11-03T16:15:02.6586878Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-11-03T16:15:02.6587002Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-11-03T16:15:02.6587294Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-11-03T16:15:02.6587439Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-11-03T16:15:02.6587852Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-11-03T16:15:02.6588659Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-11-03T16:15:02.6588789Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-11-03T16:15:02.6591710Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-11-03T16:15:02.6592017Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-11-03T16:15:02.6592399Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-11-03T16:15:02.6592542Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-11-03T16:15:02.6592659Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-11-03T16:15:02.6592897Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-11-03T16:15:02.6593548Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-11-03T16:15:02.6594051Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-11-03T16:15:02.6594204Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-11-03T16:15:02.6594375Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-11-03T16:15:02.6594508Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-11-03T16:15:02.6595039Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-11-03T16:15:02.6595358Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-11-03T16:15:02.6596148Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-11-03T16:15:02.6596519Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-11-03T16:15:02.6596972Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-11-03T16:15:02.6597361Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-11-03T16:15:02.6598076Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-11-03T16:15:02.6598531Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-11-03T16:15:02.6599112Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-11-03T16:15:02.6599592Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-11-03T16:15:02.6600104Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-11-03T16:15:02.6600571Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-11-03T16:15:02.6601106Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-11-03T16:15:02.6601902Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-11-03T16:15:02.6602260Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-11-03T16:15:02.6603998Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-11-03T16:15:02.6604307Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-11-03T16:15:02.6604475Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-11-03T16:15:02.6604655Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-11-03T16:15:02.6604939Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-11-03T16:15:02.6605995Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-11-03T16:15:02.6606151Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-11-03T16:15:02.6606556Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-11-03T16:15:02.6606942Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-11-03T16:15:02.6609418Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-11-03T16:15:02.6609737Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-11-03T16:15:02.6609938Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-11-03T16:15:02.6610324Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-11-03T16:15:02.6610455Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-11-03T16:15:02.6610603Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-11-03T16:15:02.6611223Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-11-03T16:15:02.6611376Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-11-03T16:15:02.6611537Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-11-03T16:15:02.6612093Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-11-03T16:15:02.6612576Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-11-03T16:15:02.6612986Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-11-03T16:15:02.6615834Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-11-03T16:15:02.6616103Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-11-03T16:15:02.6616230Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-11-03T16:15:02.7102499Z [command]/usr/bin/git rev-parse --verify --quiet 3f6538febd727b782e6e13cfd026a309fb14351d^{object}
2025-11-03T16:15:02.7132380Z 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:15:02.7133503Z ##[endgroup]
2025-11-03T16:15:02.7133708Z ##[group]Determining the checkout info
2025-11-03T16:15:02.7137053Z ##[endgroup]
2025-11-03T16:15:02.7138404Z [command]/usr/bin/git sparse-checkout disable
2025-11-03T16:15:02.7169446Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-11-03T16:15:02.7216376Z ##[group]Checking out the ref
2025-11-03T16:15:02.7216702Z [command]/usr/bin/git checkout --progress --force 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:15:03.7529393Z Updating files:  99% (19814/20004)
2025-11-03T16:15:03.7531267Z Updating files: 100% (20004/20004)
2025-11-03T16:15:03.7531625Z Updating files: 100% (20004/20004), done.
2025-11-03T16:15:03.7748493Z Note: switching to '3f6538febd727b782e6e13cfd026a309fb14351d'.
2025-11-03T16:15:03.7752427Z 
2025-11-03T16:15:03.7752647Z You are in 'detached HEAD' state. You can look around, make experimental
2025-11-03T16:15:03.7753130Z changes and commit them, and you can discard any commits you make in this
2025-11-03T16:15:03.7753467Z state without impacting any branches by switching back to a branch.
2025-11-03T16:15:03.7753663Z 
2025-11-03T16:15:03.7753796Z If you want to create a new branch to retain commits you create, you may
2025-11-03T16:15:03.7754144Z do so (now or later) by using -c with the switch command. Example:
2025-11-03T16:15:03.7754315Z 
2025-11-03T16:15:03.7754408Z   git switch -c <new-branch-name>
2025-11-03T16:15:03.7754537Z 
2025-11-03T16:15:03.7754614Z Or undo this operation with:
2025-11-03T16:15:03.7754763Z 
2025-11-03T16:15:03.7754829Z   git switch -
2025-11-03T16:15:03.7754928Z 
2025-11-03T16:15:03.7755080Z Turn off this advice by setting config variable advice.detachedHead to false
2025-11-03T16:15:03.7755281Z 
2025-11-03T16:15:03.7755411Z HEAD is now at 3f6538febd7 Remove tools from BC linter (#166858)
2025-11-03T16:15:03.7805194Z ##[endgroup]
2025-11-03T16:15:03.7807683Z ##[group]Setting up auth for fetching submodules
2025-11-03T16:15:03.7808204Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-11-03T16:15:03.7866605Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-11-03T16:15:03.7902774Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-11-03T16:15:03.7921117Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-11-03T16:15:03.7951292Z ##[endgroup]
2025-11-03T16:15:03.7951730Z ##[group]Fetching submodules
2025-11-03T16:15:03.7952232Z [command]/usr/bin/git submodule sync --recursive
2025-11-03T16:15:03.8351092Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-11-03T16:15:03.8668916Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-11-03T16:15:03.8669593Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-11-03T16:15:03.8670141Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-11-03T16:15:03.8674620Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-11-03T16:15:03.8675193Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-11-03T16:15:03.8675855Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-11-03T16:15:03.8676547Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-11-03T16:15:03.8677049Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-11-03T16:15:03.8677753Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-11-03T16:15:03.8683375Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-11-03T16:15:03.8684500Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-11-03T16:15:03.8685087Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-11-03T16:15:03.8689454Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-11-03T16:15:03.8690258Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-11-03T16:15:03.8690796Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-11-03T16:15:03.8691391Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-11-03T16:15:03.8696887Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-11-03T16:15:03.8697794Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-11-03T16:15:03.8698454Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:15:03.8699232Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-11-03T16:15:03.8705372Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-11-03T16:15:03.8707499Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-11-03T16:15:03.8708024Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-11-03T16:15:03.8708508Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-11-03T16:15:03.8712747Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-11-03T16:15:03.8713476Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-11-03T16:15:03.8714250Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-11-03T16:15:03.8716824Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-11-03T16:15:03.8723480Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-11-03T16:15:03.8724293Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-11-03T16:15:03.8728115Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-11-03T16:15:03.8728906Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-11-03T16:15:03.8733057Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-11-03T16:15:03.8733970Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-11-03T16:15:03.8734983Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-11-03T16:15:03.8740689Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-11-03T16:15:03.8741270Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-11-03T16:15:03.8778161Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-11-03T16:15:04.1333266Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-11-03T16:15:04.1333813Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-11-03T16:15:04.1334286Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-11-03T16:15:04.1334752Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-11-03T16:15:04.1361363Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-11-03T16:15:04.4525310Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-11-03T16:15:04.4525841Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-11-03T16:15:04.4526328Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-11-03T16:15:04.4526868Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-11-03T16:15:04.4527336Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-11-03T16:15:04.4527775Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-11-03T16:15:04.4528269Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-11-03T16:15:04.4528765Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-11-03T16:15:04.4593057Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-11-03T16:15:05.7819514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-11-03T16:15:05.7820368Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-11-03T16:15:05.7821022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-11-03T16:15:05.7821517Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-11-03T16:15:05.7822072Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-11-03T16:15:05.7823079Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-11-03T16:15:05.7823727Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-11-03T16:15:05.7824400Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-11-03T16:15:05.7824834Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-11-03T16:15:05.7825373Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-11-03T16:15:05.7826032Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-11-03T16:15:05.7826649Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-11-03T16:15:05.8496040Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-11-03T16:15:17.2705674Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-11-03T16:15:17.2710779Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-11-03T16:15:17.2714890Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-11-03T16:15:17.2715337Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-11-03T16:15:17.2715766Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-11-03T16:15:17.2716221Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-11-03T16:15:17.2716608Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-11-03T16:15:17.2717286Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-11-03T16:15:17.2717722Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-11-03T16:15:17.2844282Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-11-03T16:15:17.2953383Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-11-03T16:15:17.3037038Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-11-03T16:15:17.3240297Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-11-03T16:15:17.3896527Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-11-03T16:15:17.4345055Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-11-03T16:15:17.9557725Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-11-03T16:15:18.0978655Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-11-03T16:15:18.0996712Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:15:18.1025842Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-11-03T16:15:21.9678601Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-11-03T16:15:21.9885613Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-11-03T16:15:22.2479560Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-11-03T16:15:22.2874253Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-11-03T16:15:22.3711809Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-11-03T16:15:22.4130696Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-11-03T16:15:22.9287498Z Submodule path 'third_party/cutlass': checked out 'f3fde58372d33e9a5650ba7b80fc48b3b49d40c8'
2025-11-03T16:15:23.0467569Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-11-03T16:15:23.0483460Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-11-03T16:15:23.0484462Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:15:23.0485480Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:15:23.0488820Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-11-03T16:15:23.0489569Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-11-03T16:15:23.0494256Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:15:23.0495224Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-11-03T16:15:23.0520289Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-11-03T16:15:24.2146957Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-11-03T16:15:24.2152257Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-11-03T16:15:24.2153176Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-11-03T16:15:24.3146034Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-11-03T16:15:26.8438347Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-11-03T16:15:26.9436872Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-11-03T16:15:29.9199646Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-11-03T16:15:30.1853807Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-11-03T16:15:30.2730355Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-11-03T16:15:30.7873625Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-11-03T16:15:30.8277743Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:15:30.8397577Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-11-03T16:15:30.9288737Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-11-03T16:15:30.9880125Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-11-03T16:15:30.9899744Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:15:30.9900826Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:15:30.9928449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-11-03T16:15:34.8405899Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-11-03T16:15:35.0270106Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-11-03T16:15:35.4948899Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-11-03T16:15:35.6032884Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-11-03T16:15:35.6305237Z Submodule path 'third_party/fmt': checked out 'e424e3f2e607da02742f73db84873b8084fc714c'
2025-11-03T16:15:35.6654290Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-11-03T16:15:35.6861963Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-11-03T16:15:35.7270281Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:15:35.7391766Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-11-03T16:15:35.7412767Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-11-03T16:15:35.7443792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-11-03T16:15:52.1465552Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-11-03T16:15:52.1635126Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-11-03T16:15:52.2453029Z Submodule path 'third_party/kineto': checked out '6fcbc53d33dd275c0aba1e5d7701d471b7f6eeb3'
2025-11-03T16:15:52.2472481Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:15:52.2475702Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:15:52.2476525Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:15:52.2511078Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-11-03T16:15:53.6194171Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-11-03T16:15:53.8113532Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-11-03T16:15:53.9244907Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-11-03T16:15:53.9261535Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:15:53.9262486Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:15:53.9263348Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:15:53.9264104Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:15:53.9264793Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:15:53.9269590Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:15:53.9270517Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:15:53.9271494Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:15:53.9272688Z 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'
2025-11-03T16:15:53.9301544Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-11-03T16:15:56.0826587Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-11-03T16:15:56.0831565Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-11-03T16:15:56.0834047Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-11-03T16:15:56.0834731Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-11-03T16:15:56.0835366Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-11-03T16:15:56.0836029Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-11-03T16:15:56.0836680Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-11-03T16:15:56.1832235Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-11-03T16:16:00.9103062Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-11-03T16:16:00.9267797Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-11-03T16:16:00.9588124Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-11-03T16:16:00.9725270Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-11-03T16:16:00.9741225Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:16:00.9767304Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-11-03T16:16:01.2929102Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-11-03T16:16:01.3099792Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-11-03T16:16:01.3514222Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:16:01.4405281Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-11-03T16:16:01.4556644Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-11-03T16:16:01.4700691Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-11-03T16:16:01.4715746Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:01.4718684Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:01.4745614Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-11-03T16:16:03.8175082Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-11-03T16:16:04.0345937Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-11-03T16:16:04.0766344Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-11-03T16:16:04.1072731Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-11-03T16:16:04.1470119Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:16:04.1927830Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-11-03T16:16:04.2264779Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-11-03T16:16:04.3355258Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-11-03T16:16:04.6204775Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-11-03T16:16:04.6237936Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:04.6277076Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-11-03T16:16:05.8189350Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-11-03T16:16:05.8737941Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-11-03T16:16:05.8755357Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:05.8756360Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:05.8757065Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:05.8757737Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:05.8758767Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:05.8759678Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:05.8760609Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:05.8763549Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:05.8795694Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-11-03T16:16:06.3649627Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-11-03T16:16:06.3651117Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-11-03T16:16:06.3652244Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-11-03T16:16:06.3653343Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-11-03T16:16:06.4650632Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-11-03T16:16:06.9071525Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-11-03T16:16:12.8406113Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-11-03T16:16:13.5596588Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-11-03T16:16:13.5962162Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-11-03T16:16:13.6128429Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-11-03T16:16:13.7040900Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-11-03T16:16:13.7171165Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-11-03T16:16:13.7312637Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-11-03T16:16:13.7450695Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-11-03T16:16:13.7466828Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:13.7468493Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:13.7493519Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-11-03T16:16:15.8330304Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-11-03T16:16:16.0454183Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-11-03T16:16:16.0836874Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-11-03T16:16:16.4043427Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-11-03T16:16:16.4161934Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-11-03T16:16:16.6363315Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-11-03T16:16:16.6385255Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:16.6387581Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:16.6416991Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-11-03T16:16:17.2209577Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-11-03T16:16:17.5831594Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-11-03T16:16:17.6446829Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-11-03T16:16:17.6543473Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-11-03T16:16:17.6661052Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-11-03T16:16:17.7011178Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-11-03T16:16:17.7262297Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-11-03T16:16:17.7637616Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-11-03T16:16:17.7867568Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075'
2025-11-03T16:16:17.7889097Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:16:17.7894862Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:16:17.7895650Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:16:17.7896649Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:16:17.7917004Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-11-03T16:16:18.6820206Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-11-03T16:16:18.7823139Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-11-03T16:16:19.0091172Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-11-03T16:16:19.0588497Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-11-03T16:16:19.0745072Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-11-03T16:16:19.1367339Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-11-03T16:16:19.1631463Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-11-03T16:16:19.1651917Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:19.1676075Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-11-03T16:16:19.4020937Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-11-03T16:16:19.4058468Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-11-03T16:16:19.4385701Z Entering 'android/libs/fbjni'
2025-11-03T16:16:19.4433013Z Entering 'third_party/FP16'
2025-11-03T16:16:19.4475445Z Entering 'third_party/FXdiv'
2025-11-03T16:16:19.4519831Z Entering 'third_party/NNPACK'
2025-11-03T16:16:19.4558168Z Entering 'third_party/NVTX'
2025-11-03T16:16:19.4597156Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:16:19.4638571Z Entering 'third_party/XNNPACK'
2025-11-03T16:16:19.4700237Z Entering 'third_party/aiter'
2025-11-03T16:16:19.4741344Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:16:19.4786963Z Entering 'third_party/benchmark'
2025-11-03T16:16:19.4829354Z Entering 'third_party/composable_kernel'
2025-11-03T16:16:19.4877272Z Entering 'third_party/cpp-httplib'
2025-11-03T16:16:19.4918033Z Entering 'third_party/cpuinfo'
2025-11-03T16:16:19.4961278Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:16:19.5007974Z Entering 'third_party/cutlass'
2025-11-03T16:16:19.5059569Z Entering 'third_party/fbgemm'
2025-11-03T16:16:19.5102532Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:16:19.5146297Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:16:19.5192164Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:16:19.5232172Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:16:19.5277501Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:16:19.5320397Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:16:19.5359456Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:16:19.5405685Z Entering 'third_party/flash-attention'
2025-11-03T16:16:19.5448441Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:16:19.5502363Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:16:19.5554732Z Entering 'third_party/flatbuffers'
2025-11-03T16:16:19.5597013Z Entering 'third_party/fmt'
2025-11-03T16:16:19.5642604Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:16:19.5679366Z Entering 'third_party/gloo'
2025-11-03T16:16:19.5726770Z Entering 'third_party/googletest'
2025-11-03T16:16:19.5765090Z Entering 'third_party/ideep'
2025-11-03T16:16:19.5806555Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:16:19.5855870Z Entering 'third_party/ittapi'
2025-11-03T16:16:19.5904621Z Entering 'third_party/kineto'
2025-11-03T16:16:19.5944915Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:16:19.5980676Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:16:19.6029469Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:16:19.6064064Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:16:19.6106096Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:16:19.6143543Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:16:19.6189105Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:16:19.6232400Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:16:19.6275667Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:16:19.6316263Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:16:19.6355616Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:16:19.6398624Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:19.6437585Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:19.6486176Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:16:19.6532481Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:16:19.6572962Z Entering 'third_party/kleidiai'
2025-11-03T16:16:19.6618872Z Entering 'third_party/mimalloc'
2025-11-03T16:16:19.6652597Z Entering 'third_party/nlohmann'
2025-11-03T16:16:19.6698814Z Entering 'third_party/onnx'
2025-11-03T16:16:19.6752264Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:19.6793432Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:16:19.6831672Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:19.6870001Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:19.6914994Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:19.6955323Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:19.6997533Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:19.7039251Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:19.7077943Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:19.7119372Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:19.7160631Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:19.7216618Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:19.7268408Z Entering 'third_party/pocketfft'
2025-11-03T16:16:19.7311533Z Entering 'third_party/protobuf'
2025-11-03T16:16:19.7351295Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:19.7395810Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:19.7444974Z Entering 'third_party/psimd'
2025-11-03T16:16:19.7484476Z Entering 'third_party/pthreadpool'
2025-11-03T16:16:19.7526311Z Entering 'third_party/pybind11'
2025-11-03T16:16:19.7564838Z Entering 'third_party/python-peachpy'
2025-11-03T16:16:19.7611314Z Entering 'third_party/sleef'
2025-11-03T16:16:19.7652280Z Entering 'third_party/tensorpipe'
2025-11-03T16:16:19.7694171Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:16:19.7732542Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:16:19.7779361Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:16:19.7821589Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:16:19.7856473Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:19.7918885Z ##[endgroup]
2025-11-03T16:16:19.7919510Z ##[group]Persisting credentials for submodules
2025-11-03T16:16:19.7926040Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-11-03T16:16:19.8250806Z Entering 'android/libs/fbjni'
2025-11-03T16:16:19.8309493Z Entering 'third_party/FP16'
2025-11-03T16:16:19.8364236Z Entering 'third_party/FXdiv'
2025-11-03T16:16:19.8424329Z Entering 'third_party/NNPACK'
2025-11-03T16:16:19.8482429Z Entering 'third_party/NVTX'
2025-11-03T16:16:19.8544984Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:16:19.8597950Z Entering 'third_party/XNNPACK'
2025-11-03T16:16:19.8666007Z Entering 'third_party/aiter'
2025-11-03T16:16:19.8725985Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:16:19.8788628Z Entering 'third_party/benchmark'
2025-11-03T16:16:19.8848555Z Entering 'third_party/composable_kernel'
2025-11-03T16:16:19.8913792Z Entering 'third_party/cpp-httplib'
2025-11-03T16:16:19.8968456Z Entering 'third_party/cpuinfo'
2025-11-03T16:16:19.9029049Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:16:19.9086404Z Entering 'third_party/cutlass'
2025-11-03T16:16:19.9148694Z Entering 'third_party/fbgemm'
2025-11-03T16:16:19.9213858Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:16:19.9267529Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:16:19.9330567Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:16:19.9384234Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:16:19.9446951Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:16:19.9508083Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:16:19.9555173Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:16:19.9618715Z Entering 'third_party/flash-attention'
2025-11-03T16:16:19.9671550Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:16:19.9733579Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:16:19.9800739Z Entering 'third_party/flatbuffers'
2025-11-03T16:16:19.9859646Z Entering 'third_party/fmt'
2025-11-03T16:16:19.9918974Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:16:19.9980254Z Entering 'third_party/gloo'
2025-11-03T16:16:20.0037458Z Entering 'third_party/googletest'
2025-11-03T16:16:20.0099152Z Entering 'third_party/ideep'
2025-11-03T16:16:20.0150829Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:16:20.0215485Z Entering 'third_party/ittapi'
2025-11-03T16:16:20.0269315Z Entering 'third_party/kineto'
2025-11-03T16:16:20.0324237Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:16:20.0376631Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:16:20.0433717Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:16:20.0487121Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:16:20.0544930Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:16:20.0597000Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:16:20.0659459Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:16:20.0719556Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:16:20.0774143Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:16:20.0833689Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:16:20.0889841Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:16:20.0940622Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:20.0999549Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:20.1057154Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:16:20.1113276Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:16:20.1167984Z Entering 'third_party/kleidiai'
2025-11-03T16:16:20.1229176Z Entering 'third_party/mimalloc'
2025-11-03T16:16:20.1286398Z Entering 'third_party/nlohmann'
2025-11-03T16:16:20.1343381Z Entering 'third_party/onnx'
2025-11-03T16:16:20.1411173Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:20.1467978Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:16:20.1523755Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:20.1581124Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:20.1629938Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:20.1686653Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:20.1738690Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:20.1788387Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:20.1844010Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:20.1897127Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:20.1956010Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:20.2014985Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:20.2093520Z Entering 'third_party/pocketfft'
2025-11-03T16:16:20.2147641Z Entering 'third_party/protobuf'
2025-11-03T16:16:20.2205723Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:20.2258408Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:20.2315197Z Entering 'third_party/psimd'
2025-11-03T16:16:20.2373396Z Entering 'third_party/pthreadpool'
2025-11-03T16:16:20.2426155Z Entering 'third_party/pybind11'
2025-11-03T16:16:20.2483922Z Entering 'third_party/python-peachpy'
2025-11-03T16:16:20.2538438Z Entering 'third_party/sleef'
2025-11-03T16:16:20.2589837Z Entering 'third_party/tensorpipe'
2025-11-03T16:16:20.2638916Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:16:20.2696217Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:16:20.2753149Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:16:20.2813385Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:16:20.2867270Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:20.2946091Z [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"
2025-11-03T16:16:20.3263683Z Entering 'android/libs/fbjni'
2025-11-03T16:16:20.3314151Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-11-03T16:16:20.3336582Z Entering 'third_party/FP16'
2025-11-03T16:16:20.3384890Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-11-03T16:16:20.3403610Z Entering 'third_party/FXdiv'
2025-11-03T16:16:20.3451271Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-11-03T16:16:20.3465479Z Entering 'third_party/NNPACK'
2025-11-03T16:16:20.3517561Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-11-03T16:16:20.3535820Z Entering 'third_party/NVTX'
2025-11-03T16:16:20.3590228Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-11-03T16:16:20.3613128Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:16:20.3660954Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-11-03T16:16:20.3677152Z Entering 'third_party/XNNPACK'
2025-11-03T16:16:20.3728961Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-11-03T16:16:20.3761423Z Entering 'third_party/aiter'
2025-11-03T16:16:20.3807519Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-11-03T16:16:20.3823471Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:16:20.3874928Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-11-03T16:16:20.3902320Z Entering 'third_party/benchmark'
2025-11-03T16:16:20.3951215Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-11-03T16:16:20.3967421Z Entering 'third_party/composable_kernel'
2025-11-03T16:16:20.4021556Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-11-03T16:16:20.4044807Z Entering 'third_party/cpp-httplib'
2025-11-03T16:16:20.4095226Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-11-03T16:16:20.4112311Z Entering 'third_party/cpuinfo'
2025-11-03T16:16:20.4161087Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-11-03T16:16:20.4179698Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:16:20.4231410Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-11-03T16:16:20.4247553Z Entering 'third_party/cutlass'
2025-11-03T16:16:20.4299537Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-11-03T16:16:20.4326241Z Entering 'third_party/fbgemm'
2025-11-03T16:16:20.4376534Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-11-03T16:16:20.4396884Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:16:20.4443173Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-11-03T16:16:20.4460650Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:16:20.4513707Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-11-03T16:16:20.4538597Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:16:20.4586739Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-11-03T16:16:20.4604953Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:16:20.4650199Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-11-03T16:16:20.4676034Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:16:20.4727282Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-11-03T16:16:20.4742927Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:16:20.4790727Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-11-03T16:16:20.4811019Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:16:20.4858902Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-11-03T16:16:20.4884425Z Entering 'third_party/flash-attention'
2025-11-03T16:16:20.4933001Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-11-03T16:16:20.4947852Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:16:20.4995607Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-11-03T16:16:20.5017955Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:16:20.5067816Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-11-03T16:16:20.5090665Z Entering 'third_party/flatbuffers'
2025-11-03T16:16:20.5138892Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-11-03T16:16:20.5159521Z Entering 'third_party/fmt'
2025-11-03T16:16:20.5211373Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-11-03T16:16:20.5232785Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:16:20.5279956Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-11-03T16:16:20.5300011Z Entering 'third_party/gloo'
2025-11-03T16:16:20.5348468Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-11-03T16:16:20.5366010Z Entering 'third_party/googletest'
2025-11-03T16:16:20.5419821Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-11-03T16:16:20.5436017Z Entering 'third_party/ideep'
2025-11-03T16:16:20.5485600Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-11-03T16:16:20.5503677Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:16:20.5551580Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-11-03T16:16:20.5578562Z Entering 'third_party/ittapi'
2025-11-03T16:16:20.5631159Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-11-03T16:16:20.5646098Z Entering 'third_party/kineto'
2025-11-03T16:16:20.5695525Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-11-03T16:16:20.5713116Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:16:20.5763724Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
2025-11-03T16:16:20.5780521Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:16:20.5835199Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
2025-11-03T16:16:20.5851144Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:16:20.5899145Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
2025-11-03T16:16:20.5918355Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:16:20.5964861Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config	remote.origin.url
2025-11-03T16:16:20.5982352Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:16:20.6026979Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config	remote.origin.url
2025-11-03T16:16:20.6041476Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:16:20.6092013Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config	remote.origin.url
2025-11-03T16:16:20.6115417Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:16:20.6163569Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
2025-11-03T16:16:20.6181706Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:16:20.6228798Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
2025-11-03T16:16:20.6248349Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:16:20.6297006Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config	remote.origin.url
2025-11-03T16:16:20.6312196Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:16:20.6360614Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
2025-11-03T16:16:20.6380922Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:16:20.6427845Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/prometheus-cpp/config	remote.origin.url
2025-11-03T16:16:20.6443185Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:20.6494731Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
2025-11-03T16:16:20.6513131Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:20.6559834Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
2025-11-03T16:16:20.6587727Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:16:20.6638396Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2025-11-03T16:16:20.6652651Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:16:20.6711033Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2025-11-03T16:16:20.6730486Z Entering 'third_party/kleidiai'
2025-11-03T16:16:20.6786775Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config	remote.origin.url
2025-11-03T16:16:20.6807237Z Entering 'third_party/mimalloc'
2025-11-03T16:16:20.6855686Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config	remote.origin.url
2025-11-03T16:16:20.6877183Z Entering 'third_party/nlohmann'
2025-11-03T16:16:20.6927853Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2025-11-03T16:16:20.6946362Z Entering 'third_party/onnx'
2025-11-03T16:16:20.6993433Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2025-11-03T16:16:20.7028307Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:20.7076113Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2025-11-03T16:16:20.7099466Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:16:20.7153804Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config	remote.origin.url
2025-11-03T16:16:20.7173007Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:20.7218843Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
2025-11-03T16:16:20.7234609Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:20.7282691Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
2025-11-03T16:16:20.7304257Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:20.7349767Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
2025-11-03T16:16:20.7364685Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:20.7415239Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config	remote.origin.url
2025-11-03T16:16:20.7435621Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:20.7486887Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
2025-11-03T16:16:20.7502522Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:20.7549916Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config	remote.origin.url
2025-11-03T16:16:20.7567616Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:20.7615489Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config	remote.origin.url
2025-11-03T16:16:20.7629995Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:20.7677664Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
2025-11-03T16:16:20.7701046Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:20.7747011Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
2025-11-03T16:16:20.7766397Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:20.7823371Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
2025-11-03T16:16:20.7855015Z Entering 'third_party/pocketfft'
2025-11-03T16:16:20.7905657Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2025-11-03T16:16:20.7922159Z Entering 'third_party/protobuf'
2025-11-03T16:16:20.7970861Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2025-11-03T16:16:20.7988674Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:20.8033841Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2025-11-03T16:16:20.8058859Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:20.8105122Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2025-11-03T16:16:20.8123142Z Entering 'third_party/psimd'
2025-11-03T16:16:20.8176655Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-11-03T16:16:20.8196632Z Entering 'third_party/pthreadpool'
2025-11-03T16:16:20.8247608Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2025-11-03T16:16:20.8260364Z Entering 'third_party/pybind11'
2025-11-03T16:16:20.8315123Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2025-11-03T16:16:20.8327420Z Entering 'third_party/python-peachpy'
2025-11-03T16:16:20.8383749Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2025-11-03T16:16:20.8394735Z Entering 'third_party/sleef'
2025-11-03T16:16:20.8445673Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2025-11-03T16:16:20.8465254Z Entering 'third_party/tensorpipe'
2025-11-03T16:16:20.8515673Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2025-11-03T16:16:20.8532008Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:16:20.8584057Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-11-03T16:16:20.8601786Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:16:20.8651732Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-11-03T16:16:20.8666091Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:16:20.8719608Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-11-03T16:16:20.8739361Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:16:20.8786564Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-11-03T16:16:20.8806444Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:20.8856231Z 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
2025-11-03T16:16:21.0336528Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-11-03T16:16:21.0659996Z Entering 'android/libs/fbjni'
2025-11-03T16:16:21.0699670Z Entering 'third_party/FP16'
2025-11-03T16:16:21.0743485Z Entering 'third_party/FXdiv'
2025-11-03T16:16:21.0780479Z Entering 'third_party/NNPACK'
2025-11-03T16:16:21.0824247Z Entering 'third_party/NVTX'
2025-11-03T16:16:21.0863726Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:16:21.0907330Z Entering 'third_party/XNNPACK'
2025-11-03T16:16:21.0960643Z Entering 'third_party/aiter'
2025-11-03T16:16:21.1003690Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:16:21.1054448Z Entering 'third_party/benchmark'
2025-11-03T16:16:21.1099245Z Entering 'third_party/composable_kernel'
2025-11-03T16:16:21.1145005Z Entering 'third_party/cpp-httplib'
2025-11-03T16:16:21.1185035Z Entering 'third_party/cpuinfo'
2025-11-03T16:16:21.1227862Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:16:21.1265071Z Entering 'third_party/cutlass'
2025-11-03T16:16:21.1312932Z Entering 'third_party/fbgemm'
2025-11-03T16:16:21.1356674Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:16:21.1395527Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:16:21.1443125Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:16:21.1482466Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:16:21.1527315Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:16:21.1566158Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:16:21.1608048Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:16:21.1653770Z Entering 'third_party/flash-attention'
2025-11-03T16:16:21.1704384Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:16:21.1753373Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:16:21.1802282Z Entering 'third_party/flatbuffers'
2025-11-03T16:16:21.1847096Z Entering 'third_party/fmt'
2025-11-03T16:16:21.1885936Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:16:21.1925542Z Entering 'third_party/gloo'
2025-11-03T16:16:21.1962140Z Entering 'third_party/googletest'
2025-11-03T16:16:21.2007181Z Entering 'third_party/ideep'
2025-11-03T16:16:21.2045704Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:16:21.2092991Z Entering 'third_party/ittapi'
2025-11-03T16:16:21.2130940Z Entering 'third_party/kineto'
2025-11-03T16:16:21.2172592Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:16:21.2209221Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:16:21.2256307Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:16:21.2297892Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:16:21.2336314Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:16:21.2378622Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:16:21.2421077Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:16:21.2461298Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:16:21.2501162Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:16:21.2544231Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:16:21.2578901Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:16:21.2614085Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:21.2661268Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:21.2708394Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:16:21.2751877Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:16:21.2798618Z Entering 'third_party/kleidiai'
2025-11-03T16:16:21.2840382Z Entering 'third_party/mimalloc'
2025-11-03T16:16:21.2883642Z Entering 'third_party/nlohmann'
2025-11-03T16:16:21.2923788Z Entering 'third_party/onnx'
2025-11-03T16:16:21.2980207Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:21.3022523Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:16:21.3065920Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:21.3106601Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:21.3145747Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:21.3188192Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:21.3227007Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:21.3266018Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:21.3309922Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:21.3350971Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:21.3394466Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:21.3436833Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:21.3498668Z Entering 'third_party/pocketfft'
2025-11-03T16:16:21.3542956Z Entering 'third_party/protobuf'
2025-11-03T16:16:21.3583679Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:21.3623297Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:21.3665226Z Entering 'third_party/psimd'
2025-11-03T16:16:21.3708566Z Entering 'third_party/pthreadpool'
2025-11-03T16:16:21.3750442Z Entering 'third_party/pybind11'
2025-11-03T16:16:21.3794995Z Entering 'third_party/python-peachpy'
2025-11-03T16:16:21.3838087Z Entering 'third_party/sleef'
2025-11-03T16:16:21.3883236Z Entering 'third_party/tensorpipe'
2025-11-03T16:16:21.3919289Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:16:21.3959310Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:16:21.3997291Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:16:21.4039823Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:16:21.4081105Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:21.4146311Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-11-03T16:16:21.4468321Z Entering 'android/libs/fbjni'
2025-11-03T16:16:21.4506761Z Entering 'third_party/FP16'
2025-11-03T16:16:21.4551740Z Entering 'third_party/FXdiv'
2025-11-03T16:16:21.4594990Z Entering 'third_party/NNPACK'
2025-11-03T16:16:21.4640436Z Entering 'third_party/NVTX'
2025-11-03T16:16:21.4685858Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:16:21.4722869Z Entering 'third_party/XNNPACK'
2025-11-03T16:16:21.4777380Z Entering 'third_party/aiter'
2025-11-03T16:16:21.4824866Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:16:21.4871138Z Entering 'third_party/benchmark'
2025-11-03T16:16:21.4913826Z Entering 'third_party/composable_kernel'
2025-11-03T16:16:21.4956936Z Entering 'third_party/cpp-httplib'
2025-11-03T16:16:21.5006190Z Entering 'third_party/cpuinfo'
2025-11-03T16:16:21.5042883Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:16:21.5079183Z Entering 'third_party/cutlass'
2025-11-03T16:16:21.5127222Z Entering 'third_party/fbgemm'
2025-11-03T16:16:21.5168937Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:16:21.5211139Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:16:21.5258229Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:16:21.5302972Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:16:21.5348738Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:16:21.5390727Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:16:21.5429243Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:16:21.5471491Z Entering 'third_party/flash-attention'
2025-11-03T16:16:21.5511529Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:16:21.5555692Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:16:21.5605695Z Entering 'third_party/flatbuffers'
2025-11-03T16:16:21.5647971Z Entering 'third_party/fmt'
2025-11-03T16:16:21.5691295Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:16:21.5732876Z Entering 'third_party/gloo'
2025-11-03T16:16:21.5780174Z Entering 'third_party/googletest'
2025-11-03T16:16:21.5824256Z Entering 'third_party/ideep'
2025-11-03T16:16:21.5856895Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:16:21.5906995Z Entering 'third_party/ittapi'
2025-11-03T16:16:21.5948353Z Entering 'third_party/kineto'
2025-11-03T16:16:21.5989415Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:16:21.6027715Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:16:21.6064628Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:16:21.6107905Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:16:21.6151282Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:16:21.6189070Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:16:21.6231316Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:16:21.6274516Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:16:21.6317653Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:16:21.6353762Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:16:21.6399986Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:16:21.6435413Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:21.6484105Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:21.6532687Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:16:21.6568666Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:16:21.6612214Z Entering 'third_party/kleidiai'
2025-11-03T16:16:21.6651636Z Entering 'third_party/mimalloc'
2025-11-03T16:16:21.6688125Z Entering 'third_party/nlohmann'
2025-11-03T16:16:21.6736315Z Entering 'third_party/onnx'
2025-11-03T16:16:21.6789609Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:21.6831906Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:16:21.6869907Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:21.6910831Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:21.6950898Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:21.6992877Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:21.7031038Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:21.7072735Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:21.7107914Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:21.7145612Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:21.7183498Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:21.7232090Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:21.7291505Z Entering 'third_party/pocketfft'
2025-11-03T16:16:21.7335773Z Entering 'third_party/protobuf'
2025-11-03T16:16:21.7380198Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:21.7417021Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:21.7456850Z Entering 'third_party/psimd'
2025-11-03T16:16:21.7498644Z Entering 'third_party/pthreadpool'
2025-11-03T16:16:21.7537492Z Entering 'third_party/pybind11'
2025-11-03T16:16:21.7584413Z Entering 'third_party/python-peachpy'
2025-11-03T16:16:21.7629258Z Entering 'third_party/sleef'
2025-11-03T16:16:21.7666588Z Entering 'third_party/tensorpipe'
2025-11-03T16:16:21.7711723Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:16:21.7751616Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:16:21.7795538Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:16:21.7835673Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:16:21.7875857Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:21.7936208Z ##[endgroup]
2025-11-03T16:16:21.7979149Z [command]/usr/bin/git log -1 --format=%H
2025-11-03T16:16:21.8007590Z 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:16:21.8113241Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-11-03T16:16:21.8113510Z cd "${GITHUB_WORKSPACE}"
2025-11-03T16:16:21.8113721Z # Clean stale submodule dirs
2025-11-03T16:16:21.8113937Z if [ -z "${NO_SUDO}" ]; then
2025-11-03T16:16:21.8114174Z   sudo git submodule foreach --recursive git clean -ffdx
2025-11-03T16:16:21.8114528Z else
2025-11-03T16:16:21.8114738Z   git submodule foreach --recursive git clean -ffdx
2025-11-03T16:16:21.8114974Z fi
2025-11-03T16:16:21.8121388Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:21.8121641Z env:
2025-11-03T16:16:21.8121802Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:21.8121984Z   NO_SUDO: true
2025-11-03T16:16:21.8122136Z ##[endgroup]
2025-11-03T16:16:21.8456486Z Entering 'android/libs/fbjni'
2025-11-03T16:16:21.8492570Z Entering 'third_party/FP16'
2025-11-03T16:16:21.8520377Z Entering 'third_party/FXdiv'
2025-11-03T16:16:21.8549652Z Entering 'third_party/NNPACK'
2025-11-03T16:16:21.8584629Z Entering 'third_party/NVTX'
2025-11-03T16:16:21.8622012Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:16:21.8649759Z Entering 'third_party/XNNPACK'
2025-11-03T16:16:21.8753969Z Entering 'third_party/aiter'
2025-11-03T16:16:21.8787847Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:16:21.8873650Z Entering 'third_party/benchmark'
2025-11-03T16:16:21.8909538Z Entering 'third_party/composable_kernel'
2025-11-03T16:16:21.9006247Z Entering 'third_party/cpp-httplib'
2025-11-03T16:16:21.9040484Z Entering 'third_party/cpuinfo'
2025-11-03T16:16:21.9077229Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:16:21.9109519Z Entering 'third_party/cutlass'
2025-11-03T16:16:21.9189549Z Entering 'third_party/fbgemm'
2025-11-03T16:16:21.9236552Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:16:21.9267636Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:16:21.9358821Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:16:21.9393520Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:16:21.9477001Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:16:21.9512071Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:16:21.9542518Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:16:21.9585892Z Entering 'third_party/flash-attention'
2025-11-03T16:16:21.9626570Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:16:21.9703912Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:16:21.9782465Z Entering 'third_party/flatbuffers'
2025-11-03T16:16:21.9841195Z Entering 'third_party/fmt'
2025-11-03T16:16:21.9875402Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:16:21.9906575Z Entering 'third_party/gloo'
2025-11-03T16:16:21.9938782Z Entering 'third_party/googletest'
2025-11-03T16:16:21.9972747Z Entering 'third_party/ideep'
2025-11-03T16:16:22.0005477Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:16:22.0074222Z Entering 'third_party/ittapi'
2025-11-03T16:16:22.0107684Z Entering 'third_party/kineto'
2025-11-03T16:16:22.0139496Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:16:22.0176927Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:16:22.0215763Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:16:22.0246191Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:16:22.0283407Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:16:22.0310720Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:16:22.0344235Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:16:22.0375439Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:16:22.0409263Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:16:22.0447477Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:16:22.0480063Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:16:22.0512224Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:22.0553316Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:22.0597097Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:16:22.0634246Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:16:22.0669168Z Entering 'third_party/kleidiai'
2025-11-03T16:16:22.0710037Z Entering 'third_party/mimalloc'
2025-11-03T16:16:22.0745140Z Entering 'third_party/nlohmann'
2025-11-03T16:16:22.0791950Z Entering 'third_party/onnx'
2025-11-03T16:16:22.1019526Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:16:22.1058435Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:16:22.1103642Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:16:22.1131198Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:16:22.1162324Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:16:22.1196107Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:16:22.1234509Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:16:22.1266661Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:16:22.1300159Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:16:22.1329906Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:16:22.1367704Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:16:22.1402057Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:16:22.1585452Z Entering 'third_party/pocketfft'
2025-11-03T16:16:22.1618424Z Entering 'third_party/protobuf'
2025-11-03T16:16:22.1683487Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:16:22.1708311Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:16:22.1750682Z Entering 'third_party/psimd'
2025-11-03T16:16:22.1785031Z Entering 'third_party/pthreadpool'
2025-11-03T16:16:22.1815825Z Entering 'third_party/pybind11'
2025-11-03T16:16:22.1852037Z Entering 'third_party/python-peachpy'
2025-11-03T16:16:22.1883308Z Entering 'third_party/sleef'
2025-11-03T16:16:22.1913722Z Entering 'third_party/tensorpipe'
2025-11-03T16:16:22.1947659Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:16:22.1979691Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:16:22.2010168Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:16:22.2043730Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:16:22.2075663Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:16:22.2209489Z Prepare all required actions
2025-11-03T16:16:22.2209910Z Getting action download info
2025-11-03T16:16:22.3898618Z ##[group]Run ./.github/actions/setup-linux
2025-11-03T16:16:22.3898836Z env:
2025-11-03T16:16:22.3898992Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:22.3899161Z ##[endgroup]
2025-11-03T16:16:22.3938354Z ##[group]Run set -euo pipefail
2025-11-03T16:16:22.3938629Z set -euo pipefail
2025-11-03T16:16:22.3938831Z function get_ec2_metadata() {
2025-11-03T16:16:22.3939131Z   # Pulled from instance metadata endpoint for EC2
2025-11-03T16:16:22.3939576Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-11-03T16:16:22.3939926Z   category=$1
2025-11-03T16:16:22.3940170Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-11-03T16:16:22.3940447Z   runner_name_str=i-07f16d2690eac221b
2025-11-03T16:16:22.3940728Z   if [[ -f /.inarc ]]; then
2025-11-03T16:16:22.3940976Z     echo "ARC Runner, no info on ec2 metadata"
2025-11-03T16:16:22.3941318Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-11-03T16:16:22.3941634Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-11-03T16:16:22.3941915Z   else
2025-11-03T16:16:22.3942481Z     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}"
2025-11-03T16:16:22.3943017Z   fi
2025-11-03T16:16:22.3943162Z }
2025-11-03T16:16:22.3943345Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-11-03T16:16:22.3943611Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-11-03T16:16:22.3943903Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-11-03T16:16:22.3944153Z echo "system info $(uname -a)"
2025-11-03T16:16:22.3949506Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:22.3949745Z env:
2025-11-03T16:16:22.3949902Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:22.3950070Z ##[endgroup]
2025-11-03T16:16:22.4090496Z ami-id: ami-08982f1c5bf93d976
2025-11-03T16:16:22.4191038Z instance-id: i-07f16d2690eac221b
2025-11-03T16:16:22.4286908Z instance-type: m7i-flex.8xlarge
2025-11-03T16:16:22.4297177Z system info Linux ip-10-0-77-235.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-11-03T16:16:22.4325524Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-11-03T16:16:22.4325875Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-11-03T16:16:22.4331407Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:22.4331637Z env:
2025-11-03T16:16:22.4331792Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:22.4331970Z ##[endgroup]
2025-11-03T16:16:22.4381546Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:16:22.4382094Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:16:22.4386534Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:22.4386771Z env:
2025-11-03T16:16:22.4386920Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:22.4387100Z ##[endgroup]
2025-11-03T16:16:22.4444824Z ##[group]Run if systemctl is-active --quiet docker; then
2025-11-03T16:16:22.4445145Z if systemctl is-active --quiet docker; then
2025-11-03T16:16:22.4445412Z     echo "Docker daemon is running...";
2025-11-03T16:16:22.4445635Z else
2025-11-03T16:16:22.4445883Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-11-03T16:16:22.4446153Z fi
2025-11-03T16:16:22.4450356Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:22.4450595Z env:
2025-11-03T16:16:22.4450749Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:22.4450915Z ##[endgroup]
2025-11-03T16:16:22.4533841Z Docker daemon is running...
2025-11-03T16:16:22.4573087Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:16:22.4573308Z with:
2025-11-03T16:16:22.4573453Z   shell: bash
2025-11-03T16:16:22.4573613Z   timeout_minutes: 5
2025-11-03T16:16:22.4573781Z   max_attempts: 3
2025-11-03T16:16:22.4573949Z   retry_wait_seconds: 30
2025-11-03T16:16:22.4575351Z   command: AWS_ACCOUNT_ID=$(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

2025-11-03T16:16:22.4576667Z   polling_interval_seconds: 1
2025-11-03T16:16:22.4576850Z   warning_on_retry: true
2025-11-03T16:16:22.4577014Z   continue_on_error: false
2025-11-03T16:16:22.4577183Z env:
2025-11-03T16:16:22.4577329Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:22.4577506Z   AWS_RETRY_MODE: standard
2025-11-03T16:16:22.4577669Z   AWS_MAX_ATTEMPTS: 5
2025-11-03T16:16:22.4577843Z   AWS_DEFAULT_REGION: us-east-1
2025-11-03T16:16:22.4578022Z ##[endgroup]
2025-11-03T16:16:23.4063078Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:16:23.4063535Z Configure a credential helper to remove this warning. See
2025-11-03T16:16:23.4063934Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:16:23.4064179Z 
2025-11-03T16:16:23.4064263Z Login Succeeded
2025-11-03T16:16:23.5278574Z Command completed after 1 attempt(s).
2025-11-03T16:16:23.5352325Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:16:23.5352721Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:16:23.5353030Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:16:23.5360268Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:23.5360531Z env:
2025-11-03T16:16:23.5360705Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:23.5360928Z ##[endgroup]
2025-11-03T16:16:23.5477891Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:16:23.5478430Z # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:16:23.5478724Z # shellcheck disable=SC2046
2025-11-03T16:16:23.5478966Z docker stop $(docker ps -q) || true
2025-11-03T16:16:23.5479200Z # Prune all of the docker images
2025-11-03T16:16:23.5479454Z docker system prune -af
2025-11-03T16:16:23.5484926Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:23.5485191Z env:
2025-11-03T16:16:23.5485354Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:23.5485542Z ##[endgroup]
2025-11-03T16:16:23.6025827Z "docker stop" requires at least 1 argument.
2025-11-03T16:16:23.6026417Z See 'docker stop --help'.
2025-11-03T16:16:23.6026686Z 
2025-11-03T16:16:23.6026887Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-11-03T16:16:23.6027076Z 
2025-11-03T16:16:23.6027607Z Stop one or more running containers
2025-11-03T16:16:23.6236534Z Total reclaimed space: 0B
2025-11-03T16:16:23.6371948Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-11-03T16:16:23.6372246Z with:
2025-11-03T16:16:23.6372774Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:23.6373345Z   use-custom-docker-registry: true
2025-11-03T16:16:23.6373564Z   docker-build-dir: .ci/docker
2025-11-03T16:16:23.6373759Z   docker-build-script: ./build.sh
2025-11-03T16:16:23.6373961Z   working-directory: .
2025-11-03T16:16:23.6374199Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:23.6374455Z   force-push: false
2025-11-03T16:16:23.6374607Z env:
2025-11-03T16:16:23.6374760Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:23.6374938Z ##[endgroup]
2025-11-03T16:16:23.6401901Z ##[group]Run set -ex
2025-11-03T16:16:23.6402173Z set -ex
2025-11-03T16:16:23.6402347Z 
2025-11-03T16:16:23.6402664Z # If the docker build directory or the build script doesn't exist, the action will
2025-11-03T16:16:23.6403091Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-11-03T16:16:23.6403451Z # job could then download the pre-built image as usual
2025-11-03T16:16:23.6403893Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-11-03T16:16:23.6404299Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-11-03T16:16:23.6404530Z else
2025-11-03T16:16:23.6404724Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:16:23.6405019Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:16:23.6405286Z 
2025-11-03T16:16:23.6405649Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-11-03T16:16:23.6406046Z   exit 0
2025-11-03T16:16:23.6406201Z fi
2025-11-03T16:16:23.6406354Z 
2025-11-03T16:16:23.6406586Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-11-03T16:16:23.6406965Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-11-03T16:16:23.6407306Z   # use it as it is, but first let's extract the tag
2025-11-03T16:16:23.6407615Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-11-03T16:16:23.6407947Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:16:23.6408262Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:16:23.6408525Z else
2025-11-03T16:16:23.6408721Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-11-03T16:16:23.6408979Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-11-03T16:16:23.6409251Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-11-03T16:16:23.6409480Z   fi
2025-11-03T16:16:23.6409781Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-11-03T16:16:23.6410173Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:16:23.6410571Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:16:23.6411020Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:16:23.6411297Z fi
2025-11-03T16:16:23.6416186Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:23.6416419Z env:
2025-11-03T16:16:23.6416584Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:23.6416817Z   REPO_NAME: pytorch
2025-11-03T16:16:23.6417468Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:23.6418135Z   DOCKER_BUILD_DIR: .ci/docker
2025-11-03T16:16:23.6418328Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-11-03T16:16:23.6418582Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:23.6418853Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-11-03T16:16:23.6419070Z   CUSTOM_TAG_PREFIX: 
2025-11-03T16:16:23.6419247Z ##[endgroup]
2025-11-03T16:16:23.6443474Z + [[ -d .ci/docker ]]
2025-11-03T16:16:23.6444005Z + [[ -f .ci/docker/./build.sh ]]
2025-11-03T16:16:23.6444299Z + [[ true == \t\r\u\e ]]
2025-11-03T16:16:23.6444592Z + echo skip=false
2025-11-03T16:16:23.6445361Z + [[ 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* ]]
2025-11-03T16:16:23.6450362Z ++ awk -F '[:,]' '{print $2}'
2025-11-03T16:16:23.6451085Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:23.6470446Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:23.6471299Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:23.6472149Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:23.6503371Z ##[group]Run set +e
2025-11-03T16:16:23.6503603Z set +e
2025-11-03T16:16:23.6503776Z set -x
2025-11-03T16:16:23.6503933Z 
2025-11-03T16:16:23.6504079Z login() {
2025-11-03T16:16:23.6504393Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-11-03T16:16:23.6504739Z }
2025-11-03T16:16:23.6504892Z 
2025-11-03T16:16:23.6505035Z retry () {
2025-11-03T16:16:23.6505225Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-11-03T16:16:23.6505434Z }
2025-11-03T16:16:23.6505580Z 
2025-11-03T16:16:23.6505734Z retry login "${DOCKER_REGISTRY}"
2025-11-03T16:16:23.6505937Z 
2025-11-03T16:16:23.6506091Z START_TIME=$(date +%s)
2025-11-03T16:16:23.6506296Z # Wait up to 120 minutes
2025-11-03T16:16:23.6506545Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-11-03T16:16:23.6506846Z   # Check if image already exists, if it does then skip building it
2025-11-03T16:16:23.6507155Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-11-03T16:16:23.6507385Z     exit 0
2025-11-03T16:16:23.6507546Z   fi
2025-11-03T16:16:23.6507696Z 
2025-11-03T16:16:23.6507952Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-11-03T16:16:23.6508339Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-11-03T16:16:23.6508725Z   # latter, it will wait for the Docker images to become available before continuing
2025-11-03T16:16:23.6509041Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-11-03T16:16:23.6509289Z     # It's a Docker build job, let's build the image
2025-11-03T16:16:23.6509506Z     break
2025-11-03T16:16:23.6509670Z   else
2025-11-03T16:16:23.6509893Z     # It's a regular build job, wait for the image to become available
2025-11-03T16:16:23.6510139Z     sleep 300
2025-11-03T16:16:23.6510305Z   fi
2025-11-03T16:16:23.6510455Z done
2025-11-03T16:16:23.6510598Z 
2025-11-03T16:16:23.6510814Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-11-03T16:16:23.6511367Z # be empty.  The default action would be to continue rebuild the image
2025-11-03T16:16:23.6511688Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-11-03T16:16:23.6511970Z   # if we're on the base branch then use the parent commit
2025-11-03T16:16:23.6512228Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-11-03T16:16:23.6512428Z else
2025-11-03T16:16:23.6512646Z   # otherwise we're on a PR, so use the most recent base commit
2025-11-03T16:16:23.6512943Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-11-03T16:16:23.6513172Z fi
2025-11-03T16:16:23.6513314Z 
2025-11-03T16:16:23.6513477Z if [[ -z "${MERGE_BASE}" ]]; then
2025-11-03T16:16:23.6513712Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:16:23.6513926Z 
2025-11-03T16:16:23.6514218Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-11-03T16:16:23.6514567Z   exit 0
2025-11-03T16:16:23.6514731Z fi
2025-11-03T16:16:23.6514887Z 
2025-11-03T16:16:23.6515103Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-11-03T16:16:23.6515527Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-11-03T16:16:23.6515896Z   exit 1
2025-11-03T16:16:23.6516060Z fi
2025-11-03T16:16:23.6516213Z 
2025-11-03T16:16:23.6516454Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-11-03T16:16:23.6516871Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-11-03T16:16:23.6517246Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-11-03T16:16:23.6517679Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-11-03T16:16:23.6518160Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-11-03T16:16:23.6518723Z fi
2025-11-03T16:16:23.6518887Z 
2025-11-03T16:16:23.6519084Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:16:23.6525227Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:23.6525474Z env:
2025-11-03T16:16:23.6525629Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:23.6525828Z   DOCKER_BUILD_DIR: .ci/docker
2025-11-03T16:16:23.6526082Z   BASE_REVISION: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:16:23.6526713Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:23.6527462Z   DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:23.6527926Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:23.6528180Z   DOCKER_PUSH: 
2025-11-03T16:16:23.6528344Z ##[endgroup]
2025-11-03T16:16:23.6551932Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:23.6552259Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:23.6552550Z + aws ecr get-login-password --region us-east-1
2025-11-03T16:16:23.6554331Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:24.0901082Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:16:24.0906378Z Configure a credential helper to remove this warning. See
2025-11-03T16:16:24.0906678Z Login Succeeded
2025-11-03T16:16:24.0908321Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:16:24.0908575Z 
2025-11-03T16:16:24.0926354Z ++ date +%s
2025-11-03T16:16:24.0938593Z + START_TIME=1762186584
2025-11-03T16:16:24.0942626Z ++ date +%s
2025-11-03T16:16:24.0952659Z + [[ 1762179384 -lt 1762186584 ]]
2025-11-03T16:16:24.0953329Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:24.3499492Z {
2025-11-03T16:16:24.3500024Z 	"schemaVersion": 2,
2025-11-03T16:16:24.3500421Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-11-03T16:16:24.3529581Z 	"config": {
2025-11-03T16:16:24.3530369Z + exit 0
2025-11-03T16:16:24.3531499Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-11-03T16:16:24.3531841Z 		"size": 31771,
2025-11-03T16:16:24.3532174Z 		"digest": "sha256:a0defb4d3830e67aa1d3adb1251bb453436eb10d09880acf2cba4d790dae265b"
2025-11-03T16:16:24.3532577Z 	},
2025-11-03T16:16:24.3532743Z 	"layers": [
2025-11-03T16:16:24.3532912Z 		{
2025-11-03T16:16:24.3533161Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3533476Z 			"size": 30447990,
2025-11-03T16:16:24.3533774Z 			"digest": "sha256:828c1365039a657352c737a62d13e1932951b5658eb6bd9b9096ea9b73562453"
2025-11-03T16:16:24.3534091Z 		},
2025-11-03T16:16:24.3534256Z 		{
2025-11-03T16:16:24.3534518Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3534878Z 			"size": 1552,
2025-11-03T16:16:24.3535241Z 			"digest": "sha256:1c4ee0d43392f96acf52d2e8e2f6257611a1334051823ff62d69c216dbc7daca"
2025-11-03T16:16:24.3535775Z 		},
2025-11-03T16:16:24.3535998Z 		{
2025-11-03T16:16:24.3536371Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3536847Z 			"size": 313625489,
2025-11-03T16:16:24.3537340Z 			"digest": "sha256:903f2614f01d7b5d60c33432bb448f286bd7baf86973c272f37f5caf3a83407b"
2025-11-03T16:16:24.3537886Z 		},
2025-11-03T16:16:24.3538087Z 		{
2025-11-03T16:16:24.3538450Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3538928Z 			"size": 791,
2025-11-03T16:16:24.3539453Z 			"digest": "sha256:9a925ed696bfcc8ebda91a3c220252d69635e24adf4fc2835afd1a4aa9e601f6"
2025-11-03T16:16:24.3539985Z 		},
2025-11-03T16:16:24.3540211Z 		{
2025-11-03T16:16:24.3540750Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3541233Z 			"size": 106,
2025-11-03T16:16:24.3541711Z 			"digest": "sha256:d91c445dab95bd9421e1967175f55dfeca3f30166b80aa76eb6bae7b72718d65"
2025-11-03T16:16:24.3542282Z 		},
2025-11-03T16:16:24.3542500Z 		{
2025-11-03T16:16:24.3542871Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3543331Z 			"size": 703,
2025-11-03T16:16:24.3543793Z 			"digest": "sha256:33a0c5e93563ea73282e573325b1527d301f618dbec76bb05c07228cf1c69230"
2025-11-03T16:16:24.3544330Z 		},
2025-11-03T16:16:24.3544649Z 		{
2025-11-03T16:16:24.3545004Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3545471Z 			"size": 1217,
2025-11-03T16:16:24.3545939Z 			"digest": "sha256:760a865b8cf6a0302880ce187235b551859954571432c6f70cfde5d89ed44572"
2025-11-03T16:16:24.3546469Z 		},
2025-11-03T16:16:24.3546689Z 		{
2025-11-03T16:16:24.3547063Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3568360Z 			"size": 484,
2025-11-03T16:16:24.3568795Z 			"digest": "sha256:9d9c7be466f87846f48df125fcf7b25bc5d633cefbf0584ed645d3ab90c043bd"
2025-11-03T16:16:24.3569135Z 		},
2025-11-03T16:16:24.3569300Z 		{
2025-11-03T16:16:24.3569559Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3569843Z 			"size": 110362290,
2025-11-03T16:16:24.3570131Z 			"digest": "sha256:8b2beb2cf1cd0a9540475610f709b97b857e883c66c0f7278d8aa2d729c0a307"
2025-11-03T16:16:24.3570431Z 		},
2025-11-03T16:16:24.3570562Z 		{
2025-11-03T16:16:24.3570786Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3571048Z 			"size": 5132,
2025-11-03T16:16:24.3571334Z 			"digest": "sha256:6e5bdc9e922cccd285cb3e3e8710db5d3119b375d23f7f6b154436adf6f92133"
2025-11-03T16:16:24.3571922Z 		},
2025-11-03T16:16:24.3572045Z 		{
2025-11-03T16:16:24.3572238Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3572474Z 			"size": 1755,
2025-11-03T16:16:24.3572724Z 			"digest": "sha256:95bb0abcaee9af0c3aafb8021c45ce9381c0a1e2c8b4c6a394a49b98107f8102"
2025-11-03T16:16:24.3572992Z 		},
2025-11-03T16:16:24.3573107Z 		{
2025-11-03T16:16:24.3573298Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3573528Z 			"size": 724,
2025-11-03T16:16:24.3573771Z 			"digest": "sha256:b3a429f4faee83e3d7e616cbcca1b458319d213977b4807ea863fc416abb2229"
2025-11-03T16:16:24.3574032Z 		},
2025-11-03T16:16:24.3574146Z 		{
2025-11-03T16:16:24.3574332Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3574563Z 			"size": 544,
2025-11-03T16:16:24.3574801Z 			"digest": "sha256:f4cb10b91a16ac44a669c09f1037854ceb9884ac4c6a118da74679c3f2629f24"
2025-11-03T16:16:24.3575063Z 		},
2025-11-03T16:16:24.3575181Z 		{
2025-11-03T16:16:24.3575368Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3575599Z 			"size": 3376456481,
2025-11-03T16:16:24.3575853Z 			"digest": "sha256:e3f3290c6b5078b355af4289c6d4bbd488e0e0f271e6ed456c923ecc2ae3f847"
2025-11-03T16:16:24.3576114Z 		},
2025-11-03T16:16:24.3576226Z 		{
2025-11-03T16:16:24.3576412Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3576641Z 			"size": 32,
2025-11-03T16:16:24.3576881Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3577146Z 		},
2025-11-03T16:16:24.3577260Z 		{
2025-11-03T16:16:24.3577449Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3577680Z 			"size": 380,
2025-11-03T16:16:24.3577922Z 			"digest": "sha256:2ec7ba999b860bc831c8e5b4e42a1087c8cfde1d02d8f2b3b0a1a297def702b1"
2025-11-03T16:16:24.3578191Z 		},
2025-11-03T16:16:24.3578324Z 		{
2025-11-03T16:16:24.3578515Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3578750Z 			"size": 237238,
2025-11-03T16:16:24.3578995Z 			"digest": "sha256:44205544068086409131b0bb441b6bae62601e637f5e046f07b3db50f22bca6b"
2025-11-03T16:16:24.3579259Z 		},
2025-11-03T16:16:24.3579385Z 		{
2025-11-03T16:16:24.3579578Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3579824Z 			"size": 230,
2025-11-03T16:16:24.3580073Z 			"digest": "sha256:df8f8108c158cd5519b0ea50bd22522f354b19bf2388184e23faa3733b3fd6e3"
2025-11-03T16:16:24.3580348Z 		},
2025-11-03T16:16:24.3580467Z 		{
2025-11-03T16:16:24.3580666Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3580915Z 			"size": 3561745,
2025-11-03T16:16:24.3581172Z 			"digest": "sha256:611e20e3c292b27c7b577e741c97d251ccffe119e097ef0fe40cda74c29c9898"
2025-11-03T16:16:24.3581438Z 		},
2025-11-03T16:16:24.3581568Z 		{
2025-11-03T16:16:24.3581778Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3582022Z 			"size": 1478,
2025-11-03T16:16:24.3582266Z 			"digest": "sha256:397c5718353c9270969b965bfddacd659394a4189be78c230558a674cbde1a2c"
2025-11-03T16:16:24.3582534Z 		},
2025-11-03T16:16:24.3582664Z 		{
2025-11-03T16:16:24.3582867Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3583102Z 			"size": 481,
2025-11-03T16:16:24.3583347Z 			"digest": "sha256:099139c9d8b455920b3e71991a0af82a00315f2708e1b8398089dad4889d0c82"
2025-11-03T16:16:24.3583616Z 		},
2025-11-03T16:16:24.3583743Z 		{
2025-11-03T16:16:24.3583938Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3584182Z 			"size": 198,
2025-11-03T16:16:24.3584440Z 			"digest": "sha256:68bdc7025dfdee58119a7d1fe7cfcca7e26e099fe86b1d71eb8e7d255bdf9a02"
2025-11-03T16:16:24.3584719Z 		},
2025-11-03T16:16:24.3584839Z 		{
2025-11-03T16:16:24.3585102Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3585403Z 			"size": 607,
2025-11-03T16:16:24.3585661Z 			"digest": "sha256:a99b38a3dcdd8fe005f4f28ca62e73a4c465ac67ea320f9cfee2fcae35797245"
2025-11-03T16:16:24.3585939Z 		},
2025-11-03T16:16:24.3586071Z 		{
2025-11-03T16:16:24.3586274Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3586515Z 			"size": 226,
2025-11-03T16:16:24.3586754Z 			"digest": "sha256:dde94b02539f4c5c0fa5f0fe7656c218e33469860c5cf5fa8bca26b165f6c9df"
2025-11-03T16:16:24.3587028Z 		},
2025-11-03T16:16:24.3587157Z 		{
2025-11-03T16:16:24.3587363Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3587600Z 			"size": 830,
2025-11-03T16:16:24.3587846Z 			"digest": "sha256:1a6a81cb899b0f9a55045ca3f89823d22816308be9440327b64990ae8108de42"
2025-11-03T16:16:24.3588115Z 		},
2025-11-03T16:16:24.3588246Z 		{
2025-11-03T16:16:24.3588437Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3588685Z 			"size": 32,
2025-11-03T16:16:24.3588942Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3589217Z 		},
2025-11-03T16:16:24.3589337Z 		{
2025-11-03T16:16:24.3589535Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3589775Z 			"size": 104,
2025-11-03T16:16:24.3590019Z 			"digest": "sha256:87f538f29435cfd8b415415ce225b9c93299fe3ca99eeeea4d3bee114dde63f2"
2025-11-03T16:16:24.3590281Z 		},
2025-11-03T16:16:24.3590408Z 		{
2025-11-03T16:16:24.3590608Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3590847Z 			"size": 1496,
2025-11-03T16:16:24.3591087Z 			"digest": "sha256:5f740b394ea310b0c2f28c055d3ba824427d5b2b55a9226ac4039be54b839698"
2025-11-03T16:16:24.3591360Z 		},
2025-11-03T16:16:24.3591490Z 		{
2025-11-03T16:16:24.3591689Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3591929Z 			"size": 458156451,
2025-11-03T16:16:24.3592195Z 			"digest": "sha256:d8a01999be1b874eca3a842515bc821323412c2dbdbaf3a29d1fe694e2524fd6"
2025-11-03T16:16:24.3592469Z 		},
2025-11-03T16:16:24.3592594Z 		{
2025-11-03T16:16:24.3592787Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3593027Z 			"size": 163,
2025-11-03T16:16:24.3593275Z 			"digest": "sha256:5b782dd120ccdf33aaf9e37cc92912234658ad8e357ad324250a3f63044177d6"
2025-11-03T16:16:24.3593548Z 		},
2025-11-03T16:16:24.3593668Z 		{
2025-11-03T16:16:24.3593868Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3594113Z 			"size": 346,
2025-11-03T16:16:24.3594359Z 			"digest": "sha256:c084e8e1076b1f971aad4348e38c6204c20c0d3b768959f05a5f7e298c600d46"
2025-11-03T16:16:24.3594618Z 		},
2025-11-03T16:16:24.3594747Z 		{
2025-11-03T16:16:24.3594949Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3595194Z 			"size": 32,
2025-11-03T16:16:24.3595443Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3595718Z 		},
2025-11-03T16:16:24.3595847Z 		{
2025-11-03T16:16:24.3596048Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3596286Z 			"size": 106,
2025-11-03T16:16:24.3596532Z 			"digest": "sha256:69ac68a6fed1f9351916b290d069db2d34f9729590b892a7878c4124ad171daa"
2025-11-03T16:16:24.3596811Z 		},
2025-11-03T16:16:24.3596945Z 		{
2025-11-03T16:16:24.3597143Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3597398Z 			"size": 425,
2025-11-03T16:16:24.3597651Z 			"digest": "sha256:6345aec6eb298d06b276130fd8c432205e01f3090bf30bce281256fb484b6f4c"
2025-11-03T16:16:24.3597931Z 		},
2025-11-03T16:16:24.3598055Z 		{
2025-11-03T16:16:24.3598369Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3598661Z 			"size": 19309387,
2025-11-03T16:16:24.3598948Z 			"digest": "sha256:f70b7643328788a61482695ed5366eea113121b02a10e13b9fdfb849a3917460"
2025-11-03T16:16:24.3599373Z 		},
2025-11-03T16:16:24.3599518Z 		{
2025-11-03T16:16:24.3599742Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3600010Z 			"size": 108,
2025-11-03T16:16:24.3600259Z 			"digest": "sha256:c489de58735c98d8fdb49756ef3652f545687e849db5581d5eeb55d9b6ce2309"
2025-11-03T16:16:24.3600546Z 		},
2025-11-03T16:16:24.3600678Z 		{
2025-11-03T16:16:24.3600890Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3601134Z 			"size": 639,
2025-11-03T16:16:24.3601387Z 			"digest": "sha256:14f0993d5468420d7d0c2454a7b63ebd7a0a1c8a27674982e3a4427f49ee1b4c"
2025-11-03T16:16:24.3601663Z 		},
2025-11-03T16:16:24.3601796Z 		{
2025-11-03T16:16:24.3601993Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3602243Z 			"size": 724,
2025-11-03T16:16:24.3602501Z 			"digest": "sha256:b3a429f4faee83e3d7e616cbcca1b458319d213977b4807ea863fc416abb2229"
2025-11-03T16:16:24.3602791Z 		},
2025-11-03T16:16:24.3602915Z 		{
2025-11-03T16:16:24.3603125Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3603379Z 			"size": 149,
2025-11-03T16:16:24.3603636Z 			"digest": "sha256:d6a558a7de5e9dd5633745ba04365d261f0c5ef255d68335a1e34d2393acabd6"
2025-11-03T16:16:24.3603908Z 		},
2025-11-03T16:16:24.3604040Z 		{
2025-11-03T16:16:24.3604247Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3604498Z 			"size": 135,
2025-11-03T16:16:24.3604741Z 			"digest": "sha256:05ee86267141af52f7acaa389053961b9b3af580b4cfa52635fb11c3cc9ac77a"
2025-11-03T16:16:24.3605024Z 		},
2025-11-03T16:16:24.3605157Z 		{
2025-11-03T16:16:24.3605362Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3605605Z 			"size": 140,
2025-11-03T16:16:24.3605868Z 			"digest": "sha256:f0ccf17afa340e506e78617ef552a5e1bcde2d3a8f329d0741997cabdd68b3df"
2025-11-03T16:16:24.3606161Z 		},
2025-11-03T16:16:24.3606291Z 		{
2025-11-03T16:16:24.3606490Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3606742Z 			"size": 18917582702,
2025-11-03T16:16:24.3607014Z 			"digest": "sha256:8e344790570220fe72790c8888398552e561ea57f254ec6e09b58c05918ea948"
2025-11-03T16:16:24.3607286Z 		},
2025-11-03T16:16:24.3607408Z 		{
2025-11-03T16:16:24.3607610Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3607861Z 			"size": 223,
2025-11-03T16:16:24.3608118Z 			"digest": "sha256:68d52eeaeab5519dece6ba7184103c08523328e46c08acd06ccde7574f53c99f"
2025-11-03T16:16:24.3608395Z 		},
2025-11-03T16:16:24.3608523Z 		{
2025-11-03T16:16:24.3608724Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3608974Z 			"size": 255,
2025-11-03T16:16:24.3609219Z 			"digest": "sha256:1ef3a6930902936a8a4d2f964a465c0b4ceecec2fd03a78c0e5b4a4174a6dcc7"
2025-11-03T16:16:24.3609499Z 		},
2025-11-03T16:16:24.3609631Z 		{
2025-11-03T16:16:24.3609836Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3610074Z 			"size": 32,
2025-11-03T16:16:24.3610326Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3610610Z 		},
2025-11-03T16:16:24.3610745Z 		{
2025-11-03T16:16:24.3610930Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3611163Z 			"size": 106,
2025-11-03T16:16:24.3611401Z 			"digest": "sha256:e3d341ef61f7422b033c83df566da087b0227d5451f1cc476ea23e7b2b7740c8"
2025-11-03T16:16:24.3611663Z 		},
2025-11-03T16:16:24.3611779Z 		{
2025-11-03T16:16:24.3611972Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3612211Z 			"size": 312300627,
2025-11-03T16:16:24.3612462Z 			"digest": "sha256:f02010d8bae596b2708ac7564b74946b89c210df33b7002237adf157e8c8155e"
2025-11-03T16:16:24.3612720Z 		},
2025-11-03T16:16:24.3612846Z 		{
2025-11-03T16:16:24.3613042Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3613386Z 			"size": 6655935991,
2025-11-03T16:16:24.3613647Z 			"digest": "sha256:e1b8e0ed540895fded01aeeed90e057b04e8578a0fe7ab03a2eae459d3b4f3d2"
2025-11-03T16:16:24.3613924Z 		},
2025-11-03T16:16:24.3614053Z 		{
2025-11-03T16:16:24.3614252Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3614488Z 			"size": 129,
2025-11-03T16:16:24.3614741Z 			"digest": "sha256:d570696e5d553ae86e0adb52c5936a58c19ba372cfe6beb38f38b77f5528813e"
2025-11-03T16:16:24.3615016Z 		},
2025-11-03T16:16:24.3615138Z 		{
2025-11-03T16:16:24.3615327Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3615569Z 			"size": 880,
2025-11-03T16:16:24.3615818Z 			"digest": "sha256:2a86c078c73d1d0224e1046a3e2ca94663ca04652ec9ac44700e7fd6a4d9fc9c"
2025-11-03T16:16:24.3616086Z 		},
2025-11-03T16:16:24.3616204Z 		{
2025-11-03T16:16:24.3616401Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3616644Z 			"size": 724,
2025-11-03T16:16:24.3616897Z 			"digest": "sha256:b3a429f4faee83e3d7e616cbcca1b458319d213977b4807ea863fc416abb2229"
2025-11-03T16:16:24.3617162Z 		},
2025-11-03T16:16:24.3617287Z 		{
2025-11-03T16:16:24.3617487Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3617731Z 			"size": 139,
2025-11-03T16:16:24.3617967Z 			"digest": "sha256:44e5c47c9ce4024f40e82cfb276df42771be0a6991ba260f37a9789f3caee04a"
2025-11-03T16:16:24.3618256Z 		},
2025-11-03T16:16:24.3618381Z 		{
2025-11-03T16:16:24.3618578Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3618810Z 			"size": 32,
2025-11-03T16:16:24.3619059Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3619332Z 		},
2025-11-03T16:16:24.3619457Z 		{
2025-11-03T16:16:24.3619647Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3619891Z 			"size": 158,
2025-11-03T16:16:24.3620129Z 			"digest": "sha256:64251afee5607817a662f32274265243a89150f093f443332e98aea6edf4b8c5"
2025-11-03T16:16:24.3620390Z 		},
2025-11-03T16:16:24.3620507Z 		{
2025-11-03T16:16:24.3620702Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3620941Z 			"size": 1011,
2025-11-03T16:16:24.3621188Z 			"digest": "sha256:07c8d78a73e65a5453a1045bb24c0080b003ffc3168f56f16fea4c30f9581f5d"
2025-11-03T16:16:24.3621448Z 		},
2025-11-03T16:16:24.3621575Z 		{
2025-11-03T16:16:24.3621775Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3622014Z 			"size": 724,
2025-11-03T16:16:24.3622260Z 			"digest": "sha256:b3a429f4faee83e3d7e616cbcca1b458319d213977b4807ea863fc416abb2229"
2025-11-03T16:16:24.3622533Z 		},
2025-11-03T16:16:24.3622657Z 		{
2025-11-03T16:16:24.3622857Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3623090Z 			"size": 134,
2025-11-03T16:16:24.3623336Z 			"digest": "sha256:66372f032f924ed974c345878c60ae95400e3826d05cadb854b5b378c86fef10"
2025-11-03T16:16:24.3623604Z 		},
2025-11-03T16:16:24.3623729Z 		{
2025-11-03T16:16:24.3623920Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3624163Z 			"size": 32,
2025-11-03T16:16:24.3624407Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3624681Z 		},
2025-11-03T16:16:24.3624801Z 		{
2025-11-03T16:16:24.3624999Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3625240Z 			"size": 158,
2025-11-03T16:16:24.3625497Z 			"digest": "sha256:6ccf69de9ffaa1f7e6cd2ddebd9f98af1d94abfd70314be5eecc82dc4891666b"
2025-11-03T16:16:24.3625776Z 		},
2025-11-03T16:16:24.3625902Z 		{
2025-11-03T16:16:24.3626100Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3626343Z 			"size": 1371,
2025-11-03T16:16:24.3626589Z 			"digest": "sha256:b41ffa5a6a4588148bf64c1e6d509af9d49b9ff7f27f4f7be606e4c0a48f3a12"
2025-11-03T16:16:24.3626909Z 		},
2025-11-03T16:16:24.3627078Z 		{
2025-11-03T16:16:24.3627279Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3627517Z 			"size": 32,
2025-11-03T16:16:24.3627769Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3628044Z 		},
2025-11-03T16:16:24.3628169Z 		{
2025-11-03T16:16:24.3628360Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3628604Z 			"size": 136,
2025-11-03T16:16:24.3628850Z 			"digest": "sha256:9387991f0cf43904780f0c45bca4aae99172554d189ae6f23c98f53e81a04426"
2025-11-03T16:16:24.3629130Z 		},
2025-11-03T16:16:24.3629250Z 		{
2025-11-03T16:16:24.3629458Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3629727Z 			"size": 528,
2025-11-03T16:16:24.3629980Z 			"digest": "sha256:16ec736149b0011270995bb0bab5befaafbc716cfdf9f280ff25f75a2072c90d"
2025-11-03T16:16:24.3630255Z 		},
2025-11-03T16:16:24.3630382Z 		{
2025-11-03T16:16:24.3630587Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3630831Z 			"size": 32,
2025-11-03T16:16:24.3631077Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3631355Z 		},
2025-11-03T16:16:24.3631483Z 		{
2025-11-03T16:16:24.3631687Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3631930Z 			"size": 104,
2025-11-03T16:16:24.3632181Z 			"digest": "sha256:c747e0bc263fe0d17a44b7d4c74d6425b6f2217bd55902965a6cc04bdeda73ad"
2025-11-03T16:16:24.3632459Z 		},
2025-11-03T16:16:24.3632588Z 		{
2025-11-03T16:16:24.3632784Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3633033Z 			"size": 428,
2025-11-03T16:16:24.3633295Z 			"digest": "sha256:b294669af2b5786b9bc5601bffdc874e4673b0fcb879e1d77c17e674e7954b10"
2025-11-03T16:16:24.3633585Z 		},
2025-11-03T16:16:24.3633715Z 		{
2025-11-03T16:16:24.3633927Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3634184Z 			"size": 32,
2025-11-03T16:16:24.3634448Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3634731Z 		},
2025-11-03T16:16:24.3634864Z 		{
2025-11-03T16:16:24.3635075Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3635332Z 			"size": 109,
2025-11-03T16:16:24.3635604Z 			"digest": "sha256:1374eac977ffde8aecf0963fc3b932faabb747b62e49bd3fbbc18a70d542ac07"
2025-11-03T16:16:24.3635923Z 		},
2025-11-03T16:16:24.3636061Z 		{
2025-11-03T16:16:24.3636280Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3636539Z 			"size": 1896,
2025-11-03T16:16:24.3636819Z 			"digest": "sha256:375f6cf74921eec948c69077e8280fd9d9c2a6ccf83f8a33cccc413fc36edca8"
2025-11-03T16:16:24.3637121Z 		},
2025-11-03T16:16:24.3637259Z 		{
2025-11-03T16:16:24.3637477Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3637751Z 			"size": 245087916,
2025-11-03T16:16:24.3638052Z 			"digest": "sha256:858a1f759af33b3ca72bdb0ffba6ab64f9cd7369c2ac929156aa92ee260cde57"
2025-11-03T16:16:24.3638525Z 		},
2025-11-03T16:16:24.3638665Z 		{
2025-11-03T16:16:24.3638906Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3639192Z 			"size": 106,
2025-11-03T16:16:24.3639468Z 			"digest": "sha256:46276d66d3e318a1a2c1f38b45b5060a30068f3b486d0d71e58fd249b7e10687"
2025-11-03T16:16:24.3639766Z 		},
2025-11-03T16:16:24.3639921Z 		{
2025-11-03T16:16:24.3640143Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3640414Z 			"size": 165,
2025-11-03T16:16:24.3640674Z 			"digest": "sha256:83ecc1143684a6535b14ce79395dec432eca66768055598312e14a7d4522ad8b"
2025-11-03T16:16:24.3640971Z 		},
2025-11-03T16:16:24.3641109Z 		{
2025-11-03T16:16:24.3641325Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3641650Z 			"size": 7944,
2025-11-03T16:16:24.3641972Z 			"digest": "sha256:84d7e8a5d95e595a910304a466fdf855f4ffc34878881b1e1a3c9124207fdb5d"
2025-11-03T16:16:24.3642276Z 		},
2025-11-03T16:16:24.3642419Z 		{
2025-11-03T16:16:24.3642633Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3642904Z 			"size": 8076,
2025-11-03T16:16:24.3643183Z 			"digest": "sha256:ee91858ea3c4ed12a1a712424c09d95f407c78ceeb31ec21d1874220fa773ce4"
2025-11-03T16:16:24.3643491Z 		},
2025-11-03T16:16:24.3643622Z 		{
2025-11-03T16:16:24.3643846Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3644119Z 			"size": 303,
2025-11-03T16:16:24.3644391Z 			"digest": "sha256:a5d33870f153d309e9c3150f196979fdaee17378d91b1ed8257bad66194c99c6"
2025-11-03T16:16:24.3644687Z 		},
2025-11-03T16:16:24.3644819Z 		{
2025-11-03T16:16:24.3645041Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3645314Z 			"size": 32,
2025-11-03T16:16:24.3645589Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3645894Z 		},
2025-11-03T16:16:24.3646040Z 		{
2025-11-03T16:16:24.3646261Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3646519Z 			"size": 108,
2025-11-03T16:16:24.3646797Z 			"digest": "sha256:5af10c4c6ef231eeebee585067812841135c727daab1183fd6a6b244a186cd34"
2025-11-03T16:16:24.3647108Z 		},
2025-11-03T16:16:24.3647248Z 		{
2025-11-03T16:16:24.3647465Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3647738Z 			"size": 54145660,
2025-11-03T16:16:24.3648025Z 			"digest": "sha256:6823ad83408ec2d1d628bf5e7cd49d5f6a990ea8001fed41ae77c958e655c8ae"
2025-11-03T16:16:24.3648328Z 		},
2025-11-03T16:16:24.3648465Z 		{
2025-11-03T16:16:24.3648680Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:16:24.3648947Z 			"size": 32,
2025-11-03T16:16:24.3649234Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:16:24.3649541Z 		}
2025-11-03T16:16:24.3649674Z 	]
2025-11-03T16:16:24.3649819Z }
2025-11-03T16:16:24.3679594Z ##[group]Run set -eux
2025-11-03T16:16:24.3679830Z set -eux
2025-11-03T16:16:24.3680129Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-11-03T16:16:24.3680857Z 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
2025-11-03T16:16:24.3687815Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:24.3688067Z env:
2025-11-03T16:16:24.3688231Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:24.3688415Z ##[endgroup]
2025-11-03T16:16:24.3718172Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-11-03T16:16:24.3718706Z + jq --raw-output .SecretString
2025-11-03T16:16:24.3718925Z + jq -r .docker_hub_readonly_token
2025-11-03T16:16:24.3719186Z + docker login --username pytorchbot --password-stdin
2025-11-03T16:16:24.8624830Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:16:24.8625251Z Configure a credential helper to remove this warning. See
2025-11-03T16:16:24.8625627Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:16:24.8625860Z 
2025-11-03T16:16:24.8626446Z Login Succeeded
2025-11-03T16:16:24.8710927Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-11-03T16:16:24.8711197Z tag=${ECR_DOCKER_IMAGE##*:}
2025-11-03T16:16:24.8711460Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-11-03T16:16:24.8716840Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:24.8717105Z env:
2025-11-03T16:16:24.8717281Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:24.8717872Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:24.8718819Z ##[endgroup]
2025-11-03T16:16:24.8743632Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:24.8786202Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-11-03T16:16:24.8786546Z with:
2025-11-03T16:16:24.8787170Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:24.8787873Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:24.8788166Z env:
2025-11-03T16:16:24.8788348Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:24.8788560Z ##[endgroup]
2025-11-03T16:16:24.8809086Z ##[group]Run set -x
2025-11-03T16:16:24.8809312Z set -x
2025-11-03T16:16:24.8809501Z set +e
2025-11-03T16:16:24.8809665Z 
2025-11-03T16:16:24.8809827Z login() {
2025-11-03T16:16:24.8810145Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-11-03T16:16:24.8810467Z }
2025-11-03T16:16:24.8810618Z 
2025-11-03T16:16:24.8810800Z retry () {
2025-11-03T16:16:24.8810987Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-11-03T16:16:24.8811187Z }
2025-11-03T16:16:24.8811331Z 
2025-11-03T16:16:24.8811493Z retry login "${DOCKER_REGISTRY}"
2025-11-03T16:16:24.8811702Z 
2025-11-03T16:16:24.8812016Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-11-03T16:16:24.8812442Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-11-03T16:16:24.8812693Z 
2025-11-03T16:16:24.8812852Z set -e
2025-11-03T16:16:24.8813076Z # ignore output since only exit code is used for conditional
2025-11-03T16:16:24.8813389Z # only pull docker image if it's not available locally
2025-11-03T16:16:24.8813734Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-11-03T16:16:24.8814058Z   retry docker pull "${DOCKER_IMAGE}"
2025-11-03T16:16:24.8814275Z fi
2025-11-03T16:16:24.8818878Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:16:24.8819131Z env:
2025-11-03T16:16:24.8819302Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:16:24.8819872Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:24.8820503Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:24.8820771Z ##[endgroup]
2025-11-03T16:16:24.8844197Z + set +e
2025-11-03T16:16:24.8844506Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:24.8844852Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:24.8845238Z + aws ecr get-login-password --region us-east-1
2025-11-03T16:16:24.8846212Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:16:25.3303980Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:16:25.3304337Z Login Succeeded
2025-11-03T16:16:25.3308423Z Configure a credential helper to remove this warning. See
2025-11-03T16:16:25.3313440Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:16:25.3315644Z 
2025-11-03T16:16:25.3330763Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:25.3333536Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-11-03T16:16:25.5265261Z + IMAGE_SIZE=29084.48217201233
2025-11-03T16:16:25.5265527Z Compressed size of image in MB: 29084.48217201233
2025-11-03T16:16:25.5265817Z + echo 'Compressed size of image in MB: 29084.48217201233'
2025-11-03T16:16:25.5266054Z + set -e
2025-11-03T16:16:25.5267110Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:25.5405185Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:25.5406123Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:16:25.7906740Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c: Pulling from pytorch/ci-image
2025-11-03T16:16:25.7907519Z 828c1365039a: Pulling fs layer
2025-11-03T16:16:25.7912261Z 1c4ee0d43392: Pulling fs layer
2025-11-03T16:16:25.7912589Z 903f2614f01d: Pulling fs layer
2025-11-03T16:16:25.7912804Z 9a925ed696bf: Pulling fs layer
2025-11-03T16:16:25.7913004Z d91c445dab95: Pulling fs layer
2025-11-03T16:16:25.7913204Z 33a0c5e93563: Pulling fs layer
2025-11-03T16:16:25.7913430Z 760a865b8cf6: Pulling fs layer
2025-11-03T16:16:25.7913630Z 9d9c7be466f8: Pulling fs layer
2025-11-03T16:16:25.7913825Z 8b2beb2cf1cd: Pulling fs layer
2025-11-03T16:16:25.7914022Z 6e5bdc9e922c: Pulling fs layer
2025-11-03T16:16:25.7914218Z 95bb0abcaee9: Pulling fs layer
2025-11-03T16:16:25.7914417Z b3a429f4faee: Pulling fs layer
2025-11-03T16:16:25.7914605Z f4cb10b91a16: Pulling fs layer
2025-11-03T16:16:25.7914798Z e3f3290c6b50: Pulling fs layer
2025-11-03T16:16:25.7914992Z 4f4fb700ef54: Pulling fs layer
2025-11-03T16:16:25.7915187Z 2ec7ba999b86: Pulling fs layer
2025-11-03T16:16:25.7915410Z 442055440680: Pulling fs layer
2025-11-03T16:16:25.7915599Z df8f8108c158: Pulling fs layer
2025-11-03T16:16:25.7915819Z 611e20e3c292: Pulling fs layer
2025-11-03T16:16:25.7916011Z 397c5718353c: Pulling fs layer
2025-11-03T16:16:25.7916193Z 099139c9d8b4: Pulling fs layer
2025-11-03T16:16:25.7916386Z 68bdc7025dfd: Pulling fs layer
2025-11-03T16:16:25.7916583Z a99b38a3dcdd: Pulling fs layer
2025-11-03T16:16:25.7916783Z dde94b02539f: Pulling fs layer
2025-11-03T16:16:25.7916972Z 1a6a81cb899b: Pulling fs layer
2025-11-03T16:16:25.7917164Z 87f538f29435: Pulling fs layer
2025-11-03T16:16:25.7917358Z 5f740b394ea3: Pulling fs layer
2025-11-03T16:16:25.7917551Z d8a01999be1b: Pulling fs layer
2025-11-03T16:16:25.7917738Z 5b782dd120cc: Pulling fs layer
2025-11-03T16:16:25.7917929Z c084e8e1076b: Pulling fs layer
2025-11-03T16:16:25.7918123Z 69ac68a6fed1: Pulling fs layer
2025-11-03T16:16:25.7918494Z 6345aec6eb29: Pulling fs layer
2025-11-03T16:16:25.7918684Z f70b76433287: Pulling fs layer
2025-11-03T16:16:25.7918876Z c489de58735c: Pulling fs layer
2025-11-03T16:16:25.7919068Z 14f0993d5468: Pulling fs layer
2025-11-03T16:16:25.7919270Z d6a558a7de5e: Pulling fs layer
2025-11-03T16:16:25.7919455Z 05ee86267141: Pulling fs layer
2025-11-03T16:16:25.7919650Z f0ccf17afa34: Pulling fs layer
2025-11-03T16:16:25.7919854Z 8e3447905702: Pulling fs layer
2025-11-03T16:16:25.7920027Z 68d52eeaeab5: Pulling fs layer
2025-11-03T16:16:25.7920216Z 1ef3a6930902: Pulling fs layer
2025-11-03T16:16:25.7920399Z e3d341ef61f7: Pulling fs layer
2025-11-03T16:16:25.7920589Z f02010d8bae5: Pulling fs layer
2025-11-03T16:16:25.7920774Z e1b8e0ed5408: Pulling fs layer
2025-11-03T16:16:25.7920964Z d570696e5d55: Pulling fs layer
2025-11-03T16:16:25.7921150Z 2ec7ba999b86: Waiting
2025-11-03T16:16:25.7921337Z 2a86c078c73d: Pulling fs layer
2025-11-03T16:16:25.7921523Z 44e5c47c9ce4: Pulling fs layer
2025-11-03T16:16:25.7921710Z 442055440680: Waiting
2025-11-03T16:16:25.7921884Z df8f8108c158: Waiting
2025-11-03T16:16:25.7922056Z 611e20e3c292: Waiting
2025-11-03T16:16:25.7922224Z 64251afee560: Pulling fs layer
2025-11-03T16:16:25.7922682Z 397c5718353c: Waiting
2025-11-03T16:16:25.7922862Z 07c8d78a73e6: Pulling fs layer
2025-11-03T16:16:25.7923052Z 099139c9d8b4: Waiting
2025-11-03T16:16:25.7923225Z 66372f032f92: Pulling fs layer
2025-11-03T16:16:25.7923418Z 68bdc7025dfd: Waiting
2025-11-03T16:16:25.7923641Z 6ccf69de9ffa: Pulling fs layer
2025-11-03T16:16:25.7923952Z b41ffa5a6a45: Pulling fs layer
2025-11-03T16:16:25.7924154Z 9387991f0cf4: Pulling fs layer
2025-11-03T16:16:25.7924336Z a99b38a3dcdd: Waiting
2025-11-03T16:16:25.7924519Z 16ec736149b0: Pulling fs layer
2025-11-03T16:16:25.7924708Z dde94b02539f: Waiting
2025-11-03T16:16:25.7924882Z 1a6a81cb899b: Waiting
2025-11-03T16:16:25.7925055Z c747e0bc263f: Pulling fs layer
2025-11-03T16:16:25.7925253Z b294669af2b5: Pulling fs layer
2025-11-03T16:16:25.7925439Z 87f538f29435: Waiting
2025-11-03T16:16:25.7925610Z 5f740b394ea3: Waiting
2025-11-03T16:16:25.7925779Z 1374eac977ff: Pulling fs layer
2025-11-03T16:16:25.7925972Z d8a01999be1b: Waiting
2025-11-03T16:16:25.7926141Z 5b782dd120cc: Waiting
2025-11-03T16:16:25.7926319Z 375f6cf74921: Pulling fs layer
2025-11-03T16:16:25.7926504Z 858a1f759af3: Pulling fs layer
2025-11-03T16:16:25.7926696Z 46276d66d3e3: Pulling fs layer
2025-11-03T16:16:25.7926883Z 83ecc1143684: Pulling fs layer
2025-11-03T16:16:25.7927075Z 84d7e8a5d95e: Pulling fs layer
2025-11-03T16:16:25.7927262Z ee91858ea3c4: Pulling fs layer
2025-11-03T16:16:25.7927453Z a5d33870f153: Pulling fs layer
2025-11-03T16:16:25.7927645Z 5af10c4c6ef2: Pulling fs layer
2025-11-03T16:16:25.7927832Z c084e8e1076b: Waiting
2025-11-03T16:16:25.7927985Z 6823ad83408e: Pulling fs layer
2025-11-03T16:16:25.7928157Z 8b2beb2cf1cd: Waiting
2025-11-03T16:16:25.7928314Z 07c8d78a73e6: Waiting
2025-11-03T16:16:25.7928465Z 66372f032f92: Waiting
2025-11-03T16:16:25.7928612Z 6ccf69de9ffa: Waiting
2025-11-03T16:16:25.7928766Z d91c445dab95: Waiting
2025-11-03T16:16:25.7928923Z b41ffa5a6a45: Waiting
2025-11-03T16:16:25.7929076Z 69ac68a6fed1: Waiting
2025-11-03T16:16:25.7929223Z 4f4fb700ef54: Waiting
2025-11-03T16:16:25.7929382Z e3f3290c6b50: Waiting
2025-11-03T16:16:25.7929537Z 33a0c5e93563: Waiting
2025-11-03T16:16:25.7929691Z 9a925ed696bf: Waiting
2025-11-03T16:16:25.7929837Z 760a865b8cf6: Waiting
2025-11-03T16:16:25.7929995Z b3a429f4faee: Waiting
2025-11-03T16:16:25.7930156Z 9d9c7be466f8: Waiting
2025-11-03T16:16:25.7930309Z f4cb10b91a16: Waiting
2025-11-03T16:16:25.7930475Z 9387991f0cf4: Waiting
2025-11-03T16:16:25.7930632Z 83ecc1143684: Waiting
2025-11-03T16:16:25.7930798Z 5af10c4c6ef2: Waiting
2025-11-03T16:16:25.7930956Z 84d7e8a5d95e: Waiting
2025-11-03T16:16:25.7931117Z f70b76433287: Waiting
2025-11-03T16:16:25.7931278Z ee91858ea3c4: Waiting
2025-11-03T16:16:25.7931438Z c489de58735c: Waiting
2025-11-03T16:16:25.7931591Z 6823ad83408e: Waiting
2025-11-03T16:16:25.7931756Z 14f0993d5468: Waiting
2025-11-03T16:16:25.7931919Z d6a558a7de5e: Waiting
2025-11-03T16:16:25.7932078Z a5d33870f153: Waiting
2025-11-03T16:16:25.7932229Z 16ec736149b0: Waiting
2025-11-03T16:16:25.7932397Z 1374eac977ff: Waiting
2025-11-03T16:16:25.7932558Z 05ee86267141: Waiting
2025-11-03T16:16:25.7932716Z 1ef3a6930902: Waiting
2025-11-03T16:16:25.7932865Z 375f6cf74921: Waiting
2025-11-03T16:16:25.7933027Z f0ccf17afa34: Waiting
2025-11-03T16:16:25.7933187Z 46276d66d3e3: Waiting
2025-11-03T16:16:25.7933344Z 68d52eeaeab5: Waiting
2025-11-03T16:16:25.7933503Z 95bb0abcaee9: Waiting
2025-11-03T16:16:25.7933666Z c747e0bc263f: Waiting
2025-11-03T16:16:25.7933825Z 2a86c078c73d: Waiting
2025-11-03T16:16:25.7933986Z 6e5bdc9e922c: Waiting
2025-11-03T16:16:25.7934141Z 64251afee560: Waiting
2025-11-03T16:16:25.7934299Z 44e5c47c9ce4: Waiting
2025-11-03T16:16:25.7934460Z e1b8e0ed5408: Waiting
2025-11-03T16:16:25.7934617Z e3d341ef61f7: Waiting
2025-11-03T16:16:25.7934769Z 858a1f759af3: Waiting
2025-11-03T16:16:25.7934927Z d570696e5d55: Waiting
2025-11-03T16:16:25.7935111Z b294669af2b5: Waiting
2025-11-03T16:16:25.7935273Z 6345aec6eb29: Waiting
2025-11-03T16:16:25.7935428Z 8e3447905702: Waiting
2025-11-03T16:16:25.7935590Z f02010d8bae5: Waiting
2025-11-03T16:16:25.8884631Z 1c4ee0d43392: Verifying Checksum
2025-11-03T16:16:25.8885148Z 1c4ee0d43392: Download complete
2025-11-03T16:16:25.9640920Z 9a925ed696bf: Verifying Checksum
2025-11-03T16:16:25.9641226Z 9a925ed696bf: Download complete
2025-11-03T16:16:26.0408339Z d91c445dab95: Verifying Checksum
2025-11-03T16:16:26.0408868Z d91c445dab95: Download complete
2025-11-03T16:16:26.1218412Z 33a0c5e93563: Verifying Checksum
2025-11-03T16:16:26.1218951Z 33a0c5e93563: Download complete
2025-11-03T16:16:26.1537979Z 828c1365039a: Download complete
2025-11-03T16:16:26.2259538Z 760a865b8cf6: Download complete
2025-11-03T16:16:26.2531423Z 9d9c7be466f8: Download complete
2025-11-03T16:16:26.3673485Z 6e5bdc9e922c: Download complete
2025-11-03T16:16:26.4540287Z 95bb0abcaee9: Verifying Checksum
2025-11-03T16:16:26.4543120Z 95bb0abcaee9: Download complete
2025-11-03T16:16:26.5440743Z b3a429f4faee: Verifying Checksum
2025-11-03T16:16:26.5441235Z b3a429f4faee: Download complete
2025-11-03T16:16:26.6393101Z f4cb10b91a16: Download complete
2025-11-03T16:16:27.2154004Z 828c1365039a: Pull complete
2025-11-03T16:16:27.2291081Z 1c4ee0d43392: Pull complete
2025-11-03T16:16:27.3933825Z 8b2beb2cf1cd: Verifying Checksum
2025-11-03T16:16:27.3934116Z 8b2beb2cf1cd: Download complete
2025-11-03T16:16:27.4066362Z 4f4fb700ef54: Download complete
2025-11-03T16:16:27.4859664Z 2ec7ba999b86: Download complete
2025-11-03T16:16:27.5841692Z 442055440680: Verifying Checksum
2025-11-03T16:16:27.5841978Z 442055440680: Download complete
2025-11-03T16:16:27.6712088Z df8f8108c158: Verifying Checksum
2025-11-03T16:16:27.6714331Z df8f8108c158: Download complete
2025-11-03T16:16:27.8071819Z 611e20e3c292: Verifying Checksum
2025-11-03T16:16:27.8075185Z 611e20e3c292: Download complete
2025-11-03T16:16:27.9235847Z 397c5718353c: Verifying Checksum
2025-11-03T16:16:27.9236163Z 397c5718353c: Download complete
2025-11-03T16:16:28.0113957Z 099139c9d8b4: Verifying Checksum
2025-11-03T16:16:28.0114350Z 099139c9d8b4: Download complete
2025-11-03T16:16:28.0956899Z 68bdc7025dfd: Download complete
2025-11-03T16:16:28.1662244Z a99b38a3dcdd: Download complete
2025-11-03T16:16:28.2633487Z dde94b02539f: Verifying Checksum
2025-11-03T16:16:28.2634036Z dde94b02539f: Download complete
2025-11-03T16:16:28.3672616Z 1a6a81cb899b: Verifying Checksum
2025-11-03T16:16:28.3674725Z 1a6a81cb899b: Download complete
2025-11-03T16:16:28.5106640Z 87f538f29435: Verifying Checksum
2025-11-03T16:16:28.5107134Z 87f538f29435: Download complete
2025-11-03T16:16:28.6098109Z 5f740b394ea3: Download complete
2025-11-03T16:16:29.4034272Z 903f2614f01d: Download complete
2025-11-03T16:16:29.4993518Z 5b782dd120cc: Verifying Checksum
2025-11-03T16:16:29.4993940Z 5b782dd120cc: Download complete
2025-11-03T16:16:29.5904535Z c084e8e1076b: Download complete
2025-11-03T16:16:29.6982126Z 69ac68a6fed1: Verifying Checksum
2025-11-03T16:16:29.6982496Z 69ac68a6fed1: Download complete
2025-11-03T16:16:29.7724928Z 6345aec6eb29: Verifying Checksum
2025-11-03T16:16:29.7728970Z 6345aec6eb29: Download complete
2025-11-03T16:16:30.0360898Z f70b76433287: Verifying Checksum
2025-11-03T16:16:30.0361255Z f70b76433287: Download complete
2025-11-03T16:16:30.1269162Z c489de58735c: Download complete
2025-11-03T16:16:30.2134444Z 14f0993d5468: Verifying Checksum
2025-11-03T16:16:30.2134770Z 14f0993d5468: Download complete
2025-11-03T16:16:30.3075872Z d6a558a7de5e: Download complete
2025-11-03T16:16:30.4041618Z 05ee86267141: Verifying Checksum
2025-11-03T16:16:30.4041923Z 05ee86267141: Download complete
2025-11-03T16:16:30.5274155Z f0ccf17afa34: Verifying Checksum
2025-11-03T16:16:30.5274460Z f0ccf17afa34: Download complete
2025-11-03T16:16:33.2580493Z d8a01999be1b: Verifying Checksum
2025-11-03T16:16:33.2580978Z d8a01999be1b: Download complete
2025-11-03T16:16:33.3180527Z 68d52eeaeab5: Verifying Checksum
2025-11-03T16:16:33.3180993Z 68d52eeaeab5: Download complete
2025-11-03T16:16:33.3946216Z 1ef3a6930902: Verifying Checksum
2025-11-03T16:16:33.3947033Z 1ef3a6930902: Download complete
2025-11-03T16:16:33.4769355Z e3d341ef61f7: Download complete
2025-11-03T16:16:36.6766631Z f02010d8bae5: Verifying Checksum
2025-11-03T16:16:36.6767224Z f02010d8bae5: Download complete
2025-11-03T16:16:39.9727023Z 903f2614f01d: Pull complete
2025-11-03T16:16:40.2543220Z 9a925ed696bf: Pull complete
2025-11-03T16:16:40.5111884Z d91c445dab95: Pull complete
2025-11-03T16:16:40.8231475Z 33a0c5e93563: Pull complete
2025-11-03T16:16:41.0891664Z 760a865b8cf6: Pull complete
2025-11-03T16:16:41.3517298Z 9d9c7be466f8: Pull complete
2025-11-03T16:16:44.6878106Z 8b2beb2cf1cd: Pull complete
2025-11-03T16:16:44.9265741Z 6e5bdc9e922c: Pull complete
2025-11-03T16:16:45.2080719Z 95bb0abcaee9: Pull complete
2025-11-03T16:16:45.4600984Z b3a429f4faee: Pull complete
2025-11-03T16:16:45.7716217Z f4cb10b91a16: Pull complete
2025-11-03T16:17:00.4775205Z e3f3290c6b50: Verifying Checksum
2025-11-03T16:17:00.4775650Z e3f3290c6b50: Download complete
2025-11-03T16:17:00.5659757Z d570696e5d55: Verifying Checksum
2025-11-03T16:17:00.5664845Z d570696e5d55: Download complete
2025-11-03T16:17:00.6441572Z 2a86c078c73d: Verifying Checksum
2025-11-03T16:17:00.6441898Z 2a86c078c73d: Download complete
2025-11-03T16:17:00.7377097Z 44e5c47c9ce4: Verifying Checksum
2025-11-03T16:17:00.7377618Z 44e5c47c9ce4: Download complete
2025-11-03T16:17:00.8216160Z 64251afee560: Verifying Checksum
2025-11-03T16:17:00.8216478Z 64251afee560: Download complete
2025-11-03T16:17:00.9000001Z 07c8d78a73e6: Download complete
2025-11-03T16:17:00.9950795Z 66372f032f92: Verifying Checksum
2025-11-03T16:17:00.9951107Z 66372f032f92: Download complete
2025-11-03T16:17:01.0713581Z 6ccf69de9ffa: Verifying Checksum
2025-11-03T16:17:01.0713898Z 6ccf69de9ffa: Download complete
2025-11-03T16:17:01.1614785Z b41ffa5a6a45: Verifying Checksum
2025-11-03T16:17:01.1615086Z b41ffa5a6a45: Download complete
2025-11-03T16:17:01.2218710Z 9387991f0cf4: Verifying Checksum
2025-11-03T16:17:01.2219018Z 9387991f0cf4: Download complete
2025-11-03T16:17:01.3105108Z 16ec736149b0: Verifying Checksum
2025-11-03T16:17:01.3105425Z 16ec736149b0: Download complete
2025-11-03T16:17:01.3898637Z c747e0bc263f: Verifying Checksum
2025-11-03T16:17:01.3899067Z c747e0bc263f: Download complete
2025-11-03T16:17:01.4786529Z b294669af2b5: Verifying Checksum
2025-11-03T16:17:01.4787076Z b294669af2b5: Download complete
2025-11-03T16:17:01.5913340Z 1374eac977ff: Verifying Checksum
2025-11-03T16:17:01.5913811Z 1374eac977ff: Download complete
2025-11-03T16:17:01.6822815Z 375f6cf74921: Download complete
2025-11-03T16:17:04.1797058Z 858a1f759af3: Verifying Checksum
2025-11-03T16:17:04.1797360Z 858a1f759af3: Download complete
2025-11-03T16:17:04.2460859Z 46276d66d3e3: Download complete
2025-11-03T16:17:04.3407844Z 83ecc1143684: Verifying Checksum
2025-11-03T16:17:04.3408141Z 83ecc1143684: Download complete
2025-11-03T16:17:04.4253952Z 84d7e8a5d95e: Verifying Checksum
2025-11-03T16:17:04.4254283Z 84d7e8a5d95e: Download complete
2025-11-03T16:17:04.5062737Z ee91858ea3c4: Verifying Checksum
2025-11-03T16:17:04.5063249Z ee91858ea3c4: Download complete
2025-11-03T16:17:04.5869936Z a5d33870f153: Verifying Checksum
2025-11-03T16:17:04.5870297Z a5d33870f153: Download complete
2025-11-03T16:17:04.6742918Z 5af10c4c6ef2: Verifying Checksum
2025-11-03T16:17:04.6743229Z 5af10c4c6ef2: Download complete
2025-11-03T16:17:05.2705928Z 6823ad83408e: Verifying Checksum
2025-11-03T16:17:05.2706304Z 6823ad83408e: Download complete
2025-11-03T16:17:43.2901684Z e1b8e0ed5408: Verifying Checksum
2025-11-03T16:17:43.2902000Z e1b8e0ed5408: Download complete
2025-11-03T16:18:07.6817959Z e3f3290c6b50: Pull complete
2025-11-03T16:18:08.1093175Z 4f4fb700ef54: Pull complete
2025-11-03T16:18:08.6350950Z 2ec7ba999b86: Pull complete
2025-11-03T16:18:09.1464252Z 442055440680: Pull complete
2025-11-03T16:18:09.5934423Z df8f8108c158: Pull complete
2025-11-03T16:18:10.1389351Z 611e20e3c292: Pull complete
2025-11-03T16:18:10.5130254Z 397c5718353c: Pull complete
2025-11-03T16:18:10.8803576Z 099139c9d8b4: Pull complete
2025-11-03T16:18:11.1191316Z 68bdc7025dfd: Pull complete
2025-11-03T16:18:11.4989542Z a99b38a3dcdd: Pull complete
2025-11-03T16:18:11.8514449Z dde94b02539f: Pull complete
2025-11-03T16:18:11.9112649Z 1a6a81cb899b: Pull complete
2025-11-03T16:18:11.9944346Z 87f538f29435: Pull complete
2025-11-03T16:18:12.0358867Z 5f740b394ea3: Pull complete
2025-11-03T16:18:22.0563306Z d8a01999be1b: Pull complete
2025-11-03T16:18:22.4678853Z 5b782dd120cc: Pull complete
2025-11-03T16:18:22.8759608Z c084e8e1076b: Pull complete
2025-11-03T16:18:23.3267103Z 69ac68a6fed1: Pull complete
2025-11-03T16:18:23.7811547Z 6345aec6eb29: Pull complete
2025-11-03T16:18:24.5245839Z f70b76433287: Pull complete
2025-11-03T16:18:24.9489194Z c489de58735c: Pull complete
2025-11-03T16:18:25.3912648Z 14f0993d5468: Pull complete
2025-11-03T16:18:26.1743798Z d6a558a7de5e: Pull complete
2025-11-03T16:18:26.6292374Z 05ee86267141: Pull complete
2025-11-03T16:18:26.8581020Z f0ccf17afa34: Pull complete
2025-11-03T16:19:39.7523269Z 8e3447905702: Verifying Checksum
2025-11-03T16:19:39.7525997Z 8e3447905702: Download complete
2025-11-03T16:23:30.4567371Z 8e3447905702: Pull complete
2025-11-03T16:23:30.4822473Z 68d52eeaeab5: Pull complete
2025-11-03T16:23:30.5095171Z 1ef3a6930902: Pull complete
2025-11-03T16:23:30.5637002Z e3d341ef61f7: Pull complete
2025-11-03T16:23:32.7942338Z f02010d8bae5: Pull complete
2025-11-03T16:25:46.9938213Z e1b8e0ed5408: Pull complete
2025-11-03T16:25:47.0229891Z d570696e5d55: Pull complete
2025-11-03T16:25:47.0496455Z 2a86c078c73d: Pull complete
2025-11-03T16:25:47.1044926Z 44e5c47c9ce4: Pull complete
2025-11-03T16:25:47.1598927Z 64251afee560: Pull complete
2025-11-03T16:25:47.1867608Z 07c8d78a73e6: Pull complete
2025-11-03T16:25:47.2378585Z 66372f032f92: Pull complete
2025-11-03T16:25:47.2892539Z 6ccf69de9ffa: Pull complete
2025-11-03T16:25:47.3150397Z b41ffa5a6a45: Pull complete
2025-11-03T16:25:47.3659240Z 9387991f0cf4: Pull complete
2025-11-03T16:25:47.3905125Z 16ec736149b0: Pull complete
2025-11-03T16:25:47.4401594Z c747e0bc263f: Pull complete
2025-11-03T16:25:47.4658670Z b294669af2b5: Pull complete
2025-11-03T16:25:47.5213955Z 1374eac977ff: Pull complete
2025-11-03T16:25:47.5467348Z 375f6cf74921: Pull complete
2025-11-03T16:25:57.1679049Z 858a1f759af3: Pull complete
2025-11-03T16:25:57.5627521Z 46276d66d3e3: Pull complete
2025-11-03T16:25:57.8256944Z 83ecc1143684: Pull complete
2025-11-03T16:25:58.3040229Z 84d7e8a5d95e: Pull complete
2025-11-03T16:25:58.7452021Z ee91858ea3c4: Pull complete
2025-11-03T16:25:59.1800145Z a5d33870f153: Pull complete
2025-11-03T16:25:59.8548085Z 5af10c4c6ef2: Pull complete
2025-11-03T16:26:02.4077306Z 6823ad83408e: Pull complete
2025-11-03T16:26:03.0858318Z Digest: sha256:882a19f24dba11c5445e0a3a1cb4ef199b1740a1ba310ace5991cb025e30be3b
2025-11-03T16:26:03.1789780Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:26:03.2339141Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:26:03.2392324Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:26:03.2392944Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:26:03.2400312Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:03.2400569Z env:
2025-11-03T16:26:03.2400742Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:03.2400932Z ##[endgroup]
2025-11-03T16:26:03.2473695Z Prepare all required actions
2025-11-03T16:26:03.2706596Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-11-03T16:26:03.2706853Z with:
2025-11-03T16:26:03.2707471Z   github-token: ***
2025-11-03T16:26:03.2707642Z env:
2025-11-03T16:26:03.2707814Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:03.2708010Z ##[endgroup]
2025-11-03T16:26:03.2858049Z ##[group]Run set -eux
2025-11-03T16:26:03.2858275Z set -eux
2025-11-03T16:26:03.2858793Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-11-03T16:26:03.2863925Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:03.2864175Z env:
2025-11-03T16:26:03.2864338Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:03.2864746Z   GITHUB_TOKEN: ***
2025-11-03T16:26:03.2864924Z ##[endgroup]
2025-11-03T16:26:03.2891926Z + python3 .github/scripts/get_workflow_job_id.py 19040285537 i-07f16d2690eac221b
2025-11-03T16:26:04.1583210Z Setting output job-id=54378387661
2025-11-03T16:26:04.1583739Z Setting output job-name=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:04.1853851Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-11-03T16:26:04.1854382Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-11-03T16:26:04.1855007Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-11-03T16:26:04.1855582Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:26:04.1860638Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:04.1860898Z env:
2025-11-03T16:26:04.1861071Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:04.1861272Z   JOB_ID: 54378387661
2025-11-03T16:26:04.1861558Z   JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:04.1861883Z   WORKFLOW_NAME: inductor
2025-11-03T16:26:04.1862079Z   WORKFLOW_RUN_ID: 19040285537
2025-11-03T16:26:04.1862326Z   MONITOR_LOG_INTERVAL: 5
2025-11-03T16:26:04.1862527Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-11-03T16:26:04.1862736Z ##[endgroup]
2025-11-03T16:26:04.7634922Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:26:05.0513598Z Collecting psutil==5.9.8
2025-11-03T16:26:05.0673451Z   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)
2025-11-03T16:26:05.1834837Z Collecting dataclasses_json==0.6.7
2025-11-03T16:26:05.1877233Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-11-03T16:26:05.2365358Z Collecting nvidia-ml-py==11.525.84
2025-11-03T16:26:05.2397306Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-11-03T16:26:05.2887248Z Collecting typing-inspect<1,>=0.4.0
2025-11-03T16:26:05.2939968Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-11-03T16:26:05.4272118Z Collecting marshmallow<4.0.0,>=3.18.0
2025-11-03T16:26:05.4307010Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-11-03T16:26:05.5445688Z Collecting packaging>=17.0
2025-11-03T16:26:05.5483614Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-11-03T16:26:05.6204128Z Collecting mypy-extensions>=0.3.0
2025-11-03T16:26:05.6239750Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-11-03T16:26:05.7297792Z Collecting typing-extensions>=3.7.4
2025-11-03T16:26:05.7334258Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-11-03T16:26:05.9427054Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-11-03T16:26:06.7007695Z 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
2025-11-03T16:26:06.9896777Z Prepare all required actions
2025-11-03T16:26:06.9897145Z Getting action download info
2025-11-03T16:26:07.1907521Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-11-03T16:26:08.1240437Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-11-03T16:26:10.8233839Z ##[group]Run ./.github/actions/download-build-artifacts
2025-11-03T16:26:10.8234253Z with:
2025-11-03T16:26:10.8234449Z   name: linux-jammy-py3.10-gcc11-build
2025-11-03T16:26:10.8234675Z   s3-bucket: gha-artifacts
2025-11-03T16:26:10.8234875Z env:
2025-11-03T16:26:10.8235040Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:10.8235231Z ##[endgroup]
2025-11-03T16:26:10.8387801Z ##[group]Run seemethere/download-artifact-s3@v4
2025-11-03T16:26:10.8388028Z with:
2025-11-03T16:26:10.8388202Z   name: linux-jammy-py3.10-gcc11-build
2025-11-03T16:26:10.8388416Z   s3-bucket: gha-artifacts
2025-11-03T16:26:10.8388656Z   region: us-east-1
2025-11-03T16:26:10.8388802Z env:
2025-11-03T16:26:10.8388950Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:10.8389120Z ##[endgroup]
2025-11-03T16:26:11.4982516Z (node:48162) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-11-03T16:26:11.4987124Z 
2025-11-03T16:26:11.4987489Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-11-03T16:26:11.4987866Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-11-03T16:26:11.4988276Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-11-03T16:26:12.5135725Z Found 1 objects with prefix pytorch/pytorch/19040285537/linux-jammy-py3.10-gcc11-build/
2025-11-03T16:26:12.5136221Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-11-03T16:26:17.2231420Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-11-03T16:26:17.2237193Z Artifact download has finished successfully
2025-11-03T16:26:17.2532645Z ##[group]Run unzip -o artifacts.zip
2025-11-03T16:26:17.2532901Z unzip -o artifacts.zip
2025-11-03T16:26:17.2538746Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:17.2538996Z env:
2025-11-03T16:26:17.2539159Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:17.2539339Z ##[endgroup]
2025-11-03T16:26:17.2675169Z Archive:  artifacts.zip
2025-11-03T16:26:17.2675685Z    creating: dist/
2025-11-03T16:26:18.4170722Z   inflating: dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl  
2025-11-03T16:26:18.4173657Z    creating: dist/vision/
2025-11-03T16:26:18.4252777Z   inflating: dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl  
2025-11-03T16:26:18.4253368Z    creating: dist/audio/
2025-11-03T16:26:18.4284290Z   inflating: dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl  
2025-11-03T16:26:18.4289005Z    creating: dist/ao/
2025-11-03T16:26:18.4324595Z   inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl  
2025-11-03T16:26:18.4442503Z   inflating: dist/.ninja_log         
2025-11-03T16:26:18.4445599Z    creating: build/custom_test_artifacts/
2025-11-03T16:26:18.4446565Z    creating: build/custom_test_artifacts/custom-op-build/
2025-11-03T16:26:18.4449185Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/
2025-11-03T16:26:18.4449746Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/
2025-11-03T16:26:18.4450437Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml  
2025-11-03T16:26:18.4450877Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/
2025-11-03T16:26:18.4451330Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeSystem.cmake  
2025-11-03T16:26:18.4451786Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/
2025-11-03T16:26:18.4452628Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/tmp/
2025-11-03T16:26:18.4453160Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/CMakeCCompilerId.c  
2025-11-03T16:26:18.4453679Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/a.out  
2025-11-03T16:26:18.4454152Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeCCompiler.cmake  
2025-11-03T16:26:18.4454621Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/
2025-11-03T16:26:18.4455240Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/tmp/
2025-11-03T16:26:18.4455776Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/CMakeCXXCompilerId.cpp  
2025-11-03T16:26:18.4456314Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/a.out  
2025-11-03T16:26:18.4456776Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeCXXCompiler.cmake  
2025-11-03T16:26:18.4457303Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeDetermineCompilerABI_C.bin  
2025-11-03T16:26:18.4457907Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeDetermineCompilerABI_CXX.bin  
2025-11-03T16:26:18.4458364Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeScratch/
2025-11-03T16:26:18.4458767Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/cmake.check_cache  
2025-11-03T16:26:18.4459178Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/
2025-11-03T16:26:18.4459666Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.ts  
2025-11-03T16:26:18.4460286Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.make  
2025-11-03T16:26:18.4460814Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/depend.make  
2025-11-03T16:26:18.4461305Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/link.txt  
2025-11-03T16:26:18.4461787Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/cmake_clean.cmake  
2025-11-03T16:26:18.4462277Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/build.make  
2025-11-03T16:26:18.4462789Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/DependInfo.cmake  
2025-11-03T16:26:18.4463292Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/flags.make  
2025-11-03T16:26:18.4463774Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/progress.make  
2025-11-03T16:26:18.4482046Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/op.cpp.o.d  
2025-11-03T16:26:18.4673999Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/op.cpp.o  
2025-11-03T16:26:18.4674549Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/
2025-11-03T16:26:18.4675069Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/compiler_depend.ts  
2025-11-03T16:26:18.4675680Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/compiler_depend.make  
2025-11-03T16:26:18.4676383Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/depend.make  
2025-11-03T16:26:18.4676923Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/link.txt  
2025-11-03T16:26:18.4677551Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/cmake_clean.cmake  
2025-11-03T16:26:18.4678263Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/build.make  
2025-11-03T16:26:18.4679184Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/DependInfo.cmake  
2025-11-03T16:26:18.4679725Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/flags.make  
2025-11-03T16:26:18.4680355Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/progress.make  
2025-11-03T16:26:18.4698031Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o.d  
2025-11-03T16:26:18.4776163Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o  
2025-11-03T16:26:18.4781105Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeDirectoryInformation.cmake  
2025-11-03T16:26:18.4785939Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/TargetDirectories.txt  
2025-11-03T16:26:18.4788775Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/progress.marks  
2025-11-03T16:26:18.4789459Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/Makefile2  
2025-11-03T16:26:18.4790036Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/Makefile.cmake  
2025-11-03T16:26:18.4790459Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeCache.txt  
2025-11-03T16:26:18.4790832Z   inflating: build/custom_test_artifacts/custom-op-build/Makefile  
2025-11-03T16:26:18.4791203Z   inflating: build/custom_test_artifacts/custom-op-build/cmake_install.cmake  
2025-11-03T16:26:18.4942091Z   inflating: build/custom_test_artifacts/custom-op-build/libcustom_ops.so  
2025-11-03T16:26:18.4994683Z   inflating: build/custom_test_artifacts/custom-op-build/test_custom_ops  
2025-11-03T16:26:18.4995294Z    creating: build/custom_test_artifacts/jit-hook-build/
2025-11-03T16:26:18.4996459Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/
2025-11-03T16:26:18.4996945Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/pkgRedirects/
2025-11-03T16:26:18.4997483Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeConfigureLog.yaml  
2025-11-03T16:26:18.4998134Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/
2025-11-03T16:26:18.4998597Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CMakeSystem.cmake  
2025-11-03T16:26:18.4999066Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CompilerIdC/
2025-11-03T16:26:18.4999669Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CompilerIdC/tmp/
2025-11-03T16:26:18.5000996Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CompilerIdC/CMakeCCompilerId.c  
2025-11-03T16:26:18.5002360Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CompilerIdC/a.out  
2025-11-03T16:26:18.5002868Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CMakeCCompiler.cmake  
2025-11-03T16:26:18.5003344Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CompilerIdCXX/
2025-11-03T16:26:18.5003816Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CompilerIdCXX/tmp/
2025-11-03T16:26:18.5008244Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CompilerIdCXX/CMakeCXXCompilerId.cpp  
2025-11-03T16:26:18.5013611Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CompilerIdCXX/a.out  
2025-11-03T16:26:18.5014157Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CMakeCXXCompiler.cmake  
2025-11-03T16:26:18.5014742Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CMakeDetermineCompilerABI_C.bin  
2025-11-03T16:26:18.5015310Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.31.6/CMakeDetermineCompilerABI_CXX.bin  
2025-11-03T16:26:18.5015792Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeScratch/
2025-11-03T16:26:18.5016568Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/cmake.check_cache  
2025-11-03T16:26:18.5017017Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/
2025-11-03T16:26:18.5017487Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/compiler_depend.ts  
2025-11-03T16:26:18.5018026Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/compiler_depend.make  
2025-11-03T16:26:18.5018539Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/depend.make  
2025-11-03T16:26:18.5019129Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/link.txt  
2025-11-03T16:26:18.5019622Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/cmake_clean.cmake  
2025-11-03T16:26:18.5020116Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/build.make  
2025-11-03T16:26:18.5020614Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/DependInfo.cmake  
2025-11-03T16:26:18.5021123Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/flags.make  
2025-11-03T16:26:18.5021615Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/progress.make  
2025-11-03T16:26:18.5034869Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/test_jit_hooks.cpp.o.d  
2025-11-03T16:26:18.5096599Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/test_jit_hooks.cpp.o  
2025-11-03T16:26:18.5098288Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeDirectoryInformation.cmake  
2025-11-03T16:26:18.5098842Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/TargetDirectories.txt  
2025-11-03T16:26:18.5099298Z  extracting: build/custom_test_artifacts/jit-hook-build/CMakeFiles/progress.marks  
2025-11-03T16:26:18.5099747Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/Makefile2  
2025-11-03T16:26:18.5100156Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/Makefile.cmake  
2025-11-03T16:26:18.5100544Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeCache.txt  
2025-11-03T16:26:18.5100908Z   inflating: build/custom_test_artifacts/jit-hook-build/Makefile  
2025-11-03T16:26:18.5101264Z   inflating: build/custom_test_artifacts/jit-hook-build/cmake_install.cmake  
2025-11-03T16:26:18.5137383Z   inflating: build/custom_test_artifacts/jit-hook-build/test_jit_hooks  
2025-11-03T16:26:18.5141590Z    creating: build/custom_test_artifacts/custom-backend-build/
2025-11-03T16:26:18.5142013Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/
2025-11-03T16:26:18.5142436Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/pkgRedirects/
2025-11-03T16:26:18.5142911Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeConfigureLog.yaml  
2025-11-03T16:26:18.5143397Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/
2025-11-03T16:26:18.5143847Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CMakeSystem.cmake  
2025-11-03T16:26:18.5144327Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CompilerIdC/
2025-11-03T16:26:18.5144792Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CompilerIdC/tmp/
2025-11-03T16:26:18.5145309Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CompilerIdC/CMakeCCompilerId.c  
2025-11-03T16:26:18.5146484Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CompilerIdC/a.out  
2025-11-03T16:26:18.5147215Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CMakeCCompiler.cmake  
2025-11-03T16:26:18.5147745Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CompilerIdCXX/
2025-11-03T16:26:18.5148929Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CompilerIdCXX/tmp/
2025-11-03T16:26:18.5149490Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CompilerIdCXX/CMakeCXXCompilerId.cpp  
2025-11-03T16:26:18.5150057Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CompilerIdCXX/a.out  
2025-11-03T16:26:18.5150571Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CMakeCXXCompiler.cmake  
2025-11-03T16:26:18.5151245Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CMakeDetermineCompilerABI_C.bin  
2025-11-03T16:26:18.5151850Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.31.6/CMakeDetermineCompilerABI_CXX.bin  
2025-11-03T16:26:18.5152381Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeScratch/
2025-11-03T16:26:18.5152853Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/cmake.check_cache  
2025-11-03T16:26:18.5153329Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/
2025-11-03T16:26:18.5153855Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/compiler_depend.ts  
2025-11-03T16:26:18.5154445Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/compiler_depend.make  
2025-11-03T16:26:18.5155017Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/depend.make  
2025-11-03T16:26:18.5155556Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/link.txt  
2025-11-03T16:26:18.5156103Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/cmake_clean.cmake  
2025-11-03T16:26:18.5156759Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/build.make  
2025-11-03T16:26:18.5157330Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/DependInfo.cmake  
2025-11-03T16:26:18.5158104Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/flags.make  
2025-11-03T16:26:18.5158662Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/progress.make  
2025-11-03T16:26:18.5159425Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/custom_backend.cpp.o.d  
2025-11-03T16:26:18.5273618Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/custom_backend.cpp.o  
2025-11-03T16:26:18.5275790Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/
2025-11-03T16:26:18.5276499Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/compiler_depend.ts  
2025-11-03T16:26:18.5280311Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/compiler_depend.make  
2025-11-03T16:26:18.5285399Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/depend.make  
2025-11-03T16:26:18.5287330Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/link.txt  
2025-11-03T16:26:18.5287994Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/cmake_clean.cmake  
2025-11-03T16:26:18.5288580Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/build.make  
2025-11-03T16:26:18.5289181Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/DependInfo.cmake  
2025-11-03T16:26:18.5289763Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/flags.make  
2025-11-03T16:26:18.5290339Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/progress.make  
2025-11-03T16:26:18.5297390Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/test_custom_backend.cpp.o.d  
2025-11-03T16:26:18.5346180Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/test_custom_backend.cpp.o  
2025-11-03T16:26:18.5346876Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeDirectoryInformation.cmake  
2025-11-03T16:26:18.5347442Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/TargetDirectories.txt  
2025-11-03T16:26:18.5348305Z  extracting: build/custom_test_artifacts/custom-backend-build/CMakeFiles/progress.marks  
2025-11-03T16:26:18.5348761Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/Makefile2  
2025-11-03T16:26:18.5349203Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/Makefile.cmake  
2025-11-03T16:26:18.5349631Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeCache.txt  
2025-11-03T16:26:18.5350178Z   inflating: build/custom_test_artifacts/custom-backend-build/Makefile  
2025-11-03T16:26:18.5350611Z   inflating: build/custom_test_artifacts/custom-backend-build/cmake_install.cmake  
2025-11-03T16:26:18.5449230Z   inflating: build/custom_test_artifacts/custom-backend-build/libcustom_backend.so  
2025-11-03T16:26:18.5487697Z   inflating: build/custom_test_artifacts/custom-backend-build/test_custom_backend  
2025-11-03T16:26:18.5488253Z    creating: build/lib/
2025-11-03T16:26:18.5565327Z   inflating: build/lib/libprotobuf-lite.a  
2025-11-03T16:26:18.5992235Z   inflating: build/lib/libprotobuf.a  
2025-11-03T16:26:18.6444753Z   inflating: build/lib/libprotoc.a   
2025-11-03T16:26:18.6455496Z   inflating: build/lib/libpthreadpool.a  
2025-11-03T16:26:18.6460284Z   inflating: build/lib/libcpuinfo.a  
2025-11-03T16:26:18.6468403Z   inflating: build/lib/libcpuinfo_internals.a  
2025-11-03T16:26:18.6468841Z   inflating: build/lib/libclog.a     
2025-11-03T16:26:18.6485511Z   inflating: build/lib/libpytorch_qnnpack.a  
2025-11-03T16:26:18.6485826Z   inflating: build/lib/libnnpack_reference_layers.a  
2025-11-03T16:26:18.6661592Z   inflating: build/lib/libmicrokernels-prod.a  
2025-11-03T16:26:18.6678242Z   inflating: build/lib/libnnpack.a   
2025-11-03T16:26:18.7480038Z   inflating: build/lib/libmicrokernels-all.a  
2025-11-03T16:26:18.7544586Z   inflating: build/lib/libgtest.a    
2025-11-03T16:26:18.7559329Z   inflating: build/lib/libgmock.a    
2025-11-03T16:26:18.7559631Z   inflating: build/lib/libgmock_main.a  
2025-11-03T16:26:18.7559921Z   inflating: build/lib/libgtest_main.a  
2025-11-03T16:26:18.7647156Z   inflating: build/lib/libXNNPACK.a  
2025-11-03T16:26:18.7719453Z   inflating: build/lib/libbenchmark.a  
2025-11-03T16:26:18.7722331Z   inflating: build/lib/libbenchmark_main.a  
2025-11-03T16:26:18.7722754Z   inflating: build/lib/libjitprofiling.a  
2025-11-03T16:26:18.7727422Z   inflating: build/lib/libittnotify.a  
2025-11-03T16:26:18.7787380Z   inflating: build/lib/libasmjit.a   
2025-11-03T16:26:18.8871581Z   inflating: build/lib/libfbgemm.a   
2025-11-03T16:26:18.8900463Z   inflating: build/lib/libtensorpipe_uv.a  
2025-11-03T16:26:18.9413296Z   inflating: build/lib/libtensorpipe.a  
2025-11-03T16:26:18.9531079Z   inflating: build/lib/libgloo.a     
2025-11-03T16:26:18.9574692Z   inflating: build/lib/libonnx_proto.a  
2025-11-03T16:26:19.0226926Z   inflating: build/lib/libonnx.a     
2025-11-03T16:26:19.9995057Z   inflating: build/lib/libdnnl.a     
2025-11-03T16:26:20.0015079Z   inflating: build/lib/libfmt.a      
2025-11-03T16:26:20.0295015Z   inflating: build/lib/libkineto.a   
2025-11-03T16:26:20.0419492Z   inflating: build/lib/libc10.so     
2025-11-03T16:26:20.0420109Z   inflating: build/lib/libtorch_global_deps.so  
2025-11-03T16:26:22.9578469Z   inflating: build/lib/libtorch_cpu.so  
2025-11-03T16:26:22.9579034Z   inflating: build/lib/libtorch.so   
2025-11-03T16:26:22.9650896Z   inflating: build/lib/libtorchbind_test.so  
2025-11-03T16:26:22.9669336Z   inflating: build/lib/libjitbackend_test.so  
2025-11-03T16:26:22.9704095Z   inflating: build/lib/libbackend_with_compiler.so  
2025-11-03T16:26:22.9718130Z   inflating: build/lib/libaoti_custom_ops.so  
2025-11-03T16:26:22.9725806Z   inflating: build/lib/libshm.so     
2025-11-03T16:26:23.1892388Z   inflating: build/lib/libtorch_python.so  
2025-11-03T16:26:23.1925481Z   inflating: build/lib/libnnapi_backend.so  
2025-11-03T16:26:23.1927116Z    creating: build/bin/
2025-11-03T16:26:23.1927483Z    creating: build/bin/CMakeFiles/
2025-11-03T16:26:23.1930792Z   inflating: build/bin/cmake_install.cmake  
2025-11-03T16:26:23.1931086Z   inflating: build/bin/CTestTestfile.cmake  
2025-11-03T16:26:23.2361449Z   inflating: build/bin/protoc-3.13.0.0  
2025-11-03T16:26:23.2802555Z   inflating: build/bin/protoc        
2025-11-03T16:26:23.2856517Z   inflating: build/bin/c10_CompileTimeFunctionPointer_test  
2025-11-03T16:26:23.2912228Z   inflating: build/bin/c10_AllocatorConfig_test  
2025-11-03T16:26:23.2968201Z   inflating: build/bin/c10_Device_test  
2025-11-03T16:26:23.3029787Z   inflating: build/bin/c10_DispatchKeySet_test  
2025-11-03T16:26:23.3084521Z   inflating: build/bin/c10_DeviceGuard_test  
2025-11-03T16:26:23.3143184Z   inflating: build/bin/c10_Scalar_test  
2025-11-03T16:26:23.3194371Z   inflating: build/bin/c10_StreamGuard_test  
2025-11-03T16:26:23.3257010Z   inflating: build/bin/c10_SymInt_test  
2025-11-03T16:26:23.3315563Z   inflating: build/bin/c10_SizesAndStrides_test  
2025-11-03T16:26:23.3377257Z   inflating: build/bin/c10_InlineStreamGuard_test  
2025-11-03T16:26:23.3435556Z   inflating: build/bin/c10_InlineDeviceGuard_test  
2025-11-03T16:26:23.3510961Z   inflating: build/bin/c10_cow_test  
2025-11-03T16:26:23.3563545Z   inflating: build/bin/c10_ArrayRef_test  
2025-11-03T16:26:23.3617385Z   inflating: build/bin/c10_ConstexprCrc_test  
2025-11-03T16:26:23.3674773Z   inflating: build/bin/c10_Bitset_test  
2025-11-03T16:26:23.3734486Z   inflating: build/bin/c10_Enumerate_test  
2025-11-03T16:26:23.3788895Z   inflating: build/bin/c10_DeadlockDetection_test  
2025-11-03T16:26:23.3845878Z   inflating: build/bin/c10_LeftRight_test  
2025-11-03T16:26:23.3902105Z   inflating: build/bin/c10_IntrusiveList_test  
2025-11-03T16:26:23.3957496Z   inflating: build/bin/c10_Half_test  
2025-11-03T16:26:23.4020705Z   inflating: build/bin/c10_Metaprogramming_test  
2025-11-03T16:26:23.4072532Z   inflating: build/bin/c10_Semaphore_test  
2025-11-03T16:26:23.4127467Z   inflating: build/bin/c10_NetworkFlow_test  
2025-11-03T16:26:23.4183264Z   inflating: build/bin/c10_Synchronized_test  
2025-11-03T16:26:23.4241093Z   inflating: build/bin/c10_ThreadLocal_test  
2025-11-03T16:26:23.4299510Z   inflating: build/bin/c10_TypeList_test  
2025-11-03T16:26:23.4355164Z   inflating: build/bin/c10_TypeIndex_test  
2025-11-03T16:26:23.4410647Z   inflating: build/bin/c10_accumulate_test  
2025-11-03T16:26:23.4463451Z   inflating: build/bin/c10_TypeTraits_test  
2025-11-03T16:26:23.4523906Z   inflating: build/bin/c10_bfloat16_test  
2025-11-03T16:26:23.4584450Z   inflating: build/bin/c10_complex_math_test  
2025-11-03T16:26:23.4643937Z   inflating: build/bin/c10_exception_test  
2025-11-03T16:26:23.4697307Z   inflating: build/bin/c10_error_test  
2025-11-03T16:26:23.4754953Z   inflating: build/bin/c10_complex_test  
2025-11-03T16:26:23.4804120Z   inflating: build/bin/c10_bit_cast_test  
2025-11-03T16:26:23.4858908Z   inflating: build/bin/c10_flags_test  
2025-11-03T16:26:23.4912915Z   inflating: build/bin/c10_generic_math_test  
2025-11-03T16:26:23.4969637Z   inflating: build/bin/c10_irange_test  
2025-11-03T16:26:23.5024912Z   inflating: build/bin/c10_lazy_test  
2025-11-03T16:26:23.5196889Z   inflating: build/bin/c10_intrusive_ptr_test  
2025-11-03T16:26:23.5258474Z   inflating: build/bin/c10_logging_test  
2025-11-03T16:26:23.5339512Z   inflating: build/bin/c10_optional_test  
2025-11-03T16:26:23.5407089Z   inflating: build/bin/c10_ordered_preserving_dict_test  
2025-11-03T16:26:23.5466701Z   inflating: build/bin/c10_registry_test  
2025-11-03T16:26:23.5628535Z   inflating: build/bin/c10_small_vector_test  
2025-11-03T16:26:23.5685818Z   inflating: build/bin/c10_ssize_test  
2025-11-03T16:26:23.5748307Z   inflating: build/bin/c10_string_util_test  
2025-11-03T16:26:23.5806217Z   inflating: build/bin/c10_tempfile_test  
2025-11-03T16:26:23.5851762Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2025-11-03T16:26:23.5906126Z   inflating: build/bin/c10_string_view_test  
2025-11-03T16:26:23.5968872Z   inflating: build/bin/c10_typeid_test  
2025-11-03T16:26:23.6553897Z   inflating: build/bin/vec_test_all_types_DEFAULT  
2025-11-03T16:26:23.7146511Z   inflating: build/bin/vec_test_all_types_AVX512  
2025-11-03T16:26:23.7739477Z   inflating: build/bin/vec_test_all_types_AVX2  
2025-11-03T16:26:23.7825653Z   inflating: build/bin/test_aoti_abi_check  
2025-11-03T16:26:23.7878481Z   inflating: build/bin/test_vec_half_DEFAULT  
2025-11-03T16:26:23.7932696Z   inflating: build/bin/test_vec_half_AVX512  
2025-11-03T16:26:23.7987840Z   inflating: build/bin/test_vec_half_AVX2  
2025-11-03T16:26:23.8042617Z   inflating: build/bin/BackoffTest   
2025-11-03T16:26:23.8101649Z   inflating: build/bin/FileStoreTest  
2025-11-03T16:26:23.8164066Z   inflating: build/bin/static_runtime_bench  
2025-11-03T16:26:23.8422700Z   inflating: build/bin/static_runtime_test  
2025-11-03T16:26:23.8502247Z   inflating: build/bin/Dict_test     
2025-11-03T16:26:23.8560349Z   inflating: build/bin/Dimname_test  
2025-11-03T16:26:23.8631126Z   inflating: build/bin/MaybeOwned_test  
2025-11-03T16:26:23.8695211Z   inflating: build/bin/NamedTensor_test  
2025-11-03T16:26:23.8756164Z   inflating: build/bin/apply_utils_test  
2025-11-03T16:26:23.8817810Z   inflating: build/bin/atest         
2025-11-03T16:26:23.8884882Z   inflating: build/bin/basic         
2025-11-03T16:26:23.8946957Z   inflating: build/bin/broadcast_test  
2025-11-03T16:26:23.8998564Z   inflating: build/bin/cpu_allocator_test  
2025-11-03T16:26:23.9062706Z   inflating: build/bin/cpu_generator_test  
2025-11-03T16:26:23.9115770Z   inflating: build/bin/cpu_profiling_allocator_test  
2025-11-03T16:26:23.9212136Z   inflating: build/bin/cpu_rng_test  
2025-11-03T16:26:23.9265753Z   inflating: build/bin/dlconvertor_test  
2025-11-03T16:26:23.9326348Z   inflating: build/bin/extension_backend_test  
2025-11-03T16:26:23.9384666Z   inflating: build/bin/half_test     
2025-11-03T16:26:23.9485921Z   inflating: build/bin/ivalue_test   
2025-11-03T16:26:23.9538771Z   inflating: build/bin/lazy_tensor_test  
2025-11-03T16:26:23.9596210Z   inflating: build/bin/math_kernel_test  
2025-11-03T16:26:23.9657918Z   inflating: build/bin/memory_format_test  
2025-11-03T16:26:23.9714801Z   inflating: build/bin/memory_overlapping_test  
2025-11-03T16:26:23.9775875Z   inflating: build/bin/mobile_memory_cleanup  
2025-11-03T16:26:23.9835253Z   inflating: build/bin/native_test   
2025-11-03T16:26:23.9892142Z   inflating: build/bin/operator_name_test  
2025-11-03T16:26:23.9950326Z   inflating: build/bin/operators_test  
2025-11-03T16:26:24.0006851Z   inflating: build/bin/packedtensoraccessor_test  
2025-11-03T16:26:24.0080916Z   inflating: build/bin/pow_test      
2025-11-03T16:26:24.0144531Z   inflating: build/bin/quantized_test  
2025-11-03T16:26:24.0199082Z   inflating: build/bin/reduce_ops_test  
2025-11-03T16:26:24.0255562Z   inflating: build/bin/reportMemoryUsage_test  
2025-11-03T16:26:24.0319274Z   inflating: build/bin/scalar_tensor_test  
2025-11-03T16:26:24.0380518Z   inflating: build/bin/scalar_test   
2025-11-03T16:26:24.0436815Z   inflating: build/bin/StorageUtils_test  
2025-11-03T16:26:24.0495978Z   inflating: build/bin/stride_properties_test  
2025-11-03T16:26:24.0582256Z   inflating: build/bin/tensor_iterator_test  
2025-11-03T16:26:24.0639776Z   inflating: build/bin/test_parallel  
2025-11-03T16:26:24.0696359Z   inflating: build/bin/thread_init_test  
2025-11-03T16:26:24.0757923Z   inflating: build/bin/type_ptr_test  
2025-11-03T16:26:24.0824899Z   inflating: build/bin/type_test     
2025-11-03T16:26:24.0883463Z   inflating: build/bin/undefined_tensor_test  
2025-11-03T16:26:24.0936875Z   inflating: build/bin/verify_api_visibility  
2025-11-03T16:26:24.1013841Z   inflating: build/bin/legacy_vmap_test  
2025-11-03T16:26:24.1069142Z   inflating: build/bin/weakref_test  
2025-11-03T16:26:24.1126998Z   inflating: build/bin/wrapdim_test  
2025-11-03T16:26:24.1182769Z   inflating: build/bin/xla_tensor_test  
2025-11-03T16:26:24.1245889Z   inflating: build/bin/IListRef_test  
2025-11-03T16:26:24.1356896Z   inflating: build/bin/List_test     
2025-11-03T16:26:24.1429405Z   inflating: build/bin/KernelFunction_test  
2025-11-03T16:26:24.1554642Z   inflating: build/bin/kernel_function_legacy_test  
2025-11-03T16:26:24.1656766Z   inflating: build/bin/kernel_function_test  
2025-11-03T16:26:24.1790670Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-11-03T16:26:24.1895718Z   inflating: build/bin/kernel_lambda_test  
2025-11-03T16:26:24.1959845Z   inflating: build/bin/kernel_stackbased_test  
2025-11-03T16:26:24.2054876Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-11-03T16:26:24.2110494Z   inflating: build/bin/CppSignature_test  
2025-11-03T16:26:24.2167522Z   inflating: build/bin/backend_fallback_test  
2025-11-03T16:26:24.2219133Z   inflating: build/bin/op_allowlist_test  
2025-11-03T16:26:24.2513423Z   inflating: build/bin/op_registration_test  
2025-11-03T16:26:24.2585250Z   inflating: build/bin/inline_container_test  
2025-11-03T16:26:24.2914342Z   inflating: build/bin/test_lazy     
2025-11-03T16:26:24.2978233Z   inflating: build/bin/TCPStoreTest  
2025-11-03T16:26:24.3037048Z   inflating: build/bin/HashStoreTest  
2025-11-03T16:26:24.4118925Z   inflating: build/bin/test_jit      
2025-11-03T16:26:24.4185104Z   inflating: build/bin/ProcessGroupGlooTest  
2025-11-03T16:26:24.4188946Z   inflating: build/bin/example_allreduce  
2025-11-03T16:26:24.4247524Z   inflating: build/bin/test_aoti_inference  
2025-11-03T16:26:24.4305937Z   inflating: build/bin/test_dist_autograd  
2025-11-03T16:26:24.4381181Z   inflating: build/bin/test_cpp_rpc  
2025-11-03T16:26:24.5463662Z   inflating: build/bin/test_api      
2025-11-03T16:26:24.5464233Z   inflating: build/bin/parallel_benchmark  
2025-11-03T16:26:24.5471024Z   inflating: build/bin/torch_shm_manager  
2025-11-03T16:26:24.5471383Z    creating: .additional_ci_files/
2025-11-03T16:26:24.5523508Z   inflating: .additional_ci_files/test-times.json  
2025-11-03T16:26:24.5718274Z   inflating: .additional_ci_files/test-class-times.json  
2025-11-03T16:26:24.5744196Z ##[group]Run rm artifacts.zip
2025-11-03T16:26:24.5744441Z rm artifacts.zip
2025-11-03T16:26:24.5749393Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:24.5749631Z env:
2025-11-03T16:26:24.5749781Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:24.5749957Z ##[endgroup]
2025-11-03T16:26:24.6180827Z ##[group]Run df -H
2025-11-03T16:26:24.6181036Z df -H
2025-11-03T16:26:24.6186307Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:24.6186556Z env:
2025-11-03T16:26:24.6186747Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:24.6186933Z ##[endgroup]
2025-11-03T16:26:24.6233798Z Filesystem        Size  Used Avail Use% Mounted on
2025-11-03T16:26:24.6234240Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-11-03T16:26:24.6234564Z tmpfs              67G     0   67G   0% /dev/shm
2025-11-03T16:26:24.6235382Z tmpfs              27G  791k   27G   1% /run
2025-11-03T16:26:24.6235731Z /dev/nvme0n1p1    215G   71G  144G  34% /
2025-11-03T16:26:24.6235969Z tmpfs              67G   13k   67G   1% /tmp
2025-11-03T16:26:24.6236249Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-11-03T16:26:24.6261372Z Prepare all required actions
2025-11-03T16:26:24.6262329Z Getting action download info
2025-11-03T16:26:24.8246992Z ##[group]Run ./.github/actions/download-td-artifacts
2025-11-03T16:26:24.8247306Z with:
2025-11-03T16:26:24.8247473Z env:
2025-11-03T16:26:24.8247634Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:24.8247818Z ##[endgroup]
2025-11-03T16:26:24.8347562Z ##[group]Run seemethere/download-artifact-s3@v4
2025-11-03T16:26:24.8347823Z with:
2025-11-03T16:26:24.8347984Z   name: td_results
2025-11-03T16:26:24.8348175Z   s3-bucket: gha-artifacts
2025-11-03T16:26:24.8348382Z   region: us-east-1
2025-11-03T16:26:24.8348559Z env:
2025-11-03T16:26:24.8348722Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:24.8348918Z ##[endgroup]
2025-11-03T16:26:25.4075987Z (node:48184) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-11-03T16:26:25.4077184Z 
2025-11-03T16:26:25.4078273Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-11-03T16:26:25.4078722Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-11-03T16:26:25.4079100Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-11-03T16:26:25.4964694Z Found 0 objects with prefix pytorch/pytorch/19040285537/td_results/
2025-11-03T16:26:25.4969995Z Artifact download has finished successfully
2025-11-03T16:26:25.5186994Z ##[group]Run mkdir -p .additional_ci_files
2025-11-03T16:26:25.5187272Z mkdir -p .additional_ci_files
2025-11-03T16:26:25.5187560Z mv td_results.json .additional_ci_files/td_results.json || true
2025-11-03T16:26:25.5193167Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:25.5193429Z env:
2025-11-03T16:26:25.5193599Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:25.5193789Z ##[endgroup]
2025-11-03T16:26:25.5247975Z mv: cannot stat 'td_results.json': No such file or directory
2025-11-03T16:26:25.5323086Z ##[group]Run .github/scripts/parse_ref.py
2025-11-03T16:26:25.5323352Z .github/scripts/parse_ref.py
2025-11-03T16:26:25.5328179Z shell: /usr/bin/bash -e {0}
2025-11-03T16:26:25.5328368Z env:
2025-11-03T16:26:25.5328527Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:25.5328701Z ##[endgroup]
2025-11-03T16:26:25.5588307Z Setting output branch=main
2025-11-03T16:26:25.5694376Z Prepare all required actions
2025-11-03T16:26:25.5694741Z Getting action download info
2025-11-03T16:26:25.7223334Z ##[group]Run ./.github/actions/filter-test-configs
2025-11-03T16:26:25.7223572Z with:
2025-11-03T16:26:25.7223942Z   github-token: ***
2025-11-03T16:26:25.7225595Z   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"}]}
2025-11-03T16:26:25.7227307Z   job-name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:25.7227606Z env:
2025-11-03T16:26:25.7227764Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:25.7227940Z ##[endgroup]
2025-11-03T16:26:25.7301690Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:26:25.7301923Z with:
2025-11-03T16:26:25.7302084Z   shell: bash
2025-11-03T16:26:25.7302247Z   timeout_minutes: 10
2025-11-03T16:26:25.7302425Z   max_attempts: 5
2025-11-03T16:26:25.7302624Z   retry_wait_seconds: 30
2025-11-03T16:26:25.7303137Z   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

2025-11-03T16:26:25.7303640Z   polling_interval_seconds: 1
2025-11-03T16:26:25.7303853Z   warning_on_retry: true
2025-11-03T16:26:25.7304044Z   continue_on_error: false
2025-11-03T16:26:25.7304228Z env:
2025-11-03T16:26:25.7304383Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:25.7304770Z   GITHUB_TOKEN: ***
2025-11-03T16:26:25.7304942Z ##[endgroup]
2025-11-03T16:26:25.8617172Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-11-03T16:26:26.0475401Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:26:27.4790797Z Collecting requests==2.27.1
2025-11-03T16:26:27.4948248Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-11-03T16:26:27.7469822Z Collecting pyyaml==6.0.2
2025-11-03T16:26:27.7510039Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-11-03T16:26:27.8364527Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-11-03T16:26:28.1712132Z Collecting charset-normalizer~=2.0.0
2025-11-03T16:26:28.1749044Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-11-03T16:26:28.3317263Z Collecting certifi>=2017.4.17
2025-11-03T16:26:28.3362651Z   Downloading certifi-2025.10.5-py3-none-any.whl (163 kB)
2025-11-03T16:26:28.3840273Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-11-03T16:26:28.4500120Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-11-03T16:26:28.8488287Z Successfully installed certifi-2025.10.5 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-11-03T16:26:29.8370060Z Command completed after 1 attempt(s).
2025-11-03T16:26:29.8435328Z ##[group]Run set -x
2025-11-03T16:26:29.8435549Z set -x
2025-11-03T16:26:29.8435720Z 
2025-11-03T16:26:29.8435980Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-11-03T16:26:29.8436306Z # in runner workspace
2025-11-03T16:26:29.8436733Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-11-03T16:26:29.8442403Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:29.8442672Z env:
2025-11-03T16:26:29.8442838Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:29.8443038Z ##[endgroup]
2025-11-03T16:26:29.8469367Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-11-03T16:26:29.8624728Z Setting output branch=main
2025-11-03T16:26:29.8684464Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-11-03T16:26:29.8684774Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-11-03T16:26:29.8685032Z echo "Job name: ${JOB_NAME}"
2025-11-03T16:26:29.8685240Z 
2025-11-03T16:26:29.8685502Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-11-03T16:26:29.8685818Z # in runner workspace
2025-11-03T16:26:29.8686111Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-11-03T16:26:29.8686456Z   --workflow "${GITHUB_WORKFLOW}" \
2025-11-03T16:26:29.8686695Z   --job-name "${JOB_NAME}" \
2025-11-03T16:26:29.8688417Z   --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"}]}" \
2025-11-03T16:26:29.8690181Z   --selected-test-configs "" \
2025-11-03T16:26:29.8690429Z   --pr-number "${PR_NUMBER}" \
2025-11-03T16:26:29.8690649Z   --tag "${TAG}" \
2025-11-03T16:26:29.8690868Z   --event-name "${EVENT_NAME}" \
2025-11-03T16:26:29.8691100Z   --schedule "${SCHEDULE}" \
2025-11-03T16:26:29.8691330Z   --branch "${HEAD_BRANCH}"
2025-11-03T16:26:29.8696277Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:29.8696530Z env:
2025-11-03T16:26:29.8696704Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:29.8697326Z   GITHUB_TOKEN: ***
2025-11-03T16:26:29.8697639Z   JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:29.8697950Z   PR_NUMBER: 
2025-11-03T16:26:29.8698122Z   TAG: 
2025-11-03T16:26:29.8698284Z   EVENT_NAME: push
2025-11-03T16:26:29.8698459Z   SCHEDULE: 
2025-11-03T16:26:29.8698617Z   HEAD_BRANCH: main
2025-11-03T16:26:29.8698797Z ##[endgroup]
2025-11-03T16:26:29.8721550Z Workflow: inductor
2025-11-03T16:26:29.8721929Z Job name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:30.0398435Z Setting output keep-going=True
2025-11-03T16:26:30.0398805Z Setting output ci-verbose-test-logs=False
2025-11-03T16:26:30.0399072Z Setting output ci-test-showlocals=False
2025-11-03T16:26:30.0399318Z Setting output ci-no-test-timeout=False
2025-11-03T16:26:30.0399554Z Setting output ci-no-td=False
2025-11-03T16:26:30.0399787Z Setting output ci-td-distributed=False
2025-11-03T16:26:30.0400034Z Setting output is-unstable=False
2025-11-03T16:26:30.0400295Z Setting output reenabled-issues=
2025-11-03T16:26:30.0402456Z 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"}]}
2025-11-03T16:26:30.0404348Z Setting output is-test-matrix-empty=False
2025-11-03T16:26:30.0542018Z ##[group]Run echo "Filtered matrix:"
2025-11-03T16:26:30.0542299Z echo "Filtered matrix:"
2025-11-03T16:26:30.0544049Z 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"}]}"
2025-11-03T16:26:30.0545815Z 
2025-11-03T16:26:30.0545978Z echo
2025-11-03T16:26:30.0546179Z echo "Is the current job unstable? False"
2025-11-03T16:26:30.0546420Z 
2025-11-03T16:26:30.0546581Z echo
2025-11-03T16:26:30.0546777Z echo "Is keep-going label set? True"
2025-11-03T16:26:30.0547002Z 
2025-11-03T16:26:30.0547158Z echo
2025-11-03T16:26:30.0547338Z echo "Reenabled issues? "
2025-11-03T16:26:30.0552537Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:30.0552794Z env:
2025-11-03T16:26:30.0552969Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:30.0553165Z ##[endgroup]
2025-11-03T16:26:30.0576364Z Filtered matrix:
2025-11-03T16:26:30.0578157Z {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}]}
2025-11-03T16:26:30.0580074Z 
2025-11-03T16:26:30.0580173Z Is the current job unstable? False
2025-11-03T16:26:30.0580328Z 
2025-11-03T16:26:30.0580413Z Is keep-going label set? True
2025-11-03T16:26:30.0580557Z 
2025-11-03T16:26:30.0580629Z Reenabled issues? 
2025-11-03T16:26:30.0617027Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-11-03T16:26:30.0617399Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-11-03T16:26:30.0622167Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:30.0622441Z env:
2025-11-03T16:26:30.0622613Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:30.0622807Z   JOB_TIMEOUT: 240
2025-11-03T16:26:30.0622959Z ##[endgroup]
2025-11-03T16:26:30.0676633Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:26:30.0677014Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:26:30.0677317Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:26:30.0682245Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:26:30.0682518Z env:
2025-11-03T16:26:30.0682699Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:30.0682894Z ##[endgroup]
2025-11-03T16:26:30.0801679Z ##[group]Run set -x
2025-11-03T16:26:30.0801958Z set -x
2025-11-03T16:26:30.0802127Z 
2025-11-03T16:26:30.0802312Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-11-03T16:26:30.0802591Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-11-03T16:26:30.0802884Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-11-03T16:26:30.0803134Z   TEST_COMMAND=.ci/onnx/test.sh
2025-11-03T16:26:30.0803337Z else
2025-11-03T16:26:30.0803527Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-11-03T16:26:30.0803743Z fi
2025-11-03T16:26:30.0803897Z 
2025-11-03T16:26:30.0804082Z # Leaving 1GB for the runner and other things
2025-11-03T16:26:30.0804463Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-11-03T16:26:30.0805043Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-11-03T16:26:30.0805498Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-11-03T16:26:30.0805837Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-11-03T16:26:30.0806111Z 
2025-11-03T16:26:30.0806312Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-11-03T16:26:30.0806557Z   SHM_OPTS=
2025-11-03T16:26:30.0806735Z   JENKINS_USER=
2025-11-03T16:26:30.0806985Z   # ensure that docker container cleanly exits in 12 hours
2025-11-03T16:26:30.0807304Z   # if for some reason cleanup action doesn't stop container
2025-11-03T16:26:30.0807572Z   # when job is cancelled
2025-11-03T16:26:30.0807794Z   DOCKER_SHELL_CMD="sleep 12h"
2025-11-03T16:26:30.0807997Z else
2025-11-03T16:26:30.0808188Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-11-03T16:26:30.0808425Z   JENKINS_USER="--user jenkins"
2025-11-03T16:26:30.0808645Z   DOCKER_SHELL_CMD=
2025-11-03T16:26:30.0808849Z fi
2025-11-03T16:26:30.0809005Z 
2025-11-03T16:26:30.0809239Z # detached container should get cleaned up by teardown_ec2_linux
2025-11-03T16:26:30.0809591Z # TODO: Stop building test binaries as part of the build phase
2025-11-03T16:26:30.0810074Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-11-03T16:26:30.0810416Z # shellcheck disable=SC2086,SC2090
2025-11-03T16:26:30.0810646Z container_name=$(docker run \
2025-11-03T16:26:30.0810855Z   ${GPU_FLAG:-} \
2025-11-03T16:26:30.0811062Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-11-03T16:26:30.0811281Z   -e BUILD_ENVIRONMENT \
2025-11-03T16:26:30.0811488Z   -e PR_NUMBER \
2025-11-03T16:26:30.0811681Z   -e GITHUB_ACTIONS \
2025-11-03T16:26:30.0811882Z   -e GITHUB_REPOSITORY \
2025-11-03T16:26:30.0812082Z   -e GITHUB_WORKFLOW \
2025-11-03T16:26:30.0812277Z   -e GITHUB_JOB \
2025-11-03T16:26:30.0812462Z   -e GITHUB_RUN_ID \
2025-11-03T16:26:30.0812652Z   -e GITHUB_RUN_NUMBER \
2025-11-03T16:26:30.0812841Z   -e GITHUB_RUN_ATTEMPT \
2025-11-03T16:26:30.0813045Z   -e JOB_ID \
2025-11-03T16:26:30.0813219Z   -e JOB_NAME \
2025-11-03T16:26:30.0813397Z   -e BASE_SHA \
2025-11-03T16:26:30.0813562Z   -e BRANCH \
2025-11-03T16:26:30.0813731Z   -e SHA1 \
2025-11-03T16:26:30.0813901Z   -e AWS_DEFAULT_REGION \
2025-11-03T16:26:30.0814096Z   -e IN_WHEEL_TEST \
2025-11-03T16:26:30.0814271Z   -e SHARD_NUMBER \
2025-11-03T16:26:30.0814454Z   -e TEST_CONFIG \
2025-11-03T16:26:30.0814638Z   -e NUM_TEST_SHARDS \
2025-11-03T16:26:30.0814831Z   -e REENABLED_ISSUES \
2025-11-03T16:26:30.0815027Z   -e CONTINUE_THROUGH_ERROR \
2025-11-03T16:26:30.0815306Z   -e VERBOSE_TEST_LOGS \
2025-11-03T16:26:30.0815504Z   -e TEST_SHOWLOCALS \
2025-11-03T16:26:30.0815696Z   -e NO_TEST_TIMEOUT \
2025-11-03T16:26:30.0815872Z   -e NO_TD \
2025-11-03T16:26:30.0816052Z   -e TD_DISTRIBUTED \
2025-11-03T16:26:30.0816245Z   -e PR_LABELS \
2025-11-03T16:26:30.0816451Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-11-03T16:26:30.0816662Z   -e SCCACHE_BUCKET \
2025-11-03T16:26:30.0816855Z   -e SCCACHE_REGION \
2025-11-03T16:26:30.0817208Z   -e XLA_CUDA \
2025-11-03T16:26:30.0817412Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-11-03T16:26:30.0817653Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-11-03T16:26:30.0817889Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-11-03T16:26:30.0818132Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-11-03T16:26:30.0818365Z   -e HUGGING_FACE_HUB_TOKEN \
2025-11-03T16:26:30.0818596Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-11-03T16:26:30.0818820Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-11-03T16:26:30.0819036Z   -e DASHBOARD_TAG \
2025-11-03T16:26:30.0819239Z   -e ARTIFACTS_FILE_SUFFIX \
2025-11-03T16:26:30.0819486Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-11-03T16:26:30.0819755Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-11-03T16:26:30.0820024Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-11-03T16:26:30.0820284Z   --security-opt seccomp=unconfined \
2025-11-03T16:26:30.0820510Z   --cap-add=SYS_PTRACE \
2025-11-03T16:26:30.0820706Z   --ipc=host \
2025-11-03T16:26:30.0820876Z   ${SHM_OPTS} \
2025-11-03T16:26:30.0821052Z   --tty \
2025-11-03T16:26:30.0821220Z   --detach \
2025-11-03T16:26:30.0821407Z   --name="${container_name}" \
2025-11-03T16:26:30.0821610Z   ${JENKINS_USER} \
2025-11-03T16:26:30.0821849Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-11-03T16:26:30.0822105Z   -w /var/lib/jenkins/workspace \
2025-11-03T16:26:30.0822314Z   "${DOCKER_IMAGE}" \
2025-11-03T16:26:30.0822496Z   ${DOCKER_SHELL_CMD}
2025-11-03T16:26:30.0822727Z )
2025-11-03T16:26:30.0822950Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-11-03T16:26:30.0823203Z 
2025-11-03T16:26:30.0823382Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-11-03T16:26:30.0823750Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-11-03T16:26:30.0824068Z fi
2025-11-03T16:26:30.0824216Z 
2025-11-03T16:26:30.0824524Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-11-03T16:26:30.0829467Z shell: /usr/bin/bash -e {0}
2025-11-03T16:26:30.0829659Z env:
2025-11-03T16:26:30.0829825Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:26:30.0830058Z   BUILD_ENVIRONMENT: linux-jammy-py3.10-gcc11-build
2025-11-03T16:26:30.0830282Z   PR_NUMBER: 
2025-11-03T16:26:30.0830458Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-11-03T16:26:30.0830667Z   GITHUB_WORKFLOW: inductor
2025-11-03T16:26:30.0830854Z   GITHUB_JOB: test
2025-11-03T16:26:30.0831016Z   GITHUB_RUN_ID: 19040285537
2025-11-03T16:26:30.0831216Z   GITHUB_RUN_NUMBER: 163246
2025-11-03T16:26:30.0831408Z   GITHUB_RUN_ATTEMPT: 1
2025-11-03T16:26:30.0831592Z   JOB_ID: 54378387661
2025-11-03T16:26:30.0831878Z   JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:30.0832199Z   BRANCH: main
2025-11-03T16:26:30.0832398Z   SHA1: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:30.0832665Z   BASE_SHA: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:30.0832909Z   TEST_CONFIG: cpu_inductor_torchbench
2025-11-03T16:26:30.0833124Z   SHARD_NUMBER: 1
2025-11-03T16:26:30.0833373Z   NUM_TEST_SHARDS: 2
2025-11-03T16:26:30.0833552Z   EXTRA_FLAGS: 
2025-11-03T16:26:30.0833716Z   OP_BENCHMARK_TESTS: 
2025-11-03T16:26:30.0833894Z   REENABLED_ISSUES: 
2025-11-03T16:26:30.0834079Z   CONTINUE_THROUGH_ERROR: True
2025-11-03T16:26:30.0834281Z   VERBOSE_TEST_LOGS: False
2025-11-03T16:26:30.0834469Z   TEST_SHOWLOCALS: False
2025-11-03T16:26:30.0834660Z   NO_TEST_TIMEOUT: False
2025-11-03T16:26:30.0834842Z   NO_TD: False
2025-11-03T16:26:30.0835016Z   TD_DISTRIBUTED: False
2025-11-03T16:26:30.0835236Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-11-03T16:26:30.0835492Z   SCCACHE_REGION: us-east-1
2025-11-03T16:26:30.0835685Z   SHM_SIZE: 1g
2025-11-03T16:26:30.0836228Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:26:30.0836785Z   XLA_CUDA: 
2025-11-03T16:26:30.0837030Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:26:30.0837340Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-11-03T16:26:30.0837571Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-11-03T16:26:30.0837883Z   DASHBOARD_TAG: 
2025-11-03T16:26:30.0838282Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-11-03T16:26:30.0838576Z   HUGGING_FACE_HUB_TOKEN: ***
2025-11-03T16:26:30.0838903Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-11-03T16:26:30.0839244Z   ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661
2025-11-03T16:26:30.0839586Z ##[endgroup]
2025-11-03T16:26:30.0864890Z + [[ cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]]
2025-11-03T16:26:30.0865203Z + [[ linux-jammy-py3.10-gcc11-build == *onnx* ]]
2025-11-03T16:26:30.0865471Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-11-03T16:26:30.0872812Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-11-03T16:26:30.0960668Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 '
2025-11-03T16:26:30.0960969Z + TOTAL_MEMORY_WITH_SWAP=125
2025-11-03T16:26:30.0961264Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-11-03T16:26:30.0961534Z + SHM_OPTS=--shm-size=1g
2025-11-03T16:26:30.0961745Z + JENKINS_USER='--user jenkins'
2025-11-03T16:26:30.0961951Z + DOCKER_SHELL_CMD=
2025-11-03T16:26:30.0974912Z +++ nproc --ignore=2
2025-11-03T16:26:30.0999965Z ++ 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
2025-11-03T16:26:39.3615635Z + container_name=dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:26:39.3616158Z + echo DOCKER_CONTAINER_ID=dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:26:39.3616539Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-11-03T16:26:39.3621178Z ++ echo dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl
2025-11-03T16:26:39.3623513Z + docker exec -t dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03 sh -c 'python3 -m pip install dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-11-03T16:26:39.8543525Z Processing ./dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+git3f6538f)
2025-11-03T16:26:40.0809632Z 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)
2025-11-03T16:26:40.0810731Z 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)
2025-11-03T16:26:40.0817807Z 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)
2025-11-03T16:26:40.0818992Z 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)
2025-11-03T16:26:40.0819780Z 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)
2025-11-03T16:26:40.0825216Z 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)
2025-11-03T16:26:40.0833694Z 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)
2025-11-03T16:26:40.1134870Z 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)
2025-11-03T16:26:40.1147444Z 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)
2025-11-03T16:26:40.1199034Z 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)
2025-11-03T16:26:40.9262362Z Installing collected packages: torch
2025-11-03T16:26:48.8332113Z 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.
2025-11-03T16:26:48.8332800Z dall-e 0.1 requires torchvision, which is not installed.
2025-11-03T16:26:48.8333110Z effdet 0.4.1 requires torchvision, which is not installed.
2025-11-03T16:26:48.8333471Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-11-03T16:26:48.8333903Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-11-03T16:26:48.8334448Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-11-03T16:26:48.8334969Z timm 1.0.14 requires torchvision, which is not installed.
2025-11-03T16:26:48.8335331Z Successfully installed torch-2.10.0a0+git3f6538f
2025-11-03T16:26:48.9653442Z + export TERM=vt100
2025-11-03T16:26:48.9657045Z + TERM=vt100
2025-11-03T16:26:48.9657358Z ++ dirname .ci/pytorch/test.sh
2025-11-03T16:26:48.9664371Z + source .ci/pytorch/common.sh
2025-11-03T16:26:48.9664711Z +++ dirname .ci/pytorch/common.sh
2025-11-03T16:26:48.9671940Z ++ source .ci/pytorch/common_utils.sh
2025-11-03T16:26:48.9675941Z +++ declare -f -t trap_add
2025-11-03T16:26:48.9676202Z ++ set -ex -o pipefail
2025-11-03T16:26:48.9676447Z ++ [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-11-03T16:26:48.9676702Z ++ BUILD_TEST_LIBTORCH=0
2025-11-03T16:26:48.9687613Z ++ dirname .ci/pytorch/test.sh
2025-11-03T16:26:48.9710663Z + source .ci/pytorch/common-build.sh
2025-11-03T16:26:48.9711132Z ++ [[ linux-jammy-py3.10-gcc11-build != *win-* ]]
2025-11-03T16:26:48.9714802Z ++++ dirname .ci/pytorch/common-build.sh
2025-11-03T16:26:48.9719460Z +++ cd .ci/pytorch
2025-11-03T16:26:48.9724614Z +++ pwd -P
2025-11-03T16:26:48.9724912Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-11-03T16:26:48.9725260Z ++ [[ linux-jammy-py3.10-gcc11-build == *-pch* ]]
2025-11-03T16:26:48.9725536Z ++ which sccache
2025-11-03T16:26:48.9747414Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-11-03T16:26:48.9748077Z ++ sccache --stop-server
2025-11-03T16:26:48.9769497Z ++ true
2025-11-03T16:26:48.9769746Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-11-03T16:26:48.9781761Z ++ trap_add sccache_epilogue EXIT
2025-11-03T16:26:48.9782067Z ++ trap_add_cmd=sccache_epilogue
2025-11-03T16:26:48.9782264Z ++ shift
2025-11-03T16:26:48.9782594Z ++ for trap_add_name in "$@"
2025-11-03T16:26:48.9788117Z ++++ trap -p EXIT
2025-11-03T16:26:48.9793154Z +++ eval 'extract_trap_cmd '
2025-11-03T16:26:48.9793426Z ++++ extract_trap_cmd
2025-11-03T16:26:48.9793619Z ++++ printf '%s\n' ''
2025-11-03T16:26:48.9793852Z +++ printf '%s\n' sccache_epilogue
2025-11-03T16:26:48.9794076Z ++ trap -- '
2025-11-03T16:26:48.9794258Z sccache_epilogue' EXIT
2025-11-03T16:26:48.9794435Z ++ [[ -n 1 ]]
2025-11-03T16:26:48.9794723Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-11-03T16:26:48.9795146Z Skipping sccache server initialization, setting environment variables
2025-11-03T16:26:48.9795454Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:26:48.9795666Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:26:48.9795922Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:26:48.9796233Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:26:48.9807490Z ++ export RUST_LOG=sccache::server=error
2025-11-03T16:26:48.9807775Z ++ RUST_LOG=sccache::server=error
2025-11-03T16:26:48.9808006Z ++ sccache --zero-stats
2025-11-03T16:26:49.1253218Z Statistics zeroed.
2025-11-03T16:26:49.1256568Z ++ which ccache
2025-11-03T16:26:49.1280371Z + [[ linux-jammy-py3.10-gcc11-build != *rocm* ]]
2025-11-03T16:26:49.1280706Z + [[ linux-jammy-py3.10-gcc11-build != *s390x* ]]
2025-11-03T16:26:49.1280973Z + [[ -d /var/lib/jenkins/workspace ]]
2025-11-03T16:26:49.1286160Z ++ stat -c %u /var/lib/jenkins/workspace
2025-11-03T16:26:49.1300397Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-11-03T16:26:49.1300949Z + trap_add cleanup_workspace EXIT
2025-11-03T16:26:49.1301164Z + trap_add_cmd=cleanup_workspace
2025-11-03T16:26:49.1301365Z + shift
2025-11-03T16:26:49.1301535Z + for trap_add_name in "$@"
2025-11-03T16:26:49.1308139Z +++ trap -p EXIT
2025-11-03T16:26:49.1308436Z ++ eval 'extract_trap_cmd trap -- '\''
2025-11-03T16:26:49.1308871Z sccache_epilogue'\'' EXIT'
2025-11-03T16:26:49.1309194Z +++ extract_trap_cmd trap -- '
2025-11-03T16:26:49.1309527Z sccache_epilogue' EXIT
2025-11-03T16:26:49.1309829Z +++ printf '%s\n' '
2025-11-03T16:26:49.1310097Z sccache_epilogue'
2025-11-03T16:26:49.1310381Z ++ printf '%s\n' cleanup_workspace
2025-11-03T16:26:49.1311015Z + trap -- '
2025-11-03T16:26:49.1311251Z sccache_epilogue
2025-11-03T16:26:49.1311446Z cleanup_workspace' EXIT
2025-11-03T16:26:49.1311752Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-11-03T16:26:49.6065155Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-11-03T16:26:49.6085847Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:26:49.6086170Z + echo 'Environment variables:'
2025-11-03T16:26:49.6086389Z Environment variables:
2025-11-03T16:26:49.6086579Z + env
2025-11-03T16:26:49.6093937Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:26:49.6094392Z CONTINUE_THROUGH_ERROR=True
2025-11-03T16:26:49.6094659Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-11-03T16:26:49.6095164Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-11-03T16:26:49.6095378Z HOSTNAME=dc70d86de093
2025-11-03T16:26:49.6095798Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_1791a1a4-1cd9-4df1-8abb-423a6af7b365
2025-11-03T16:26:49.6096534Z GITHUB_ACTION=__run_3
2025-11-03T16:26:49.6096750Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-11-03T16:26:49.6096970Z GITHUB_RUN_NUMBER=163246
2025-11-03T16:26:49.6097190Z TEST_CONFIG=cpu_inductor_torchbench
2025-11-03T16:26:49.6097417Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-11-03T16:26:49.6097668Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-11-03T16:26:49.6097900Z SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:26:49.6098217Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-11-03T16:26:49.6098458Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-11-03T16:26:49.6098695Z GITHUB_REF_TYPE=branch
2025-11-03T16:26:49.6098909Z BASE_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:49.6099151Z XLA_CUDA=
2025-11-03T16:26:49.6099325Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-11-03T16:26:49.6099613Z HUGGING_FACE_HUB_TOKEN=***
2025-11-03T16:26:49.6100096Z ***
2025-11-03T16:26:49.6100267Z GITHUB_REPOSITORY_ID=65600975
2025-11-03T16:26:49.6100478Z GITHUB_ACTIONS=true
2025-11-03T16:26:49.6100703Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:26:49.6100990Z SHA1=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:49.6101254Z GITHUB_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:49.6101625Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-11-03T16:26:49.6101958Z UCC_HOME=/usr
2025-11-03T16:26:49.6102130Z VERBOSE_TEST_LOGS=False
2025-11-03T16:26:49.6102343Z GITHUB_REF=refs/heads/main
2025-11-03T16:26:49.6102584Z SHARD_NUMBER=1
2025-11-03T16:26:49.6102765Z GITHUB_REF_PROTECTED=true
2025-11-03T16:26:49.6102965Z HOME=/var/lib/jenkins
2025-11-03T16:26:49.6103170Z GITHUB_API_URL=https://api.github.com
2025-11-03T16:26:49.6103433Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-11-03T16:26:49.6103646Z UCX_COMMIT=
2025-11-03T16:26:49.6103815Z USE_SYSTEM_NCCL=1
2025-11-03T16:26:49.6103988Z NUM_TEST_SHARDS=2
2025-11-03T16:26:49.6104167Z UCX_HOME=/usr
2025-11-03T16:26:49.6104589Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_1791a1a4-1cd9-4df1-8abb-423a6af7b365
2025-11-03T16:26:49.6105159Z JOB_NAME=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:49.6105741Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_1791a1a4-1cd9-4df1-8abb-423a6af7b365
2025-11-03T16:26:49.6106446Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-11-03T16:26:49.6106793Z GITHUB_EVENT_NAME=push
2025-11-03T16:26:49.6106981Z DASHBOARD_TAG=
2025-11-03T16:26:49.6107158Z GITHUB_RUN_ID=19040285537
2025-11-03T16:26:49.6107343Z INSTALLED_OPENBLAS=
2025-11-03T16:26:49.6107752Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_1791a1a4-1cd9-4df1-8abb-423a6af7b365
2025-11-03T16:26:49.6108202Z GITHUB_ACTOR=pytorchmergebot
2025-11-03T16:26:49.6108402Z PR_NUMBER=
2025-11-03T16:26:49.6108554Z DESIRED_CUDA=
2025-11-03T16:26:49.6108719Z GITHUB_RUN_ATTEMPT=1
2025-11-03T16:26:49.6108908Z ANACONDA_PYTHON_VERSION=3.10
2025-11-03T16:26:49.6109159Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-11-03T16:26:49.6109389Z TERM=vt100
2025-11-03T16:26:49.6109552Z INSTALLED_VISION=yes
2025-11-03T16:26:49.6109728Z BRANCH=main
2025-11-03T16:26:49.6109894Z SCCACHE_REGION=us-east-1
2025-11-03T16:26:49.6110089Z OPENSSL_ROOT_DIR=/opt/openssl
2025-11-03T16:26:49.6110302Z BUILD_AOT_INDUCTOR_TEST=yes
2025-11-03T16:26:49.6110504Z CUDA_PATH=/usr/local/cuda
2025-11-03T16:26:49.6110868Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-11-03T16:26:49.6111259Z GITHUB_SERVER_URL=https://github.com
2025-11-03T16:26:49.6111476Z UCC_COMMIT=
2025-11-03T16:26:49.6111644Z REENABLED_ISSUES=
2025-11-03T16:26:49.6111809Z DOCS=yes
2025-11-03T16:26:49.6111991Z SHLVL=1
2025-11-03T16:26:49.6112134Z MAX_JOBS=30
2025-11-03T16:26:49.6112300Z GITHUB_ACTOR_ID=97764156
2025-11-03T16:26:49.6112548Z GITHUB_WORKFLOW_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:49.6112806Z GITHUB_REF_NAME=main
2025-11-03T16:26:49.6113129Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:26:49.6113432Z GITHUB_JOB=test
2025-11-03T16:26:49.6113604Z NO_TEST_TIMEOUT=False
2025-11-03T16:26:49.6113793Z TD_DISTRIBUTED=False
2025-11-03T16:26:49.6113981Z GITHUB_REPOSITORY=pytorch/pytorch
2025-11-03T16:26:49.6114207Z GITHUB_RETENTION_DAYS=90
2025-11-03T16:26:49.6114403Z OPENSSL_DIR=/opt/openssl
2025-11-03T16:26:49.6114598Z GITHUB_ACTION_REPOSITORY=
2025-11-03T16:26:49.6115097Z 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
2025-11-03T16:26:49.6115630Z GITHUB_BASE_REF=
2025-11-03T16:26:49.6115810Z INSTALLED_ACL=
2025-11-03T16:26:49.6116110Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661
2025-11-03T16:26:49.6116432Z CI=true
2025-11-03T16:26:49.6116608Z GITHUB_REPOSITORY_OWNER=pytorch
2025-11-03T16:26:49.6116891Z RUST_LOG=sccache::server=error
2025-11-03T16:26:49.6117096Z JOB_ID=54378387661
2025-11-03T16:26:49.6117259Z GITHUB_HEAD_REF=
2025-11-03T16:26:49.6117434Z GITHUB_ACTION_REF=
2025-11-03T16:26:49.6117654Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-11-03T16:26:49.6118188Z TEST_SHOWLOCALS=False
2025-11-03T16:26:49.6118389Z GITHUB_WORKFLOW=inductor
2025-11-03T16:26:49.6118590Z DEBIAN_FRONTEND=noninteractive
2025-11-03T16:26:49.6119016Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_1791a1a4-1cd9-4df1-8abb-423a6af7b365
2025-11-03T16:26:49.6119454Z NO_TD=False
2025-11-03T16:26:49.6119628Z SKIP_SCCACHE_INITIALIZATION=1
2025-11-03T16:26:49.6119853Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-11-03T16:26:49.6120077Z _=/usr/bin/env
2025-11-03T16:26:49.6120335Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-11-03T16:26:49.6349774Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-11-03T16:26:49.6352713Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T16:26:49.6353218Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-11-03T16:26:49.6353629Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-11-03T16:26:49.6353927Z + BUILD_DIR=build
2025-11-03T16:26:49.6354512Z + BUILD_RENAMED_DIR=build_renamed
2025-11-03T16:26:49.6354742Z + BUILD_BIN_DIR=build/bin
2025-11-03T16:26:49.6354941Z + SHARD_NUMBER=1
2025-11-03T16:26:49.6355114Z + NUM_TEST_SHARDS=2
2025-11-03T16:26:49.6355318Z + export TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:26:49.6355554Z + TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:26:49.6355772Z + export VALGRIND=ON
2025-11-03T16:26:49.6355953Z + VALGRIND=ON
2025-11-03T16:26:49.6356169Z + [[ linux-jammy-py3.10-gcc11-build == *clang9* ]]
2025-11-03T16:26:49.6356469Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-11-03T16:26:49.6356719Z + detect_cuda_arch
2025-11-03T16:26:49.6356925Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:26:49.6357210Z + [[ linux-jammy-py3.10-gcc11-build == *s390x* ]]
2025-11-03T16:26:49.6357445Z + [[ 0 == \1 ]]
2025-11-03T16:26:49.6357614Z + [[ True == \1 ]]
2025-11-03T16:26:49.6358030Z + [[ linux-jammy-py3.10-gcc11-build != *bazel* ]]
2025-11-03T16:26:49.6358301Z ++ realpath build/custom_test_artifacts
2025-11-03T16:26:49.6358701Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-11-03T16:26:49.6359056Z + [[ -n '' ]]
2025-11-03T16:26:49.6359238Z + echo 'Environment variables'
2025-11-03T16:26:49.6359465Z Environment variables
2025-11-03T16:26:49.6359650Z + env
2025-11-03T16:26:49.6390130Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:26:49.6390555Z CONTINUE_THROUGH_ERROR=True
2025-11-03T16:26:49.6390810Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-11-03T16:26:49.6391322Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-11-03T16:26:49.6391545Z HOSTNAME=dc70d86de093
2025-11-03T16:26:49.6392329Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_1791a1a4-1cd9-4df1-8abb-423a6af7b365
2025-11-03T16:26:49.6392763Z GITHUB_ACTION=__run_3
2025-11-03T16:26:49.6392960Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-11-03T16:26:49.6393185Z GITHUB_RUN_NUMBER=163246
2025-11-03T16:26:49.6393392Z TEST_CONFIG=cpu_inductor_torchbench
2025-11-03T16:26:49.6393635Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-11-03T16:26:49.6393869Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-11-03T16:26:49.6394098Z SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:26:49.6394387Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-11-03T16:26:49.6394612Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-11-03T16:26:49.6394833Z GITHUB_REF_TYPE=branch
2025-11-03T16:26:49.6395052Z BASE_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:49.6395290Z XLA_CUDA=
2025-11-03T16:26:49.6395464Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-11-03T16:26:49.6395957Z HUGGING_FACE_HUB_TOKEN=***
2025-11-03T16:26:49.6396224Z ***
2025-11-03T16:26:49.6396392Z GITHUB_REPOSITORY_ID=65600975
2025-11-03T16:26:49.6396602Z GITHUB_ACTIONS=true
2025-11-03T16:26:49.6396825Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:26:49.6397093Z SHA1=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:49.6397362Z GITHUB_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:49.6397987Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-11-03T16:26:49.6398328Z UCC_HOME=/usr
2025-11-03T16:26:49.6398507Z TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:26:49.6398720Z VERBOSE_TEST_LOGS=False
2025-11-03T16:26:49.6398918Z GITHUB_REF=refs/heads/main
2025-11-03T16:26:49.6399114Z SHARD_NUMBER=1
2025-11-03T16:26:49.6399292Z GITHUB_REF_PROTECTED=true
2025-11-03T16:26:49.6399493Z HOME=/var/lib/jenkins
2025-11-03T16:26:49.6399709Z GITHUB_API_URL=https://api.github.com
2025-11-03T16:26:49.6399956Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-11-03T16:26:49.6400158Z UCX_COMMIT=
2025-11-03T16:26:49.6400325Z USE_SYSTEM_NCCL=1
2025-11-03T16:26:49.6400501Z NUM_TEST_SHARDS=2
2025-11-03T16:26:49.6400677Z UCX_HOME=/usr
2025-11-03T16:26:49.6401067Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_1791a1a4-1cd9-4df1-8abb-423a6af7b365
2025-11-03T16:26:49.6401605Z JOB_NAME=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:26:49.6402249Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_1791a1a4-1cd9-4df1-8abb-423a6af7b365
2025-11-03T16:26:49.6402786Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-11-03T16:26:49.6403130Z GITHUB_EVENT_NAME=push
2025-11-03T16:26:49.6403317Z DASHBOARD_TAG=
2025-11-03T16:26:49.6403496Z GITHUB_RUN_ID=19040285537
2025-11-03T16:26:49.6403702Z INSTALLED_OPENBLAS=
2025-11-03T16:26:49.6404109Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_1791a1a4-1cd9-4df1-8abb-423a6af7b365
2025-11-03T16:26:49.6404532Z GITHUB_ACTOR=pytorchmergebot
2025-11-03T16:26:49.6404731Z PR_NUMBER=
2025-11-03T16:26:49.6404896Z DESIRED_CUDA=
2025-11-03T16:26:49.6405065Z GITHUB_RUN_ATTEMPT=1
2025-11-03T16:26:49.6405234Z VALGRIND=ON
2025-11-03T16:26:49.6405400Z ANACONDA_PYTHON_VERSION=3.10
2025-11-03T16:26:49.6405634Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-11-03T16:26:49.6405867Z TERM=vt100
2025-11-03T16:26:49.6406018Z INSTALLED_VISION=yes
2025-11-03T16:26:49.6406188Z BRANCH=main
2025-11-03T16:26:49.6406350Z SCCACHE_REGION=us-east-1
2025-11-03T16:26:49.6406548Z OPENSSL_ROOT_DIR=/opt/openssl
2025-11-03T16:26:49.6406748Z BUILD_AOT_INDUCTOR_TEST=yes
2025-11-03T16:26:49.6406944Z CUDA_PATH=/usr/local/cuda
2025-11-03T16:26:49.6407287Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-11-03T16:26:49.6407666Z GITHUB_SERVER_URL=https://github.com
2025-11-03T16:26:49.6407871Z UCC_COMMIT=
2025-11-03T16:26:49.6408025Z REENABLED_ISSUES=
2025-11-03T16:26:49.6408193Z DOCS=yes
2025-11-03T16:26:49.6408336Z SHLVL=1
2025-11-03T16:26:49.6408485Z MAX_JOBS=30
2025-11-03T16:26:49.6408707Z GITHUB_ACTOR_ID=97764156
2025-11-03T16:26:49.6408955Z GITHUB_WORKFLOW_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:26:49.6409208Z GITHUB_REF_NAME=main
2025-11-03T16:26:49.6409474Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:26:49.6409765Z GITHUB_JOB=test
2025-11-03T16:26:49.6409937Z NO_TEST_TIMEOUT=False
2025-11-03T16:26:49.6410107Z TD_DISTRIBUTED=False
2025-11-03T16:26:49.6410298Z GITHUB_REPOSITORY=pytorch/pytorch
2025-11-03T16:26:49.6410518Z GITHUB_RETENTION_DAYS=90
2025-11-03T16:26:49.6410706Z OPENSSL_DIR=/opt/openssl
2025-11-03T16:26:49.6410891Z GITHUB_ACTION_REPOSITORY=
2025-11-03T16:26:49.6411399Z 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
2025-11-03T16:26:49.6411893Z GITHUB_BASE_REF=
2025-11-03T16:26:49.6412063Z INSTALLED_ACL=
2025-11-03T16:26:49.6412356Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661
2025-11-03T16:26:49.6412664Z CI=true
2025-11-03T16:26:49.6412832Z GITHUB_REPOSITORY_OWNER=pytorch
2025-11-03T16:26:49.6413095Z RUST_LOG=sccache::server=error
2025-11-03T16:26:49.6413289Z JOB_ID=54378387661
2025-11-03T16:26:49.6413454Z GITHUB_HEAD_REF=
2025-11-03T16:26:49.6413625Z GITHUB_ACTION_REF=
2025-11-03T16:26:49.6413837Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-11-03T16:26:49.6414069Z TEST_SHOWLOCALS=False
2025-11-03T16:26:49.6414254Z GITHUB_WORKFLOW=inductor
2025-11-03T16:26:49.6414450Z DEBIAN_FRONTEND=noninteractive
2025-11-03T16:26:49.6414853Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_1791a1a4-1cd9-4df1-8abb-423a6af7b365
2025-11-03T16:26:49.6415248Z NO_TD=False
2025-11-03T16:26:49.6415410Z SKIP_SCCACHE_INITIALIZATION=1
2025-11-03T16:26:49.6415627Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-11-03T16:26:49.6415840Z _=/usr/bin/env
2025-11-03T16:26:49.6416015Z + echo 'Testing pytorch'
2025-11-03T16:26:49.6416195Z Testing pytorch
2025-11-03T16:26:49.6416375Z + export LANG=C.UTF-8
2025-11-03T16:26:49.6416550Z + LANG=C.UTF-8
2025-11-03T16:26:49.6416702Z + PR_NUMBER=
2025-11-03T16:26:49.6416893Z + [[ cpu_inductor_torchbench == \d\e\f\a\u\l\t ]]
2025-11-03T16:26:49.6417212Z + [[ cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-11-03T16:26:49.6417463Z + [[ cpu_inductor_torchbench == \s\l\o\w ]]
2025-11-03T16:26:49.6417731Z + [[ linux-jammy-py3.10-gcc11-build == *slow-gradcheck* ]]
2025-11-03T16:26:49.6418004Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:26:49.6418260Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-11-03T16:26:49.6418512Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-11-03T16:26:49.6418759Z + [[ cpu_inductor_torchbench == *crossref* ]]
2025-11-03T16:26:49.6418996Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-11-03T16:26:49.6419245Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-11-03T16:26:49.6419506Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-11-03T16:26:49.6419752Z + pip_install ninja==1.10.2
2025-11-03T16:26:49.6420006Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-11-03T16:26:49.6420320Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-11-03T16:26:50.0704452Z Collecting ninja==1.10.2
2025-11-03T16:26:50.0867743Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-11-03T16:26:50.1098659Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-11-03T16:26:50.8964910Z Installing collected packages: ninja
2025-11-03T16:26:50.8965233Z   Attempting uninstall: ninja
2025-11-03T16:26:50.8975019Z     Found existing installation: ninja 1.11.1.4
2025-11-03T16:26:50.8987385Z     Uninstalling ninja-1.11.1.4:
2025-11-03T16:26:50.9085864Z       Successfully uninstalled ninja-1.11.1.4
2025-11-03T16:26:50.9918460Z Successfully installed ninja-1.10.2
2025-11-03T16:26:51.1538994Z + 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
2025-11-03T16:26:51.1540779Z + 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
2025-11-03T16:26:51.1546276Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-11-03T16:26:51.1548320Z + [[ linux-jammy-py3.10-gcc11-build == *asan* ]]
2025-11-03T16:26:51.1548654Z + [[ linux-jammy-py3.10-gcc11-build == *-debug* ]]
2025-11-03T16:26:51.1548935Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-11-03T16:26:51.1549314Z + echo 'We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass'
2025-11-03T16:26:51.1549760Z We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass
2025-11-03T16:26:51.1550066Z + cd test
2025-11-03T16:26:51.1550334Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-11-03T16:26:51.4419674Z /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.
2025-11-03T16:26:51.4421065Z   import pynvml  # type: ignore[import]
2025-11-03T16:26:52.4760187Z + [[ cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-11-03T16:26:52.4760567Z + [[ cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-11-03T16:26:52.4760948Z + [[ cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-11-03T16:26:52.4761259Z + DYNAMO_BENCHMARK_FLAGS=()
2025-11-03T16:26:52.4761501Z + [[ cpu_inductor_torchbench == *pr_time_benchmarks* ]]
2025-11-03T16:26:52.4761793Z + [[ cpu_inductor_torchbench == *dynamo_eager* ]]
2025-11-03T16:26:52.4762093Z + [[ cpu_inductor_torchbench == *aot_eager* ]]
2025-11-03T16:26:52.4762348Z + [[ cpu_inductor_torchbench == *aot_inductor* ]]
2025-11-03T16:26:52.4762623Z + [[ cpu_inductor_torchbench == *max_autotune_inductor* ]]
2025-11-03T16:26:52.4762893Z + [[ cpu_inductor_torchbench == *inductor* ]]
2025-11-03T16:26:52.4763559Z + [[ cpu_inductor_torchbench != *perf* ]]
2025-11-03T16:26:52.4763831Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-11-03T16:26:52.4764066Z + [[ cpu_inductor_torchbench == *dynamic* ]]
2025-11-03T16:26:52.4764308Z + [[ cpu_inductor_torchbench == *cpu* ]]
2025-11-03T16:26:52.4764545Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-11-03T16:26:52.4985790Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-11-03T16:26:52.4990558Z + [[ linux-jammy-py3.10-gcc11-build == *-bazel-* ]]
2025-11-03T16:26:52.4993106Z + cd test
2025-11-03T16:26:52.4993419Z + python -c 'import torch; print(torch.__config__.show())'
2025-11-03T16:26:52.8374816Z /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.
2025-11-03T16:26:52.8376317Z   import pynvml  # type: ignore[import]
2025-11-03T16:26:53.5404140Z PyTorch built with:
2025-11-03T16:26:53.5404403Z   - GCC 11.4
2025-11-03T16:26:53.5404587Z   - C++ Version: 201703
2025-11-03T16:26:53.5404990Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-11-03T16:26:53.5405697Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-11-03T16:26:53.5406563Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-11-03T16:26:53.5406906Z   - LAPACK is enabled (usually provided by MKL)
2025-11-03T16:26:53.5407147Z   - NNPACK is enabled
2025-11-03T16:26:53.5407359Z   - CPU capability usage: AVX512
2025-11-03T16:26:53.5410829Z   - 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, 
2025-11-03T16:26:53.5413972Z 
2025-11-03T16:26:53.8940126Z + cd test
2025-11-03T16:26:53.8940485Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-11-03T16:26:54.2456872Z /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.
2025-11-03T16:26:54.2457881Z   import pynvml  # type: ignore[import]
2025-11-03T16:26:54.9461655Z ATen/Parallel:
2025-11-03T16:26:54.9461995Z 	at::get_num_threads() : 16
2025-11-03T16:26:54.9462237Z 	at::get_num_interop_threads() : 16
2025-11-03T16:26:54.9462476Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-11-03T16:26:54.9462691Z 	omp_get_max_threads() : 16
2025-11-03T16:26:54.9463117Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-11-03T16:26:54.9463519Z 	mkl_get_max_threads() : 16
2025-11-03T16:26:54.9463804Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-11-03T16:26:54.9464109Z std::thread::hardware_concurrency() : 32
2025-11-03T16:26:54.9464793Z Environment variables:
2025-11-03T16:26:54.9464998Z 	OMP_NUM_THREADS : [not set]
2025-11-03T16:26:54.9465207Z 	MKL_NUM_THREADS : [not set]
2025-11-03T16:26:54.9465417Z ATen parallel backend: OpenMP
2025-11-03T16:26:54.9465560Z 
2025-11-03T16:26:55.2916054Z + [[ cpu_inductor_torchbench == *numpy_2* ]]
2025-11-03T16:26:55.2916405Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-11-03T16:26:55.2916723Z + [[ cpu_inductor_torchbench == *backward* ]]
2025-11-03T16:26:55.2916974Z + [[ cpu_inductor_torchbench == *xla* ]]
2025-11-03T16:26:55.2917212Z + [[ cpu_inductor_torchbench == *vllm* ]]
2025-11-03T16:26:55.2917464Z + [[ cpu_inductor_torchbench == *executorch* ]]
2025-11-03T16:26:55.2917861Z + [[ cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-11-03T16:26:55.2918161Z + [[ cpu_inductor_torchbench == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-11-03T16:26:55.2918453Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-11-03T16:26:55.2918720Z + [[ cpu_inductor_torchbench == distributed ]]
2025-11-03T16:26:55.2919016Z + [[ cpu_inductor_torchbench == *operator_benchmark* ]]
2025-11-03T16:26:55.2919315Z + [[ cpu_inductor_torchbench == *operator_microbenchmark* ]]
2025-11-03T16:26:55.2919616Z + [[ cpu_inductor_torchbench == *inductor_distributed* ]]
2025-11-03T16:26:55.2919866Z + [[ cpu_inductor_torchbench == *inductor-halide* ]]
2025-11-03T16:26:55.2920129Z + [[ cpu_inductor_torchbench == *inductor-triton-cpu* ]]
2025-11-03T16:26:55.2920406Z + [[ cpu_inductor_torchbench == *inductor-micro-benchmark* ]]
2025-11-03T16:26:55.2920708Z + [[ cpu_inductor_torchbench == *aoti_cross_compile_for_windows* ]]
2025-11-03T16:26:55.2920977Z + [[ cpu_inductor_torchbench == *huggingface* ]]
2025-11-03T16:26:55.2921586Z + [[ cpu_inductor_torchbench == *timm* ]]
2025-11-03T16:26:55.2921819Z + [[ cpu_inductor_torchbench == cachebench ]]
2025-11-03T16:26:55.2922058Z + [[ cpu_inductor_torchbench == verify_cachebench ]]
2025-11-03T16:26:55.2922301Z + [[ cpu_inductor_torchbench == *torchbench* ]]
2025-11-03T16:26:55.2922518Z + install_torchaudio
2025-11-03T16:26:55.2922686Z + local commit
2025-11-03T16:26:55.2922858Z ++ get_pinned_commit audio
2025-11-03T16:26:55.2923047Z ++ cat .github/ci_commit_pins/audio.txt
2025-11-03T16:26:55.2932366Z + commit=3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2
2025-11-03T16:26:55.2933121Z + pip_build_and_install git+https://github.com/pytorch/audio.git@3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2 dist/audio
2025-11-03T16:26:55.2933809Z + local build_target=git+https://github.com/pytorch/audio.git@3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2
2025-11-03T16:26:55.2935013Z + local wheel_dir=dist/audio
2025-11-03T16:26:55.2935293Z + local found_whl=0
2025-11-03T16:26:55.2935499Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:26:55.2935861Z + [[ -f dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl ]]
2025-11-03T16:26:55.2936180Z + found_whl=1
2025-11-03T16:26:55.2936348Z + break
2025-11-03T16:26:55.2936502Z + '[' 1 == 0 ']'
2025-11-03T16:26:55.2936689Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:26:55.2937040Z + pip_install_whl dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:26:55.2937488Z + args=('dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl')
2025-11-03T16:26:55.2937810Z + local args
2025-11-03T16:26:55.2938090Z + [[ dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-11-03T16:26:55.2938415Z + for path in "${args[@]}"
2025-11-03T16:26:55.2938747Z + echo 'Installing dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl'
2025-11-03T16:26:55.2939196Z Installing dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:26:55.2939708Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:26:55.6022139Z Processing ./dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:26:55.6075679Z Installing collected packages: torchaudio
2025-11-03T16:26:55.7663573Z Successfully installed torchaudio-2.10.0a0+3b0e7a6
2025-11-03T16:26:55.8107547Z + install_torchvision
2025-11-03T16:26:55.8110225Z + local orig_preload
2025-11-03T16:26:55.8111025Z + local commit
2025-11-03T16:26:55.8111267Z ++ get_pinned_commit vision
2025-11-03T16:26:55.8111505Z ++ cat .github/ci_commit_pins/vision.txt
2025-11-03T16:26:55.8133030Z + commit=cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:26:55.8133362Z + orig_preload=
2025-11-03T16:26:55.8133559Z + '[' -n '' ']'
2025-11-03T16:26:55.8133776Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:26:55.8134259Z + pip_build_and_install git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c dist/vision
2025-11-03T16:26:55.8134895Z + local build_target=git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:26:55.8135297Z + local wheel_dir=dist/vision
2025-11-03T16:26:55.8135505Z + local found_whl=0
2025-11-03T16:26:55.8135693Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:26:55.8136046Z + [[ -f dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl ]]
2025-11-03T16:26:55.8136373Z + found_whl=1
2025-11-03T16:26:55.8136541Z + break
2025-11-03T16:26:55.8136690Z + '[' 1 == 0 ']'
2025-11-03T16:26:55.8136877Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:26:55.8137236Z + pip_install_whl dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:26:55.8137706Z + args=('dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl')
2025-11-03T16:26:55.8138003Z + local args
2025-11-03T16:26:55.8138305Z + [[ dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-11-03T16:26:55.8138652Z + for path in "${args[@]}"
2025-11-03T16:26:55.8139331Z + echo 'Installing dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl'
2025-11-03T16:26:55.8139797Z Installing dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:26:55.8140337Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:26:56.1244813Z Processing ./dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:26:56.1328284Z Installing collected packages: torchvision
2025-11-03T16:26:56.5222681Z Successfully installed torchvision-0.25.0a0+cfbc5c2
2025-11-03T16:26:56.5704358Z + '[' -n '' ']'
2025-11-03T16:26:56.5708887Z + id=0
2025-11-03T16:26:56.5713184Z + pip_install opencv-python==4.8.0.74
2025-11-03T16:26:56.5713543Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-11-03T16:26:56.5713896Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-11-03T16:26:56.9759588Z Collecting opencv-python==4.8.0.74
2025-11-03T16:26:56.9914277Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-11-03T16:26:57.0015755Z 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)
2025-11-03T16:26:57.0116756Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-11-03T16:26:58.2300938Z Installing collected packages: opencv-python
2025-11-03T16:26:58.2301243Z   Attempting uninstall: opencv-python
2025-11-03T16:26:58.2310759Z     Found existing installation: opencv-python 4.11.0.86
2025-11-03T16:26:58.2375444Z     Uninstalling opencv-python-4.11.0.86:
2025-11-03T16:26:58.3187129Z       Successfully uninstalled opencv-python-4.11.0.86
2025-11-03T16:26:59.1916775Z Successfully installed opencv-python-4.8.0.74
2025-11-03T16:26:59.3690265Z + [[ cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-11-03T16:26:59.3695880Z + [[ cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-11-03T16:26:59.3698379Z + [[ cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]]
2025-11-03T16:26:59.3698917Z + [[ cpu_inductor_torchbench != *cpu* ]]
2025-11-03T16:26:59.3699184Z + PYTHONPATH=/torchbench
2025-11-03T16:26:59.3699797Z + test_dynamo_benchmark torchbench 0
2025-11-03T16:26:59.3700144Z ++ pwd
2025-11-03T16:26:59.3700461Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-11-03T16:26:59.3700756Z + local suite=torchbench
2025-11-03T16:26:59.3701069Z + shift
2025-11-03T16:26:59.3701277Z + local shard_id=0
2025-11-03T16:26:59.3701450Z + shift
2025-11-03T16:26:59.3701662Z + [[ cpu_inductor_torchbench == *perf_compare* ]]
2025-11-03T16:26:59.3701915Z + [[ cpu_inductor_torchbench == *perf* ]]
2025-11-03T16:26:59.3702142Z + [[ cpu_inductor_torchbench == *cpu* ]]
2025-11-03T16:26:59.3702361Z + local dt=float32
2025-11-03T16:26:59.3702550Z + [[ cpu_inductor_torchbench == *amp* ]]
2025-11-03T16:26:59.3702797Z + [[ cpu_inductor_torchbench == *freezing* ]]
2025-11-03T16:26:59.3703111Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32
2025-11-03T16:26:59.3703402Z ++ pwd
2025-11-03T16:26:59.3703624Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-11-03T16:26:59.3703945Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-11-03T16:26:59.3723414Z + local name=inference
2025-11-03T16:26:59.3723687Z + shift
2025-11-03T16:26:59.3724280Z + local suite=torchbench
2025-11-03T16:26:59.3724560Z + shift
2025-11-03T16:26:59.3724726Z + local shard_id=0
2025-11-03T16:26:59.3724893Z + shift
2025-11-03T16:26:59.3725057Z + partition_flags=()
2025-11-03T16:26:59.3725248Z + local partition_flags
2025-11-03T16:26:59.3725439Z + [[ -n 2 ]]
2025-11-03T16:26:59.3725594Z + [[ -n 0 ]]
2025-11-03T16:26:59.3725892Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-11-03T16:26:59.3726263Z + [[ cpu_inductor_torchbench == *perf_compare* ]]
2025-11-03T16:26:59.3726871Z + [[ cpu_inductor_torchbench == *perf* ]]
2025-11-03T16:26:59.3727116Z + [[ cpu_inductor_torchbench == *_avx2* ]]
2025-11-03T16:26:59.3727362Z + [[ cpu_inductor_torchbench == *_avx512* ]]
2025-11-03T16:26:59.3728169Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --float32 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv
2025-11-03T16:26:59.6665826Z /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.
2025-11-03T16:26:59.6666724Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:02.2820437Z /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.
2025-11-03T16:27:02.2821904Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:04.5762437Z 
2025-11-03T16:27:06.1115582Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:27:06.1116038Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:27:06.1138459Z cpu  eval  BERT_pytorch                       
2025-11-03T16:27:06.5801711Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:06.8128430Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:07.0442730Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:15.8112668Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8113197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8117651Z     return mod(*inputs)
2025-11-03T16:27:15.8118499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8123259Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8126246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward
2025-11-03T16:27:15.8126720Z     mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1)
2025-11-03T16:27:15.8126913Z 
2025-11-03T16:27:15.8127059Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8127491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8127869Z     return mod(*inputs)
2025-11-03T16:27:15.8128258Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8128694Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8129066Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward
2025-11-03T16:27:15.8129443Z     x = self.embedding(x, segment_info)
2025-11-03T16:27:15.8129855Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward
2025-11-03T16:27:15.8130366Z     x = self.token(sequence) + self.position(sequence) + self.segment(segment_label)
2025-11-03T16:27:15.8130597Z 
2025-11-03T16:27:15.8130725Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8131306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8131655Z     return mod(*inputs)
2025-11-03T16:27:15.8132032Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8132436Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8132965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8133360Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8133753Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8134182Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8134602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8135046Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8135468Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8135904Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8136372Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8136792Z     query, key, value = [
2025-11-03T16:27:15.8137211Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8137706Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8137899Z 
2025-11-03T16:27:15.8138015Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8138399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8138746Z     return mod(*inputs)
2025-11-03T16:27:15.8139231Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8139615Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8139974Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8140340Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8140728Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8141126Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8141528Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8142033Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8142470Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8142900Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8143344Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8143765Z     query, key, value = [
2025-11-03T16:27:15.8144167Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8144665Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8144848Z 
2025-11-03T16:27:15.8144974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8145364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8145725Z     return mod(*inputs)
2025-11-03T16:27:15.8146101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8146490Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8146840Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8147209Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8147601Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8148013Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8148490Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8148924Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8149355Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8149796Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8150253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8150739Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8151191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8151687Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8151923Z 
2025-11-03T16:27:15.8152042Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8152438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8152796Z     return mod(*inputs)
2025-11-03T16:27:15.8153160Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8153569Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8153945Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8154322Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8154713Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8155126Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8155544Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8155985Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8156416Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8156843Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8157297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8158060Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8158535Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8159042Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8159278Z 
2025-11-03T16:27:15.8159397Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8159804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8160171Z     return mod(*inputs)
2025-11-03T16:27:15.8160557Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8160965Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8161342Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8161725Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8162121Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8162534Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8162957Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8163419Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8163854Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8164344Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8164800Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8165276Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8165743Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8166237Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8166491Z 
2025-11-03T16:27:15.8166618Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8167203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8167580Z     return mod(*inputs)
2025-11-03T16:27:15.8167952Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8168365Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8168736Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8169107Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8169499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8169925Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8170343Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8170789Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8171234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8171661Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8172130Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8172533Z     query, key, value = [
2025-11-03T16:27:15.8172937Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8173496Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8173684Z 
2025-11-03T16:27:15.8173801Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8193454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8193976Z     return mod(*inputs)
2025-11-03T16:27:15.8194379Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8194795Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8195169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8195564Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8195963Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8196393Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8196823Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8197287Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8197803Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8198261Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8198731Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8199221Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8199918Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8200360Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8200535Z 
2025-11-03T16:27:15.8200662Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8201080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8201448Z     return mod(*inputs)
2025-11-03T16:27:15.8201819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8202227Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8202602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8202987Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8203383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8203793Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8204214Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8204662Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8205092Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8205535Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8205986Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8206466Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8206927Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8207365Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8207517Z 
2025-11-03T16:27:15.8207638Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8208029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8208381Z     return mod(*inputs)
2025-11-03T16:27:15.8208739Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8209198Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8209555Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8209925Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8210308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8210710Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8211116Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8211557Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8211956Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8212360Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8212789Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8213239Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8213445Z 
2025-11-03T16:27:15.8213553Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8213920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8214258Z     return mod(*inputs)
2025-11-03T16:27:15.8214600Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8214996Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8215345Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8215692Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8216053Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8216427Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8216811Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8217221Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8217618Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8218018Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8218432Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8218823Z     return self.output_linear(x)
2025-11-03T16:27:15.8218959Z 
2025-11-03T16:27:15.8219067Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8219434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8219768Z     return mod(*inputs)
2025-11-03T16:27:15.8220099Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8220469Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8220817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8221182Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8221550Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8221948Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8222354Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8222780Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8223215Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8223695Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8223884Z 
2025-11-03T16:27:15.8223998Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8224381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8224727Z     return mod(*inputs)
2025-11-03T16:27:15.8225087Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8225468Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8225826Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8226194Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8226568Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8226963Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8227364Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8227788Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8228222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8228670Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8228850Z 
2025-11-03T16:27:15.8228964Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8229387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8229733Z     return mod(*inputs)
2025-11-03T16:27:15.8230092Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8230474Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8230829Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8231191Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8231566Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8231960Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8232355Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8232778Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8233212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8233657Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8233835Z 
2025-11-03T16:27:15.8233960Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8234335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8234680Z     return mod(*inputs)
2025-11-03T16:27:15.8235041Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8235430Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8235781Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8236145Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8236525Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8236924Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8237329Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8237833Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8238342Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8238783Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8239246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8239672Z     query, key, value = [
2025-11-03T16:27:15.8240065Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8240528Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8240714Z 
2025-11-03T16:27:15.8240836Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8241235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8241654Z     return mod(*inputs)
2025-11-03T16:27:15.8242038Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8242451Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8242828Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8243208Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8243600Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8244028Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8244447Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8244948Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8245380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8245828Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8246302Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8246717Z     query, key, value = [
2025-11-03T16:27:15.8247138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8247615Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8247798Z 
2025-11-03T16:27:15.8247929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8248331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8248691Z     return mod(*inputs)
2025-11-03T16:27:15.8249067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8249439Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8249780Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8250127Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8250490Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8250873Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8251258Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8251662Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8252055Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8252472Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8252897Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8253347Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8253826Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8254281Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8254499Z 
2025-11-03T16:27:15.8254607Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8254970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8255298Z     return mod(*inputs)
2025-11-03T16:27:15.8255636Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8256002Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8256340Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8256691Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8257054Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8257432Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8257817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8258217Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8258614Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8259013Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8259467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8259907Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8260334Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8260791Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8261002Z 
2025-11-03T16:27:15.8261121Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8261479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8261804Z     return mod(*inputs)
2025-11-03T16:27:15.8262145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8262513Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8262846Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8263247Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8263626Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8264043Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8264420Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8264819Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8265218Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8265612Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8266033Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8266478Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8267152Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8267651Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8267958Z 
2025-11-03T16:27:15.8268081Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8268464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8268825Z     return mod(*inputs)
2025-11-03T16:27:15.8269210Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8269621Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8270004Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8270393Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8270790Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8271202Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8271636Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8272094Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8272532Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8272978Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8273444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8273868Z     query, key, value = [
2025-11-03T16:27:15.8274273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8274799Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8274990Z 
2025-11-03T16:27:15.8275109Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8275507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8275858Z     return mod(*inputs)
2025-11-03T16:27:15.8276219Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8276604Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8276962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8277331Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8277762Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8278194Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8278619Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8279064Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8279500Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8279934Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8280380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8280851Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8281306Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8281736Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8281893Z 
2025-11-03T16:27:15.8282016Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8282398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8282750Z     return mod(*inputs)
2025-11-03T16:27:15.8283114Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8283551Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8283900Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8284265Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8284645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8285047Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8285453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8285873Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8286292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8286706Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8287148Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8287605Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8288057Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8288466Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8288622Z 
2025-11-03T16:27:15.8288741Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8289121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8289456Z     return mod(*inputs)
2025-11-03T16:27:15.8289885Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8290276Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8290635Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8291010Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8291385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8291786Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8292188Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8292617Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8293032Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8293455Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8293880Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8294329Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8294527Z 
2025-11-03T16:27:15.8294641Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8294995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8295331Z     return mod(*inputs)
2025-11-03T16:27:15.8295677Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8296045Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8296391Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8296734Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8297100Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8297485Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8297872Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8298318Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8298707Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8299102Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8299516Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8299903Z     return self.output_linear(x)
2025-11-03T16:27:15.8300030Z 
2025-11-03T16:27:15.8300136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8300497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8300822Z     return mod(*inputs)
2025-11-03T16:27:15.8301160Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8301527Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8301852Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8302195Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8302550Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8302925Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8303297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8303694Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8304140Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8304558Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8304729Z 
2025-11-03T16:27:15.8304840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8305198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8305525Z     return mod(*inputs)
2025-11-03T16:27:15.8305860Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8306224Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8306548Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8306888Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8307236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8307610Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8307987Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8308364Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8308763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8309172Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8309337Z 
2025-11-03T16:27:15.8309446Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8309796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8310105Z     return mod(*inputs)
2025-11-03T16:27:15.8310431Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8310789Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8311118Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8311456Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8311807Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8312226Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8312604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8313000Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8313400Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8313817Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8313992Z 
2025-11-03T16:27:15.8314099Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8314460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8314787Z     return mod(*inputs)
2025-11-03T16:27:15.8315117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8315494Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8315831Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8316173Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8316522Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8316894Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8317271Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8317788Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8317979Z 
2025-11-03T16:27:15.8318107Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8318494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8318855Z     return mod(*inputs)
2025-11-03T16:27:15.8319223Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8319614Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8319953Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8320295Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8320654Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8321033Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8321418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8321811Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8322200Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8322599Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8323017Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8323394Z     query, key, value = [
2025-11-03T16:27:15.8323759Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8324192Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8324364Z 
2025-11-03T16:27:15.8324469Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8324829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8325157Z     return mod(*inputs)
2025-11-03T16:27:15.8325484Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8325849Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8326234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8326574Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8326920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8327295Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8327672Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8328070Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8328456Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8328842Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8329255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8329632Z     query, key, value = [
2025-11-03T16:27:15.8330005Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8330421Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8330591Z 
2025-11-03T16:27:15.8330698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8331054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8331377Z     return mod(*inputs)
2025-11-03T16:27:15.8331752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8332111Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8332452Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8332795Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8333156Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8333534Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8333909Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8334310Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8334708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8335173Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8335606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8336051Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8336469Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8336926Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8337145Z 
2025-11-03T16:27:15.8337252Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8337611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8337940Z     return mod(*inputs)
2025-11-03T16:27:15.8338273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8338640Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8338982Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8339327Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8339686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8340097Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8340482Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8340870Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8341248Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8341625Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8342029Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8342457Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8342870Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8343307Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8343508Z 
2025-11-03T16:27:15.8343613Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8343972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8344283Z     return mod(*inputs)
2025-11-03T16:27:15.8344613Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8344971Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8345289Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8345620Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8346021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8346386Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8346747Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8347134Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8347513Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8347900Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8348305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8348725Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8349134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8349590Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8349794Z 
2025-11-03T16:27:15.8349912Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8350276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8350595Z     return mod(*inputs)
2025-11-03T16:27:15.8350930Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8351292Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8351628Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8351966Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8352320Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8352695Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8353073Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8353475Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8353857Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8354301Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8354732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8355136Z     query, key, value = [
2025-11-03T16:27:15.8355530Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8355983Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8356167Z 
2025-11-03T16:27:15.8356279Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8356662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8357010Z     return mod(*inputs)
2025-11-03T16:27:15.8357360Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8357841Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8358208Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8358577Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8358953Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8359351Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8359758Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8360228Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8360645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8361064Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8361501Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8361974Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8362419Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8362830Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8362980Z 
2025-11-03T16:27:15.8363089Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8363469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8363814Z     return mod(*inputs)
2025-11-03T16:27:15.8364179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8364569Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8364920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8365290Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8365669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8366069Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8366467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8367043Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8367469Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8367892Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8368331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8368786Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8369330Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8369740Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8369891Z 
2025-11-03T16:27:15.8370011Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8370396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8370739Z     return mod(*inputs)
2025-11-03T16:27:15.8371101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8371494Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8371855Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8372213Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8372597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8372978Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8373358Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8373760Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8374144Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8374539Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8374954Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8375458Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8375650Z 
2025-11-03T16:27:15.8375765Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8376117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8376447Z     return mod(*inputs)
2025-11-03T16:27:15.8376787Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8377152Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8377479Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8377825Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8378179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8378628Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8379012Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8379405Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8379798Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8380197Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8380608Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8380990Z     return self.output_linear(x)
2025-11-03T16:27:15.8381115Z 
2025-11-03T16:27:15.8381219Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8381577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8381900Z     return mod(*inputs)
2025-11-03T16:27:15.8382237Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8382595Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8382927Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8383325Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8383680Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8384054Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8384422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8384819Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8385225Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8385646Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8385817Z 
2025-11-03T16:27:15.8385930Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8386279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8386610Z     return mod(*inputs)
2025-11-03T16:27:15.8386948Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8387320Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8387643Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8388030Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8388436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8388815Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8389246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8389640Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8390046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8390464Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8390632Z 
2025-11-03T16:27:15.8390747Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8391102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8391415Z     return mod(*inputs)
2025-11-03T16:27:15.8391752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8392116Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8392450Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8392784Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8393138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8393508Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8393888Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8394281Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8394678Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8395092Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8395264Z 
2025-11-03T16:27:15.8395368Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8395735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8396070Z     return mod(*inputs)
2025-11-03T16:27:15.8396425Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8396806Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8397161Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8397588Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8398038Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8398458Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8398875Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8399297Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8399709Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8400136Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8400583Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8400992Z     query, key, value = [
2025-11-03T16:27:15.8401392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8401842Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8402030Z 
2025-11-03T16:27:15.8402145Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8402528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8402874Z     return mod(*inputs)
2025-11-03T16:27:15.8403234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8403618Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8404018Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8404390Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8404783Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8405178Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8405586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8406023Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8406451Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8406873Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8407306Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8407710Z     query, key, value = [
2025-11-03T16:27:15.8408103Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8408812Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8408999Z 
2025-11-03T16:27:15.8409176Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8409635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8410002Z     return mod(*inputs)
2025-11-03T16:27:15.8410363Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8410750Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8411108Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8411478Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8412113Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8412529Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8412939Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8413424Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8413845Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8414257Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8414705Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8415176Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8415637Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8416131Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8416354Z 
2025-11-03T16:27:15.8416469Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8416870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8417225Z     return mod(*inputs)
2025-11-03T16:27:15.8417588Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8417980Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8418311Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8418676Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8419055Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8419492Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8419886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8420308Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8420725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8421208Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8421758Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8422230Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8422687Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8423170Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8423387Z 
2025-11-03T16:27:15.8423507Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8423886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8424223Z     return mod(*inputs)
2025-11-03T16:27:15.8424567Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8424960Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8425318Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8425691Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8426081Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8426501Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8426923Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8427367Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8427784Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8428248Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8428672Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8429116Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8429928Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8430378Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8430597Z 
2025-11-03T16:27:15.8430754Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8431191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8431545Z     return mod(*inputs)
2025-11-03T16:27:15.8431908Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8432300Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8432658Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8433028Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8433413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8433810Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8434218Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8434656Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8435185Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8435619Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8436048Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8436452Z     query, key, value = [
2025-11-03T16:27:15.8436844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8437307Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8437483Z 
2025-11-03T16:27:15.8437607Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8438058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8438416Z     return mod(*inputs)
2025-11-03T16:27:15.8438791Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8439189Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8439557Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8439932Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8440314Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8440717Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8441115Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8441532Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8441949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8442374Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8442826Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8443286Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8443745Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8444226Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8444383Z 
2025-11-03T16:27:15.8444506Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8444892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8445244Z     return mod(*inputs)
2025-11-03T16:27:15.8445620Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8446015Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8446379Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8446744Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8447111Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8447523Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8447936Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8448364Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8448781Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8449215Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8449654Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8450169Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8450626Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8451028Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8451190Z 
2025-11-03T16:27:15.8451305Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8451689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8452042Z     return mod(*inputs)
2025-11-03T16:27:15.8452399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8452782Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8453134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8453514Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8453903Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8454298Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8454703Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8455107Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8455499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8455896Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8456305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8456749Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8456945Z 
2025-11-03T16:27:15.8457051Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8457413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8457744Z     return mod(*inputs)
2025-11-03T16:27:15.8458081Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8458515Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8458856Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8459223Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8459593Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8459999Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8460405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8460838Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8461266Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8461679Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8462129Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8462548Z     return self.output_linear(x)
2025-11-03T16:27:15.8462683Z 
2025-11-03T16:27:15.8462806Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8463184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8463533Z     return mod(*inputs)
2025-11-03T16:27:15.8463891Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8464282Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8464640Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8465046Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8465436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8465831Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8466242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8466673Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8467245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8467707Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8467897Z 
2025-11-03T16:27:15.8468010Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8468397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8468752Z     return mod(*inputs)
2025-11-03T16:27:15.8469125Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8469532Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8469901Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8470274Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8470644Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8471044Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8471491Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8471912Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8472340Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8472783Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8472970Z 
2025-11-03T16:27:15.8473083Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8473466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8473918Z     return mod(*inputs)
2025-11-03T16:27:15.8474279Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8474660Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8475023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8475396Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8475778Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8476170Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8476577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8477001Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8477429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8477933Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8478126Z 
2025-11-03T16:27:15.8478242Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8478634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8478989Z     return mod(*inputs)
2025-11-03T16:27:15.8479355Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8479753Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8480172Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8480538Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8480909Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8481315Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8481708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8482135Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8482314Z 
2025-11-03T16:27:15.8482426Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8482808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8483147Z     return mod(*inputs)
2025-11-03T16:27:15.8483503Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8483901Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8484255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8484615Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8485062Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8485467Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8485871Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8486299Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8486716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8487129Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8487579Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8487981Z     query, key, value = [
2025-11-03T16:27:15.8488376Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8488890Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8489067Z 
2025-11-03T16:27:15.8489183Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8489573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8489919Z     return mod(*inputs)
2025-11-03T16:27:15.8490270Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8490628Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8490962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8491307Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8491664Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8492039Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8492414Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8492818Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8493206Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8493602Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8494022Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8494394Z     query, key, value = [
2025-11-03T16:27:15.8494807Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8495234Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8495396Z 
2025-11-03T16:27:15.8495508Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8495861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8496186Z     return mod(*inputs)
2025-11-03T16:27:15.8496518Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8496886Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8497222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8497560Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8497913Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8498292Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8498671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8499058Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8499453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8499850Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8500266Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8500698Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8501121Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8501572Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8501792Z 
2025-11-03T16:27:15.8501901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8502264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8502592Z     return mod(*inputs)
2025-11-03T16:27:15.8502971Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8503344Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8503688Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8504034Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8504384Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8504759Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8505142Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8505546Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8505934Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8506323Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8506745Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8507181Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8507606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8508054Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8508259Z 
2025-11-03T16:27:15.8508363Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8508786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8509113Z     return mod(*inputs)
2025-11-03T16:27:15.8509454Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8509825Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8510153Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8510498Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8510854Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8511230Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8511604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8512005Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8512399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8512796Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8513210Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8513643Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8514087Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8514557Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8514771Z 
2025-11-03T16:27:15.8514892Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8515279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8515610Z     return mod(*inputs)
2025-11-03T16:27:15.8515967Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8516353Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8516704Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8517107Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8517481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8517983Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8518405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8518856Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8519281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8519713Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8520159Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8520562Z     query, key, value = [
2025-11-03T16:27:15.8520964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8521421Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8521606Z 
2025-11-03T16:27:15.8521719Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8522105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8522454Z     return mod(*inputs)
2025-11-03T16:27:15.8522806Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8523200Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8523603Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8523966Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8524340Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8524733Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8525134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8525556Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8525966Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8526373Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8526817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8527280Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8527734Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8528144Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8528299Z 
2025-11-03T16:27:15.8528413Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8528793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8529138Z     return mod(*inputs)
2025-11-03T16:27:15.8529497Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8529887Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8530232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8530593Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8530970Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8531366Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8531757Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8532228Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8532641Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8533060Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8533499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8533957Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8534408Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8534824Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8534977Z 
2025-11-03T16:27:15.8535097Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8535480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8535820Z     return mod(*inputs)
2025-11-03T16:27:15.8536176Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8536562Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8536914Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8537272Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8537650Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8538052Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8538493Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8538923Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8539327Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8539749Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8540192Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8540662Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8540865Z 
2025-11-03T16:27:15.8540985Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8541358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8541714Z     return mod(*inputs)
2025-11-03T16:27:15.8542073Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8542466Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8542811Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8543179Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8543541Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8543922Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8544304Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8544698Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8545091Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8545489Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8545907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8546293Z     return self.output_linear(x)
2025-11-03T16:27:15.8546419Z 
2025-11-03T16:27:15.8546525Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8546929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8547319Z     return mod(*inputs)
2025-11-03T16:27:15.8547652Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8548006Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8548340Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8548682Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8549040Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8549412Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8549783Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8550183Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8550591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8551007Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8551178Z 
2025-11-03T16:27:15.8551291Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8551642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8551968Z     return mod(*inputs)
2025-11-03T16:27:15.8552303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8552701Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8553025Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8553366Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8553724Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8554099Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8554476Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8554868Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8555276Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8555692Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8555861Z 
2025-11-03T16:27:15.8555977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8556322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8556654Z     return mod(*inputs)
2025-11-03T16:27:15.8557006Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8557392Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8557832Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8558211Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8558603Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8559015Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8559437Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8559860Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8560310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8560770Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8561001Z 
2025-11-03T16:27:15.8561127Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8561522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8561878Z     return mod(*inputs)
2025-11-03T16:27:15.8562251Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8562654Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8563021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8563402Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8563782Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8564192Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8564618Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8565065Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8565509Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8565958Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8566413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8566867Z     query, key, value = [
2025-11-03T16:27:15.8567455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8568026Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8568214Z 
2025-11-03T16:27:15.8568330Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8568719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8569093Z     return mod(*inputs)
2025-11-03T16:27:15.8569461Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8569857Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8570230Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8570617Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8571008Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8571367Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8571739Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8572123Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8572500Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8572885Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8573281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8573656Z     query, key, value = [
2025-11-03T16:27:15.8574025Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8574449Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8574608Z 
2025-11-03T16:27:15.8574721Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8575072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8575394Z     return mod(*inputs)
2025-11-03T16:27:15.8575730Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8576163Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8576496Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8576834Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8577183Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8577550Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8577919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8578304Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8578682Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8579069Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8579476Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8579899Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8580316Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8580758Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8580966Z 
2025-11-03T16:27:15.8581071Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8581424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8581735Z     return mod(*inputs)
2025-11-03T16:27:15.8582103Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8582459Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8582783Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8583121Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8583459Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8583822Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8584187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8584574Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8584943Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8585331Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8585732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8586159Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8586574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8586998Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8587203Z 
2025-11-03T16:27:15.8587306Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8587661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8587978Z     return mod(*inputs)
2025-11-03T16:27:15.8588305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8588651Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8588978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8589317Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8589668Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8590078Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8590459Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8590868Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8591249Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8591634Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8592041Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8592480Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8592928Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8593405Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8593624Z 
2025-11-03T16:27:15.8593744Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8594120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8594468Z     return mod(*inputs)
2025-11-03T16:27:15.8594820Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8595202Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8595548Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8595947Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8596327Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8596729Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8597131Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8597554Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8598046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8598479Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8598938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8599362Z     query, key, value = [
2025-11-03T16:27:15.8599757Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8600219Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8600403Z 
2025-11-03T16:27:15.8600515Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8600901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8601243Z     return mod(*inputs)
2025-11-03T16:27:15.8601601Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8601989Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8602339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8602702Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8603068Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8603467Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8603869Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8604291Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8604752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8605160Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8605599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8606055Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8606498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8606902Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8607068Z 
2025-11-03T16:27:15.8607176Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8607537Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8607867Z     return mod(*inputs)
2025-11-03T16:27:15.8608208Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8608568Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8608904Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8609249Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8609602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8609976Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8610349Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8610800Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8611194Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8611589Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8612005Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8612456Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8612886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8613276Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8613417Z 
2025-11-03T16:27:15.8613530Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8613886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8614213Z     return mod(*inputs)
2025-11-03T16:27:15.8614550Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8614916Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8615257Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8615597Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8615957Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8616336Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8616716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8617112Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8617504Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8617895Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8618310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8618816Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8619006Z 
2025-11-03T16:27:15.8619111Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8619473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8619800Z     return mod(*inputs)
2025-11-03T16:27:15.8620137Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8620505Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8620832Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8621178Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8621549Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8621926Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8622299Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8622697Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8623089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8623480Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8623894Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8624271Z     return self.output_linear(x)
2025-11-03T16:27:15.8624406Z 
2025-11-03T16:27:15.8625619Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8626021Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8626366Z     return mod(*inputs)
2025-11-03T16:27:15.8626710Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8627083Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8627436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8627798Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8628175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8628565Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8628965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8629389Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8629818Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8630262Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8630443Z 
2025-11-03T16:27:15.8630553Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8630932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8631276Z     return mod(*inputs)
2025-11-03T16:27:15.8631625Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8632000Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8632351Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8632713Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8633094Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8633486Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8633875Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8634342Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8634775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8635215Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8635395Z 
2025-11-03T16:27:15.8635512Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8635882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8636224Z     return mod(*inputs)
2025-11-03T16:27:15.8636585Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8636972Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8637317Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8637765Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8638171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8638585Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8639003Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8639434Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8639886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8640348Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8640571Z 
2025-11-03T16:27:15.8640691Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8641064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8641409Z     return mod(*inputs)
2025-11-03T16:27:15.8641767Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8642159Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8642519Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8642879Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8643256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8643653Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8644057Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8644481Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8644654Z 
2025-11-03T16:27:15.8644767Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8645154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8645499Z     return mod(*inputs)
2025-11-03T16:27:15.8645854Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8646234Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8646591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8646954Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8647330Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8647730Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8648123Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8648547Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8648992Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8649415Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8649848Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8650249Z     query, key, value = [
2025-11-03T16:27:15.8650643Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8651096Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8651268Z 
2025-11-03T16:27:15.8651388Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8651760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8652173Z     return mod(*inputs)
2025-11-03T16:27:15.8652531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8652916Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8653268Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8653621Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8653994Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8654386Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8654775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8655201Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8655591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8655988Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8656404Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8656773Z     query, key, value = [
2025-11-03T16:27:15.8657134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8657554Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8657721Z 
2025-11-03T16:27:15.8657825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8658185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8658512Z     return mod(*inputs)
2025-11-03T16:27:15.8658845Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8659211Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8659545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8659894Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8660240Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8660625Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8661026Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8661449Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8661861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8662276Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8662718Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8663181Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8663673Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8664151Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8664371Z 
2025-11-03T16:27:15.8664485Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8664873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8665219Z     return mod(*inputs)
2025-11-03T16:27:15.8665574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8665957Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8666308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8666652Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8667228Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8667622Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8667998Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8668400Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8668788Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8669182Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8669730Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8670170Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8670591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8671042Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8671246Z 
2025-11-03T16:27:15.8671362Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8671732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8672081Z     return mod(*inputs)
2025-11-03T16:27:15.8672440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8672827Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8673181Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8673543Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8673918Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8674310Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8674708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8675118Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8675529Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8675945Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8676383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8676838Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8677281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8677913Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8678148Z 
2025-11-03T16:27:15.8678347Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8678745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8679102Z     return mod(*inputs)
2025-11-03T16:27:15.8679470Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8679857Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8680209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8680573Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8680944Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8681346Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8681746Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8682175Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8682590Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8682996Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8683432Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8683827Z     query, key, value = [
2025-11-03T16:27:15.8684236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8684687Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8684896Z 
2025-11-03T16:27:15.8685009Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8685393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8685740Z     return mod(*inputs)
2025-11-03T16:27:15.8686103Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8686483Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8686837Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8687203Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8687586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8687983Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8688378Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8688801Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8689213Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8689631Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8690075Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8690529Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8690975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8691386Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8691539Z 
2025-11-03T16:27:15.8691656Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8692038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8692373Z     return mod(*inputs)
2025-11-03T16:27:15.8692729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8693116Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8693508Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8693861Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8694234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8694629Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8695024Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8695444Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8695852Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8696272Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8696717Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8697178Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8697617Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8698026Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8698182Z 
2025-11-03T16:27:15.8698294Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8698677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8699025Z     return mod(*inputs)
2025-11-03T16:27:15.8699412Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8699799Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8700155Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8700522Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8700888Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8701280Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8701675Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8702095Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8702505Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8702910Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8703351Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8703814Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8704015Z 
2025-11-03T16:27:15.8704136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8704523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8704861Z     return mod(*inputs)
2025-11-03T16:27:15.8705215Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8705597Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8705949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8706311Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8706679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8707077Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8707474Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8707934Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8708334Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8708747Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8709185Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8709589Z     return self.output_linear(x)
2025-11-03T16:27:15.8709721Z 
2025-11-03T16:27:15.8709841Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8710220Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8710566Z     return mod(*inputs)
2025-11-03T16:27:15.8710918Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8711297Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8711641Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8712001Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8712374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8712766Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8713165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8713577Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8714042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8714486Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8714665Z 
2025-11-03T16:27:15.8714787Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8715166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8715505Z     return mod(*inputs)
2025-11-03T16:27:15.8715861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8716247Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8716599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8716954Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8717329Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8717801Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8718223Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8718660Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8719105Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8719555Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8719744Z 
2025-11-03T16:27:15.8719856Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8720239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8720589Z     return mod(*inputs)
2025-11-03T16:27:15.8720946Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8721347Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8721714Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8722087Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8722467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8722918Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8723328Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8723771Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8724212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8724657Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8724850Z 
2025-11-03T16:27:15.8724965Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8725358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8725724Z     return mod(*inputs)
2025-11-03T16:27:15.8726079Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8726474Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8726836Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8727208Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8727591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8727985Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8728397Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8728824Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8729296Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8729740Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8730199Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8730619Z     query, key, value = [
2025-11-03T16:27:15.8731023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8731487Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8731665Z 
2025-11-03T16:27:15.8731779Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8732174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8732541Z     return mod(*inputs)
2025-11-03T16:27:15.8732905Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8733296Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8733639Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8733998Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8734375Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8734769Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8735158Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8735578Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8735994Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8736408Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8736852Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8737242Z     query, key, value = [
2025-11-03T16:27:15.8737630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8738124Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8738297Z 
2025-11-03T16:27:15.8738415Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8738797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8739134Z     return mod(*inputs)
2025-11-03T16:27:15.8739493Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8739876Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8740227Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8740583Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8740959Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8741063Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8741310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8741426Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8741667Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8741783Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8742049Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8742187Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8742476Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8742640Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8742647Z 
2025-11-03T16:27:15.8742761Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8742979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8743047Z     return mod(*inputs)
2025-11-03T16:27:15.8743297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8743373Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8743591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8743678Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8743916Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8744019Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8744260Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8744384Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8744620Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8744735Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8745007Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8745140Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8745398Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8745557Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8745561Z 
2025-11-03T16:27:15.8745671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8745892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8745995Z     return mod(*inputs)
2025-11-03T16:27:15.8746242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8746319Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8746536Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8746622Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8746857Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8746957Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8747199Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8747318Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8747550Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8747666Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8747932Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8748064Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8748319Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8748474Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8748477Z 
2025-11-03T16:27:15.8748628Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8748842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8748910Z     return mod(*inputs)
2025-11-03T16:27:15.8749157Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8749236Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8749463Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8749541Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8749777Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8749879Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8750124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8750245Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8750479Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8750593Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8750868Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8750941Z     query, key, value = [
2025-11-03T16:27:15.8751222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8751340Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8751345Z 
2025-11-03T16:27:15.8751464Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8751674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8751744Z     return mod(*inputs)
2025-11-03T16:27:15.8751995Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8752072Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8752296Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8752414Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8752646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8752748Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8752989Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8753110Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8753347Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8753477Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8753749Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8753883Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8754138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8754234Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8754238Z 
2025-11-03T16:27:15.8754356Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8754564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8754633Z     return mod(*inputs)
2025-11-03T16:27:15.8754881Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8754990Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8755214Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8755293Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8755525Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8755631Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8755870Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8755989Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8756218Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8756332Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8756601Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8756732Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8756987Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8757085Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8757089Z 
2025-11-03T16:27:15.8757206Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8757414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8757485Z     return mod(*inputs)
2025-11-03T16:27:15.8757824Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8757911Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8758143Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8758231Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8758472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8758580Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8758828Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8759007Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8759241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8759362Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8759626Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8759773Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8759778Z 
2025-11-03T16:27:15.8759902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8760116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8760195Z     return mod(*inputs)
2025-11-03T16:27:15.8760442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8760522Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8760752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8760833Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8761078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8761174Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8761422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8761594Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8761836Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8761961Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8762231Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8762319Z     return self.output_linear(x)
2025-11-03T16:27:15.8762323Z 
2025-11-03T16:27:15.8762435Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8762647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8762726Z     return mod(*inputs)
2025-11-03T16:27:15.8762973Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8763057Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8763284Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8763364Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8763611Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8763710Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8763969Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8764084Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8764347Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8764484Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8764488Z 
2025-11-03T16:27:15.8764599Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8764824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8764894Z     return mod(*inputs)
2025-11-03T16:27:15.8765152Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8765271Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8765496Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8765586Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8765826Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8765930Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8766178Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8766296Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8766568Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8766695Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8766699Z 
2025-11-03T16:27:15.8766819Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8767214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8767300Z     return mod(*inputs)
2025-11-03T16:27:15.8767553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8767632Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8767868Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8767952Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8768298Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8768399Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8768645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8768770Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8769032Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8769164Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8769169Z 
2025-11-03T16:27:15.8769281Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8769511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8769581Z     return mod(*inputs)
2025-11-03T16:27:15.8769826Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8769916Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8770139Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8770227Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8770467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8770567Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8770823Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8770940Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8770943Z 
2025-11-03T16:27:15.8771064Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8771276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8771346Z     return mod(*inputs)
2025-11-03T16:27:15.8771606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8771686Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8771917Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8772051Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8772292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8772396Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8772655Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8772773Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8773004Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8773129Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8773392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8773466Z     query, key, value = [
2025-11-03T16:27:15.8773748Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8773869Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8773873Z 
2025-11-03T16:27:15.8773991Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8774199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8774267Z     return mod(*inputs)
2025-11-03T16:27:15.8774516Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8774592Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8774849Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8774929Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8775171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8775267Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8775509Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8775627Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8775862Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8775983Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8776245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8776316Z     query, key, value = [
2025-11-03T16:27:15.8776599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8776713Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8776717Z 
2025-11-03T16:27:15.8776837Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8777045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8777113Z     return mod(*inputs)
2025-11-03T16:27:15.8777361Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8777435Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8777656Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8777734Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8777975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8778068Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8778310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8778461Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8778693Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8778815Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8779083Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8779221Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8779485Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8779653Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8779657Z 
2025-11-03T16:27:15.8779777Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8779987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8780068Z     return mod(*inputs)
2025-11-03T16:27:15.8780315Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8780393Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8780627Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8780707Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8780956Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8781054Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8781336Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8781463Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8781706Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8781838Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8782109Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8782247Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8782509Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8782671Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8782675Z 
2025-11-03T16:27:15.8782799Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8783013Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8783090Z     return mod(*inputs)
2025-11-03T16:27:15.8783341Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8783423Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8783656Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8783735Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8783985Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8784079Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8784329Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8784456Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8784697Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8784823Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8785138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8785280Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8785535Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8785697Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8785701Z 
2025-11-03T16:27:15.8785820Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8786033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8786114Z     return mod(*inputs)
2025-11-03T16:27:15.8786371Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8786446Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8786674Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8786751Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8786991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8787086Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8787327Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8787447Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8787714Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8787839Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8788097Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8788181Z     query, key, value = [
2025-11-03T16:27:15.8788452Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8788568Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8788572Z 
2025-11-03T16:27:15.8788691Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8788902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8788978Z     return mod(*inputs)
2025-11-03T16:27:15.8789216Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8789294Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8789516Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8789595Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8789834Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8789929Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8790178Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8790290Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8790521Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8790642Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8790902Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8791041Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8791290Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8791429Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8791433Z 
2025-11-03T16:27:15.8791548Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8791758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8791834Z     return mod(*inputs)
2025-11-03T16:27:15.8792075Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8792151Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8792373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8792452Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8792691Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8792784Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8793040Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8793154Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8793392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8793516Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8793795Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8793934Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8794213Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8794308Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8794319Z 
2025-11-03T16:27:15.8794429Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8794642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8794718Z     return mod(*inputs)
2025-11-03T16:27:15.8794957Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8795041Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8795256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8795333Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8795572Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8795668Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8795919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8796032Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8796268Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8796392Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8796653Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8796805Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8796809Z 
2025-11-03T16:27:15.8796920Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8797134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8797204Z     return mod(*inputs)
2025-11-03T16:27:15.8797446Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8797533Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8797872Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8797968Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8798211Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8798307Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8798568Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8798687Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8798942Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8799059Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8799330Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8799434Z     return self.output_linear(x)
2025-11-03T16:27:15.8799438Z 
2025-11-03T16:27:15.8799552Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8799770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8799840Z     return mod(*inputs)
2025-11-03T16:27:15.8800085Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8800171Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8800390Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8800478Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8800754Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8800859Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8801101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8801214Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8801475Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8801594Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8801598Z 
2025-11-03T16:27:15.8801714Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8801923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8801991Z     return mod(*inputs)
2025-11-03T16:27:15.8802243Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8802318Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8802542Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8802622Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8802865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8802958Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8803198Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8803318Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8803572Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8803702Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8803706Z 
2025-11-03T16:27:15.8803814Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8804022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8804138Z     return mod(*inputs)
2025-11-03T16:27:15.8804380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8804464Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8804681Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8804759Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8805004Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8805097Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8805352Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8805469Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8805715Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8805830Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8805833Z 
2025-11-03T16:27:15.8805936Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8806140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8806204Z     return mod(*inputs)
2025-11-03T16:27:15.8806438Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8806508Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8806713Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8806824Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8807047Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8807141Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8807373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8807476Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8807705Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8807812Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8808063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8808133Z     query, key, value = [
2025-11-03T16:27:15.8808396Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8808505Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8808508Z 
2025-11-03T16:27:15.8808609Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8808817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8808880Z     return mod(*inputs)
2025-11-03T16:27:15.8809115Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8809184Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8809388Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8809471Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8809692Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8809792Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8810021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8810132Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8810426Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8810537Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8810795Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8810868Z     query, key, value = [
2025-11-03T16:27:15.8811133Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8811243Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8811247Z 
2025-11-03T16:27:15.8811355Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8811565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8811633Z     return mod(*inputs)
2025-11-03T16:27:15.8811872Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8811949Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8812163Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8812248Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8812471Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8812571Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8812804Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8813015Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8813242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8813352Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8813608Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8813735Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8813979Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8814131Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8814135Z 
2025-11-03T16:27:15.8814239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8814446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8814511Z     return mod(*inputs)
2025-11-03T16:27:15.8814765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8814837Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8815055Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8815130Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8815351Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8815446Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8815673Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8815786Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8816009Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8816117Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8816370Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8816532Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8816775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8816923Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8816927Z 
2025-11-03T16:27:15.8817038Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8817238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8817303Z     return mod(*inputs)
2025-11-03T16:27:15.8817544Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8817616Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8817833Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8817915Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8818138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8818234Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8818465Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8818581Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8818806Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8818914Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8819209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8819336Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8819582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8819734Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8819737Z 
2025-11-03T16:27:15.8819847Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8820051Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8820115Z     return mod(*inputs)
2025-11-03T16:27:15.8820352Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8820423Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8820641Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8820725Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8820938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8821036Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8821261Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8821372Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8821593Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8821698Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8821954Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8822022Z     query, key, value = [
2025-11-03T16:27:15.8822286Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8822396Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8822432Z 
2025-11-03T16:27:15.8822544Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8822748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8822811Z     return mod(*inputs)
2025-11-03T16:27:15.8823042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8823112Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8823322Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8823394Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8823611Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8823704Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8823926Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8824041Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8824259Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8824372Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8824614Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8824736Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8824970Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8825094Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8825097Z 
2025-11-03T16:27:15.8825206Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8825399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8825464Z     return mod(*inputs)
2025-11-03T16:27:15.8825692Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8825761Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8825972Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8826045Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8826259Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8826354Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8826579Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8826691Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8826906Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8827024Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8827283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8827407Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8827649Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8827738Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8827742Z 
2025-11-03T16:27:15.8827853Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8828060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8828124Z     return mod(*inputs)
2025-11-03T16:27:15.8828353Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8828458Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8828663Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8828736Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8828959Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8829046Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8829267Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8829378Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8829594Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8829706Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8829945Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8830078Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8830081Z 
2025-11-03T16:27:15.8830189Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8830381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8830451Z     return mod(*inputs)
2025-11-03T16:27:15.8830673Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8830743Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8830986Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8831060Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8831282Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8831371Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8831600Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8831704Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8831919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8832032Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8832272Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8832353Z     return self.output_linear(x)
2025-11-03T16:27:15.8832357Z 
2025-11-03T16:27:15.8832457Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8832649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8832724Z     return mod(*inputs)
2025-11-03T16:27:15.8832948Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8833031Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8833236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8833311Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8833541Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8833629Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8833867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8833972Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8834216Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8834364Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8834368Z 
2025-11-03T16:27:15.8834472Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8834676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8834741Z     return mod(*inputs)
2025-11-03T16:27:15.8834975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8835046Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8835249Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8835333Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8835553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8835648Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8835876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8835987Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8836227Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8836341Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8836344Z 
2025-11-03T16:27:15.8836454Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8836650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8836753Z     return mod(*inputs)
2025-11-03T16:27:15.8836979Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8837049Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8837256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8837336Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8837561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8837648Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8837954Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8838073Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8838323Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8838454Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8838459Z 
2025-11-03T16:27:15.8838572Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8838795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8838870Z     return mod(*inputs)
2025-11-03T16:27:15.8839120Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8839209Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8839432Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8839518Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8839771Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8839867Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8840121Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8840232Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8840236Z 
2025-11-03T16:27:15.8840397Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8840603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8840681Z     return mod(*inputs)
2025-11-03T16:27:15.8840920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8840995Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8841222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8841301Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8841545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8841639Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8841883Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8842005Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8842241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8842365Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8842630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8842703Z     query, key, value = [
2025-11-03T16:27:15.8842984Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8843141Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8843145Z 
2025-11-03T16:27:15.8843265Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8843471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8843547Z     return mod(*inputs)
2025-11-03T16:27:15.8843790Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8843866Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8844090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8844169Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8844410Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8844502Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8844745Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8844866Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8845098Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8845223Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8845483Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8845554Z     query, key, value = [
2025-11-03T16:27:15.8845840Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8845954Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8845958Z 
2025-11-03T16:27:15.8846076Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8846290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8846368Z     return mod(*inputs)
2025-11-03T16:27:15.8846606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8846678Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8846929Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8847006Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8847236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8847326Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8847556Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8847675Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8847901Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8848021Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8848270Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8848405Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8848649Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8848801Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8848805Z 
2025-11-03T16:27:15.8848920Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8849120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8849192Z     return mod(*inputs)
2025-11-03T16:27:15.8849452Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8849524Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8849738Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8849814Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8850039Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8850127Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8850354Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8850469Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8850686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8850801Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8851047Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8851180Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8851414Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8851566Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8851569Z 
2025-11-03T16:27:15.8851680Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8851876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8851946Z     return mod(*inputs)
2025-11-03T16:27:15.8852173Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8852245Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8852457Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8852531Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8852757Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8852875Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8853108Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8853213Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8853432Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8853546Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8853791Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8853927Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8854160Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8854307Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8854313Z 
2025-11-03T16:27:15.8854424Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8854618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8854689Z     return mod(*inputs)
2025-11-03T16:27:15.8854914Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8854993Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8855196Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8855270Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8855538Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8855628Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8855864Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8855972Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8856191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8856306Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8856551Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8856628Z     query, key, value = [
2025-11-03T16:27:15.8856889Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8856999Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8857011Z 
2025-11-03T16:27:15.8857116Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8857312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8857386Z     return mod(*inputs)
2025-11-03T16:27:15.8857614Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8857691Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8857895Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8857980Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8858202Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8858287Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8858515Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8858618Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8858830Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8858981Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8859223Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8859355Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8859589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8859678Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8859690Z 
2025-11-03T16:27:15.8859796Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8859990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8860062Z     return mod(*inputs)
2025-11-03T16:27:15.8860288Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8860372Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8860575Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8860650Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8860878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8860968Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8861232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8861370Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8861587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8861704Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8861953Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8862088Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8862331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8862424Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8862428Z 
2025-11-03T16:27:15.8862528Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8862724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8862797Z     return mod(*inputs)
2025-11-03T16:27:15.8863027Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8863103Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8863312Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8863388Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8863616Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8863704Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8863939Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8864044Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8864263Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8864381Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8864627Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8864769Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8864806Z 
2025-11-03T16:27:15.8864911Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8865116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8865180Z     return mod(*inputs)
2025-11-03T16:27:15.8865408Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8865486Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8865693Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8865774Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8865996Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8866083Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8866320Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8866429Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8866656Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8866763Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8867156Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8867244Z     return self.output_linear(x)
2025-11-03T16:27:15.8867248Z 
2025-11-03T16:27:15.8867351Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8867643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8867711Z     return mod(*inputs)
2025-11-03T16:27:15.8867946Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8868022Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8868227Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8868308Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8868529Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8868625Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8868854Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8868961Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8869212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8869330Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8869334Z 
2025-11-03T16:27:15.8869449Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8869649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8869723Z     return mod(*inputs)
2025-11-03T16:27:15.8869953Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8870026Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8870242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8870319Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8870552Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8870642Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8870869Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8871065Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8871308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8871430Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8871434Z 
2025-11-03T16:27:15.8871535Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8871730Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8871804Z     return mod(*inputs)
2025-11-03T16:27:15.8872034Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8872114Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8872318Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8872412Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8872637Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8872726Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8872966Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8873073Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8873319Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8873432Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8873436Z 
2025-11-03T16:27:15.8873569Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8873774Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8873839Z     return mod(*inputs)
2025-11-03T16:27:15.8874072Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8874147Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8874350Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8874431Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8874652Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8874748Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8874977Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8875092Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8875312Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8875422Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8875679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8875747Z     query, key, value = [
2025-11-03T16:27:15.8876011Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8876124Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8876128Z 
2025-11-03T16:27:15.8876236Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8876447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8876518Z     return mod(*inputs)
2025-11-03T16:27:15.8876766Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8876840Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8877063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8877186Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8877418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8877521Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8877835Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8877964Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8878203Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8878325Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8878603Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8878677Z     query, key, value = [
2025-11-03T16:27:15.8878975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8879089Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8879093Z 
2025-11-03T16:27:15.8879207Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8879416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8879483Z     return mod(*inputs)
2025-11-03T16:27:15.8879729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8879804Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8880067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8880150Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8880387Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8880492Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8880735Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8880858Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8881093Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8881208Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8881480Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8881620Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8881878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8882040Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8882046Z 
2025-11-03T16:27:15.8882164Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8882375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8882444Z     return mod(*inputs)
2025-11-03T16:27:15.8882694Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8882768Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8882995Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8883076Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8883310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8883414Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8883691Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8883811Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8884046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8884160Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8884429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8884561Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8884819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8884977Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8884980Z 
2025-11-03T16:27:15.8885100Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8885310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8885379Z     return mod(*inputs)
2025-11-03T16:27:15.8885628Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8885704Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8885928Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8886009Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8886287Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8886391Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8886633Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8886756Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8886992Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8887113Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8887373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8887505Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8887762Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-11-03T16:27:15.8887924Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-11-03T16:27:15.8887928Z 
2025-11-03T16:27:15.8888045Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8888256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8888327Z     return mod(*inputs)
2025-11-03T16:27:15.8888575Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8888650Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8888875Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8888954Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8889185Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8889285Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8889527Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8889647Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8889881Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8890030Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8890272Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-11-03T16:27:15.8890340Z     query, key, value = [
2025-11-03T16:27:15.8890601Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-11-03T16:27:15.8890708Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-11-03T16:27:15.8890711Z 
2025-11-03T16:27:15.8890821Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8891018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8891083Z     return mod(*inputs)
2025-11-03T16:27:15.8891318Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8891393Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8891603Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8891678Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8891907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8891995Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8892220Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8892332Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8892583Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8892700Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8892947Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8893073Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8893317Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8893405Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8893409Z 
2025-11-03T16:27:15.8893518Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8893718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8893790Z     return mod(*inputs)
2025-11-03T16:27:15.8894020Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8894092Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8894301Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8894376Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8894605Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8894692Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8894919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8895031Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8895254Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8895364Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8895604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-11-03T16:27:15.8895726Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-11-03T16:27:15.8895967Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-11-03T16:27:15.8896087Z     return torch.matmul(p_attn, value), p_attn
2025-11-03T16:27:15.8896091Z 
2025-11-03T16:27:15.8896204Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8896394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8896467Z     return mod(*inputs)
2025-11-03T16:27:15.8896691Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8896763Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8896972Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8897043Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8897266Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8897356Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8897579Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8897691Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8897905Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8898019Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8898257Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-11-03T16:27:15.8898417Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-11-03T16:27:15.8898429Z 
2025-11-03T16:27:15.8898533Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8898725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8898801Z     return mod(*inputs)
2025-11-03T16:27:15.8899021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8899099Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8899299Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8899373Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8899594Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-11-03T16:27:15.8899680Z     x = self.input_sublayer(x, self.lambda_module)
2025-11-03T16:27:15.8899914Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8900018Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8900231Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-11-03T16:27:15.8900345Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-11-03T16:27:15.8900585Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-11-03T16:27:15.8900668Z     return self.output_linear(x)
2025-11-03T16:27:15.8900672Z 
2025-11-03T16:27:15.8900772Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8900970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8901035Z     return mod(*inputs)
2025-11-03T16:27:15.8901283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8901360Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8901559Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8901640Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8901902Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8901989Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8902221Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8902327Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8902576Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8902691Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8902695Z 
2025-11-03T16:27:15.8902800Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8903005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8903070Z     return mod(*inputs)
2025-11-03T16:27:15.8903307Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8903381Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8903597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8903672Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8903894Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8903991Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8904231Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8904375Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8904610Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8904722Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8904728Z 
2025-11-03T16:27:15.8904840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8905033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8905104Z     return mod(*inputs)
2025-11-03T16:27:15.8905327Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8905397Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8905609Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8905680Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8905907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8905993Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8906226Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8906332Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8906565Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-11-03T16:27:15.8906682Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-11-03T16:27:15.8906686Z 
2025-11-03T16:27:15.8906788Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8906987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8907048Z     return mod(*inputs)
2025-11-03T16:27:15.8907272Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-11-03T16:27:15.8907350Z     x = self.bert(x, segment_label)
2025-11-03T16:27:15.8907555Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-11-03T16:27:15.8907690Z     x = transformer.forward(x, mask)
2025-11-03T16:27:15.8907906Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-11-03T16:27:15.8907991Z     x = self.output_sublayer(x, self.feed_forward)
2025-11-03T16:27:15.8908220Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-11-03T16:27:15.8908323Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-11-03T16:27:15.8908326Z 
2025-11-03T16:27:15.8908435Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8908630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8908699Z     return mod(*inputs)
2025-11-03T16:27:15.8908924Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-11-03T16:27:15.8909014Z     return self.next_sentence(x), self.mask_lm(x)
2025-11-03T16:27:15.8909250Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward
2025-11-03T16:27:15.8909334Z     return self.softmax(self.linear(x[:, 0]))
2025-11-03T16:27:15.8909338Z 
2025-11-03T16:27:15.8909444Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:15.8909634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:15.8909697Z     return mod(*inputs)
2025-11-03T16:27:15.8909928Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-11-03T16:27:15.8910017Z     return self.next_sentence(x), self.mask_lm(x)
2025-11-03T16:27:15.8910292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward
2025-11-03T16:27:15.8910371Z     return self.softmax(self.linear(x))
2025-11-03T16:27:15.8910375Z 
2025-11-03T16:27:35.3054968Z Compilation time (from dynamo_timed): 27.559313066
2025-11-03T16:27:35.3109544Z pass
2025-11-03T16:27:35.3112313Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:35.3113124Z TIMING: _recursive_pre_grad_passes:0.00998 _recursive_joint_graph_passes:0.71691 _recursive_post_grad_passes:0.13826 async_compile.wait:0.75482 code_gen:19.43365 inductor_compile:21.02271 backend_compile:24.52172 gc:0.00133 entire_frame_compile:27.55931 total_wall_time:27.55931
2025-11-03T16:27:35.3114048Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5252 | FakeTensorMode.__torch_dispatch__:9591 | ProxyTorchDispatchMode.__torch_dispatch__:2752
2025-11-03T16:27:35.3114579Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique)
2025-11-03T16:27:37.2808348Z /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.
2025-11-03T16:27:37.2809290Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:39.5103541Z 
2025-11-03T16:27:41.8979706Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:27:41.8981324Z loading model: 0it [00:02, ?it/s]
2025-11-03T16:27:41.8993159Z cpu  eval  Background_Matting                 
2025-11-03T16:27:41.9186810Z Compilation time (from dynamo_timed): 0
2025-11-03T16:27:41.9187096Z pass_due_to_skip
2025-11-03T16:27:41.9187392Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:41.9187727Z TIMING: total_wall_time:0
2025-11-03T16:27:41.9187921Z STATS: call_* op count: 0
2025-11-03T16:27:41.9188225Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-11-03T16:27:43.1942844Z /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.
2025-11-03T16:27:43.1944899Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:45.3725057Z 
2025-11-03T16:27:47.0907680Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:27:47.0907996Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:27:47.0912890Z cpu  eval  LearningToPaint                    
2025-11-03T16:27:47.1888257Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:47.2161916Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:47.2392582Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:51.0755461Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0756423Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0761409Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0761738Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0762004Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0762226Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0762448Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0762662Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0762882Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0763099Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0763317Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0763527Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0763743Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0764402Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0764634Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0764846Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0765068Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0765288Z cudagraph partition due to non gpu ops
2025-11-03T16:27:51.0765566Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0765985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0766365Z     return mod(*inputs)
2025-11-03T16:27:51.0766731Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-11-03T16:27:51.0767479Z     x = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0767633Z 
2025-11-03T16:27:51.0767761Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0768155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0768520Z     return mod(*inputs)
2025-11-03T16:27:51.0768881Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-11-03T16:27:51.0769270Z     x = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0769414Z 
2025-11-03T16:27:51.0769527Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0769928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0770281Z     return mod(*inputs)
2025-11-03T16:27:51.0770635Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:27:51.0771010Z     x = self.layer1(x)
2025-11-03T16:27:51.0771347Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0771726Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0771875Z 
2025-11-03T16:27:51.0771997Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0772388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0772730Z     return mod(*inputs)
2025-11-03T16:27:51.0773077Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:27:51.0773567Z     x = self.layer1(x)
2025-11-03T16:27:51.0773910Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0774290Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0774436Z 
2025-11-03T16:27:51.0774547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0774924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0775265Z     return mod(*inputs)
2025-11-03T16:27:51.0775605Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:27:51.0775961Z     x = self.layer1(x)
2025-11-03T16:27:51.0776302Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:27:51.0776678Z     out = self.bn2(self.conv2(out))
2025-11-03T16:27:51.0776815Z 
2025-11-03T16:27:51.0776933Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0777309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0777640Z     return mod(*inputs)
2025-11-03T16:27:51.0777978Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:27:51.0778339Z     x = self.layer1(x)
2025-11-03T16:27:51.0778668Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-11-03T16:27:51.0779023Z     out += self.shortcut(x)
2025-11-03T16:27:51.0779154Z 
2025-11-03T16:27:51.0779263Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0779780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0780140Z     return mod(*inputs)
2025-11-03T16:27:51.0780479Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:27:51.0780839Z     x = self.layer1(x)
2025-11-03T16:27:51.0781173Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0781543Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0781685Z 
2025-11-03T16:27:51.0781799Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0782166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0782507Z     return mod(*inputs)
2025-11-03T16:27:51.0782845Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:27:51.0783209Z     x = self.layer1(x)
2025-11-03T16:27:51.0783537Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0783908Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0784055Z 
2025-11-03T16:27:51.0784219Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0784590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0784934Z     return mod(*inputs)
2025-11-03T16:27:51.0785268Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:27:51.0785630Z     x = self.layer1(x)
2025-11-03T16:27:51.0785954Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:27:51.0786322Z     out = self.bn2(self.conv2(out))
2025-11-03T16:27:51.0786466Z 
2025-11-03T16:27:51.0786576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0786963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0787304Z     return mod(*inputs)
2025-11-03T16:27:51.0787632Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-11-03T16:27:51.0787992Z     x = self.layer1(x)
2025-11-03T16:27:51.0788383Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-11-03T16:27:51.0788748Z     out = F.relu(out)
2025-11-03T16:27:51.0788855Z 
2025-11-03T16:27:51.0788962Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0789344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0789685Z     return mod(*inputs)
2025-11-03T16:27:51.0790026Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:27:51.0790393Z     x = self.layer2(x)
2025-11-03T16:27:51.0790722Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0791099Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0791248Z 
2025-11-03T16:27:51.0791355Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0791728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0792068Z     return mod(*inputs)
2025-11-03T16:27:51.0792406Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:27:51.0792768Z     x = self.layer2(x)
2025-11-03T16:27:51.0793107Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0793477Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0793617Z 
2025-11-03T16:27:51.0793726Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0794100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0795324Z     return mod(*inputs)
2025-11-03T16:27:51.0795672Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:27:51.0796026Z     x = self.layer2(x)
2025-11-03T16:27:51.0796361Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:27:51.0796737Z     out = self.bn2(self.conv2(out))
2025-11-03T16:27:51.0796872Z 
2025-11-03T16:27:51.0796990Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0797369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0797937Z     return mod(*inputs)
2025-11-03T16:27:51.0798324Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:27:51.0798713Z     x = self.layer2(x)
2025-11-03T16:27:51.0799065Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-11-03T16:27:51.0799450Z     out += self.shortcut(x)
2025-11-03T16:27:51.0799582Z 
2025-11-03T16:27:51.0799691Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0800069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0800418Z     return mod(*inputs)
2025-11-03T16:27:51.0800761Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:27:51.0801114Z     x = self.layer2(x)
2025-11-03T16:27:51.0801447Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0801817Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0801956Z 
2025-11-03T16:27:51.0802072Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0802438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0802783Z     return mod(*inputs)
2025-11-03T16:27:51.0803124Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:27:51.0803487Z     x = self.layer2(x)
2025-11-03T16:27:51.0803821Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0804243Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0804391Z 
2025-11-03T16:27:51.0804499Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0804873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0805215Z     return mod(*inputs)
2025-11-03T16:27:51.0805545Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:27:51.0805911Z     x = self.layer2(x)
2025-11-03T16:27:51.0806246Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:27:51.0806623Z     out = self.bn2(self.conv2(out))
2025-11-03T16:27:51.0806759Z 
2025-11-03T16:27:51.0806876Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0807244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0807593Z     return mod(*inputs)
2025-11-03T16:27:51.0807930Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-11-03T16:27:51.0808289Z     x = self.layer2(x)
2025-11-03T16:27:51.0808617Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-11-03T16:27:51.0808977Z     out = F.relu(out)
2025-11-03T16:27:51.0809090Z 
2025-11-03T16:27:51.0809198Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0809578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0809920Z     return mod(*inputs)
2025-11-03T16:27:51.0810284Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:27:51.0810650Z     x = self.layer3(x)
2025-11-03T16:27:51.0810981Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0811361Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0811504Z 
2025-11-03T16:27:51.0811611Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0811985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0812323Z     return mod(*inputs)
2025-11-03T16:27:51.0812660Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:27:51.0813019Z     x = self.layer3(x)
2025-11-03T16:27:51.0813343Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0813714Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0813863Z 
2025-11-03T16:27:51.0813971Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0814350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0814693Z     return mod(*inputs)
2025-11-03T16:27:51.0815032Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:27:51.0815396Z     x = self.layer3(x)
2025-11-03T16:27:51.0815734Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:27:51.0816106Z     out = self.bn2(self.conv2(out))
2025-11-03T16:27:51.0816244Z 
2025-11-03T16:27:51.0816354Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0816739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0817058Z     return mod(*inputs)
2025-11-03T16:27:51.0817396Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:27:51.0817758Z     x = self.layer3(x)
2025-11-03T16:27:51.0818105Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-11-03T16:27:51.0818549Z     out += self.shortcut(x)
2025-11-03T16:27:51.0818671Z 
2025-11-03T16:27:51.0818789Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0819202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0819541Z     return mod(*inputs)
2025-11-03T16:27:51.0819882Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:27:51.0820236Z     x = self.layer3(x)
2025-11-03T16:27:51.0820572Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0820938Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0821092Z 
2025-11-03T16:27:51.0821202Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0821581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0821925Z     return mod(*inputs)
2025-11-03T16:27:51.0822272Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:27:51.0822611Z     x = self.layer3(x)
2025-11-03T16:27:51.0822930Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0823289Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0823422Z 
2025-11-03T16:27:51.0823531Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0823884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0824214Z     return mod(*inputs)
2025-11-03T16:27:51.0824575Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:27:51.0824921Z     x = self.layer3(x)
2025-11-03T16:27:51.0825241Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:27:51.0825584Z     out = self.bn2(self.conv2(out))
2025-11-03T16:27:51.0825724Z 
2025-11-03T16:27:51.0825828Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0826186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0826506Z     return mod(*inputs)
2025-11-03T16:27:51.0826828Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-11-03T16:27:51.0827196Z     x = self.layer3(x)
2025-11-03T16:27:51.0827536Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-11-03T16:27:51.0827900Z     out = F.relu(out)
2025-11-03T16:27:51.0828006Z 
2025-11-03T16:27:51.0828121Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0828485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0828812Z     return mod(*inputs)
2025-11-03T16:27:51.0829157Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:27:51.0829527Z     x = self.layer4(x)
2025-11-03T16:27:51.0829857Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0830232Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0830380Z 
2025-11-03T16:27:51.0830489Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0830866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0831204Z     return mod(*inputs)
2025-11-03T16:27:51.0831542Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:27:51.0831906Z     x = self.layer4(x)
2025-11-03T16:27:51.0832242Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0832617Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0832799Z 
2025-11-03T16:27:51.0832910Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0833286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0833626Z     return mod(*inputs)
2025-11-03T16:27:51.0833967Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:27:51.0834332Z     x = self.layer4(x)
2025-11-03T16:27:51.0834660Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:27:51.0835036Z     out = self.bn2(self.conv2(out))
2025-11-03T16:27:51.0835171Z 
2025-11-03T16:27:51.0835293Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0835672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0836009Z     return mod(*inputs)
2025-11-03T16:27:51.0836353Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:27:51.0836714Z     x = self.layer4(x)
2025-11-03T16:27:51.0837043Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-11-03T16:27:51.0837403Z     out += self.shortcut(x)
2025-11-03T16:27:51.0837534Z 
2025-11-03T16:27:51.0837646Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0838185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0838543Z     return mod(*inputs)
2025-11-03T16:27:51.0838898Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:27:51.0839326Z     x = self.layer4(x)
2025-11-03T16:27:51.0839670Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0840051Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0840196Z 
2025-11-03T16:27:51.0840319Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0840699Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0841033Z     return mod(*inputs)
2025-11-03T16:27:51.0841370Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:27:51.0841735Z     x = self.layer4(x)
2025-11-03T16:27:51.0842072Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-11-03T16:27:51.0842449Z     out = F.relu(self.bn1(self.conv1(x)))
2025-11-03T16:27:51.0842602Z 
2025-11-03T16:27:51.0842714Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0843096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0843446Z     return mod(*inputs)
2025-11-03T16:27:51.0843778Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:27:51.0844151Z     x = self.layer4(x)
2025-11-03T16:27:51.0844491Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-11-03T16:27:51.0844861Z     out = self.bn2(self.conv2(out))
2025-11-03T16:27:51.0845000Z 
2025-11-03T16:27:51.0845117Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0845491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0845833Z     return mod(*inputs)
2025-11-03T16:27:51.0846176Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-11-03T16:27:51.0846543Z     x = self.layer4(x)
2025-11-03T16:27:51.0846875Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-11-03T16:27:51.0847236Z     out = F.relu(out)
2025-11-03T16:27:51.0847348Z 
2025-11-03T16:27:51.0847455Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0847885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0848230Z     return mod(*inputs)
2025-11-03T16:27:51.0848563Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward
2025-11-03T16:27:51.0848932Z     x = F.avg_pool2d(x, 4)
2025-11-03T16:27:51.0849063Z 
2025-11-03T16:27:51.0849169Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0849546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0849881Z     return mod(*inputs)
2025-11-03T16:27:51.0850228Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward
2025-11-03T16:27:51.0850593Z     x = self.fc(x)
2025-11-03T16:27:51.0850695Z 
2025-11-03T16:27:51.0850812Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:51.0851193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:51.0851532Z     return mod(*inputs)
2025-11-03T16:27:51.0851875Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward
2025-11-03T16:27:51.0852245Z     x = torch.sigmoid(x)
2025-11-03T16:27:51.0852363Z 
2025-11-03T16:28:01.3727375Z Compilation time (from dynamo_timed): 13.659515328
2025-11-03T16:28:01.3727902Z pass
2025-11-03T16:28:01.3728335Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:01.3729575Z TIMING: _recursive_pre_grad_passes:0.00522 _recursive_joint_graph_passes:0.39009 _recursive_post_grad_passes:0.04051 async_compile.wait:0.86579 code_gen:10.06712 inductor_compile:10.6926 backend_compile:12.41266 gc:0.00157 entire_frame_compile:13.65952 total_wall_time:13.65952
2025-11-03T16:28:01.3730530Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:2828 | FakeTensor.__torch_dispatch__:2118 | ProxyTorchDispatchMode.__torch_dispatch__:1128
2025-11-03T16:28:01.3731044Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-11-03T16:28:03.3392912Z /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.
2025-11-03T16:28:03.3393805Z   import pynvml  # type: ignore[import]
2025-11-03T16:28:05.5495466Z 
2025-11-03T16:28:06.3537903Z 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
2025-11-03T16:28:06.3764787Z 
2025-11-03T16:28:06.3766648Z 
2025-11-03T16:28:06.4768660Z   0% 0.00/528M [00:00<?, ?B/s]
2025-11-03T16:28:06.4773900Z 
2025-11-03T16:28:06.5860295Z   3% 16.5M/528M [00:00<00:03, 173MB/s]
2025-11-03T16:28:06.5860557Z 
2025-11-03T16:28:06.6865828Z   6% 33.0M/528M [00:00<00:03, 164MB/s]
2025-11-03T16:28:06.6870890Z 
2025-11-03T16:28:06.7869170Z  15% 77.1M/528M [00:00<00:01, 296MB/s]
2025-11-03T16:28:06.7869392Z 
2025-11-03T16:28:06.8871666Z  25% 134M/528M [00:00<00:00, 414MB/s] 
2025-11-03T16:28:06.8871885Z 
2025-11-03T16:28:06.9869408Z  36% 190M/528M [00:00<00:00, 476MB/s]
2025-11-03T16:28:06.9869636Z 
2025-11-03T16:28:07.0879749Z  46% 242M/528M [00:00<00:00, 497MB/s]
2025-11-03T16:28:07.0879962Z 
2025-11-03T16:28:07.1952766Z  55% 290M/528M [00:00<00:00, 498MB/s]
2025-11-03T16:28:07.1953211Z 
2025-11-03T16:28:07.3280575Z  64% 338M/528M [00:00<00:00, 487MB/s]
2025-11-03T16:28:07.3280955Z 
2025-11-03T16:28:07.4290053Z  73% 384M/528M [00:00<00:00, 443MB/s]
2025-11-03T16:28:07.4294312Z 
2025-11-03T16:28:07.5283550Z  83% 436M/528M [00:01<00:00, 472MB/s]
2025-11-03T16:28:07.5283786Z 
2025-11-03T16:28:07.5908531Z  93% 493M/528M [00:01<00:00, 508MB/s]
2025-11-03T16:28:07.5908846Z 100% 528M/528M [00:01<00:00, 456MB/s]
2025-11-03T16:28:09.2125201Z 
2025-11-03T16:28:09.2125706Z loading model: 0it [00:03, ?it/s]
2025-11-03T16:28:09.2126140Z cpu  eval  Super_SloMo                        
2025-11-03T16:28:34.7853682Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:36.3431752Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:37.8202609Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:47.6302269Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6306840Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6311193Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6312953Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6313230Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6313589Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6313938Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6314265Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6314586Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6314892Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6315210Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6315537Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6315911Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6316279Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6319132Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6319457Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6319699Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6320396Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6320636Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6320857Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6321082Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6321297Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6321532Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6321758Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6322003Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6322222Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6322438Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6322649Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6322871Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6323101Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6323318Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6323540Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6323771Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6323990Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6324208Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6324419Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6324636Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6324858Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6325078Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6325402Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6325618Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6325832Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6326044Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6326274Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6326548Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6326764Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6338003Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6338322Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6338563Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6338789Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6339057Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6339472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6340097Z     return mod(*inputs)
2025-11-03T16:28:47.6340435Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6340826Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6341001Z 
2025-11-03T16:28:47.6341104Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6341367Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6341786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6342143Z     return mod(*inputs)
2025-11-03T16:28:47.6342472Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6342848Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6343225Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-11-03T16:28:47.6343604Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6343769Z 
2025-11-03T16:28:47.6343901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6344312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6344671Z     return mod(*inputs)
2025-11-03T16:28:47.6344989Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6345497Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6345881Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-11-03T16:28:47.6346307Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6346483Z 
2025-11-03T16:28:47.6346599Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6347009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6347389Z     return mod(*inputs)
2025-11-03T16:28:47.6347705Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6348077Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6348448Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-11-03T16:28:47.6348831Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6349001Z 
2025-11-03T16:28:47.6349126Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6349519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6349896Z     return mod(*inputs)
2025-11-03T16:28:47.6350210Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6350584Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6350951Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:28:47.6351283Z     s2 = self.down1(s1)
2025-11-03T16:28:47.6351594Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:28:47.6352051Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:28:47.6352182Z 
2025-11-03T16:28:47.6352305Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6352694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6353044Z     return mod(*inputs)
2025-11-03T16:28:47.6353358Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6353734Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6354100Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:28:47.6354426Z     s2 = self.down1(s1)
2025-11-03T16:28:47.6354737Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6355150Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6355313Z 
2025-11-03T16:28:47.6355436Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6355834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6356171Z     return mod(*inputs)
2025-11-03T16:28:47.6356478Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6356850Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6357229Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:28:47.6357546Z     s2 = self.down1(s1)
2025-11-03T16:28:47.6357986Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6358347Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6358516Z 
2025-11-03T16:28:47.6358641Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6359036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6359382Z     return mod(*inputs)
2025-11-03T16:28:47.6359694Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6360068Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6360440Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:28:47.6360756Z     s2 = self.down1(s1)
2025-11-03T16:28:47.6361105Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6361464Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6361622Z 
2025-11-03T16:28:47.6361740Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6362121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6362452Z     return mod(*inputs)
2025-11-03T16:28:47.6362748Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6363106Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6363454Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:28:47.6363773Z     s3 = self.down2(s2)
2025-11-03T16:28:47.6364071Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:28:47.6364403Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:28:47.6364526Z 
2025-11-03T16:28:47.6364649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6365022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6365366Z     return mod(*inputs)
2025-11-03T16:28:47.6365670Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6366026Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6366378Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:28:47.6366698Z     s3 = self.down2(s2)
2025-11-03T16:28:47.6367249Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6367667Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6367826Z 
2025-11-03T16:28:47.6367945Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6368323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6368668Z     return mod(*inputs)
2025-11-03T16:28:47.6368974Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6369334Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6369781Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:28:47.6370101Z     s3 = self.down2(s2)
2025-11-03T16:28:47.6370401Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6370760Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6370921Z 
2025-11-03T16:28:47.6371045Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6371421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6371776Z     return mod(*inputs)
2025-11-03T16:28:47.6372091Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6372456Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6372818Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:28:47.6373139Z     s3 = self.down2(s2)
2025-11-03T16:28:47.6373443Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6373797Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6373955Z 
2025-11-03T16:28:47.6374074Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6374445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6374793Z     return mod(*inputs)
2025-11-03T16:28:47.6375102Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6375520Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6375880Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:28:47.6376199Z     s4 = self.down3(s3)
2025-11-03T16:28:47.6376497Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:28:47.6376832Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:28:47.6376955Z 
2025-11-03T16:28:47.6377071Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6377447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6377790Z     return mod(*inputs)
2025-11-03T16:28:47.6378095Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6378464Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6378823Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:28:47.6379149Z     s4 = self.down3(s3)
2025-11-03T16:28:47.6379449Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6379797Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6379972Z 
2025-11-03T16:28:47.6380086Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6380470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6380818Z     return mod(*inputs)
2025-11-03T16:28:47.6381131Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6381466Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6381800Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:28:47.6382111Z     s4 = self.down3(s3)
2025-11-03T16:28:47.6382390Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6382720Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6382876Z 
2025-11-03T16:28:47.6382981Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6383344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6383728Z     return mod(*inputs)
2025-11-03T16:28:47.6384011Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6384353Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6384706Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:28:47.6385029Z     s4 = self.down3(s3)
2025-11-03T16:28:47.6385320Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6385664Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6385826Z 
2025-11-03T16:28:47.6385938Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6386308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6386648Z     return mod(*inputs)
2025-11-03T16:28:47.6386951Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6387281Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6387612Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:28:47.6387917Z     s5 = self.down4(s4)
2025-11-03T16:28:47.6388192Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:28:47.6388491Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:28:47.6388609Z 
2025-11-03T16:28:47.6388711Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6389065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6389422Z     return mod(*inputs)
2025-11-03T16:28:47.6389712Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6390049Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6390390Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:28:47.6390698Z     s5 = self.down4(s4)
2025-11-03T16:28:47.6390977Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6391312Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6391471Z 
2025-11-03T16:28:47.6391576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6391938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6392262Z     return mod(*inputs)
2025-11-03T16:28:47.6392548Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6392887Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6393222Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:28:47.6393528Z     s5 = self.down4(s4)
2025-11-03T16:28:47.6393814Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6394143Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6394300Z 
2025-11-03T16:28:47.6394402Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6394764Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6395089Z     return mod(*inputs)
2025-11-03T16:28:47.6395375Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6395708Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6396050Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:28:47.6396361Z     s5 = self.down4(s4)
2025-11-03T16:28:47.6396641Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6397878Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6398053Z 
2025-11-03T16:28:47.6398168Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6398572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6398918Z     return mod(*inputs)
2025-11-03T16:28:47.6399221Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6399573Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6399926Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:28:47.6400235Z     x = self.down5(s5)
2025-11-03T16:28:47.6400545Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:28:47.6400866Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:28:47.6400990Z 
2025-11-03T16:28:47.6401098Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6401483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6401825Z     return mod(*inputs)
2025-11-03T16:28:47.6402114Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6402475Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6402831Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:28:47.6403158Z     x = self.down5(s5)
2025-11-03T16:28:47.6403457Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6403853Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6404019Z 
2025-11-03T16:28:47.6404130Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6404516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6404865Z     return mod(*inputs)
2025-11-03T16:28:47.6405163Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6405517Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6405872Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:28:47.6406200Z     x = self.down5(s5)
2025-11-03T16:28:47.6406503Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6406855Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6407021Z 
2025-11-03T16:28:47.6407134Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6407514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6407858Z     return mod(*inputs)
2025-11-03T16:28:47.6408151Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6408508Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6408847Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:28:47.6409152Z     x = self.down5(s5)
2025-11-03T16:28:47.6409433Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6409754Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6409911Z 
2025-11-03T16:28:47.6410015Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6410375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6410692Z     return mod(*inputs)
2025-11-03T16:28:47.6410969Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6411308Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6411642Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:28:47.6411991Z     x = self.up1(x, s5)
2025-11-03T16:28:47.6412276Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6412597Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6412753Z 
2025-11-03T16:28:47.6412856Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6413212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6413531Z     return mod(*inputs)
2025-11-03T16:28:47.6413805Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6414148Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6414486Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:28:47.6414796Z     x = self.up1(x, s5)
2025-11-03T16:28:47.6415076Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6415404Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6415560Z 
2025-11-03T16:28:47.6415663Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6416027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6416346Z     return mod(*inputs)
2025-11-03T16:28:47.6416620Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6416961Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6417324Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:28:47.6417631Z     s5 = self.down4(s4)
2025-11-03T16:28:47.6417909Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6418233Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6418396Z 
2025-11-03T16:28:47.6418500Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6418862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6419188Z     return mod(*inputs)
2025-11-03T16:28:47.6419468Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6419815Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6420153Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:28:47.6420461Z     x = self.up1(x, s5)
2025-11-03T16:28:47.6420745Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6421124Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6421336Z 
2025-11-03T16:28:47.6421419Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6421667Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6422029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6422356Z     return mod(*inputs)
2025-11-03T16:28:47.6422636Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6422967Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6423300Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:28:47.6423605Z     x = self.up1(x, s5)
2025-11-03T16:28:47.6423883Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6424264Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6424465Z 
2025-11-03T16:28:47.6424570Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6424935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6425293Z     return mod(*inputs)
2025-11-03T16:28:47.6425581Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6425917Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6426250Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:28:47.6426552Z     x = self.up2(x, s4)
2025-11-03T16:28:47.6426823Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6427152Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6427306Z 
2025-11-03T16:28:47.6427410Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6427767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6428081Z     return mod(*inputs)
2025-11-03T16:28:47.6428371Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6428710Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6429040Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:28:47.6429338Z     x = self.up2(x, s4)
2025-11-03T16:28:47.6429607Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6429943Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6430098Z 
2025-11-03T16:28:47.6430202Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6430609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6430931Z     return mod(*inputs)
2025-11-03T16:28:47.6431215Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6431552Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6431886Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:28:47.6432191Z     s4 = self.down3(s3)
2025-11-03T16:28:47.6432461Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6432798Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6432954Z 
2025-11-03T16:28:47.6433057Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6433417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6433736Z     return mod(*inputs)
2025-11-03T16:28:47.6434025Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6434367Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6434703Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:28:47.6435016Z     x = self.up2(x, s4)
2025-11-03T16:28:47.6435289Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6435671Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6435885Z 
2025-11-03T16:28:47.6435974Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6436235Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6436609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6436956Z     return mod(*inputs)
2025-11-03T16:28:47.6437260Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6437695Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6438072Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:28:47.6438391Z     x = self.up2(x, s4)
2025-11-03T16:28:47.6438760Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6439178Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6439384Z 
2025-11-03T16:28:47.6439503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6439888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6440202Z     return mod(*inputs)
2025-11-03T16:28:47.6440489Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6440842Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6441213Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:28:47.6441535Z     x = self.up3(x, s3)
2025-11-03T16:28:47.6441842Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6442208Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6442372Z 
2025-11-03T16:28:47.6442491Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6442898Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6443250Z     return mod(*inputs)
2025-11-03T16:28:47.6443561Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6443933Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6444296Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:28:47.6444691Z     x = self.up3(x, s3)
2025-11-03T16:28:47.6444995Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6445353Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6445517Z 
2025-11-03T16:28:47.6445639Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6446038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6446442Z     return mod(*inputs)
2025-11-03T16:28:47.6446719Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6447052Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6447377Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:28:47.6447665Z     s3 = self.down2(s2)
2025-11-03T16:28:47.6447941Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6448270Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6448414Z 
2025-11-03T16:28:47.6448521Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6448871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6449183Z     return mod(*inputs)
2025-11-03T16:28:47.6449459Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6449788Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6450112Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:28:47.6450400Z     x = self.up3(x, s3)
2025-11-03T16:28:47.6450674Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6451036Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6451223Z 
2025-11-03T16:28:47.6451316Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6451552Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6451889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6452242Z     return mod(*inputs)
2025-11-03T16:28:47.6452519Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6452847Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6453167Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:28:47.6453465Z     x = self.up3(x, s3)
2025-11-03T16:28:47.6453742Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6454106Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6454292Z 
2025-11-03T16:28:47.6454402Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6454743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6455056Z     return mod(*inputs)
2025-11-03T16:28:47.6455334Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6455668Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6455984Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:28:47.6456279Z     x = self.up4(x, s2)
2025-11-03T16:28:47.6456554Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6456879Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6457026Z 
2025-11-03T16:28:47.6457136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6457505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6457866Z     return mod(*inputs)
2025-11-03T16:28:47.6458159Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6458488Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6458812Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:28:47.6459109Z     x = self.up4(x, s2)
2025-11-03T16:28:47.6459374Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6459696Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6459850Z 
2025-11-03T16:28:47.6459951Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6460300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6460619Z     return mod(*inputs)
2025-11-03T16:28:47.6460892Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6461221Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6461542Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:28:47.6461844Z     s2 = self.down1(s1)
2025-11-03T16:28:47.6462113Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6462436Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6462587Z 
2025-11-03T16:28:47.6462690Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6463035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6463353Z     return mod(*inputs)
2025-11-03T16:28:47.6463625Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6463954Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6464275Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:28:47.6464569Z     x = self.up4(x, s2)
2025-11-03T16:28:47.6464833Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6465242Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6465441Z 
2025-11-03T16:28:47.6465520Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6465755Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6466113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6466467Z     return mod(*inputs)
2025-11-03T16:28:47.6466748Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6467238Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6467576Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:28:47.6467866Z     x = self.up4(x, s2)
2025-11-03T16:28:47.6468140Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6468508Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6468697Z 
2025-11-03T16:28:47.6468807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6469156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6469466Z     return mod(*inputs)
2025-11-03T16:28:47.6469750Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6470085Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6470407Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:28:47.6470695Z     x = self.up5(x, s1)
2025-11-03T16:28:47.6471055Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6471380Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6471525Z 
2025-11-03T16:28:47.6471636Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6471997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6472310Z     return mod(*inputs)
2025-11-03T16:28:47.6472593Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6472928Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6473253Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:28:47.6473542Z     x = self.up5(x, s1)
2025-11-03T16:28:47.6473818Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6474145Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6474289Z 
2025-11-03T16:28:47.6474396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6474748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6475060Z     return mod(*inputs)
2025-11-03T16:28:47.6475338Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6475677Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6476008Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-11-03T16:28:47.6476344Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6476505Z 
2025-11-03T16:28:47.6476609Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6476970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6477298Z     return mod(*inputs)
2025-11-03T16:28:47.6477586Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6477980Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6478346Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:28:47.6478764Z     x = self.up5(x, s1)
2025-11-03T16:28:47.6479071Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6479485Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6479708Z 
2025-11-03T16:28:47.6479794Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6480047Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6480424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6480750Z     return mod(*inputs)
2025-11-03T16:28:47.6481035Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6481374Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6481708Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:28:47.6482020Z     x = self.up5(x, s1)
2025-11-03T16:28:47.6482292Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6482666Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6482862Z 
2025-11-03T16:28:47.6482966Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6483325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6483651Z     return mod(*inputs)
2025-11-03T16:28:47.6483930Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6484323Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6484657Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:28:47.6484957Z     x = self.up5(x, s1)
2025-11-03T16:28:47.6485230Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6485607Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6485803Z 
2025-11-03T16:28:47.6485907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6486263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6486586Z     return mod(*inputs)
2025-11-03T16:28:47.6486864Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-11-03T16:28:47.6487200Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-11-03T16:28:47.6487532Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-11-03T16:28:47.6487864Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-11-03T16:28:47.6488012Z 
2025-11-03T16:28:47.6488113Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6488473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6488793Z     return mod(*inputs)
2025-11-03T16:28:47.6489080Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 45, in forward
2025-11-03T16:28:47.6489427Z     g_I1_F_t_1 = self.trainFlowBackWarp(I1, F_t_1)
2025-11-03T16:28:47.6489755Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:28:47.6490072Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:28:47.6490212Z 
2025-11-03T16:28:47.6490316Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6490675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6490992Z     return mod(*inputs)
2025-11-03T16:28:47.6491279Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 44, in forward
2025-11-03T16:28:47.6491622Z     g_I0_F_t_0 = self.trainFlowBackWarp(I0, F_t_0)
2025-11-03T16:28:47.6491997Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:28:47.6492314Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:28:47.6492444Z 
2025-11-03T16:28:47.6492525Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6492741Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6492959Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6493161Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6493382Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6493729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6494041Z     return mod(*inputs)
2025-11-03T16:28:47.6494324Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward
2025-11-03T16:28:47.6494625Z     torch.cat(
2025-11-03T16:28:47.6494723Z 
2025-11-03T16:28:47.6494824Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6495172Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6495489Z     return mod(*inputs)
2025-11-03T16:28:47.6495765Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6496075Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6496387Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-11-03T16:28:47.6496716Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6496865Z 
2025-11-03T16:28:47.6496978Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6497354Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6497671Z     return mod(*inputs)
2025-11-03T16:28:47.6497951Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6498279Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6498594Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-11-03T16:28:47.6498916Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6499072Z 
2025-11-03T16:28:47.6499174Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6499523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6499837Z     return mod(*inputs)
2025-11-03T16:28:47.6500108Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6500428Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6500742Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-11-03T16:28:47.6501079Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6501231Z 
2025-11-03T16:28:47.6501337Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6501686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6502000Z     return mod(*inputs)
2025-11-03T16:28:47.6502279Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6502598Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6502903Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:28:47.6503203Z     s2 = self.down1(s1)
2025-11-03T16:28:47.6503479Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:28:47.6503786Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:28:47.6503898Z 
2025-11-03T16:28:47.6504012Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6504367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6504690Z     return mod(*inputs)
2025-11-03T16:28:47.6505022Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6505351Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6505649Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:28:47.6505952Z     s2 = self.down1(s1)
2025-11-03T16:28:47.6506226Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6506557Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6506708Z 
2025-11-03T16:28:47.6506989Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6507343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6507670Z     return mod(*inputs)
2025-11-03T16:28:47.6507953Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6508278Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6508591Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:28:47.6508901Z     s2 = self.down1(s1)
2025-11-03T16:28:47.6509181Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6509525Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6509668Z 
2025-11-03T16:28:47.6509776Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6510114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6510426Z     return mod(*inputs)
2025-11-03T16:28:47.6510748Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6511076Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6511383Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:28:47.6511690Z     s2 = self.down1(s1)
2025-11-03T16:28:47.6511975Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6512317Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6512467Z 
2025-11-03T16:28:47.6512580Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6512935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6513259Z     return mod(*inputs)
2025-11-03T16:28:47.6513548Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6513891Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6514220Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:28:47.6514549Z     s3 = self.down2(s2)
2025-11-03T16:28:47.6514857Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:28:47.6515186Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:28:47.6515304Z 
2025-11-03T16:28:47.6515414Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6515795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6516135Z     return mod(*inputs)
2025-11-03T16:28:47.6516440Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6516782Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6517110Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:28:47.6517440Z     s3 = self.down2(s2)
2025-11-03T16:28:47.6517816Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6518180Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6518340Z 
2025-11-03T16:28:47.6518450Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6518867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6519195Z     return mod(*inputs)
2025-11-03T16:28:47.6519486Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6519815Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6520142Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:28:47.6520468Z     s3 = self.down2(s2)
2025-11-03T16:28:47.6520769Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6521124Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6521284Z 
2025-11-03T16:28:47.6521396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6521778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6522123Z     return mod(*inputs)
2025-11-03T16:28:47.6522427Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6522772Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6523098Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:28:47.6523425Z     s3 = self.down2(s2)
2025-11-03T16:28:47.6523722Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6524078Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6524237Z 
2025-11-03T16:28:47.6524346Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6524767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6525110Z     return mod(*inputs)
2025-11-03T16:28:47.6525415Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6525757Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6526087Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:28:47.6526408Z     s4 = self.down3(s3)
2025-11-03T16:28:47.6526705Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:28:47.6527034Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:28:47.6527151Z 
2025-11-03T16:28:47.6527261Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6527642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6527983Z     return mod(*inputs)
2025-11-03T16:28:47.6528287Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6528620Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6528950Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:28:47.6529268Z     s4 = self.down3(s3)
2025-11-03T16:28:47.6529569Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6529919Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6530075Z 
2025-11-03T16:28:47.6530185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6530560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6530897Z     return mod(*inputs)
2025-11-03T16:28:47.6531197Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6531526Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6531859Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:28:47.6532182Z     s4 = self.down3(s3)
2025-11-03T16:28:47.6532475Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6532819Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6533036Z 
2025-11-03T16:28:47.6533146Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6533524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6533862Z     return mod(*inputs)
2025-11-03T16:28:47.6534166Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6534495Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6534828Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:28:47.6535152Z     s4 = self.down3(s3)
2025-11-03T16:28:47.6535452Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6535799Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6535957Z 
2025-11-03T16:28:47.6536065Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6536446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6536781Z     return mod(*inputs)
2025-11-03T16:28:47.6537080Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6537412Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6537741Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:28:47.6538062Z     s5 = self.down4(s4)
2025-11-03T16:28:47.6538354Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:28:47.6538676Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:28:47.6538795Z 
2025-11-03T16:28:47.6538946Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6539323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6539660Z     return mod(*inputs)
2025-11-03T16:28:47.6539959Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6540296Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6540628Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:28:47.6540949Z     s5 = self.down4(s4)
2025-11-03T16:28:47.6541246Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6541590Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6541757Z 
2025-11-03T16:28:47.6541869Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6542250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6542590Z     return mod(*inputs)
2025-11-03T16:28:47.6542893Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6543225Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6543561Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:28:47.6543880Z     s5 = self.down4(s4)
2025-11-03T16:28:47.6544184Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6544508Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6544666Z 
2025-11-03T16:28:47.6544770Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6545124Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6545445Z     return mod(*inputs)
2025-11-03T16:28:47.6545730Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6546044Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6546357Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:28:47.6546661Z     s5 = self.down4(s4)
2025-11-03T16:28:47.6546993Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6547321Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6547479Z 
2025-11-03T16:28:47.6547582Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6547944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6548270Z     return mod(*inputs)
2025-11-03T16:28:47.6548558Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6548870Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6549189Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:28:47.6549494Z     x = self.down5(s5)
2025-11-03T16:28:47.6549778Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-11-03T16:28:47.6550082Z     x = F.avg_pool2d(x, 2)
2025-11-03T16:28:47.6550203Z 
2025-11-03T16:28:47.6550305Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6550666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6550987Z     return mod(*inputs)
2025-11-03T16:28:47.6551269Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6551582Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6551895Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:28:47.6552200Z     x = self.down5(s5)
2025-11-03T16:28:47.6552517Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6552845Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6553002Z 
2025-11-03T16:28:47.6553106Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6553463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6553786Z     return mod(*inputs)
2025-11-03T16:28:47.6554070Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6554385Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6554697Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:28:47.6555001Z     x = self.down5(s5)
2025-11-03T16:28:47.6555282Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-11-03T16:28:47.6555610Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6555767Z 
2025-11-03T16:28:47.6555874Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6556230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6556552Z     return mod(*inputs)
2025-11-03T16:28:47.6556831Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6557163Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6557495Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-11-03T16:28:47.6557921Z     x = self.down5(s5)
2025-11-03T16:28:47.6558234Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6558606Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6558790Z 
2025-11-03T16:28:47.6558900Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6559288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6559636Z     return mod(*inputs)
2025-11-03T16:28:47.6559932Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6560280Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6560636Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:28:47.6560964Z     x = self.up1(x, s5)
2025-11-03T16:28:47.6561257Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6561603Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6561768Z 
2025-11-03T16:28:47.6561876Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6562249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6562586Z     return mod(*inputs)
2025-11-03T16:28:47.6562881Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6563221Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6563550Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:28:47.6563873Z     x = self.up1(x, s5)
2025-11-03T16:28:47.6564169Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6564512Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6564678Z 
2025-11-03T16:28:47.6564787Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6565160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6565498Z     return mod(*inputs)
2025-11-03T16:28:47.6565791Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6566130Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6566511Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-11-03T16:28:47.6566834Z     s5 = self.down4(s4)
2025-11-03T16:28:47.6567274Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6567625Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6567800Z 
2025-11-03T16:28:47.6567912Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6568294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6568636Z     return mod(*inputs)
2025-11-03T16:28:47.6568945Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6569277Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6569598Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:28:47.6569908Z     x = self.up1(x, s5)
2025-11-03T16:28:47.6570196Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6570573Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6570777Z 
2025-11-03T16:28:47.6570861Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6571105Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6571464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6571783Z     return mod(*inputs)
2025-11-03T16:28:47.6572073Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6572400Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6572714Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-11-03T16:28:47.6573018Z     x = self.up1(x, s5)
2025-11-03T16:28:47.6573294Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6573673Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6573869Z 
2025-11-03T16:28:47.6573982Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6574353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6574749Z     return mod(*inputs)
2025-11-03T16:28:47.6575037Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6575360Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6575673Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:28:47.6575980Z     x = self.up2(x, s4)
2025-11-03T16:28:47.6576257Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6576592Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6576743Z 
2025-11-03T16:28:47.6576859Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6577221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6577535Z     return mod(*inputs)
2025-11-03T16:28:47.6577827Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6578151Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6578464Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:28:47.6578758Z     x = self.up2(x, s4)
2025-11-03T16:28:47.6579036Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6579368Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6579517Z 
2025-11-03T16:28:47.6579629Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6580037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6580352Z     return mod(*inputs)
2025-11-03T16:28:47.6580645Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6580980Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6581304Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-11-03T16:28:47.6581611Z     s4 = self.down3(s3)
2025-11-03T16:28:47.6581900Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6582247Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6582403Z 
2025-11-03T16:28:47.6582518Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6582889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6583211Z     return mod(*inputs)
2025-11-03T16:28:47.6583514Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6583850Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6584178Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:28:47.6584485Z     x = self.up2(x, s4)
2025-11-03T16:28:47.6584780Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6585181Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6585376Z 
2025-11-03T16:28:47.6585467Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6585710Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6586062Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6586396Z     return mod(*inputs)
2025-11-03T16:28:47.6586702Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6587054Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6587383Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-11-03T16:28:47.6587716Z     x = self.up2(x, s4)
2025-11-03T16:28:47.6588013Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6588496Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6588686Z 
2025-11-03T16:28:47.6588797Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6589145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6589463Z     return mod(*inputs)
2025-11-03T16:28:47.6589749Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6590073Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6590381Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:28:47.6590689Z     x = self.up3(x, s3)
2025-11-03T16:28:47.6590971Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6591307Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6591463Z 
2025-11-03T16:28:47.6591574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6591920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6592247Z     return mod(*inputs)
2025-11-03T16:28:47.6592544Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6592885Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6593208Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:28:47.6593531Z     x = self.up3(x, s3)
2025-11-03T16:28:47.6593863Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6594215Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6594381Z 
2025-11-03T16:28:47.6594491Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6594838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6595163Z     return mod(*inputs)
2025-11-03T16:28:47.6595449Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6595768Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6596075Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-11-03T16:28:47.6596379Z     s3 = self.down2(s2)
2025-11-03T16:28:47.6596656Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6597003Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6597161Z 
2025-11-03T16:28:47.6597280Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6597714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6598095Z     return mod(*inputs)
2025-11-03T16:28:47.6598379Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6598721Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6599042Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:28:47.6599367Z     x = self.up3(x, s3)
2025-11-03T16:28:47.6599663Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6600065Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6600270Z 
2025-11-03T16:28:47.6600368Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6600618Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6600975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6601298Z     return mod(*inputs)
2025-11-03T16:28:47.6601583Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6601945Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6602256Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-11-03T16:28:47.6602559Z     x = self.up3(x, s3)
2025-11-03T16:28:47.6602837Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6603203Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6603405Z 
2025-11-03T16:28:47.6603509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6603866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6604257Z     return mod(*inputs)
2025-11-03T16:28:47.6604545Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6604861Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6605181Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:28:47.6605493Z     x = self.up4(x, s2)
2025-11-03T16:28:47.6605770Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6606100Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6606257Z 
2025-11-03T16:28:47.6606361Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6606719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6607043Z     return mod(*inputs)
2025-11-03T16:28:47.6607328Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6607675Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6607989Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:28:47.6608291Z     x = self.up4(x, s2)
2025-11-03T16:28:47.6608568Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6608890Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6609048Z 
2025-11-03T16:28:47.6609149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6609499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6609819Z     return mod(*inputs)
2025-11-03T16:28:47.6610100Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6610411Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6610725Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-11-03T16:28:47.6611020Z     s2 = self.down1(s1)
2025-11-03T16:28:47.6611290Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-11-03T16:28:47.6611603Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6611753Z 
2025-11-03T16:28:47.6611857Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6612203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6612514Z     return mod(*inputs)
2025-11-03T16:28:47.6612789Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6613093Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6613394Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:28:47.6613686Z     x = self.up4(x, s2)
2025-11-03T16:28:47.6613955Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6614312Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6614507Z 
2025-11-03T16:28:47.6614586Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6614823Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6615204Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6615517Z     return mod(*inputs)
2025-11-03T16:28:47.6615787Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6616102Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6616408Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-11-03T16:28:47.6616702Z     x = self.up4(x, s2)
2025-11-03T16:28:47.6616965Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6617328Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6617520Z 
2025-11-03T16:28:47.6617621Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6617964Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6618278Z     return mod(*inputs)
2025-11-03T16:28:47.6618546Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6618859Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6619162Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:28:47.6619462Z     x = self.up5(x, s1)
2025-11-03T16:28:47.6619735Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6620066Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6620222Z 
2025-11-03T16:28:47.6620326Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6620712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6621040Z     return mod(*inputs)
2025-11-03T16:28:47.6621319Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6621646Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6621962Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:28:47.6622265Z     x = self.up5(x, s1)
2025-11-03T16:28:47.6622536Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-11-03T16:28:47.6622865Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-11-03T16:28:47.6623023Z 
2025-11-03T16:28:47.6623125Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6623478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6623793Z     return mod(*inputs)
2025-11-03T16:28:47.6624080Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6624400Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6624711Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-11-03T16:28:47.6625054Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-11-03T16:28:47.6625206Z 
2025-11-03T16:28:47.6625309Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6625662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6625980Z     return mod(*inputs)
2025-11-03T16:28:47.6626263Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6626576Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6626887Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:28:47.6627192Z     x = self.up5(x, s1)
2025-11-03T16:28:47.6627471Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6627845Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6628074Z 
2025-11-03T16:28:47.6628155Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6628397Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6628756Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6629080Z     return mod(*inputs)
2025-11-03T16:28:47.6629360Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6629686Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6630000Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:28:47.6630306Z     x = self.up5(x, s1)
2025-11-03T16:28:47.6630588Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6630956Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6631155Z 
2025-11-03T16:28:47.6631261Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6631621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6631954Z     return mod(*inputs)
2025-11-03T16:28:47.6632246Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6632586Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6632911Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-11-03T16:28:47.6633215Z     x = self.up5(x, s1)
2025-11-03T16:28:47.6633491Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-11-03T16:28:47.6633897Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-11-03T16:28:47.6634098Z 
2025-11-03T16:28:47.6634202Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6634559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6634899Z     return mod(*inputs)
2025-11-03T16:28:47.6635196Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-11-03T16:28:47.6635538Z     intrpOut = self.ArbTimeFlowIntrp(
2025-11-03T16:28:47.6635866Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-11-03T16:28:47.6636221Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-11-03T16:28:47.6636380Z 
2025-11-03T16:28:47.6636496Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6636863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6637203Z     return mod(*inputs)
2025-11-03T16:28:47.6637510Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 57, in forward
2025-11-03T16:28:47.6637943Z     V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :])
2025-11-03T16:28:47.6638095Z 
2025-11-03T16:28:47.6638204Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6638590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6638935Z     return mod(*inputs)
2025-11-03T16:28:47.6639239Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 61, in forward
2025-11-03T16:28:47.6639608Z     g_I0_F_t_0_f = self.trainFlowBackWarp(I0, F_t_0_f)
2025-11-03T16:28:47.6639959Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:28:47.6640336Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:28:47.6640478Z 
2025-11-03T16:28:47.6640588Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6640969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6641284Z     return mod(*inputs)
2025-11-03T16:28:47.6641569Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 62, in forward
2025-11-03T16:28:47.6641956Z     g_I1_F_t_1_f = self.trainFlowBackWarp(I1, F_t_1_f)
2025-11-03T16:28:47.6642289Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:28:47.6642603Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:28:47.6642729Z 
2025-11-03T16:28:47.6642835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6643190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6643511Z     return mod(*inputs)
2025-11-03T16:28:47.6643802Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 79, in forward
2025-11-03T16:28:47.6644141Z     + L1_lossFn(self.trainFlowBackWarp(I0, F_1_0), I1)
2025-11-03T16:28:47.6644482Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:28:47.6644799Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:28:47.6644926Z 
2025-11-03T16:28:47.6645038Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6645396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6645711Z     return mod(*inputs)
2025-11-03T16:28:47.6645999Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6646394Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6646598Z 
2025-11-03T16:28:47.6646709Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6647062Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6647374Z     return mod(*inputs)
2025-11-03T16:28:47.6647700Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6648088Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6648289Z 
2025-11-03T16:28:47.6648399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6648748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6649071Z     return mod(*inputs)
2025-11-03T16:28:47.6649355Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6649741Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6649937Z 
2025-11-03T16:28:47.6650047Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6650394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6650716Z     return mod(*inputs)
2025-11-03T16:28:47.6651000Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6651383Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6651579Z 
2025-11-03T16:28:47.6651692Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6652041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6652358Z     return mod(*inputs)
2025-11-03T16:28:47.6652644Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6653027Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6653220Z 
2025-11-03T16:28:47.6653322Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6653675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6653997Z     return mod(*inputs)
2025-11-03T16:28:47.6654282Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6654670Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6654708Z 
2025-11-03T16:28:47.6654811Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6655005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6655078Z     return mod(*inputs)
2025-11-03T16:28:47.6655259Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6655405Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6655408Z 
2025-11-03T16:28:47.6655509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6655702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6655777Z     return mod(*inputs)
2025-11-03T16:28:47.6655958Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6656103Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6656109Z 
2025-11-03T16:28:47.6656211Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6656408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6656471Z     return mod(*inputs)
2025-11-03T16:28:47.6656650Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6656794Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6656798Z 
2025-11-03T16:28:47.6656897Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6657138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6657205Z     return mod(*inputs)
2025-11-03T16:28:47.6657386Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6657533Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6657539Z 
2025-11-03T16:28:47.6657639Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6657838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6657901Z     return mod(*inputs)
2025-11-03T16:28:47.6658088Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6658226Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6658230Z 
2025-11-03T16:28:47.6658329Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6658531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6658595Z     return mod(*inputs)
2025-11-03T16:28:47.6658781Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6658920Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6658927Z 
2025-11-03T16:28:47.6659026Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6659227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6659293Z     return mod(*inputs)
2025-11-03T16:28:47.6659482Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6659618Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6659622Z 
2025-11-03T16:28:47.6659729Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6659923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6659987Z     return mod(*inputs)
2025-11-03T16:28:47.6660175Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6660343Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6660347Z 
2025-11-03T16:28:47.6660456Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6660647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6660712Z     return mod(*inputs)
2025-11-03T16:28:47.6660901Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6661040Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6661043Z 
2025-11-03T16:28:47.6661150Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6661343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6661407Z     return mod(*inputs)
2025-11-03T16:28:47.6661595Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6661735Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6661739Z 
2025-11-03T16:28:47.6661848Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6662038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6662110Z     return mod(*inputs)
2025-11-03T16:28:47.6662291Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6662430Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6662434Z 
2025-11-03T16:28:47.6662541Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6662767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6662841Z     return mod(*inputs)
2025-11-03T16:28:47.6663022Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6663162Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6663174Z 
2025-11-03T16:28:47.6663276Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6663466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6663539Z     return mod(*inputs)
2025-11-03T16:28:47.6663721Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6663867Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6663871Z 
2025-11-03T16:28:47.6663977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6664168Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6664241Z     return mod(*inputs)
2025-11-03T16:28:47.6664422Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6664571Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6664575Z 
2025-11-03T16:28:47.6664674Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6664863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6664939Z     return mod(*inputs)
2025-11-03T16:28:47.6665118Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6665263Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6665266Z 
2025-11-03T16:28:47.6665370Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6665566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6665630Z     return mod(*inputs)
2025-11-03T16:28:47.6665813Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6665993Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6665996Z 
2025-11-03T16:28:47.6666096Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6666293Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6666357Z     return mod(*inputs)
2025-11-03T16:28:47.6666534Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6666679Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6666682Z 
2025-11-03T16:28:47.6666793Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6667162Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6667237Z     return mod(*inputs)
2025-11-03T16:28:47.6667436Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6667588Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6667591Z 
2025-11-03T16:28:47.6667696Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6667908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6667976Z     return mod(*inputs)
2025-11-03T16:28:47.6668183Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6668322Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6668410Z 
2025-11-03T16:28:47.6668512Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6668709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6668773Z     return mod(*inputs)
2025-11-03T16:28:47.6668965Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6669102Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6669106Z 
2025-11-03T16:28:47.6669194Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6669275Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6669377Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6669574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6669639Z     return mod(*inputs)
2025-11-03T16:28:47.6669832Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 80, in forward
2025-11-03T16:28:47.6669934Z     + L1_lossFn(self.trainFlowBackWarp(I1, F_0_1), I0)
2025-11-03T16:28:47.6670115Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-11-03T16:28:47.6670197Z     grid = torch.stack((x, y), dim=3)
2025-11-03T16:28:47.6670202Z 
2025-11-03T16:28:47.6670280Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6670389Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6670581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6670647Z     return mod(*inputs)
2025-11-03T16:28:47.6670834Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6670972Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6670975Z 
2025-11-03T16:28:47.6671085Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6671279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6671343Z     return mod(*inputs)
2025-11-03T16:28:47.6671538Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6671745Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6671749Z 
2025-11-03T16:28:47.6671863Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6672067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6672144Z     return mod(*inputs)
2025-11-03T16:28:47.6672335Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6672481Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6672484Z 
2025-11-03T16:28:47.6672598Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6672803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6672878Z     return mod(*inputs)
2025-11-03T16:28:47.6673070Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6673218Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6673229Z 
2025-11-03T16:28:47.6673336Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6673538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6673612Z     return mod(*inputs)
2025-11-03T16:28:47.6673802Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6673955Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6673959Z 
2025-11-03T16:28:47.6674105Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6674314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6674395Z     return mod(*inputs)
2025-11-03T16:28:47.6674587Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6674743Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6674747Z 
2025-11-03T16:28:47.6674853Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6675057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6675131Z     return mod(*inputs)
2025-11-03T16:28:47.6675325Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6675480Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6675484Z 
2025-11-03T16:28:47.6675591Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6675803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6675871Z     return mod(*inputs)
2025-11-03T16:28:47.6676064Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6676222Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6676226Z 
2025-11-03T16:28:47.6676331Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6676546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6676613Z     return mod(*inputs)
2025-11-03T16:28:47.6676807Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6676963Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6676967Z 
2025-11-03T16:28:47.6677075Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6677287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6677356Z     return mod(*inputs)
2025-11-03T16:28:47.6677585Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6677813Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6677817Z 
2025-11-03T16:28:47.6677926Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6678138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6678207Z     return mod(*inputs)
2025-11-03T16:28:47.6678420Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6678571Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6678579Z 
2025-11-03T16:28:47.6678700Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6678906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6678974Z     return mod(*inputs)
2025-11-03T16:28:47.6679171Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-11-03T16:28:47.6679315Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-11-03T16:28:47.6679319Z 
2025-11-03T16:28:47.6679410Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6679491Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6679571Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6679662Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6679742Z cudagraph partition due to non gpu ops
2025-11-03T16:28:47.6679849Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:28:47.6680093Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:28:47.6680165Z     return mod(*inputs)
2025-11-03T16:28:47.6680363Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 94, in forward
2025-11-03T16:28:47.6680502Z     loss = 204 * recnLoss + 102 * warpLoss + 0.005 * prcpLoss + loss_smooth
2025-11-03T16:28:47.6680509Z 
2025-11-03T16:29:13.6686591Z Compilation time (from dynamo_timed): 33.988250485
2025-11-03T16:29:13.6686887Z pass
2025-11-03T16:29:13.6691584Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:13.6692452Z TIMING: _recursive_pre_grad_passes:0.0078 _recursive_joint_graph_passes:0.5093 _recursive_post_grad_passes:0.13702 async_compile.wait:1.63068 code_gen:25.43427 inductor_compile:28.28694 backend_compile:31.63694 gc:0.00196 entire_frame_compile:33.98825 total_wall_time:33.98825
2025-11-03T16:29:13.6693478Z STATS: call_* op count: 374 | FakeTensorMode.__torch_dispatch__:9820 | FakeTensor.__torch_dispatch__:9287 | ProxyTorchDispatchMode.__torch_dispatch__:3330
2025-11-03T16:29:13.6694018Z Dynamo produced 1 graphs covering 374 ops with 0 graph breaks (0 unique)
2025-11-03T16:29:15.9227733Z /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.
2025-11-03T16:29:15.9229213Z   import pynvml  # type: ignore[import]
2025-11-03T16:29:18.1666217Z 
2025-11-03T16:29:18.5413658Z 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
2025-11-03T16:29:18.5608889Z 
2025-11-03T16:29:18.5608907Z 
2025-11-03T16:29:18.6614693Z   0% 0.00/233M [00:00<?, ?B/s]
2025-11-03T16:29:18.6614939Z 
2025-11-03T16:29:18.7774342Z  19% 44.5M/233M [00:00<00:00, 464MB/s]
2025-11-03T16:29:18.7776949Z 
2025-11-03T16:29:18.9032375Z  38% 88.9M/233M [00:00<00:00, 425MB/s]
2025-11-03T16:29:18.9032603Z 
2025-11-03T16:29:19.0320032Z  56% 130M/233M [00:00<00:00, 383MB/s] 
2025-11-03T16:29:19.0320252Z 
2025-11-03T16:29:19.2050128Z  71% 167M/233M [00:00<00:00, 349MB/s]
2025-11-03T16:29:19.2050351Z 
2025-11-03T16:29:19.2772740Z  86% 200M/233M [00:00<00:00, 285MB/s]
2025-11-03T16:29:19.2778595Z 100% 233M/233M [00:00<00:00, 341MB/s]
2025-11-03T16:29:19.5864521Z 
2025-11-03T16:29:19.5865564Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:29:19.5865898Z cpu  eval  alexnet                            
2025-11-03T16:29:19.7277670Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:19.7654654Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:19.8032489Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:21.9207040Z cudagraph partition due to non gpu ops
2025-11-03T16:29:21.9211899Z cudagraph partition due to non gpu ops
2025-11-03T16:29:21.9214800Z cudagraph partition due to non gpu ops
2025-11-03T16:29:21.9215106Z cudagraph partition due to non gpu ops
2025-11-03T16:29:21.9215421Z cudagraph partition due to non gpu ops
2025-11-03T16:29:21.9215648Z cudagraph partition due to non gpu ops
2025-11-03T16:29:21.9215906Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9216325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9216745Z     return mod(*inputs)
2025-11-03T16:29:21.9217132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:29:21.9217517Z     x = self.features(x)
2025-11-03T16:29:21.9217642Z 
2025-11-03T16:29:21.9217760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9218560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9218897Z     return mod(*inputs)
2025-11-03T16:29:21.9219226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:29:21.9219571Z     x = self.features(x)
2025-11-03T16:29:21.9219685Z 
2025-11-03T16:29:21.9219790Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9220140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9220457Z     return mod(*inputs)
2025-11-03T16:29:21.9220780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:29:21.9221113Z     x = self.features(x)
2025-11-03T16:29:21.9221228Z 
2025-11-03T16:29:21.9221329Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9221679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9221993Z     return mod(*inputs)
2025-11-03T16:29:21.9222303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:29:21.9222665Z     x = self.features(x)
2025-11-03T16:29:21.9222780Z 
2025-11-03T16:29:21.9222882Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9223228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9223540Z     return mod(*inputs)
2025-11-03T16:29:21.9223852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:29:21.9224189Z     x = self.features(x)
2025-11-03T16:29:21.9224298Z 
2025-11-03T16:29:21.9224399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9224743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9225052Z     return mod(*inputs)
2025-11-03T16:29:21.9225374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:29:21.9225718Z     x = self.features(x)
2025-11-03T16:29:21.9225818Z 
2025-11-03T16:29:21.9226037Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9226393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9226707Z     return mod(*inputs)
2025-11-03T16:29:21.9227035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:29:21.9227384Z     x = self.features(x)
2025-11-03T16:29:21.9227487Z 
2025-11-03T16:29:21.9227596Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9227944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9228266Z     return mod(*inputs)
2025-11-03T16:29:21.9228591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:29:21.9228944Z     x = self.features(x)
2025-11-03T16:29:21.9229049Z 
2025-11-03T16:29:21.9229158Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9229513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9229837Z     return mod(*inputs)
2025-11-03T16:29:21.9230155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:29:21.9230601Z     x = self.features(x)
2025-11-03T16:29:21.9230709Z 
2025-11-03T16:29:21.9230811Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9231169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9231501Z     return mod(*inputs)
2025-11-03T16:29:21.9231891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-11-03T16:29:21.9232283Z     x = self.features(x)
2025-11-03T16:29:21.9232387Z 
2025-11-03T16:29:21.9232486Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9232840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9233162Z     return mod(*inputs)
2025-11-03T16:29:21.9233484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 49, in forward
2025-11-03T16:29:21.9233818Z     x = self.avgpool(x)
2025-11-03T16:29:21.9233926Z 
2025-11-03T16:29:21.9234027Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9234472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9234796Z     return mod(*inputs)
2025-11-03T16:29:21.9235121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-11-03T16:29:21.9235465Z     x = self.classifier(x)
2025-11-03T16:29:21.9235585Z 
2025-11-03T16:29:21.9235703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9236056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9236375Z     return mod(*inputs)
2025-11-03T16:29:21.9236689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-11-03T16:29:21.9237032Z     x = self.classifier(x)
2025-11-03T16:29:21.9237151Z 
2025-11-03T16:29:21.9237252Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9237598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9238204Z     return mod(*inputs)
2025-11-03T16:29:21.9238572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-11-03T16:29:21.9238946Z     x = self.classifier(x)
2025-11-03T16:29:21.9239070Z 
2025-11-03T16:29:21.9239181Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9239556Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9239947Z     return mod(*inputs)
2025-11-03T16:29:21.9240284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-11-03T16:29:21.9240657Z     x = self.classifier(x)
2025-11-03T16:29:21.9240770Z 
2025-11-03T16:29:21.9240869Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:21.9241212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:21.9241524Z     return mod(*inputs)
2025-11-03T16:29:21.9241832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-11-03T16:29:21.9242213Z     x = self.classifier(x)
2025-11-03T16:29:21.9242322Z 
2025-11-03T16:29:31.9659142Z Compilation time (from dynamo_timed): 11.688225861
2025-11-03T16:29:31.9659425Z pass
2025-11-03T16:29:31.9659713Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:31.9660549Z TIMING: _recursive_pre_grad_passes:0.00344 _recursive_joint_graph_passes:0.31274 _recursive_post_grad_passes:0.01602 async_compile.wait:0.73847 code_gen:10.05194 inductor_compile:10.18301 backend_compile:11.35079 gc:0.00149 entire_frame_compile:11.68823 total_wall_time:11.68823
2025-11-03T16:29:31.9661584Z STATS: call_* op count: 22 | FakeTensorMode.__torch_dispatch__:911 | FakeTensor.__torch_dispatch__:163 | ProxyTorchDispatchMode.__torch_dispatch__:106
2025-11-03T16:29:31.9662072Z Dynamo produced 1 graphs covering 22 ops with 0 graph breaks (0 unique)
2025-11-03T16:29:33.6214240Z /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.
2025-11-03T16:29:33.6215154Z   import pynvml  # type: ignore[import]
2025-11-03T16:29:35.7947259Z 
2025-11-03T16:29:36.9534394Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:29:36.9538558Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:29:36.9542446Z cpu  eval  basic_gnn_edgecnn                  
2025-11-03T16:29:37.4182146Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:37.6662832Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:37.9327975Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:39.3813160Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3815955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3816515Z     return mod(*inputs)
2025-11-03T16:29:39.3821921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3824407Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3824818Z   File "/tmp/jenkins_pyg/tmpnrlt97ok.py", line 233, in forward
2025-11-03T16:29:39.3825214Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3830556Z   File "/tmp/jenkins_pyg/tmpnrlt97ok.py", line 192, in propagate
2025-11-03T16:29:39.3836405Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:29:39.3837036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:29:39.3837550Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:29:39.3838251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:29:39.3838711Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:29:39.3839157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-11-03T16:29:39.3839969Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-11-03T16:29:39.3840379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:29:39.3840771Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:29:39.3841152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-11-03T16:29:39.3841534Z     return src.new_zeros(size).scatter_reduce_(
2025-11-03T16:29:39.3841683Z 
2025-11-03T16:29:39.3841799Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3842186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3842523Z     return mod(*inputs)
2025-11-03T16:29:39.3842876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3843252Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3843505Z   File "/tmp/jenkins_pyg/tmp72rqhie5.py", line 233, in forward
2025-11-03T16:29:39.3843781Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3844062Z   File "/tmp/jenkins_pyg/tmp72rqhie5.py", line 192, in propagate
2025-11-03T16:29:39.3844409Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:29:39.3844925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:29:39.3845375Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:29:39.3845886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:29:39.3846306Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:29:39.3846700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-11-03T16:29:39.3847119Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-11-03T16:29:39.3847527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:29:39.3847907Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:29:39.3848283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-11-03T16:29:39.3848662Z     return src.new_zeros(size).scatter_reduce_(
2025-11-03T16:29:39.3848817Z 
2025-11-03T16:29:39.3848929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3849306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3849640Z     return mod(*inputs)
2025-11-03T16:29:39.3849981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3850365Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3850617Z   File "/tmp/jenkins_pyg/tmpapc1ty4d.py", line 233, in forward
2025-11-03T16:29:39.3850891Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3851165Z   File "/tmp/jenkins_pyg/tmpapc1ty4d.py", line 192, in propagate
2025-11-03T16:29:39.3851513Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:29:39.3852004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:29:39.3852457Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:29:39.3852868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:29:39.3853266Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:29:39.3853762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-11-03T16:29:39.3854164Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-11-03T16:29:39.3854551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:29:39.3854929Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:29:39.3855301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-11-03T16:29:39.3855669Z     return src.new_zeros(size).scatter_reduce_(
2025-11-03T16:29:39.3855813Z 
2025-11-03T16:29:39.3855929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3856290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3856626Z     return mod(*inputs)
2025-11-03T16:29:39.3856977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3857354Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3857595Z   File "/tmp/jenkins_pyg/tmpnrlt97ok.py", line 233, in forward
2025-11-03T16:29:39.3857867Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3858140Z   File "/tmp/jenkins_pyg/tmpnrlt97ok.py", line 191, in propagate
2025-11-03T16:29:39.3858414Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3858800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3859222Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3859433Z 
2025-11-03T16:29:39.3859543Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3859911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3860244Z     return mod(*inputs)
2025-11-03T16:29:39.3860588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3861026Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3861270Z   File "/tmp/jenkins_pyg/tmpnrlt97ok.py", line 233, in forward
2025-11-03T16:29:39.3861542Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3861811Z   File "/tmp/jenkins_pyg/tmpnrlt97ok.py", line 191, in propagate
2025-11-03T16:29:39.3862084Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3862512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3862911Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3863287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:29:39.3863625Z     x = lin(x)
2025-11-03T16:29:39.3863951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:29:39.3864330Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:29:39.3864475Z 
2025-11-03T16:29:39.3864587Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3864949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3865269Z     return mod(*inputs)
2025-11-03T16:29:39.3865615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3865985Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3866229Z   File "/tmp/jenkins_pyg/tmpnrlt97ok.py", line 233, in forward
2025-11-03T16:29:39.3866493Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3866767Z   File "/tmp/jenkins_pyg/tmpnrlt97ok.py", line 191, in propagate
2025-11-03T16:29:39.3867296Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3867779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3868176Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3868552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:29:39.3868917Z     x = self.act(x)
2025-11-03T16:29:39.3869013Z 
2025-11-03T16:29:39.3869124Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3869483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3869800Z     return mod(*inputs)
2025-11-03T16:29:39.3870130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3870494Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3870729Z   File "/tmp/jenkins_pyg/tmpnrlt97ok.py", line 233, in forward
2025-11-03T16:29:39.3870992Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3871252Z   File "/tmp/jenkins_pyg/tmpnrlt97ok.py", line 191, in propagate
2025-11-03T16:29:39.3871515Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3871893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3872277Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3872642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:29:39.3872990Z     x = self.lins[-1](x)
2025-11-03T16:29:39.3873382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:29:39.3873768Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:29:39.3873913Z 
2025-11-03T16:29:39.3874006Z cudagraph partition due to non gpu ops
2025-11-03T16:29:39.3874248Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3874609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3874935Z     return mod(*inputs)
2025-11-03T16:29:39.3875281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3875644Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3875889Z   File "/tmp/jenkins_pyg/tmp72rqhie5.py", line 233, in forward
2025-11-03T16:29:39.3876161Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3876436Z   File "/tmp/jenkins_pyg/tmp72rqhie5.py", line 191, in propagate
2025-11-03T16:29:39.3876694Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3877079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3877544Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3877832Z 
2025-11-03T16:29:39.3878019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3878422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3878781Z     return mod(*inputs)
2025-11-03T16:29:39.3879152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3879558Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3879869Z   File "/tmp/jenkins_pyg/tmp72rqhie5.py", line 233, in forward
2025-11-03T16:29:39.3880160Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3880448Z   File "/tmp/jenkins_pyg/tmp72rqhie5.py", line 191, in propagate
2025-11-03T16:29:39.3880732Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3881177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3881650Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3882049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:29:39.3882424Z     x = lin(x)
2025-11-03T16:29:39.3882764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:29:39.3883163Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:29:39.3883317Z 
2025-11-03T16:29:39.3883435Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3883826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3884181Z     return mod(*inputs)
2025-11-03T16:29:39.3884547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3884944Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3885192Z   File "/tmp/jenkins_pyg/tmp72rqhie5.py", line 233, in forward
2025-11-03T16:29:39.3885475Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3885761Z   File "/tmp/jenkins_pyg/tmp72rqhie5.py", line 191, in propagate
2025-11-03T16:29:39.3886046Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3886455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3886868Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3887355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:29:39.3887734Z     x = self.act(x)
2025-11-03T16:29:39.3887838Z 
2025-11-03T16:29:39.3887957Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3888337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3888688Z     return mod(*inputs)
2025-11-03T16:29:39.3889054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3889451Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3889718Z   File "/tmp/jenkins_pyg/tmp72rqhie5.py", line 233, in forward
2025-11-03T16:29:39.3890005Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3890297Z   File "/tmp/jenkins_pyg/tmp72rqhie5.py", line 191, in propagate
2025-11-03T16:29:39.3890584Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3890993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3891403Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3891805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:29:39.3892183Z     x = self.lins[-1](x)
2025-11-03T16:29:39.3892548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:29:39.3892957Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:29:39.3893110Z 
2025-11-03T16:29:39.3893198Z cudagraph partition due to non gpu ops
2025-11-03T16:29:39.3893457Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3893843Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3894191Z     return mod(*inputs)
2025-11-03T16:29:39.3894552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3894950Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3895207Z   File "/tmp/jenkins_pyg/tmpapc1ty4d.py", line 233, in forward
2025-11-03T16:29:39.3895491Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3895828Z   File "/tmp/jenkins_pyg/tmpapc1ty4d.py", line 191, in propagate
2025-11-03T16:29:39.3896111Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3896527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3896940Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3897105Z 
2025-11-03T16:29:39.3897225Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3897603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3897939Z     return mod(*inputs)
2025-11-03T16:29:39.3898289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3898658Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3898899Z   File "/tmp/jenkins_pyg/tmpapc1ty4d.py", line 233, in forward
2025-11-03T16:29:39.3899163Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3899432Z   File "/tmp/jenkins_pyg/tmpapc1ty4d.py", line 191, in propagate
2025-11-03T16:29:39.3899692Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3900070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3900449Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3900825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:29:39.3901168Z     x = lin(x)
2025-11-03T16:29:39.3901526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:29:39.3901890Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:29:39.3902030Z 
2025-11-03T16:29:39.3902133Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3902489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3902807Z     return mod(*inputs)
2025-11-03T16:29:39.3903142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3903497Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3903736Z   File "/tmp/jenkins_pyg/tmpapc1ty4d.py", line 233, in forward
2025-11-03T16:29:39.3903997Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3904261Z   File "/tmp/jenkins_pyg/tmpapc1ty4d.py", line 191, in propagate
2025-11-03T16:29:39.3904527Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3904904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3905288Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3905660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:29:39.3906001Z     x = self.act(x)
2025-11-03T16:29:39.3906095Z 
2025-11-03T16:29:39.3906196Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:39.3906547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:39.3906871Z     return mod(*inputs)
2025-11-03T16:29:39.3907208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:29:39.3907569Z     x = self.convs[i](x, edge_index)
2025-11-03T16:29:39.3907825Z   File "/tmp/jenkins_pyg/tmpapc1ty4d.py", line 233, in forward
2025-11-03T16:29:39.3908087Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:29:39.3908355Z   File "/tmp/jenkins_pyg/tmpapc1ty4d.py", line 191, in propagate
2025-11-03T16:29:39.3908620Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:29:39.3909026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:29:39.3909415Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:29:39.3909795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:29:39.3910183Z     x = self.lins[-1](x)
2025-11-03T16:29:39.3910523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:29:39.3910891Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:29:39.3911041Z 
2025-11-03T16:29:39.3911127Z cudagraph partition due to non gpu ops
2025-11-03T16:29:48.1967610Z Compilation time (from dynamo_timed): 10.110765906
2025-11-03T16:29:48.1967897Z pass
2025-11-03T16:29:48.1968232Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:48.1969129Z TIMING: _recursive_pre_grad_passes:0.0039 _recursive_joint_graph_passes:0.14355 _recursive_post_grad_passes:0.01791 async_compile.wait:0.48513 code_gen:8.62276 inductor_compile:8.72716 backend_compile:9.64854 gc:0.00017 entire_frame_compile:10.11077 total_wall_time:10.11077
2025-11-03T16:29:48.1970130Z STATS: call_* op count: 55 | FakeTensorMode.__torch_dispatch__:950 | FakeTensor.__torch_dispatch__:299 | ProxyTorchDispatchMode.__torch_dispatch__:198
2025-11-03T16:29:48.1970664Z Dynamo produced 1 graphs covering 55 ops with 0 graph breaks (0 unique)
2025-11-03T16:29:49.8874640Z /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.
2025-11-03T16:29:49.8875548Z   import pynvml  # type: ignore[import]
2025-11-03T16:29:52.1056346Z 
2025-11-03T16:29:53.1795890Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:29:53.1796416Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:29:53.1797296Z cpu  eval  basic_gnn_gcn                      
2025-11-03T16:29:53.3340073Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:53.4174566Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:53.4986687Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:54.7704553Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:54.7705171Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/loop.py", line 340, in add_remaining_self_loops
2025-11-03T16:29:54.7705618Z     mask = edge_index[0] != edge_index[1]
2025-11-03T16:29:54.7705779Z 
2025-11-03T16:29:54.7705897Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:54.7706355Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/loop.py", line 343, in add_remaining_self_loops
2025-11-03T16:29:54.7706815Z     loop_index = loop_index.unsqueeze(0).repeat(2, 1)
2025-11-03T16:29:54.7706979Z 
2025-11-03T16:30:03.7729931Z cudagraph partition due to non gpu ops
2025-11-03T16:30:03.7734738Z cudagraph partition due to non gpu ops
2025-11-03T16:30:03.7739097Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.7741493Z    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
2025-11-03T16:30:03.7742065Z     edge_index = torch.cat([edge_index[:, mask], loop_index], dim=1)
2025-11-03T16:30:03.7742305Z 
2025-11-03T16:30:04.4470182Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:04.4470789Z    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
2025-11-03T16:30:04.4471870Z     deg = scatter(edge_weight, idx, dim=0, dim_size=num_nodes, reduce='sum')
2025-11-03T16:30:04.4472352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-11-03T16:30:04.4472799Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:30:04.4472996Z 
2025-11-03T16:30:04.4473122Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:04.4473628Z    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
2025-11-03T16:30:04.4474153Z     edge_weight = torch.ones((edge_index.size(1), ), dtype=dtype,
2025-11-03T16:30:04.4474370Z 
2025-11-03T16:30:04.4474463Z cudagraph partition due to non gpu ops
2025-11-03T16:30:04.4474730Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:04.4475215Z    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
2025-11-03T16:30:04.4475725Z     edge_weight = deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
2025-11-03T16:30:04.4475932Z 
2025-11-03T16:30:05.4910085Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:05.4910713Z    File "/tmp/jenkins_pyg/tmptt2ixjhd.py", line 240, in torch_dynamo_resume_in_forward_at_221
2025-11-03T16:30:05.4911166Z     x = self.lin(x)
2025-11-03T16:30:05.4914720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:05.4915397Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:05.4915610Z 
2025-11-03T16:30:05.4916153Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:05.4916525Z    File "/tmp/jenkins_pyg/tmptt2ixjhd.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-11-03T16:30:05.4916913Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-11-03T16:30:05.4917254Z   File "/tmp/jenkins_pyg/tmptt2ixjhd.py", line 188, in propagate
2025-11-03T16:30:05.4917858Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-11-03T16:30:05.4918466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:05.4918974Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:05.4919437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:05.4919917Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:05.4920359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-11-03T16:30:05.4920799Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-11-03T16:30:05.4921248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:05.4921644Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:05.4922051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-11-03T16:30:05.4922478Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:30:05.4922656Z 
2025-11-03T16:30:05.4922778Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:05.4923137Z    File "/tmp/jenkins_pyg/tmptt2ixjhd.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-11-03T16:30:05.4923513Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-11-03T16:30:05.4923828Z   File "/tmp/jenkins_pyg/tmptt2ixjhd.py", line 187, in propagate
2025-11-03T16:30:05.4924146Z     out = self.message(edge_weight=kwargs.edge_weight, x_j=kwargs.x_j)
2025-11-03T16:30:05.4924599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message
2025-11-03T16:30:05.4925154Z     return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j
2025-11-03T16:30:05.4925344Z 
2025-11-03T16:30:05.4925431Z cudagraph partition due to non gpu ops
2025-11-03T16:30:05.4925677Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:05.4926013Z    File "/tmp/jenkins_pyg/tmptt2ixjhd.py", line 247, in torch_dynamo_resume_in_forward_at_221
2025-11-03T16:30:05.4926322Z     out = out + self.bias
2025-11-03T16:30:05.4926440Z 
2025-11-03T16:30:06.5228877Z Compilation time (from dynamo_timed): 12.892224054
2025-11-03T16:30:06.5229184Z pass
2025-11-03T16:30:06.5229529Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:06.5230406Z TIMING: gc:0.00834 entire_frame_compile:12.89222 _recursive_pre_grad_passes:0.00633 _recursive_joint_graph_passes:0.1502 _recursive_post_grad_passes:0.02139 async_compile.wait:2.23767 code_gen:10.83035 inductor_compile:10.96105 backend_compile:11.98093 total_wall_time:12.89222
2025-11-03T16:30:06.5231371Z STATS: call_* op count: 57 | FakeTensorMode.__torch_dispatch__:837 | FakeTensor.__torch_dispatch__:179 | ProxyTorchDispatchMode.__torch_dispatch__:97
2025-11-03T16:30:06.5231890Z Dynamo produced 6 graphs covering 57 ops with 6 graph breaks (1 unique)
2025-11-03T16:30:08.2446144Z /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.
2025-11-03T16:30:08.2447043Z   import pynvml  # type: ignore[import]
2025-11-03T16:30:10.5035097Z 
2025-11-03T16:30:11.5849382Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:30:11.5849716Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:30:11.5849964Z cpu  eval  basic_gnn_gin                      
2025-11-03T16:30:11.6706127Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:11.7176202Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:11.7636625Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:13.2872941Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2873517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2873902Z     return mod(*inputs)
2025-11-03T16:30:13.2874331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2874799Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2875079Z   File "/tmp/jenkins_pyg/tmp6y7m_ec7.py", line 225, in forward
2025-11-03T16:30:13.2875380Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:13.2875685Z   File "/tmp/jenkins_pyg/tmp6y7m_ec7.py", line 182, in propagate
2025-11-03T16:30:13.2876088Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-11-03T16:30:13.2876643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:13.2877145Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:13.2877831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:13.2878357Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:13.2878811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-11-03T16:30:13.2879263Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-11-03T16:30:13.2879707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:13.2880481Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:13.2880881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-11-03T16:30:13.2881299Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:30:13.2881482Z 
2025-11-03T16:30:13.2881602Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2882001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2882357Z     return mod(*inputs)
2025-11-03T16:30:13.2882733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2883239Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2883497Z   File "/tmp/jenkins_pyg/tmp6y7m_ec7.py", line 225, in forward
2025-11-03T16:30:13.2883783Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:13.2884078Z   File "/tmp/jenkins_pyg/tmp6y7m_ec7.py", line 180, in propagate
2025-11-03T16:30:13.2884383Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:30:13.2884670Z   File "/tmp/jenkins_pyg/tmp6y7m_ec7.py", line 127, in _collect
2025-11-03T16:30:13.2884934Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:30:13.2885194Z   File "/tmp/jenkins_pyg/tmp6y7m_ec7.py", line 87, in _lift
2025-11-03T16:30:13.2885470Z     return src.index_select(self.node_dim, index)
2025-11-03T16:30:13.2885629Z 
2025-11-03T16:30:13.2885745Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2886132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2887554Z     return mod(*inputs)
2025-11-03T16:30:13.2888076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2888487Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2888744Z   File "/tmp/jenkins_pyg/tmpo1hmsng3.py", line 225, in forward
2025-11-03T16:30:13.2889034Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:13.2889324Z   File "/tmp/jenkins_pyg/tmpo1hmsng3.py", line 182, in propagate
2025-11-03T16:30:13.2889690Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-11-03T16:30:13.2890207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:13.2890686Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:13.2891128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:13.2891565Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:13.2891986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-11-03T16:30:13.2892416Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-11-03T16:30:13.2892843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:13.2893244Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:13.2893642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-11-03T16:30:13.2894058Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:30:13.2894235Z 
2025-11-03T16:30:13.2894350Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2894739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2895087Z     return mod(*inputs)
2025-11-03T16:30:13.2895451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2895903Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2896158Z   File "/tmp/jenkins_pyg/tmpqxm8izyi.py", line 225, in forward
2025-11-03T16:30:13.2896448Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:13.2896742Z   File "/tmp/jenkins_pyg/tmpqxm8izyi.py", line 182, in propagate
2025-11-03T16:30:13.2897111Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-11-03T16:30:13.2897738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:13.2898238Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:13.2898693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:13.2899134Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:13.2899558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-11-03T16:30:13.2900006Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-11-03T16:30:13.2900436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:13.2900843Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:13.2901248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-11-03T16:30:13.2901663Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:30:13.2901854Z 
2025-11-03T16:30:13.2901946Z cudagraph partition due to non gpu ops
2025-11-03T16:30:13.2902254Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2902653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2903024Z     return mod(*inputs)
2025-11-03T16:30:13.2903415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2903826Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2904089Z   File "/tmp/jenkins_pyg/tmp6y7m_ec7.py", line 229, in forward
2025-11-03T16:30:13.2904353Z     out = out + (1 + self.eps) * x_r
2025-11-03T16:30:13.2904491Z 
2025-11-03T16:30:13.2904605Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2905010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2905366Z     return mod(*inputs)
2025-11-03T16:30:13.2905745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2906143Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2906406Z   File "/tmp/jenkins_pyg/tmp6y7m_ec7.py", line 231, in forward
2025-11-03T16:30:13.2906661Z     return self.nn(out)
2025-11-03T16:30:13.2907020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:30:13.2907393Z     x = lin(x)
2025-11-03T16:30:13.2907745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:13.2908158Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:13.2908316Z 
2025-11-03T16:30:13.2908438Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2908844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2909202Z     return mod(*inputs)
2025-11-03T16:30:13.2909586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2909991Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2910253Z   File "/tmp/jenkins_pyg/tmp6y7m_ec7.py", line 231, in forward
2025-11-03T16:30:13.2910502Z     return self.nn(out)
2025-11-03T16:30:13.2910945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:30:13.2911318Z     x = self.act(x)
2025-11-03T16:30:13.2911423Z 
2025-11-03T16:30:13.2911547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2911951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2912408Z     return mod(*inputs)
2025-11-03T16:30:13.2912790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2913197Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2913467Z   File "/tmp/jenkins_pyg/tmp6y7m_ec7.py", line 231, in forward
2025-11-03T16:30:13.2913716Z     return self.nn(out)
2025-11-03T16:30:13.2914080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:30:13.2914476Z     x = self.lins[-1](x)
2025-11-03T16:30:13.2914855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:13.2915273Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:13.2915433Z 
2025-11-03T16:30:13.2915549Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2915941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2916310Z     return mod(*inputs)
2025-11-03T16:30:13.2916684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2917092Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2917397Z   File "/tmp/jenkins_pyg/tmpo1hmsng3.py", line 225, in forward
2025-11-03T16:30:13.2917774Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:13.2918085Z   File "/tmp/jenkins_pyg/tmpo1hmsng3.py", line 180, in propagate
2025-11-03T16:30:13.2918400Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:30:13.2918698Z   File "/tmp/jenkins_pyg/tmpo1hmsng3.py", line 127, in _collect
2025-11-03T16:30:13.2918967Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:30:13.2919235Z   File "/tmp/jenkins_pyg/tmpo1hmsng3.py", line 87, in _lift
2025-11-03T16:30:13.2919519Z     return src.index_select(self.node_dim, index)
2025-11-03T16:30:13.2919683Z 
2025-11-03T16:30:13.2919773Z cudagraph partition due to non gpu ops
2025-11-03T16:30:13.2920038Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2920426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2920781Z     return mod(*inputs)
2025-11-03T16:30:13.2921156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2921553Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2921811Z   File "/tmp/jenkins_pyg/tmpo1hmsng3.py", line 229, in forward
2025-11-03T16:30:13.2922077Z     out = out + (1 + self.eps) * x_r
2025-11-03T16:30:13.2922212Z 
2025-11-03T16:30:13.2922335Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2922717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2923089Z     return mod(*inputs)
2025-11-03T16:30:13.2923467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2923880Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2924131Z   File "/tmp/jenkins_pyg/tmpo1hmsng3.py", line 231, in forward
2025-11-03T16:30:13.2924392Z     return self.nn(out)
2025-11-03T16:30:13.2924759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:30:13.2925131Z     x = lin(x)
2025-11-03T16:30:13.2925470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:13.2925909Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:13.2926072Z 
2025-11-03T16:30:13.2926185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2926567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2926918Z     return mod(*inputs)
2025-11-03T16:30:13.2927276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2927672Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2927930Z   File "/tmp/jenkins_pyg/tmpo1hmsng3.py", line 231, in forward
2025-11-03T16:30:13.2928178Z     return self.nn(out)
2025-11-03T16:30:13.2928523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:30:13.2928886Z     x = self.act(x)
2025-11-03T16:30:13.2928997Z 
2025-11-03T16:30:13.2929106Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2929486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2929826Z     return mod(*inputs)
2025-11-03T16:30:13.2930175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2930570Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2930823Z   File "/tmp/jenkins_pyg/tmpo1hmsng3.py", line 231, in forward
2025-11-03T16:30:13.2931073Z     return self.nn(out)
2025-11-03T16:30:13.2931456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:30:13.2931824Z     x = self.lins[-1](x)
2025-11-03T16:30:13.2932181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:13.2932581Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:13.2932732Z 
2025-11-03T16:30:13.2932851Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2933222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2933562Z     return mod(*inputs)
2025-11-03T16:30:13.2933921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2934313Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2934566Z   File "/tmp/jenkins_pyg/tmpqxm8izyi.py", line 225, in forward
2025-11-03T16:30:13.2934841Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:13.2935134Z   File "/tmp/jenkins_pyg/tmpqxm8izyi.py", line 180, in propagate
2025-11-03T16:30:13.2935437Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:30:13.2935732Z   File "/tmp/jenkins_pyg/tmpqxm8izyi.py", line 127, in _collect
2025-11-03T16:30:13.2935987Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:30:13.2936239Z   File "/tmp/jenkins_pyg/tmpqxm8izyi.py", line 87, in _lift
2025-11-03T16:30:13.2936510Z     return src.index_select(self.node_dim, index)
2025-11-03T16:30:13.2936663Z 
2025-11-03T16:30:13.2936755Z cudagraph partition due to non gpu ops
2025-11-03T16:30:13.2936999Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2937377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2937718Z     return mod(*inputs)
2025-11-03T16:30:13.2938081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2938474Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2938720Z   File "/tmp/jenkins_pyg/tmpqxm8izyi.py", line 229, in forward
2025-11-03T16:30:13.2938976Z     out = out + (1 + self.eps) * x_r
2025-11-03T16:30:13.2939152Z 
2025-11-03T16:30:13.2939262Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2939684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2940121Z     return mod(*inputs)
2025-11-03T16:30:13.2940489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2940891Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2941158Z   File "/tmp/jenkins_pyg/tmpqxm8izyi.py", line 231, in forward
2025-11-03T16:30:13.2941469Z     return self.nn(out)
2025-11-03T16:30:13.2941810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-11-03T16:30:13.2942187Z     x = lin(x)
2025-11-03T16:30:13.2942535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:13.2942944Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:13.2943105Z 
2025-11-03T16:30:13.2943229Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2943609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2943959Z     return mod(*inputs)
2025-11-03T16:30:13.2944333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2944792Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2945043Z   File "/tmp/jenkins_pyg/tmpqxm8izyi.py", line 231, in forward
2025-11-03T16:30:13.2945298Z     return self.nn(out)
2025-11-03T16:30:13.2945701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:30:13.2946083Z     x = self.act(x)
2025-11-03T16:30:13.2946188Z 
2025-11-03T16:30:13.2946310Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:13.2946700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:13.2947060Z     return mod(*inputs)
2025-11-03T16:30:13.2947446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:13.2947861Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:13.2948114Z   File "/tmp/jenkins_pyg/tmpqxm8izyi.py", line 231, in forward
2025-11-03T16:30:13.2948373Z     return self.nn(out)
2025-11-03T16:30:13.2948734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:30:13.2949131Z     x = self.lins[-1](x)
2025-11-03T16:30:13.2949504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:13.2949921Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:13.2950086Z 
2025-11-03T16:30:22.2393233Z Compilation time (from dynamo_timed): 10.386026011
2025-11-03T16:30:22.2393547Z pass
2025-11-03T16:30:22.2393901Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:22.2394872Z TIMING: _recursive_pre_grad_passes:0.00399 _recursive_joint_graph_passes:0.14777 _recursive_post_grad_passes:0.01956 async_compile.wait:0.54402 code_gen:8.81223 inductor_compile:8.9223 backend_compile:9.90372 gc:0.00126 entire_frame_compile:10.38603 total_wall_time:10.38603
2025-11-03T16:30:22.2395883Z STATS: call_* op count: 52 | FakeTensorMode.__torch_dispatch__:864 | FakeTensor.__torch_dispatch__:296 | ProxyTorchDispatchMode.__torch_dispatch__:189
2025-11-03T16:30:22.2396424Z Dynamo produced 1 graphs covering 52 ops with 0 graph breaks (0 unique)
2025-11-03T16:30:23.9354075Z /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.
2025-11-03T16:30:23.9356091Z   import pynvml  # type: ignore[import]
2025-11-03T16:30:26.1665073Z 
2025-11-03T16:30:27.2543495Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:30:27.2543800Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:30:27.2544044Z cpu  eval  basic_gnn_sage                     
2025-11-03T16:30:27.3395741Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:27.3855239Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:27.4296979Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:28.8770456Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8771009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8771411Z     return mod(*inputs)
2025-11-03T16:30:28.8771856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8772299Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8772585Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 228, in forward
2025-11-03T16:30:28.8772886Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8773197Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 182, in propagate
2025-11-03T16:30:28.8773606Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8774158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8775049Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8775566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8776034Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8776495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8776955Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8777410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8777833Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8778255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-11-03T16:30:28.8778683Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:30:28.8778871Z 
2025-11-03T16:30:28.8779005Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8779455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8779831Z     return mod(*inputs)
2025-11-03T16:30:28.8780219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8780636Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8780905Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 228, in forward
2025-11-03T16:30:28.8781194Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8781489Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 180, in propagate
2025-11-03T16:30:28.8781793Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:30:28.8782112Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 127, in _collect
2025-11-03T16:30:28.8782398Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:30:28.8782667Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 87, in _lift
2025-11-03T16:30:28.8782941Z     return src.index_select(self.node_dim, index)
2025-11-03T16:30:28.8783111Z 
2025-11-03T16:30:28.8783229Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8783762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8784144Z     return mod(*inputs)
2025-11-03T16:30:28.8784539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8784977Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8785242Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 228, in forward
2025-11-03T16:30:28.8785532Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8785826Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 182, in propagate
2025-11-03T16:30:28.8786209Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8786753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8787250Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8787716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8788173Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8788626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8789063Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8789501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8789909Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8790388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:30:28.8790819Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:30:28.8791013Z 
2025-11-03T16:30:28.8791131Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8791531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8791893Z     return mod(*inputs)
2025-11-03T16:30:28.8792265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8792675Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8792943Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 228, in forward
2025-11-03T16:30:28.8793234Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8793529Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 182, in propagate
2025-11-03T16:30:28.8793897Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8794525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8795102Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8795554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8795988Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8796411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8796853Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8797293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8797883Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8798307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:30:28.8798734Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:30:28.8798933Z 
2025-11-03T16:30:28.8799111Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8799512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8799868Z     return mod(*inputs)
2025-11-03T16:30:28.8800231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8800637Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8800903Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 228, in forward
2025-11-03T16:30:28.8801195Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8801491Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 182, in propagate
2025-11-03T16:30:28.8801856Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8802386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8802872Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8803317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8803750Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8804169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8804601Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8805029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8805481Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8805890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-11-03T16:30:28.8806315Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:30:28.8806501Z 
2025-11-03T16:30:28.8806619Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8807022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8807399Z     return mod(*inputs)
2025-11-03T16:30:28.8807767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8808178Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8808446Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 228, in forward
2025-11-03T16:30:28.8808738Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8809031Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 182, in propagate
2025-11-03T16:30:28.8809405Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8809941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8810434Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8810881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8811317Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8811752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8812196Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8812621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8813020Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8813413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:30:28.8813874Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:30:28.8814061Z 
2025-11-03T16:30:28.8814174Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8814558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8814902Z     return mod(*inputs)
2025-11-03T16:30:28.8815257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8815650Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8815906Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 228, in forward
2025-11-03T16:30:28.8816188Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8816467Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 182, in propagate
2025-11-03T16:30:28.8816831Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8817338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8817811Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8818255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8818699Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8819116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8819539Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8820039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8820435Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8820821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:30:28.8821242Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:30:28.8821426Z 
2025-11-03T16:30:28.8821539Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8821927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8822267Z     return mod(*inputs)
2025-11-03T16:30:28.8822633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8823031Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8823293Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 228, in forward
2025-11-03T16:30:28.8823585Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8823867Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 182, in propagate
2025-11-03T16:30:28.8824229Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8824739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8825233Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8825661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8826082Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8826497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8826921Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8827339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8827725Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8828118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-11-03T16:30:28.8828569Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-11-03T16:30:28.8828739Z 
2025-11-03T16:30:28.8828863Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8829247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8829581Z     return mod(*inputs)
2025-11-03T16:30:28.8829944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8830342Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8830604Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 228, in forward
2025-11-03T16:30:28.8830884Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8831161Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 182, in propagate
2025-11-03T16:30:28.8831520Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8832031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8832492Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8832918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8833350Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8833774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8834252Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8834688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8835088Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8835510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:30:28.8835951Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:30:28.8836135Z 
2025-11-03T16:30:28.8836261Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8836660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8837008Z     return mod(*inputs)
2025-11-03T16:30:28.8837387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8837921Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8838199Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 228, in forward
2025-11-03T16:30:28.8838484Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8838791Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 182, in propagate
2025-11-03T16:30:28.8839173Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8839712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8840217Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8840662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8841116Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8841555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8842006Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8842443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8842984Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8843398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-11-03T16:30:28.8843845Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-11-03T16:30:28.8844033Z 
2025-11-03T16:30:28.8844136Z cudagraph partition due to non gpu ops
2025-11-03T16:30:28.8844370Z cudagraph partition due to non gpu ops
2025-11-03T16:30:28.8844635Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8845035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8845400Z     return mod(*inputs)
2025-11-03T16:30:28.8845780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8846181Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8846446Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 228, in forward
2025-11-03T16:30:28.8846751Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8847040Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 182, in propagate
2025-11-03T16:30:28.8847397Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8847913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8848407Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8848845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8849318Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8849729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8850155Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8850578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8850973Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8851360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-11-03T16:30:28.8851764Z     return out / broadcast(count, out, dim)
2025-11-03T16:30:28.8851915Z 
2025-11-03T16:30:28.8852027Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8852408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8852752Z     return mod(*inputs)
2025-11-03T16:30:28.8853104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8853496Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8853750Z   File "/tmp/jenkins_pyg/tmph3bt516c.py", line 229, in forward
2025-11-03T16:30:28.8854012Z     out = self.lin_l(out)
2025-11-03T16:30:28.8854377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:28.8854773Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:28.8854935Z 
2025-11-03T16:30:28.8855023Z cudagraph partition due to non gpu ops
2025-11-03T16:30:28.8855278Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8855660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8855998Z     return mod(*inputs)
2025-11-03T16:30:28.8856367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8856771Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8857036Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 228, in forward
2025-11-03T16:30:28.8857335Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8857670Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 180, in propagate
2025-11-03T16:30:28.8857978Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:30:28.8858290Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 127, in _collect
2025-11-03T16:30:28.8858557Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:30:28.8858812Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 87, in _lift
2025-11-03T16:30:28.8859094Z     return src.index_select(self.node_dim, index)
2025-11-03T16:30:28.8859261Z 
2025-11-03T16:30:28.8859350Z cudagraph partition due to non gpu ops
2025-11-03T16:30:28.8859580Z cudagraph partition due to non gpu ops
2025-11-03T16:30:28.8859835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8860238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8860583Z     return mod(*inputs)
2025-11-03T16:30:28.8860949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8861349Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8861596Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 228, in forward
2025-11-03T16:30:28.8861881Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8862168Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 182, in propagate
2025-11-03T16:30:28.8862531Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8863028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8863547Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8863982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8864412Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8864832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8865265Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8865704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8866123Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8866515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-11-03T16:30:28.8867160Z     return out / broadcast(count, out, dim)
2025-11-03T16:30:28.8867323Z 
2025-11-03T16:30:28.8867440Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8867830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8868177Z     return mod(*inputs)
2025-11-03T16:30:28.8868553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8868968Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8869228Z   File "/tmp/jenkins_pyg/tmprrrv9rli.py", line 229, in forward
2025-11-03T16:30:28.8869489Z     out = self.lin_l(out)
2025-11-03T16:30:28.8869862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:28.8870272Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:28.8870427Z 
2025-11-03T16:30:28.8870539Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8870927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8871282Z     return mod(*inputs)
2025-11-03T16:30:28.8871650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-11-03T16:30:28.8872158Z     x = self.act(x)
2025-11-03T16:30:28.8872270Z 
2025-11-03T16:30:28.8872358Z cudagraph partition due to non gpu ops
2025-11-03T16:30:28.8872612Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8872992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8873499Z     return mod(*inputs)
2025-11-03T16:30:28.8873871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8874287Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8874559Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 228, in forward
2025-11-03T16:30:28.8874862Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8875154Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 180, in propagate
2025-11-03T16:30:28.8875467Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-11-03T16:30:28.8875777Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 127, in _collect
2025-11-03T16:30:28.8876052Z     x_j = self._lift(x_j, edge_def, j)
2025-11-03T16:30:28.8876306Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 87, in _lift
2025-11-03T16:30:28.8876592Z     return src.index_select(self.node_dim, index)
2025-11-03T16:30:28.8876758Z 
2025-11-03T16:30:28.8876847Z cudagraph partition due to non gpu ops
2025-11-03T16:30:28.8877083Z cudagraph partition due to non gpu ops
2025-11-03T16:30:28.8877342Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8877803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8878166Z     return mod(*inputs)
2025-11-03T16:30:28.8878620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8879037Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8879297Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 228, in forward
2025-11-03T16:30:28.8879597Z     out = self.propagate(edge_index, x=x, size=size)
2025-11-03T16:30:28.8879897Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 182, in propagate
2025-11-03T16:30:28.8880274Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-11-03T16:30:28.8880805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:30:28.8881287Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:30:28.8881740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:30:28.8882187Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:30:28.8882620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-11-03T16:30:28.8883057Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-11-03T16:30:28.8883486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:30:28.8883893Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:30:28.8884301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-11-03T16:30:28.8884708Z     return out / broadcast(count, out, dim)
2025-11-03T16:30:28.8884857Z 
2025-11-03T16:30:28.8884974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8885368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8885728Z     return mod(*inputs)
2025-11-03T16:30:28.8886104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:30:28.8886521Z     x = self.convs[i](x, edge_index)
2025-11-03T16:30:28.8886778Z   File "/tmp/jenkins_pyg/tmpeab0z1vx.py", line 229, in forward
2025-11-03T16:30:28.8887092Z     out = self.lin_l(out)
2025-11-03T16:30:28.8887466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:30:28.8887881Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:30:28.8888038Z 
2025-11-03T16:30:28.8888154Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:28.8888548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:28.8888904Z     return mod(*inputs)
2025-11-03T16:30:28.8889281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-11-03T16:30:28.8889689Z     x = self.act(x)
2025-11-03T16:30:28.8889794Z 
2025-11-03T16:30:28.8889884Z cudagraph partition due to non gpu ops
2025-11-03T16:30:37.6792856Z Compilation time (from dynamo_timed): 10.148255743
2025-11-03T16:30:37.6793176Z pass
2025-11-03T16:30:37.6793538Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:37.6794396Z TIMING: _recursive_pre_grad_passes:0.00385 _recursive_joint_graph_passes:0.14788 _recursive_post_grad_passes:0.03454 async_compile.wait:0.50246 code_gen:8.67596 inductor_compile:8.80632 backend_compile:9.75356 gc:0.00022 entire_frame_compile:10.14826 total_wall_time:10.14826
2025-11-03T16:30:37.6795392Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:922 | FakeTensor.__torch_dispatch__:273 | ProxyTorchDispatchMode.__torch_dispatch__:222
2025-11-03T16:30:37.6795929Z Dynamo produced 1 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-11-03T16:30:39.3241775Z /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.
2025-11-03T16:30:39.3242700Z   import pynvml  # type: ignore[import]
2025-11-03T16:30:41.5836341Z 
2025-11-03T16:30:41.8038511Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:30:41.8038820Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:30:41.8039055Z cpu  eval  dcgan                              
2025-11-03T16:30:41.8199223Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:41.8280210Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:41.8330106Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:43.8155744Z cudagraph partition due to non gpu ops
2025-11-03T16:30:43.8156078Z cudagraph partition due to non gpu ops
2025-11-03T16:30:43.8156315Z cudagraph partition due to non gpu ops
2025-11-03T16:30:43.8156552Z cudagraph partition due to non gpu ops
2025-11-03T16:30:43.8156792Z cudagraph partition due to non gpu ops
2025-11-03T16:30:43.8157051Z cudagraph partition due to non gpu ops
2025-11-03T16:30:43.8157328Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:43.8157855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:43.8158236Z     return mod(*inputs)
2025-11-03T16:30:43.8158544Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:30:43.8158890Z     return self.main(input)
2025-11-03T16:30:43.8159032Z 
2025-11-03T16:30:43.8159156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:43.8159577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:43.8159957Z     return mod(*inputs)
2025-11-03T16:30:43.8160257Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:30:43.8160589Z     return self.main(input)
2025-11-03T16:30:43.8160715Z 
2025-11-03T16:30:43.8161219Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:43.8161639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:43.8162001Z     return mod(*inputs)
2025-11-03T16:30:43.8162305Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:30:43.8162661Z     return self.main(input)
2025-11-03T16:30:43.8162785Z 
2025-11-03T16:30:43.8162911Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:43.8163334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:43.8163693Z     return mod(*inputs)
2025-11-03T16:30:43.8163987Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:30:43.8164318Z     return self.main(input)
2025-11-03T16:30:43.8164437Z 
2025-11-03T16:30:43.8164547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:43.8164932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:43.8165340Z     return mod(*inputs)
2025-11-03T16:30:43.8165621Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:30:43.8165974Z     return self.main(input)
2025-11-03T16:30:43.8166105Z 
2025-11-03T16:30:43.8166214Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:43.8166603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:43.8167143Z     return mod(*inputs)
2025-11-03T16:30:43.8167443Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:30:43.8167880Z     return self.main(input)
2025-11-03T16:30:43.8168013Z 
2025-11-03T16:30:43.8168128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:43.8168527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:43.8168895Z     return mod(*inputs)
2025-11-03T16:30:43.8169182Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-11-03T16:30:43.8169504Z     return self.main(input)
2025-11-03T16:30:43.8169633Z 
2025-11-03T16:30:52.7847376Z Compilation time (from dynamo_timed): 10.524722329
2025-11-03T16:30:52.7854114Z pass
2025-11-03T16:30:52.7859257Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:52.7864558Z TIMING: _recursive_pre_grad_passes:0.00343 _recursive_joint_graph_passes:0.2988 _recursive_post_grad_passes:0.01834 async_compile.wait:0.66181 code_gen:8.94512 inductor_compile:9.09041 backend_compile:10.15355 gc:0.00163 entire_frame_compile:10.52472 total_wall_time:10.52472
2025-11-03T16:30:52.7866125Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:810 | FakeTensor.__torch_dispatch__:371 | ProxyTorchDispatchMode.__torch_dispatch__:192
2025-11-03T16:30:52.7866715Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-11-03T16:30:54.4117751Z /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.
2025-11-03T16:30:54.4119207Z   import pynvml  # type: ignore[import]
2025-11-03T16:30:56.6538228Z 
2025-11-03T16:30:58.3285180Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:30:58.3285492Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:30:58.3293850Z cpu  eval  demucs                             
2025-11-03T16:30:59.5930088Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:00.1813887Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:00.7612819Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:02.9421460Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:02.9426077Z    File "/torchbench/torchbenchmark/models/demucs/__init__.py", line 32, in forward
2025-11-03T16:31:02.9427823Z     mix = sources.sum(dim=1)
2025-11-03T16:31:02.9428096Z 
2025-11-03T16:31:11.7788542Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7792038Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7792466Z     x = encode(x)
2025-11-03T16:31:11.7792576Z 
2025-11-03T16:31:11.7792703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7793115Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7793438Z     x = encode(x)
2025-11-03T16:31:11.7793541Z 
2025-11-03T16:31:11.7793664Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7794037Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7794382Z     x = encode(x)
2025-11-03T16:31:11.7794487Z 
2025-11-03T16:31:11.7794599Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7794955Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7795272Z     x = encode(x)
2025-11-03T16:31:11.7795368Z 
2025-11-03T16:31:11.7795477Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7795843Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7796165Z     x = encode(x)
2025-11-03T16:31:11.7796264Z 
2025-11-03T16:31:11.7796381Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7797234Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7797791Z     x = encode(x)
2025-11-03T16:31:11.7797938Z 
2025-11-03T16:31:11.7798054Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7798437Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7798789Z     x = encode(x)
2025-11-03T16:31:11.7798890Z 
2025-11-03T16:31:11.7798998Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7799381Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7799709Z     x = encode(x)
2025-11-03T16:31:11.7799804Z 
2025-11-03T16:31:11.7799919Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7800260Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7800584Z     x = encode(x)
2025-11-03T16:31:11.7800692Z 
2025-11-03T16:31:11.7800800Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7801153Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7801475Z     x = encode(x)
2025-11-03T16:31:11.7801574Z 
2025-11-03T16:31:11.7801682Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7802049Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7802369Z     x = encode(x)
2025-11-03T16:31:11.7802462Z 
2025-11-03T16:31:11.7802577Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7802940Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7803296Z     x = encode(x)
2025-11-03T16:31:11.7803397Z 
2025-11-03T16:31:11.7803505Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7803882Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7804199Z     x = encode(x)
2025-11-03T16:31:11.7804298Z 
2025-11-03T16:31:11.7804410Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7804765Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7805194Z     x = encode(x)
2025-11-03T16:31:11.7805288Z 
2025-11-03T16:31:11.7805403Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7805761Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7806068Z     x = encode(x)
2025-11-03T16:31:11.7806172Z 
2025-11-03T16:31:11.7806280Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7806636Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7806951Z     x = encode(x)
2025-11-03T16:31:11.7807044Z 
2025-11-03T16:31:11.7807151Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7807507Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7807825Z     x = encode(x)
2025-11-03T16:31:11.7807918Z 
2025-11-03T16:31:11.7808030Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7808391Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7808695Z     x = encode(x)
2025-11-03T16:31:11.7808795Z 
2025-11-03T16:31:11.7808903Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7809252Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7809565Z     x = encode(x)
2025-11-03T16:31:11.7809659Z 
2025-11-03T16:31:11.7809765Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7810113Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7810424Z     x = encode(x)
2025-11-03T16:31:11.7810512Z 
2025-11-03T16:31:11.7810674Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7811020Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7811327Z     x = encode(x)
2025-11-03T16:31:11.7811426Z 
2025-11-03T16:31:11.7811536Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7811886Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7812209Z     x = encode(x)
2025-11-03T16:31:11.7812305Z 
2025-11-03T16:31:11.7812420Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7812754Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7813098Z     x = encode(x)
2025-11-03T16:31:11.7813195Z 
2025-11-03T16:31:11.7813311Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:11.7813672Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-11-03T16:31:11.7813980Z     x = encode(x)
2025-11-03T16:31:11.7814084Z 
2025-11-03T16:31:13.7576668Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7577468Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7577900Z     x = x + skip
2025-11-03T16:31:13.7578005Z 
2025-11-03T16:31:13.7578115Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7578523Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7578886Z     x = decode(x)
2025-11-03T16:31:13.7578982Z 
2025-11-03T16:31:13.7579094Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7579486Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7579840Z     x = decode(x)
2025-11-03T16:31:13.7579939Z 
2025-11-03T16:31:13.7580053Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7580443Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7580788Z     x = decode(x)
2025-11-03T16:31:13.7581369Z 
2025-11-03T16:31:13.7581470Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7581863Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7582218Z     x = x + skip
2025-11-03T16:31:13.7582312Z 
2025-11-03T16:31:13.7582419Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7582804Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7583144Z     x = decode(x)
2025-11-03T16:31:13.7583271Z 
2025-11-03T16:31:13.7583371Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7583760Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7584106Z     x = decode(x)
2025-11-03T16:31:13.7584193Z 
2025-11-03T16:31:13.7584299Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7584702Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7585028Z     x = decode(x)
2025-11-03T16:31:13.7585118Z 
2025-11-03T16:31:13.7585213Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7585588Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7585931Z     x = x + skip
2025-11-03T16:31:13.7586021Z 
2025-11-03T16:31:13.7586116Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7586595Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7586947Z     x = decode(x)
2025-11-03T16:31:13.7587038Z 
2025-11-03T16:31:13.7587144Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7587532Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7587889Z     x = decode(x)
2025-11-03T16:31:13.7587984Z 
2025-11-03T16:31:13.7588079Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7588456Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7588798Z     x = decode(x)
2025-11-03T16:31:13.7588882Z 
2025-11-03T16:31:13.7588985Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7589352Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7589690Z     x = x + skip
2025-11-03T16:31:13.7589784Z 
2025-11-03T16:31:13.7589885Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7590257Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7590588Z     x = decode(x)
2025-11-03T16:31:13.7590685Z 
2025-11-03T16:31:13.7590781Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7591153Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7591488Z     x = decode(x)
2025-11-03T16:31:13.7591573Z 
2025-11-03T16:31:13.7591677Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7592045Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7592388Z     x = decode(x)
2025-11-03T16:31:13.7592481Z 
2025-11-03T16:31:13.7592576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7592952Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7593289Z     x = x + skip
2025-11-03T16:31:13.7593376Z 
2025-11-03T16:31:13.7593472Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7593895Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7594229Z     x = decode(x)
2025-11-03T16:31:13.7594315Z 
2025-11-03T16:31:13.7594420Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7594829Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7595179Z     x = decode(x)
2025-11-03T16:31:13.7595267Z 
2025-11-03T16:31:13.7595371Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7595761Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7596103Z     x = decode(x)
2025-11-03T16:31:13.7596201Z 
2025-11-03T16:31:13.7596301Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7596682Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7597046Z     x = x + skip
2025-11-03T16:31:13.7597134Z 
2025-11-03T16:31:13.7597243Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7597829Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7598222Z     x = decode(x)
2025-11-03T16:31:13.7598319Z 
2025-11-03T16:31:13.7598434Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7598854Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7599224Z     x = decode(x)
2025-11-03T16:31:13.7599329Z 
2025-11-03T16:31:13.7599490Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:13.7599880Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-11-03T16:31:13.7600234Z     x = decode(x)
2025-11-03T16:31:13.7600324Z 
2025-11-03T16:31:15.3672401Z Compilation time (from dynamo_timed): 13.477718971
2025-11-03T16:31:15.3682130Z pass
2025-11-03T16:31:15.3682672Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:15.3683661Z TIMING: gc:0.00365 entire_frame_compile:13.47772 _recursive_pre_grad_passes:0.00467 _recursive_joint_graph_passes:0.1342 _recursive_post_grad_passes:0.02011 async_compile.wait:1.82435 code_gen:9.94358 inductor_compile:10.29986 backend_compile:11.39759 total_wall_time:13.47772
2025-11-03T16:31:15.3694635Z STATS: call_* op count: 62 | FakeTensorMode.__torch_dispatch__:2106 | ProxyTorchDispatchMode.__torch_dispatch__:190 | FakeTensor.__torch_dispatch__:383
2025-11-03T16:31:15.3695289Z Dynamo produced 3 graphs covering 62 ops with 3 graph breaks (1 unique)
2025-11-03T16:31:17.0186854Z /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.
2025-11-03T16:31:17.0187785Z   import pynvml  # type: ignore[import]
2025-11-03T16:31:19.2143251Z 
2025-11-03T16:31:19.4180795Z 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
2025-11-03T16:31:19.4366540Z 
2025-11-03T16:31:19.4366878Z 
2025-11-03T16:31:19.4977370Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-11-03T16:31:19.4977699Z 100% 30.8M/30.8M [00:00<00:00, 533MB/s]
2025-11-03T16:31:19.8438369Z 
2025-11-03T16:31:19.8439082Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:31:19.8470433Z cpu  eval  densenet121                        
2025-11-03T16:31:20.3031428Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:20.4588634Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:20.6090367Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:38.3620724Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3622490Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3622862Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3628371Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3630557Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3630998Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3631364Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3631704Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3632056Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3632298Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3632649Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3633633Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3633994Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3634254Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3634491Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3634746Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3634986Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3635228Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3635438Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3635666Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3635884Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3636125Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3636353Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3637018Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3637271Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3637509Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3637928Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3638155Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3638387Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3638618Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3638852Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3639347Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3639571Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3639790Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3640015Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3640225Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3640446Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3640660Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3640880Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3641090Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3641308Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3641525Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3641744Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3641958Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3642177Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3642394Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3642611Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3642825Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3643044Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3643265Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3643483Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3643693Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3643916Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3644140Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3644360Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3644575Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3644794Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3645019Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3645372Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3645589Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3645866Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3646292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3646678Z     return mod(*inputs)
2025-11-03T16:31:38.3647072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3647460Z     features = self.features(x)
2025-11-03T16:31:38.3647604Z 
2025-11-03T16:31:38.3647725Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3648134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3648508Z     return mod(*inputs)
2025-11-03T16:31:38.3648864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3649251Z     features = self.features(x)
2025-11-03T16:31:38.3649389Z 
2025-11-03T16:31:38.3649507Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3649904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3650264Z     return mod(*inputs)
2025-11-03T16:31:38.3650610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3650998Z     features = self.features(x)
2025-11-03T16:31:38.3651134Z 
2025-11-03T16:31:38.3651251Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3651691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3652038Z     return mod(*inputs)
2025-11-03T16:31:38.3652376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3652755Z     features = self.features(x)
2025-11-03T16:31:38.3653119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3653501Z     new_features = layer(features)
2025-11-03T16:31:38.3653872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3654283Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3654713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3655240Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3655494Z 
2025-11-03T16:31:38.3655622Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3656014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3656386Z     return mod(*inputs)
2025-11-03T16:31:38.3656754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3657156Z     features = self.features(x)
2025-11-03T16:31:38.3657527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3657906Z     new_features = layer(features)
2025-11-03T16:31:38.3658294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3658746Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3658952Z 
2025-11-03T16:31:38.3659076Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3659456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3659832Z     return mod(*inputs)
2025-11-03T16:31:38.3660228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3660620Z     features = self.features(x)
2025-11-03T16:31:38.3660994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3661377Z     new_features = layer(features)
2025-11-03T16:31:38.3661759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3662218Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3662428Z 
2025-11-03T16:31:38.3662547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3662934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3663279Z     return mod(*inputs)
2025-11-03T16:31:38.3663630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3664015Z     features = self.features(x)
2025-11-03T16:31:38.3664385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3664758Z     new_features = layer(features)
2025-11-03T16:31:38.3665138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3665563Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3665993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3666444Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3666604Z 
2025-11-03T16:31:38.3666723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3667442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3667804Z     return mod(*inputs)
2025-11-03T16:31:38.3668164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3668550Z     features = self.features(x)
2025-11-03T16:31:38.3668928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3669320Z     new_features = layer(features)
2025-11-03T16:31:38.3669703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3670126Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3670558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3671065Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3671335Z 
2025-11-03T16:31:38.3671459Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3671864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3672217Z     return mod(*inputs)
2025-11-03T16:31:38.3672567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3672955Z     features = self.features(x)
2025-11-03T16:31:38.3673325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3673714Z     new_features = layer(features)
2025-11-03T16:31:38.3674088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3674511Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3674943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3675448Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3675774Z 
2025-11-03T16:31:38.3675898Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3676289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3676649Z     return mod(*inputs)
2025-11-03T16:31:38.3677009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3677404Z     features = self.features(x)
2025-11-03T16:31:38.3677845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3678250Z     new_features = layer(features)
2025-11-03T16:31:38.3678630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3679099Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3679311Z 
2025-11-03T16:31:38.3679435Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3679826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3680169Z     return mod(*inputs)
2025-11-03T16:31:38.3680529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3680915Z     features = self.features(x)
2025-11-03T16:31:38.3681287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3681675Z     new_features = layer(features)
2025-11-03T16:31:38.3682106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3682564Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3682772Z 
2025-11-03T16:31:38.3682895Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3683294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3683639Z     return mod(*inputs)
2025-11-03T16:31:38.3683996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3684378Z     features = self.features(x)
2025-11-03T16:31:38.3684752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3685130Z     new_features = layer(features)
2025-11-03T16:31:38.3685514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3685936Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3686363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3686782Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3686937Z 
2025-11-03T16:31:38.3687051Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3687440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3687797Z     return mod(*inputs)
2025-11-03T16:31:38.3688143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3688506Z     features = self.features(x)
2025-11-03T16:31:38.3688872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3689257Z     new_features = layer(features)
2025-11-03T16:31:38.3689627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3690057Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3690523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3691013Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3691261Z 
2025-11-03T16:31:38.3691374Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3691769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3692122Z     return mod(*inputs)
2025-11-03T16:31:38.3692461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3692840Z     features = self.features(x)
2025-11-03T16:31:38.3693212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3693607Z     new_features = layer(features)
2025-11-03T16:31:38.3693982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3694398Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3694813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3695304Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3695543Z 
2025-11-03T16:31:38.3695664Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3696038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3696380Z     return mod(*inputs)
2025-11-03T16:31:38.3696774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3697154Z     features = self.features(x)
2025-11-03T16:31:38.3697524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3697908Z     new_features = layer(features)
2025-11-03T16:31:38.3698290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3698743Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3698953Z 
2025-11-03T16:31:38.3699081Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3699469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3699811Z     return mod(*inputs)
2025-11-03T16:31:38.3700171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3700564Z     features = self.features(x)
2025-11-03T16:31:38.3700937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3701314Z     new_features = layer(features)
2025-11-03T16:31:38.3701696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3702158Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3702364Z 
2025-11-03T16:31:38.3702487Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3702878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3703223Z     return mod(*inputs)
2025-11-03T16:31:38.3703579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3703963Z     features = self.features(x)
2025-11-03T16:31:38.3704338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3704713Z     new_features = layer(features)
2025-11-03T16:31:38.3705086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3705527Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3705940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3706343Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3706492Z 
2025-11-03T16:31:38.3706604Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3706981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3707325Z     return mod(*inputs)
2025-11-03T16:31:38.3707680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3708063Z     features = self.features(x)
2025-11-03T16:31:38.3708417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3708795Z     new_features = layer(features)
2025-11-03T16:31:38.3709161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3709565Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3709971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3710455Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3710698Z 
2025-11-03T16:31:38.3710808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3711217Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3711561Z     return mod(*inputs)
2025-11-03T16:31:38.3711911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3712318Z     features = self.features(x)
2025-11-03T16:31:38.3712699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3713088Z     new_features = layer(features)
2025-11-03T16:31:38.3713476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3713919Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3714360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3714885Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3715140Z 
2025-11-03T16:31:38.3715271Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3715666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3716024Z     return mod(*inputs)
2025-11-03T16:31:38.3716397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3716794Z     features = self.features(x)
2025-11-03T16:31:38.3717180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3717653Z     new_features = layer(features)
2025-11-03T16:31:38.3718078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3718547Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3718758Z 
2025-11-03T16:31:38.3718893Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3719294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3719641Z     return mod(*inputs)
2025-11-03T16:31:38.3719999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3720423Z     features = self.features(x)
2025-11-03T16:31:38.3720794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3721174Z     new_features = layer(features)
2025-11-03T16:31:38.3721549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3722005Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3722213Z 
2025-11-03T16:31:38.3722336Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3722733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3723075Z     return mod(*inputs)
2025-11-03T16:31:38.3723432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3723821Z     features = self.features(x)
2025-11-03T16:31:38.3724197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3724588Z     new_features = layer(features)
2025-11-03T16:31:38.3724949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3725343Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3725735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3726114Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3726292Z 
2025-11-03T16:31:38.3726399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3726757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3727083Z     return mod(*inputs)
2025-11-03T16:31:38.3727419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3727774Z     features = self.features(x)
2025-11-03T16:31:38.3728108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3728461Z     new_features = layer(features)
2025-11-03T16:31:38.3728807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3729195Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3729582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3730041Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3730271Z 
2025-11-03T16:31:38.3730378Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3730742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3731070Z     return mod(*inputs)
2025-11-03T16:31:38.3731390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3731742Z     features = self.features(x)
2025-11-03T16:31:38.3732087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3732440Z     new_features = layer(features)
2025-11-03T16:31:38.3732791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3733173Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3733564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3734019Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3734276Z 
2025-11-03T16:31:38.3734389Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3734752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3735074Z     return mod(*inputs)
2025-11-03T16:31:38.3735407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3735764Z     features = self.features(x)
2025-11-03T16:31:38.3736119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3736476Z     new_features = layer(features)
2025-11-03T16:31:38.3736832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3737254Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3737451Z 
2025-11-03T16:31:38.3737567Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3737934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3738255Z     return mod(*inputs)
2025-11-03T16:31:38.3738594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3738954Z     features = self.features(x)
2025-11-03T16:31:38.3739322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3739682Z     new_features = layer(features)
2025-11-03T16:31:38.3740069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3740479Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3740687Z 
2025-11-03T16:31:38.3740794Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3741159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3741484Z     return mod(*inputs)
2025-11-03T16:31:38.3741811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3742157Z     features = self.features(x)
2025-11-03T16:31:38.3742498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3742859Z     new_features = layer(features)
2025-11-03T16:31:38.3743209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3743595Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3743980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3744362Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3744512Z 
2025-11-03T16:31:38.3744619Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3744979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3745293Z     return mod(*inputs)
2025-11-03T16:31:38.3745622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3745986Z     features = self.features(x)
2025-11-03T16:31:38.3746316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3746657Z     new_features = layer(features)
2025-11-03T16:31:38.3746986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3747370Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3747758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3748305Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3748527Z 
2025-11-03T16:31:38.3748637Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3748988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3749312Z     return mod(*inputs)
2025-11-03T16:31:38.3749637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3749993Z     features = self.features(x)
2025-11-03T16:31:38.3750340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3750687Z     new_features = layer(features)
2025-11-03T16:31:38.3751034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3751429Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3751820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3752269Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3752499Z 
2025-11-03T16:31:38.3752604Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3752977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3753323Z     return mod(*inputs)
2025-11-03T16:31:38.3753702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3754074Z     features = self.features(x)
2025-11-03T16:31:38.3754440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3754822Z     new_features = layer(features)
2025-11-03T16:31:38.3755190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3755626Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3755839Z 
2025-11-03T16:31:38.3755952Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3756335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3756679Z     return mod(*inputs)
2025-11-03T16:31:38.3757025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3757399Z     features = self.features(x)
2025-11-03T16:31:38.3757859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3758259Z     new_features = layer(features)
2025-11-03T16:31:38.3758644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3759088Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3759299Z 
2025-11-03T16:31:38.3759389Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3759652Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3760041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3760397Z     return mod(*inputs)
2025-11-03T16:31:38.3760741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3761125Z     features = self.features(x)
2025-11-03T16:31:38.3761491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-11-03T16:31:38.3761869Z     return torch.cat(features, 1)
2025-11-03T16:31:38.3762045Z 
2025-11-03T16:31:38.3762161Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3762536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3762882Z     return mod(*inputs)
2025-11-03T16:31:38.3763231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3763602Z     features = self.features(x)
2025-11-03T16:31:38.3763727Z 
2025-11-03T16:31:38.3763838Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3764213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3764558Z     return mod(*inputs)
2025-11-03T16:31:38.3764917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3765301Z     features = self.features(x)
2025-11-03T16:31:38.3765425Z 
2025-11-03T16:31:38.3765539Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3765914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3766255Z     return mod(*inputs)
2025-11-03T16:31:38.3766600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3767146Z     features = self.features(x)
2025-11-03T16:31:38.3767521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3767909Z     new_features = layer(features)
2025-11-03T16:31:38.3768362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3768783Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3769208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3769713Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3769967Z 
2025-11-03T16:31:38.3770083Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3770474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3770828Z     return mod(*inputs)
2025-11-03T16:31:38.3771178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3771567Z     features = self.features(x)
2025-11-03T16:31:38.3771948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3772343Z     new_features = layer(features)
2025-11-03T16:31:38.3772717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3773170Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3773392Z 
2025-11-03T16:31:38.3773509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3773903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3774252Z     return mod(*inputs)
2025-11-03T16:31:38.3774610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3774977Z     features = self.features(x)
2025-11-03T16:31:38.3775326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3775697Z     new_features = layer(features)
2025-11-03T16:31:38.3776051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3776478Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3776730Z 
2025-11-03T16:31:38.3776834Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3777194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3777521Z     return mod(*inputs)
2025-11-03T16:31:38.3777843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3778202Z     features = self.features(x)
2025-11-03T16:31:38.3778544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3778900Z     new_features = layer(features)
2025-11-03T16:31:38.3779246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3779633Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3780032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3780421Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3780565Z 
2025-11-03T16:31:38.3780680Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3781035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3781362Z     return mod(*inputs)
2025-11-03T16:31:38.3781693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3782051Z     features = self.features(x)
2025-11-03T16:31:38.3782394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3782773Z     new_features = layer(features)
2025-11-03T16:31:38.3783123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3783518Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3783917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3784376Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3784609Z 
2025-11-03T16:31:38.3784717Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3785085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3785412Z     return mod(*inputs)
2025-11-03T16:31:38.3785748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3786104Z     features = self.features(x)
2025-11-03T16:31:38.3786458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3786823Z     new_features = layer(features)
2025-11-03T16:31:38.3787178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3787567Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3787966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3788440Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3788682Z 
2025-11-03T16:31:38.3788797Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3789183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3789530Z     return mod(*inputs)
2025-11-03T16:31:38.3789883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3790252Z     features = self.features(x)
2025-11-03T16:31:38.3790612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3791024Z     new_features = layer(features)
2025-11-03T16:31:38.3791389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3791830Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3792043Z 
2025-11-03T16:31:38.3792153Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3792537Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3792881Z     return mod(*inputs)
2025-11-03T16:31:38.3793223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3793609Z     features = self.features(x)
2025-11-03T16:31:38.3793969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3794350Z     new_features = layer(features)
2025-11-03T16:31:38.3794712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3795150Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3795359Z 
2025-11-03T16:31:38.3795471Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3795851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3796196Z     return mod(*inputs)
2025-11-03T16:31:38.3796531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3796939Z     features = self.features(x)
2025-11-03T16:31:38.3797301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3797750Z     new_features = layer(features)
2025-11-03T16:31:38.3798144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3798575Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3799023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3799451Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3799600Z 
2025-11-03T16:31:38.3799719Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3800094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3800438Z     return mod(*inputs)
2025-11-03T16:31:38.3800789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3801167Z     features = self.features(x)
2025-11-03T16:31:38.3801531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3801903Z     new_features = layer(features)
2025-11-03T16:31:38.3802274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3802685Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3803104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3803583Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3803831Z 
2025-11-03T16:31:38.3803945Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3804330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3804674Z     return mod(*inputs)
2025-11-03T16:31:38.3805020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3805444Z     features = self.features(x)
2025-11-03T16:31:38.3805790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3806148Z     new_features = layer(features)
2025-11-03T16:31:38.3806495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3806895Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3807276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3807733Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3807961Z 
2025-11-03T16:31:38.3808065Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3808421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3808742Z     return mod(*inputs)
2025-11-03T16:31:38.3809075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3809441Z     features = self.features(x)
2025-11-03T16:31:38.3809792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3810160Z     new_features = layer(features)
2025-11-03T16:31:38.3810508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3810962Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3811167Z 
2025-11-03T16:31:38.3811315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3811691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3812046Z     return mod(*inputs)
2025-11-03T16:31:38.3812388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3812763Z     features = self.features(x)
2025-11-03T16:31:38.3813126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3813502Z     new_features = layer(features)
2025-11-03T16:31:38.3813872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3814319Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3814526Z 
2025-11-03T16:31:38.3814636Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3815026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3815363Z     return mod(*inputs)
2025-11-03T16:31:38.3815675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3816023Z     features = self.features(x)
2025-11-03T16:31:38.3816357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3816705Z     new_features = layer(features)
2025-11-03T16:31:38.3817045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3817424Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3817807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3818184Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3818321Z 
2025-11-03T16:31:38.3818432Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3818775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3819126Z     return mod(*inputs)
2025-11-03T16:31:38.3819445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3819791Z     features = self.features(x)
2025-11-03T16:31:38.3820122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3820463Z     new_features = layer(features)
2025-11-03T16:31:38.3820803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3821181Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3821563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3822001Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3822227Z 
2025-11-03T16:31:38.3822331Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3822689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3823009Z     return mod(*inputs)
2025-11-03T16:31:38.3823326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3823664Z     features = self.features(x)
2025-11-03T16:31:38.3823997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3824341Z     new_features = layer(features)
2025-11-03T16:31:38.3824708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3825085Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3825455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3825900Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3826122Z 
2025-11-03T16:31:38.3826224Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3826573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3826879Z     return mod(*inputs)
2025-11-03T16:31:38.3827195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3827540Z     features = self.features(x)
2025-11-03T16:31:38.3827868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3828216Z     new_features = layer(features)
2025-11-03T16:31:38.3828548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3828957Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3829152Z 
2025-11-03T16:31:38.3829253Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3829608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3829919Z     return mod(*inputs)
2025-11-03T16:31:38.3830230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3830579Z     features = self.features(x)
2025-11-03T16:31:38.3830898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3831230Z     new_features = layer(features)
2025-11-03T16:31:38.3831552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3831945Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3832132Z 
2025-11-03T16:31:38.3832266Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3832610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3832917Z     return mod(*inputs)
2025-11-03T16:31:38.3833227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3833565Z     features = self.features(x)
2025-11-03T16:31:38.3833894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3834236Z     new_features = layer(features)
2025-11-03T16:31:38.3834568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3834939Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3835319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3835690Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3835827Z 
2025-11-03T16:31:38.3835937Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3836275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3836592Z     return mod(*inputs)
2025-11-03T16:31:38.3836918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3837269Z     features = self.features(x)
2025-11-03T16:31:38.3837666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3838061Z     new_features = layer(features)
2025-11-03T16:31:38.3838409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3838792Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3839188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3839677Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3839925Z 
2025-11-03T16:31:38.3840039Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3840431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3840780Z     return mod(*inputs)
2025-11-03T16:31:38.3841127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3841474Z     features = self.features(x)
2025-11-03T16:31:38.3841813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3842158Z     new_features = layer(features)
2025-11-03T16:31:38.3842500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3842880Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3843258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3843705Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3843929Z 
2025-11-03T16:31:38.3844032Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3844386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3844689Z     return mod(*inputs)
2025-11-03T16:31:38.3845012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3845360Z     features = self.features(x)
2025-11-03T16:31:38.3845696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3846074Z     new_features = layer(features)
2025-11-03T16:31:38.3846404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3846811Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3847004Z 
2025-11-03T16:31:38.3847105Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3847451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3847762Z     return mod(*inputs)
2025-11-03T16:31:38.3848074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3848418Z     features = self.features(x)
2025-11-03T16:31:38.3848751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3849093Z     new_features = layer(features)
2025-11-03T16:31:38.3849424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3849829Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3850025Z 
2025-11-03T16:31:38.3850125Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3850469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3850781Z     return mod(*inputs)
2025-11-03T16:31:38.3851090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3851474Z     features = self.features(x)
2025-11-03T16:31:38.3851807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3852151Z     new_features = layer(features)
2025-11-03T16:31:38.3852483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3852863Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3853241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3853612Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3853750Z 
2025-11-03T16:31:38.3853858Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3854201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3854521Z     return mod(*inputs)
2025-11-03T16:31:38.3854844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3855191Z     features = self.features(x)
2025-11-03T16:31:38.3855522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3855862Z     new_features = layer(features)
2025-11-03T16:31:38.3856204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3856578Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3856961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3857410Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3857641Z 
2025-11-03T16:31:38.3857745Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3858109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3858445Z     return mod(*inputs)
2025-11-03T16:31:38.3858763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3859141Z     features = self.features(x)
2025-11-03T16:31:38.3859483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3859827Z     new_features = layer(features)
2025-11-03T16:31:38.3860174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3860560Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3860951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3861410Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3861641Z 
2025-11-03T16:31:38.3861749Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3862119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3862434Z     return mod(*inputs)
2025-11-03T16:31:38.3862763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3863118Z     features = self.features(x)
2025-11-03T16:31:38.3863461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3863812Z     new_features = layer(features)
2025-11-03T16:31:38.3864146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3864562Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3864758Z 
2025-11-03T16:31:38.3864902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3865261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3865586Z     return mod(*inputs)
2025-11-03T16:31:38.3865907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3866282Z     features = self.features(x)
2025-11-03T16:31:38.3866643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3867209Z     new_features = layer(features)
2025-11-03T16:31:38.3867574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3868000Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3868215Z 
2025-11-03T16:31:38.3868332Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3868721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3869074Z     return mod(*inputs)
2025-11-03T16:31:38.3869420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3869806Z     features = self.features(x)
2025-11-03T16:31:38.3870174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3870559Z     new_features = layer(features)
2025-11-03T16:31:38.3870921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3871338Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3871767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3872173Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3872324Z 
2025-11-03T16:31:38.3872443Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3872817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3873160Z     return mod(*inputs)
2025-11-03T16:31:38.3873589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3873961Z     features = self.features(x)
2025-11-03T16:31:38.3874311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3874685Z     new_features = layer(features)
2025-11-03T16:31:38.3875050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3875455Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3875867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3876340Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3876584Z 
2025-11-03T16:31:38.3876695Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3877079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3877419Z     return mod(*inputs)
2025-11-03T16:31:38.3877822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3878197Z     features = self.features(x)
2025-11-03T16:31:38.3878555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3878928Z     new_features = layer(features)
2025-11-03T16:31:38.3879276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3879705Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3880102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3880564Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3880801Z 
2025-11-03T16:31:38.3880906Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3881265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3881576Z     return mod(*inputs)
2025-11-03T16:31:38.3881902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3882258Z     features = self.features(x)
2025-11-03T16:31:38.3882603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3882963Z     new_features = layer(features)
2025-11-03T16:31:38.3883304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3883722Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3883929Z 
2025-11-03T16:31:38.3884033Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3884392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3884714Z     return mod(*inputs)
2025-11-03T16:31:38.3885037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3885393Z     features = self.features(x)
2025-11-03T16:31:38.3885737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3886093Z     new_features = layer(features)
2025-11-03T16:31:38.3886440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3886860Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3887060Z 
2025-11-03T16:31:38.3887165Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3887569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3887900Z     return mod(*inputs)
2025-11-03T16:31:38.3888233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3888598Z     features = self.features(x)
2025-11-03T16:31:38.3888948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3889317Z     new_features = layer(features)
2025-11-03T16:31:38.3889675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3890070Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3890468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3890864Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3891007Z 
2025-11-03T16:31:38.3891121Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3891480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3891813Z     return mod(*inputs)
2025-11-03T16:31:38.3892150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3892514Z     features = self.features(x)
2025-11-03T16:31:38.3892835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3893180Z     new_features = layer(features)
2025-11-03T16:31:38.3893548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3893920Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3894293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3894730Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3894956Z 
2025-11-03T16:31:38.3895055Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3895402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3895708Z     return mod(*inputs)
2025-11-03T16:31:38.3896017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3896346Z     features = self.features(x)
2025-11-03T16:31:38.3896677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3897021Z     new_features = layer(features)
2025-11-03T16:31:38.3897367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3897740Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3898123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3898568Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3898792Z 
2025-11-03T16:31:38.3898894Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3899244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3899553Z     return mod(*inputs)
2025-11-03T16:31:38.3899873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3900218Z     features = self.features(x)
2025-11-03T16:31:38.3900552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3900928Z     new_features = layer(features)
2025-11-03T16:31:38.3901256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3901668Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3901858Z 
2025-11-03T16:31:38.3901959Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3902306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3902620Z     return mod(*inputs)
2025-11-03T16:31:38.3902934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3903290Z     features = self.features(x)
2025-11-03T16:31:38.3903631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3903984Z     new_features = layer(features)
2025-11-03T16:31:38.3904329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3904732Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3904925Z 
2025-11-03T16:31:38.3905027Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3905377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3905686Z     return mod(*inputs)
2025-11-03T16:31:38.3905994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3906339Z     features = self.features(x)
2025-11-03T16:31:38.3906712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3907068Z     new_features = layer(features)
2025-11-03T16:31:38.3907409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3907798Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3908194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3908581Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3908723Z 
2025-11-03T16:31:38.3908836Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3909187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3909514Z     return mod(*inputs)
2025-11-03T16:31:38.3909846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3910204Z     features = self.features(x)
2025-11-03T16:31:38.3910542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3910901Z     new_features = layer(features)
2025-11-03T16:31:38.3911250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3911641Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3912029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3912490Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3912735Z 
2025-11-03T16:31:38.3912845Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3913225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3913567Z     return mod(*inputs)
2025-11-03T16:31:38.3913910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3914274Z     features = self.features(x)
2025-11-03T16:31:38.3914675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3915046Z     new_features = layer(features)
2025-11-03T16:31:38.3915413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3915811Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3916221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3916704Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3916953Z 
2025-11-03T16:31:38.3917066Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3917458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3917965Z     return mod(*inputs)
2025-11-03T16:31:38.3918337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3918733Z     features = self.features(x)
2025-11-03T16:31:38.3919103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3919490Z     new_features = layer(features)
2025-11-03T16:31:38.3919836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3920263Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3920464Z 
2025-11-03T16:31:38.3920611Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3920969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3921286Z     return mod(*inputs)
2025-11-03T16:31:38.3921613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3921962Z     features = self.features(x)
2025-11-03T16:31:38.3922301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3922657Z     new_features = layer(features)
2025-11-03T16:31:38.3922998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3923419Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3923623Z 
2025-11-03T16:31:38.3923728Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3924090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3924416Z     return mod(*inputs)
2025-11-03T16:31:38.3924737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3925091Z     features = self.features(x)
2025-11-03T16:31:38.3925437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3925783Z     new_features = layer(features)
2025-11-03T16:31:38.3926111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3926482Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3926861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3927230Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3927365Z 
2025-11-03T16:31:38.3927476Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3927816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3928131Z     return mod(*inputs)
2025-11-03T16:31:38.3928482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3928821Z     features = self.features(x)
2025-11-03T16:31:38.3929139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3929485Z     new_features = layer(features)
2025-11-03T16:31:38.3929817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3930191Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3930570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3931007Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3931231Z 
2025-11-03T16:31:38.3931331Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3931683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3931998Z     return mod(*inputs)
2025-11-03T16:31:38.3932315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3932650Z     features = self.features(x)
2025-11-03T16:31:38.3932978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3933320Z     new_features = layer(features)
2025-11-03T16:31:38.3933655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3934052Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3934436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3934885Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3935108Z 
2025-11-03T16:31:38.3935218Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3935572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3935883Z     return mod(*inputs)
2025-11-03T16:31:38.3936201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3936544Z     features = self.features(x)
2025-11-03T16:31:38.3936878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3937236Z     new_features = layer(features)
2025-11-03T16:31:38.3937571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3937976Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3938167Z 
2025-11-03T16:31:38.3938273Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3938624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3938933Z     return mod(*inputs)
2025-11-03T16:31:38.3939254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3939595Z     features = self.features(x)
2025-11-03T16:31:38.3939924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3940265Z     new_features = layer(features)
2025-11-03T16:31:38.3940608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3941002Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3941187Z 
2025-11-03T16:31:38.3941287Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3941659Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3941966Z     return mod(*inputs)
2025-11-03T16:31:38.3942268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3942606Z     features = self.features(x)
2025-11-03T16:31:38.3942928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3943260Z     new_features = layer(features)
2025-11-03T16:31:38.3943589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3943963Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3944348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3944720Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3944857Z 
2025-11-03T16:31:38.3944965Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3945301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3945614Z     return mod(*inputs)
2025-11-03T16:31:38.3945928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3946268Z     features = self.features(x)
2025-11-03T16:31:38.3946587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3946929Z     new_features = layer(features)
2025-11-03T16:31:38.3947307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3947672Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3948044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3948489Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3948716Z 
2025-11-03T16:31:38.3948818Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3949171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3949486Z     return mod(*inputs)
2025-11-03T16:31:38.3949804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3950145Z     features = self.features(x)
2025-11-03T16:31:38.3950478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3950824Z     new_features = layer(features)
2025-11-03T16:31:38.3951160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3951529Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3951909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3952355Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3952572Z 
2025-11-03T16:31:38.3953101Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3953456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3953771Z     return mod(*inputs)
2025-11-03T16:31:38.3954097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3954452Z     features = self.features(x)
2025-11-03T16:31:38.3954799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3955207Z     new_features = layer(features)
2025-11-03T16:31:38.3955544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3955959Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3956162Z 
2025-11-03T16:31:38.3956265Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3956630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3956955Z     return mod(*inputs)
2025-11-03T16:31:38.3957274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3957709Z     features = self.features(x)
2025-11-03T16:31:38.3958060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3958427Z     new_features = layer(features)
2025-11-03T16:31:38.3958805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3959261Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3959478Z 
2025-11-03T16:31:38.3959594Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3959991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3960333Z     return mod(*inputs)
2025-11-03T16:31:38.3960672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3961045Z     features = self.features(x)
2025-11-03T16:31:38.3961483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3961867Z     new_features = layer(features)
2025-11-03T16:31:38.3962231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3962647Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3963067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3963475Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3963622Z 
2025-11-03T16:31:38.3963740Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3964117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3964466Z     return mod(*inputs)
2025-11-03T16:31:38.3964818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3965201Z     features = self.features(x)
2025-11-03T16:31:38.3965623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3965982Z     new_features = layer(features)
2025-11-03T16:31:38.3966339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3966734Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3967317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3967799Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3968055Z 
2025-11-03T16:31:38.3968162Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3968530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3968854Z     return mod(*inputs)
2025-11-03T16:31:38.3969183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3969536Z     features = self.features(x)
2025-11-03T16:31:38.3969950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3970304Z     new_features = layer(features)
2025-11-03T16:31:38.3970649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3971034Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3971421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3971911Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3972146Z 
2025-11-03T16:31:38.3972255Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3972618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3972934Z     return mod(*inputs)
2025-11-03T16:31:38.3973263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3973624Z     features = self.features(x)
2025-11-03T16:31:38.3973965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3974324Z     new_features = layer(features)
2025-11-03T16:31:38.3974663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3975057Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3975245Z 
2025-11-03T16:31:38.3975344Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3975734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3976055Z     return mod(*inputs)
2025-11-03T16:31:38.3976369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3976713Z     features = self.features(x)
2025-11-03T16:31:38.3977048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3977395Z     new_features = layer(features)
2025-11-03T16:31:38.3977730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3978135Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3978326Z 
2025-11-03T16:31:38.3978408Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3978619Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3978831Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3979027Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3979229Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3979429Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.3979664Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3980017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3980333Z     return mod(*inputs)
2025-11-03T16:31:38.3980659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3981010Z     features = self.features(x)
2025-11-03T16:31:38.3981340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-11-03T16:31:38.3981693Z     return torch.cat(features, 1)
2025-11-03T16:31:38.3981826Z 
2025-11-03T16:31:38.3981929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3982287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3982605Z     return mod(*inputs)
2025-11-03T16:31:38.3982923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3983318Z     features = self.features(x)
2025-11-03T16:31:38.3983442Z 
2025-11-03T16:31:38.3983547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3983910Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3984229Z     return mod(*inputs)
2025-11-03T16:31:38.3984557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3984921Z     features = self.features(x)
2025-11-03T16:31:38.3985034Z 
2025-11-03T16:31:38.3985144Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3985499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3985804Z     return mod(*inputs)
2025-11-03T16:31:38.3986130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3986489Z     features = self.features(x)
2025-11-03T16:31:38.3986829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3987180Z     new_features = layer(features)
2025-11-03T16:31:38.3987534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3987926Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3988322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.3988814Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.3989039Z 
2025-11-03T16:31:38.3989143Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3989501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3989827Z     return mod(*inputs)
2025-11-03T16:31:38.3990162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3990540Z     features = self.features(x)
2025-11-03T16:31:38.3990893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3991268Z     new_features = layer(features)
2025-11-03T16:31:38.3991635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3992075Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3992278Z 
2025-11-03T16:31:38.3992389Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3992768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3993110Z     return mod(*inputs)
2025-11-03T16:31:38.3993454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3993829Z     features = self.features(x)
2025-11-03T16:31:38.3994178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3994552Z     new_features = layer(features)
2025-11-03T16:31:38.3994913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.3995353Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.3995555Z 
2025-11-03T16:31:38.3995670Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3996043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3996385Z     return mod(*inputs)
2025-11-03T16:31:38.3996732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3997138Z     features = self.features(x)
2025-11-03T16:31:38.3997495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3997648Z     new_features = layer(features)
2025-11-03T16:31:38.3997899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3998024Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.3998289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.3998392Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.3998405Z 
2025-11-03T16:31:38.3998519Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.3998753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.3998838Z     return mod(*inputs)
2025-11-03T16:31:38.3999080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.3999173Z     features = self.features(x)
2025-11-03T16:31:38.3999404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.3999481Z     new_features = layer(features)
2025-11-03T16:31:38.3999726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.3999838Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4000130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4000308Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4000312Z 
2025-11-03T16:31:38.4000423Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4000652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4000722Z     return mod(*inputs)
2025-11-03T16:31:38.4000962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4001036Z     features = self.features(x)
2025-11-03T16:31:38.4001275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4001351Z     new_features = layer(features)
2025-11-03T16:31:38.4001585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4001701Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4001942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4002124Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4002131Z 
2025-11-03T16:31:38.4002241Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4002450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4002527Z     return mod(*inputs)
2025-11-03T16:31:38.4002762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4002842Z     features = self.features(x)
2025-11-03T16:31:38.4003072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4003149Z     new_features = layer(features)
2025-11-03T16:31:38.4003386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4003528Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4003580Z 
2025-11-03T16:31:38.4003698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4003905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4003983Z     return mod(*inputs)
2025-11-03T16:31:38.4004212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4004285Z     features = self.features(x)
2025-11-03T16:31:38.4004522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4004597Z     new_features = layer(features)
2025-11-03T16:31:38.4004837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4004976Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4004981Z 
2025-11-03T16:31:38.4005088Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4005304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4005373Z     return mod(*inputs)
2025-11-03T16:31:38.4005612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4005687Z     features = self.features(x)
2025-11-03T16:31:38.4005924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4005999Z     new_features = layer(features)
2025-11-03T16:31:38.4006257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4006376Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4006616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4006718Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4006722Z 
2025-11-03T16:31:38.4006828Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4007033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4007110Z     return mod(*inputs)
2025-11-03T16:31:38.4007338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4007413Z     features = self.features(x)
2025-11-03T16:31:38.4007628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4007702Z     new_features = layer(features)
2025-11-03T16:31:38.4007926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4008027Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4008261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4008433Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4008438Z 
2025-11-03T16:31:38.4008551Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4008754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4008824Z     return mod(*inputs)
2025-11-03T16:31:38.4009059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4009132Z     features = self.features(x)
2025-11-03T16:31:38.4009368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4009444Z     new_features = layer(features)
2025-11-03T16:31:38.4009670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4009817Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4010055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4010236Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4010239Z 
2025-11-03T16:31:38.4010346Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4010559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4010629Z     return mod(*inputs)
2025-11-03T16:31:38.4010859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4010943Z     features = self.features(x)
2025-11-03T16:31:38.4011170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4011256Z     new_features = layer(features)
2025-11-03T16:31:38.4011482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4011621Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4011624Z 
2025-11-03T16:31:38.4011736Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4011943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4012018Z     return mod(*inputs)
2025-11-03T16:31:38.4012277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4012353Z     features = self.features(x)
2025-11-03T16:31:38.4012594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4012669Z     new_features = layer(features)
2025-11-03T16:31:38.4012918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4013057Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4013061Z 
2025-11-03T16:31:38.4013175Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4013382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4013453Z     return mod(*inputs)
2025-11-03T16:31:38.4013696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4013772Z     features = self.features(x)
2025-11-03T16:31:38.4014014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4014089Z     new_features = layer(features)
2025-11-03T16:31:38.4014323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4014443Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4014682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4014779Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4014783Z 
2025-11-03T16:31:38.4014890Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4015100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4015168Z     return mod(*inputs)
2025-11-03T16:31:38.4015403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4015483Z     features = self.features(x)
2025-11-03T16:31:38.4015721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4015842Z     new_features = layer(features)
2025-11-03T16:31:38.4016071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4016178Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4016429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4016604Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4016608Z 
2025-11-03T16:31:38.4016723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4016933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4017003Z     return mod(*inputs)
2025-11-03T16:31:38.4017252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4017325Z     features = self.features(x)
2025-11-03T16:31:38.4017550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4017622Z     new_features = layer(features)
2025-11-03T16:31:38.4017847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4017948Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4018176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4018348Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4018382Z 
2025-11-03T16:31:38.4018485Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4018687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4018753Z     return mod(*inputs)
2025-11-03T16:31:38.4018975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4019052Z     features = self.features(x)
2025-11-03T16:31:38.4019272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4019350Z     new_features = layer(features)
2025-11-03T16:31:38.4019567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4019707Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4019710Z 
2025-11-03T16:31:38.4019814Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4020008Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4020081Z     return mod(*inputs)
2025-11-03T16:31:38.4020300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4020381Z     features = self.features(x)
2025-11-03T16:31:38.4020599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4020670Z     new_features = layer(features)
2025-11-03T16:31:38.4020895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4021026Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4021030Z 
2025-11-03T16:31:38.4021138Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4021335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4021400Z     return mod(*inputs)
2025-11-03T16:31:38.4021625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4021729Z     features = self.features(x)
2025-11-03T16:31:38.4021955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4022026Z     new_features = layer(features)
2025-11-03T16:31:38.4022250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4022352Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4022578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4022672Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4022678Z 
2025-11-03T16:31:38.4022780Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4022987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4023052Z     return mod(*inputs)
2025-11-03T16:31:38.4023279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4023357Z     features = self.features(x)
2025-11-03T16:31:38.4023582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4023660Z     new_features = layer(features)
2025-11-03T16:31:38.4023886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4023988Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4024272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4024438Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4024442Z 
2025-11-03T16:31:38.4024551Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4024746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4024822Z     return mod(*inputs)
2025-11-03T16:31:38.4025042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4025113Z     features = self.features(x)
2025-11-03T16:31:38.4025340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4025412Z     new_features = layer(features)
2025-11-03T16:31:38.4025639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4025743Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4025971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4026144Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4026150Z 
2025-11-03T16:31:38.4026251Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4026456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4026521Z     return mod(*inputs)
2025-11-03T16:31:38.4026744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4026815Z     features = self.features(x)
2025-11-03T16:31:38.4027029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4027113Z     new_features = layer(features)
2025-11-03T16:31:38.4027331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4027470Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4027504Z 
2025-11-03T16:31:38.4027609Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4027815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4027893Z     return mod(*inputs)
2025-11-03T16:31:38.4028123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4028204Z     features = self.features(x)
2025-11-03T16:31:38.4028433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4028510Z     new_features = layer(features)
2025-11-03T16:31:38.4028731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4028863Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4028867Z 
2025-11-03T16:31:38.4028977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4029171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4029243Z     return mod(*inputs)
2025-11-03T16:31:38.4029459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4029528Z     features = self.features(x)
2025-11-03T16:31:38.4029755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4029825Z     new_features = layer(features)
2025-11-03T16:31:38.4030049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4030182Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4030413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4030505Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4030513Z 
2025-11-03T16:31:38.4030615Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4030817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4030883Z     return mod(*inputs)
2025-11-03T16:31:38.4031107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4031177Z     features = self.features(x)
2025-11-03T16:31:38.4031395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4031474Z     new_features = layer(features)
2025-11-03T16:31:38.4031692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4031800Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4032024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4032190Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4032194Z 
2025-11-03T16:31:38.4032304Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4032497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4032569Z     return mod(*inputs)
2025-11-03T16:31:38.4032786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4032864Z     features = self.features(x)
2025-11-03T16:31:38.4033084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4033155Z     new_features = layer(features)
2025-11-03T16:31:38.4033380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4033511Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4033744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4033906Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4033910Z 
2025-11-03T16:31:38.4034011Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4034210Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4034273Z     return mod(*inputs)
2025-11-03T16:31:38.4034499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4034568Z     features = self.features(x)
2025-11-03T16:31:38.4034785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4034866Z     new_features = layer(features)
2025-11-03T16:31:38.4035085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4035222Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4035226Z 
2025-11-03T16:31:38.4035325Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4035528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4035593Z     return mod(*inputs)
2025-11-03T16:31:38.4035811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4035923Z     features = self.features(x)
2025-11-03T16:31:38.4036141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4036219Z     new_features = layer(features)
2025-11-03T16:31:38.4036439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4036572Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4036575Z 
2025-11-03T16:31:38.4036682Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4036874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4036947Z     return mod(*inputs)
2025-11-03T16:31:38.4037164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4037240Z     features = self.features(x)
2025-11-03T16:31:38.4037478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4037554Z     new_features = layer(features)
2025-11-03T16:31:38.4037885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4038004Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4038256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4038350Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4038354Z 
2025-11-03T16:31:38.4038464Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4038692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4038760Z     return mod(*inputs)
2025-11-03T16:31:38.4039006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4039080Z     features = self.features(x)
2025-11-03T16:31:38.4039307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4039431Z     new_features = layer(features)
2025-11-03T16:31:38.4039665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4039781Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4040030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4040198Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4040203Z 
2025-11-03T16:31:38.4040302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4040498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4040571Z     return mod(*inputs)
2025-11-03T16:31:38.4040784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4040860Z     features = self.features(x)
2025-11-03T16:31:38.4041075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4041144Z     new_features = layer(features)
2025-11-03T16:31:38.4041366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4041466Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4041695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4041855Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4041858Z 
2025-11-03T16:31:38.4041990Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4042180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4042243Z     return mod(*inputs)
2025-11-03T16:31:38.4042469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4042535Z     features = self.features(x)
2025-11-03T16:31:38.4042753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4042822Z     new_features = layer(features)
2025-11-03T16:31:38.4043032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4043167Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4043170Z 
2025-11-03T16:31:38.4043270Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4043468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4043530Z     return mod(*inputs)
2025-11-03T16:31:38.4043742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4043819Z     features = self.features(x)
2025-11-03T16:31:38.4044029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4044105Z     new_features = layer(features)
2025-11-03T16:31:38.4044315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4044449Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4044452Z 
2025-11-03T16:31:38.4044550Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4044741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4044812Z     return mod(*inputs)
2025-11-03T16:31:38.4045023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4045135Z     features = self.features(x)
2025-11-03T16:31:38.4045348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4045416Z     new_features = layer(features)
2025-11-03T16:31:38.4045634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4045733Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4045962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4046045Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4046048Z 
2025-11-03T16:31:38.4046155Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4046343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4046405Z     return mod(*inputs)
2025-11-03T16:31:38.4046623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4046694Z     features = self.features(x)
2025-11-03T16:31:38.4046915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4046984Z     new_features = layer(features)
2025-11-03T16:31:38.4047194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4047300Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4047520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4047735Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4047739Z 
2025-11-03T16:31:38.4047838Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4048026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4048099Z     return mod(*inputs)
2025-11-03T16:31:38.4048310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4048386Z     features = self.features(x)
2025-11-03T16:31:38.4048596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4048670Z     new_features = layer(features)
2025-11-03T16:31:38.4048878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4048978Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4049202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4049360Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4049366Z 
2025-11-03T16:31:38.4049471Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4049658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4049719Z     return mod(*inputs)
2025-11-03T16:31:38.4049936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4050002Z     features = self.features(x)
2025-11-03T16:31:38.4050217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4050284Z     new_features = layer(features)
2025-11-03T16:31:38.4050495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4050629Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4050632Z 
2025-11-03T16:31:38.4050760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4050956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4051019Z     return mod(*inputs)
2025-11-03T16:31:38.4051236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4051307Z     features = self.features(x)
2025-11-03T16:31:38.4051518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4051592Z     new_features = layer(features)
2025-11-03T16:31:38.4051804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4051941Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4051945Z 
2025-11-03T16:31:38.4052043Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4052234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4052308Z     return mod(*inputs)
2025-11-03T16:31:38.4052520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4052594Z     features = self.features(x)
2025-11-03T16:31:38.4052809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4052884Z     new_features = layer(features)
2025-11-03T16:31:38.4053098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4053231Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4053460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4053544Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4053550Z 
2025-11-03T16:31:38.4053655Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4053845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4053908Z     return mod(*inputs)
2025-11-03T16:31:38.4054128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4054195Z     features = self.features(x)
2025-11-03T16:31:38.4054415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4054484Z     new_features = layer(features)
2025-11-03T16:31:38.4054692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4054800Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4055020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4055188Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4055192Z 
2025-11-03T16:31:38.4055290Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4055486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4055549Z     return mod(*inputs)
2025-11-03T16:31:38.4055760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4055835Z     features = self.features(x)
2025-11-03T16:31:38.4056059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4056135Z     new_features = layer(features)
2025-11-03T16:31:38.4056350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4056486Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4056728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4056893Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4056896Z 
2025-11-03T16:31:38.4057005Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4057205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4057274Z     return mod(*inputs)
2025-11-03T16:31:38.4057490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4057557Z     features = self.features(x)
2025-11-03T16:31:38.4057776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4057844Z     new_features = layer(features)
2025-11-03T16:31:38.4058065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4058194Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4058198Z 
2025-11-03T16:31:38.4058299Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4058503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4058568Z     return mod(*inputs)
2025-11-03T16:31:38.4058794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4059834Z     features = self.features(x)
2025-11-03T16:31:38.4060075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4060155Z     new_features = layer(features)
2025-11-03T16:31:38.4060372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4060513Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4060517Z 
2025-11-03T16:31:38.4060620Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4060826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4060892Z     return mod(*inputs)
2025-11-03T16:31:38.4061110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4061190Z     features = self.features(x)
2025-11-03T16:31:38.4061411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4061491Z     new_features = layer(features)
2025-11-03T16:31:38.4061708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4061813Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4062048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4062136Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4062139Z 
2025-11-03T16:31:38.4062250Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4062445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4062517Z     return mod(*inputs)
2025-11-03T16:31:38.4062739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4062808Z     features = self.features(x)
2025-11-03T16:31:38.4063031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4063100Z     new_features = layer(features)
2025-11-03T16:31:38.4063361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4063462Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4063687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4063859Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4063863Z 
2025-11-03T16:31:38.4063964Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4064166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4064233Z     return mod(*inputs)
2025-11-03T16:31:38.4064459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4064529Z     features = self.features(x)
2025-11-03T16:31:38.4064749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4064827Z     new_features = layer(features)
2025-11-03T16:31:38.4065043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4065150Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4065378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4065541Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4065544Z 
2025-11-03T16:31:38.4065681Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4065877Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4065949Z     return mod(*inputs)
2025-11-03T16:31:38.4066167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4066240Z     features = self.features(x)
2025-11-03T16:31:38.4066467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4066539Z     new_features = layer(features)
2025-11-03T16:31:38.4066766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4067055Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4067061Z 
2025-11-03T16:31:38.4067177Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4067376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4067441Z     return mod(*inputs)
2025-11-03T16:31:38.4067669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4067741Z     features = self.features(x)
2025-11-03T16:31:38.4067967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4068040Z     new_features = layer(features)
2025-11-03T16:31:38.4068259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4068398Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4068401Z 
2025-11-03T16:31:38.4068502Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4068706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4068772Z     return mod(*inputs)
2025-11-03T16:31:38.4068999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4069070Z     features = self.features(x)
2025-11-03T16:31:38.4069360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4069438Z     new_features = layer(features)
2025-11-03T16:31:38.4069655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4069763Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4069994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4070081Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4070085Z 
2025-11-03T16:31:38.4070198Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4070393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4070464Z     return mod(*inputs)
2025-11-03T16:31:38.4070684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4070756Z     features = self.features(x)
2025-11-03T16:31:38.4070987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4071059Z     new_features = layer(features)
2025-11-03T16:31:38.4071286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4071388Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4071626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4071837Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4071842Z 
2025-11-03T16:31:38.4071945Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4072148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4072215Z     return mod(*inputs)
2025-11-03T16:31:38.4072440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4072508Z     features = self.features(x)
2025-11-03T16:31:38.4072724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4072802Z     new_features = layer(features)
2025-11-03T16:31:38.4073016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4073125Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4073354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4073525Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4073538Z 
2025-11-03T16:31:38.4073636Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4073823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4073894Z     return mod(*inputs)
2025-11-03T16:31:38.4074106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4074180Z     features = self.features(x)
2025-11-03T16:31:38.4074392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4074461Z     new_features = layer(features)
2025-11-03T16:31:38.4074684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4074813Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4074816Z 
2025-11-03T16:31:38.4074923Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4075137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4075200Z     return mod(*inputs)
2025-11-03T16:31:38.4075418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4075485Z     features = self.features(x)
2025-11-03T16:31:38.4075701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4075770Z     new_features = layer(features)
2025-11-03T16:31:38.4075988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4076115Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4076118Z 
2025-11-03T16:31:38.4076217Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4076411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4076477Z     return mod(*inputs)
2025-11-03T16:31:38.4076694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4076761Z     features = self.features(x)
2025-11-03T16:31:38.4076969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4077044Z     new_features = layer(features)
2025-11-03T16:31:38.4077252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4077415Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4077689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4077783Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4077797Z 
2025-11-03T16:31:38.4077907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4078119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4078194Z     return mod(*inputs)
2025-11-03T16:31:38.4078434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4078516Z     features = self.features(x)
2025-11-03T16:31:38.4078751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4078829Z     new_features = layer(features)
2025-11-03T16:31:38.4079078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4079189Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4079436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4079603Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4079606Z 
2025-11-03T16:31:38.4079707Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4079913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4079979Z     return mod(*inputs)
2025-11-03T16:31:38.4080206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4080275Z     features = self.features(x)
2025-11-03T16:31:38.4080519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4080590Z     new_features = layer(features)
2025-11-03T16:31:38.4080803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4080911Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4081165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4081330Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4081334Z 
2025-11-03T16:31:38.4081432Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4081624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4081698Z     return mod(*inputs)
2025-11-03T16:31:38.4081919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4081996Z     features = self.features(x)
2025-11-03T16:31:38.4082215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4082287Z     new_features = layer(features)
2025-11-03T16:31:38.4082512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4082644Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4082648Z 
2025-11-03T16:31:38.4082755Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4082952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4083024Z     return mod(*inputs)
2025-11-03T16:31:38.4083242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4083310Z     features = self.features(x)
2025-11-03T16:31:38.4083562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4083635Z     new_features = layer(features)
2025-11-03T16:31:38.4083861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4083994Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4083997Z 
2025-11-03T16:31:38.4084099Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4084305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4084368Z     return mod(*inputs)
2025-11-03T16:31:38.4084595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4084664Z     features = self.features(x)
2025-11-03T16:31:38.4084892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4084962Z     new_features = layer(features)
2025-11-03T16:31:38.4085181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4085294Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4085523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4085615Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4085619Z 
2025-11-03T16:31:38.4085719Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4085917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4085991Z     return mod(*inputs)
2025-11-03T16:31:38.4086211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4086289Z     features = self.features(x)
2025-11-03T16:31:38.4086512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4086582Z     new_features = layer(features)
2025-11-03T16:31:38.4086840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4086940Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4087178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4087340Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4087343Z 
2025-11-03T16:31:38.4087450Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4087645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4087712Z     return mod(*inputs)
2025-11-03T16:31:38.4087944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4088011Z     features = self.features(x)
2025-11-03T16:31:38.4088228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4088301Z     new_features = layer(features)
2025-11-03T16:31:38.4088512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4088621Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4088848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4089018Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4089022Z 
2025-11-03T16:31:38.4089161Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4089359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4089423Z     return mod(*inputs)
2025-11-03T16:31:38.4089634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4089712Z     features = self.features(x)
2025-11-03T16:31:38.4089925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4090001Z     new_features = layer(features)
2025-11-03T16:31:38.4090212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4090344Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4090347Z 
2025-11-03T16:31:38.4090458Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4090654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4090725Z     return mod(*inputs)
2025-11-03T16:31:38.4090940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4091011Z     features = self.features(x)
2025-11-03T16:31:38.4091233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4091304Z     new_features = layer(features)
2025-11-03T16:31:38.4091524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4091655Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4091659Z 
2025-11-03T16:31:38.4091765Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4091959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4092024Z     return mod(*inputs)
2025-11-03T16:31:38.4092250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4092317Z     features = self.features(x)
2025-11-03T16:31:38.4092580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4092652Z     new_features = layer(features)
2025-11-03T16:31:38.4092866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4092977Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4093204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4093296Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4093300Z 
2025-11-03T16:31:38.4093400Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4093604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4093669Z     return mod(*inputs)
2025-11-03T16:31:38.4093888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4093966Z     features = self.features(x)
2025-11-03T16:31:38.4094185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4094262Z     new_features = layer(features)
2025-11-03T16:31:38.4094482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4094582Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4094817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4095016Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4095020Z 
2025-11-03T16:31:38.4095128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4095320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4095388Z     return mod(*inputs)
2025-11-03T16:31:38.4095615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4095685Z     features = self.features(x)
2025-11-03T16:31:38.4095932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4096002Z     new_features = layer(features)
2025-11-03T16:31:38.4096229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4096329Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4096555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4096730Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4096733Z 
2025-11-03T16:31:38.4096840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4097038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4097102Z     return mod(*inputs)
2025-11-03T16:31:38.4097320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4097396Z     features = self.features(x)
2025-11-03T16:31:38.4097613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4097691Z     new_features = layer(features)
2025-11-03T16:31:38.4097909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4098048Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4098052Z 
2025-11-03T16:31:38.4098152Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4098373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4098445Z     return mod(*inputs)
2025-11-03T16:31:38.4098665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4098741Z     features = self.features(x)
2025-11-03T16:31:38.4098960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4099031Z     new_features = layer(features)
2025-11-03T16:31:38.4099256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4099390Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4099393Z 
2025-11-03T16:31:38.4099500Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4099694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4099761Z     return mod(*inputs)
2025-11-03T16:31:38.4099987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4100056Z     features = self.features(x)
2025-11-03T16:31:38.4100283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4100354Z     new_features = layer(features)
2025-11-03T16:31:38.4100583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4100679Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4100925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4101019Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4101022Z 
2025-11-03T16:31:38.4101117Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4101310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4101371Z     return mod(*inputs)
2025-11-03T16:31:38.4101578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4101653Z     features = self.features(x)
2025-11-03T16:31:38.4101859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4101934Z     new_features = layer(features)
2025-11-03T16:31:38.4102143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4102239Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4102464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4102621Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4102624Z 
2025-11-03T16:31:38.4102727Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4102913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4102981Z     return mod(*inputs)
2025-11-03T16:31:38.4103186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4103250Z     features = self.features(x)
2025-11-03T16:31:38.4103465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4103532Z     new_features = layer(features)
2025-11-03T16:31:38.4103744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4103839Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4104086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4104248Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4104252Z 
2025-11-03T16:31:38.4104348Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4104539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4104600Z     return mod(*inputs)
2025-11-03T16:31:38.4104811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4104879Z     features = self.features(x)
2025-11-03T16:31:38.4105085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4105159Z     new_features = layer(features)
2025-11-03T16:31:38.4105364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4105496Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4105498Z 
2025-11-03T16:31:38.4105595Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4105778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4105847Z     return mod(*inputs)
2025-11-03T16:31:38.4106052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4106124Z     features = self.features(x)
2025-11-03T16:31:38.4106353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4106430Z     new_features = layer(features)
2025-11-03T16:31:38.4106640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4106767Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4106770Z 
2025-11-03T16:31:38.4106873Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4107060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4107128Z     return mod(*inputs)
2025-11-03T16:31:38.4107344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4107412Z     features = self.features(x)
2025-11-03T16:31:38.4107635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4107704Z     new_features = layer(features)
2025-11-03T16:31:38.4107927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4108028Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4108254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4108344Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4108347Z 
2025-11-03T16:31:38.4108446Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4108643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4108706Z     return mod(*inputs)
2025-11-03T16:31:38.4108935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4109003Z     features = self.features(x)
2025-11-03T16:31:38.4109212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4109287Z     new_features = layer(features)
2025-11-03T16:31:38.4109499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4109634Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4109849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4110003Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4110006Z 
2025-11-03T16:31:38.4110110Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4110295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4110361Z     return mod(*inputs)
2025-11-03T16:31:38.4110605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4110681Z     features = self.features(x)
2025-11-03T16:31:38.4110893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4110965Z     new_features = layer(features)
2025-11-03T16:31:38.4111183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4111280Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4111516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4111674Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4111677Z 
2025-11-03T16:31:38.4111776Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4112042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4112109Z     return mod(*inputs)
2025-11-03T16:31:38.4112330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4112399Z     features = self.features(x)
2025-11-03T16:31:38.4112616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4112691Z     new_features = layer(features)
2025-11-03T16:31:38.4112910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4113048Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4113051Z 
2025-11-03T16:31:38.4113151Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4113359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4113425Z     return mod(*inputs)
2025-11-03T16:31:38.4113644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4113722Z     features = self.features(x)
2025-11-03T16:31:38.4113943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4114023Z     new_features = layer(features)
2025-11-03T16:31:38.4114242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4114372Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4114376Z 
2025-11-03T16:31:38.4114486Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4114682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4114757Z     return mod(*inputs)
2025-11-03T16:31:38.4114978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4115066Z     features = self.features(x)
2025-11-03T16:31:38.4115281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4115383Z     new_features = layer(features)
2025-11-03T16:31:38.4115606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4115705Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4115936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4116019Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4116022Z 
2025-11-03T16:31:38.4116119Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4116319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4116381Z     return mod(*inputs)
2025-11-03T16:31:38.4116600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4116671Z     features = self.features(x)
2025-11-03T16:31:38.4116884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4116960Z     new_features = layer(features)
2025-11-03T16:31:38.4117174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4117278Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4117543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4117807Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4117813Z 
2025-11-03T16:31:38.4117916Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4118106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4118183Z     return mod(*inputs)
2025-11-03T16:31:38.4118415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4118495Z     features = self.features(x)
2025-11-03T16:31:38.4118726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4118802Z     new_features = layer(features)
2025-11-03T16:31:38.4119043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4119149Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4119426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4119590Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4119593Z 
2025-11-03T16:31:38.4119703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4119900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4119965Z     return mod(*inputs)
2025-11-03T16:31:38.4120190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4120259Z     features = self.features(x)
2025-11-03T16:31:38.4120480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4120552Z     new_features = layer(features)
2025-11-03T16:31:38.4120772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4120911Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4120914Z 
2025-11-03T16:31:38.4121015Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4121216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4121311Z     return mod(*inputs)
2025-11-03T16:31:38.4121529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4121606Z     features = self.features(x)
2025-11-03T16:31:38.4121824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4121912Z     new_features = layer(features)
2025-11-03T16:31:38.4122122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4122260Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4122263Z 
2025-11-03T16:31:38.4122362Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4122551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4122626Z     return mod(*inputs)
2025-11-03T16:31:38.4122838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4122913Z     features = self.features(x)
2025-11-03T16:31:38.4123125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4123195Z     new_features = layer(features)
2025-11-03T16:31:38.4123410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4123509Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4123763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4123849Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4123852Z 
2025-11-03T16:31:38.4123963Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4124156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4124222Z     return mod(*inputs)
2025-11-03T16:31:38.4124443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4124512Z     features = self.features(x)
2025-11-03T16:31:38.4124743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4124816Z     new_features = layer(features)
2025-11-03T16:31:38.4125042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4125155Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4125385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4125559Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4125566Z 
2025-11-03T16:31:38.4125669Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4125873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4125946Z     return mod(*inputs)
2025-11-03T16:31:38.4126163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4126240Z     features = self.features(x)
2025-11-03T16:31:38.4126455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4126536Z     new_features = layer(features)
2025-11-03T16:31:38.4126753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4126854Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4127114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4127271Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4127275Z 
2025-11-03T16:31:38.4127379Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4127569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4127632Z     return mod(*inputs)
2025-11-03T16:31:38.4127854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4127925Z     features = self.features(x)
2025-11-03T16:31:38.4128147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4128215Z     new_features = layer(features)
2025-11-03T16:31:38.4128430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4128562Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4128565Z 
2025-11-03T16:31:38.4128662Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4128858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4128920Z     return mod(*inputs)
2025-11-03T16:31:38.4129140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4129207Z     features = self.features(x)
2025-11-03T16:31:38.4129443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4129521Z     new_features = layer(features)
2025-11-03T16:31:38.4129733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4129871Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4129874Z 
2025-11-03T16:31:38.4129974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4130160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4130230Z     return mod(*inputs)
2025-11-03T16:31:38.4130443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4130516Z     features = self.features(x)
2025-11-03T16:31:38.4130728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4130803Z     new_features = layer(features)
2025-11-03T16:31:38.4131013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4131112Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4131342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4131423Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4131427Z 
2025-11-03T16:31:38.4131530Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4131718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4131779Z     return mod(*inputs)
2025-11-03T16:31:38.4132001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4132066Z     features = self.features(x)
2025-11-03T16:31:38.4132289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4132356Z     new_features = layer(features)
2025-11-03T16:31:38.4132567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4132709Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4132930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4133097Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4133100Z 
2025-11-03T16:31:38.4133197Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4133390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4133453Z     return mod(*inputs)
2025-11-03T16:31:38.4133666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4133740Z     features = self.features(x)
2025-11-03T16:31:38.4133959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4134036Z     new_features = layer(features)
2025-11-03T16:31:38.4134241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4134337Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4134558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4134714Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4134718Z 
2025-11-03T16:31:38.4134820Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4135040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4135112Z     return mod(*inputs)
2025-11-03T16:31:38.4135318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4135387Z     features = self.features(x)
2025-11-03T16:31:38.4135600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4135668Z     new_features = layer(features)
2025-11-03T16:31:38.4135881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4136007Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4136009Z 
2025-11-03T16:31:38.4136107Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4136302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4136365Z     return mod(*inputs)
2025-11-03T16:31:38.4136578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4136644Z     features = self.features(x)
2025-11-03T16:31:38.4136859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4136927Z     new_features = layer(features)
2025-11-03T16:31:38.4137129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4137262Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4137265Z 
2025-11-03T16:31:38.4137361Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4137549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4137612Z     return mod(*inputs)
2025-11-03T16:31:38.4137821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4137897Z     features = self.features(x)
2025-11-03T16:31:38.4138103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4138209Z     new_features = layer(features)
2025-11-03T16:31:38.4138413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4138510Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4138735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4138815Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4138819Z 
2025-11-03T16:31:38.4138922Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4139106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4139173Z     return mod(*inputs)
2025-11-03T16:31:38.4139387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4139457Z     features = self.features(x)
2025-11-03T16:31:38.4139669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4139736Z     new_features = layer(features)
2025-11-03T16:31:38.4139951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4140049Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4140269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4140446Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4140476Z 
2025-11-03T16:31:38.4140575Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4140769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4140832Z     return mod(*inputs)
2025-11-03T16:31:38.4141051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4141118Z     features = self.features(x)
2025-11-03T16:31:38.4141329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4141406Z     new_features = layer(features)
2025-11-03T16:31:38.4141617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4141733Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4141953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4142110Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4142113Z 
2025-11-03T16:31:38.4142219Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4142405Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4142473Z     return mod(*inputs)
2025-11-03T16:31:38.4142681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4142747Z     features = self.features(x)
2025-11-03T16:31:38.4142962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4143029Z     new_features = layer(features)
2025-11-03T16:31:38.4143245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4143373Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4143376Z 
2025-11-03T16:31:38.4143478Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4143663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4143755Z     return mod(*inputs)
2025-11-03T16:31:38.4143970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4144034Z     features = self.features(x)
2025-11-03T16:31:38.4144244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4144310Z     new_features = layer(features)
2025-11-03T16:31:38.4144511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4144647Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4144650Z 
2025-11-03T16:31:38.4144748Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4144943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4145008Z     return mod(*inputs)
2025-11-03T16:31:38.4145238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4145302Z     features = self.features(x)
2025-11-03T16:31:38.4145507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4145580Z     new_features = layer(features)
2025-11-03T16:31:38.4145785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4145886Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4146133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4146215Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4146218Z 
2025-11-03T16:31:38.4146323Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4146512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4146582Z     return mod(*inputs)
2025-11-03T16:31:38.4146793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4146861Z     features = self.features(x)
2025-11-03T16:31:38.4147080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4147148Z     new_features = layer(features)
2025-11-03T16:31:38.4147366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4147464Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4147695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4147855Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4147860Z 
2025-11-03T16:31:38.4147958Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4148152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4148216Z     return mod(*inputs)
2025-11-03T16:31:38.4148434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4148505Z     features = self.features(x)
2025-11-03T16:31:38.4148715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4148793Z     new_features = layer(features)
2025-11-03T16:31:38.4149003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4149109Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4149333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4149525Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4149536Z 
2025-11-03T16:31:38.4149637Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4149829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4149900Z     return mod(*inputs)
2025-11-03T16:31:38.4150113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4150186Z     features = self.features(x)
2025-11-03T16:31:38.4150402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4150470Z     new_features = layer(features)
2025-11-03T16:31:38.4150691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4150821Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4150824Z 
2025-11-03T16:31:38.4150928Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4151123Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4151187Z     return mod(*inputs)
2025-11-03T16:31:38.4151412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4151481Z     features = self.features(x)
2025-11-03T16:31:38.4151740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4151812Z     new_features = layer(features)
2025-11-03T16:31:38.4152037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4152171Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4152174Z 
2025-11-03T16:31:38.4152274Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4152474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4152538Z     return mod(*inputs)
2025-11-03T16:31:38.4152761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4152828Z     features = self.features(x)
2025-11-03T16:31:38.4153045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4153124Z     new_features = layer(features)
2025-11-03T16:31:38.4153344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4153454Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4153682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4153768Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4153778Z 
2025-11-03T16:31:38.4153879Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4154073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4154146Z     return mod(*inputs)
2025-11-03T16:31:38.4154363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4154441Z     features = self.features(x)
2025-11-03T16:31:38.4154662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4154734Z     new_features = layer(features)
2025-11-03T16:31:38.4154959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4155103Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4155334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4155496Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4155499Z 
2025-11-03T16:31:38.4155599Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4155799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4155864Z     return mod(*inputs)
2025-11-03T16:31:38.4156089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4156159Z     features = self.features(x)
2025-11-03T16:31:38.4156380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4156452Z     new_features = layer(features)
2025-11-03T16:31:38.4156666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4156775Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4157000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4157167Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4157171Z 
2025-11-03T16:31:38.4157277Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4157510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4157660Z     return mod(*inputs)
2025-11-03T16:31:38.4157909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4157999Z     features = self.features(x)
2025-11-03T16:31:38.4158238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4158317Z     new_features = layer(features)
2025-11-03T16:31:38.4158564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4158716Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4158720Z 
2025-11-03T16:31:38.4158835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4159043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4159125Z     return mod(*inputs)
2025-11-03T16:31:38.4159365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4159434Z     features = self.features(x)
2025-11-03T16:31:38.4159661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4159735Z     new_features = layer(features)
2025-11-03T16:31:38.4159962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4160093Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4160097Z 
2025-11-03T16:31:38.4160200Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4160406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4160471Z     return mod(*inputs)
2025-11-03T16:31:38.4160701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4160772Z     features = self.features(x)
2025-11-03T16:31:38.4160997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4161104Z     new_features = layer(features)
2025-11-03T16:31:38.4161321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4161431Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4161660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4161753Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4161757Z 
2025-11-03T16:31:38.4161857Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4162055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4162129Z     return mod(*inputs)
2025-11-03T16:31:38.4162347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4162424Z     features = self.features(x)
2025-11-03T16:31:38.4162642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4162714Z     new_features = layer(features)
2025-11-03T16:31:38.4162948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4163057Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4163304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4163483Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4163487Z 
2025-11-03T16:31:38.4163626Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4163822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4163888Z     return mod(*inputs)
2025-11-03T16:31:38.4164121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4164191Z     features = self.features(x)
2025-11-03T16:31:38.4164418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4164490Z     new_features = layer(features)
2025-11-03T16:31:38.4164718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4164824Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4165046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4165213Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4165216Z 
2025-11-03T16:31:38.4165315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4165526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4165590Z     return mod(*inputs)
2025-11-03T16:31:38.4165803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4165878Z     features = self.features(x)
2025-11-03T16:31:38.4166091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4166168Z     new_features = layer(features)
2025-11-03T16:31:38.4166383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4166513Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4166516Z 
2025-11-03T16:31:38.4166625Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4166816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4167092Z     return mod(*inputs)
2025-11-03T16:31:38.4167313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4167382Z     features = self.features(x)
2025-11-03T16:31:38.4167608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4167678Z     new_features = layer(features)
2025-11-03T16:31:38.4167903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4168032Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4168039Z 
2025-11-03T16:31:38.4168146Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4168338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4168402Z     return mod(*inputs)
2025-11-03T16:31:38.4168629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4168696Z     features = self.features(x)
2025-11-03T16:31:38.4168917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4168987Z     new_features = layer(features)
2025-11-03T16:31:38.4169203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4169313Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4169602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4169696Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4169699Z 
2025-11-03T16:31:38.4169796Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4169991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4170059Z     return mod(*inputs)
2025-11-03T16:31:38.4170270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4170345Z     features = self.features(x)
2025-11-03T16:31:38.4170554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4170629Z     new_features = layer(features)
2025-11-03T16:31:38.4170841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4170944Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4171171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4171329Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4171336Z 
2025-11-03T16:31:38.4171442Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4171631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4171695Z     return mod(*inputs)
2025-11-03T16:31:38.4171914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4171980Z     features = self.features(x)
2025-11-03T16:31:38.4172198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4172267Z     new_features = layer(features)
2025-11-03T16:31:38.4172494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4172588Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4172803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4173022Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4173025Z 
2025-11-03T16:31:38.4173120Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4173312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4173374Z     return mod(*inputs)
2025-11-03T16:31:38.4173581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4173652Z     features = self.features(x)
2025-11-03T16:31:38.4173857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4173932Z     new_features = layer(features)
2025-11-03T16:31:38.4174139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4174272Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4174275Z 
2025-11-03T16:31:38.4174369Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4174552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4174622Z     return mod(*inputs)
2025-11-03T16:31:38.4174828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4174902Z     features = self.features(x)
2025-11-03T16:31:38.4175137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4175206Z     new_features = layer(features)
2025-11-03T16:31:38.4175428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4175554Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4175560Z 
2025-11-03T16:31:38.4175648Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4175726Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4175802Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4175884Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4175958Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4176038Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4176136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4176323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4176394Z     return mod(*inputs)
2025-11-03T16:31:38.4176607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4176680Z     features = self.features(x)
2025-11-03T16:31:38.4176888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-11-03T16:31:38.4176961Z     return torch.cat(features, 1)
2025-11-03T16:31:38.4176972Z 
2025-11-03T16:31:38.4177069Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4177256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4177325Z     return mod(*inputs)
2025-11-03T16:31:38.4177533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4177605Z     features = self.features(x)
2025-11-03T16:31:38.4177609Z 
2025-11-03T16:31:38.4177708Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4177894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4177964Z     return mod(*inputs)
2025-11-03T16:31:38.4178174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4178285Z     features = self.features(x)
2025-11-03T16:31:38.4178288Z 
2025-11-03T16:31:38.4178385Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4178572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4178641Z     return mod(*inputs)
2025-11-03T16:31:38.4178854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4178924Z     features = self.features(x)
2025-11-03T16:31:38.4179139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4179211Z     new_features = layer(features)
2025-11-03T16:31:38.4179433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4179534Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4179770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4179929Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4179933Z 
2025-11-03T16:31:38.4180038Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4180230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4180294Z     return mod(*inputs)
2025-11-03T16:31:38.4180518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4180610Z     features = self.features(x)
2025-11-03T16:31:38.4180830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4180911Z     new_features = layer(features)
2025-11-03T16:31:38.4181117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4181251Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4181254Z 
2025-11-03T16:31:38.4181350Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4181541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4181602Z     return mod(*inputs)
2025-11-03T16:31:38.4181818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4181884Z     features = self.features(x)
2025-11-03T16:31:38.4182118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4182196Z     new_features = layer(features)
2025-11-03T16:31:38.4182408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4182543Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4182547Z 
2025-11-03T16:31:38.4182646Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4182834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4182905Z     return mod(*inputs)
2025-11-03T16:31:38.4183117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4183190Z     features = self.features(x)
2025-11-03T16:31:38.4183402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4183470Z     new_features = layer(features)
2025-11-03T16:31:38.4183689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4183788Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4184044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4184128Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4184131Z 
2025-11-03T16:31:38.4184235Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4184424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4184487Z     return mod(*inputs)
2025-11-03T16:31:38.4184704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4184772Z     features = self.features(x)
2025-11-03T16:31:38.4184990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4185059Z     new_features = layer(features)
2025-11-03T16:31:38.4185268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4185378Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4185598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4185764Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4185767Z 
2025-11-03T16:31:38.4185865Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4186061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4186124Z     return mod(*inputs)
2025-11-03T16:31:38.4186367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4186446Z     features = self.features(x)
2025-11-03T16:31:38.4186657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4186735Z     new_features = layer(features)
2025-11-03T16:31:38.4186952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4187052Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4187282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4187441Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4187444Z 
2025-11-03T16:31:38.4187549Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4187745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4187816Z     return mod(*inputs)
2025-11-03T16:31:38.4188032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4188104Z     features = self.features(x)
2025-11-03T16:31:38.4188329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4188400Z     new_features = layer(features)
2025-11-03T16:31:38.4188626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4188758Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4188761Z 
2025-11-03T16:31:38.4188863Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4189072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4189137Z     return mod(*inputs)
2025-11-03T16:31:38.4189371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4189438Z     features = self.features(x)
2025-11-03T16:31:38.4189684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4189762Z     new_features = layer(features)
2025-11-03T16:31:38.4189974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4190107Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4190111Z 
2025-11-03T16:31:38.4190209Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4190404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4190467Z     return mod(*inputs)
2025-11-03T16:31:38.4190681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4190759Z     features = self.features(x)
2025-11-03T16:31:38.4190971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4191050Z     new_features = layer(features)
2025-11-03T16:31:38.4191263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4191363Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4191595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4191680Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4191683Z 
2025-11-03T16:31:38.4191788Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4192008Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4192080Z     return mod(*inputs)
2025-11-03T16:31:38.4192295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4192366Z     features = self.features(x)
2025-11-03T16:31:38.4192585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4192654Z     new_features = layer(features)
2025-11-03T16:31:38.4192874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4192973Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4193195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4193364Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4193368Z 
2025-11-03T16:31:38.4193468Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4193666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4193732Z     return mod(*inputs)
2025-11-03T16:31:38.4193947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4194024Z     features = self.features(x)
2025-11-03T16:31:38.4194237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4194314Z     new_features = layer(features)
2025-11-03T16:31:38.4194526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4194632Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4194857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4195019Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4195022Z 
2025-11-03T16:31:38.4195128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4195352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4195422Z     return mod(*inputs)
2025-11-03T16:31:38.4195635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4195703Z     features = self.features(x)
2025-11-03T16:31:38.4195923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4195992Z     new_features = layer(features)
2025-11-03T16:31:38.4196212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4196340Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4196343Z 
2025-11-03T16:31:38.4196447Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4196635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4196700Z     return mod(*inputs)
2025-11-03T16:31:38.4196919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4196986Z     features = self.features(x)
2025-11-03T16:31:38.4197200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4197269Z     new_features = layer(features)
2025-11-03T16:31:38.4197502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4197876Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4197883Z 
2025-11-03T16:31:38.4197999Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4198220Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4198294Z     return mod(*inputs)
2025-11-03T16:31:38.4198539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4198630Z     features = self.features(x)
2025-11-03T16:31:38.4198866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4198947Z     new_features = layer(features)
2025-11-03T16:31:38.4199178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4199294Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4199544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4199629Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4199632Z 
2025-11-03T16:31:38.4199741Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4199932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4200004Z     return mod(*inputs)
2025-11-03T16:31:38.4200216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4200284Z     features = self.features(x)
2025-11-03T16:31:38.4200504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4200574Z     new_features = layer(features)
2025-11-03T16:31:38.4200788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4200889Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4201114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4201280Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4201319Z 
2025-11-03T16:31:38.4201418Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4201614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4201678Z     return mod(*inputs)
2025-11-03T16:31:38.4201900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4201968Z     features = self.features(x)
2025-11-03T16:31:38.4202180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4202259Z     new_features = layer(features)
2025-11-03T16:31:38.4202471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4202579Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4202804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4202961Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4202973Z 
2025-11-03T16:31:38.4203073Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4203262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4203333Z     return mod(*inputs)
2025-11-03T16:31:38.4203549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4203626Z     features = self.features(x)
2025-11-03T16:31:38.4203865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4203936Z     new_features = layer(features)
2025-11-03T16:31:38.4204159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4204290Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4204294Z 
2025-11-03T16:31:38.4204400Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4204593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4204657Z     return mod(*inputs)
2025-11-03T16:31:38.4204879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4204944Z     features = self.features(x)
2025-11-03T16:31:38.4205169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4205240Z     new_features = layer(features)
2025-11-03T16:31:38.4205452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4205591Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4205594Z 
2025-11-03T16:31:38.4205694Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4205890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4205952Z     return mod(*inputs)
2025-11-03T16:31:38.4206176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4206242Z     features = self.features(x)
2025-11-03T16:31:38.4206459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4206538Z     new_features = layer(features)
2025-11-03T16:31:38.4206749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4206859Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4207109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4207192Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4207203Z 
2025-11-03T16:31:38.4207301Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4207489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4207558Z     return mod(*inputs)
2025-11-03T16:31:38.4207769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4207843Z     features = self.features(x)
2025-11-03T16:31:38.4208056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4208125Z     new_features = layer(features)
2025-11-03T16:31:38.4208341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4208442Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4208671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4208829Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4208833Z 
2025-11-03T16:31:38.4208930Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4209128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4209192Z     return mod(*inputs)
2025-11-03T16:31:38.4209436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4209505Z     features = self.features(x)
2025-11-03T16:31:38.4209718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4209797Z     new_features = layer(features)
2025-11-03T16:31:38.4210010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4210116Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4210340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4210505Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4210508Z 
2025-11-03T16:31:38.4210606Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4210799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4210872Z     return mod(*inputs)
2025-11-03T16:31:38.4211090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4211164Z     features = self.features(x)
2025-11-03T16:31:38.4211369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4211437Z     new_features = layer(features)
2025-11-03T16:31:38.4211652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4211775Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4211779Z 
2025-11-03T16:31:38.4211881Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4212067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4212138Z     return mod(*inputs)
2025-11-03T16:31:38.4212344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4212409Z     features = self.features(x)
2025-11-03T16:31:38.4212650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4212719Z     new_features = layer(features)
2025-11-03T16:31:38.4212935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4213059Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4213062Z 
2025-11-03T16:31:38.4213159Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4213356Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4213420Z     return mod(*inputs)
2025-11-03T16:31:38.4213644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4213710Z     features = self.features(x)
2025-11-03T16:31:38.4213922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4214002Z     new_features = layer(features)
2025-11-03T16:31:38.4214211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4214318Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4214539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4214630Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4214634Z 
2025-11-03T16:31:38.4214730Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4214948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4215020Z     return mod(*inputs)
2025-11-03T16:31:38.4215233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4215310Z     features = self.features(x)
2025-11-03T16:31:38.4215524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4215593Z     new_features = layer(features)
2025-11-03T16:31:38.4215817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4215916Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4216143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4216311Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4216316Z 
2025-11-03T16:31:38.4216421Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4216603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4216667Z     return mod(*inputs)
2025-11-03T16:31:38.4216883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4216948Z     features = self.features(x)
2025-11-03T16:31:38.4217163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4217232Z     new_features = layer(features)
2025-11-03T16:31:38.4217436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4217541Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4217757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4217919Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4217922Z 
2025-11-03T16:31:38.4218018Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4218242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4218303Z     return mod(*inputs)
2025-11-03T16:31:38.4218512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4218595Z     features = self.features(x)
2025-11-03T16:31:38.4218804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4218878Z     new_features = layer(features)
2025-11-03T16:31:38.4219084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4219209Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4219212Z 
2025-11-03T16:31:38.4219317Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4219502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4219572Z     return mod(*inputs)
2025-11-03T16:31:38.4219781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4219846Z     features = self.features(x)
2025-11-03T16:31:38.4220065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4220132Z     new_features = layer(features)
2025-11-03T16:31:38.4220346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4220508Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4220511Z 
2025-11-03T16:31:38.4220616Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4220797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4220862Z     return mod(*inputs)
2025-11-03T16:31:38.4221075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4221139Z     features = self.features(x)
2025-11-03T16:31:38.4221350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4221418Z     new_features = layer(features)
2025-11-03T16:31:38.4221622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4221728Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4221945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4222032Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4222035Z 
2025-11-03T16:31:38.4222128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4222315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4222385Z     return mod(*inputs)
2025-11-03T16:31:38.4222589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4222660Z     features = self.features(x)
2025-11-03T16:31:38.4222868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4222942Z     new_features = layer(features)
2025-11-03T16:31:38.4223146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4223246Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4223468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4223620Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4223652Z 
2025-11-03T16:31:38.4223756Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4223939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4224000Z     return mod(*inputs)
2025-11-03T16:31:38.4224214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4224280Z     features = self.features(x)
2025-11-03T16:31:38.4224492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4224559Z     new_features = layer(features)
2025-11-03T16:31:38.4224771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4224867Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4225080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4225246Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4225249Z 
2025-11-03T16:31:38.4225344Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4225535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4225596Z     return mod(*inputs)
2025-11-03T16:31:38.4225802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4225874Z     features = self.features(x)
2025-11-03T16:31:38.4226112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4226187Z     new_features = layer(features)
2025-11-03T16:31:38.4226394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4226520Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4226529Z 
2025-11-03T16:31:38.4226626Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4226812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4226882Z     return mod(*inputs)
2025-11-03T16:31:38.4227087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4227159Z     features = self.features(x)
2025-11-03T16:31:38.4227365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4227432Z     new_features = layer(features)
2025-11-03T16:31:38.4227642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4227765Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4227771Z 
2025-11-03T16:31:38.4227875Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4228059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4228120Z     return mod(*inputs)
2025-11-03T16:31:38.4228335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4228400Z     features = self.features(x)
2025-11-03T16:31:38.4228613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4228682Z     new_features = layer(features)
2025-11-03T16:31:38.4228891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4228987Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4229234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4229322Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4229325Z 
2025-11-03T16:31:38.4229422Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4229612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4229674Z     return mod(*inputs)
2025-11-03T16:31:38.4229882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4229954Z     features = self.features(x)
2025-11-03T16:31:38.4230165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4230243Z     new_features = layer(features)
2025-11-03T16:31:38.4230449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4230547Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4230773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4230927Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4230931Z 
2025-11-03T16:31:38.4231033Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4231221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4231289Z     return mod(*inputs)
2025-11-03T16:31:38.4231528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4231596Z     features = self.features(x)
2025-11-03T16:31:38.4231810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4231880Z     new_features = layer(features)
2025-11-03T16:31:38.4232096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4232192Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4232412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4232577Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4232580Z 
2025-11-03T16:31:38.4232676Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4232870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4232933Z     return mod(*inputs)
2025-11-03T16:31:38.4233151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4233217Z     features = self.features(x)
2025-11-03T16:31:38.4233425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4233500Z     new_features = layer(features)
2025-11-03T16:31:38.4233707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4233839Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4233842Z 
2025-11-03T16:31:38.4233938Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4234127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4234200Z     return mod(*inputs)
2025-11-03T16:31:38.4234408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4234481Z     features = self.features(x)
2025-11-03T16:31:38.4234690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4234792Z     new_features = layer(features)
2025-11-03T16:31:38.4235007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4235132Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4235135Z 
2025-11-03T16:31:38.4235238Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4235421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4235490Z     return mod(*inputs)
2025-11-03T16:31:38.4235696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4235761Z     features = self.features(x)
2025-11-03T16:31:38.4235972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4236042Z     new_features = layer(features)
2025-11-03T16:31:38.4236258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4236353Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4236566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4236653Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4236656Z 
2025-11-03T16:31:38.4236751Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4236968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4237031Z     return mod(*inputs)
2025-11-03T16:31:38.4237247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4237314Z     features = self.features(x)
2025-11-03T16:31:38.4237619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4237720Z     new_features = layer(features)
2025-11-03T16:31:38.4237958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4238078Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4238329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4238507Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4238511Z 
2025-11-03T16:31:38.4238646Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4238854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4238930Z     return mod(*inputs)
2025-11-03T16:31:38.4239167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4239249Z     features = self.features(x)
2025-11-03T16:31:38.4239479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4239552Z     new_features = layer(features)
2025-11-03T16:31:38.4239777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4239880Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4240125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4240291Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4240294Z 
2025-11-03T16:31:38.4240397Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4240607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4240717Z     return mod(*inputs)
2025-11-03T16:31:38.4240942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4241011Z     features = self.features(x)
2025-11-03T16:31:38.4241229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4241309Z     new_features = layer(features)
2025-11-03T16:31:38.4241526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4241668Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4241671Z 
2025-11-03T16:31:38.4241771Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4241973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4242042Z     return mod(*inputs)
2025-11-03T16:31:38.4242261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4242337Z     features = self.features(x)
2025-11-03T16:31:38.4242555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4242633Z     new_features = layer(features)
2025-11-03T16:31:38.4242850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4242981Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4243011Z 
2025-11-03T16:31:38.4243122Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4243317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4243389Z     return mod(*inputs)
2025-11-03T16:31:38.4243610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4243681Z     features = self.features(x)
2025-11-03T16:31:38.4243908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4243979Z     new_features = layer(features)
2025-11-03T16:31:38.4244199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4244301Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4244533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4244617Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4244620Z 
2025-11-03T16:31:38.4244720Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4244922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4244991Z     return mod(*inputs)
2025-11-03T16:31:38.4245215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4245283Z     features = self.features(x)
2025-11-03T16:31:38.4245498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4245578Z     new_features = layer(features)
2025-11-03T16:31:38.4245793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4245904Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4246131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4246294Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4246340Z 
2025-11-03T16:31:38.4246442Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4246637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4246710Z     return mod(*inputs)
2025-11-03T16:31:38.4246928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4247003Z     features = self.features(x)
2025-11-03T16:31:38.4247222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4247294Z     new_features = layer(features)
2025-11-03T16:31:38.4247523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4247624Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4247861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4248029Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4248032Z 
2025-11-03T16:31:38.4248142Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4248338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4248403Z     return mod(*inputs)
2025-11-03T16:31:38.4248631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4248701Z     features = self.features(x)
2025-11-03T16:31:38.4248956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4249030Z     new_features = layer(features)
2025-11-03T16:31:38.4249245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4249388Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4249391Z 
2025-11-03T16:31:38.4249493Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4249695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4249759Z     return mod(*inputs)
2025-11-03T16:31:38.4249977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4250054Z     features = self.features(x)
2025-11-03T16:31:38.4250271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4250352Z     new_features = layer(features)
2025-11-03T16:31:38.4250568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4250706Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4250712Z 
2025-11-03T16:31:38.4250813Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4251007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4251078Z     return mod(*inputs)
2025-11-03T16:31:38.4251295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4251369Z     features = self.features(x)
2025-11-03T16:31:38.4251587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4251658Z     new_features = layer(features)
2025-11-03T16:31:38.4251885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4251989Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4252223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4252336Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4252339Z 
2025-11-03T16:31:38.4252442Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4252644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4252709Z     return mod(*inputs)
2025-11-03T16:31:38.4252931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4253000Z     features = self.features(x)
2025-11-03T16:31:38.4253226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4253298Z     new_features = layer(features)
2025-11-03T16:31:38.4253515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4253625Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4253854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4254025Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4254028Z 
2025-11-03T16:31:38.4254127Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4254320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4254391Z     return mod(*inputs)
2025-11-03T16:31:38.4254635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4254714Z     features = self.features(x)
2025-11-03T16:31:38.4254934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4255006Z     new_features = layer(features)
2025-11-03T16:31:38.4255235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4255337Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4255575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4255740Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4255743Z 
2025-11-03T16:31:38.4255862Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4256052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4256115Z     return mod(*inputs)
2025-11-03T16:31:38.4256337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4256405Z     features = self.features(x)
2025-11-03T16:31:38.4256626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4256695Z     new_features = layer(features)
2025-11-03T16:31:38.4256905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4257042Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4257045Z 
2025-11-03T16:31:38.4257144Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4257341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4257404Z     return mod(*inputs)
2025-11-03T16:31:38.4257628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4257695Z     features = self.features(x)
2025-11-03T16:31:38.4257908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4258043Z     new_features = layer(features)
2025-11-03T16:31:38.4258252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4258386Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4258389Z 
2025-11-03T16:31:38.4258488Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4258676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4258747Z     return mod(*inputs)
2025-11-03T16:31:38.4258961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4259036Z     features = self.features(x)
2025-11-03T16:31:38.4259246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4259317Z     new_features = layer(features)
2025-11-03T16:31:38.4259535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4259634Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4259863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4259947Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4259950Z 
2025-11-03T16:31:38.4260058Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4260250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4260346Z     return mod(*inputs)
2025-11-03T16:31:38.4260572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4260640Z     features = self.features(x)
2025-11-03T16:31:38.4260864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4260937Z     new_features = layer(features)
2025-11-03T16:31:38.4261153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4261271Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4261490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4261656Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4261660Z 
2025-11-03T16:31:38.4261760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4261952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4262016Z     return mod(*inputs)
2025-11-03T16:31:38.4262227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4262303Z     features = self.features(x)
2025-11-03T16:31:38.4262514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4262589Z     new_features = layer(features)
2025-11-03T16:31:38.4262799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4262897Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4263126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4263288Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4263291Z 
2025-11-03T16:31:38.4263396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4263670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4263825Z     return mod(*inputs)
2025-11-03T16:31:38.4264043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4264114Z     features = self.features(x)
2025-11-03T16:31:38.4264341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4264413Z     new_features = layer(features)
2025-11-03T16:31:38.4264640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4264776Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4264780Z 
2025-11-03T16:31:38.4264882Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4265086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4265154Z     return mod(*inputs)
2025-11-03T16:31:38.4265387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4265461Z     features = self.features(x)
2025-11-03T16:31:38.4265696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4265781Z     new_features = layer(features)
2025-11-03T16:31:38.4266066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4266218Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4266222Z 
2025-11-03T16:31:38.4266367Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4266654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4266727Z     return mod(*inputs)
2025-11-03T16:31:38.4267179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4267276Z     features = self.features(x)
2025-11-03T16:31:38.4267516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4267602Z     new_features = layer(features)
2025-11-03T16:31:38.4267851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4267962Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4268222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4268316Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4268320Z 
2025-11-03T16:31:38.4268439Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4268662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4268735Z     return mod(*inputs)
2025-11-03T16:31:38.4268975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4269047Z     features = self.features(x)
2025-11-03T16:31:38.4269287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4269364Z     new_features = layer(features)
2025-11-03T16:31:38.4269603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4269710Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4269956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4270141Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4270204Z 
2025-11-03T16:31:38.4270308Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4270511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4270576Z     return mod(*inputs)
2025-11-03T16:31:38.4270795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4270874Z     features = self.features(x)
2025-11-03T16:31:38.4271092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4271171Z     new_features = layer(features)
2025-11-03T16:31:38.4271392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4271502Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4271770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4271938Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4271941Z 
2025-11-03T16:31:38.4272053Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4272249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4272323Z     return mod(*inputs)
2025-11-03T16:31:38.4272545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4272617Z     features = self.features(x)
2025-11-03T16:31:38.4272889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4272961Z     new_features = layer(features)
2025-11-03T16:31:38.4273188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4273333Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4273336Z 
2025-11-03T16:31:38.4273445Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4273640Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4273705Z     return mod(*inputs)
2025-11-03T16:31:38.4273928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4273997Z     features = self.features(x)
2025-11-03T16:31:38.4274222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4274294Z     new_features = layer(features)
2025-11-03T16:31:38.4274510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4274648Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4274654Z 
2025-11-03T16:31:38.4274753Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4274954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4275019Z     return mod(*inputs)
2025-11-03T16:31:38.4275238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4275317Z     features = self.features(x)
2025-11-03T16:31:38.4275534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4275614Z     new_features = layer(features)
2025-11-03T16:31:38.4275835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4275944Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4276171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4276288Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4276292Z 
2025-11-03T16:31:38.4276402Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4276596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4276666Z     return mod(*inputs)
2025-11-03T16:31:38.4276884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4276951Z     features = self.features(x)
2025-11-03T16:31:38.4277181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4277253Z     new_features = layer(features)
2025-11-03T16:31:38.4277475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4277632Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4277893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4278079Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4278083Z 
2025-11-03T16:31:38.4278192Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4278410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4278479Z     return mod(*inputs)
2025-11-03T16:31:38.4278722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4278830Z     features = self.features(x)
2025-11-03T16:31:38.4279076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4279160Z     new_features = layer(features)
2025-11-03T16:31:38.4279391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4279509Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4279751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4279924Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4279936Z 
2025-11-03T16:31:38.4280045Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4280252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4280331Z     return mod(*inputs)
2025-11-03T16:31:38.4280564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4280643Z     features = self.features(x)
2025-11-03T16:31:38.4280873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4280960Z     new_features = layer(features)
2025-11-03T16:31:38.4281182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4281313Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4281316Z 
2025-11-03T16:31:38.4281423Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4281615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4281678Z     return mod(*inputs)
2025-11-03T16:31:38.4281907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4281976Z     features = self.features(x)
2025-11-03T16:31:38.4282197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4282297Z     new_features = layer(features)
2025-11-03T16:31:38.4282520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4282660Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4282663Z 
2025-11-03T16:31:38.4282766Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4282968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4283033Z     return mod(*inputs)
2025-11-03T16:31:38.4283262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4283331Z     features = self.features(x)
2025-11-03T16:31:38.4283548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4283627Z     new_features = layer(features)
2025-11-03T16:31:38.4283847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4283957Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4284187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4284272Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4284275Z 
2025-11-03T16:31:38.4284386Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4284580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4284704Z     return mod(*inputs)
2025-11-03T16:31:38.4284921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4285000Z     features = self.features(x)
2025-11-03T16:31:38.4285218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4285292Z     new_features = layer(features)
2025-11-03T16:31:38.4285521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4285621Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4285855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4286018Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4286021Z 
2025-11-03T16:31:38.4286124Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4286326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4286390Z     return mod(*inputs)
2025-11-03T16:31:38.4286615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4286686Z     features = self.features(x)
2025-11-03T16:31:38.4286901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4286980Z     new_features = layer(features)
2025-11-03T16:31:38.4287197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4287305Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4287534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4287705Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4287708Z 
2025-11-03T16:31:38.4287809Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4288001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4288105Z     return mod(*inputs)
2025-11-03T16:31:38.4288327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4288403Z     features = self.features(x)
2025-11-03T16:31:38.4288620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4288691Z     new_features = layer(features)
2025-11-03T16:31:38.4288917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4289050Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4289055Z 
2025-11-03T16:31:38.4289164Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4289356Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4289427Z     return mod(*inputs)
2025-11-03T16:31:38.4289652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4289722Z     features = self.features(x)
2025-11-03T16:31:38.4289952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4290022Z     new_features = layer(features)
2025-11-03T16:31:38.4290248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4290380Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4290384Z 
2025-11-03T16:31:38.4290517Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4290720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4290785Z     return mod(*inputs)
2025-11-03T16:31:38.4291011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4291083Z     features = self.features(x)
2025-11-03T16:31:38.4291301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4291379Z     new_features = layer(features)
2025-11-03T16:31:38.4291593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4291702Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4291928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-11-03T16:31:38.4292024Z     concated_features = torch.cat(inputs, 1)
2025-11-03T16:31:38.4292027Z 
2025-11-03T16:31:38.4292128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4292319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4292397Z     return mod(*inputs)
2025-11-03T16:31:38.4292615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4292692Z     features = self.features(x)
2025-11-03T16:31:38.4292908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4292980Z     new_features = layer(features)
2025-11-03T16:31:38.4293203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4293305Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4293540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4293705Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4293708Z 
2025-11-03T16:31:38.4293847Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4294039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4294103Z     return mod(*inputs)
2025-11-03T16:31:38.4294327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4294396Z     features = self.features(x)
2025-11-03T16:31:38.4294625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4294706Z     new_features = layer(features)
2025-11-03T16:31:38.4294918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-11-03T16:31:38.4295025Z     bottleneck_output = self.bn_function(prev_features)
2025-11-03T16:31:38.4295248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-11-03T16:31:38.4295421Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-11-03T16:31:38.4295424Z 
2025-11-03T16:31:38.4295525Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4295725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4295791Z     return mod(*inputs)
2025-11-03T16:31:38.4296009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4296085Z     features = self.features(x)
2025-11-03T16:31:38.4296334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4296414Z     new_features = layer(features)
2025-11-03T16:31:38.4296643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4296771Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4296777Z 
2025-11-03T16:31:38.4296883Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4297076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4297149Z     return mod(*inputs)
2025-11-03T16:31:38.4297369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4297438Z     features = self.features(x)
2025-11-03T16:31:38.4297666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-11-03T16:31:38.4297750Z     new_features = layer(features)
2025-11-03T16:31:38.4297971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-11-03T16:31:38.4298101Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-11-03T16:31:38.4298107Z 
2025-11-03T16:31:38.4298195Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4298277Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4298353Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4298438Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4298515Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4298599Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4298675Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4298778Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4298979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4299045Z     return mod(*inputs)
2025-11-03T16:31:38.4299280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-11-03T16:31:38.4299348Z     features = self.features(x)
2025-11-03T16:31:38.4299581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-11-03T16:31:38.4299695Z     return torch.cat(features, 1)
2025-11-03T16:31:38.4299698Z 
2025-11-03T16:31:38.4299774Z cudagraph partition due to non gpu ops
2025-11-03T16:31:38.4299880Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4300071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4300136Z     return mod(*inputs)
2025-11-03T16:31:38.4300363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 215, in forward
2025-11-03T16:31:38.4300448Z     out = F.adaptive_avg_pool2d(out, (1, 1))
2025-11-03T16:31:38.4300451Z 
2025-11-03T16:31:38.4300562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:31:38.4300754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:31:38.4300820Z     return mod(*inputs)
2025-11-03T16:31:38.4301051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 217, in forward
2025-11-03T16:31:38.4301127Z     out = self.classifier(out)
2025-11-03T16:31:38.4301131Z 
2025-11-03T16:31:56.0333628Z Compilation time (from dynamo_timed): 34.868076596
2025-11-03T16:31:56.0334144Z pass
2025-11-03T16:31:56.0334519Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:56.0335856Z TIMING: _recursive_pre_grad_passes:0.01346 _recursive_joint_graph_passes:0.53684 _recursive_post_grad_passes:0.17293 async_compile.wait:1.73737 code_gen:17.76972 inductor_compile:21.10327 backend_compile:27.37037 gc:0.00103 entire_frame_compile:34.86808 total_wall_time:34.86808
2025-11-03T16:31:56.0337004Z STATS: call_* op count: 431 | FakeTensorMode.__torch_dispatch__:15683 | FakeTensor.__torch_dispatch__:13782 | ProxyTorchDispatchMode.__torch_dispatch__:6341
2025-11-03T16:31:56.0337630Z Dynamo produced 1 graphs covering 431 ops with 0 graph breaks (0 unique)
2025-11-03T16:31:58.7021294Z /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.
2025-11-03T16:31:58.7022209Z   import pynvml  # type: ignore[import]
2025-11-03T16:32:00.8608534Z 
2025-11-03T16:32:05.7157066Z loading model: 0it [00:00, ?it/s]W1103 16:32:05.714000 12773 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.
2025-11-03T16:32:13.2850156Z 
2025-11-03T16:32:13.2856440Z loading model: 0it [00:12, ?it/s]
2025-11-03T16:32:13.2873110Z cpu  eval  detectron2_fasterrcnn_r_101_c4     
2025-11-03T16:32:22.6059315Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_101_c4. Setting accuracy check to cosine
2025-11-03T16:32:22.6070079Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:38.1214064Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:53.6875545Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:32:55.9275921Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:55.9278394Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image
2025-11-03T16:32:55.9278951Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:32:55.9279553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in <listcomp>
2025-11-03T16:32:55.9280214Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:32:55.9280885Z 
2025-11-03T16:32:55.9281019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:55.9281602Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image
2025-11-03T16:32:55.9282081Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:32:55.9282520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in <listcomp>
2025-11-03T16:32:55.9282945Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:32:55.9283115Z 
2025-11-03T16:32:55.9283236Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:55.9283660Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image
2025-11-03T16:32:55.9284104Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:32:55.9284534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in <listcomp>
2025-11-03T16:32:55.9284980Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:32:55.9285155Z 
2025-11-03T16:32:55.9285261Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:32:55.9285687Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image
2025-11-03T16:32:55.9286120Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:32:55.9286645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in <listcomp>
2025-11-03T16:32:55.9287100Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:32:55.9287276Z 
2025-11-03T16:33:04.3753714Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:04.3754502Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:33:04.3754995Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:33:04.3755502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:33:04.3755962Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:33:04.3756406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:33:04.3756831Z     return torch.as_tensor(x, device=device)
2025-11-03T16:33:04.3757001Z 
2025-11-03T16:33:04.3757123Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:04.3757762Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:33:04.3758246Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:33:04.3758706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:33:04.3759173Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:33:04.3759622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:33:04.3760008Z     return torch.as_tensor(x, device=device)
2025-11-03T16:33:04.3760151Z 
2025-11-03T16:33:04.3760275Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:04.3760843Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:33:04.3761277Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:33:04.3761695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:33:04.3762475Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:33:04.3762886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:33:04.3763276Z     return torch.as_tensor(x, device=device)
2025-11-03T16:33:04.3763424Z 
2025-11-03T16:33:04.3763534Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:04.3763951Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:33:04.3764436Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:33:04.3764849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:33:04.3765272Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:33:04.3765750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:33:04.3766156Z     return torch.as_tensor(x, device=device)
2025-11-03T16:33:04.3766294Z 
2025-11-03T16:33:04.3766407Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:04.3766810Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors
2025-11-03T16:33:04.3767444Z     max_size = torch.stack(image_sizes_tensor).max(0).values
2025-11-03T16:33:04.3767620Z 
2025-11-03T16:33:04.3767724Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:04.3768248Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors
2025-11-03T16:33:04.3768661Z     max_size = torch.stack(image_sizes_tensor).max(0).values
2025-11-03T16:33:04.3768821Z 
2025-11-03T16:33:05.2443132Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9833595Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9833985Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9834202Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9834418Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9834629Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9834842Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9835045Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9835260Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9835470Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9835678Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9835879Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9836099Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9836307Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9836520Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9836734Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9836956Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9837182Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9837407Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9837925Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9838157Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9838388Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9838619Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9838849Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9839063Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9839268Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9839477Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9839688Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9839890Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9840138Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9840349Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9840552Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9841131Z cudagraph partition due to non gpu ops
2025-11-03T16:33:20.9841386Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9841929Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9842412Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9842816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:33:20.9843204Z     x = self.stem(x)
2025-11-03T16:33:20.9843567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:33:20.9843944Z     x = self.conv1(x)
2025-11-03T16:33:20.9844287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9844625Z     x = F.conv2d(
2025-11-03T16:33:20.9844738Z 
2025-11-03T16:33:20.9844847Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9845460Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9845956Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9846377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:33:20.9846741Z     x = self.stem(x)
2025-11-03T16:33:20.9847096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:33:20.9847666Z     x = F.relu_(x)
2025-11-03T16:33:20.9847769Z 
2025-11-03T16:33:20.9847884Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9848361Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9848819Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9849212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:33:20.9849579Z     x = self.stem(x)
2025-11-03T16:33:20.9849932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:33:20.9850355Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:33:20.9850531Z 
2025-11-03T16:33:20.9850639Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9851124Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9851578Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9851967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9852333Z     x = stage(x)
2025-11-03T16:33:20.9852680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:20.9853050Z     out = self.conv1(x)
2025-11-03T16:33:20.9853385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9853722Z     x = F.conv2d(
2025-11-03T16:33:20.9853824Z 
2025-11-03T16:33:20.9853929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9854405Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9854878Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9855270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9855672Z     x = stage(x)
2025-11-03T16:33:20.9856018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:20.9856394Z     out = F.relu_(out)
2025-11-03T16:33:20.9856499Z 
2025-11-03T16:33:20.9856614Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9857084Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9857524Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9857907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9858272Z     x = stage(x)
2025-11-03T16:33:20.9858626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:20.9859023Z     out = self.conv2(out)
2025-11-03T16:33:20.9859378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9859744Z     x = F.conv2d(
2025-11-03T16:33:20.9859842Z 
2025-11-03T16:33:20.9859959Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9860457Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9860924Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9861329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9861714Z     x = stage(x)
2025-11-03T16:33:20.9862116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:20.9862513Z     out = F.relu_(out)
2025-11-03T16:33:20.9862620Z 
2025-11-03T16:33:20.9862729Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9863250Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9863727Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9864134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9864525Z     x = stage(x)
2025-11-03T16:33:20.9864875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:20.9865274Z     out = self.conv3(out)
2025-11-03T16:33:20.9865639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9866009Z     x = F.conv2d(
2025-11-03T16:33:20.9866107Z 
2025-11-03T16:33:20.9866217Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9866728Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9867406Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9867822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9868215Z     x = stage(x)
2025-11-03T16:33:20.9868566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:33:20.9868981Z     shortcut = self.shortcut(x)
2025-11-03T16:33:20.9869360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9869733Z     x = F.conv2d(
2025-11-03T16:33:20.9869833Z 
2025-11-03T16:33:20.9870132Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9870620Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9871189Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9871602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9871994Z     x = stage(x)
2025-11-03T16:33:20.9872351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:20.9872737Z     out = self.conv1(x)
2025-11-03T16:33:20.9873087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9873454Z     x = F.conv2d(
2025-11-03T16:33:20.9873551Z 
2025-11-03T16:33:20.9873671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9874164Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9874677Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9875091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9875479Z     x = stage(x)
2025-11-03T16:33:20.9875827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:20.9876216Z     out = F.relu_(out)
2025-11-03T16:33:20.9876326Z 
2025-11-03T16:33:20.9876446Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9877008Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9877480Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9877973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9878388Z     x = stage(x)
2025-11-03T16:33:20.9878754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:20.9879156Z     out = self.conv2(out)
2025-11-03T16:33:20.9879521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9879902Z     x = F.conv2d(
2025-11-03T16:33:20.9880010Z 
2025-11-03T16:33:20.9880125Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9880638Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9881137Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9881556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9881962Z     x = stage(x)
2025-11-03T16:33:20.9882346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:20.9882747Z     out = F.relu_(out)
2025-11-03T16:33:20.9882857Z 
2025-11-03T16:33:20.9894472Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9895229Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9895745Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9896179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9896599Z     x = stage(x)
2025-11-03T16:33:20.9896971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:20.9897380Z     out = self.conv3(out)
2025-11-03T16:33:20.9897742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9898253Z     x = F.conv2d(
2025-11-03T16:33:20.9898369Z 
2025-11-03T16:33:20.9898494Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9899015Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9899519Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9899939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9900341Z     x = stage(x)
2025-11-03T16:33:20.9900716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:20.9901123Z     out = F.relu_(out)
2025-11-03T16:33:20.9901237Z 
2025-11-03T16:33:20.9901363Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9901871Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9902362Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9902774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9903168Z     x = stage(x)
2025-11-03T16:33:20.9903519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:20.9903918Z     out = self.conv1(x)
2025-11-03T16:33:20.9904338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9904708Z     x = F.conv2d(
2025-11-03T16:33:20.9904808Z 
2025-11-03T16:33:20.9904931Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9905422Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9905903Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9906311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9906699Z     x = stage(x)
2025-11-03T16:33:20.9907058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:20.9907443Z     out = F.relu_(out)
2025-11-03T16:33:20.9907567Z 
2025-11-03T16:33:20.9907683Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9908198Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9908689Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9909096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9909507Z     x = stage(x)
2025-11-03T16:33:20.9909861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:20.9910265Z     out = self.conv2(out)
2025-11-03T16:33:20.9910630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9910999Z     x = F.conv2d(
2025-11-03T16:33:20.9911110Z 
2025-11-03T16:33:20.9911226Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9911738Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9912230Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9912647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9913089Z     x = stage(x)
2025-11-03T16:33:20.9913456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:20.9913860Z     out = F.relu_(out)
2025-11-03T16:33:20.9913973Z 
2025-11-03T16:33:20.9914097Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9914606Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9915099Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9915518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9915919Z     x = stage(x)
2025-11-03T16:33:20.9916287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:20.9916693Z     out = self.conv3(out)
2025-11-03T16:33:20.9917064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9917448Z     x = F.conv2d(
2025-11-03T16:33:20.9917548Z 
2025-11-03T16:33:20.9917768Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9918288Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9918839Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9919313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9919710Z     x = stage(x)
2025-11-03T16:33:20.9920080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:20.9920484Z     out = F.relu_(out)
2025-11-03T16:33:20.9920607Z 
2025-11-03T16:33:20.9920720Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9921231Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9921721Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9922140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9922535Z     x = stage(x)
2025-11-03T16:33:20.9922964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:20.9923376Z     out = self.conv1(x)
2025-11-03T16:33:20.9923730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9924091Z     x = F.conv2d(
2025-11-03T16:33:20.9924188Z 
2025-11-03T16:33:20.9924299Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9924797Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9925268Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9925672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9926048Z     x = stage(x)
2025-11-03T16:33:20.9926402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:20.9926790Z     out = F.relu_(out)
2025-11-03T16:33:20.9926897Z 
2025-11-03T16:33:20.9927019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9927512Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9928023Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9928427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9928812Z     x = stage(x)
2025-11-03T16:33:20.9929166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:20.9929562Z     out = self.conv2(out)
2025-11-03T16:33:20.9929906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9930268Z     x = F.conv2d(
2025-11-03T16:33:20.9930373Z 
2025-11-03T16:33:20.9930489Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9930986Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9931454Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9931862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9932247Z     x = stage(x)
2025-11-03T16:33:20.9932601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:20.9932990Z     out = F.relu_(out)
2025-11-03T16:33:20.9933097Z 
2025-11-03T16:33:20.9933206Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9933699Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9934211Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9934624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9935011Z     x = stage(x)
2025-11-03T16:33:20.9935353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:20.9935754Z     out = self.conv3(out)
2025-11-03T16:33:20.9936106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9936478Z     x = F.conv2d(
2025-11-03T16:33:20.9936573Z 
2025-11-03T16:33:20.9936685Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9937184Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9937660Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9938067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9938454Z     x = stage(x)
2025-11-03T16:33:20.9938803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:33:20.9939206Z     shortcut = self.shortcut(x)
2025-11-03T16:33:20.9939570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9939936Z     x = F.conv2d(
2025-11-03T16:33:20.9940031Z 
2025-11-03T16:33:20.9940148Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9940636Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9941112Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9941516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9941901Z     x = stage(x)
2025-11-03T16:33:20.9942247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:20.9942675Z     out = self.conv1(x)
2025-11-03T16:33:20.9943023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9943388Z     x = F.conv2d(
2025-11-03T16:33:20.9943484Z 
2025-11-03T16:33:20.9943602Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9944098Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9944583Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9944991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9945386Z     x = stage(x)
2025-11-03T16:33:20.9945743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:20.9946126Z     out = F.relu_(out)
2025-11-03T16:33:20.9946240Z 
2025-11-03T16:33:20.9946356Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9946852Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9947331Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9947735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9948115Z     x = stage(x)
2025-11-03T16:33:20.9948468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:20.9948863Z     out = self.conv2(out)
2025-11-03T16:33:20.9949270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9949628Z     x = F.conv2d(
2025-11-03T16:33:20.9949735Z 
2025-11-03T16:33:20.9949845Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9950346Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9950827Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9951229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9951603Z     x = stage(x)
2025-11-03T16:33:20.9951957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:20.9952343Z     out = F.relu_(out)
2025-11-03T16:33:20.9952449Z 
2025-11-03T16:33:20.9952572Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9953066Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9953534Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9953939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9954333Z     x = stage(x)
2025-11-03T16:33:20.9954690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:20.9955082Z     out = self.conv3(out)
2025-11-03T16:33:20.9955431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9955798Z     x = F.conv2d(
2025-11-03T16:33:20.9955895Z 
2025-11-03T16:33:20.9956015Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9956517Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9956987Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9957392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9957923Z     x = stage(x)
2025-11-03T16:33:20.9958293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:20.9958698Z     out = F.relu_(out)
2025-11-03T16:33:20.9958811Z 
2025-11-03T16:33:20.9958925Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9959445Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9959927Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9960355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9960749Z     x = stage(x)
2025-11-03T16:33:20.9961117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:20.9961527Z     out = self.conv1(x)
2025-11-03T16:33:20.9961893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9962277Z     x = F.conv2d(
2025-11-03T16:33:20.9962377Z 
2025-11-03T16:33:20.9962490Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9963004Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9963494Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9963956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9964363Z     x = stage(x)
2025-11-03T16:33:20.9964717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:20.9965119Z     out = F.relu_(out)
2025-11-03T16:33:20.9965236Z 
2025-11-03T16:33:20.9965349Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9965863Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9966358Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9966774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9967446Z     x = stage(x)
2025-11-03T16:33:20.9967823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:20.9968241Z     out = self.conv2(out)
2025-11-03T16:33:20.9968608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9968995Z     x = F.conv2d(
2025-11-03T16:33:20.9969109Z 
2025-11-03T16:33:20.9969225Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9969737Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9970248Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9970624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9970997Z     x = stage(x)
2025-11-03T16:33:20.9971329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:20.9971694Z     out = F.relu_(out)
2025-11-03T16:33:20.9971796Z 
2025-11-03T16:33:20.9971900Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9972380Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9972973Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9973389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9973751Z     x = stage(x)
2025-11-03T16:33:20.9974077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:20.9974449Z     out = self.conv3(out)
2025-11-03T16:33:20.9974781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9975131Z     x = F.conv2d(
2025-11-03T16:33:20.9975223Z 
2025-11-03T16:33:20.9975341Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9975807Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9976263Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9976642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9977002Z     x = stage(x)
2025-11-03T16:33:20.9977328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:20.9977696Z     out = F.relu_(out)
2025-11-03T16:33:20.9977804Z 
2025-11-03T16:33:20.9977909Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9978448Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9978902Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9979277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9979648Z     x = stage(x)
2025-11-03T16:33:20.9979987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:20.9980360Z     out = self.conv1(x)
2025-11-03T16:33:20.9980687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9981031Z     x = F.conv2d(
2025-11-03T16:33:20.9981131Z 
2025-11-03T16:33:20.9981235Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9981713Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9982173Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9982549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9982916Z     x = stage(x)
2025-11-03T16:33:20.9983253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:20.9983625Z     out = F.relu_(out)
2025-11-03T16:33:20.9983726Z 
2025-11-03T16:33:20.9983838Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9984304Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9984766Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9985139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9985494Z     x = stage(x)
2025-11-03T16:33:20.9985821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:20.9986177Z     out = self.conv2(out)
2025-11-03T16:33:20.9986501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9986876Z     x = F.conv2d(
2025-11-03T16:33:20.9986967Z 
2025-11-03T16:33:20.9987075Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9987522Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9987959Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9988329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9988684Z     x = stage(x)
2025-11-03T16:33:20.9989010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:20.9989361Z     out = F.relu_(out)
2025-11-03T16:33:20.9989467Z 
2025-11-03T16:33:20.9989567Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9990021Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9990458Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9990829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9991178Z     x = stage(x)
2025-11-03T16:33:20.9991511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:20.9991882Z     out = self.conv3(out)
2025-11-03T16:33:20.9992215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9992593Z     x = F.conv2d(
2025-11-03T16:33:20.9992694Z 
2025-11-03T16:33:20.9992798Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9993266Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9993717Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9994099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9994472Z     x = stage(x)
2025-11-03T16:33:20.9994824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:20.9995210Z     out = F.relu_(out)
2025-11-03T16:33:20.9995317Z 
2025-11-03T16:33:20.9995433Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9995934Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9996403Z     features = self.backbone(images.tensor)
2025-11-03T16:33:20.9996804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:20.9997199Z     x = stage(x)
2025-11-03T16:33:20.9997549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:20.9998012Z     out = self.conv1(x)
2025-11-03T16:33:20.9998368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:20.9998746Z     x = F.conv2d(
2025-11-03T16:33:20.9998847Z 
2025-11-03T16:33:20.9998972Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:20.9999495Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:20.9999960Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0000338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0000754Z     x = stage(x)
2025-11-03T16:33:21.0001089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0001461Z     out = F.relu_(out)
2025-11-03T16:33:21.0001562Z 
2025-11-03T16:33:21.0001667Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0002132Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0002589Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0002961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0003327Z     x = stage(x)
2025-11-03T16:33:21.0003659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0004031Z     out = self.conv2(out)
2025-11-03T16:33:21.0004369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0004716Z     x = F.conv2d(
2025-11-03T16:33:21.0004806Z 
2025-11-03T16:33:21.0004911Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0005383Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0005831Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0006208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0006571Z     x = stage(x)
2025-11-03T16:33:21.0006938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0007309Z     out = F.relu_(out)
2025-11-03T16:33:21.0007418Z 
2025-11-03T16:33:21.0007525Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0008006Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0008462Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0008844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0009215Z     x = stage(x)
2025-11-03T16:33:21.0009557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0009938Z     out = self.conv3(out)
2025-11-03T16:33:21.0010270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0010620Z     x = F.conv2d(
2025-11-03T16:33:21.0010719Z 
2025-11-03T16:33:21.0010824Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0011305Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0011763Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0012139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0012506Z     x = stage(x)
2025-11-03T16:33:21.0012867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:33:21.0013254Z     shortcut = self.shortcut(x)
2025-11-03T16:33:21.0013601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0013949Z     x = F.conv2d(
2025-11-03T16:33:21.0014048Z 
2025-11-03T16:33:21.0014153Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0014637Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0015129Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0015503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0015867Z     x = stage(x)
2025-11-03T16:33:21.0016203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0016574Z     out = self.conv1(x)
2025-11-03T16:33:21.0016907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0017255Z     x = F.conv2d(
2025-11-03T16:33:21.0017358Z 
2025-11-03T16:33:21.0017463Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0017930Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0018387Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0018770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0019118Z     x = stage(x)
2025-11-03T16:33:21.0019442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0019800Z     out = F.relu_(out)
2025-11-03T16:33:21.0019899Z 
2025-11-03T16:33:21.0020010Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0020506Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0020958Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0021340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0021707Z     x = stage(x)
2025-11-03T16:33:21.0022043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0022411Z     out = self.conv2(out)
2025-11-03T16:33:21.0022744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0023092Z     x = F.conv2d(
2025-11-03T16:33:21.0023182Z 
2025-11-03T16:33:21.0023294Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0023766Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0024215Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0024587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0024943Z     x = stage(x)
2025-11-03T16:33:21.0025277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0025634Z     out = F.relu_(out)
2025-11-03T16:33:21.0025742Z 
2025-11-03T16:33:21.0025845Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0026315Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0026763Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0027145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0027507Z     x = stage(x)
2025-11-03T16:33:21.0027846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0028207Z     out = self.conv3(out)
2025-11-03T16:33:21.0028531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0028907Z     x = F.conv2d(
2025-11-03T16:33:21.0028995Z 
2025-11-03T16:33:21.0029096Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0029556Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0029994Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0030374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0030744Z     x = stage(x)
2025-11-03T16:33:21.0031069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0031429Z     out = F.relu_(out)
2025-11-03T16:33:21.0031527Z 
2025-11-03T16:33:21.0031636Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0032111Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0032556Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0032943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0033309Z     x = stage(x)
2025-11-03T16:33:21.0033645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0034014Z     out = self.conv1(x)
2025-11-03T16:33:21.0034376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0034739Z     x = F.conv2d(
2025-11-03T16:33:21.0034831Z 
2025-11-03T16:33:21.0034935Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0035403Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0035857Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0036240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0036610Z     x = stage(x)
2025-11-03T16:33:21.0036940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0037310Z     out = F.relu_(out)
2025-11-03T16:33:21.0037409Z 
2025-11-03T16:33:21.0037528Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0038137Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0038625Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0039043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0039438Z     x = stage(x)
2025-11-03T16:33:21.0039771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0040145Z     out = self.conv2(out)
2025-11-03T16:33:21.0040475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0040823Z     x = F.conv2d(
2025-11-03T16:33:21.0040922Z 
2025-11-03T16:33:21.0041027Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0041500Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0041947Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0042311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0042731Z     x = stage(x)
2025-11-03T16:33:21.0043064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0043437Z     out = F.relu_(out)
2025-11-03T16:33:21.0043536Z 
2025-11-03T16:33:21.0043641Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0044110Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0044562Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0044945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0045314Z     x = stage(x)
2025-11-03T16:33:21.0045641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0046024Z     out = self.conv3(out)
2025-11-03T16:33:21.0046357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0046703Z     x = F.conv2d(
2025-11-03T16:33:21.0046795Z 
2025-11-03T16:33:21.0046905Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0047363Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0047814Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0048237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0048606Z     x = stage(x)
2025-11-03T16:33:21.0048931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0049298Z     out = F.relu_(out)
2025-11-03T16:33:21.0049410Z 
2025-11-03T16:33:21.0049514Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0049986Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0050435Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0050812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0051180Z     x = stage(x)
2025-11-03T16:33:21.0051515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0051886Z     out = self.conv1(x)
2025-11-03T16:33:21.0052214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0052552Z     x = F.conv2d(
2025-11-03T16:33:21.0052650Z 
2025-11-03T16:33:21.0052754Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0053227Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0053674Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0054048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0054412Z     x = stage(x)
2025-11-03T16:33:21.0054746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0055115Z     out = F.relu_(out)
2025-11-03T16:33:21.0055215Z 
2025-11-03T16:33:21.0055328Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0055799Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0056293Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0056663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0057019Z     x = stage(x)
2025-11-03T16:33:21.0057341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0057694Z     out = self.conv2(out)
2025-11-03T16:33:21.0058021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0058365Z     x = F.conv2d(
2025-11-03T16:33:21.0058455Z 
2025-11-03T16:33:21.0058569Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0059030Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0059477Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0059859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0060227Z     x = stage(x)
2025-11-03T16:33:21.0060556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0060918Z     out = F.relu_(out)
2025-11-03T16:33:21.0061024Z 
2025-11-03T16:33:21.0061126Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0061592Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0062087Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0062461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0062811Z     x = stage(x)
2025-11-03T16:33:21.0063136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0063498Z     out = self.conv3(out)
2025-11-03T16:33:21.0063826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0064160Z     x = F.conv2d(
2025-11-03T16:33:21.0064257Z 
2025-11-03T16:33:21.0064358Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0064816Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0065265Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0065651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0066007Z     x = stage(x)
2025-11-03T16:33:21.0066339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0066708Z     out = F.relu_(out)
2025-11-03T16:33:21.0066820Z 
2025-11-03T16:33:21.0067151Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0067629Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0068074Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0068455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0068826Z     x = stage(x)
2025-11-03T16:33:21.0069165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0069528Z     out = self.conv1(x)
2025-11-03T16:33:21.0069860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0070206Z     x = F.conv2d(
2025-11-03T16:33:21.0070389Z 
2025-11-03T16:33:21.0070502Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0070974Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0071413Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0071795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0072162Z     x = stage(x)
2025-11-03T16:33:21.0072498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0072872Z     out = F.relu_(out)
2025-11-03T16:33:21.0072974Z 
2025-11-03T16:33:21.0073080Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0073554Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0074006Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0074387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0074741Z     x = stage(x)
2025-11-03T16:33:21.0075073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0075441Z     out = self.conv2(out)
2025-11-03T16:33:21.0075770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0076112Z     x = F.conv2d(
2025-11-03T16:33:21.0076266Z 
2025-11-03T16:33:21.0076372Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0076841Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0077293Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0077742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0078106Z     x = stage(x)
2025-11-03T16:33:21.0078429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0078831Z     out = F.relu_(out)
2025-11-03T16:33:21.0078947Z 
2025-11-03T16:33:21.0079070Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0079571Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0080041Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0080443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0080831Z     x = stage(x)
2025-11-03T16:33:21.0081185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0081580Z     out = self.conv3(out)
2025-11-03T16:33:21.0081927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0082291Z     x = F.conv2d(
2025-11-03T16:33:21.0082395Z 
2025-11-03T16:33:21.0082504Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0083007Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0083483Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0083876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0084257Z     x = stage(x)
2025-11-03T16:33:21.0084609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0085053Z     out = F.relu_(out)
2025-11-03T16:33:21.0085159Z 
2025-11-03T16:33:21.0085268Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0085767Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0086248Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0086653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0087038Z     x = stage(x)
2025-11-03T16:33:21.0087388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0087784Z     out = self.conv1(x)
2025-11-03T16:33:21.0088129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0088499Z     x = F.conv2d(
2025-11-03T16:33:21.0088594Z 
2025-11-03T16:33:21.0088710Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0089204Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0089687Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0090093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0090481Z     x = stage(x)
2025-11-03T16:33:21.0090902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0091276Z     out = F.relu_(out)
2025-11-03T16:33:21.0091385Z 
2025-11-03T16:33:21.0091489Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0091957Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0092412Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0092788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0093170Z     x = stage(x)
2025-11-03T16:33:21.0093505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0093877Z     out = self.conv2(out)
2025-11-03T16:33:21.0094209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0094543Z     x = F.conv2d(
2025-11-03T16:33:21.0094643Z 
2025-11-03T16:33:21.0094747Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0095216Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0095671Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0096045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0096409Z     x = stage(x)
2025-11-03T16:33:21.0096744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0097115Z     out = F.relu_(out)
2025-11-03T16:33:21.0097216Z 
2025-11-03T16:33:21.0097327Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0097795Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0098247Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0098628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0099048Z     x = stage(x)
2025-11-03T16:33:21.0099384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0099758Z     out = self.conv3(out)
2025-11-03T16:33:21.0100100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0100452Z     x = F.conv2d(
2025-11-03T16:33:21.0100544Z 
2025-11-03T16:33:21.0100657Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0101124Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0101579Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0101961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0102332Z     x = stage(x)
2025-11-03T16:33:21.0102663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0103037Z     out = F.relu_(out)
2025-11-03T16:33:21.0103147Z 
2025-11-03T16:33:21.0103251Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0103726Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0104177Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0104625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0104990Z     x = stage(x)
2025-11-03T16:33:21.0105324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0105698Z     out = self.conv1(x)
2025-11-03T16:33:21.0106029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0106370Z     x = F.conv2d(
2025-11-03T16:33:21.0106469Z 
2025-11-03T16:33:21.0106575Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0107048Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0107500Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0107883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0108247Z     x = stage(x)
2025-11-03T16:33:21.0108588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0108963Z     out = F.relu_(out)
2025-11-03T16:33:21.0109063Z 
2025-11-03T16:33:21.0109178Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0109651Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0110100Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0110484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0110850Z     x = stage(x)
2025-11-03T16:33:21.0111186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0111553Z     out = self.conv2(out)
2025-11-03T16:33:21.0111892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0112239Z     x = F.conv2d(
2025-11-03T16:33:21.0112330Z 
2025-11-03T16:33:21.0112440Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0112951Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0113397Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0113783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0114158Z     x = stage(x)
2025-11-03T16:33:21.0114494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0114865Z     out = F.relu_(out)
2025-11-03T16:33:21.0114965Z 
2025-11-03T16:33:21.0115070Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0115541Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0115990Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0116377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0116744Z     x = stage(x)
2025-11-03T16:33:21.0117072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0117458Z     out = self.conv3(out)
2025-11-03T16:33:21.0117919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0118315Z     x = F.conv2d(
2025-11-03T16:33:21.0118417Z 
2025-11-03T16:33:21.0118531Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0119109Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0119594Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0120012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0120414Z     x = stage(x)
2025-11-03T16:33:21.0120772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0121191Z     out = F.relu_(out)
2025-11-03T16:33:21.0121307Z 
2025-11-03T16:33:21.0121421Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0121929Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0122416Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0122822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0123217Z     x = stage(x)
2025-11-03T16:33:21.0123578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0123986Z     out = self.conv1(x)
2025-11-03T16:33:21.0124332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0124710Z     x = F.conv2d(
2025-11-03T16:33:21.0124815Z 
2025-11-03T16:33:21.0124927Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0125437Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0125919Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0126328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0126722Z     x = stage(x)
2025-11-03T16:33:21.0127084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0127531Z     out = F.relu_(out)
2025-11-03T16:33:21.0127637Z 
2025-11-03T16:33:21.0127745Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0128239Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0128687Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0129064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0129423Z     x = stage(x)
2025-11-03T16:33:21.0129747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0130116Z     out = self.conv2(out)
2025-11-03T16:33:21.0130445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0130786Z     x = F.conv2d(
2025-11-03T16:33:21.0130880Z 
2025-11-03T16:33:21.0130989Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0131453Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0131899Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0132278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0132643Z     x = stage(x)
2025-11-03T16:33:21.0132967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0133333Z     out = F.relu_(out)
2025-11-03T16:33:21.0133481Z 
2025-11-03T16:33:21.0133587Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0134057Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0134509Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0134889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0135254Z     x = stage(x)
2025-11-03T16:33:21.0135588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0135955Z     out = self.conv3(out)
2025-11-03T16:33:21.0136290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0136627Z     x = F.conv2d(
2025-11-03T16:33:21.0136726Z 
2025-11-03T16:33:21.0136831Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0137298Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0137745Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0138125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0138483Z     x = stage(x)
2025-11-03T16:33:21.0138814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0139178Z     out = F.relu_(out)
2025-11-03T16:33:21.0139277Z 
2025-11-03T16:33:21.0139388Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0139843Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0140293Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0140672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0141036Z     x = stage(x)
2025-11-03T16:33:21.0141410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0141773Z     out = self.conv1(x)
2025-11-03T16:33:21.0142098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0142426Z     x = F.conv2d(
2025-11-03T16:33:21.0142512Z 
2025-11-03T16:33:21.0142617Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0143057Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0143482Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0143846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0144193Z     x = stage(x)
2025-11-03T16:33:21.0144509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0144852Z     out = F.relu_(out)
2025-11-03T16:33:21.0144955Z 
2025-11-03T16:33:21.0145050Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0145489Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0145913Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0146270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0146610Z     x = stage(x)
2025-11-03T16:33:21.0146959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0147323Z     out = self.conv2(out)
2025-11-03T16:33:21.0147649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0147984Z     x = F.conv2d(
2025-11-03T16:33:21.0148079Z 
2025-11-03T16:33:21.0148179Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0148635Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0149077Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0149447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0149794Z     x = stage(x)
2025-11-03T16:33:21.0150127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0150494Z     out = F.relu_(out)
2025-11-03T16:33:21.0150592Z 
2025-11-03T16:33:21.0150705Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0151182Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0151634Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0152018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0152392Z     x = stage(x)
2025-11-03T16:33:21.0152731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0153107Z     out = self.conv3(out)
2025-11-03T16:33:21.0153440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0153790Z     x = F.conv2d(
2025-11-03T16:33:21.0153881Z 
2025-11-03T16:33:21.0153994Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0154470Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0154978Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0155377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0155764Z     x = stage(x)
2025-11-03T16:33:21.0156114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0156501Z     out = F.relu_(out)
2025-11-03T16:33:21.0156608Z 
2025-11-03T16:33:21.0156717Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0157213Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0157782Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0158208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0158625Z     x = stage(x)
2025-11-03T16:33:21.0158972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0159369Z     out = self.conv1(x)
2025-11-03T16:33:21.0159702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0160089Z     x = F.conv2d(
2025-11-03T16:33:21.0160192Z 
2025-11-03T16:33:21.0160308Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0160895Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0161391Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0161805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0162210Z     x = stage(x)
2025-11-03T16:33:21.0162569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0162978Z     out = F.relu_(out)
2025-11-03T16:33:21.0163093Z 
2025-11-03T16:33:21.0163204Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0163720Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0164209Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0164614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0165014Z     x = stage(x)
2025-11-03T16:33:21.0165380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0165806Z     out = self.conv2(out)
2025-11-03T16:33:21.0166122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0166459Z     x = F.conv2d(
2025-11-03T16:33:21.0166553Z 
2025-11-03T16:33:21.0166653Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0167267Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0167712Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0168077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0168434Z     x = stage(x)
2025-11-03T16:33:21.0168764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0169126Z     out = F.relu_(out)
2025-11-03T16:33:21.0169226Z 
2025-11-03T16:33:21.0169337Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0169872Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0170309Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0170675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0171029Z     x = stage(x)
2025-11-03T16:33:21.0171345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0171717Z     out = self.conv3(out)
2025-11-03T16:33:21.0172045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0172383Z     x = F.conv2d(
2025-11-03T16:33:21.0172473Z 
2025-11-03T16:33:21.0172586Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0173037Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0173475Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0173847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0174203Z     x = stage(x)
2025-11-03T16:33:21.0174524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0174875Z     out = F.relu_(out)
2025-11-03T16:33:21.0174982Z 
2025-11-03T16:33:21.0175083Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0175607Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0176049Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0176414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0176773Z     x = stage(x)
2025-11-03T16:33:21.0177099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0177463Z     out = self.conv1(x)
2025-11-03T16:33:21.0177783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0178114Z     x = F.conv2d(
2025-11-03T16:33:21.0178210Z 
2025-11-03T16:33:21.0178315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0178793Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0179247Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0179634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0179996Z     x = stage(x)
2025-11-03T16:33:21.0180333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0180692Z     out = F.relu_(out)
2025-11-03T16:33:21.0180789Z 
2025-11-03T16:33:21.0180896Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0181347Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0181773Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0182141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0182495Z     x = stage(x)
2025-11-03T16:33:21.0182816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0183213Z     out = self.conv2(out)
2025-11-03T16:33:21.0183540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0183883Z     x = F.conv2d(
2025-11-03T16:33:21.0183972Z 
2025-11-03T16:33:21.0184080Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0184538Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0184969Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0185340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0185696Z     x = stage(x)
2025-11-03T16:33:21.0186020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0186376Z     out = F.relu_(out)
2025-11-03T16:33:21.0186486Z 
2025-11-03T16:33:21.0186587Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0187049Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0187488Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0187856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0188216Z     x = stage(x)
2025-11-03T16:33:21.0188552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0188965Z     out = self.conv3(out)
2025-11-03T16:33:21.0189303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0189648Z     x = F.conv2d(
2025-11-03T16:33:21.0189740Z 
2025-11-03T16:33:21.0189844Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0190322Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0190775Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0191158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0191519Z     x = stage(x)
2025-11-03T16:33:21.0191853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0192222Z     out = F.relu_(out)
2025-11-03T16:33:21.0192324Z 
2025-11-03T16:33:21.0192437Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0192909Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0193352Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0193738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0194104Z     x = stage(x)
2025-11-03T16:33:21.0194439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0194811Z     out = self.conv1(x)
2025-11-03T16:33:21.0195130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0195473Z     x = F.conv2d(
2025-11-03T16:33:21.0195571Z 
2025-11-03T16:33:21.0195677Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0196145Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0196590Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0197009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0197374Z     x = stage(x)
2025-11-03T16:33:21.0197817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0198215Z     out = F.relu_(out)
2025-11-03T16:33:21.0198322Z 
2025-11-03T16:33:21.0198432Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0198930Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0199408Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0199809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0200176Z     x = stage(x)
2025-11-03T16:33:21.0200501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0200881Z     out = self.conv2(out)
2025-11-03T16:33:21.0201217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0201567Z     x = F.conv2d(
2025-11-03T16:33:21.0201659Z 
2025-11-03T16:33:21.0201927Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0202392Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0202839Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0203262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0203630Z     x = stage(x)
2025-11-03T16:33:21.0203959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0204334Z     out = F.relu_(out)
2025-11-03T16:33:21.0204442Z 
2025-11-03T16:33:21.0204548Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0205016Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0205465Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0205839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0206207Z     x = stage(x)
2025-11-03T16:33:21.0206544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0206925Z     out = self.conv3(out)
2025-11-03T16:33:21.0207250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0207583Z     x = F.conv2d(
2025-11-03T16:33:21.0207680Z 
2025-11-03T16:33:21.0207783Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0208244Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0208681Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0209041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0209398Z     x = stage(x)
2025-11-03T16:33:21.0209724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0210082Z     out = F.relu_(out)
2025-11-03T16:33:21.0210178Z 
2025-11-03T16:33:21.0210288Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0210735Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0211218Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0211583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0211933Z     x = stage(x)
2025-11-03T16:33:21.0212256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0212608Z     out = self.conv1(x)
2025-11-03T16:33:21.0212923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0213254Z     x = F.conv2d(
2025-11-03T16:33:21.0213345Z 
2025-11-03T16:33:21.0213453Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0213901Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0214337Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0214706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0215059Z     x = stage(x)
2025-11-03T16:33:21.0215384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0215743Z     out = F.relu_(out)
2025-11-03T16:33:21.0215852Z 
2025-11-03T16:33:21.0215956Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0216462Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0216912Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0217290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0217653Z     x = stage(x)
2025-11-03T16:33:21.0217988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0218358Z     out = self.conv2(out)
2025-11-03T16:33:21.0218691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0219029Z     x = F.conv2d(
2025-11-03T16:33:21.0219129Z 
2025-11-03T16:33:21.0219234Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0219702Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0220154Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0220536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0220892Z     x = stage(x)
2025-11-03T16:33:21.0221227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0221596Z     out = F.relu_(out)
2025-11-03T16:33:21.0221697Z 
2025-11-03T16:33:21.0221807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0222275Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0222705Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0223065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0223409Z     x = stage(x)
2025-11-03T16:33:21.0223727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0224071Z     out = self.conv3(out)
2025-11-03T16:33:21.0224391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0224757Z     x = F.conv2d(
2025-11-03T16:33:21.0224845Z 
2025-11-03T16:33:21.0224953Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0225402Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0225820Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0226186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0226530Z     x = stage(x)
2025-11-03T16:33:21.0226851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0227203Z     out = F.relu_(out)
2025-11-03T16:33:21.0227298Z 
2025-11-03T16:33:21.0227396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0227842Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0228267Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0228632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0228689Z     x = stage(x)
2025-11-03T16:33:21.0228934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0228996Z     out = self.conv1(x)
2025-11-03T16:33:21.0229240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0229305Z     x = F.conv2d(
2025-11-03T16:33:21.0229309Z 
2025-11-03T16:33:21.0229404Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0229698Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0229778Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0230003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0230067Z     x = stage(x)
2025-11-03T16:33:21.0230293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0230360Z     out = F.relu_(out)
2025-11-03T16:33:21.0230363Z 
2025-11-03T16:33:21.0230460Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0230755Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0230831Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0231058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0231125Z     x = stage(x)
2025-11-03T16:33:21.0231352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0231422Z     out = self.conv2(out)
2025-11-03T16:33:21.0231629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0231686Z     x = F.conv2d(
2025-11-03T16:33:21.0231690Z 
2025-11-03T16:33:21.0231794Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0232083Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0232168Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0232392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0232493Z     x = stage(x)
2025-11-03T16:33:21.0232733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0232795Z     out = F.relu_(out)
2025-11-03T16:33:21.0232799Z 
2025-11-03T16:33:21.0232906Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0233202Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0233288Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0233525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0233583Z     x = stage(x)
2025-11-03T16:33:21.0233827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0233893Z     out = self.conv3(out)
2025-11-03T16:33:21.0234119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0234179Z     x = F.conv2d(
2025-11-03T16:33:21.0234183Z 
2025-11-03T16:33:21.0234286Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0234600Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0234684Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0234939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0235033Z     x = stage(x)
2025-11-03T16:33:21.0235275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0235335Z     out = F.relu_(out)
2025-11-03T16:33:21.0235339Z 
2025-11-03T16:33:21.0235442Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0235755Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0235835Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0236078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0236148Z     x = stage(x)
2025-11-03T16:33:21.0236384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0236457Z     out = self.conv1(x)
2025-11-03T16:33:21.0236676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0236744Z     x = F.conv2d(
2025-11-03T16:33:21.0236747Z 
2025-11-03T16:33:21.0236846Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0237156Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0237236Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0237473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0237541Z     x = stage(x)
2025-11-03T16:33:21.0237855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0237936Z     out = F.relu_(out)
2025-11-03T16:33:21.0237940Z 
2025-11-03T16:33:21.0238052Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0238378Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0238475Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0238780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0238852Z     x = stage(x)
2025-11-03T16:33:21.0239119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0239197Z     out = self.conv2(out)
2025-11-03T16:33:21.0239430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0239493Z     x = F.conv2d(
2025-11-03T16:33:21.0239497Z 
2025-11-03T16:33:21.0239613Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0239939Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0240032Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0240283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0240348Z     x = stage(x)
2025-11-03T16:33:21.0240606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0240669Z     out = F.relu_(out)
2025-11-03T16:33:21.0240672Z 
2025-11-03T16:33:21.0240778Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0241086Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0241172Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0241534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0241596Z     x = stage(x)
2025-11-03T16:33:21.0241843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0241913Z     out = self.conv3(out)
2025-11-03T16:33:21.0242140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0242200Z     x = F.conv2d(
2025-11-03T16:33:21.0242203Z 
2025-11-03T16:33:21.0242304Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0242615Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0242694Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0242940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0242998Z     x = stage(x)
2025-11-03T16:33:21.0243235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0243308Z     out = F.relu_(out)
2025-11-03T16:33:21.0243311Z 
2025-11-03T16:33:21.0243414Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0243726Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0243807Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0244054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0244113Z     x = stage(x)
2025-11-03T16:33:21.0244355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0244430Z     out = self.conv1(x)
2025-11-03T16:33:21.0244653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0244722Z     x = F.conv2d(
2025-11-03T16:33:21.0244775Z 
2025-11-03T16:33:21.0244880Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0245184Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0245275Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0245512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0245578Z     x = stage(x)
2025-11-03T16:33:21.0245819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0245890Z     out = F.relu_(out)
2025-11-03T16:33:21.0245896Z 
2025-11-03T16:33:21.0245998Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0246302Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0246393Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0246633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0246700Z     x = stage(x)
2025-11-03T16:33:21.0246940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0247006Z     out = self.conv2(out)
2025-11-03T16:33:21.0247233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0247294Z     x = F.conv2d(
2025-11-03T16:33:21.0247297Z 
2025-11-03T16:33:21.0247444Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0247750Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0247840Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0248079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0248137Z     x = stage(x)
2025-11-03T16:33:21.0248384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0248446Z     out = F.relu_(out)
2025-11-03T16:33:21.0248449Z 
2025-11-03T16:33:21.0248559Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0248862Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0248944Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0249190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0249250Z     x = stage(x)
2025-11-03T16:33:21.0249499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0249562Z     out = self.conv3(out)
2025-11-03T16:33:21.0249769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0249833Z     x = F.conv2d(
2025-11-03T16:33:21.0249837Z 
2025-11-03T16:33:21.0249932Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0250226Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0250303Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0250533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0250591Z     x = stage(x)
2025-11-03T16:33:21.0250815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0250921Z     out = F.relu_(out)
2025-11-03T16:33:21.0250925Z 
2025-11-03T16:33:21.0251021Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0251316Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0251393Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0251629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0251685Z     x = stage(x)
2025-11-03T16:33:21.0251914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0251984Z     out = self.conv1(x)
2025-11-03T16:33:21.0252195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0252262Z     x = F.conv2d(
2025-11-03T16:33:21.0252265Z 
2025-11-03T16:33:21.0252362Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0252650Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0252732Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0252958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0253022Z     x = stage(x)
2025-11-03T16:33:21.0253288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0253352Z     out = F.relu_(out)
2025-11-03T16:33:21.0253363Z 
2025-11-03T16:33:21.0253461Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0253750Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0253838Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0254068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0254132Z     x = stage(x)
2025-11-03T16:33:21.0254362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0254424Z     out = self.conv2(out)
2025-11-03T16:33:21.0254641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0254701Z     x = F.conv2d(
2025-11-03T16:33:21.0254704Z 
2025-11-03T16:33:21.0254807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0255099Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0255178Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0255414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0255472Z     x = stage(x)
2025-11-03T16:33:21.0255710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0255769Z     out = F.relu_(out)
2025-11-03T16:33:21.0255772Z 
2025-11-03T16:33:21.0255876Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0256166Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0256243Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0256481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0256577Z     x = stage(x)
2025-11-03T16:33:21.0256812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0256872Z     out = self.conv3(out)
2025-11-03T16:33:21.0257078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0257143Z     x = F.conv2d(
2025-11-03T16:33:21.0257146Z 
2025-11-03T16:33:21.0257242Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0257539Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0257615Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0257852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0257907Z     x = stage(x)
2025-11-03T16:33:21.0258135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0258202Z     out = F.relu_(out)
2025-11-03T16:33:21.0258206Z 
2025-11-03T16:33:21.0258301Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0258596Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0258672Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0258900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0258999Z     x = stage(x)
2025-11-03T16:33:21.0259229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0259297Z     out = self.conv1(x)
2025-11-03T16:33:21.0259504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0259562Z     x = F.conv2d(
2025-11-03T16:33:21.0259574Z 
2025-11-03T16:33:21.0259669Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0259959Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0260043Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0260269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0260331Z     x = stage(x)
2025-11-03T16:33:21.0260561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0260621Z     out = F.relu_(out)
2025-11-03T16:33:21.0260624Z 
2025-11-03T16:33:21.0260727Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0261020Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0261104Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0261330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0261386Z     x = stage(x)
2025-11-03T16:33:21.0261619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0261683Z     out = self.conv2(out)
2025-11-03T16:33:21.0261901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0261959Z     x = F.conv2d(
2025-11-03T16:33:21.0261962Z 
2025-11-03T16:33:21.0262066Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0262357Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0262506Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0262741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0262797Z     x = stage(x)
2025-11-03T16:33:21.0263033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0263092Z     out = F.relu_(out)
2025-11-03T16:33:21.0263095Z 
2025-11-03T16:33:21.0263191Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0263497Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0263575Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0263814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0263874Z     x = stage(x)
2025-11-03T16:33:21.0264114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0264178Z     out = self.conv3(out)
2025-11-03T16:33:21.0264388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0264456Z     x = F.conv2d(
2025-11-03T16:33:21.0264459Z 
2025-11-03T16:33:21.0264556Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0264902Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0264984Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0265216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0265286Z     x = stage(x)
2025-11-03T16:33:21.0265519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0265587Z     out = F.relu_(out)
2025-11-03T16:33:21.0265590Z 
2025-11-03T16:33:21.0265691Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0266008Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0266089Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0266352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0266421Z     x = stage(x)
2025-11-03T16:33:21.0266655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0266728Z     out = self.conv1(x)
2025-11-03T16:33:21.0267075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0267140Z     x = F.conv2d(
2025-11-03T16:33:21.0267143Z 
2025-11-03T16:33:21.0267252Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0267553Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0267641Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0267878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0267944Z     x = stage(x)
2025-11-03T16:33:21.0268184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0268249Z     out = F.relu_(out)
2025-11-03T16:33:21.0268319Z 
2025-11-03T16:33:21.0268429Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0268745Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0268830Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0269065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0269123Z     x = stage(x)
2025-11-03T16:33:21.0269362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0269428Z     out = self.conv2(out)
2025-11-03T16:33:21.0269644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0269704Z     x = F.conv2d(
2025-11-03T16:33:21.0269708Z 
2025-11-03T16:33:21.0269807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0270122Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0270204Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0270450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0270510Z     x = stage(x)
2025-11-03T16:33:21.0270760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0270824Z     out = F.relu_(out)
2025-11-03T16:33:21.0270827Z 
2025-11-03T16:33:21.0270999Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0271311Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0271394Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0271636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0271694Z     x = stage(x)
2025-11-03T16:33:21.0271930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0272001Z     out = self.conv3(out)
2025-11-03T16:33:21.0272219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0272285Z     x = F.conv2d(
2025-11-03T16:33:21.0272288Z 
2025-11-03T16:33:21.0272390Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0272697Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0272775Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0273013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0273082Z     x = stage(x)
2025-11-03T16:33:21.0273321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0273391Z     out = F.relu_(out)
2025-11-03T16:33:21.0273394Z 
2025-11-03T16:33:21.0273505Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0273811Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0273907Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0274148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0274221Z     x = stage(x)
2025-11-03T16:33:21.0274462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0274570Z     out = self.conv1(x)
2025-11-03T16:33:21.0274800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0274864Z     x = F.conv2d(
2025-11-03T16:33:21.0274867Z 
2025-11-03T16:33:21.0274982Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0275315Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0275410Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0275677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0275742Z     x = stage(x)
2025-11-03T16:33:21.0276015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0276087Z     out = F.relu_(out)
2025-11-03T16:33:21.0276090Z 
2025-11-03T16:33:21.0276208Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0276540Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0276636Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0277051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0277120Z     x = stage(x)
2025-11-03T16:33:21.0277430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0277508Z     out = self.conv2(out)
2025-11-03T16:33:21.0277808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0277881Z     x = F.conv2d(
2025-11-03T16:33:21.0277890Z 
2025-11-03T16:33:21.0278001Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0278344Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0278434Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0278742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0278804Z     x = stage(x)
2025-11-03T16:33:21.0279068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0279139Z     out = F.relu_(out)
2025-11-03T16:33:21.0279143Z 
2025-11-03T16:33:21.0279251Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0279577Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0279667Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0279926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0279990Z     x = stage(x)
2025-11-03T16:33:21.0280242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0280323Z     out = self.conv3(out)
2025-11-03T16:33:21.0280557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0280631Z     x = F.conv2d(
2025-11-03T16:33:21.0280637Z 
2025-11-03T16:33:21.0280746Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0281076Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0281204Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0281457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0281530Z     x = stage(x)
2025-11-03T16:33:21.0281782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0281857Z     out = F.relu_(out)
2025-11-03T16:33:21.0281860Z 
2025-11-03T16:33:21.0281967Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0282289Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0282380Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0282633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0282708Z     x = stage(x)
2025-11-03T16:33:21.0282959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0283029Z     out = self.conv1(x)
2025-11-03T16:33:21.0283267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0283330Z     x = F.conv2d(
2025-11-03T16:33:21.0283333Z 
2025-11-03T16:33:21.0283449Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0283768Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0283899Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0284152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0284214Z     x = stage(x)
2025-11-03T16:33:21.0284472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0284540Z     out = F.relu_(out)
2025-11-03T16:33:21.0284543Z 
2025-11-03T16:33:21.0284660Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0284977Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0285063Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0285320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0285381Z     x = stage(x)
2025-11-03T16:33:21.0285642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0285712Z     out = self.conv2(out)
2025-11-03T16:33:21.0285948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0286013Z     x = F.conv2d(
2025-11-03T16:33:21.0286017Z 
2025-11-03T16:33:21.0286122Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0286447Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0286531Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0286878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0286950Z     x = stage(x)
2025-11-03T16:33:21.0287204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0287279Z     out = F.relu_(out)
2025-11-03T16:33:21.0287282Z 
2025-11-03T16:33:21.0287389Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0287715Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0288636Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0288896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0288958Z     x = stage(x)
2025-11-03T16:33:21.0289208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0289286Z     out = self.conv3(out)
2025-11-03T16:33:21.0289517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0289588Z     x = F.conv2d(
2025-11-03T16:33:21.0289591Z 
2025-11-03T16:33:21.0289698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0290018Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0290117Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0290370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0290441Z     x = stage(x)
2025-11-03T16:33:21.0290693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0290758Z     out = F.relu_(out)
2025-11-03T16:33:21.0290769Z 
2025-11-03T16:33:21.0290877Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0291245Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0291340Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0291594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0291666Z     x = stage(x)
2025-11-03T16:33:21.0291917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0291985Z     out = self.conv1(x)
2025-11-03T16:33:21.0292222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0292285Z     x = F.conv2d(
2025-11-03T16:33:21.0292288Z 
2025-11-03T16:33:21.0292402Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0292724Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0292819Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0293070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0293135Z     x = stage(x)
2025-11-03T16:33:21.0293395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0293462Z     out = F.relu_(out)
2025-11-03T16:33:21.0293465Z 
2025-11-03T16:33:21.0293579Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0293898Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0293983Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0294246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0294308Z     x = stage(x)
2025-11-03T16:33:21.0294566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0294635Z     out = self.conv2(out)
2025-11-03T16:33:21.0294900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0294970Z     x = F.conv2d(
2025-11-03T16:33:21.0294974Z 
2025-11-03T16:33:21.0295080Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0295399Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0295479Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0295735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0295795Z     x = stage(x)
2025-11-03T16:33:21.0296034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0296106Z     out = F.relu_(out)
2025-11-03T16:33:21.0296109Z 
2025-11-03T16:33:21.0296214Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0296525Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0296604Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0296842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0296908Z     x = stage(x)
2025-11-03T16:33:21.0297145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0297217Z     out = self.conv3(out)
2025-11-03T16:33:21.0297472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0297541Z     x = F.conv2d(
2025-11-03T16:33:21.0297544Z 
2025-11-03T16:33:21.0297646Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0297955Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0298044Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0298287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0298354Z     x = stage(x)
2025-11-03T16:33:21.0298595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0298657Z     out = F.relu_(out)
2025-11-03T16:33:21.0298660Z 
2025-11-03T16:33:21.0298774Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0299081Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0299169Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0299413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0299481Z     x = stage(x)
2025-11-03T16:33:21.0299718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:21.0299783Z     out = self.conv1(x)
2025-11-03T16:33:21.0300008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0300067Z     x = F.conv2d(
2025-11-03T16:33:21.0300070Z 
2025-11-03T16:33:21.0300178Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0300482Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0300564Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0300809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0300935Z     x = stage(x)
2025-11-03T16:33:21.0301190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:21.0301252Z     out = F.relu_(out)
2025-11-03T16:33:21.0301255Z 
2025-11-03T16:33:21.0301364Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0301667Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0301747Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0301995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0302054Z     x = stage(x)
2025-11-03T16:33:21.0302301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:21.0302370Z     out = self.conv2(out)
2025-11-03T16:33:21.0302589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0302656Z     x = F.conv2d(
2025-11-03T16:33:21.0302659Z 
2025-11-03T16:33:21.0302760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0303072Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0303150Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0303431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0303495Z     x = stage(x)
2025-11-03T16:33:21.0303731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:21.0303806Z     out = F.relu_(out)
2025-11-03T16:33:21.0303809Z 
2025-11-03T16:33:21.0303909Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0304216Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0304295Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0304532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0304599Z     x = stage(x)
2025-11-03T16:33:21.0304835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:21.0304911Z     out = self.conv3(out)
2025-11-03T16:33:21.0305131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:21.0305190Z     x = F.conv2d(
2025-11-03T16:33:21.0305203Z 
2025-11-03T16:33:21.0305304Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:21.0305604Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:33:21.0305692Z     features = self.backbone(images.tensor)
2025-11-03T16:33:21.0305930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:33:21.0305996Z     x = stage(x)
2025-11-03T16:33:21.0306234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:21.0306296Z     out = F.relu_(out)
2025-11-03T16:33:21.0306301Z 
2025-11-03T16:33:28.2209059Z cudagraph partition due to non gpu ops
2025-11-03T16:33:28.2209415Z cudagraph partition due to non gpu ops
2025-11-03T16:33:28.2209627Z cudagraph partition due to non gpu ops
2025-11-03T16:33:28.2209840Z cudagraph partition due to non gpu ops
2025-11-03T16:33:28.2210514Z cudagraph partition due to non gpu ops
2025-11-03T16:33:28.2210728Z cudagraph partition due to non gpu ops
2025-11-03T16:33:28.2210967Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:28.2211455Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:33:28.2211946Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:33:28.2212427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:33:28.2212828Z     t = self.conv(x)
2025-11-03T16:33:28.2213170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:28.2213529Z     x = F.conv2d(
2025-11-03T16:33:28.2213637Z 
2025-11-03T16:33:28.2213749Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:28.2214193Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:33:28.2214660Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:33:28.2215119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:33:28.2215511Z     t = self.conv(x)
2025-11-03T16:33:28.2215895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:33:28.2216266Z     x = self.activation(x)
2025-11-03T16:33:28.2216379Z 
2025-11-03T16:33:28.2216595Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:28.2217018Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:33:28.2217476Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:33:28.2217938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:33:28.2218378Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:33:28.2218551Z 
2025-11-03T16:33:28.2218656Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:28.2219085Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:33:28.2219546Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:33:28.2220009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:33:28.2220437Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:33:28.2220593Z 
2025-11-03T16:33:28.2220699Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:28.2221125Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:33:28.2221546Z     anchors = self.anchor_generator(features)
2025-11-03T16:33:28.2221947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:33:28.2222417Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:33:28.2222894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:33:28.2223347Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:33:28.2223536Z 
2025-11-03T16:33:28.2223641Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:28.2224070Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:33:28.2224516Z     pred_objectness_logits = [
2025-11-03T16:33:28.2224906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:33:28.2225316Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:33:28.2225456Z 
2025-11-03T16:33:28.2225711Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:28.2226146Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:33:28.2226545Z     pred_anchor_deltas = [
2025-11-03T16:33:28.2226928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:33:28.2227331Z     .flatten(1, -2)
2025-11-03T16:33:28.2227439Z 
2025-11-03T16:33:28.2227544Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:28.2227971Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:33:28.2228392Z     anchors = self.anchor_generator(features)
2025-11-03T16:33:28.2228781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:33:28.2229252Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:33:28.2229728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:33:28.2230213Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:33:28.2230427Z 
2025-11-03T16:33:29.9315263Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:29.9315954Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:33:29.9316497Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:33:29.9317037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:33:29.9317758Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:33:29.9318323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:33:29.9318808Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:33:29.9318979Z 
2025-11-03T16:33:30.9629860Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:30.9631601Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:33:30.9632108Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:33:30.9632359Z 
2025-11-03T16:33:30.9632460Z cudagraph partition due to non gpu ops
2025-11-03T16:33:30.9632723Z cudagraph partition due to non gpu ops
2025-11-03T16:33:30.9632984Z cudagraph partition due to non gpu ops
2025-11-03T16:33:30.9633236Z cudagraph partition due to non gpu ops
2025-11-03T16:33:30.9633510Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:30.9633987Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:33:30.9634410Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:33:30.9634584Z 
2025-11-03T16:33:31.7640395Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:31.7640962Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:33:31.7641425Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:33:31.7641612Z 
2025-11-03T16:33:32.4271236Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:32.4271785Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__
2025-11-03T16:33:32.4272679Z     b = self.tensor[item]
2025-11-03T16:33:32.4272805Z 
2025-11-03T16:33:33.1156191Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:33.1156700Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:33:33.1157190Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:33:33.1157424Z 
2025-11-03T16:33:33.1157526Z cudagraph partition due to non gpu ops
2025-11-03T16:33:33.1157841Z cudagraph partition due to non gpu ops
2025-11-03T16:33:33.1158119Z cudagraph partition due to non gpu ops
2025-11-03T16:33:33.1158353Z cudagraph partition due to non gpu ops
2025-11-03T16:33:33.1158620Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:33.1159057Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:33:33.1159492Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:33:33.1159664Z 
2025-11-03T16:33:33.8194248Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:33.8194789Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:33:33.8195289Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:33:33.8195535Z 
2025-11-03T16:33:33.8195628Z cudagraph partition due to non gpu ops
2025-11-03T16:33:33.8195876Z cudagraph partition due to non gpu ops
2025-11-03T16:33:33.8196162Z cudagraph partition due to non gpu ops
2025-11-03T16:33:33.8196850Z cudagraph partition due to non gpu ops
2025-11-03T16:33:33.8197142Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:33.8197572Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:33:33.8198189Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:33:33.8198361Z 
2025-11-03T16:33:34.4705090Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:34.4705686Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__
2025-11-03T16:33:34.4706084Z     b = self.tensor[item]
2025-11-03T16:33:34.4706204Z 
2025-11-03T16:33:35.7508232Z cudagraph partition due to non gpu ops
2025-11-03T16:33:35.7508568Z cudagraph partition due to non gpu ops
2025-11-03T16:33:35.7508829Z cudagraph partition due to non gpu ops
2025-11-03T16:33:35.7509096Z cudagraph partition due to non gpu ops
2025-11-03T16:33:35.7509391Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:35.7509995Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:33:35.7510501Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:33:35.7510973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:33:35.7511434Z     return torch.as_tensor(x, device=device)
2025-11-03T16:33:35.7511596Z 
2025-11-03T16:33:35.7511715Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:35.7512193Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:33:35.7512676Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:33:35.7512851Z 
2025-11-03T16:33:36.3390879Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:36.3391505Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 67, in _convert_boxes_to_pooler_format
2025-11-03T16:33:36.3392045Z     torch.arange(len(sizes), dtype=boxes.dtype, device=boxes.device), sizes
2025-11-03T16:33:36.3392296Z 
2025-11-03T16:33:36.8742785Z cudagraph partition due to non gpu ops
2025-11-03T16:33:36.8743349Z cudagraph partition due to non gpu ops
2025-11-03T16:33:36.8744378Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:36.8745073Z    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
2025-11-03T16:33:36.8745626Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:33:36.8750810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:33:36.8751176Z     return torch.cat(tensors, dim)
2025-11-03T16:33:36.8751323Z 
2025-11-03T16:33:37.4383355Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:37.4384162Z    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
2025-11-03T16:33:37.4384688Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:33:37.4385098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:33:37.4385460Z     return roi_align(
2025-11-03T16:33:37.4385799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:33:37.4386184Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:33:37.4386336Z 
2025-11-03T16:33:37.4386445Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:37.4386960Z    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
2025-11-03T16:33:37.4387833Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:33:37.4388240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:33:37.4388601Z     return roi_align(
2025-11-03T16:33:37.4388917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:33:37.4389284Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:33:37.4389432Z 
2025-11-03T16:33:41.5195227Z cudagraph partition due to non gpu ops
2025-11-03T16:33:41.5200741Z cudagraph partition due to non gpu ops
2025-11-03T16:33:41.5205481Z cudagraph partition due to non gpu ops
2025-11-03T16:33:41.5206345Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5207011Z    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
2025-11-03T16:33:41.5207511Z     return self.res5(x)
2025-11-03T16:33:41.5207896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:41.5208281Z     out = self.conv1(x)
2025-11-03T16:33:41.5208617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:41.5208981Z     x = F.conv2d(
2025-11-03T16:33:41.5209084Z 
2025-11-03T16:33:41.5209195Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5209723Z    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
2025-11-03T16:33:41.5210190Z     return self.res5(x)
2025-11-03T16:33:41.5210538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:41.5210917Z     out = F.relu_(out)
2025-11-03T16:33:41.5211024Z 
2025-11-03T16:33:41.5211138Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5211647Z    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
2025-11-03T16:33:41.5212451Z     return self.res5(x)
2025-11-03T16:33:41.5212800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:41.5213180Z     out = self.conv2(out)
2025-11-03T16:33:41.5213522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:41.5213869Z     x = F.conv2d(
2025-11-03T16:33:41.5213966Z 
2025-11-03T16:33:41.5214208Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5214769Z    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
2025-11-03T16:33:41.5215251Z     return self.res5(x)
2025-11-03T16:33:41.5215599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:41.5215966Z     out = F.relu_(out)
2025-11-03T16:33:41.5216074Z 
2025-11-03T16:33:41.5216178Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5216678Z    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
2025-11-03T16:33:41.5217135Z     return self.res5(x)
2025-11-03T16:33:41.5217481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:41.5217855Z     out = self.conv3(out)
2025-11-03T16:33:41.5218182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:41.5218626Z     x = F.conv2d(
2025-11-03T16:33:41.5218722Z 
2025-11-03T16:33:41.5218833Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5219329Z    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
2025-11-03T16:33:41.5219785Z     return self.res5(x)
2025-11-03T16:33:41.5220135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:33:41.5220516Z     shortcut = self.shortcut(x)
2025-11-03T16:33:41.5220863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:41.5221204Z     x = F.conv2d(
2025-11-03T16:33:41.5221299Z 
2025-11-03T16:33:41.5221404Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5221906Z    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
2025-11-03T16:33:41.5222365Z     return self.res5(x)
2025-11-03T16:33:41.5222715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:41.5223088Z     out = self.conv1(x)
2025-11-03T16:33:41.5223407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:41.5223755Z     x = F.conv2d(
2025-11-03T16:33:41.5224007Z 
2025-11-03T16:33:41.5224127Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5224626Z    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
2025-11-03T16:33:41.5225112Z     return self.res5(x)
2025-11-03T16:33:41.5225495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:41.5225893Z     out = F.relu_(out)
2025-11-03T16:33:41.5226001Z 
2025-11-03T16:33:41.5226120Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5226673Z    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
2025-11-03T16:33:41.5227190Z     return self.res5(x)
2025-11-03T16:33:41.5227558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:41.5227964Z     out = self.conv2(out)
2025-11-03T16:33:41.5228307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:41.5229415Z     x = F.conv2d(
2025-11-03T16:33:41.5229514Z 
2025-11-03T16:33:41.5229635Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5230164Z    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
2025-11-03T16:33:41.5230655Z     return self.res5(x)
2025-11-03T16:33:41.5231021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:41.5231417Z     out = F.relu_(out)
2025-11-03T16:33:41.5231528Z 
2025-11-03T16:33:41.5231645Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5232168Z    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
2025-11-03T16:33:41.5232691Z     return self.res5(x)
2025-11-03T16:33:41.5233058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:41.5233447Z     out = self.conv3(out)
2025-11-03T16:33:41.5233856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:41.5234230Z     x = F.conv2d(
2025-11-03T16:33:41.5234326Z 
2025-11-03T16:33:41.5234443Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5234987Z    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
2025-11-03T16:33:41.5235481Z     return self.res5(x)
2025-11-03T16:33:41.5235853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:41.5236257Z     out = F.relu_(out)
2025-11-03T16:33:41.5236363Z 
2025-11-03T16:33:41.5236484Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5237021Z    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
2025-11-03T16:33:41.5237525Z     return self.res5(x)
2025-11-03T16:33:41.5238048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:33:41.5238466Z     out = self.conv1(x)
2025-11-03T16:33:41.5238816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:41.5239183Z     x = F.conv2d(
2025-11-03T16:33:41.5239290Z 
2025-11-03T16:33:41.5239401Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5239937Z    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
2025-11-03T16:33:41.5240434Z     return self.res5(x)
2025-11-03T16:33:41.5240811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:33:41.5241201Z     out = F.relu_(out)
2025-11-03T16:33:41.5241320Z 
2025-11-03T16:33:41.5241429Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5241951Z    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
2025-11-03T16:33:41.5242451Z     return self.res5(x)
2025-11-03T16:33:41.5242799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:33:41.5243168Z     out = self.conv2(out)
2025-11-03T16:33:41.5243504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:41.5243853Z     x = F.conv2d(
2025-11-03T16:33:41.5243944Z 
2025-11-03T16:33:41.5244084Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5244571Z    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
2025-11-03T16:33:41.5245034Z     return self.res5(x)
2025-11-03T16:33:41.5245392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:33:41.5245773Z     out = F.relu_(out)
2025-11-03T16:33:41.5245874Z 
2025-11-03T16:33:41.5245986Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5246485Z    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
2025-11-03T16:33:41.5246950Z     return self.res5(x)
2025-11-03T16:33:41.5247305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:33:41.5247685Z     out = self.conv3(out)
2025-11-03T16:33:41.5248015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:33:41.5248395Z     x = F.conv2d(
2025-11-03T16:33:41.5248495Z 
2025-11-03T16:33:41.5248598Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:41.5249092Z    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
2025-11-03T16:33:41.5249562Z     return self.res5(x)
2025-11-03T16:33:41.5249913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:33:41.5250277Z     out = F.relu_(out)
2025-11-03T16:33:41.5250382Z 
2025-11-03T16:33:46.2740780Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:46.2745139Z    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
2025-11-03T16:33:46.2745719Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:33:46.2746181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:33:46.2746582Z     scores = self.cls_score(x)
2025-11-03T16:33:46.2746716Z 
2025-11-03T16:33:46.2746830Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:46.2747322Z    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
2025-11-03T16:33:46.2747816Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:33:46.2748281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:33:46.2748682Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:33:46.2748824Z 
2025-11-03T16:33:47.7616285Z cudagraph partition due to non gpu ops
2025-11-03T16:33:47.7617767Z cudagraph partition due to non gpu ops
2025-11-03T16:33:47.7618087Z cudagraph partition due to non gpu ops
2025-11-03T16:33:47.7618356Z cudagraph partition due to non gpu ops
2025-11-03T16:33:47.7618618Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:47.7619103Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:33:47.7619899Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:33:47.7620372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:33:47.7620902Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:33:47.7621355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:33:47.7621800Z     return torch.cat(tensors, dim)
2025-11-03T16:33:47.7621944Z 
2025-11-03T16:33:47.7622055Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:47.7622491Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:33:47.7622921Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:33:47.7623363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:33:47.7623813Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:33:47.7624274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:33:47.7624719Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:33:47.7624871Z 
2025-11-03T16:33:49.1594592Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:49.1595256Z    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
2025-11-03T16:33:49.1596235Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:33:49.1596493Z 
2025-11-03T16:33:49.1596619Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:49.1597155Z    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
2025-11-03T16:33:49.1597896Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:33:49.1598138Z 
2025-11-03T16:33:49.1598266Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:49.1598788Z    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
2025-11-03T16:33:49.1599282Z     if not valid_mask.all():
2025-11-03T16:33:49.1599423Z 
2025-11-03T16:33:49.9766406Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:49.9772134Z    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
2025-11-03T16:33:49.9773146Z     boxes.clip(image_shape)
2025-11-03T16:33:49.9773508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:33:49.9773967Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:33:49.9774187Z 
2025-11-03T16:33:49.9774310Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:49.9774837Z    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
2025-11-03T16:33:49.9775359Z     filter_mask = scores > score_thresh  # R x K
2025-11-03T16:33:49.9775516Z 
2025-11-03T16:33:49.9775702Z cudagraph partition due to non gpu ops
2025-11-03T16:33:49.9782707Z cudagraph partition due to non gpu ops
2025-11-03T16:33:49.9782984Z cudagraph partition due to non gpu ops
2025-11-03T16:33:49.9783224Z cudagraph partition due to non gpu ops
2025-11-03T16:33:49.9783467Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:49.9784056Z    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
2025-11-03T16:33:49.9784933Z     boxes.clip(image_shape)
2025-11-03T16:33:49.9785297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:33:49.9785701Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:33:49.9785860Z 
2025-11-03T16:33:51.3084114Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:51.3084906Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:33:51.3086000Z     max_coordinate = boxes.max()
2025-11-03T16:33:51.3086258Z 
2025-11-03T16:33:51.3086420Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:51.3087044Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:33:51.3087602Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:33:51.3087783Z 
2025-11-03T16:33:52.0193246Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:52.0194026Z    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
2025-11-03T16:33:52.0194636Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:33:52.0194873Z 
2025-11-03T16:33:52.0194995Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:52.0196124Z    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
2025-11-03T16:33:52.0196756Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:33:52.0196998Z 
2025-11-03T16:33:52.0197125Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:52.0197893Z    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
2025-11-03T16:33:52.0198490Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:33:52.0198703Z 
2025-11-03T16:33:52.9104006Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:52.9109746Z    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
2025-11-03T16:33:52.9112362Z     boxes.clip(image_shape)
2025-11-03T16:33:52.9112751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:33:52.9113222Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:33:52.9113481Z 
2025-11-03T16:33:52.9113613Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:52.9114186Z    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
2025-11-03T16:33:52.9114725Z     filter_mask = scores > score_thresh  # R x K
2025-11-03T16:33:52.9114908Z 
2025-11-03T16:33:52.9115028Z cudagraph partition due to non gpu ops
2025-11-03T16:33:52.9115275Z cudagraph partition due to non gpu ops
2025-11-03T16:33:52.9115499Z cudagraph partition due to non gpu ops
2025-11-03T16:33:52.9115722Z cudagraph partition due to non gpu ops
2025-11-03T16:33:52.9115992Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:52.9116562Z    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
2025-11-03T16:33:52.9117454Z     boxes.clip(image_shape)
2025-11-03T16:33:52.9118048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:33:52.9118469Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:33:52.9118645Z 
2025-11-03T16:33:54.2542282Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:54.2545411Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:33:54.2546335Z     max_coordinate = boxes.max()
2025-11-03T16:33:54.2546481Z 
2025-11-03T16:33:54.2546604Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:54.2547131Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:33:54.2547600Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:33:54.2547776Z 
2025-11-03T16:33:55.7027251Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:55.7028005Z    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
2025-11-03T16:33:55.7028624Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:33:55.7028846Z 
2025-11-03T16:33:55.7028958Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:55.7029540Z    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
2025-11-03T16:33:55.7030636Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:33:55.7030827Z 
2025-11-03T16:33:55.7030940Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:55.7031478Z    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
2025-11-03T16:33:55.7032017Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:33:55.7032207Z 
2025-11-03T16:33:56.9294768Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:58.9594966Z    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
2025-11-03T16:33:58.9595642Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:33:58.9595891Z 
2025-11-03T16:33:58.9596015Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:58.9596576Z    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
2025-11-03T16:33:58.9597178Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:33:58.9597430Z 
2025-11-03T16:33:58.9597553Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:58.9598250Z    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
2025-11-03T16:33:58.9598752Z     if not valid_mask.all():
2025-11-03T16:33:58.9598892Z 
2025-11-03T16:33:58.9599009Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:58.9599646Z    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
2025-11-03T16:33:58.9600184Z     boxes.clip(image_shape)
2025-11-03T16:33:58.9600531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:33:58.9600971Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:33:58.9601224Z 
2025-11-03T16:33:58.9601763Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:58.9602320Z    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
2025-11-03T16:33:58.9602836Z     filter_mask = scores > score_thresh  # R x K
2025-11-03T16:33:58.9602994Z 
2025-11-03T16:33:58.9603081Z cudagraph partition due to non gpu ops
2025-11-03T16:33:58.9603301Z cudagraph partition due to non gpu ops
2025-11-03T16:33:58.9603585Z cudagraph partition due to non gpu ops
2025-11-03T16:33:58.9603787Z cudagraph partition due to non gpu ops
2025-11-03T16:33:58.9604015Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:33:58.9604527Z    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
2025-11-03T16:33:58.9604996Z     boxes.clip(image_shape)
2025-11-03T16:33:58.9605316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:33:58.9605686Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:33:58.9605841Z 
2025-11-03T16:34:00.9013578Z cudagraph partition due to non gpu ops
2025-11-03T16:34:00.9013956Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:00.9014504Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:34:00.9015018Z     output_boxes.clip(results.image_size)
2025-11-03T16:34:00.9015820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:34:00.9016308Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:34:00.9016552Z 
2025-11-03T16:34:00.9016645Z cudagraph partition due to non gpu ops
2025-11-03T16:34:00.9016881Z cudagraph partition due to non gpu ops
2025-11-03T16:34:00.9017147Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:00.9017628Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:34:00.9018086Z     output_boxes.clip(results.image_size)
2025-11-03T16:34:00.9018521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:34:00.9018938Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:34:00.9019107Z 
2025-11-03T16:34:00.9019225Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:00.9019696Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:34:00.9020155Z     results = results[output_boxes.nonempty()]
2025-11-03T16:34:00.9020556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:34:00.9020975Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:34:00.9021136Z 
2025-11-03T16:34:05.0834212Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:05.0834838Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:34:05.0835343Z     results = results[output_boxes.nonempty()]
2025-11-03T16:34:05.0835505Z 
2025-11-03T16:34:05.0835668Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:05.0836161Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:34:05.0836632Z     results = results[output_boxes.nonempty()]
2025-11-03T16:34:05.0836800Z 
2025-11-03T16:34:05.0836887Z cudagraph partition due to non gpu ops
2025-11-03T16:34:05.0837137Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:05.0838214Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:34:05.0838689Z     output_boxes.clip(results.image_size)
2025-11-03T16:34:05.0839099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:34:05.0839612Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:34:05.0839843Z 
2025-11-03T16:34:05.0840039Z cudagraph partition due to non gpu ops
2025-11-03T16:34:05.0840262Z cudagraph partition due to non gpu ops
2025-11-03T16:34:05.0840519Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:05.0841001Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:34:05.0841453Z     output_boxes.clip(results.image_size)
2025-11-03T16:34:05.0841850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:34:05.0842258Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:34:05.0842435Z 
2025-11-03T16:34:05.0842547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:05.0843017Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:34:05.0843519Z     results = results[output_boxes.nonempty()]
2025-11-03T16:34:05.0843880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:34:05.0844344Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:34:05.0844502Z 
2025-11-03T16:34:08.3768816Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:08.3773630Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:34:08.3775311Z     results = results[output_boxes.nonempty()]
2025-11-03T16:34:08.3775617Z 
2025-11-03T16:34:08.3779711Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:08.3780248Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:34:08.3780697Z     results = results[output_boxes.nonempty()]
2025-11-03T16:34:08.3780845Z 
2025-11-03T16:34:08.3780928Z cudagraph partition due to non gpu ops
2025-11-03T16:34:08.3781186Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:08.3781634Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:34:08.3782047Z     output_boxes.clip(results.image_size)
2025-11-03T16:34:08.3782395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:34:08.3782826Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:34:08.3783042Z 
2025-11-03T16:34:08.3783122Z cudagraph partition due to non gpu ops
2025-11-03T16:34:08.3783329Z cudagraph partition due to non gpu ops
2025-11-03T16:34:08.3783567Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:08.3783989Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:34:08.3784394Z     output_boxes.clip(results.image_size)
2025-11-03T16:34:08.3784741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:34:08.3785121Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:34:08.3785271Z 
2025-11-03T16:34:08.3785379Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:34:08.3785796Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:34:08.3786684Z     results = results[output_boxes.nonempty()]
2025-11-03T16:34:08.3787052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:34:08.3787445Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:34:08.3787597Z 
2025-11-03T16:34:16.0209892Z Compilation time (from dynamo_timed): 68.123532349
2025-11-03T16:34:16.0210415Z pass
2025-11-03T16:34:16.0211082Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:34:16.0211921Z TIMING: gc:0.05495 entire_frame_compile:68.12353 _recursive_pre_grad_passes:0.03256 _recursive_joint_graph_passes:0.3103 _recursive_post_grad_passes:0.74619 async_compile.wait:16.03483 code_gen:30.24218 inductor_compile:36.96489 backend_compile:47.50093 total_wall_time:68.12353
2025-11-03T16:34:16.0213032Z STATS: call_* op count: 776 | FakeTensorMode.__torch_dispatch__:21722 | FakeTensor.__torch_dispatch__:13685 | ProxyTorchDispatchMode.__torch_dispatch__:6753 | attempt fast:78 | slow no contiguity match:42 | fast is_contiguous:36
2025-11-03T16:34:16.0213839Z Dynamo produced 53 graphs covering 776 ops with 42 graph breaks (6 unique)
2025-11-03T16:34:19.6636560Z /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.
2025-11-03T16:34:19.6637481Z   import pynvml  # type: ignore[import]
2025-11-03T16:34:21.8577125Z 
2025-11-03T16:34:28.9152492Z loading model: 0it [00:00, ?it/s]W1103 16:34:28.913000 15105 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.
2025-11-03T16:34:32.2457452Z 
2025-11-03T16:34:32.2458316Z loading model: 0it [00:10, ?it/s]
2025-11-03T16:34:32.2474419Z cpu  eval  detectron2_fasterrcnn_r_101_dc5    
2025-11-03T16:34:51.5746863Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_101_dc5. Setting accuracy check to cosine
2025-11-03T16:34:51.6232839Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:35:05.9751731Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:35:20.3951476Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:35:46.7432043Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7432386Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7432623Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7432844Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7433085Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7433319Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7433554Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7433782Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7434006Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7434236Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7434469Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7434696Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7434939Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7435173Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7435412Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7435643Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7435882Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7436116Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7436348Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7436946Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7437173Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7437402Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7437826Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7438098Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7438329Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7438553Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7438779Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7439105Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7439408Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7439632Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7439859Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7440076Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7440302Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7440575Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7440807Z cudagraph partition due to non gpu ops
2025-11-03T16:35:46.7441077Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7441677Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7442211Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7442658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:35:46.7443088Z     x = self.stem(x)
2025-11-03T16:35:46.7443488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:35:46.7444019Z     x = self.conv1(x)
2025-11-03T16:35:46.7444377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7444804Z     x = F.conv2d(
2025-11-03T16:35:46.7444921Z 
2025-11-03T16:35:46.7445039Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7445574Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7446100Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7446546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:35:46.7446994Z     x = self.stem(x)
2025-11-03T16:35:46.7447453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:35:46.7447858Z     x = F.relu_(x)
2025-11-03T16:35:46.7447969Z 
2025-11-03T16:35:46.7448086Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7448609Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7449106Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7449529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:35:46.7449923Z     x = self.stem(x)
2025-11-03T16:35:46.7450302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:35:46.7450761Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:35:46.7450945Z 
2025-11-03T16:35:46.7451068Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7451593Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7452104Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7452519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7452948Z     x = stage(x)
2025-11-03T16:35:46.7453305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7453698Z     out = self.conv1(x)
2025-11-03T16:35:46.7454042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7454410Z     x = F.conv2d(
2025-11-03T16:35:46.7454515Z 
2025-11-03T16:35:46.7454635Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7455168Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7455651Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7456076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7456473Z     x = stage(x)
2025-11-03T16:35:46.7456843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7457249Z     out = F.relu_(out)
2025-11-03T16:35:46.7457394Z 
2025-11-03T16:35:46.7457513Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7458013Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7458492Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7458896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7459320Z     x = stage(x)
2025-11-03T16:35:46.7459672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7460077Z     out = self.conv2(out)
2025-11-03T16:35:46.7460438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7460808Z     x = F.conv2d(
2025-11-03T16:35:46.7460904Z 
2025-11-03T16:35:46.7461021Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7461505Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7461975Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7462377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7462762Z     x = stage(x)
2025-11-03T16:35:46.7463112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7463502Z     out = F.relu_(out)
2025-11-03T16:35:46.7463616Z 
2025-11-03T16:35:46.7463724Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7464221Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7464712Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7465106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7465502Z     x = stage(x)
2025-11-03T16:35:46.7465855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7466311Z     out = self.conv3(out)
2025-11-03T16:35:46.7466673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7467274Z     x = F.conv2d(
2025-11-03T16:35:46.7467383Z 
2025-11-03T16:35:46.7467495Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7467998Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7468535Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7468933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7469314Z     x = stage(x)
2025-11-03T16:35:46.7469665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:35:46.7470094Z     shortcut = self.shortcut(x)
2025-11-03T16:35:46.7470465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7470822Z     x = F.conv2d(
2025-11-03T16:35:46.7470927Z 
2025-11-03T16:35:46.7471037Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7471542Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7472031Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7472449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7472843Z     x = stage(x)
2025-11-03T16:35:46.7473214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7473619Z     out = self.conv1(x)
2025-11-03T16:35:46.7473976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7474340Z     x = F.conv2d(
2025-11-03T16:35:46.7474500Z 
2025-11-03T16:35:46.7474616Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7475128Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7475619Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7476034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7476423Z     x = stage(x)
2025-11-03T16:35:46.7476790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7477196Z     out = F.relu_(out)
2025-11-03T16:35:46.7477314Z 
2025-11-03T16:35:46.7477434Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7478003Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7478497Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7478913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7479316Z     x = stage(x)
2025-11-03T16:35:46.7479676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7480068Z     out = self.conv2(out)
2025-11-03T16:35:46.7480436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7480814Z     x = F.conv2d(
2025-11-03T16:35:46.7480913Z 
2025-11-03T16:35:46.7481034Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7481546Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7482043Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7482465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7482876Z     x = stage(x)
2025-11-03T16:35:46.7483277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7483698Z     out = F.relu_(out)
2025-11-03T16:35:46.7483813Z 
2025-11-03T16:35:46.7483928Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7484452Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7484951Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7485402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7485820Z     x = stage(x)
2025-11-03T16:35:46.7486333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7486755Z     out = self.conv3(out)
2025-11-03T16:35:46.7487144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7487519Z     x = F.conv2d(
2025-11-03T16:35:46.7487621Z 
2025-11-03T16:35:46.7487736Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7488248Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7488728Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7489132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7489526Z     x = stage(x)
2025-11-03T16:35:46.7489930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7490324Z     out = F.relu_(out)
2025-11-03T16:35:46.7490438Z 
2025-11-03T16:35:46.7490549Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7491047Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7491516Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7491927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7492323Z     x = stage(x)
2025-11-03T16:35:46.7492690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7493103Z     out = self.conv1(x)
2025-11-03T16:35:46.7493449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7493814Z     x = F.conv2d(
2025-11-03T16:35:46.7493917Z 
2025-11-03T16:35:46.7494028Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7494523Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7495003Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7495401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7495783Z     x = stage(x)
2025-11-03T16:35:46.7496139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7496532Z     out = F.relu_(out)
2025-11-03T16:35:46.7496638Z 
2025-11-03T16:35:46.7496749Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7497248Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7497730Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7498138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7498541Z     x = stage(x)
2025-11-03T16:35:46.7498884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7499275Z     out = self.conv2(out)
2025-11-03T16:35:46.7499630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7499992Z     x = F.conv2d(
2025-11-03T16:35:46.7500110Z 
2025-11-03T16:35:46.7500226Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7500712Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7501189Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7501590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7501983Z     x = stage(x)
2025-11-03T16:35:46.7502327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7502712Z     out = F.relu_(out)
2025-11-03T16:35:46.7502825Z 
2025-11-03T16:35:46.7502934Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7503425Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7503899Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7504329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7504711Z     x = stage(x)
2025-11-03T16:35:46.7505063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7505463Z     out = self.conv3(out)
2025-11-03T16:35:46.7505815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7506171Z     x = F.conv2d(
2025-11-03T16:35:46.7506272Z 
2025-11-03T16:35:46.7506380Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7506873Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7507349Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7507751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7508139Z     x = stage(x)
2025-11-03T16:35:46.7508492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7508886Z     out = F.relu_(out)
2025-11-03T16:35:46.7508992Z 
2025-11-03T16:35:46.7509111Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7509594Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7510082Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7510484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7510866Z     x = stage(x)
2025-11-03T16:35:46.7511218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7511601Z     out = self.conv1(x)
2025-11-03T16:35:46.7511953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7512338Z     x = F.conv2d(
2025-11-03T16:35:46.7512434Z 
2025-11-03T16:35:46.7512550Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7513065Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7513544Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7513949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7514334Z     x = stage(x)
2025-11-03T16:35:46.7514685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7515088Z     out = F.relu_(out)
2025-11-03T16:35:46.7515203Z 
2025-11-03T16:35:46.7515594Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7516096Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7516587Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7517010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7517405Z     x = stage(x)
2025-11-03T16:35:46.7517871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7518290Z     out = self.conv2(out)
2025-11-03T16:35:46.7518661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7519043Z     x = F.conv2d(
2025-11-03T16:35:46.7519145Z 
2025-11-03T16:35:46.7519260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7519820Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7520321Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7520741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7521143Z     x = stage(x)
2025-11-03T16:35:46.7521508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7521905Z     out = F.relu_(out)
2025-11-03T16:35:46.7522012Z 
2025-11-03T16:35:46.7522131Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7522638Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7523122Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7523538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7523936Z     x = stage(x)
2025-11-03T16:35:46.7524303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7524707Z     out = self.conv3(out)
2025-11-03T16:35:46.7525059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7525432Z     x = F.conv2d(
2025-11-03T16:35:46.7525537Z 
2025-11-03T16:35:46.7525651Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7526161Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7526659Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7527072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7527471Z     x = stage(x)
2025-11-03T16:35:46.7527807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:35:46.7528209Z     shortcut = self.shortcut(x)
2025-11-03T16:35:46.7528546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7528893Z     x = F.conv2d(
2025-11-03T16:35:46.7528990Z 
2025-11-03T16:35:46.7529094Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7529561Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7530034Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7530409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7530775Z     x = stage(x)
2025-11-03T16:35:46.7531107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7531473Z     out = self.conv1(x)
2025-11-03T16:35:46.7531792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7532132Z     x = F.conv2d(
2025-11-03T16:35:46.7532229Z 
2025-11-03T16:35:46.7532331Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7532792Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7533244Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7533621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7534071Z     x = stage(x)
2025-11-03T16:35:46.7534409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7534781Z     out = F.relu_(out)
2025-11-03T16:35:46.7534882Z 
2025-11-03T16:35:46.7534991Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7535456Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7535911Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7536295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7536659Z     x = stage(x)
2025-11-03T16:35:46.7536988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7537361Z     out = self.conv2(out)
2025-11-03T16:35:46.7537698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7538046Z     x = F.conv2d(
2025-11-03T16:35:46.7538136Z 
2025-11-03T16:35:46.7538247Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7538710Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7539161Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7539541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7539901Z     x = stage(x)
2025-11-03T16:35:46.7540232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7540590Z     out = F.relu_(out)
2025-11-03T16:35:46.7540696Z 
2025-11-03T16:35:46.7540801Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7541266Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7541709Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7542104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7542468Z     x = stage(x)
2025-11-03T16:35:46.7542804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7543181Z     out = self.conv3(out)
2025-11-03T16:35:46.7543516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7543907Z     x = F.conv2d(
2025-11-03T16:35:46.7544007Z 
2025-11-03T16:35:46.7544113Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7544581Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7545033Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7545413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7545773Z     x = stage(x)
2025-11-03T16:35:46.7546107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7546478Z     out = F.relu_(out)
2025-11-03T16:35:46.7546577Z 
2025-11-03T16:35:46.7546689Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7547159Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7547608Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7548022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7548390Z     x = stage(x)
2025-11-03T16:35:46.7548723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7549088Z     out = self.conv1(x)
2025-11-03T16:35:46.7549414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7549761Z     x = F.conv2d(
2025-11-03T16:35:46.7549851Z 
2025-11-03T16:35:46.7549962Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7550435Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7550869Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7551247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7551603Z     x = stage(x)
2025-11-03T16:35:46.7551928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7552280Z     out = F.relu_(out)
2025-11-03T16:35:46.7552385Z 
2025-11-03T16:35:46.7552487Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7552940Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7553381Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7553749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7554097Z     x = stage(x)
2025-11-03T16:35:46.7554426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7554799Z     out = self.conv2(out)
2025-11-03T16:35:46.7555123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7555455Z     x = F.conv2d(
2025-11-03T16:35:46.7555544Z 
2025-11-03T16:35:46.7556540Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7556995Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7557434Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7557892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7558291Z     x = stage(x)
2025-11-03T16:35:46.7558701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7559101Z     out = F.relu_(out)
2025-11-03T16:35:46.7559215Z 
2025-11-03T16:35:46.7559338Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7559833Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7560277Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7560662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7561023Z     x = stage(x)
2025-11-03T16:35:46.7561356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7561729Z     out = self.conv3(out)
2025-11-03T16:35:46.7562053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7562402Z     x = F.conv2d(
2025-11-03T16:35:46.7562501Z 
2025-11-03T16:35:46.7562680Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7563145Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7563592Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7563965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7564326Z     x = stage(x)
2025-11-03T16:35:46.7564658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7565021Z     out = F.relu_(out)
2025-11-03T16:35:46.7565121Z 
2025-11-03T16:35:46.7565224Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7565699Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7566152Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7566533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7567091Z     x = stage(x)
2025-11-03T16:35:46.7567430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7567814Z     out = self.conv1(x)
2025-11-03T16:35:46.7568147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7568497Z     x = F.conv2d(
2025-11-03T16:35:46.7568587Z 
2025-11-03T16:35:46.7568692Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7569162Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7569617Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7570008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7570371Z     x = stage(x)
2025-11-03T16:35:46.7570702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7571130Z     out = F.relu_(out)
2025-11-03T16:35:46.7571238Z 
2025-11-03T16:35:46.7571341Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7571807Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7572253Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7572624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7573019Z     x = stage(x)
2025-11-03T16:35:46.7573358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7573733Z     out = self.conv2(out)
2025-11-03T16:35:46.7574058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7574402Z     x = F.conv2d(
2025-11-03T16:35:46.7574500Z 
2025-11-03T16:35:46.7574602Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7575068Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7575519Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7575891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7576256Z     x = stage(x)
2025-11-03T16:35:46.7576644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7577016Z     out = F.relu_(out)
2025-11-03T16:35:46.7577116Z 
2025-11-03T16:35:46.7577226Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7577687Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7578146Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7578534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7578904Z     x = stage(x)
2025-11-03T16:35:46.7579238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7579610Z     out = self.conv3(out)
2025-11-03T16:35:46.7579935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7580280Z     x = F.conv2d(
2025-11-03T16:35:46.7580368Z 
2025-11-03T16:35:46.7580476Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7580928Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7581371Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7581760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7582114Z     x = stage(x)
2025-11-03T16:35:46.7582435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7582785Z     out = F.relu_(out)
2025-11-03T16:35:46.7582891Z 
2025-11-03T16:35:46.7582991Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7583450Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7583885Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7584254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7584626Z     x = stage(x)
2025-11-03T16:35:46.7584952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7585311Z     out = self.conv1(x)
2025-11-03T16:35:46.7585625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7585951Z     x = F.conv2d(
2025-11-03T16:35:46.7586046Z 
2025-11-03T16:35:46.7586147Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7586616Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7587053Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7587433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7587789Z     x = stage(x)
2025-11-03T16:35:46.7588177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7588531Z     out = F.relu_(out)
2025-11-03T16:35:46.7588626Z 
2025-11-03T16:35:46.7588732Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7589184Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7589611Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7589981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7590366Z     x = stage(x)
2025-11-03T16:35:46.7590693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7591049Z     out = self.conv2(out)
2025-11-03T16:35:46.7591376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7591712Z     x = F.conv2d(
2025-11-03T16:35:46.7591800Z 
2025-11-03T16:35:46.7591909Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7592364Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7592800Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7593178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7593533Z     x = stage(x)
2025-11-03T16:35:46.7593858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7594213Z     out = F.relu_(out)
2025-11-03T16:35:46.7594320Z 
2025-11-03T16:35:46.7594420Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7594877Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7595313Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7595687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7596034Z     x = stage(x)
2025-11-03T16:35:46.7596363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7596729Z     out = self.conv3(out)
2025-11-03T16:35:46.7597053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7597397Z     x = F.conv2d(
2025-11-03T16:35:46.7597495Z 
2025-11-03T16:35:46.7597606Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7598189Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7598734Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7599143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7599512Z     x = stage(x)
2025-11-03T16:35:46.7599882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:35:46.7600318Z     shortcut = self.shortcut(x)
2025-11-03T16:35:46.7600703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7601077Z     x = F.conv2d(
2025-11-03T16:35:46.7601178Z 
2025-11-03T16:35:46.7601293Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7601803Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7602301Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7602716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7603122Z     x = stage(x)
2025-11-03T16:35:46.7603480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7603883Z     out = self.conv1(x)
2025-11-03T16:35:46.7604235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7604615Z     x = F.conv2d(
2025-11-03T16:35:46.7604753Z 
2025-11-03T16:35:46.7604867Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7605376Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7605839Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7606206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7606558Z     x = stage(x)
2025-11-03T16:35:46.7606878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7607244Z     out = F.relu_(out)
2025-11-03T16:35:46.7607352Z 
2025-11-03T16:35:46.7607457Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7607933Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7608364Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7608723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7609074Z     x = stage(x)
2025-11-03T16:35:46.7609393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7609751Z     out = self.conv2(out)
2025-11-03T16:35:46.7610064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7610395Z     x = F.conv2d(
2025-11-03T16:35:46.7610489Z 
2025-11-03T16:35:46.7610590Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7611047Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7611485Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7611845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7612195Z     x = stage(x)
2025-11-03T16:35:46.7612548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7612907Z     out = F.relu_(out)
2025-11-03T16:35:46.7613003Z 
2025-11-03T16:35:46.7613109Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7613556Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7613993Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7614385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7614741Z     x = stage(x)
2025-11-03T16:35:46.7615062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7615421Z     out = self.conv3(out)
2025-11-03T16:35:46.7615746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7616083Z     x = F.conv2d(
2025-11-03T16:35:46.7616173Z 
2025-11-03T16:35:46.7616282Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7616727Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7617164Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7617535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7617891Z     x = stage(x)
2025-11-03T16:35:46.7618255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7618619Z     out = F.relu_(out)
2025-11-03T16:35:46.7618727Z 
2025-11-03T16:35:46.7618831Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7619301Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7619749Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7620116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7620461Z     x = stage(x)
2025-11-03T16:35:46.7620788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7621150Z     out = self.conv1(x)
2025-11-03T16:35:46.7621465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7621789Z     x = F.conv2d(
2025-11-03T16:35:46.7621881Z 
2025-11-03T16:35:46.7621981Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7622434Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7622870Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7623237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7623583Z     x = stage(x)
2025-11-03T16:35:46.7623904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7624259Z     out = F.relu_(out)
2025-11-03T16:35:46.7624355Z 
2025-11-03T16:35:46.7624460Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7624913Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7625341Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7625712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7626091Z     x = stage(x)
2025-11-03T16:35:46.7626412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7626764Z     out = self.conv2(out)
2025-11-03T16:35:46.7627088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7627425Z     x = F.conv2d(
2025-11-03T16:35:46.7627531Z 
2025-11-03T16:35:46.7627638Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7628101Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7628532Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7628904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7629260Z     x = stage(x)
2025-11-03T16:35:46.7629588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7629947Z     out = F.relu_(out)
2025-11-03T16:35:46.7630045Z 
2025-11-03T16:35:46.7630145Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7630598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7631044Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7631462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7631818Z     x = stage(x)
2025-11-03T16:35:46.7632150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7632523Z     out = self.conv3(out)
2025-11-03T16:35:46.7632860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7633204Z     x = F.conv2d(
2025-11-03T16:35:46.7633294Z 
2025-11-03T16:35:46.7633399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7633905Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7634387Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7634788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7635158Z     x = stage(x)
2025-11-03T16:35:46.7635488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7635853Z     out = F.relu_(out)
2025-11-03T16:35:46.7635951Z 
2025-11-03T16:35:46.7636063Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7636541Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7637007Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7637408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7637888Z     x = stage(x)
2025-11-03T16:35:46.7638249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7638648Z     out = self.conv1(x)
2025-11-03T16:35:46.7639011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7639377Z     x = F.conv2d(
2025-11-03T16:35:46.7639484Z 
2025-11-03T16:35:46.7639594Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7640122Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7640592Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7640981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7641358Z     x = stage(x)
2025-11-03T16:35:46.7641706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7642124Z     out = F.relu_(out)
2025-11-03T16:35:46.7642223Z 
2025-11-03T16:35:46.7642326Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7642789Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7643240Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7643622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7643986Z     x = stage(x)
2025-11-03T16:35:46.7644311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7644684Z     out = self.conv2(out)
2025-11-03T16:35:46.7645017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7645363Z     x = F.conv2d(
2025-11-03T16:35:46.7645452Z 
2025-11-03T16:35:46.7645563Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7646078Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7646530Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7646913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7647279Z     x = stage(x)
2025-11-03T16:35:46.7647607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7647973Z     out = F.relu_(out)
2025-11-03T16:35:46.7648079Z 
2025-11-03T16:35:46.7648183Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7648666Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7649114Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7649490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7649854Z     x = stage(x)
2025-11-03T16:35:46.7650186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7650557Z     out = self.conv3(out)
2025-11-03T16:35:46.7650892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7651227Z     x = F.conv2d(
2025-11-03T16:35:46.7651327Z 
2025-11-03T16:35:46.7651430Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7651896Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7652347Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7652725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7653094Z     x = stage(x)
2025-11-03T16:35:46.7653428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7653820Z     out = F.relu_(out)
2025-11-03T16:35:46.7653919Z 
2025-11-03T16:35:46.7654029Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7654487Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7654933Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7655314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7655700Z     x = stage(x)
2025-11-03T16:35:46.7656033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7656396Z     out = self.conv1(x)
2025-11-03T16:35:46.7656723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7672001Z     x = F.conv2d(
2025-11-03T16:35:46.7672269Z 
2025-11-03T16:35:46.7672434Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7672979Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7673458Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7673866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7674248Z     x = stage(x)
2025-11-03T16:35:46.7674598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7675209Z     out = F.relu_(out)
2025-11-03T16:35:46.7675323Z 
2025-11-03T16:35:46.7675443Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7675916Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7676371Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7676761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7677141Z     x = stage(x)
2025-11-03T16:35:46.7677493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7677940Z     out = self.conv2(out)
2025-11-03T16:35:46.7678297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7678667Z     x = F.conv2d(
2025-11-03T16:35:46.7678770Z 
2025-11-03T16:35:46.7678898Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7679396Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7679880Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7680300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7680692Z     x = stage(x)
2025-11-03T16:35:46.7681115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7681479Z     out = F.relu_(out)
2025-11-03T16:35:46.7681595Z 
2025-11-03T16:35:46.7681703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7682175Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7682633Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7683024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7683372Z     x = stage(x)
2025-11-03T16:35:46.7683739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7684104Z     out = self.conv3(out)
2025-11-03T16:35:46.7684433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7684763Z     x = F.conv2d(
2025-11-03T16:35:46.7684869Z 
2025-11-03T16:35:46.7684974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7685507Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7685956Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7686343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7686704Z     x = stage(x)
2025-11-03T16:35:46.7687043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7687418Z     out = F.relu_(out)
2025-11-03T16:35:46.7687521Z 
2025-11-03T16:35:46.7687641Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7688105Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7688542Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7688920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7689278Z     x = stage(x)
2025-11-03T16:35:46.7689646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7689998Z     out = self.conv1(x)
2025-11-03T16:35:46.7690333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7690679Z     x = F.conv2d(
2025-11-03T16:35:46.7690772Z 
2025-11-03T16:35:46.7690889Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7691363Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7691795Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7692180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7692548Z     x = stage(x)
2025-11-03T16:35:46.7692888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7693254Z     out = F.relu_(out)
2025-11-03T16:35:46.7693358Z 
2025-11-03T16:35:46.7693463Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7693936Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7694392Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7694778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7695138Z     x = stage(x)
2025-11-03T16:35:46.7695480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7695861Z     out = self.conv2(out)
2025-11-03T16:35:46.7696200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7696546Z     x = F.conv2d(
2025-11-03T16:35:46.7696642Z 
2025-11-03T16:35:46.7696747Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7697218Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7697686Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7698068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7698434Z     x = stage(x)
2025-11-03T16:35:46.7698764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7699126Z     out = F.relu_(out)
2025-11-03T16:35:46.7699258Z 
2025-11-03T16:35:46.7699364Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7699839Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7700291Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7700666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7701034Z     x = stage(x)
2025-11-03T16:35:46.7701376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7701751Z     out = self.conv3(out)
2025-11-03T16:35:46.7702080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7702431Z     x = F.conv2d(
2025-11-03T16:35:46.7702530Z 
2025-11-03T16:35:46.7702634Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7703125Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7703570Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7703939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7704300Z     x = stage(x)
2025-11-03T16:35:46.7704631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7704991Z     out = F.relu_(out)
2025-11-03T16:35:46.7705090Z 
2025-11-03T16:35:46.7705192Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7705650Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7706082Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7706447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7706799Z     x = stage(x)
2025-11-03T16:35:46.7707118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7707484Z     out = self.conv1(x)
2025-11-03T16:35:46.7707810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7708156Z     x = F.conv2d(
2025-11-03T16:35:46.7708246Z 
2025-11-03T16:35:46.7708356Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7708806Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7709253Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7709631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7709992Z     x = stage(x)
2025-11-03T16:35:46.7710314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7710673Z     out = F.relu_(out)
2025-11-03T16:35:46.7710781Z 
2025-11-03T16:35:46.7710883Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7711356Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7711794Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7712157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7712511Z     x = stage(x)
2025-11-03T16:35:46.7712836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7713244Z     out = self.conv2(out)
2025-11-03T16:35:46.7713575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7713903Z     x = F.conv2d(
2025-11-03T16:35:46.7714004Z 
2025-11-03T16:35:46.7714106Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7714561Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7715001Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7715365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7715719Z     x = stage(x)
2025-11-03T16:35:46.7716044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7716404Z     out = F.relu_(out)
2025-11-03T16:35:46.7716503Z 
2025-11-03T16:35:46.7716615Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7717099Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7717550Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7718045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7718456Z     x = stage(x)
2025-11-03T16:35:46.7718832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7719248Z     out = self.conv3(out)
2025-11-03T16:35:46.7719607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7719959Z     x = F.conv2d(
2025-11-03T16:35:46.7720052Z 
2025-11-03T16:35:46.7720168Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7720642Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7721087Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7721471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7721842Z     x = stage(x)
2025-11-03T16:35:46.7722181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7722544Z     out = F.relu_(out)
2025-11-03T16:35:46.7722655Z 
2025-11-03T16:35:46.7722758Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7723226Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7723688Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7724076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7724511Z     x = stage(x)
2025-11-03T16:35:46.7724844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7725233Z     out = self.conv1(x)
2025-11-03T16:35:46.7725558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7725898Z     x = F.conv2d(
2025-11-03T16:35:46.7725988Z 
2025-11-03T16:35:46.7726092Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7726557Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7727028Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7727413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7727770Z     x = stage(x)
2025-11-03T16:35:46.7728102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7728463Z     out = F.relu_(out)
2025-11-03T16:35:46.7728567Z 
2025-11-03T16:35:46.7728677Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7729140Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7729580Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7729960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7730306Z     x = stage(x)
2025-11-03T16:35:46.7730625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7731010Z     out = self.conv2(out)
2025-11-03T16:35:46.7731320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7731646Z     x = F.conv2d(
2025-11-03T16:35:46.7731741Z 
2025-11-03T16:35:46.7731841Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7732286Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7732704Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7733063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7733408Z     x = stage(x)
2025-11-03T16:35:46.7733727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7734070Z     out = F.relu_(out)
2025-11-03T16:35:46.7734167Z 
2025-11-03T16:35:46.7734266Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7734706Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7735128Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7735494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7735834Z     x = stage(x)
2025-11-03T16:35:46.7736141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7736494Z     out = self.conv3(out)
2025-11-03T16:35:46.7736816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7737154Z     x = F.conv2d(
2025-11-03T16:35:46.7737240Z 
2025-11-03T16:35:46.7737340Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7737779Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7738203Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7738584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7738927Z     x = stage(x)
2025-11-03T16:35:46.7739235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7739582Z     out = F.relu_(out)
2025-11-03T16:35:46.7739684Z 
2025-11-03T16:35:46.7739782Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7740244Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7740676Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7741069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7741427Z     x = stage(x)
2025-11-03T16:35:46.7741759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7742109Z     out = self.conv1(x)
2025-11-03T16:35:46.7742417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7742753Z     x = F.conv2d(
2025-11-03T16:35:46.7742852Z 
2025-11-03T16:35:46.7742954Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7743412Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7743855Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7744256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7744609Z     x = stage(x)
2025-11-03T16:35:46.7744933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7745293Z     out = F.relu_(out)
2025-11-03T16:35:46.7745394Z 
2025-11-03T16:35:46.7745503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7745954Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7746402Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7746784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7747151Z     x = stage(x)
2025-11-03T16:35:46.7747483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7747843Z     out = self.conv2(out)
2025-11-03T16:35:46.7748168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7748504Z     x = F.conv2d(
2025-11-03T16:35:46.7748594Z 
2025-11-03T16:35:46.7748703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7749149Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7749587Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7749957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7750310Z     x = stage(x)
2025-11-03T16:35:46.7750634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7750987Z     out = F.relu_(out)
2025-11-03T16:35:46.7751093Z 
2025-11-03T16:35:46.7751193Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7751645Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7752110Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7752480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7752829Z     x = stage(x)
2025-11-03T16:35:46.7753155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7753537Z     out = self.conv3(out)
2025-11-03T16:35:46.7753859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7754185Z     x = F.conv2d(
2025-11-03T16:35:46.7754286Z 
2025-11-03T16:35:46.7754388Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7754841Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7755281Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7755649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7756066Z     x = stage(x)
2025-11-03T16:35:46.7756398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7756764Z     out = F.relu_(out)
2025-11-03T16:35:46.7756864Z 
2025-11-03T16:35:46.7756976Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7757472Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7758024Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7758411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7758817Z     x = stage(x)
2025-11-03T16:35:46.7759194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7759580Z     out = self.conv1(x)
2025-11-03T16:35:46.7759928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7760293Z     x = F.conv2d(
2025-11-03T16:35:46.7760391Z 
2025-11-03T16:35:46.7760509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7761025Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7761475Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7761863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7762227Z     x = stage(x)
2025-11-03T16:35:46.7762568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7762926Z     out = F.relu_(out)
2025-11-03T16:35:46.7763034Z 
2025-11-03T16:35:46.7763137Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7763611Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7764067Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7764448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7764805Z     x = stage(x)
2025-11-03T16:35:46.7765146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7765519Z     out = self.conv2(out)
2025-11-03T16:35:46.7765858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7766242Z     x = F.conv2d(
2025-11-03T16:35:46.7766337Z 
2025-11-03T16:35:46.7766445Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7767121Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7767583Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7767966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7768393Z     x = stage(x)
2025-11-03T16:35:46.7768722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7769083Z     out = F.relu_(out)
2025-11-03T16:35:46.7769185Z 
2025-11-03T16:35:46.7769296Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7769768Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7770214Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7770598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7770957Z     x = stage(x)
2025-11-03T16:35:46.7771294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7771669Z     out = self.conv3(out)
2025-11-03T16:35:46.7772050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7772395Z     x = F.conv2d(
2025-11-03T16:35:46.7772496Z 
2025-11-03T16:35:46.7772599Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7773061Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7773511Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7773881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7774240Z     x = stage(x)
2025-11-03T16:35:46.7774572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7774939Z     out = F.relu_(out)
2025-11-03T16:35:46.7775039Z 
2025-11-03T16:35:46.7775144Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7775616Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7776061Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7776439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7776802Z     x = stage(x)
2025-11-03T16:35:46.7777124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7777489Z     out = self.conv1(x)
2025-11-03T16:35:46.7777815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7778154Z     x = F.conv2d(
2025-11-03T16:35:46.7778247Z 
2025-11-03T16:35:46.7778349Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7778814Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7779260Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7779643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7780040Z     x = stage(x)
2025-11-03T16:35:46.7780366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7780734Z     out = F.relu_(out)
2025-11-03T16:35:46.7780842Z 
2025-11-03T16:35:46.7780944Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7781414Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7781882Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7782248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7782602Z     x = stage(x)
2025-11-03T16:35:46.7782931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7783297Z     out = self.conv2(out)
2025-11-03T16:35:46.7783614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7783948Z     x = F.conv2d(
2025-11-03T16:35:46.7784046Z 
2025-11-03T16:35:46.7784148Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7784688Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7785125Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7785486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7785870Z     x = stage(x)
2025-11-03T16:35:46.7786198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7786564Z     out = F.relu_(out)
2025-11-03T16:35:46.7786664Z 
2025-11-03T16:35:46.7786774Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7787224Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7787667Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7788041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7788408Z     x = stage(x)
2025-11-03T16:35:46.7788736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7789091Z     out = self.conv3(out)
2025-11-03T16:35:46.7789422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7789764Z     x = F.conv2d(
2025-11-03T16:35:46.7789854Z 
2025-11-03T16:35:46.7789965Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7790444Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7790961Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7791333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7791695Z     x = stage(x)
2025-11-03T16:35:46.7792026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7792389Z     out = F.relu_(out)
2025-11-03T16:35:46.7792498Z 
2025-11-03T16:35:46.7792604Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7793078Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7793534Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7793978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7794330Z     x = stage(x)
2025-11-03T16:35:46.7794665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7795033Z     out = self.conv1(x)
2025-11-03T16:35:46.7795360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7795714Z     x = F.conv2d(
2025-11-03T16:35:46.7795813Z 
2025-11-03T16:35:46.7795917Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7796408Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7796884Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7797285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7797756Z     x = stage(x)
2025-11-03T16:35:46.7798124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7798526Z     out = F.relu_(out)
2025-11-03T16:35:46.7798637Z 
2025-11-03T16:35:46.7798760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7799278Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7799758Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7800187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7800554Z     x = stage(x)
2025-11-03T16:35:46.7800887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7801260Z     out = self.conv2(out)
2025-11-03T16:35:46.7801588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7801930Z     x = F.conv2d(
2025-11-03T16:35:46.7802023Z 
2025-11-03T16:35:46.7802131Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7802595Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7803037Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7803418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7803781Z     x = stage(x)
2025-11-03T16:35:46.7804115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7804483Z     out = F.relu_(out)
2025-11-03T16:35:46.7804582Z 
2025-11-03T16:35:46.7804685Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7805149Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7805597Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7805974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7806336Z     x = stage(x)
2025-11-03T16:35:46.7806663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7807053Z     out = self.conv3(out)
2025-11-03T16:35:46.7807374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7807712Z     x = F.conv2d(
2025-11-03T16:35:46.7807833Z 
2025-11-03T16:35:46.7807938Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7808403Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7808840Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7809217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7809597Z     x = stage(x)
2025-11-03T16:35:46.7809931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7810299Z     out = F.relu_(out)
2025-11-03T16:35:46.7810401Z 
2025-11-03T16:35:46.7810504Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7810966Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7811420Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7811789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7812140Z     x = stage(x)
2025-11-03T16:35:46.7812452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7812809Z     out = self.conv1(x)
2025-11-03T16:35:46.7813130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7813467Z     x = F.conv2d(
2025-11-03T16:35:46.7813555Z 
2025-11-03T16:35:46.7813703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7814164Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7814611Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7814989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7815350Z     x = stage(x)
2025-11-03T16:35:46.7815672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7816035Z     out = F.relu_(out)
2025-11-03T16:35:46.7816142Z 
2025-11-03T16:35:46.7816246Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7816726Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7817165Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7817526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7817879Z     x = stage(x)
2025-11-03T16:35:46.7818202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7818560Z     out = self.conv2(out)
2025-11-03T16:35:46.7818878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7819217Z     x = F.conv2d(
2025-11-03T16:35:46.7819313Z 
2025-11-03T16:35:46.7819414Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7819881Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7820320Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7820686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7821048Z     x = stage(x)
2025-11-03T16:35:46.7821374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7821755Z     out = F.relu_(out)
2025-11-03T16:35:46.7821853Z 
2025-11-03T16:35:46.7821962Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7822409Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7822844Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7823249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7823604Z     x = stage(x)
2025-11-03T16:35:46.7823926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7824287Z     out = self.conv3(out)
2025-11-03T16:35:46.7824610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7824950Z     x = F.conv2d(
2025-11-03T16:35:46.7825037Z 
2025-11-03T16:35:46.7825148Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7825598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7826039Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7826413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7826772Z     x = stage(x)
2025-11-03T16:35:46.7827131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7827490Z     out = F.relu_(out)
2025-11-03T16:35:46.7827598Z 
2025-11-03T16:35:46.7827702Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7828022Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7828106Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7828347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7828416Z     x = stage(x)
2025-11-03T16:35:46.7828664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7828736Z     out = self.conv1(x)
2025-11-03T16:35:46.7828947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7829008Z     x = F.conv2d(
2025-11-03T16:35:46.7829012Z 
2025-11-03T16:35:46.7829120Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7829419Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7829505Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7829738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7829803Z     x = stage(x)
2025-11-03T16:35:46.7830037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7830100Z     out = F.relu_(out)
2025-11-03T16:35:46.7830105Z 
2025-11-03T16:35:46.7830211Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7830510Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7830596Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7830825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7830906Z     x = stage(x)
2025-11-03T16:35:46.7831148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7831212Z     out = self.conv2(out)
2025-11-03T16:35:46.7831431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7831489Z     x = F.conv2d(
2025-11-03T16:35:46.7831493Z 
2025-11-03T16:35:46.7831614Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7831908Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7831984Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7832227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7832286Z     x = stage(x)
2025-11-03T16:35:46.7832530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7832593Z     out = F.relu_(out)
2025-11-03T16:35:46.7832597Z 
2025-11-03T16:35:46.7832699Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7833010Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7833093Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7833334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7833425Z     x = stage(x)
2025-11-03T16:35:46.7833663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7833737Z     out = self.conv3(out)
2025-11-03T16:35:46.7833956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7834023Z     x = F.conv2d(
2025-11-03T16:35:46.7834027Z 
2025-11-03T16:35:46.7834128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7834439Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7834519Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7834757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7834823Z     x = stage(x)
2025-11-03T16:35:46.7835066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7835136Z     out = F.relu_(out)
2025-11-03T16:35:46.7835139Z 
2025-11-03T16:35:46.7835241Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7835548Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7835637Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7835876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7835943Z     x = stage(x)
2025-11-03T16:35:46.7836178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7836254Z     out = self.conv1(x)
2025-11-03T16:35:46.7836473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7836533Z     x = F.conv2d(
2025-11-03T16:35:46.7836537Z 
2025-11-03T16:35:46.7836648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7836952Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7837063Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7837302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7837361Z     x = stage(x)
2025-11-03T16:35:46.7837624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7837800Z     out = F.relu_(out)
2025-11-03T16:35:46.7837807Z 
2025-11-03T16:35:46.7837932Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7838266Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7838362Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7838623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7838691Z     x = stage(x)
2025-11-03T16:35:46.7838961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7839034Z     out = self.conv2(out)
2025-11-03T16:35:46.7839284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7839350Z     x = F.conv2d(
2025-11-03T16:35:46.7839354Z 
2025-11-03T16:35:46.7839477Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7839855Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7839942Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7840201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7840266Z     x = stage(x)
2025-11-03T16:35:46.7840528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7840595Z     out = F.relu_(out)
2025-11-03T16:35:46.7840599Z 
2025-11-03T16:35:46.7840706Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7841034Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7841120Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7841377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7841440Z     x = stage(x)
2025-11-03T16:35:46.7841698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7841779Z     out = self.conv3(out)
2025-11-03T16:35:46.7842009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7842080Z     x = F.conv2d(
2025-11-03T16:35:46.7842084Z 
2025-11-03T16:35:46.7842189Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7842524Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7842610Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7842874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7842945Z     x = stage(x)
2025-11-03T16:35:46.7843207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7843281Z     out = F.relu_(out)
2025-11-03T16:35:46.7843305Z 
2025-11-03T16:35:46.7843414Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7843743Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7843836Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7844100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7844191Z     x = stage(x)
2025-11-03T16:35:46.7844452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7844522Z     out = self.conv1(x)
2025-11-03T16:35:46.7844763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7844825Z     x = F.conv2d(
2025-11-03T16:35:46.7844828Z 
2025-11-03T16:35:46.7844944Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7845267Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7845360Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7845623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7845685Z     x = stage(x)
2025-11-03T16:35:46.7845967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7846035Z     out = F.relu_(out)
2025-11-03T16:35:46.7846038Z 
2025-11-03T16:35:46.7846199Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7846520Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7846602Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7846847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7846906Z     x = stage(x)
2025-11-03T16:35:46.7847149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7847213Z     out = self.conv2(out)
2025-11-03T16:35:46.7847435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7847496Z     x = F.conv2d(
2025-11-03T16:35:46.7847499Z 
2025-11-03T16:35:46.7847601Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7847907Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7847986Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7848230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7848289Z     x = stage(x)
2025-11-03T16:35:46.7848527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7848596Z     out = F.relu_(out)
2025-11-03T16:35:46.7848599Z 
2025-11-03T16:35:46.7848701Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7849013Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7849096Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7849341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7849401Z     x = stage(x)
2025-11-03T16:35:46.7849641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7849738Z     out = self.conv3(out)
2025-11-03T16:35:46.7849962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7850029Z     x = F.conv2d(
2025-11-03T16:35:46.7850032Z 
2025-11-03T16:35:46.7850134Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7850440Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7850547Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7850791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7850859Z     x = stage(x)
2025-11-03T16:35:46.7851098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7851171Z     out = F.relu_(out)
2025-11-03T16:35:46.7851174Z 
2025-11-03T16:35:46.7851277Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7851583Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7851670Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7851916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7851983Z     x = stage(x)
2025-11-03T16:35:46.7852245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7852312Z     out = self.conv1(x)
2025-11-03T16:35:46.7852533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7852592Z     x = F.conv2d(
2025-11-03T16:35:46.7852595Z 
2025-11-03T16:35:46.7852702Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7852994Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7853079Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7853309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7853368Z     x = stage(x)
2025-11-03T16:35:46.7853605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7853668Z     out = F.relu_(out)
2025-11-03T16:35:46.7853671Z 
2025-11-03T16:35:46.7853776Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7854068Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7854147Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7854386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7854445Z     x = stage(x)
2025-11-03T16:35:46.7854683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7854747Z     out = self.conv2(out)
2025-11-03T16:35:46.7854956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7855024Z     x = F.conv2d(
2025-11-03T16:35:46.7855030Z 
2025-11-03T16:35:46.7855130Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7855429Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7855530Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7855771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7855828Z     x = stage(x)
2025-11-03T16:35:46.7856060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7856130Z     out = F.relu_(out)
2025-11-03T16:35:46.7856134Z 
2025-11-03T16:35:46.7856253Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7856559Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7856637Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7856869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7856936Z     x = stage(x)
2025-11-03T16:35:46.7857169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7857240Z     out = self.conv3(out)
2025-11-03T16:35:46.7857452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7857518Z     x = F.conv2d(
2025-11-03T16:35:46.7857521Z 
2025-11-03T16:35:46.7857620Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7857915Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7858042Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7858276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7858341Z     x = stage(x)
2025-11-03T16:35:46.7858573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7858633Z     out = F.relu_(out)
2025-11-03T16:35:46.7858636Z 
2025-11-03T16:35:46.7858740Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7859033Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7859117Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7859349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7859411Z     x = stage(x)
2025-11-03T16:35:46.7859642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7859704Z     out = self.conv1(x)
2025-11-03T16:35:46.7859922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7859982Z     x = F.conv2d(
2025-11-03T16:35:46.7859985Z 
2025-11-03T16:35:46.7860089Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7860379Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7860458Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7860698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7860757Z     x = stage(x)
2025-11-03T16:35:46.7860996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7861057Z     out = F.relu_(out)
2025-11-03T16:35:46.7861060Z 
2025-11-03T16:35:46.7861165Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7861473Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7861550Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7861789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7861847Z     x = stage(x)
2025-11-03T16:35:46.7862085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7862167Z     out = self.conv2(out)
2025-11-03T16:35:46.7862381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7862447Z     x = F.conv2d(
2025-11-03T16:35:46.7862451Z 
2025-11-03T16:35:46.7862550Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7862858Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7862937Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7863179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7863236Z     x = stage(x)
2025-11-03T16:35:46.7863470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7863541Z     out = F.relu_(out)
2025-11-03T16:35:46.7863544Z 
2025-11-03T16:35:46.7863646Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7863982Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7864073Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7864299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7864366Z     x = stage(x)
2025-11-03T16:35:46.7864591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7864664Z     out = self.conv3(out)
2025-11-03T16:35:46.7864871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7864929Z     x = F.conv2d(
2025-11-03T16:35:46.7864943Z 
2025-11-03T16:35:46.7865041Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7865332Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7865415Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7865642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7865707Z     x = stage(x)
2025-11-03T16:35:46.7865939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7866000Z     out = F.relu_(out)
2025-11-03T16:35:46.7866003Z 
2025-11-03T16:35:46.7866109Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7866394Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7866478Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7866709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7866766Z     x = stage(x)
2025-11-03T16:35:46.7867215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7867283Z     out = self.conv1(x)
2025-11-03T16:35:46.7867550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7867608Z     x = F.conv2d(
2025-11-03T16:35:46.7867611Z 
2025-11-03T16:35:46.7867720Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7868008Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7868121Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7868359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7868420Z     x = stage(x)
2025-11-03T16:35:46.7868662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7868723Z     out = F.relu_(out)
2025-11-03T16:35:46.7868726Z 
2025-11-03T16:35:46.7868829Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7869140Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7869217Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7869453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7869511Z     x = stage(x)
2025-11-03T16:35:46.7869755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7869819Z     out = self.conv2(out)
2025-11-03T16:35:46.7870086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7870156Z     x = F.conv2d(
2025-11-03T16:35:46.7870159Z 
2025-11-03T16:35:46.7870260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7870564Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7870643Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7870875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7870940Z     x = stage(x)
2025-11-03T16:35:46.7871171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7871241Z     out = F.relu_(out)
2025-11-03T16:35:46.7871244Z 
2025-11-03T16:35:46.7871345Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7871646Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7871725Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7871957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7872020Z     x = stage(x)
2025-11-03T16:35:46.7872249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7872319Z     out = self.conv3(out)
2025-11-03T16:35:46.7872532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7872592Z     x = F.conv2d(
2025-11-03T16:35:46.7872595Z 
2025-11-03T16:35:46.7872702Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7872997Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7873082Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7873311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7873384Z     x = stage(x)
2025-11-03T16:35:46.7873624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7873683Z     out = F.relu_(out)
2025-11-03T16:35:46.7873686Z 
2025-11-03T16:35:46.7873790Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7874087Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7874191Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7874423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7874481Z     x = stage(x)
2025-11-03T16:35:46.7874727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7874793Z     out = self.conv1(x)
2025-11-03T16:35:46.7875016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7875075Z     x = F.conv2d(
2025-11-03T16:35:46.7875078Z 
2025-11-03T16:35:46.7875180Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7875488Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7875569Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7875847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7875907Z     x = stage(x)
2025-11-03T16:35:46.7876152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7876216Z     out = F.relu_(out)
2025-11-03T16:35:46.7876219Z 
2025-11-03T16:35:46.7876320Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7876629Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7876710Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7876952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7877014Z     x = stage(x)
2025-11-03T16:35:46.7877253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7877328Z     out = self.conv2(out)
2025-11-03T16:35:46.7877562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7877633Z     x = F.conv2d(
2025-11-03T16:35:46.7877638Z 
2025-11-03T16:35:46.7877805Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7878147Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7878234Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7878491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7878579Z     x = stage(x)
2025-11-03T16:35:46.7878830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7878906Z     out = F.relu_(out)
2025-11-03T16:35:46.7878910Z 
2025-11-03T16:35:46.7879018Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7879337Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7879462Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7879693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7879757Z     x = stage(x)
2025-11-03T16:35:46.7879987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7880061Z     out = self.conv3(out)
2025-11-03T16:35:46.7880293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7880353Z     x = F.conv2d(
2025-11-03T16:35:46.7880356Z 
2025-11-03T16:35:46.7880467Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7880772Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7880866Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7881104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7881163Z     x = stage(x)
2025-11-03T16:35:46.7881407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7881471Z     out = F.relu_(out)
2025-11-03T16:35:46.7881474Z 
2025-11-03T16:35:46.7881582Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7881897Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7882012Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7882248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7882307Z     x = stage(x)
2025-11-03T16:35:46.7882548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7882611Z     out = self.conv1(x)
2025-11-03T16:35:46.7882829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7882887Z     x = F.conv2d(
2025-11-03T16:35:46.7882890Z 
2025-11-03T16:35:46.7882988Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7883294Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7883375Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7883616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7883674Z     x = stage(x)
2025-11-03T16:35:46.7883907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7883977Z     out = F.relu_(out)
2025-11-03T16:35:46.7883980Z 
2025-11-03T16:35:46.7884078Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7884376Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7884453Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7884691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7884749Z     x = stage(x)
2025-11-03T16:35:46.7884982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7885055Z     out = self.conv2(out)
2025-11-03T16:35:46.7885264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7885348Z     x = F.conv2d(
2025-11-03T16:35:46.7885351Z 
2025-11-03T16:35:46.7885450Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7885750Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7885835Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7886068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7886154Z     x = stage(x)
2025-11-03T16:35:46.7886389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7886456Z     out = F.relu_(out)
2025-11-03T16:35:46.7886459Z 
2025-11-03T16:35:46.7886558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7886851Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7886940Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7887172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7887234Z     x = stage(x)
2025-11-03T16:35:46.7887536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7887602Z     out = self.conv3(out)
2025-11-03T16:35:46.7887819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7887908Z     x = F.conv2d(
2025-11-03T16:35:46.7887912Z 
2025-11-03T16:35:46.7888019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7888314Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7888399Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7888634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7888691Z     x = stage(x)
2025-11-03T16:35:46.7888928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7888989Z     out = F.relu_(out)
2025-11-03T16:35:46.7888994Z 
2025-11-03T16:35:46.7889097Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7889396Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7889474Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7889714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7889773Z     x = stage(x)
2025-11-03T16:35:46.7890014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7890075Z     out = self.conv1(x)
2025-11-03T16:35:46.7890294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7890351Z     x = F.conv2d(
2025-11-03T16:35:46.7890354Z 
2025-11-03T16:35:46.7890453Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7890755Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7890833Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7891073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7891160Z     x = stage(x)
2025-11-03T16:35:46.7891391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7891460Z     out = F.relu_(out)
2025-11-03T16:35:46.7891463Z 
2025-11-03T16:35:46.7891562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7891863Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7891959Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7892196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7892256Z     x = stage(x)
2025-11-03T16:35:46.7892490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7892562Z     out = self.conv2(out)
2025-11-03T16:35:46.7892776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7892842Z     x = F.conv2d(
2025-11-03T16:35:46.7892845Z 
2025-11-03T16:35:46.7892945Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7893241Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7893328Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7893560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7893625Z     x = stage(x)
2025-11-03T16:35:46.7893886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7893950Z     out = F.relu_(out)
2025-11-03T16:35:46.7893962Z 
2025-11-03T16:35:46.7894061Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7894360Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7894448Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7894678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7894743Z     x = stage(x)
2025-11-03T16:35:46.7894973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7895039Z     out = self.conv3(out)
2025-11-03T16:35:46.7895262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7895320Z     x = F.conv2d(
2025-11-03T16:35:46.7895323Z 
2025-11-03T16:35:46.7895430Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7895726Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7895804Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7896042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7896100Z     x = stage(x)
2025-11-03T16:35:46.7896335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7896399Z     out = F.relu_(out)
2025-11-03T16:35:46.7896402Z 
2025-11-03T16:35:46.7896508Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7896808Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7896886Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7897128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7897204Z     x = stage(x)
2025-11-03T16:35:46.7897444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7897506Z     out = self.conv1(x)
2025-11-03T16:35:46.7897720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7897803Z     x = F.conv2d(
2025-11-03T16:35:46.7897806Z 
2025-11-03T16:35:46.7897907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7898214Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7898291Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7898532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7898591Z     x = stage(x)
2025-11-03T16:35:46.7898820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7898891Z     out = F.relu_(out)
2025-11-03T16:35:46.7898894Z 
2025-11-03T16:35:46.7898995Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7899298Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7899378Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7899642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7899711Z     x = stage(x)
2025-11-03T16:35:46.7899939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7900013Z     out = self.conv2(out)
2025-11-03T16:35:46.7900220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7900278Z     x = F.conv2d(
2025-11-03T16:35:46.7900289Z 
2025-11-03T16:35:46.7900389Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7900681Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7900768Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7900998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7901064Z     x = stage(x)
2025-11-03T16:35:46.7901294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7901354Z     out = F.relu_(out)
2025-11-03T16:35:46.7901359Z 
2025-11-03T16:35:46.7901466Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7901759Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7901843Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7902074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7902139Z     x = stage(x)
2025-11-03T16:35:46.7902369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7902433Z     out = self.conv3(out)
2025-11-03T16:35:46.7902648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7902706Z     x = F.conv2d(
2025-11-03T16:35:46.7902709Z 
2025-11-03T16:35:46.7902811Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7903125Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7903201Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7903440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7903496Z     x = stage(x)
2025-11-03T16:35:46.7903762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7903822Z     out = F.relu_(out)
2025-11-03T16:35:46.7903825Z 
2025-11-03T16:35:46.7903925Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7904226Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7904305Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7904544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7904601Z     x = stage(x)
2025-11-03T16:35:46.7904836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7904897Z     out = self.conv1(x)
2025-11-03T16:35:46.7905106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7905173Z     x = F.conv2d(
2025-11-03T16:35:46.7905176Z 
2025-11-03T16:35:46.7905337Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7905641Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7905719Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7905955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7906024Z     x = stage(x)
2025-11-03T16:35:46.7906262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7906332Z     out = F.relu_(out)
2025-11-03T16:35:46.7906335Z 
2025-11-03T16:35:46.7906438Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7906745Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7906828Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7907066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7907136Z     x = stage(x)
2025-11-03T16:35:46.7907374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7907451Z     out = self.conv2(out)
2025-11-03T16:35:46.7907668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7907730Z     x = F.conv2d(
2025-11-03T16:35:46.7907733Z 
2025-11-03T16:35:46.7907841Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7908140Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7908228Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7908470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7908538Z     x = stage(x)
2025-11-03T16:35:46.7908776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7908858Z     out = F.relu_(out)
2025-11-03T16:35:46.7908862Z 
2025-11-03T16:35:46.7908971Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7909271Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7909356Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7909590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7909664Z     x = stage(x)
2025-11-03T16:35:46.7909907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7909972Z     out = self.conv3(out)
2025-11-03T16:35:46.7910189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7910248Z     x = F.conv2d(
2025-11-03T16:35:46.7910251Z 
2025-11-03T16:35:46.7910358Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7910650Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7910727Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7910965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7911023Z     x = stage(x)
2025-11-03T16:35:46.7911261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:35:46.7911393Z     shortcut = self.shortcut(x)
2025-11-03T16:35:46.7911607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7911675Z     x = F.conv2d(
2025-11-03T16:35:46.7911679Z 
2025-11-03T16:35:46.7911781Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7912090Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7912168Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7912414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7912475Z     x = stage(x)
2025-11-03T16:35:46.7912713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7912785Z     out = self.conv1(x)
2025-11-03T16:35:46.7913005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7913073Z     x = F.conv2d(
2025-11-03T16:35:46.7913076Z 
2025-11-03T16:35:46.7913179Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7913486Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7913574Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7913814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7913880Z     x = stage(x)
2025-11-03T16:35:46.7914118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7914180Z     out = F.relu_(out)
2025-11-03T16:35:46.7914184Z 
2025-11-03T16:35:46.7914294Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7914598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7914686Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7914944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7915009Z     x = stage(x)
2025-11-03T16:35:46.7915247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7915312Z     out = self.conv2(out)
2025-11-03T16:35:46.7915538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7915615Z     x = F.conv2d(
2025-11-03T16:35:46.7915618Z 
2025-11-03T16:35:46.7915727Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7916036Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7916115Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7916365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7916423Z     x = stage(x)
2025-11-03T16:35:46.7916674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7916735Z     out = F.relu_(out)
2025-11-03T16:35:46.7916739Z 
2025-11-03T16:35:46.7916846Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7917150Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7917230Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7917530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7917592Z     x = stage(x)
2025-11-03T16:35:46.7917936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7918018Z     out = self.conv3(out)
2025-11-03T16:35:46.7918257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7918333Z     x = F.conv2d(
2025-11-03T16:35:46.7918336Z 
2025-11-03T16:35:46.7918448Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7918792Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7918880Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7919161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7919226Z     x = stage(x)
2025-11-03T16:35:46.7919540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7919611Z     out = F.relu_(out)
2025-11-03T16:35:46.7919614Z 
2025-11-03T16:35:46.7919713Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7920017Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7920097Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7920328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7920397Z     x = stage(x)
2025-11-03T16:35:46.7920708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:35:46.7920786Z     out = self.conv1(x)
2025-11-03T16:35:46.7921026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7921090Z     x = F.conv2d(
2025-11-03T16:35:46.7921124Z 
2025-11-03T16:35:46.7921238Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7921576Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7921670Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7921938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7922031Z     x = stage(x)
2025-11-03T16:35:46.7922300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:35:46.7922371Z     out = F.relu_(out)
2025-11-03T16:35:46.7922374Z 
2025-11-03T16:35:46.7922493Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7922831Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7922927Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7923195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7923260Z     x = stage(x)
2025-11-03T16:35:46.7923537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:35:46.7923609Z     out = self.conv2(out)
2025-11-03T16:35:46.7923854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7923918Z     x = F.conv2d(
2025-11-03T16:35:46.7923922Z 
2025-11-03T16:35:46.7924073Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7924418Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7924505Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7924789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7924853Z     x = stage(x)
2025-11-03T16:35:46.7925125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:35:46.7925191Z     out = F.relu_(out)
2025-11-03T16:35:46.7925195Z 
2025-11-03T16:35:46.7925306Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7925653Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7925740Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7926011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7926075Z     x = stage(x)
2025-11-03T16:35:46.7926344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:35:46.7926415Z     out = self.conv3(out)
2025-11-03T16:35:46.7926654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:46.7926727Z     x = F.conv2d(
2025-11-03T16:35:46.7926731Z 
2025-11-03T16:35:46.7926842Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:46.7927192Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:35:46.7927281Z     features = self.backbone(images.tensor)
2025-11-03T16:35:46.7927543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:35:46.7927613Z     x = stage(x)
2025-11-03T16:35:46.7927883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:35:46.7927985Z     out = F.relu_(out)
2025-11-03T16:35:46.7927988Z 
2025-11-03T16:35:55.1725950Z cudagraph partition due to non gpu ops
2025-11-03T16:35:55.1729002Z cudagraph partition due to non gpu ops
2025-11-03T16:35:55.1729451Z cudagraph partition due to non gpu ops
2025-11-03T16:35:55.1729814Z cudagraph partition due to non gpu ops
2025-11-03T16:35:55.1730144Z cudagraph partition due to non gpu ops
2025-11-03T16:35:55.1730803Z cudagraph partition due to non gpu ops
2025-11-03T16:35:55.1731077Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:55.1731610Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:35:55.1732143Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:35:55.1732705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:35:55.1733172Z     t = self.conv(x)
2025-11-03T16:35:55.1733548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:35:55.1733938Z     x = F.conv2d(
2025-11-03T16:35:55.1734047Z 
2025-11-03T16:35:55.1734160Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:55.1734681Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:35:55.1735228Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:35:55.1735886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:35:55.1736320Z     t = self.conv(x)
2025-11-03T16:35:55.1736696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:35:55.1737087Z     x = self.activation(x)
2025-11-03T16:35:55.1737209Z 
2025-11-03T16:35:55.1737357Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:55.1737799Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:35:55.1738288Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:35:55.1738748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:35:55.1739196Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:35:55.1739369Z 
2025-11-03T16:35:55.1739488Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:55.1739907Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:35:55.1740363Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:35:55.1740824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:35:55.1741241Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:35:55.1741394Z 
2025-11-03T16:35:55.1741508Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:55.1741922Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:35:55.1742332Z     anchors = self.anchor_generator(features)
2025-11-03T16:35:55.1742731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:35:55.1743195Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:35:55.1743666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:35:55.1744157Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:35:55.1744343Z 
2025-11-03T16:35:55.1744449Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:55.1744870Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:35:55.1745271Z     pred_objectness_logits = [
2025-11-03T16:35:55.1745667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:35:55.1746104Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:35:55.1746245Z 
2025-11-03T16:35:55.1746351Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:55.1746824Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:35:55.1747224Z     pred_anchor_deltas = [
2025-11-03T16:35:55.1747612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:35:55.1748007Z     .flatten(1, -2)
2025-11-03T16:35:55.1748120Z 
2025-11-03T16:35:55.1748222Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:55.1748707Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:35:55.1749118Z     anchors = self.anchor_generator(features)
2025-11-03T16:35:55.1749508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:35:55.1750006Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:35:55.1750483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:35:55.1750953Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:35:55.1751160Z 
2025-11-03T16:35:58.9244497Z cudagraph partition due to non gpu ops
2025-11-03T16:35:58.9244825Z cudagraph partition due to non gpu ops
2025-11-03T16:35:58.9245066Z cudagraph partition due to non gpu ops
2025-11-03T16:35:58.9245312Z cudagraph partition due to non gpu ops
2025-11-03T16:35:58.9245588Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:58.9246126Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:35:58.9246666Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:35:58.9247216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:35:58.9247683Z     return torch.as_tensor(x, device=device)
2025-11-03T16:35:58.9247860Z 
2025-11-03T16:35:58.9247976Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:58.9248530Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:35:58.9249037Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:35:58.9249217Z 
2025-11-03T16:35:59.5570390Z cudagraph partition due to non gpu ops
2025-11-03T16:35:59.5571425Z cudagraph partition due to non gpu ops
2025-11-03T16:35:59.5571812Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:35:59.5572592Z    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
2025-11-03T16:35:59.5577021Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:35:59.5577475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:35:59.5577848Z     return torch.cat(tensors, dim)
2025-11-03T16:35:59.5578356Z 
2025-11-03T16:36:00.1416754Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:00.1417425Z    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
2025-11-03T16:36:00.1420102Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:36:00.1420519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:36:00.1421218Z     return roi_align(
2025-11-03T16:36:00.1421558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:36:00.1421953Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:36:00.1422105Z 
2025-11-03T16:36:00.1422223Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:00.1422693Z    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
2025-11-03T16:36:00.1423162Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:36:00.1423589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:36:00.1423951Z     return roi_align(
2025-11-03T16:36:00.1424326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:36:00.1424736Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:36:00.1424892Z 
2025-11-03T16:36:03.7851698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:03.7852996Z    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
2025-11-03T16:36:03.7854132Z     box_features = self.box_head(box_features)
2025-11-03T16:36:03.7854664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:36:03.7855078Z     x = layer(x)
2025-11-03T16:36:03.7855186Z 
2025-11-03T16:36:03.7855302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:03.7855813Z    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
2025-11-03T16:36:03.7856308Z     box_features = self.box_head(box_features)
2025-11-03T16:36:03.7856701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:36:03.7857087Z     x = layer(x)
2025-11-03T16:36:03.7857189Z 
2025-11-03T16:36:03.7857314Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:03.7857799Z    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
2025-11-03T16:36:03.7858273Z     box_features = self.box_head(box_features)
2025-11-03T16:36:03.7858666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:36:03.7859036Z     x = layer(x)
2025-11-03T16:36:03.7859135Z 
2025-11-03T16:36:03.7859240Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:03.7859717Z    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
2025-11-03T16:36:03.7860198Z     box_features = self.box_head(box_features)
2025-11-03T16:36:03.7860576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:36:03.7860939Z     x = layer(x)
2025-11-03T16:36:03.7861035Z 
2025-11-03T16:36:03.7861146Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:03.7861615Z    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
2025-11-03T16:36:03.7862554Z     predictions = self.box_predictor(box_features)
2025-11-03T16:36:03.7862951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:36:03.7863336Z     scores = self.cls_score(x)
2025-11-03T16:36:03.7863462Z 
2025-11-03T16:36:03.7863566Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:03.7864097Z    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
2025-11-03T16:36:03.7864569Z     predictions = self.box_predictor(box_features)
2025-11-03T16:36:03.7864957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:36:03.7865344Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:36:03.7865488Z 
2025-11-03T16:36:06.4985192Z cudagraph partition due to non gpu ops
2025-11-03T16:36:06.4985855Z cudagraph partition due to non gpu ops
2025-11-03T16:36:06.4986129Z cudagraph partition due to non gpu ops
2025-11-03T16:36:06.4986390Z cudagraph partition due to non gpu ops
2025-11-03T16:36:06.4986690Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:06.4987302Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:36:06.4987839Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:36:06.4988741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:36:06.4989317Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:36:06.4989824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:36:06.4990238Z     return torch.cat(tensors, dim)
2025-11-03T16:36:06.4990381Z 
2025-11-03T16:36:06.4990500Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:06.4990983Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:36:06.4991450Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:36:06.4991918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:36:06.4992386Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:36:06.4992857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:36:06.4993307Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:36:06.4993547Z 
2025-11-03T16:36:08.8738814Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:08.8739657Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:36:08.8740121Z     max_coordinate = boxes.max()
2025-11-03T16:36:08.8740261Z 
2025-11-03T16:36:08.8740388Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:08.8740848Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:36:08.8741288Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:36:08.8741458Z 
2025-11-03T16:36:09.6293215Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:09.6299073Z    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
2025-11-03T16:36:09.6300280Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:36:09.6300494Z 
2025-11-03T16:36:09.6300980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:09.6301575Z    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
2025-11-03T16:36:09.6302179Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:36:09.6302376Z 
2025-11-03T16:36:09.6302489Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:09.6303108Z    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
2025-11-03T16:36:09.6303688Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:36:09.6303881Z 
2025-11-03T16:36:14.2204645Z cudagraph partition due to non gpu ops
2025-11-03T16:36:14.2205178Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:14.2206410Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:36:14.2206989Z     output_boxes.clip(results.image_size)
2025-11-03T16:36:14.2207414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:36:14.2207911Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:36:14.2208170Z 
2025-11-03T16:36:14.2208308Z cudagraph partition due to non gpu ops
2025-11-03T16:36:14.2208543Z cudagraph partition due to non gpu ops
2025-11-03T16:36:14.2208815Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:14.2209780Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:36:14.2210282Z     output_boxes.clip(results.image_size)
2025-11-03T16:36:14.2210692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:36:14.2211153Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:36:14.2211334Z 
2025-11-03T16:36:14.2211453Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:36:14.2211953Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:36:14.2212442Z     results = results[output_boxes.nonempty()]
2025-11-03T16:36:14.2212855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:36:14.2213291Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:36:14.2213473Z 
2025-11-03T16:36:23.2317063Z Compilation time (from dynamo_timed): 50.172143869
2025-11-03T16:36:23.2317378Z pass
2025-11-03T16:36:23.2318247Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:36:23.2319168Z TIMING: gc:0.04814 entire_frame_compile:50.17214 _recursive_pre_grad_passes:0.03203 async_compile.wait:5.36178 backend_compile:28.82278 _recursive_joint_graph_passes:0.60413 _recursive_post_grad_passes:0.20206 code_gen:10.6071 inductor_compile:13.94074 total_wall_time:50.17214
2025-11-03T16:36:23.2320354Z 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
2025-11-03T16:36:23.2321079Z Dynamo produced 52 graphs covering 780 ops with 42 graph breaks (6 unique)
2025-11-03T16:36:26.5453987Z /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.
2025-11-03T16:36:26.5455441Z   import pynvml  # type: ignore[import]
2025-11-03T16:36:28.7825268Z 
2025-11-03T16:36:34.6665093Z loading model: 0it [00:00, ?it/s]W1103 16:36:34.665000 16110 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.
2025-11-03T16:36:35.9110663Z 
2025-11-03T16:36:35.9111749Z loading model: 0it [00:07, ?it/s]
2025-11-03T16:36:35.9130628Z cpu  eval  detectron2_fasterrcnn_r_101_fpn    
2025-11-03T16:36:55.0682515Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_101_fpn. Setting accuracy check to cosine
2025-11-03T16:36:55.0912832Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:37:02.8946743Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:37:10.1012862Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:37:20.5683262Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:20.5684131Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:37:20.5689235Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:37:20.5689754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:37:20.5690278Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:37:20.5691113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:37:20.5691513Z     return torch.as_tensor(x, device=device)
2025-11-03T16:37:20.5691670Z 
2025-11-03T16:37:20.5691788Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:20.5692218Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:37:20.5692642Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:37:20.5693043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:37:20.5693477Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:37:20.5693887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:37:20.5694270Z     return torch.as_tensor(x, device=device)
2025-11-03T16:37:20.5694406Z 
2025-11-03T16:37:20.5694521Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:20.5694931Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:37:20.5695338Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:37:20.5695758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:37:20.5696166Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:37:20.5696568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:37:20.5696947Z     return torch.as_tensor(x, device=device)
2025-11-03T16:37:20.5697086Z 
2025-11-03T16:37:20.5697190Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:20.5697599Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:37:20.5698040Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:37:20.5698443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:37:20.5698918Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:37:20.5699323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:37:20.5699705Z     return torch.as_tensor(x, device=device)
2025-11-03T16:37:20.5699842Z 
2025-11-03T16:37:20.5699953Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:20.5700351Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors
2025-11-03T16:37:20.5700808Z     max_size = torch.stack(image_sizes_tensor).max(0).values
2025-11-03T16:37:20.5700979Z 
2025-11-03T16:37:20.5701085Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:20.5701493Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 101, in from_tensors
2025-11-03T16:37:20.5701946Z     max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride
2025-11-03T16:37:20.5702145Z 
2025-11-03T16:37:21.6600841Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1545405Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1545903Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1550442Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1550783Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1551022Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1551285Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1551640Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1551882Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1552489Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1552706Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1553075Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1553295Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1553652Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1553970Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1554303Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1554618Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1554856Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1555071Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1555293Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1555516Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1555726Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1555927Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1556137Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1556349Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1556562Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1556778Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1557001Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1557246Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1557481Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1557700Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1558099Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1558333Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1558557Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1558784Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1559003Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1559305Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1559570Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1559791Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1560007Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.1560271Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1560843Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1561457Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1561913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1562336Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1562753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:37:41.1563156Z     x = self.stem(x)
2025-11-03T16:37:41.1563574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:37:41.1563973Z     x = self.conv1(x)
2025-11-03T16:37:41.1564331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1564703Z     x = F.conv2d(
2025-11-03T16:37:41.1564810Z 
2025-11-03T16:37:41.1564928Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1565439Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1565927Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1566339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1566745Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1567323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:37:41.1567728Z     x = self.stem(x)
2025-11-03T16:37:41.1568174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:37:41.1568571Z     x = F.relu_(x)
2025-11-03T16:37:41.1568673Z 
2025-11-03T16:37:41.1568796Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1569292Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1569779Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1570195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1570589Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1570967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:37:41.1571344Z     x = self.stem(x)
2025-11-03T16:37:41.1571699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:37:41.1572122Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:37:41.1572288Z 
2025-11-03T16:37:41.1572403Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1572874Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1573355Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1573736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1574122Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1574510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1574874Z     x = stage(x)
2025-11-03T16:37:41.1575222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1575600Z     out = self.conv1(x)
2025-11-03T16:37:41.1575937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1576281Z     x = F.conv2d(
2025-11-03T16:37:41.1576414Z 
2025-11-03T16:37:41.1576522Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1576998Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1577451Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1577834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1578238Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1578630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1579003Z     x = stage(x)
2025-11-03T16:37:41.1579342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1579720Z     out = F.relu_(out)
2025-11-03T16:37:41.1579828Z 
2025-11-03T16:37:41.1579935Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1580412Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1580869Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1581251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1581633Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1582014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1582421Z     x = stage(x)
2025-11-03T16:37:41.1582762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1583138Z     out = self.conv2(out)
2025-11-03T16:37:41.1583470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1583831Z     x = F.conv2d(
2025-11-03T16:37:41.1583928Z 
2025-11-03T16:37:41.1584031Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1584494Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1584939Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1585314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1585698Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1586085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1586452Z     x = stage(x)
2025-11-03T16:37:41.1586783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1587155Z     out = F.relu_(out)
2025-11-03T16:37:41.1587264Z 
2025-11-03T16:37:41.1587381Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1587845Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1588289Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1588663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1589044Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1589441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1589850Z     x = stage(x)
2025-11-03T16:37:41.1590191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1590610Z     out = self.conv3(out)
2025-11-03T16:37:41.1591007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1591374Z     x = F.conv2d(
2025-11-03T16:37:41.1591473Z 
2025-11-03T16:37:41.1591594Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1592092Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1592595Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1593003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1593411Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1593819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1594200Z     x = stage(x)
2025-11-03T16:37:41.1594556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:37:41.1594957Z     shortcut = self.shortcut(x)
2025-11-03T16:37:41.1595324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1595696Z     x = F.conv2d(
2025-11-03T16:37:41.1595798Z 
2025-11-03T16:37:41.1595913Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1596437Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1596979Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1597397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1598017Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1598462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1598866Z     x = stage(x)
2025-11-03T16:37:41.1599246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1599663Z     out = self.conv1(x)
2025-11-03T16:37:41.1600029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1600398Z     x = F.conv2d(
2025-11-03T16:37:41.1600505Z 
2025-11-03T16:37:41.1600617Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1601119Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1601598Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1601993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1602406Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1602808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1603194Z     x = stage(x)
2025-11-03T16:37:41.1603539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1603931Z     out = F.relu_(out)
2025-11-03T16:37:41.1604046Z 
2025-11-03T16:37:41.1604158Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1604660Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1605143Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1605541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1606022Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1606430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1606823Z     x = stage(x)
2025-11-03T16:37:41.1607180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1607568Z     out = self.conv2(out)
2025-11-03T16:37:41.1607947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1608314Z     x = F.conv2d(
2025-11-03T16:37:41.1608413Z 
2025-11-03T16:37:41.1608532Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1609020Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1609499Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1609902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1610305Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1610704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1611078Z     x = stage(x)
2025-11-03T16:37:41.1611433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1611822Z     out = F.relu_(out)
2025-11-03T16:37:41.1611931Z 
2025-11-03T16:37:41.1612087Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1612583Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1613059Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1613470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1613879Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1614293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1614692Z     x = stage(x)
2025-11-03T16:37:41.1615051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1615454Z     out = self.conv3(out)
2025-11-03T16:37:41.1615819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1616198Z     x = F.conv2d(
2025-11-03T16:37:41.1616297Z 
2025-11-03T16:37:41.1616411Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1616919Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1617402Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1617808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1618214Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1618616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1619005Z     x = stage(x)
2025-11-03T16:37:41.1619379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1619778Z     out = F.relu_(out)
2025-11-03T16:37:41.1619888Z 
2025-11-03T16:37:41.1620009Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1620503Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1621003Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1621400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1621804Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1622206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1622615Z     x = stage(x)
2025-11-03T16:37:41.1623144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1623578Z     out = self.conv1(x)
2025-11-03T16:37:41.1623931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1624294Z     x = F.conv2d(
2025-11-03T16:37:41.1624403Z 
2025-11-03T16:37:41.1624517Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1625017Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1625496Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1625897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1626297Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1626732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1627172Z     x = stage(x)
2025-11-03T16:37:41.1627530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1627919Z     out = F.relu_(out)
2025-11-03T16:37:41.1628034Z 
2025-11-03T16:37:41.1628144Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1628644Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1629118Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1629519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1629972Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1630358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1630723Z     x = stage(x)
2025-11-03T16:37:41.1631063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1631433Z     out = self.conv2(out)
2025-11-03T16:37:41.1631760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1632110Z     x = F.conv2d(
2025-11-03T16:37:41.1632202Z 
2025-11-03T16:37:41.1632316Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1632787Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1633228Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1633608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1633989Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1634370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1634736Z     x = stage(x)
2025-11-03T16:37:41.1635064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1635451Z     out = F.relu_(out)
2025-11-03T16:37:41.1635559Z 
2025-11-03T16:37:41.1635663Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1636131Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1636578Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1636949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1637399Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1637860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1638268Z     x = stage(x)
2025-11-03T16:37:41.1638626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1639033Z     out = self.conv3(out)
2025-11-03T16:37:41.1639400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1639748Z     x = F.conv2d(
2025-11-03T16:37:41.1639840Z 
2025-11-03T16:37:41.1639953Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1640414Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1640869Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1641247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1641665Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1642050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1642404Z     x = stage(x)
2025-11-03T16:37:41.1642740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1643106Z     out = F.relu_(out)
2025-11-03T16:37:41.1643206Z 
2025-11-03T16:37:41.1643318Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1643775Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1644228Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1644606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1644987Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1645363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1645717Z     x = stage(x)
2025-11-03T16:37:41.1646052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1646423Z     out = self.conv1(x)
2025-11-03T16:37:41.1646753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1647095Z     x = F.conv2d(
2025-11-03T16:37:41.1647188Z 
2025-11-03T16:37:41.1647294Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1647760Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1648213Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1648594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1648963Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1649344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1649734Z     x = stage(x)
2025-11-03T16:37:41.1650071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1650435Z     out = F.relu_(out)
2025-11-03T16:37:41.1650533Z 
2025-11-03T16:37:41.1650638Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1651109Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1651578Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1651988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1652366Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1652738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1653104Z     x = stage(x)
2025-11-03T16:37:41.1653438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1653799Z     out = self.conv2(out)
2025-11-03T16:37:41.1654121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1654458Z     x = F.conv2d(
2025-11-03T16:37:41.1654556Z 
2025-11-03T16:37:41.1654658Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1656037Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1656493Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1656854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1657225Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1657597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1657954Z     x = stage(x)
2025-11-03T16:37:41.1658282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1658637Z     out = F.relu_(out)
2025-11-03T16:37:41.1658744Z 
2025-11-03T16:37:41.1658847Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1659310Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1659752Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1660109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1660480Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1660856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1661219Z     x = stage(x)
2025-11-03T16:37:41.1661562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1661915Z     out = self.conv3(out)
2025-11-03T16:37:41.1662240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1662575Z     x = F.conv2d(
2025-11-03T16:37:41.1662665Z 
2025-11-03T16:37:41.1662774Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1663230Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1663664Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1664029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1664424Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1664794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1665143Z     x = stage(x)
2025-11-03T16:37:41.1665474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:37:41.1665863Z     shortcut = self.shortcut(x)
2025-11-03T16:37:41.1666202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1666542Z     x = F.conv2d(
2025-11-03T16:37:41.1666631Z 
2025-11-03T16:37:41.1666735Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1667389Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1667842Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1668219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1668594Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1668963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1669329Z     x = stage(x)
2025-11-03T16:37:41.1669668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1670148Z     out = self.conv1(x)
2025-11-03T16:37:41.1670459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1670791Z     x = F.conv2d(
2025-11-03T16:37:41.1670886Z 
2025-11-03T16:37:41.1670989Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1671444Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1671878Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1672228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1672591Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1672960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1673312Z     x = stage(x)
2025-11-03T16:37:41.1673637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1673981Z     out = F.relu_(out)
2025-11-03T16:37:41.1674085Z 
2025-11-03T16:37:41.1674185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1674644Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1675084Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1675445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1675821Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1676196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1676558Z     x = stage(x)
2025-11-03T16:37:41.1676891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1677249Z     out = self.conv2(out)
2025-11-03T16:37:41.1677578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1678077Z     x = F.conv2d(
2025-11-03T16:37:41.1678180Z 
2025-11-03T16:37:41.1678302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1678838Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1679313Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1679718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1680137Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1680525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1680883Z     x = stage(x)
2025-11-03T16:37:41.1681219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1681590Z     out = F.relu_(out)
2025-11-03T16:37:41.1681692Z 
2025-11-03T16:37:41.1681805Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1682273Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1682718Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1683099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1683480Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1683896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1684259Z     x = stage(x)
2025-11-03T16:37:41.1684584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1684953Z     out = self.conv3(out)
2025-11-03T16:37:41.1685288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1685630Z     x = F.conv2d(
2025-11-03T16:37:41.1685720Z 
2025-11-03T16:37:41.1685825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1686290Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1686738Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1687112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1687491Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1687863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1688227Z     x = stage(x)
2025-11-03T16:37:41.1688562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1688933Z     out = F.relu_(out)
2025-11-03T16:37:41.1689033Z 
2025-11-03T16:37:41.1689145Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1689606Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1690054Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1690432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1690812Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1691185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1691552Z     x = stage(x)
2025-11-03T16:37:41.1691887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1692283Z     out = self.conv1(x)
2025-11-03T16:37:41.1692617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1692960Z     x = F.conv2d(
2025-11-03T16:37:41.1693060Z 
2025-11-03T16:37:41.1693164Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1693636Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1694114Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1694500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1694870Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1695253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1695642Z     x = stage(x)
2025-11-03T16:37:41.1695981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1696342Z     out = F.relu_(out)
2025-11-03T16:37:41.1696450Z 
2025-11-03T16:37:41.1696555Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1697025Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1697479Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1697899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1698276Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1698658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1699025Z     x = stage(x)
2025-11-03T16:37:41.1699357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1699729Z     out = self.conv2(out)
2025-11-03T16:37:41.1700056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1700402Z     x = F.conv2d(
2025-11-03T16:37:41.1700491Z 
2025-11-03T16:37:41.1700606Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1701075Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1701522Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1701883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1702242Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1702610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1702957Z     x = stage(x)
2025-11-03T16:37:41.1703268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1703617Z     out = F.relu_(out)
2025-11-03T16:37:41.1703718Z 
2025-11-03T16:37:41.1703819Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1704266Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1704691Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1705042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1705401Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1705786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1706132Z     x = stage(x)
2025-11-03T16:37:41.1706443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1706795Z     out = self.conv3(out)
2025-11-03T16:37:41.1707116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1707461Z     x = F.conv2d(
2025-11-03T16:37:41.1707549Z 
2025-11-03T16:37:41.1707655Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1708096Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1708526Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1708883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1709242Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1709603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1709944Z     x = stage(x)
2025-11-03T16:37:41.1710263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1710614Z     out = F.relu_(out)
2025-11-03T16:37:41.1710710Z 
2025-11-03T16:37:41.1710817Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1711311Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1711742Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1712101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1712468Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1712832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1713173Z     x = stage(x)
2025-11-03T16:37:41.1713501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1713864Z     out = self.conv1(x)
2025-11-03T16:37:41.1714190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1714532Z     x = F.conv2d(
2025-11-03T16:37:41.1714621Z 
2025-11-03T16:37:41.1714727Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1715187Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1715630Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1715999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1716362Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1716740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1717098Z     x = stage(x)
2025-11-03T16:37:41.1717426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1717877Z     out = F.relu_(out)
2025-11-03T16:37:41.1717994Z 
2025-11-03T16:37:41.1718111Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1718615Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1719097Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1719580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1719948Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1720311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1720670Z     x = stage(x)
2025-11-03T16:37:41.1720995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1721377Z     out = self.conv2(out)
2025-11-03T16:37:41.1721697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1722035Z     x = F.conv2d(
2025-11-03T16:37:41.1722129Z 
2025-11-03T16:37:41.1722231Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1722685Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1723425Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1723784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1724152Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1724523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1724883Z     x = stage(x)
2025-11-03T16:37:41.1725254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1725613Z     out = F.relu_(out)
2025-11-03T16:37:41.1725719Z 
2025-11-03T16:37:41.1725823Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1726282Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1726725Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1727089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1727452Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1727821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1728176Z     x = stage(x)
2025-11-03T16:37:41.1728501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1728855Z     out = self.conv3(out)
2025-11-03T16:37:41.1729183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1729521Z     x = F.conv2d(
2025-11-03T16:37:41.1729609Z 
2025-11-03T16:37:41.1729723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1730180Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1730610Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1730976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1731356Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1731717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1732063Z     x = stage(x)
2025-11-03T16:37:41.1732374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1732723Z     out = F.relu_(out)
2025-11-03T16:37:41.1732817Z 
2025-11-03T16:37:41.1732925Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1733404Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1733837Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1734204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1734572Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1734957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1735300Z     x = stage(x)
2025-11-03T16:37:41.1735610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1735960Z     out = self.conv1(x)
2025-11-03T16:37:41.1736269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1736596Z     x = F.conv2d(
2025-11-03T16:37:41.1736682Z 
2025-11-03T16:37:41.1736781Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1737219Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1737645Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1738002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1738363Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1738753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1739106Z     x = stage(x)
2025-11-03T16:37:41.1739428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1739786Z     out = F.relu_(out)
2025-11-03T16:37:41.1739883Z 
2025-11-03T16:37:41.1739992Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1740441Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1740874Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1741241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1741619Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1741997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1742349Z     x = stage(x)
2025-11-03T16:37:41.1742678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1743043Z     out = self.conv2(out)
2025-11-03T16:37:41.1743373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1743705Z     x = F.conv2d(
2025-11-03T16:37:41.1743805Z 
2025-11-03T16:37:41.1743907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1744367Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1744811Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1745186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1745544Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1745909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1746266Z     x = stage(x)
2025-11-03T16:37:41.1746623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1746978Z     out = F.relu_(out)
2025-11-03T16:37:41.1747083Z 
2025-11-03T16:37:41.1747186Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1747646Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1748090Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1748474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1748833Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1749199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1749555Z     x = stage(x)
2025-11-03T16:37:41.1749880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1750238Z     out = self.conv3(out)
2025-11-03T16:37:41.1750554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1750887Z     x = F.conv2d(
2025-11-03T16:37:41.1750982Z 
2025-11-03T16:37:41.1751083Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1751535Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1751973Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1752366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1752735Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1753104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1753460Z     x = stage(x)
2025-11-03T16:37:41.1753775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:37:41.1754143Z     shortcut = self.shortcut(x)
2025-11-03T16:37:41.1754476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1754815Z     x = F.conv2d(
2025-11-03T16:37:41.1754905Z 
2025-11-03T16:37:41.1755014Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1755464Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1755900Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1756266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1756639Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1757010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1757357Z     x = stage(x)
2025-11-03T16:37:41.1757704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1758187Z     out = self.conv1(x)
2025-11-03T16:37:41.1758542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1758914Z     x = F.conv2d(
2025-11-03T16:37:41.1759014Z 
2025-11-03T16:37:41.1759122Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1759585Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1760032Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1760436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1760801Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1761178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1761551Z     x = stage(x)
2025-11-03T16:37:41.1761880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1762268Z     out = F.relu_(out)
2025-11-03T16:37:41.1762373Z 
2025-11-03T16:37:41.1762477Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1762939Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1763377Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1763745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1764107Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1764481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1764837Z     x = stage(x)
2025-11-03T16:37:41.1765164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1765528Z     out = self.conv2(out)
2025-11-03T16:37:41.1765847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1766223Z     x = F.conv2d(
2025-11-03T16:37:41.1766322Z 
2025-11-03T16:37:41.1766424Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1767054Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1767510Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1767873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1768245Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1768618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1768978Z     x = stage(x)
2025-11-03T16:37:41.1769301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1769666Z     out = F.relu_(out)
2025-11-03T16:37:41.1769772Z 
2025-11-03T16:37:41.1769876Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1770333Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1770776Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1771136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1771506Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1771882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1772230Z     x = stage(x)
2025-11-03T16:37:41.1772541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1772896Z     out = self.conv3(out)
2025-11-03T16:37:41.1773221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1773551Z     x = F.conv2d(
2025-11-03T16:37:41.1773637Z 
2025-11-03T16:37:41.1773745Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1774319Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1774757Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1775125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1775497Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1775895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1776235Z     x = stage(x)
2025-11-03T16:37:41.1776551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1776903Z     out = F.relu_(out)
2025-11-03T16:37:41.1777000Z 
2025-11-03T16:37:41.1777109Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1777547Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1777975Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1778332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1778692Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1779048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1779388Z     x = stage(x)
2025-11-03T16:37:41.1779765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1780125Z     out = self.conv1(x)
2025-11-03T16:37:41.1780440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1780772Z     x = F.conv2d(
2025-11-03T16:37:41.1780861Z 
2025-11-03T16:37:41.1780963Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1781411Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1781842Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1782204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1782572Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1782931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1783284Z     x = stage(x)
2025-11-03T16:37:41.1783609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1783962Z     out = F.relu_(out)
2025-11-03T16:37:41.1784060Z 
2025-11-03T16:37:41.1784159Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1784606Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1785041Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1785397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1785765Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1786120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1786472Z     x = stage(x)
2025-11-03T16:37:41.1786792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1787149Z     out = self.conv2(out)
2025-11-03T16:37:41.1787486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1787814Z     x = F.conv2d(
2025-11-03T16:37:41.1787908Z 
2025-11-03T16:37:41.1788009Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1788456Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1788890Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1789267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1789647Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1790008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1790365Z     x = stage(x)
2025-11-03T16:37:41.1790691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1791047Z     out = F.relu_(out)
2025-11-03T16:37:41.1791153Z 
2025-11-03T16:37:41.1791257Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1791712Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1792153Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1792520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1792882Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1793287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1793650Z     x = stage(x)
2025-11-03T16:37:41.1793975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1794332Z     out = self.conv3(out)
2025-11-03T16:37:41.1794659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1795000Z     x = F.conv2d(
2025-11-03T16:37:41.1795090Z 
2025-11-03T16:37:41.1795200Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1795660Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1796097Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1796468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1796838Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1797211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1797563Z     x = stage(x)
2025-11-03T16:37:41.1797966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1798338Z     out = F.relu_(out)
2025-11-03T16:37:41.1798446Z 
2025-11-03T16:37:41.1798570Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1799088Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1799581Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1799992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1800390Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1800765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1801152Z     x = stage(x)
2025-11-03T16:37:41.1801470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1801838Z     out = self.conv1(x)
2025-11-03T16:37:41.1802164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1802514Z     x = F.conv2d(
2025-11-03T16:37:41.1802602Z 
2025-11-03T16:37:41.1802704Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1803187Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1803628Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1804003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1804381Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1804751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1805112Z     x = stage(x)
2025-11-03T16:37:41.1805444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1805808Z     out = F.relu_(out)
2025-11-03T16:37:41.1805909Z 
2025-11-03T16:37:41.1806021Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1806479Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1806963Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1807336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1807704Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1808076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1808421Z     x = stage(x)
2025-11-03T16:37:41.1808747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1809114Z     out = self.conv2(out)
2025-11-03T16:37:41.1809446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1809780Z     x = F.conv2d(
2025-11-03T16:37:41.1809876Z 
2025-11-03T16:37:41.1809976Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1810423Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1810851Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1811205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1811554Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1811913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1812257Z     x = stage(x)
2025-11-03T16:37:41.1812572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1812915Z     out = F.relu_(out)
2025-11-03T16:37:41.1813017Z 
2025-11-03T16:37:41.1813116Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1813564Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1813988Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1814343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1814735Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1815098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1815448Z     x = stage(x)
2025-11-03T16:37:41.1815767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1816123Z     out = self.conv3(out)
2025-11-03T16:37:41.1816463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1816798Z     x = F.conv2d(
2025-11-03T16:37:41.1816894Z 
2025-11-03T16:37:41.1817001Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1817448Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1817879Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1818238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1818599Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1818965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1819315Z     x = stage(x)
2025-11-03T16:37:41.1819629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1819985Z     out = F.relu_(out)
2025-11-03T16:37:41.1820093Z 
2025-11-03T16:37:41.1820236Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1820688Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1821115Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1821468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1821831Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1822196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1822543Z     x = stage(x)
2025-11-03T16:37:41.1822854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1823211Z     out = self.conv1(x)
2025-11-03T16:37:41.1823528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1823864Z     x = F.conv2d(
2025-11-03T16:37:41.1823951Z 
2025-11-03T16:37:41.1824059Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1824495Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1824930Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1825289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1825724Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1826087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1826430Z     x = stage(x)
2025-11-03T16:37:41.1826751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1827105Z     out = F.relu_(out)
2025-11-03T16:37:41.1827200Z 
2025-11-03T16:37:41.1827320Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1827756Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1828206Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1828567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1828931Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1829297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1829655Z     x = stage(x)
2025-11-03T16:37:41.1829970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1830326Z     out = self.conv2(out)
2025-11-03T16:37:41.1830644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1830969Z     x = F.conv2d(
2025-11-03T16:37:41.1831057Z 
2025-11-03T16:37:41.1831156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1831601Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1832026Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1832383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1832746Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1833109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1833467Z     x = stage(x)
2025-11-03T16:37:41.1833830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1834185Z     out = F.relu_(out)
2025-11-03T16:37:41.1834282Z 
2025-11-03T16:37:41.1834384Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1834843Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1835279Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1835653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1836029Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1836401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1836763Z     x = stage(x)
2025-11-03T16:37:41.1837099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1837470Z     out = self.conv3(out)
2025-11-03T16:37:41.1837893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1838296Z     x = F.conv2d(
2025-11-03T16:37:41.1838405Z 
2025-11-03T16:37:41.1838520Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1839041Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1839529Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1839897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1840283Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1840668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1841040Z     x = stage(x)
2025-11-03T16:37:41.1841375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1841738Z     out = F.relu_(out)
2025-11-03T16:37:41.1841868Z 
2025-11-03T16:37:41.1841974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1842445Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1842899Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1843269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1843647Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1844019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1844373Z     x = stage(x)
2025-11-03T16:37:41.1844707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1845070Z     out = self.conv1(x)
2025-11-03T16:37:41.1845400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1845742Z     x = F.conv2d(
2025-11-03T16:37:41.1845833Z 
2025-11-03T16:37:41.1845947Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1846421Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1846848Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1847217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1847623Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1847996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1848356Z     x = stage(x)
2025-11-03T16:37:41.1848672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1849030Z     out = F.relu_(out)
2025-11-03T16:37:41.1849128Z 
2025-11-03T16:37:41.1849240Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1849694Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1850128Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1850499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1850869Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1851240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1851595Z     x = stage(x)
2025-11-03T16:37:41.1851912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1852277Z     out = self.conv2(out)
2025-11-03T16:37:41.1852600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1852933Z     x = F.conv2d(
2025-11-03T16:37:41.1853021Z 
2025-11-03T16:37:41.1853122Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1853576Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1854012Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1854380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1854748Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1855111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1855479Z     x = stage(x)
2025-11-03T16:37:41.1855802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1856158Z     out = F.relu_(out)
2025-11-03T16:37:41.1856257Z 
2025-11-03T16:37:41.1856369Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1856818Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1857296Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1857665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1858034Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1858407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1858755Z     x = stage(x)
2025-11-03T16:37:41.1859086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1859435Z     out = self.conv3(out)
2025-11-03T16:37:41.1859758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1860084Z     x = F.conv2d(
2025-11-03T16:37:41.1860191Z 
2025-11-03T16:37:41.1860289Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1860735Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1861202Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1861558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1861909Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1862273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1862615Z     x = stage(x)
2025-11-03T16:37:41.1862929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1863266Z     out = F.relu_(out)
2025-11-03T16:37:41.1863367Z 
2025-11-03T16:37:41.1863466Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1863908Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1864334Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1864690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1865038Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1865396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1865738Z     x = stage(x)
2025-11-03T16:37:41.1866052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1866399Z     out = self.conv1(x)
2025-11-03T16:37:41.1866698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1867149Z     x = F.conv2d(
2025-11-03T16:37:41.1867245Z 
2025-11-03T16:37:41.1867344Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1867794Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1868222Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1868572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1868986Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1869348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1869691Z     x = stage(x)
2025-11-03T16:37:41.1869998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1870348Z     out = F.relu_(out)
2025-11-03T16:37:41.1870488Z 
2025-11-03T16:37:41.1870590Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1871041Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1871475Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1871830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1872196Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1872559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1872911Z     x = stage(x)
2025-11-03T16:37:41.1873227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1873593Z     out = self.conv2(out)
2025-11-03T16:37:41.1873921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1874259Z     x = F.conv2d(
2025-11-03T16:37:41.1874349Z 
2025-11-03T16:37:41.1874507Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1874940Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1875367Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1875719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1876078Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1876430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1876767Z     x = stage(x)
2025-11-03T16:37:41.1877078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1877424Z     out = F.relu_(out)
2025-11-03T16:37:41.1877519Z 
2025-11-03T16:37:41.1877633Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1878135Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1878634Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1879053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1879461Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1879842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1880204Z     x = stage(x)
2025-11-03T16:37:41.1880535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1880905Z     out = self.conv3(out)
2025-11-03T16:37:41.1881247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1881626Z     x = F.conv2d(
2025-11-03T16:37:41.1881725Z 
2025-11-03T16:37:41.1881839Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1882354Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1882882Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1883295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1883719Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1884132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1884553Z     x = stage(x)
2025-11-03T16:37:41.1884924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1885335Z     out = F.relu_(out)
2025-11-03T16:37:41.1885445Z 
2025-11-03T16:37:41.1885558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1886069Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1886570Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1886981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1887399Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1887815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1888221Z     x = stage(x)
2025-11-03T16:37:41.1888553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1888942Z     out = self.conv1(x)
2025-11-03T16:37:41.1889250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1889578Z     x = F.conv2d(
2025-11-03T16:37:41.1889671Z 
2025-11-03T16:37:41.1889772Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1890221Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1890653Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1891002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1891369Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1891735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1892087Z     x = stage(x)
2025-11-03T16:37:41.1892407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1892750Z     out = F.relu_(out)
2025-11-03T16:37:41.1892853Z 
2025-11-03T16:37:41.1892954Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1893400Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1893832Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1894209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1894564Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1894929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1895277Z     x = stage(x)
2025-11-03T16:37:41.1895595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1895941Z     out = self.conv2(out)
2025-11-03T16:37:41.1896260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1896605Z     x = F.conv2d(
2025-11-03T16:37:41.1896690Z 
2025-11-03T16:37:41.1896798Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1897242Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1897661Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1898016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1898396Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1898753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1899094Z     x = stage(x)
2025-11-03T16:37:41.1899400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1899755Z     out = F.relu_(out)
2025-11-03T16:37:41.1899851Z 
2025-11-03T16:37:41.1899962Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1900409Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1900834Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1901197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1901563Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1901966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1902323Z     x = stage(x)
2025-11-03T16:37:41.1902642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1903003Z     out = self.conv3(out)
2025-11-03T16:37:41.1903328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1903665Z     x = F.conv2d(
2025-11-03T16:37:41.1903753Z 
2025-11-03T16:37:41.1903856Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1904314Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1904754Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1905125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1905501Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1905863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1906217Z     x = stage(x)
2025-11-03T16:37:41.1906543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1906907Z     out = F.relu_(out)
2025-11-03T16:37:41.1907004Z 
2025-11-03T16:37:41.1907113Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1907563Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1908009Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1908382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1908759Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1909131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1909482Z     x = stage(x)
2025-11-03T16:37:41.1909809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1910193Z     out = self.conv1(x)
2025-11-03T16:37:41.1910512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1910836Z     x = F.conv2d(
2025-11-03T16:37:41.1910933Z 
2025-11-03T16:37:41.1911036Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1911491Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1911949Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1912317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1912680Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1913048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1913405Z     x = stage(x)
2025-11-03T16:37:41.1913728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1914080Z     out = F.relu_(out)
2025-11-03T16:37:41.1914186Z 
2025-11-03T16:37:41.1914286Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1914741Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1915182Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1915602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1915967Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1916338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1916695Z     x = stage(x)
2025-11-03T16:37:41.1917027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1917399Z     out = self.conv2(out)
2025-11-03T16:37:41.1917723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1918154Z     x = F.conv2d(
2025-11-03T16:37:41.1918261Z 
2025-11-03T16:37:41.1918376Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1918873Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1919363Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1919731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1920118Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1920493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1920860Z     x = stage(x)
2025-11-03T16:37:41.1921186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1921553Z     out = F.relu_(out)
2025-11-03T16:37:41.1921664Z 
2025-11-03T16:37:41.1921771Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1922240Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1922692Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1923065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1923446Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1923853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1924224Z     x = stage(x)
2025-11-03T16:37:41.1924550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1924929Z     out = self.conv3(out)
2025-11-03T16:37:41.1925297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1925663Z     x = F.conv2d(
2025-11-03T16:37:41.1925667Z 
2025-11-03T16:37:41.1925771Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1926085Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1926167Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1926412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1926494Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1926733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1926801Z     x = stage(x)
2025-11-03T16:37:41.1927041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1927114Z     out = F.relu_(out)
2025-11-03T16:37:41.1927117Z 
2025-11-03T16:37:41.1927220Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1927556Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1927646Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1927880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1927969Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1928208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1928276Z     x = stage(x)
2025-11-03T16:37:41.1928514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1928579Z     out = self.conv1(x)
2025-11-03T16:37:41.1928807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1928869Z     x = F.conv2d(
2025-11-03T16:37:41.1928872Z 
2025-11-03T16:37:41.1928986Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1929287Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1929370Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1929615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1929695Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1929944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1930003Z     x = stage(x)
2025-11-03T16:37:41.1930242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1930315Z     out = F.relu_(out)
2025-11-03T16:37:41.1930319Z 
2025-11-03T16:37:41.1930425Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1930736Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1930818Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1931077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1931157Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1931395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1931463Z     x = stage(x)
2025-11-03T16:37:41.1931703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1931797Z     out = self.conv2(out)
2025-11-03T16:37:41.1932021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1932081Z     x = F.conv2d(
2025-11-03T16:37:41.1932085Z 
2025-11-03T16:37:41.1932193Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1932499Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1932588Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1932824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1932909Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1933149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1933210Z     x = stage(x)
2025-11-03T16:37:41.1933483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1933546Z     out = F.relu_(out)
2025-11-03T16:37:41.1933550Z 
2025-11-03T16:37:41.1933659Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1933973Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1934051Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1934287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1934365Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1934605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1934663Z     x = stage(x)
2025-11-03T16:37:41.1934906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1934974Z     out = self.conv3(out)
2025-11-03T16:37:41.1935189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1935254Z     x = F.conv2d(
2025-11-03T16:37:41.1935257Z 
2025-11-03T16:37:41.1935357Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1935664Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1935740Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1935963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1936046Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1936277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1936341Z     x = stage(x)
2025-11-03T16:37:41.1936571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1936631Z     out = F.relu_(out)
2025-11-03T16:37:41.1936641Z 
2025-11-03T16:37:41.1936738Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1937041Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1937126Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1937346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1937429Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1937676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1937734Z     x = stage(x)
2025-11-03T16:37:41.1937971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1938036Z     out = self.conv1(x)
2025-11-03T16:37:41.1938252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1938311Z     x = F.conv2d(
2025-11-03T16:37:41.1938314Z 
2025-11-03T16:37:41.1938414Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1938709Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1938786Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1939018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1939096Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1939363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1939421Z     x = stage(x)
2025-11-03T16:37:41.1939649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1939719Z     out = F.relu_(out)
2025-11-03T16:37:41.1939722Z 
2025-11-03T16:37:41.1939819Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1940112Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1940191Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1940414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1940497Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1940729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1940792Z     x = stage(x)
2025-11-03T16:37:41.1941018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1941090Z     out = self.conv2(out)
2025-11-03T16:37:41.1941298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1941354Z     x = F.conv2d(
2025-11-03T16:37:41.1941357Z 
2025-11-03T16:37:41.1941462Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1941752Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1941838Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1942062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1942140Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1942374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1942431Z     x = stage(x)
2025-11-03T16:37:41.1942686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1942745Z     out = F.relu_(out)
2025-11-03T16:37:41.1942749Z 
2025-11-03T16:37:41.1942844Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1943135Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1943211Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1943470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1943546Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1943779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1943834Z     x = stage(x)
2025-11-03T16:37:41.1944059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1944132Z     out = self.conv3(out)
2025-11-03T16:37:41.1944339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1944404Z     x = F.conv2d(
2025-11-03T16:37:41.1944407Z 
2025-11-03T16:37:41.1944503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1944793Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1944879Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1945134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1945217Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1945448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1945512Z     x = stage(x)
2025-11-03T16:37:41.1945747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1945806Z     out = F.relu_(out)
2025-11-03T16:37:41.1945809Z 
2025-11-03T16:37:41.1945914Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1946202Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1946287Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1946513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1946589Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1946824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1946881Z     x = stage(x)
2025-11-03T16:37:41.1947121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1947182Z     out = self.conv1(x)
2025-11-03T16:37:41.1947406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1947462Z     x = F.conv2d(
2025-11-03T16:37:41.1947465Z 
2025-11-03T16:37:41.1947562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1947868Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1947943Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1948176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1948268Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1948494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1948556Z     x = stage(x)
2025-11-03T16:37:41.1948780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1948848Z     out = F.relu_(out)
2025-11-03T16:37:41.1948852Z 
2025-11-03T16:37:41.1948947Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1949259Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1949337Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1949556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1949638Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1949863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1949925Z     x = stage(x)
2025-11-03T16:37:41.1950151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1950213Z     out = self.conv2(out)
2025-11-03T16:37:41.1950425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1950482Z     x = F.conv2d(
2025-11-03T16:37:41.1950485Z 
2025-11-03T16:37:41.1950588Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1950975Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1951056Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1951289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1951364Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1951600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1951658Z     x = stage(x)
2025-11-03T16:37:41.1951893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1951956Z     out = F.relu_(out)
2025-11-03T16:37:41.1951959Z 
2025-11-03T16:37:41.1952056Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1952355Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1952431Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1952667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1952743Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1952976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1953041Z     x = stage(x)
2025-11-03T16:37:41.1953270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1953341Z     out = self.conv3(out)
2025-11-03T16:37:41.1953554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1953621Z     x = F.conv2d(
2025-11-03T16:37:41.1953627Z 
2025-11-03T16:37:41.1953726Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1954028Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1954146Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1954367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1954451Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1954679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1954734Z     x = stage(x)
2025-11-03T16:37:41.1954984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1955063Z     out = F.relu_(out)
2025-11-03T16:37:41.1955065Z 
2025-11-03T16:37:41.1955172Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1955470Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1955558Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1955787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1955873Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1956108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1956164Z     x = stage(x)
2025-11-03T16:37:41.1956398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1956461Z     out = self.conv1(x)
2025-11-03T16:37:41.1956718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1956785Z     x = F.conv2d(
2025-11-03T16:37:41.1956788Z 
2025-11-03T16:37:41.1956885Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1957180Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1957258Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1957478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1957560Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1957852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1957929Z     x = stage(x)
2025-11-03T16:37:41.1958157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1958232Z     out = F.relu_(out)
2025-11-03T16:37:41.1958235Z 
2025-11-03T16:37:41.1958344Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1958665Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1958762Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1959007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1959095Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1959332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1959393Z     x = stage(x)
2025-11-03T16:37:41.1959642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1959708Z     out = self.conv2(out)
2025-11-03T16:37:41.1959934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1959997Z     x = F.conv2d(
2025-11-03T16:37:41.1960018Z 
2025-11-03T16:37:41.1960130Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1960433Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1960514Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1960756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1960863Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1961101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1961160Z     x = stage(x)
2025-11-03T16:37:41.1961392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1961462Z     out = F.relu_(out)
2025-11-03T16:37:41.1961465Z 
2025-11-03T16:37:41.1961567Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1961875Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1961953Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1962191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1962268Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1962507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1962573Z     x = stage(x)
2025-11-03T16:37:41.1962844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1962920Z     out = self.conv3(out)
2025-11-03T16:37:41.1963140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1963201Z     x = F.conv2d(
2025-11-03T16:37:41.1963204Z 
2025-11-03T16:37:41.1963315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1963619Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1963706Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1963941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1964027Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1964269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1964327Z     x = stage(x)
2025-11-03T16:37:41.1964574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1964639Z     out = F.relu_(out)
2025-11-03T16:37:41.1964643Z 
2025-11-03T16:37:41.1964753Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1965057Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1965137Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1965381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1965462Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1965715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1965778Z     x = stage(x)
2025-11-03T16:37:41.1966017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1966121Z     out = self.conv1(x)
2025-11-03T16:37:41.1966339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1966406Z     x = F.conv2d(
2025-11-03T16:37:41.1966409Z 
2025-11-03T16:37:41.1966512Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1966819Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1967093Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1967341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1967431Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1967674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1967743Z     x = stage(x)
2025-11-03T16:37:41.1967986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1968051Z     out = F.relu_(out)
2025-11-03T16:37:41.1968055Z 
2025-11-03T16:37:41.1968165Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1968474Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1968567Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1968804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1968968Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1969209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1969269Z     x = stage(x)
2025-11-03T16:37:41.1969519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1969585Z     out = self.conv2(out)
2025-11-03T16:37:41.1969810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1969869Z     x = F.conv2d(
2025-11-03T16:37:41.1969872Z 
2025-11-03T16:37:41.1969973Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1970285Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1970368Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1970611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1970690Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1970935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1970998Z     x = stage(x)
2025-11-03T16:37:41.1971236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1971309Z     out = F.relu_(out)
2025-11-03T16:37:41.1971312Z 
2025-11-03T16:37:41.1971413Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1971727Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1971810Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1972044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1972132Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1972376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1972493Z     x = stage(x)
2025-11-03T16:37:41.1972718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1972781Z     out = self.conv3(out)
2025-11-03T16:37:41.1972993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1973049Z     x = F.conv2d(
2025-11-03T16:37:41.1973080Z 
2025-11-03T16:37:41.1973185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1973474Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1973556Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1973779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1973856Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1974089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1974145Z     x = stage(x)
2025-11-03T16:37:41.1974378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1974438Z     out = F.relu_(out)
2025-11-03T16:37:41.1974441Z 
2025-11-03T16:37:41.1974539Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1974858Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1974935Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1975163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1975236Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1975469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1975524Z     x = stage(x)
2025-11-03T16:37:41.1975748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1975815Z     out = self.conv1(x)
2025-11-03T16:37:41.1976021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1976087Z     x = F.conv2d(
2025-11-03T16:37:41.1976090Z 
2025-11-03T16:37:41.1976185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1976470Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1976552Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1976773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1976852Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1977081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1977144Z     x = stage(x)
2025-11-03T16:37:41.1977369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1977429Z     out = F.relu_(out)
2025-11-03T16:37:41.1977432Z 
2025-11-03T16:37:41.1977535Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1977818Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1977901Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1978120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1978215Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1978450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1978506Z     x = stage(x)
2025-11-03T16:37:41.1978740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1978821Z     out = self.conv2(out)
2025-11-03T16:37:41.1979028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1979094Z     x = F.conv2d(
2025-11-03T16:37:41.1979098Z 
2025-11-03T16:37:41.1979195Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1979491Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1979570Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1979796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1979870Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1980099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1980163Z     x = stage(x)
2025-11-03T16:37:41.1980391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1980459Z     out = F.relu_(out)
2025-11-03T16:37:41.1980496Z 
2025-11-03T16:37:41.1980594Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1980881Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1980967Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1981185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1981271Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1981495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1981560Z     x = stage(x)
2025-11-03T16:37:41.1981786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1981849Z     out = self.conv3(out)
2025-11-03T16:37:41.1982064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1982121Z     x = F.conv2d(
2025-11-03T16:37:41.1982125Z 
2025-11-03T16:37:41.1982229Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1982519Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1982597Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1982826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1982900Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1983131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1983189Z     x = stage(x)
2025-11-03T16:37:41.1983423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1983484Z     out = F.relu_(out)
2025-11-03T16:37:41.1983487Z 
2025-11-03T16:37:41.1983582Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1983875Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1983968Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1984197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1984272Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1984498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1984581Z     x = stage(x)
2025-11-03T16:37:41.1984810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1984879Z     out = self.conv1(x)
2025-11-03T16:37:41.1985084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1985140Z     x = F.conv2d(
2025-11-03T16:37:41.1985152Z 
2025-11-03T16:37:41.1985248Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1985577Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1985662Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1985881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1985964Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1986192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1986297Z     x = stage(x)
2025-11-03T16:37:41.1986539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1986599Z     out = F.relu_(out)
2025-11-03T16:37:41.1986602Z 
2025-11-03T16:37:41.1986707Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1986995Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1987070Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1987300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1987374Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1987609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1987668Z     x = stage(x)
2025-11-03T16:37:41.1987902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1987965Z     out = self.conv2(out)
2025-11-03T16:37:41.1988173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1988239Z     x = F.conv2d(
2025-11-03T16:37:41.1988242Z 
2025-11-03T16:37:41.1988338Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1988630Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1988706Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1988928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1989011Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1989241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1989303Z     x = stage(x)
2025-11-03T16:37:41.1989531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1989616Z     out = F.relu_(out)
2025-11-03T16:37:41.1989619Z 
2025-11-03T16:37:41.1989714Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1989996Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1990082Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1990302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1990416Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1990646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1990703Z     x = stage(x)
2025-11-03T16:37:41.1990936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.1991000Z     out = self.conv3(out)
2025-11-03T16:37:41.1991215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1991271Z     x = F.conv2d(
2025-11-03T16:37:41.1991274Z 
2025-11-03T16:37:41.1991369Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1991667Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1991746Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1992005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1992082Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1992376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1992435Z     x = stage(x)
2025-11-03T16:37:41.1992671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.1992741Z     out = F.relu_(out)
2025-11-03T16:37:41.1992744Z 
2025-11-03T16:37:41.1992843Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1993152Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1993229Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1993453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1993536Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1993765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1993830Z     x = stage(x)
2025-11-03T16:37:41.1994057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.1994127Z     out = self.conv1(x)
2025-11-03T16:37:41.1994340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1994399Z     x = F.conv2d(
2025-11-03T16:37:41.1994402Z 
2025-11-03T16:37:41.1994509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1994808Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1994897Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1995124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1995201Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1995442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1995525Z     x = stage(x)
2025-11-03T16:37:41.1995771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.1995833Z     out = F.relu_(out)
2025-11-03T16:37:41.1995836Z 
2025-11-03T16:37:41.1995944Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1996247Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1996351Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1996588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1996665Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1996906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1996965Z     x = stage(x)
2025-11-03T16:37:41.1997195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.1997267Z     out = self.conv2(out)
2025-11-03T16:37:41.1997476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.1997540Z     x = F.conv2d(
2025-11-03T16:37:41.1997545Z 
2025-11-03T16:37:41.1997644Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1998064Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1998152Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1998387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1998482Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.1998737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.1998808Z     x = stage(x)
2025-11-03T16:37:41.1999068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.1999130Z     out = F.relu_(out)
2025-11-03T16:37:41.1999134Z 
2025-11-03T16:37:41.1999249Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.1999561Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.1999649Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.1999884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.1999965Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2000221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2000278Z     x = stage(x)
2025-11-03T16:37:41.2000517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.2000583Z     out = self.conv3(out)
2025-11-03T16:37:41.2000802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2000863Z     x = F.conv2d(
2025-11-03T16:37:41.2000866Z 
2025-11-03T16:37:41.2000969Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2001272Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2001351Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2001600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2001677Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2001904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2001970Z     x = stage(x)
2025-11-03T16:37:41.2002202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.2002287Z     out = F.relu_(out)
2025-11-03T16:37:41.2002291Z 
2025-11-03T16:37:41.2002389Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2002693Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2002772Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2003000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2003086Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2003317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2003381Z     x = stage(x)
2025-11-03T16:37:41.2003610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.2003674Z     out = self.conv1(x)
2025-11-03T16:37:41.2003894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2003990Z     x = F.conv2d(
2025-11-03T16:37:41.2003995Z 
2025-11-03T16:37:41.2004104Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2004402Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2004489Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2004729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2004806Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2005042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2005099Z     x = stage(x)
2025-11-03T16:37:41.2005333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.2005394Z     out = F.relu_(out)
2025-11-03T16:37:41.2005399Z 
2025-11-03T16:37:41.2005498Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2005798Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2005877Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2006107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2006183Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2006420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2006477Z     x = stage(x)
2025-11-03T16:37:41.2006709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.2006779Z     out = self.conv2(out)
2025-11-03T16:37:41.2006994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2007061Z     x = F.conv2d(
2025-11-03T16:37:41.2007064Z 
2025-11-03T16:37:41.2007161Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2007472Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2007558Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2007784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2007866Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2008104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2008185Z     x = stage(x)
2025-11-03T16:37:41.2008440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.2008504Z     out = F.relu_(out)
2025-11-03T16:37:41.2008507Z 
2025-11-03T16:37:41.2008617Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2008928Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2009019Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2009259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2009339Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2009594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2009656Z     x = stage(x)
2025-11-03T16:37:41.2009963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.2010031Z     out = self.conv3(out)
2025-11-03T16:37:41.2010247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2010314Z     x = F.conv2d(
2025-11-03T16:37:41.2010319Z 
2025-11-03T16:37:41.2010420Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2010723Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2010803Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2011040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2011120Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2011361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2011427Z     x = stage(x)
2025-11-03T16:37:41.2011659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.2011740Z     out = F.relu_(out)
2025-11-03T16:37:41.2011745Z 
2025-11-03T16:37:41.2011845Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2012140Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2012226Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2012455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2012541Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2012775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2012841Z     x = stage(x)
2025-11-03T16:37:41.2013077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.2013143Z     out = self.conv1(x)
2025-11-03T16:37:41.2013364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2013443Z     x = F.conv2d(
2025-11-03T16:37:41.2013446Z 
2025-11-03T16:37:41.2013552Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2013847Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2013925Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2014182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2014261Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2014503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2014562Z     x = stage(x)
2025-11-03T16:37:41.2014800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.2014870Z     out = F.relu_(out)
2025-11-03T16:37:41.2014874Z 
2025-11-03T16:37:41.2014974Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2015282Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2015361Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2015600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2015677Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2015945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2016010Z     x = stage(x)
2025-11-03T16:37:41.2016246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.2016320Z     out = self.conv2(out)
2025-11-03T16:37:41.2016536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2016593Z     x = F.conv2d(
2025-11-03T16:37:41.2016596Z 
2025-11-03T16:37:41.2016702Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2017001Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2017087Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2017316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2017399Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2017632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2017690Z     x = stage(x)
2025-11-03T16:37:41.2017928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.2017989Z     out = F.relu_(out)
2025-11-03T16:37:41.2017992Z 
2025-11-03T16:37:41.2018099Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2018396Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2018477Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2018715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2018792Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2033857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2034064Z     x = stage(x)
2025-11-03T16:37:41.2034531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.2034608Z     out = self.conv3(out)
2025-11-03T16:37:41.2034864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2034929Z     x = F.conv2d(
2025-11-03T16:37:41.2034936Z 
2025-11-03T16:37:41.2035066Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2035437Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2035535Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2035783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2035869Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2036118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2036179Z     x = stage(x)
2025-11-03T16:37:41.2036424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.2036490Z     out = F.relu_(out)
2025-11-03T16:37:41.2036495Z 
2025-11-03T16:37:41.2036604Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2036922Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2037007Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2037315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2037401Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2037643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2037716Z     x = stage(x)
2025-11-03T16:37:41.2038041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.2038122Z     out = self.conv1(x)
2025-11-03T16:37:41.2038345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2038408Z     x = F.conv2d(
2025-11-03T16:37:41.2038428Z 
2025-11-03T16:37:41.2038537Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2038851Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2038954Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2039205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2039304Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2039559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2039626Z     x = stage(x)
2025-11-03T16:37:41.2039891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.2039961Z     out = F.relu_(out)
2025-11-03T16:37:41.2039967Z 
2025-11-03T16:37:41.2040090Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2040423Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2040521Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2040769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2040890Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2041138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2041201Z     x = stage(x)
2025-11-03T16:37:41.2041447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.2041516Z     out = self.conv2(out)
2025-11-03T16:37:41.2041737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2041825Z     x = F.conv2d(
2025-11-03T16:37:41.2041829Z 
2025-11-03T16:37:41.2041937Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2042252Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2042336Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2042572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2042661Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2042902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2042974Z     x = stage(x)
2025-11-03T16:37:41.2043214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.2043289Z     out = F.relu_(out)
2025-11-03T16:37:41.2043292Z 
2025-11-03T16:37:41.2043397Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2043735Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2043828Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2044063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2044153Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2044391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2044450Z     x = stage(x)
2025-11-03T16:37:41.2044699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.2044769Z     out = self.conv3(out)
2025-11-03T16:37:41.2044997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2045063Z     x = F.conv2d(
2025-11-03T16:37:41.2045066Z 
2025-11-03T16:37:41.2045179Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2045486Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2045570Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2045814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2045893Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2046142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2046204Z     x = stage(x)
2025-11-03T16:37:41.2046445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.2046526Z     out = F.relu_(out)
2025-11-03T16:37:41.2046530Z 
2025-11-03T16:37:41.2046634Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2046944Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2047066Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2047308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2047386Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2047629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2047699Z     x = stage(x)
2025-11-03T16:37:41.2047957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.2048031Z     out = self.conv1(x)
2025-11-03T16:37:41.2048255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2048316Z     x = F.conv2d(
2025-11-03T16:37:41.2048320Z 
2025-11-03T16:37:41.2048434Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2048737Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2048826Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2049058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2049138Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2049387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2049447Z     x = stage(x)
2025-11-03T16:37:41.2049729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.2049795Z     out = F.relu_(out)
2025-11-03T16:37:41.2049799Z 
2025-11-03T16:37:41.2049911Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2050214Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2050297Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2050541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2050622Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2050876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2050938Z     x = stage(x)
2025-11-03T16:37:41.2051184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.2051263Z     out = self.conv2(out)
2025-11-03T16:37:41.2051484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2051555Z     x = F.conv2d(
2025-11-03T16:37:41.2051559Z 
2025-11-03T16:37:41.2051660Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2051978Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2052058Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2052294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2052385Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2052632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2052699Z     x = stage(x)
2025-11-03T16:37:41.2052941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.2053004Z     out = F.relu_(out)
2025-11-03T16:37:41.2053032Z 
2025-11-03T16:37:41.2053146Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2053450Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2053541Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2053775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2053882Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2054140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2054201Z     x = stage(x)
2025-11-03T16:37:41.2054453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.2054519Z     out = self.conv3(out)
2025-11-03T16:37:41.2054752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2054810Z     x = F.conv2d(
2025-11-03T16:37:41.2054814Z 
2025-11-03T16:37:41.2054915Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2055232Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2055313Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2055557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2055999Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2056238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2056306Z     x = stage(x)
2025-11-03T16:37:41.2056554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.2056627Z     out = F.relu_(out)
2025-11-03T16:37:41.2056630Z 
2025-11-03T16:37:41.2056732Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2057036Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2057117Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2057348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2057432Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2057667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2057733Z     x = stage(x)
2025-11-03T16:37:41.2057970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.2058034Z     out = self.conv1(x)
2025-11-03T16:37:41.2058254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2058313Z     x = F.conv2d(
2025-11-03T16:37:41.2058316Z 
2025-11-03T16:37:41.2058423Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2058720Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2058808Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2059039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2059116Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2059358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2059433Z     x = stage(x)
2025-11-03T16:37:41.2059678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.2059745Z     out = F.relu_(out)
2025-11-03T16:37:41.2059749Z 
2025-11-03T16:37:41.2059848Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2060164Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2060319Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2060575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2060652Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2060892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2060952Z     x = stage(x)
2025-11-03T16:37:41.2061185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.2061259Z     out = self.conv2(out)
2025-11-03T16:37:41.2061472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2061541Z     x = F.conv2d(
2025-11-03T16:37:41.2061545Z 
2025-11-03T16:37:41.2061646Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2061943Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2062065Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2062304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2062391Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2062632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2062693Z     x = stage(x)
2025-11-03T16:37:41.2062938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.2063000Z     out = F.relu_(out)
2025-11-03T16:37:41.2063004Z 
2025-11-03T16:37:41.2063117Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2063416Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2063508Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2063743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2063822Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2064066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2064127Z     x = stage(x)
2025-11-03T16:37:41.2064368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.2064433Z     out = self.conv3(out)
2025-11-03T16:37:41.2064646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2064717Z     x = F.conv2d(
2025-11-03T16:37:41.2064720Z 
2025-11-03T16:37:41.2064820Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2065128Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2065211Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2065453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2065553Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2065791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2065861Z     x = stage(x)
2025-11-03T16:37:41.2066102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.2066173Z     out = F.relu_(out)
2025-11-03T16:37:41.2066203Z 
2025-11-03T16:37:41.2066306Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2066607Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2066693Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2067088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2067191Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2067432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2067502Z     x = stage(x)
2025-11-03T16:37:41.2067739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.2067803Z     out = self.conv1(x)
2025-11-03T16:37:41.2068033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2068094Z     x = F.conv2d(
2025-11-03T16:37:41.2068098Z 
2025-11-03T16:37:41.2068333Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2068631Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2068711Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2068948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2069027Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2069271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2069331Z     x = stage(x)
2025-11-03T16:37:41.2069563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.2069637Z     out = F.relu_(out)
2025-11-03T16:37:41.2069641Z 
2025-11-03T16:37:41.2069743Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2070054Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2070135Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2070377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2070455Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2070690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2070761Z     x = stage(x)
2025-11-03T16:37:41.2070995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.2071071Z     out = self.conv2(out)
2025-11-03T16:37:41.2071285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2071345Z     x = F.conv2d(
2025-11-03T16:37:41.2071357Z 
2025-11-03T16:37:41.2071459Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2071753Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2071879Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2072107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2072191Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2072424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2072512Z     x = stage(x)
2025-11-03T16:37:41.2072753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.2072819Z     out = F.relu_(out)
2025-11-03T16:37:41.2072822Z 
2025-11-03T16:37:41.2072932Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2073228Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2073310Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2073546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2073622Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2073865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2073925Z     x = stage(x)
2025-11-03T16:37:41.2074167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.2074264Z     out = self.conv3(out)
2025-11-03T16:37:41.2074477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2074546Z     x = F.conv2d(
2025-11-03T16:37:41.2074550Z 
2025-11-03T16:37:41.2074649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2074957Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2075036Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2075266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2075354Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2075592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2075662Z     x = stage(x)
2025-11-03T16:37:41.2075899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.2075969Z     out = F.relu_(out)
2025-11-03T16:37:41.2075972Z 
2025-11-03T16:37:41.2076070Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2076371Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2076459Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2076688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2076774Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2077010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2077071Z     x = stage(x)
2025-11-03T16:37:41.2077320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.2077384Z     out = self.conv1(x)
2025-11-03T16:37:41.2077611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2077692Z     x = F.conv2d(
2025-11-03T16:37:41.2077695Z 
2025-11-03T16:37:41.2077861Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2078181Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2078266Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2078522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2078627Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2078883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2078959Z     x = stage(x)
2025-11-03T16:37:41.2079195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.2079265Z     out = F.relu_(out)
2025-11-03T16:37:41.2079271Z 
2025-11-03T16:37:41.2079370Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2079694Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2079772Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2080005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2080084Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2080346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2080415Z     x = stage(x)
2025-11-03T16:37:41.2080648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.2080721Z     out = self.conv2(out)
2025-11-03T16:37:41.2080937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2080996Z     x = F.conv2d(
2025-11-03T16:37:41.2080999Z 
2025-11-03T16:37:41.2081103Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2081399Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2081483Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2081709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2081795Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2082027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2082083Z     x = stage(x)
2025-11-03T16:37:41.2082326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.2082390Z     out = F.relu_(out)
2025-11-03T16:37:41.2082393Z 
2025-11-03T16:37:41.2082510Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2082799Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2082873Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2083102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2083177Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2083414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2083471Z     x = stage(x)
2025-11-03T16:37:41.2083696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.2083790Z     out = self.conv3(out)
2025-11-03T16:37:41.2083997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2084060Z     x = F.conv2d(
2025-11-03T16:37:41.2084063Z 
2025-11-03T16:37:41.2084161Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2084458Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2084555Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2084776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2084859Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2085086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2085151Z     x = stage(x)
2025-11-03T16:37:41.2085376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:37:41.2085445Z     shortcut = self.shortcut(x)
2025-11-03T16:37:41.2085660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2085718Z     x = F.conv2d(
2025-11-03T16:37:41.2085721Z 
2025-11-03T16:37:41.2085827Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2086141Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2086226Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2086449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2086527Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2086760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2086817Z     x = stage(x)
2025-11-03T16:37:41.2087052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.2087112Z     out = self.conv1(x)
2025-11-03T16:37:41.2087322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2087390Z     x = F.conv2d(
2025-11-03T16:37:41.2087392Z 
2025-11-03T16:37:41.2087490Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2087783Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2087860Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2088082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2088164Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2088389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2088454Z     x = stage(x)
2025-11-03T16:37:41.2088680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.2088748Z     out = F.relu_(out)
2025-11-03T16:37:41.2088752Z 
2025-11-03T16:37:41.2088847Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2089134Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2089219Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2089437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2089545Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2089770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2089826Z     x = stage(x)
2025-11-03T16:37:41.2090059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.2090142Z     out = self.conv2(out)
2025-11-03T16:37:41.2090358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2090418Z     x = F.conv2d(
2025-11-03T16:37:41.2090421Z 
2025-11-03T16:37:41.2090526Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2090815Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2090894Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2091125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2091200Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2091438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2091496Z     x = stage(x)
2025-11-03T16:37:41.2091726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.2091793Z     out = F.relu_(out)
2025-11-03T16:37:41.2091840Z 
2025-11-03T16:37:41.2091939Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2092232Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2092310Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2092534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2092608Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2092837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2092901Z     x = stage(x)
2025-11-03T16:37:41.2093126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.2093195Z     out = self.conv3(out)
2025-11-03T16:37:41.2093404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2093460Z     x = F.conv2d(
2025-11-03T16:37:41.2093463Z 
2025-11-03T16:37:41.2093566Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2093858Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2093939Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2094158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2094238Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2094466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2094523Z     x = stage(x)
2025-11-03T16:37:41.2094758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.2094817Z     out = F.relu_(out)
2025-11-03T16:37:41.2094820Z 
2025-11-03T16:37:41.2094923Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2095212Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2095310Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2095543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2095618Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2095858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2095937Z     x = stage(x)
2025-11-03T16:37:41.2096176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:37:41.2096246Z     out = self.conv1(x)
2025-11-03T16:37:41.2096464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2096527Z     x = F.conv2d(
2025-11-03T16:37:41.2096532Z 
2025-11-03T16:37:41.2096630Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2096922Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2096999Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2097217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2097301Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2097530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2097628Z     x = stage(x)
2025-11-03T16:37:41.2097862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:37:41.2097924Z     out = F.relu_(out)
2025-11-03T16:37:41.2097929Z 
2025-11-03T16:37:41.2098036Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2098330Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2098414Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2098640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2098727Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2098960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2099018Z     x = stage(x)
2025-11-03T16:37:41.2099256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:37:41.2099319Z     out = self.conv2(out)
2025-11-03T16:37:41.2099538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2099598Z     x = F.conv2d(
2025-11-03T16:37:41.2099602Z 
2025-11-03T16:37:41.2099700Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2100005Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2100083Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2100316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2100392Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2100634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2100691Z     x = stage(x)
2025-11-03T16:37:41.2100921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:37:41.2101013Z     out = F.relu_(out)
2025-11-03T16:37:41.2101017Z 
2025-11-03T16:37:41.2101116Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2101414Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2101491Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2101719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2101836Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2102071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2102135Z     x = stage(x)
2025-11-03T16:37:41.2102366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:37:41.2102431Z     out = self.conv3(out)
2025-11-03T16:37:41.2102649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2102707Z     x = F.conv2d(
2025-11-03T16:37:41.2102710Z 
2025-11-03T16:37:41.2102817Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2103111Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2103197Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2103457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:37:41.2103536Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:37:41.2103779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:37:41.2103838Z     x = stage(x)
2025-11-03T16:37:41.2104076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:37:41.2104137Z     out = F.relu_(out)
2025-11-03T16:37:41.2104140Z 
2025-11-03T16:37:41.2104239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2104544Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2104625Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2104861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward
2025-11-03T16:37:41.2105019Z     prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]])
2025-11-03T16:37:41.2105244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2105304Z     x = F.conv2d(
2025-11-03T16:37:41.2105307Z 
2025-11-03T16:37:41.2105389Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.2105499Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2105798Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2105884Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2106111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 142, in forward
2025-11-03T16:37:41.2106220Z     results.append(self.output_convs[0](prev_features))
2025-11-03T16:37:41.2106441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2106499Z     x = F.conv2d(
2025-11-03T16:37:41.2106502Z 
2025-11-03T16:37:41.2106608Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2106924Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2107009Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2107236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:37:41.2107318Z     lateral_features = lateral_conv(features)
2025-11-03T16:37:41.2107539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2107618Z     x = F.conv2d(
2025-11-03T16:37:41.2107622Z 
2025-11-03T16:37:41.2107728Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2108021Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2108099Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2108334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:37:41.2108417Z     lateral_features = lateral_conv(features)
2025-11-03T16:37:41.2108639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2108695Z     x = F.conv2d(
2025-11-03T16:37:41.2108698Z 
2025-11-03T16:37:41.2108802Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2109104Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2109249Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2109498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:37:41.2109577Z     lateral_features = lateral_conv(features)
2025-11-03T16:37:41.2109794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2109849Z     x = F.conv2d(
2025-11-03T16:37:41.2109852Z 
2025-11-03T16:37:41.2109948Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2110243Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2110319Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2110553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:37:41.2110659Z     prev_features = lateral_features + top_down_features
2025-11-03T16:37:41.2110663Z 
2025-11-03T16:37:41.2110769Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2111054Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2111132Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2111361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:37:41.2111461Z     prev_features = lateral_features + top_down_features
2025-11-03T16:37:41.2111465Z 
2025-11-03T16:37:41.2111568Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2111862Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2111946Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2112174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:37:41.2112271Z     prev_features = lateral_features + top_down_features
2025-11-03T16:37:41.2112277Z 
2025-11-03T16:37:41.2112391Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.2112470Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.2112554Z cudagraph partition due to non gpu ops
2025-11-03T16:37:41.2112652Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2112948Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2113033Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2113287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 165, in forward
2025-11-03T16:37:41.2113404Z     results.extend(self.top_block(top_block_in_feature))
2025-11-03T16:37:41.2113630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 200, in forward
2025-11-03T16:37:41.2113757Z     return [F.max_pool2d(x, kernel_size=1, stride=2, padding=0)]
2025-11-03T16:37:41.2113762Z 
2025-11-03T16:37:41.2113862Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2114155Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2114244Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2114470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:37:41.2114576Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:37:41.2114792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2114886Z     x = F.conv2d(
2025-11-03T16:37:41.2114898Z 
2025-11-03T16:37:41.2114998Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2115293Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2115380Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2115606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:37:41.2115704Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:37:41.2115916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2115972Z     x = F.conv2d(
2025-11-03T16:37:41.2115977Z 
2025-11-03T16:37:41.2116085Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:41.2116388Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:37:41.2116473Z     features = self.backbone(images.tensor)
2025-11-03T16:37:41.2116700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:37:41.2116791Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:37:41.2117013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:41.2117071Z     x = F.conv2d(
2025-11-03T16:37:41.2117073Z 
2025-11-03T16:37:51.9633685Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9634075Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9634328Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9634600Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9634821Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9635048Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9635291Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9635517Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9635731Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9635960Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9636558Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9636785Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9637011Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9637238Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9637459Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9637686Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9638202Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9638428Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9638732Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9638958Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9639186Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9639415Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9639634Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9639861Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9640082Z cudagraph partition due to non gpu ops
2025-11-03T16:37:51.9640355Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9640879Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9641406Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9641926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:51.9642354Z     t = self.conv(x)
2025-11-03T16:37:51.9642691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:51.9643047Z     x = F.conv2d(
2025-11-03T16:37:51.9643159Z 
2025-11-03T16:37:51.9643359Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9643797Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9644272Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9644750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:51.9645246Z     t = self.conv(x)
2025-11-03T16:37:51.9645608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:37:51.9646010Z     x = self.activation(x)
2025-11-03T16:37:51.9646134Z 
2025-11-03T16:37:51.9646257Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9646721Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9647191Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9647653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:37:51.9648106Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:37:51.9648280Z 
2025-11-03T16:37:51.9648395Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9648822Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9649287Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9649750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:51.9650145Z     t = self.conv(x)
2025-11-03T16:37:51.9650484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:51.9650852Z     x = F.conv2d(
2025-11-03T16:37:51.9650966Z 
2025-11-03T16:37:51.9651073Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9651562Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9652070Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9652648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:51.9653104Z     t = self.conv(x)
2025-11-03T16:37:51.9653434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:37:51.9653821Z     x = self.activation(x)
2025-11-03T16:37:51.9653938Z 
2025-11-03T16:37:51.9654057Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9654501Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9654988Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9655469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:37:51.9655940Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:37:51.9656148Z 
2025-11-03T16:37:51.9656267Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9656693Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9657154Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9657632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:51.9658055Z     t = self.conv(x)
2025-11-03T16:37:51.9658378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:51.9658723Z     x = F.conv2d(
2025-11-03T16:37:51.9658816Z 
2025-11-03T16:37:51.9658931Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9659344Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9659803Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9660257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:51.9660640Z     t = self.conv(x)
2025-11-03T16:37:51.9660961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:37:51.9661311Z     x = self.activation(x)
2025-11-03T16:37:51.9661433Z 
2025-11-03T16:37:51.9661535Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9661962Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9662415Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9662858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:37:51.9663294Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:37:51.9663470Z 
2025-11-03T16:37:51.9663571Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9663987Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9664463Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9664910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:51.9665302Z     t = self.conv(x)
2025-11-03T16:37:51.9665627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:51.9665993Z     x = F.conv2d(
2025-11-03T16:37:51.9666083Z 
2025-11-03T16:37:51.9666192Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9666605Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9667333Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9667797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:51.9668298Z     t = self.conv(x)
2025-11-03T16:37:51.9668626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:37:51.9668977Z     x = self.activation(x)
2025-11-03T16:37:51.9669098Z 
2025-11-03T16:37:51.9669204Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9669631Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9670088Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9670540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:37:51.9670991Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:37:51.9671165Z 
2025-11-03T16:37:51.9671269Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9671683Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9672175Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9672620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:51.9672988Z     t = self.conv(x)
2025-11-03T16:37:51.9673303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:37:51.9673641Z     x = F.conv2d(
2025-11-03T16:37:51.9673732Z 
2025-11-03T16:37:51.9673837Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9674245Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9674693Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9675142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward
2025-11-03T16:37:51.9675520Z     t = self.conv(x)
2025-11-03T16:37:51.9675827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:37:51.9676174Z     x = self.activation(x)
2025-11-03T16:37:51.9676293Z 
2025-11-03T16:37:51.9676398Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9676817Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9677271Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9677726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward
2025-11-03T16:37:51.9678258Z     pred_objectness_logits.append(self.objectness_logits(t))
2025-11-03T16:37:51.9678459Z 
2025-11-03T16:37:51.9678572Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9679035Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9679515Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9679975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:37:51.9680413Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:37:51.9680568Z 
2025-11-03T16:37:51.9680669Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9681078Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9681518Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9682024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:37:51.9682425Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:37:51.9682641Z 
2025-11-03T16:37:51.9682752Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9683154Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9683594Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9684033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:37:51.9684458Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:37:51.9684604Z 
2025-11-03T16:37:51.9684712Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9685118Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9685593Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9686041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:37:51.9686453Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:37:51.9686600Z 
2025-11-03T16:37:51.9686708Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9687112Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward
2025-11-03T16:37:51.9687553Z     pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features)
2025-11-03T16:37:51.9688003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward
2025-11-03T16:37:51.9688443Z     pred_anchor_deltas.append(self.anchor_deltas(t))
2025-11-03T16:37:51.9688590Z 
2025-11-03T16:37:51.9688698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9689116Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:51.9689531Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:51.9689934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:51.9690397Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:51.9690857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:37:51.9691290Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:37:51.9691472Z 
2025-11-03T16:37:51.9691577Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9691990Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:51.9692394Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:51.9692777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:51.9693265Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:51.9694650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:37:51.9695071Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:37:51.9695235Z 
2025-11-03T16:37:51.9695344Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9695750Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:51.9696155Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:51.9696535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:51.9696971Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:51.9697419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:37:51.9697844Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:37:51.9698012Z 
2025-11-03T16:37:51.9698113Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9698518Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:51.9698904Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:51.9699276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:51.9699753Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:51.9700178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:37:51.9700587Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:37:51.9700761Z 
2025-11-03T16:37:51.9700858Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9701260Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:51.9701645Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:51.9702005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:51.9702435Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:51.9702877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:37:51.9703289Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:37:51.9703453Z 
2025-11-03T16:37:51.9703558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9703949Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:37:51.9704328Z     pred_objectness_logits = [
2025-11-03T16:37:51.9704704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:37:51.9705089Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:37:51.9705215Z 
2025-11-03T16:37:51.9705320Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9705710Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:37:51.9706085Z     pred_objectness_logits = [
2025-11-03T16:37:51.9706462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:37:51.9706847Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:37:51.9706974Z 
2025-11-03T16:37:51.9707096Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9707505Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:37:51.9707890Z     pred_objectness_logits = [
2025-11-03T16:37:51.9708270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:37:51.9708667Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:37:51.9708812Z 
2025-11-03T16:37:51.9708910Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9709315Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:37:51.9709684Z     pred_objectness_logits = [
2025-11-03T16:37:51.9710052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:37:51.9710435Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:37:51.9710559Z 
2025-11-03T16:37:51.9710655Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9711056Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward
2025-11-03T16:37:51.9711428Z     pred_objectness_logits = [
2025-11-03T16:37:51.9711793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in <listcomp>
2025-11-03T16:37:51.9712173Z     score.permute(0, 2, 3, 1).flatten(1)
2025-11-03T16:37:51.9712297Z 
2025-11-03T16:37:51.9712395Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9712833Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:37:51.9713212Z     pred_anchor_deltas = [
2025-11-03T16:37:51.9713576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:37:51.9713959Z     .flatten(1, -2)
2025-11-03T16:37:51.9714065Z 
2025-11-03T16:37:51.9714165Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9714576Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:37:51.9714964Z     pred_anchor_deltas = [
2025-11-03T16:37:51.9715340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:37:51.9715725Z     .flatten(1, -2)
2025-11-03T16:37:51.9715831Z 
2025-11-03T16:37:51.9715934Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9716344Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:37:51.9716727Z     pred_anchor_deltas = [
2025-11-03T16:37:51.9717099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:37:51.9717476Z     .flatten(1, -2)
2025-11-03T16:37:51.9717577Z 
2025-11-03T16:37:51.9717676Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9718201Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:37:51.9718643Z     pred_anchor_deltas = [
2025-11-03T16:37:51.9719063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:37:51.9719485Z     .flatten(1, -2)
2025-11-03T16:37:51.9719596Z 
2025-11-03T16:37:51.9719718Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9720134Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward
2025-11-03T16:37:51.9720546Z     pred_anchor_deltas = [
2025-11-03T16:37:51.9720939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in <listcomp>
2025-11-03T16:37:51.9721330Z     .flatten(1, -2)
2025-11-03T16:37:51.9721431Z 
2025-11-03T16:37:51.9721533Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9721956Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:51.9722404Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:51.9722791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:51.9723260Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:51.9723737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:37:51.9724229Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:37:51.9724446Z 
2025-11-03T16:37:51.9724557Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9724972Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:51.9725381Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:51.9725771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:51.9726213Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:51.9726721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:37:51.9727176Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:37:51.9727392Z 
2025-11-03T16:37:51.9727493Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9727920Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:51.9728314Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:51.9728693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:51.9729174Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:51.9729632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:37:51.9730096Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:37:51.9730296Z 
2025-11-03T16:37:51.9730404Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9730815Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:51.9731202Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:51.9731576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:51.9732034Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:51.9732496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:37:51.9732983Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:37:51.9733189Z 
2025-11-03T16:37:51.9733292Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:51.9733727Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward
2025-11-03T16:37:51.9734273Z     anchors = self.anchor_generator(features)
2025-11-03T16:37:51.9734670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:37:51.9735138Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:37:51.9735613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:37:51.9736112Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:37:51.9736345Z 
2025-11-03T16:37:55.7312692Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:55.7313631Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:37:55.7314199Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:37:55.7314779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:37:55.7315374Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:37:55.7315930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:37:55.7316388Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:37:55.7316567Z 
2025-11-03T16:37:55.7316695Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:55.7317638Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:37:55.7318468Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:37:55.7319025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:37:55.7319594Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:37:55.7320126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:37:55.7320584Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:37:55.7320755Z 
2025-11-03T16:37:55.7320866Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:55.7321337Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:37:55.7321850Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:37:55.7322364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:37:55.7322923Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:37:55.7323454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:37:55.7323870Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:37:55.7324012Z 
2025-11-03T16:37:55.7324123Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:55.7324550Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:37:55.7325023Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:37:55.7325490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:37:55.7325981Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:37:55.7326446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:37:55.7326956Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:37:55.7327114Z 
2025-11-03T16:37:55.7327217Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:55.7327648Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals
2025-11-03T16:37:55.7328106Z     pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas)
2025-11-03T16:37:55.7328625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals
2025-11-03T16:37:55.7329112Z     proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i)
2025-11-03T16:37:55.7329577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:37:55.7329973Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:37:55.7330117Z 
2025-11-03T16:37:57.4012081Z cudagraph partition due to non gpu ops
2025-11-03T16:37:57.4012405Z cudagraph partition due to non gpu ops
2025-11-03T16:37:57.4012628Z cudagraph partition due to non gpu ops
2025-11-03T16:37:57.4012844Z cudagraph partition due to non gpu ops
2025-11-03T16:37:57.4013047Z cudagraph partition due to non gpu ops
2025-11-03T16:37:57.4013302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:57.4013743Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:37:57.4014145Z     return torch.cat(tensors, dim)
2025-11-03T16:37:57.4014280Z 
2025-11-03T16:37:58.3983253Z cudagraph partition due to non gpu ops
2025-11-03T16:37:58.3983595Z cudagraph partition due to non gpu ops
2025-11-03T16:37:58.3983818Z cudagraph partition due to non gpu ops
2025-11-03T16:37:58.3984033Z cudagraph partition due to non gpu ops
2025-11-03T16:37:58.3984241Z cudagraph partition due to non gpu ops
2025-11-03T16:37:58.3984488Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:58.3984915Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:37:58.3985278Z     return torch.cat(tensors, dim)
2025-11-03T16:37:58.3985413Z 
2025-11-03T16:37:59.5937900Z cudagraph partition due to non gpu ops
2025-11-03T16:37:59.5941257Z cudagraph partition due to non gpu ops
2025-11-03T16:37:59.5941500Z cudagraph partition due to non gpu ops
2025-11-03T16:37:59.5941768Z cudagraph partition due to non gpu ops
2025-11-03T16:37:59.5941992Z cudagraph partition due to non gpu ops
2025-11-03T16:37:59.5942265Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:37:59.5942714Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:37:59.5943103Z     return torch.cat(tensors, dim)
2025-11-03T16:37:59.5943254Z 
2025-11-03T16:38:00.4748998Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:00.4749535Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:38:00.4750051Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:38:00.4750312Z 
2025-11-03T16:38:00.4750411Z cudagraph partition due to non gpu ops
2025-11-03T16:38:00.4750635Z cudagraph partition due to non gpu ops
2025-11-03T16:38:00.4750860Z cudagraph partition due to non gpu ops
2025-11-03T16:38:00.4751111Z cudagraph partition due to non gpu ops
2025-11-03T16:38:00.4751367Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:00.4751800Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:38:00.4752216Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:38:00.4752389Z 
2025-11-03T16:38:01.8937831Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:01.8938788Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:38:01.8939246Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:38:01.8939434Z 
2025-11-03T16:38:02.6867841Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:02.6869830Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__
2025-11-03T16:38:02.6870924Z     b = self.tensor[item]
2025-11-03T16:38:02.6876180Z 
2025-11-03T16:38:03.4275418Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:03.4276034Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:38:03.4276536Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:38:03.4276783Z 
2025-11-03T16:38:03.4276878Z cudagraph partition due to non gpu ops
2025-11-03T16:38:03.4277127Z cudagraph partition due to non gpu ops
2025-11-03T16:38:03.4277357Z cudagraph partition due to non gpu ops
2025-11-03T16:38:03.4277586Z cudagraph partition due to non gpu ops
2025-11-03T16:38:03.4278065Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:03.4278518Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:38:03.4278959Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:38:03.4279172Z 
2025-11-03T16:38:04.3567074Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:04.3568092Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:38:04.3568575Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:38:04.3568758Z 
2025-11-03T16:38:05.0639090Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:05.0643896Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:38:05.0648677Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:38:05.0650404Z 
2025-11-03T16:38:05.0650529Z cudagraph partition due to non gpu ops
2025-11-03T16:38:05.0650891Z cudagraph partition due to non gpu ops
2025-11-03T16:38:05.0658720Z cudagraph partition due to non gpu ops
2025-11-03T16:38:05.0659545Z cudagraph partition due to non gpu ops
2025-11-03T16:38:05.0659874Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:05.0663628Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:38:05.0664112Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:38:05.0664284Z 
2025-11-03T16:38:06.4909824Z cudagraph partition due to non gpu ops
2025-11-03T16:38:06.4910123Z cudagraph partition due to non gpu ops
2025-11-03T16:38:06.4910386Z cudagraph partition due to non gpu ops
2025-11-03T16:38:06.4910586Z cudagraph partition due to non gpu ops
2025-11-03T16:38:06.4910829Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:06.4911318Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:38:06.4911778Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:38:06.4912202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:38:06.4912595Z     return torch.as_tensor(x, device=device)
2025-11-03T16:38:06.4912744Z 
2025-11-03T16:38:06.4912863Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:06.4913305Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:38:06.4913743Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:38:06.4914241Z 
2025-11-03T16:38:07.1575634Z cudagraph partition due to non gpu ops
2025-11-03T16:38:07.1575956Z cudagraph partition due to non gpu ops
2025-11-03T16:38:07.1576249Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:07.1576858Z    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
2025-11-03T16:38:07.1577342Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:38:07.1578088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:38:07.1578455Z     return torch.cat(tensors, dim)
2025-11-03T16:38:07.1578586Z 
2025-11-03T16:38:09.4464023Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:09.4464745Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels
2025-11-03T16:38:09.4465375Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:38:09.4465868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in <listcomp>
2025-11-03T16:38:09.4466334Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:38:09.4466743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area
2025-11-03T16:38:09.4467605Z     area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1])
2025-11-03T16:38:09.4467772Z 
2025-11-03T16:38:09.4467899Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:09.4468856Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels
2025-11-03T16:38:09.4469335Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:38:09.4469757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in <listcomp>
2025-11-03T16:38:09.4470186Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:38:09.4470591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area
2025-11-03T16:38:09.4470977Z     area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1])
2025-11-03T16:38:09.4471140Z 
2025-11-03T16:38:09.4471251Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:09.4471690Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels
2025-11-03T16:38:09.4472142Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:38:09.4472640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in <listcomp>
2025-11-03T16:38:09.4473045Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:38:09.4473479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area
2025-11-03T16:38:09.4473865Z     area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1])
2025-11-03T16:38:09.4474017Z 
2025-11-03T16:38:09.4474135Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:09.4474562Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels
2025-11-03T16:38:09.4475015Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:38:09.4475422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in <listcomp>
2025-11-03T16:38:09.4475832Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:38:09.4476219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area
2025-11-03T16:38:09.4476640Z     area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1])
2025-11-03T16:38:09.4476864Z 
2025-11-03T16:38:09.4476976Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:09.4477426Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels
2025-11-03T16:38:09.4478066Z     box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists]))
2025-11-03T16:38:09.4478487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:38:09.4478957Z     return torch.cat(tensors, dim)
2025-11-03T16:38:09.4479111Z 
2025-11-03T16:38:09.4479226Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:09.4479703Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 59, in assign_boxes_to_levels
2025-11-03T16:38:09.4480172Z     return level_assignments.to(torch.int64) - min_level
2025-11-03T16:38:09.4480337Z 
2025-11-03T16:38:10.3582310Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:10.3582934Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 111, in _create_zeros
2025-11-03T16:38:10.3583489Z     return torch.zeros(sizes, dtype=like_tensor.dtype, device=like_tensor.device)
2025-11-03T16:38:10.3583735Z 
2025-11-03T16:38:10.9193739Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:10.9195734Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:38:10.9200410Z     return roi_align(
2025-11-03T16:38:10.9205488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:38:10.9206183Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:38:10.9206359Z 
2025-11-03T16:38:10.9206481Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:10.9206907Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:38:10.9207307Z     return roi_align(
2025-11-03T16:38:10.9207657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:38:10.9208058Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:38:10.9208222Z 
2025-11-03T16:38:11.6344617Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:11.6345148Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:38:11.6345575Z     return roi_align(
2025-11-03T16:38:11.6345973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:38:11.6346435Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:38:11.6346598Z 
2025-11-03T16:38:11.6346723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:11.6347147Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:38:11.6347603Z     return roi_align(
2025-11-03T16:38:11.6347961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:38:11.6348393Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:38:11.6348547Z 
2025-11-03T16:38:12.6570343Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:12.6573434Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:38:12.6573808Z     return roi_align(
2025-11-03T16:38:12.6574155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:38:12.6574525Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:38:12.6574669Z 
2025-11-03T16:38:12.6574777Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:12.6575524Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:38:12.6575868Z     return roi_align(
2025-11-03T16:38:12.6576186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:38:12.6576548Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:38:12.6576686Z 
2025-11-03T16:38:13.0329043Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:13.0331808Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:38:13.0332258Z     return roi_align(
2025-11-03T16:38:13.0337664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:38:13.0340072Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:38:13.0340414Z 
2025-11-03T16:38:13.0340647Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:13.0341200Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:38:13.0341692Z     return roi_align(
2025-11-03T16:38:13.0342060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:38:13.0343070Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:38:13.0343275Z 
2025-11-03T16:38:13.9634548Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:13.9635193Z    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
2025-11-03T16:38:13.9636079Z     box_features = self.box_head(box_features)
2025-11-03T16:38:13.9636486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:38:13.9636870Z     x = layer(x)
2025-11-03T16:38:13.9636975Z 
2025-11-03T16:38:13.9637085Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:13.9637577Z    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
2025-11-03T16:38:13.9638176Z     box_features = self.box_head(box_features)
2025-11-03T16:38:13.9638621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:38:13.9639048Z     x = layer(x)
2025-11-03T16:38:13.9639143Z 
2025-11-03T16:38:13.9639252Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:13.9639745Z    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
2025-11-03T16:38:13.9640216Z     box_features = self.box_head(box_features)
2025-11-03T16:38:13.9640621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:38:13.9640989Z     x = layer(x)
2025-11-03T16:38:13.9641079Z 
2025-11-03T16:38:13.9641183Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:13.9641657Z    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
2025-11-03T16:38:13.9642119Z     box_features = self.box_head(box_features)
2025-11-03T16:38:13.9642507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:38:13.9642868Z     x = layer(x)
2025-11-03T16:38:13.9642957Z 
2025-11-03T16:38:13.9643060Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:13.9643532Z    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
2025-11-03T16:38:13.9644079Z     predictions = self.box_predictor(box_features)
2025-11-03T16:38:13.9644484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:38:13.9644866Z     scores = self.cls_score(x)
2025-11-03T16:38:13.9644983Z 
2025-11-03T16:38:13.9645083Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:13.9645556Z    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
2025-11-03T16:38:13.9646141Z     predictions = self.box_predictor(box_features)
2025-11-03T16:38:13.9646546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:38:13.9646936Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:38:13.9647076Z 
2025-11-03T16:38:16.1096996Z cudagraph partition due to non gpu ops
2025-11-03T16:38:16.1098422Z cudagraph partition due to non gpu ops
2025-11-03T16:38:16.1098666Z cudagraph partition due to non gpu ops
2025-11-03T16:38:16.1098899Z cudagraph partition due to non gpu ops
2025-11-03T16:38:16.1099174Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:16.1099688Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:38:16.1100163Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:38:16.1100644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:38:16.1101647Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:38:16.1102115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:38:16.1102476Z     return torch.cat(tensors, dim)
2025-11-03T16:38:16.1102612Z 
2025-11-03T16:38:16.1102727Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:16.1103161Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:38:16.1103592Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:38:16.1104034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:38:16.1104473Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:38:16.1104904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:38:16.1105320Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:38:16.1105477Z 
2025-11-03T16:38:18.1114917Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:18.1115527Z    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
2025-11-03T16:38:18.1116114Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:38:18.1116333Z 
2025-11-03T16:38:18.1116447Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:18.1116996Z    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
2025-11-03T16:38:18.1117519Z     valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1)
2025-11-03T16:38:18.1117737Z 
2025-11-03T16:38:18.1117913Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:18.1118417Z    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
2025-11-03T16:38:18.1118951Z     if not valid_mask.all():
2025-11-03T16:38:18.1119078Z 
2025-11-03T16:38:19.5686308Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:19.5689243Z    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
2025-11-03T16:38:19.5689762Z     boxes.clip(image_shape)
2025-11-03T16:38:19.5692608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:38:19.5695346Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:38:19.5695875Z 
2025-11-03T16:38:19.5701160Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:19.5705113Z    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
2025-11-03T16:38:19.5706493Z     filter_mask = scores > score_thresh  # R x K
2025-11-03T16:38:19.5706681Z 
2025-11-03T16:38:19.5706779Z cudagraph partition due to non gpu ops
2025-11-03T16:38:19.5707003Z cudagraph partition due to non gpu ops
2025-11-03T16:38:19.5707221Z cudagraph partition due to non gpu ops
2025-11-03T16:38:19.5707420Z cudagraph partition due to non gpu ops
2025-11-03T16:38:19.5707649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:19.5708201Z    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
2025-11-03T16:38:19.5708703Z     boxes.clip(image_shape)
2025-11-03T16:38:19.5709061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:38:19.5709763Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:38:19.5709920Z 
2025-11-03T16:38:21.8592822Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:21.8593366Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:38:21.8593878Z     max_coordinate = boxes.max()
2025-11-03T16:38:21.8594018Z 
2025-11-03T16:38:21.8594126Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:21.8594566Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:38:21.8594982Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:38:21.8595122Z 
2025-11-03T16:38:22.6132385Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:22.6134651Z    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
2025-11-03T16:38:22.6141235Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:38:22.6142971Z 
2025-11-03T16:38:22.6143352Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:22.6144017Z    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
2025-11-03T16:38:22.6144825Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:38:22.6145153Z 
2025-11-03T16:38:22.6145386Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:22.6146055Z    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
2025-11-03T16:38:22.6146639Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:38:22.6146828Z 
2025-11-03T16:38:24.7111193Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:24.7111886Z    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
2025-11-03T16:38:24.7112796Z     boxes.clip(image_shape)
2025-11-03T16:38:24.7113151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:38:24.7113675Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:38:24.7113917Z 
2025-11-03T16:38:24.7114040Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:24.7114633Z    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
2025-11-03T16:38:24.7115285Z     filter_mask = scores > score_thresh  # R x K
2025-11-03T16:38:24.7115458Z 
2025-11-03T16:38:24.7115553Z cudagraph partition due to non gpu ops
2025-11-03T16:38:24.7115798Z cudagraph partition due to non gpu ops
2025-11-03T16:38:24.7116035Z cudagraph partition due to non gpu ops
2025-11-03T16:38:24.7116275Z cudagraph partition due to non gpu ops
2025-11-03T16:38:24.7116544Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:24.7117112Z    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
2025-11-03T16:38:24.7117665Z     boxes.clip(image_shape)
2025-11-03T16:38:24.7118273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:38:24.7118721Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:38:24.7118906Z 
2025-11-03T16:38:28.0717982Z cudagraph partition due to non gpu ops
2025-11-03T16:38:28.0718835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:28.0719430Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:38:28.0719942Z     output_boxes.clip(results.image_size)
2025-11-03T16:38:28.0720423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:38:28.0720984Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:38:28.0721242Z 
2025-11-03T16:38:28.0721335Z cudagraph partition due to non gpu ops
2025-11-03T16:38:28.0721591Z cudagraph partition due to non gpu ops
2025-11-03T16:38:28.0721868Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:28.0722395Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:38:28.0722882Z     output_boxes.clip(results.image_size)
2025-11-03T16:38:28.0723291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:38:28.0723722Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:38:28.0723894Z 
2025-11-03T16:38:28.0724023Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:38:28.0724511Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:38:28.0724993Z     results = results[output_boxes.nonempty()]
2025-11-03T16:38:28.0725421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:38:28.0725848Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:38:28.0726017Z 
2025-11-03T16:38:35.0093978Z Compilation time (from dynamo_timed): 77.703811302
2025-11-03T16:38:35.0094502Z pass
2025-11-03T16:38:35.0094856Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:38:35.0095629Z TIMING: gc:0.06329 entire_frame_compile:77.70381 _recursive_pre_grad_passes:0.03873 async_compile.wait:13.70002 backend_compile:48.811 _recursive_joint_graph_passes:0.58391 _recursive_post_grad_passes:0.34824 code_gen:21.8118 inductor_compile:29.09868 total_wall_time:77.70381
2025-11-03T16:38:35.0097022Z STATS: call_* op count: 1156 | FakeTensorMode.__torch_dispatch__:27279 | FakeTensor.__torch_dispatch__:15706 | ProxyTorchDispatchMode.__torch_dispatch__:7288 | attempt fast:137 | slow no contiguity match:50 | fast is_contiguous:87
2025-11-03T16:38:35.0097661Z Dynamo produced 61 graphs covering 1156 ops with 46 graph breaks (6 unique)
2025-11-03T16:38:39.2144744Z /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.
2025-11-03T16:38:39.2146019Z   import pynvml  # type: ignore[import]
2025-11-03T16:38:41.3934151Z 
2025-11-03T16:38:45.0021928Z loading model: 0it [00:00, ?it/s]W1103 16:38:45.000000 18447 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.
2025-11-03T16:38:53.2126886Z 
2025-11-03T16:38:53.2127737Z loading model: 0it [00:11, ?it/s]
2025-11-03T16:38:53.2141761Z cpu  eval  detectron2_fasterrcnn_r_50_c4      
2025-11-03T16:39:01.7794860Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_c4. Setting accuracy check to cosine
2025-11-03T16:39:01.7875208Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:39:20.4321894Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:39:38.9737429Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:39:56.0744008Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0744624Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0744921Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0745599Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0745892Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0746128Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0746353Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0746578Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0746796Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0747032Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0747245Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0747468Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0747701Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0747922Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0748135Z cudagraph partition due to non gpu ops
2025-11-03T16:39:56.0748517Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0749106Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0749623Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0750062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:39:56.0750467Z     x = self.stem(x)
2025-11-03T16:39:56.0750893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:39:56.0751304Z     x = self.conv1(x)
2025-11-03T16:39:56.0751662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0752058Z     x = F.conv2d(
2025-11-03T16:39:56.0752170Z 
2025-11-03T16:39:56.0752287Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0752805Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0753702Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0754124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:39:56.0754516Z     x = self.stem(x)
2025-11-03T16:39:56.0754941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:39:56.0755421Z     x = F.relu_(x)
2025-11-03T16:39:56.0755535Z 
2025-11-03T16:39:56.0755655Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0756195Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0756783Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0757187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:39:56.0757587Z     x = self.stem(x)
2025-11-03T16:39:56.0758048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:39:56.0758530Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:39:56.0758727Z 
2025-11-03T16:39:56.0758858Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0759389Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0759887Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0760410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0760808Z     x = stage(x)
2025-11-03T16:39:56.0761177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0761581Z     out = self.conv1(x)
2025-11-03T16:39:56.0761994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0762387Z     x = F.conv2d(
2025-11-03T16:39:56.0762494Z 
2025-11-03T16:39:56.0762620Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0763125Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0763617Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0764043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0764447Z     x = stage(x)
2025-11-03T16:39:56.0764814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0765207Z     out = F.relu_(out)
2025-11-03T16:39:56.0765325Z 
2025-11-03T16:39:56.0765438Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0765949Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0766434Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0766850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0767425Z     x = stage(x)
2025-11-03T16:39:56.0767813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0768229Z     out = self.conv2(out)
2025-11-03T16:39:56.0768604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0768982Z     x = F.conv2d(
2025-11-03T16:39:56.0769133Z 
2025-11-03T16:39:56.0769249Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0769754Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0770243Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0770661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0771055Z     x = stage(x)
2025-11-03T16:39:56.0771387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0771758Z     out = F.relu_(out)
2025-11-03T16:39:56.0771862Z 
2025-11-03T16:39:56.0771973Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0772439Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0772876Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0773253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0773611Z     x = stage(x)
2025-11-03T16:39:56.0773942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0774303Z     out = self.conv3(out)
2025-11-03T16:39:56.0774638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0774982Z     x = F.conv2d(
2025-11-03T16:39:56.0775075Z 
2025-11-03T16:39:56.0775239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0775721Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0776173Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0776567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0776925Z     x = stage(x)
2025-11-03T16:39:56.0777248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:39:56.0777620Z     shortcut = self.shortcut(x)
2025-11-03T16:39:56.0777960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0778302Z     x = F.conv2d(
2025-11-03T16:39:56.0778397Z 
2025-11-03T16:39:56.0778504Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0778959Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0779398Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0779773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0780137Z     x = stage(x)
2025-11-03T16:39:56.0780469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0780831Z     out = self.conv1(x)
2025-11-03T16:39:56.0781145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0781484Z     x = F.conv2d(
2025-11-03T16:39:56.0781580Z 
2025-11-03T16:39:56.0781682Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0782142Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0782582Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0782951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0783338Z     x = stage(x)
2025-11-03T16:39:56.0783671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0784037Z     out = F.relu_(out)
2025-11-03T16:39:56.0784146Z 
2025-11-03T16:39:56.0784253Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0784751Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0785219Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0785595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0785951Z     x = stage(x)
2025-11-03T16:39:56.0786271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0786635Z     out = self.conv2(out)
2025-11-03T16:39:56.0786963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0787298Z     x = F.conv2d(
2025-11-03T16:39:56.0787388Z 
2025-11-03T16:39:56.0787496Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0787951Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0788392Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0788790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0789143Z     x = stage(x)
2025-11-03T16:39:56.0789454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0789807Z     out = F.relu_(out)
2025-11-03T16:39:56.0789911Z 
2025-11-03T16:39:56.0790010Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0790455Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0790881Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0791241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0791606Z     x = stage(x)
2025-11-03T16:39:56.0791934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0792300Z     out = self.conv3(out)
2025-11-03T16:39:56.0792626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0793071Z     x = F.conv2d(
2025-11-03T16:39:56.0793174Z 
2025-11-03T16:39:56.0793276Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0793733Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0794175Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0794549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0794898Z     x = stage(x)
2025-11-03T16:39:56.0795225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:56.0795597Z     out = F.relu_(out)
2025-11-03T16:39:56.0795704Z 
2025-11-03T16:39:56.0795816Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0796282Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0796753Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0797141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0797509Z     x = stage(x)
2025-11-03T16:39:56.0798086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0798512Z     out = self.conv1(x)
2025-11-03T16:39:56.0798908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0799274Z     x = F.conv2d(
2025-11-03T16:39:56.0799365Z 
2025-11-03T16:39:56.0799481Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0799938Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0800377Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0800763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0801111Z     x = stage(x)
2025-11-03T16:39:56.0801434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0801782Z     out = F.relu_(out)
2025-11-03T16:39:56.0801889Z 
2025-11-03T16:39:56.0801999Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0802450Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0802943Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0803317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0803658Z     x = stage(x)
2025-11-03T16:39:56.0803981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0804339Z     out = self.conv2(out)
2025-11-03T16:39:56.0804658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0804989Z     x = F.conv2d(
2025-11-03T16:39:56.0805078Z 
2025-11-03T16:39:56.0805178Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0805621Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0806054Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0806421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0806759Z     x = stage(x)
2025-11-03T16:39:56.0807074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0807429Z     out = F.relu_(out)
2025-11-03T16:39:56.0807526Z 
2025-11-03T16:39:56.0807636Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0808076Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0808497Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0808866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0809209Z     x = stage(x)
2025-11-03T16:39:56.0809525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0809879Z     out = self.conv3(out)
2025-11-03T16:39:56.0810198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0810559Z     x = F.conv2d(
2025-11-03T16:39:56.0810651Z 
2025-11-03T16:39:56.0810750Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0811193Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0811614Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0811978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0812345Z     x = stage(x)
2025-11-03T16:39:56.0812667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:56.0813016Z     out = F.relu_(out)
2025-11-03T16:39:56.0813114Z 
2025-11-03T16:39:56.0813212Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0813651Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0814077Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0814441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0814787Z     x = stage(x)
2025-11-03T16:39:56.0815154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0815518Z     out = self.conv1(x)
2025-11-03T16:39:56.0815850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0816221Z     x = F.conv2d(
2025-11-03T16:39:56.0816315Z 
2025-11-03T16:39:56.0816421Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0816890Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0817339Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0817718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0818156Z     x = stage(x)
2025-11-03T16:39:56.0818481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0818846Z     out = F.relu_(out)
2025-11-03T16:39:56.0818957Z 
2025-11-03T16:39:56.0819059Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0819524Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0819975Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0820349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0820709Z     x = stage(x)
2025-11-03T16:39:56.0821039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0821402Z     out = self.conv2(out)
2025-11-03T16:39:56.0821722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0822058Z     x = F.conv2d(
2025-11-03T16:39:56.0822154Z 
2025-11-03T16:39:56.0822261Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0822724Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0823176Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0823545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0823906Z     x = stage(x)
2025-11-03T16:39:56.0824268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0824625Z     out = F.relu_(out)
2025-11-03T16:39:56.0824722Z 
2025-11-03T16:39:56.0824831Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0825289Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0825757Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0826133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0826493Z     x = stage(x)
2025-11-03T16:39:56.0826816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0827181Z     out = self.conv3(out)
2025-11-03T16:39:56.0827506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0827849Z     x = F.conv2d(
2025-11-03T16:39:56.0827937Z 
2025-11-03T16:39:56.0828049Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0828510Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0828963Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0829338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0829701Z     x = stage(x)
2025-11-03T16:39:56.0830063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:39:56.0830418Z     shortcut = self.shortcut(x)
2025-11-03T16:39:56.0830747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0831074Z     x = F.conv2d(
2025-11-03T16:39:56.0831159Z 
2025-11-03T16:39:56.0831269Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0831712Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0832144Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0832509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0832856Z     x = stage(x)
2025-11-03T16:39:56.0833179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0833523Z     out = self.conv1(x)
2025-11-03T16:39:56.0833837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0834165Z     x = F.conv2d(
2025-11-03T16:39:56.0834252Z 
2025-11-03T16:39:56.0834360Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0834815Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0835244Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0835616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0835978Z     x = stage(x)
2025-11-03T16:39:56.0836310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0836660Z     out = F.relu_(out)
2025-11-03T16:39:56.0836770Z 
2025-11-03T16:39:56.0836869Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0837327Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0837915Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0838352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0838739Z     x = stage(x)
2025-11-03T16:39:56.0839119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0839527Z     out = self.conv2(out)
2025-11-03T16:39:56.0839865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0840208Z     x = F.conv2d(
2025-11-03T16:39:56.0840304Z 
2025-11-03T16:39:56.0840411Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0840883Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0841339Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0841727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0842091Z     x = stage(x)
2025-11-03T16:39:56.0842424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0842789Z     out = F.relu_(out)
2025-11-03T16:39:56.0842894Z 
2025-11-03T16:39:56.0843004Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0843598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0844035Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0844407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0844767Z     x = stage(x)
2025-11-03T16:39:56.0845105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0845479Z     out = self.conv3(out)
2025-11-03T16:39:56.0845808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0846168Z     x = F.conv2d(
2025-11-03T16:39:56.0846266Z 
2025-11-03T16:39:56.0846372Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0846849Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0847299Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0847687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0848063Z     x = stage(x)
2025-11-03T16:39:56.0848395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:56.0848756Z     out = F.relu_(out)
2025-11-03T16:39:56.0848855Z 
2025-11-03T16:39:56.0848956Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0849419Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0849860Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0850241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0850603Z     x = stage(x)
2025-11-03T16:39:56.0850927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0851306Z     out = self.conv1(x)
2025-11-03T16:39:56.0851629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0852004Z     x = F.conv2d(
2025-11-03T16:39:56.0852092Z 
2025-11-03T16:39:56.0852193Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0852655Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0853094Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0853514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0853874Z     x = stage(x)
2025-11-03T16:39:56.0854198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0854551Z     out = F.relu_(out)
2025-11-03T16:39:56.0854657Z 
2025-11-03T16:39:56.0854756Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0855213Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0855653Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0856017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0856375Z     x = stage(x)
2025-11-03T16:39:56.0856701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0857064Z     out = self.conv2(out)
2025-11-03T16:39:56.0858361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0858722Z     x = F.conv2d(
2025-11-03T16:39:56.0858823Z 
2025-11-03T16:39:56.0858926Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0859386Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0859832Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0860205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0860568Z     x = stage(x)
2025-11-03T16:39:56.0860900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0861283Z     out = F.relu_(out)
2025-11-03T16:39:56.0861383Z 
2025-11-03T16:39:56.0861490Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0861948Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0862386Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0862758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0863123Z     x = stage(x)
2025-11-03T16:39:56.0863435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0863794Z     out = self.conv3(out)
2025-11-03T16:39:56.0864121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0864461Z     x = F.conv2d(
2025-11-03T16:39:56.0864552Z 
2025-11-03T16:39:56.0864662Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0865114Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0865557Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0865934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0866328Z     x = stage(x)
2025-11-03T16:39:56.0866657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:56.0867268Z     out = F.relu_(out)
2025-11-03T16:39:56.0867383Z 
2025-11-03T16:39:56.0867489Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0867966Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0868503Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0868918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0869297Z     x = stage(x)
2025-11-03T16:39:56.0869658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0870051Z     out = self.conv1(x)
2025-11-03T16:39:56.0870381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0870721Z     x = F.conv2d(
2025-11-03T16:39:56.0870824Z 
2025-11-03T16:39:56.0870928Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0871398Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0871867Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0872280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0872729Z     x = stage(x)
2025-11-03T16:39:56.0873091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0873483Z     out = F.relu_(out)
2025-11-03T16:39:56.0873589Z 
2025-11-03T16:39:56.0873711Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0874201Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0874680Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0875087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0875474Z     x = stage(x)
2025-11-03T16:39:56.0875834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0876219Z     out = self.conv2(out)
2025-11-03T16:39:56.0876575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0876945Z     x = F.conv2d(
2025-11-03T16:39:56.0877039Z 
2025-11-03T16:39:56.0877157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0877653Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0878177Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0878603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0879012Z     x = stage(x)
2025-11-03T16:39:56.0879364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0879745Z     out = F.relu_(out)
2025-11-03T16:39:56.0879859Z 
2025-11-03T16:39:56.0879973Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0880479Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0880973Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0881438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0881831Z     x = stage(x)
2025-11-03T16:39:56.0882205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0882613Z     out = self.conv3(out)
2025-11-03T16:39:56.0882978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0883386Z     x = F.conv2d(
2025-11-03T16:39:56.0883485Z 
2025-11-03T16:39:56.0883597Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0884109Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0884602Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0885016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0885413Z     x = stage(x)
2025-11-03T16:39:56.0885767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:56.0886169Z     out = F.relu_(out)
2025-11-03T16:39:56.0886277Z 
2025-11-03T16:39:56.0886398Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0886907Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0887390Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0887853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0888211Z     x = stage(x)
2025-11-03T16:39:56.0888538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0888902Z     out = self.conv1(x)
2025-11-03T16:39:56.0889215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0889550Z     x = F.conv2d(
2025-11-03T16:39:56.0889644Z 
2025-11-03T16:39:56.0889745Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0890202Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0890640Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0891007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0891365Z     x = stage(x)
2025-11-03T16:39:56.0891688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0892046Z     out = F.relu_(out)
2025-11-03T16:39:56.0892144Z 
2025-11-03T16:39:56.0892246Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0892700Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0893141Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0893511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0893866Z     x = stage(x)
2025-11-03T16:39:56.0894187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0894550Z     out = self.conv2(out)
2025-11-03T16:39:56.0894876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0895209Z     x = F.conv2d(
2025-11-03T16:39:56.0895320Z 
2025-11-03T16:39:56.0895421Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0895878Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0896316Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0896686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0897062Z     x = stage(x)
2025-11-03T16:39:56.0897376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0897734Z     out = F.relu_(out)
2025-11-03T16:39:56.0897839Z 
2025-11-03T16:39:56.0897940Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0898391Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0898828Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0899188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0899539Z     x = stage(x)
2025-11-03T16:39:56.0899866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0900230Z     out = self.conv3(out)
2025-11-03T16:39:56.0900549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0900884Z     x = F.conv2d(
2025-11-03T16:39:56.0900980Z 
2025-11-03T16:39:56.0901117Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0901577Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0902019Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0902395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0902745Z     x = stage(x)
2025-11-03T16:39:56.0903067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:39:56.0903427Z     shortcut = self.shortcut(x)
2025-11-03T16:39:56.0903758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0904080Z     x = F.conv2d(
2025-11-03T16:39:56.0904175Z 
2025-11-03T16:39:56.0904278Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0904737Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0905176Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0905553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0905905Z     x = stage(x)
2025-11-03T16:39:56.0906235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0906601Z     out = self.conv1(x)
2025-11-03T16:39:56.0906926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0907255Z     x = F.conv2d(
2025-11-03T16:39:56.0907349Z 
2025-11-03T16:39:56.0907451Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0907912Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0908360Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0908747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0909148Z     x = stage(x)
2025-11-03T16:39:56.0909487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0909858Z     out = F.relu_(out)
2025-11-03T16:39:56.0909959Z 
2025-11-03T16:39:56.0910081Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0910527Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0910987Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0911365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0911725Z     x = stage(x)
2025-11-03T16:39:56.0912058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0912428Z     out = self.conv2(out)
2025-11-03T16:39:56.0912764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0913106Z     x = F.conv2d(
2025-11-03T16:39:56.0913195Z 
2025-11-03T16:39:56.0913306Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0913768Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0914213Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0914635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0915003Z     x = stage(x)
2025-11-03T16:39:56.0915343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0915706Z     out = F.relu_(out)
2025-11-03T16:39:56.0915813Z 
2025-11-03T16:39:56.0915917Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0916392Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0916864Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0917273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0917766Z     x = stage(x)
2025-11-03T16:39:56.0918260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0918677Z     out = self.conv3(out)
2025-11-03T16:39:56.0919040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0919424Z     x = F.conv2d(
2025-11-03T16:39:56.0919522Z 
2025-11-03T16:39:56.0919639Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0920115Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0920584Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0920978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0921373Z     x = stage(x)
2025-11-03T16:39:56.0921730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:56.0922123Z     out = F.relu_(out)
2025-11-03T16:39:56.0922234Z 
2025-11-03T16:39:56.0922353Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0922864Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0923386Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0923807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0924206Z     x = stage(x)
2025-11-03T16:39:56.0924585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0924987Z     out = self.conv1(x)
2025-11-03T16:39:56.0925374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0925757Z     x = F.conv2d(
2025-11-03T16:39:56.0925864Z 
2025-11-03T16:39:56.0925981Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0926491Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0926967Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0927336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0927698Z     x = stage(x)
2025-11-03T16:39:56.0928030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0928392Z     out = F.relu_(out)
2025-11-03T16:39:56.0928492Z 
2025-11-03T16:39:56.0928596Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0929068Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0929558Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0929940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0930300Z     x = stage(x)
2025-11-03T16:39:56.0930627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0930999Z     out = self.conv2(out)
2025-11-03T16:39:56.0931327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0931668Z     x = F.conv2d(
2025-11-03T16:39:56.0931758Z 
2025-11-03T16:39:56.0931870Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0932328Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0932778Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0933158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0933522Z     x = stage(x)
2025-11-03T16:39:56.0933847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0934215Z     out = F.relu_(out)
2025-11-03T16:39:56.0934322Z 
2025-11-03T16:39:56.0934425Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0934892Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0935334Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0935702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0936065Z     x = stage(x)
2025-11-03T16:39:56.0936399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0936767Z     out = self.conv3(out)
2025-11-03T16:39:56.0937094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0937450Z     x = F.conv2d(
2025-11-03T16:39:56.0937547Z 
2025-11-03T16:39:56.0937651Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0938118Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0938566Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0938939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0939305Z     x = stage(x)
2025-11-03T16:39:56.0939623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:56.0939974Z     out = F.relu_(out)
2025-11-03T16:39:56.0940070Z 
2025-11-03T16:39:56.0940173Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0940610Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0941041Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0941404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0941750Z     x = stage(x)
2025-11-03T16:39:56.0942069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0942419Z     out = self.conv1(x)
2025-11-03T16:39:56.0942729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0943088Z     x = F.conv2d(
2025-11-03T16:39:56.0943174Z 
2025-11-03T16:39:56.0943281Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0943716Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0944143Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0944504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0944856Z     x = stage(x)
2025-11-03T16:39:56.0945179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0945526Z     out = F.relu_(out)
2025-11-03T16:39:56.0945632Z 
2025-11-03T16:39:56.0945732Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0946188Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0946620Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0946993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0947346Z     x = stage(x)
2025-11-03T16:39:56.0947683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0948056Z     out = self.conv2(out)
2025-11-03T16:39:56.0948381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0948705Z     x = F.conv2d(
2025-11-03T16:39:56.0948802Z 
2025-11-03T16:39:56.0948902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0949359Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0949808Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0950192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0950538Z     x = stage(x)
2025-11-03T16:39:56.0950890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0951246Z     out = F.relu_(out)
2025-11-03T16:39:56.0951343Z 
2025-11-03T16:39:56.0951451Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0951905Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0952359Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0952733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0953091Z     x = stage(x)
2025-11-03T16:39:56.0953419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0953780Z     out = self.conv3(out)
2025-11-03T16:39:56.0954116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0954465Z     x = F.conv2d(
2025-11-03T16:39:56.0954554Z 
2025-11-03T16:39:56.0954666Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0955131Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0955579Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0955952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0956315Z     x = stage(x)
2025-11-03T16:39:56.0956746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:56.0957115Z     out = F.relu_(out)
2025-11-03T16:39:56.0957214Z 
2025-11-03T16:39:56.0957317Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0957854Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0958321Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0958727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0959131Z     x = stage(x)
2025-11-03T16:39:56.0959502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0959904Z     out = self.conv1(x)
2025-11-03T16:39:56.0960259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0960625Z     x = F.conv2d(
2025-11-03T16:39:56.0960723Z 
2025-11-03T16:39:56.0960833Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0961332Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0961812Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0962216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0962598Z     x = stage(x)
2025-11-03T16:39:56.0962948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0963340Z     out = F.relu_(out)
2025-11-03T16:39:56.0963455Z 
2025-11-03T16:39:56.0963563Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0964063Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0964536Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0964942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0965354Z     x = stage(x)
2025-11-03T16:39:56.0965709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0966110Z     out = self.conv2(out)
2025-11-03T16:39:56.0966457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0966846Z     x = F.conv2d(
2025-11-03T16:39:56.0967150Z 
2025-11-03T16:39:56.0967264Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0967768Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0968251Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0968628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0968996Z     x = stage(x)
2025-11-03T16:39:56.0969332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0969703Z     out = F.relu_(out)
2025-11-03T16:39:56.0969804Z 
2025-11-03T16:39:56.0969909Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0970378Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0970830Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0971308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0971672Z     x = stage(x)
2025-11-03T16:39:56.0971997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0972367Z     out = self.conv3(out)
2025-11-03T16:39:56.0972695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0973037Z     x = F.conv2d(
2025-11-03T16:39:56.0973129Z 
2025-11-03T16:39:56.0973239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0973700Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0974150Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0974534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0974898Z     x = stage(x)
2025-11-03T16:39:56.0975221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:56.0975592Z     out = F.relu_(out)
2025-11-03T16:39:56.0975702Z 
2025-11-03T16:39:56.0975804Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0976275Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0976724Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0977095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0977470Z     x = stage(x)
2025-11-03T16:39:56.0977794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:39:56.0978159Z     out = self.conv1(x)
2025-11-03T16:39:56.0978478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0978801Z     x = F.conv2d(
2025-11-03T16:39:56.0978896Z 
2025-11-03T16:39:56.0978995Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0979502Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0979941Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0980306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0980658Z     x = stage(x)
2025-11-03T16:39:56.0981020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:39:56.0981377Z     out = F.relu_(out)
2025-11-03T16:39:56.0981474Z 
2025-11-03T16:39:56.0981587Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0982035Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0982469Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0982841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0983194Z     x = stage(x)
2025-11-03T16:39:56.0983521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:39:56.0983874Z     out = self.conv2(out)
2025-11-03T16:39:56.0984196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0984537Z     x = F.conv2d(
2025-11-03T16:39:56.0984625Z 
2025-11-03T16:39:56.0984734Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0985213Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0985650Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0986029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0986380Z     x = stage(x)
2025-11-03T16:39:56.0986702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:39:56.0987051Z     out = F.relu_(out)
2025-11-03T16:39:56.0987158Z 
2025-11-03T16:39:56.0987260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0987715Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0988169Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0988539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0988890Z     x = stage(x)
2025-11-03T16:39:56.0989220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:39:56.0989580Z     out = self.conv3(out)
2025-11-03T16:39:56.0989905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:39:56.0990229Z     x = F.conv2d(
2025-11-03T16:39:56.0990326Z 
2025-11-03T16:39:56.0990427Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:39:56.0990879Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:39:56.0991317Z     features = self.backbone(images.tensor)
2025-11-03T16:39:56.0991690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:39:56.0992035Z     x = stage(x)
2025-11-03T16:39:56.0992360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:39:56.0992744Z     out = F.relu_(out)
2025-11-03T16:39:56.0992842Z 
2025-11-03T16:40:03.0635500Z cudagraph partition due to non gpu ops
2025-11-03T16:40:03.0635845Z cudagraph partition due to non gpu ops
2025-11-03T16:40:03.0636085Z cudagraph partition due to non gpu ops
2025-11-03T16:40:03.0636317Z cudagraph partition due to non gpu ops
2025-11-03T16:40:03.0636585Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:03.0637119Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:40:03.0638361Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:40:03.0638872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:40:03.0639335Z     return torch.as_tensor(x, device=device)
2025-11-03T16:40:03.0639493Z 
2025-11-03T16:40:03.0639623Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:03.0640120Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:40:03.0640614Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:40:03.0640802Z 
2025-11-03T16:40:03.7195286Z cudagraph partition due to non gpu ops
2025-11-03T16:40:03.7195626Z cudagraph partition due to non gpu ops
2025-11-03T16:40:03.7195901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:03.7196547Z    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
2025-11-03T16:40:03.7197567Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:40:03.7198259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:40:03.7198674Z     return torch.cat(tensors, dim)
2025-11-03T16:40:03.7198836Z 
2025-11-03T16:40:04.3312740Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:04.3315228Z    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
2025-11-03T16:40:04.3315757Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:40:04.3316193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:40:04.3316598Z     return roi_align(
2025-11-03T16:40:04.3316970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:40:04.3317396Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:40:04.3317559Z 
2025-11-03T16:40:04.3317682Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:04.3318517Z    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
2025-11-03T16:40:04.3319042Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:40:04.3319459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:40:04.3319834Z     return roi_align(
2025-11-03T16:40:04.3320194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:40:04.3320583Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:40:04.3320745Z 
2025-11-03T16:40:08.8020480Z cudagraph partition due to non gpu ops
2025-11-03T16:40:08.8021050Z cudagraph partition due to non gpu ops
2025-11-03T16:40:08.8021321Z cudagraph partition due to non gpu ops
2025-11-03T16:40:08.8021575Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8022282Z    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
2025-11-03T16:40:08.8023156Z     return self.res5(x)
2025-11-03T16:40:08.8023542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:40:08.8023934Z     out = self.conv1(x)
2025-11-03T16:40:08.8024271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:40:08.8024631Z     x = F.conv2d(
2025-11-03T16:40:08.8024742Z 
2025-11-03T16:40:08.8024924Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8025449Z    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
2025-11-03T16:40:08.8025925Z     return self.res5(x)
2025-11-03T16:40:08.8026280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:40:08.8026657Z     out = F.relu_(out)
2025-11-03T16:40:08.8026764Z 
2025-11-03T16:40:08.8026877Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8027396Z    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
2025-11-03T16:40:08.8027860Z     return self.res5(x)
2025-11-03T16:40:08.8028221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:40:08.8028603Z     out = self.conv2(out)
2025-11-03T16:40:08.8028944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:40:08.8029377Z     x = F.conv2d(
2025-11-03T16:40:08.8029477Z 
2025-11-03T16:40:08.8029588Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8030101Z    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
2025-11-03T16:40:08.8030631Z     return self.res5(x)
2025-11-03T16:40:08.8030979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:40:08.8031349Z     out = F.relu_(out)
2025-11-03T16:40:08.8031451Z 
2025-11-03T16:40:08.8031556Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8032052Z    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
2025-11-03T16:40:08.8032513Z     return self.res5(x)
2025-11-03T16:40:08.8032863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:40:08.8033228Z     out = self.conv3(out)
2025-11-03T16:40:08.8033560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:40:08.8033904Z     x = F.conv2d(
2025-11-03T16:40:08.8033996Z 
2025-11-03T16:40:08.8034108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8034623Z    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
2025-11-03T16:40:08.8035099Z     return self.res5(x)
2025-11-03T16:40:08.8035475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:40:08.8035876Z     shortcut = self.shortcut(x)
2025-11-03T16:40:08.8036248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:40:08.8036609Z     x = F.conv2d(
2025-11-03T16:40:08.8036707Z 
2025-11-03T16:40:08.8036817Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8037336Z    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
2025-11-03T16:40:08.8038045Z     return self.res5(x)
2025-11-03T16:40:08.8038427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:40:08.8038830Z     out = self.conv1(x)
2025-11-03T16:40:08.8039173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:40:08.8039567Z     x = F.conv2d(
2025-11-03T16:40:08.8039664Z 
2025-11-03T16:40:08.8039786Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8040314Z    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
2025-11-03T16:40:08.8040792Z     return self.res5(x)
2025-11-03T16:40:08.8041170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:40:08.8041567Z     out = F.relu_(out)
2025-11-03T16:40:08.8041675Z 
2025-11-03T16:40:08.8041793Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8042316Z    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
2025-11-03T16:40:08.8042792Z     return self.res5(x)
2025-11-03T16:40:08.8043169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:40:08.8043569Z     out = self.conv2(out)
2025-11-03T16:40:08.8043962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:40:08.8044326Z     x = F.conv2d(
2025-11-03T16:40:08.8044446Z 
2025-11-03T16:40:08.8044557Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8045084Z    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
2025-11-03T16:40:08.8045564Z     return self.res5(x)
2025-11-03T16:40:08.8045929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:40:08.8046327Z     out = F.relu_(out)
2025-11-03T16:40:08.8046433Z 
2025-11-03T16:40:08.8046540Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8047066Z    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
2025-11-03T16:40:08.8047550Z     return self.res5(x)
2025-11-03T16:40:08.8047910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:40:08.8048308Z     out = self.conv3(out)
2025-11-03T16:40:08.8048652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:40:08.8049008Z     x = F.conv2d(
2025-11-03T16:40:08.8049111Z 
2025-11-03T16:40:08.8049220Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8049730Z    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
2025-11-03T16:40:08.8050175Z     return self.res5(x)
2025-11-03T16:40:08.8050503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:40:08.8050863Z     out = F.relu_(out)
2025-11-03T16:40:08.8050968Z 
2025-11-03T16:40:08.8051071Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8051550Z    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
2025-11-03T16:40:08.8052019Z     return self.res5(x)
2025-11-03T16:40:08.8052352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:40:08.8052709Z     out = self.conv1(x)
2025-11-03T16:40:08.8053026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:40:08.8053359Z     x = F.conv2d(
2025-11-03T16:40:08.8053467Z 
2025-11-03T16:40:08.8053565Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8054047Z    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
2025-11-03T16:40:08.8054489Z     return self.res5(x)
2025-11-03T16:40:08.8054820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:40:08.8055174Z     out = F.relu_(out)
2025-11-03T16:40:08.8055270Z 
2025-11-03T16:40:08.8055369Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8055849Z    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
2025-11-03T16:40:08.8056291Z     return self.res5(x)
2025-11-03T16:40:08.8056630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:40:08.8056994Z     out = self.conv2(out)
2025-11-03T16:40:08.8057367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:40:08.8057701Z     x = F.conv2d(
2025-11-03T16:40:08.8057789Z 
2025-11-03T16:40:08.8057896Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8058375Z    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
2025-11-03T16:40:08.8058811Z     return self.res5(x)
2025-11-03T16:40:08.8059147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:40:08.8059505Z     out = F.relu_(out)
2025-11-03T16:40:08.8059600Z 
2025-11-03T16:40:08.8059710Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8060186Z    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
2025-11-03T16:40:08.8060623Z     return self.res5(x)
2025-11-03T16:40:08.8060962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:40:08.8061327Z     out = self.conv3(out)
2025-11-03T16:40:08.8061646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:40:08.8062005Z     x = F.conv2d(
2025-11-03T16:40:08.8062102Z 
2025-11-03T16:40:08.8062201Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:08.8062681Z    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
2025-11-03T16:40:08.8063128Z     return self.res5(x)
2025-11-03T16:40:08.8063456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:40:08.8063816Z     out = F.relu_(out)
2025-11-03T16:40:08.8063921Z 
2025-11-03T16:40:14.1213118Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:14.1218818Z    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
2025-11-03T16:40:14.1220953Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:40:14.1222087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:40:14.1222668Z     scores = self.cls_score(x)
2025-11-03T16:40:14.1223158Z 
2025-11-03T16:40:14.1223722Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:14.1224424Z    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
2025-11-03T16:40:14.1225435Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:40:14.1225975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:40:14.1226440Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:40:14.1226608Z 
2025-11-03T16:40:15.6347079Z cudagraph partition due to non gpu ops
2025-11-03T16:40:15.6347656Z cudagraph partition due to non gpu ops
2025-11-03T16:40:15.6348983Z cudagraph partition due to non gpu ops
2025-11-03T16:40:15.6349505Z cudagraph partition due to non gpu ops
2025-11-03T16:40:15.6349805Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:15.6350363Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:40:15.6350904Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:40:15.6351395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:40:15.6351931Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:40:15.6352818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:40:15.6353204Z     return torch.cat(tensors, dim)
2025-11-03T16:40:15.6353347Z 
2025-11-03T16:40:15.6353465Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:15.6353953Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:40:15.6354410Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:40:15.6354868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:40:15.6355338Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:40:15.6355817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:40:15.6356327Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:40:15.6356500Z 
2025-11-03T16:40:17.9688835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:17.9693265Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:40:17.9695892Z     max_coordinate = boxes.max()
2025-11-03T16:40:17.9696045Z 
2025-11-03T16:40:17.9696363Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:17.9696819Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:40:18.7052546Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:40:18.7052822Z 
2025-11-03T16:40:18.7052967Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:18.7054379Z    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
2025-11-03T16:40:18.7055063Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:40:18.7055291Z 
2025-11-03T16:40:18.7055416Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:18.7056004Z    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
2025-11-03T16:40:18.7056964Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:40:18.7057171Z 
2025-11-03T16:40:18.7057297Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:40:18.7057862Z    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
2025-11-03T16:40:18.7058528Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:40:18.7058743Z 
2025-11-03T16:40:32.4956887Z Compilation time (from dynamo_timed): 38.174491521
2025-11-03T16:40:32.4957176Z pass
2025-11-03T16:40:32.4957528Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:40:32.4958498Z TIMING: gc:0.05086 entire_frame_compile:38.17449 _recursive_pre_grad_passes:0.02951 async_compile.wait:4.8654 backend_compile:22.6058 _recursive_joint_graph_passes:0.50607 _recursive_post_grad_passes:0.10107 code_gen:8.03479 inductor_compile:9.85238 total_wall_time:38.17449
2025-11-03T16:40:32.4959687Z 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
2025-11-03T16:40:32.4960658Z Dynamo produced 53 graphs covering 606 ops with 42 graph breaks (6 unique)
2025-11-03T16:40:35.6351173Z /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.
2025-11-03T16:40:35.6352744Z   import pynvml  # type: ignore[import]
2025-11-03T16:40:37.8673878Z 
2025-11-03T16:40:43.8172779Z loading model: 0it [00:00, ?it/s]W1103 16:40:43.815000 19372 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.
2025-11-03T16:40:48.0995783Z 
2025-11-03T16:40:48.0999291Z loading model: 0it [00:10, ?it/s]
2025-11-03T16:40:48.1004974Z cpu  eval  detectron2_fasterrcnn_r_50_dc5     
2025-11-03T16:41:02.6876435Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_dc5. Setting accuracy check to cosine
2025-11-03T16:41:02.7369449Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:41:17.0981584Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:41:31.5330237Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:41:49.7543017Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7547295Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7552394Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7554201Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7554452Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7554687Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7554926Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7555194Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7555428Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7555653Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7555899Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7556145Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7556375Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7556584Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7557193Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7557412Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7557634Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7557955Z cudagraph partition due to non gpu ops
2025-11-03T16:41:49.7558239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7558839Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7559520Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7560110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:41:49.7560530Z     x = self.stem(x)
2025-11-03T16:41:49.7560919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:41:49.7561325Z     x = self.conv1(x)
2025-11-03T16:41:49.7561681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7562057Z     x = F.conv2d(
2025-11-03T16:41:49.7562160Z 
2025-11-03T16:41:49.7562275Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7562805Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7563293Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7563716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:41:49.7564119Z     x = self.stem(x)
2025-11-03T16:41:49.7564593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:41:49.7564995Z     x = F.relu_(x)
2025-11-03T16:41:49.7565099Z 
2025-11-03T16:41:49.7565222Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7565737Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7566226Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7566651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:41:49.7567373Z     x = self.stem(x)
2025-11-03T16:41:49.7567743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:41:49.7568206Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:41:49.7568385Z 
2025-11-03T16:41:49.7568502Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7569041Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7569523Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7569935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7570338Z     x = stage(x)
2025-11-03T16:41:49.7570697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7571122Z     out = self.conv1(x)
2025-11-03T16:41:49.7571479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7571847Z     x = F.conv2d(
2025-11-03T16:41:49.7571948Z 
2025-11-03T16:41:49.7572065Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7572566Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7573048Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7573511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7573907Z     x = stage(x)
2025-11-03T16:41:49.7574269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7574680Z     out = F.relu_(out)
2025-11-03T16:41:49.7574796Z 
2025-11-03T16:41:49.7574907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7575439Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7575926Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7576332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7576719Z     x = stage(x)
2025-11-03T16:41:49.7577055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7577435Z     out = self.conv2(out)
2025-11-03T16:41:49.7577806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7578153Z     x = F.conv2d(
2025-11-03T16:41:49.7578246Z 
2025-11-03T16:41:49.7578358Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7578827Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7579275Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7579717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7580089Z     x = stage(x)
2025-11-03T16:41:49.7580424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7580790Z     out = F.relu_(out)
2025-11-03T16:41:49.7580892Z 
2025-11-03T16:41:49.7580997Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7581475Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7581949Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7582351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7582737Z     x = stage(x)
2025-11-03T16:41:49.7583092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7583464Z     out = self.conv3(out)
2025-11-03T16:41:49.7583803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7584148Z     x = F.conv2d(
2025-11-03T16:41:49.7584240Z 
2025-11-03T16:41:49.7584344Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7584833Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7585299Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7585681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7586043Z     x = stage(x)
2025-11-03T16:41:49.7586371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:41:49.7586747Z     shortcut = self.shortcut(x)
2025-11-03T16:41:49.7587094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7587436Z     x = F.conv2d(
2025-11-03T16:41:49.7587550Z 
2025-11-03T16:41:49.7587652Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7588196Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7588697Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7589086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7589519Z     x = stage(x)
2025-11-03T16:41:49.7589846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7590217Z     out = self.conv1(x)
2025-11-03T16:41:49.7590549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7590891Z     x = F.conv2d(
2025-11-03T16:41:49.7590983Z 
2025-11-03T16:41:49.7591094Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7591565Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7592016Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7592398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7592783Z     x = stage(x)
2025-11-03T16:41:49.7593131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7593521Z     out = F.relu_(out)
2025-11-03T16:41:49.7593636Z 
2025-11-03T16:41:49.7593776Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7594274Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7594742Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7595139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7595521Z     x = stage(x)
2025-11-03T16:41:49.7595870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7596259Z     out = self.conv2(out)
2025-11-03T16:41:49.7596611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7596967Z     x = F.conv2d(
2025-11-03T16:41:49.7597069Z 
2025-11-03T16:41:49.7597179Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7597677Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7598321Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7598738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7599149Z     x = stage(x)
2025-11-03T16:41:49.7599500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7599899Z     out = F.relu_(out)
2025-11-03T16:41:49.7600008Z 
2025-11-03T16:41:49.7600129Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7600620Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7601101Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7601507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7601905Z     x = stage(x)
2025-11-03T16:41:49.7602260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7602666Z     out = self.conv3(out)
2025-11-03T16:41:49.7603020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7603379Z     x = F.conv2d(
2025-11-03T16:41:49.7603477Z 
2025-11-03T16:41:49.7603593Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7604075Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7604568Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7604970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7605353Z     x = stage(x)
2025-11-03T16:41:49.7605704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7606083Z     out = F.relu_(out)
2025-11-03T16:41:49.7606189Z 
2025-11-03T16:41:49.7606288Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7606739Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7607172Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7607540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7607886Z     x = stage(x)
2025-11-03T16:41:49.7608245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7608602Z     out = self.conv1(x)
2025-11-03T16:41:49.7608920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7609249Z     x = F.conv2d(
2025-11-03T16:41:49.7609346Z 
2025-11-03T16:41:49.7609446Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7609898Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7610379Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7610767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7611145Z     x = stage(x)
2025-11-03T16:41:49.7611498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7611883Z     out = F.relu_(out)
2025-11-03T16:41:49.7611985Z 
2025-11-03T16:41:49.7612097Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7612573Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7613023Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7613420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7613797Z     x = stage(x)
2025-11-03T16:41:49.7614144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7614531Z     out = self.conv2(out)
2025-11-03T16:41:49.7614870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7615224Z     x = F.conv2d(
2025-11-03T16:41:49.7615318Z 
2025-11-03T16:41:49.7615431Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7615914Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7616387Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7616788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7617156Z     x = stage(x)
2025-11-03T16:41:49.7617503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7617888Z     out = F.relu_(out)
2025-11-03T16:41:49.7617988Z 
2025-11-03T16:41:49.7618110Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7618601Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7619066Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7619448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7619816Z     x = stage(x)
2025-11-03T16:41:49.7620143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7620517Z     out = self.conv3(out)
2025-11-03T16:41:49.7620852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7621202Z     x = F.conv2d(
2025-11-03T16:41:49.7621291Z 
2025-11-03T16:41:49.7621391Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7621848Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7622318Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7622688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7623038Z     x = stage(x)
2025-11-03T16:41:49.7623355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7623709Z     out = F.relu_(out)
2025-11-03T16:41:49.7623815Z 
2025-11-03T16:41:49.7623914Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7624366Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7624801Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7625163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7625515Z     x = stage(x)
2025-11-03T16:41:49.7625841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7626195Z     out = self.conv1(x)
2025-11-03T16:41:49.7626508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7626845Z     x = F.conv2d(
2025-11-03T16:41:49.7626941Z 
2025-11-03T16:41:49.7627042Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7627495Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7627933Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7628294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7628651Z     x = stage(x)
2025-11-03T16:41:49.7628980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7629341Z     out = F.relu_(out)
2025-11-03T16:41:49.7629437Z 
2025-11-03T16:41:49.7629545Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7629989Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7630451Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7630819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7631171Z     x = stage(x)
2025-11-03T16:41:49.7631490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7631869Z     out = self.conv2(out)
2025-11-03T16:41:49.7632202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7632537Z     x = F.conv2d(
2025-11-03T16:41:49.7632626Z 
2025-11-03T16:41:49.7632734Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7633179Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7633616Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7633984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7634336Z     x = stage(x)
2025-11-03T16:41:49.7634648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7635011Z     out = F.relu_(out)
2025-11-03T16:41:49.7635118Z 
2025-11-03T16:41:49.7635221Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7635718Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7636169Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7636547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7636915Z     x = stage(x)
2025-11-03T16:41:49.7637260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7637635Z     out = self.conv3(out)
2025-11-03T16:41:49.7638111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7638483Z     x = F.conv2d(
2025-11-03T16:41:49.7638597Z 
2025-11-03T16:41:49.7638709Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7639219Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7639676Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7640056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7640414Z     x = stage(x)
2025-11-03T16:41:49.7640746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:41:49.7641129Z     shortcut = self.shortcut(x)
2025-11-03T16:41:49.7641473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7641812Z     x = F.conv2d(
2025-11-03T16:41:49.7641909Z 
2025-11-03T16:41:49.7642014Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7642483Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7642935Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7643314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7643670Z     x = stage(x)
2025-11-03T16:41:49.7644049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7644420Z     out = self.conv1(x)
2025-11-03T16:41:49.7644747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7645082Z     x = F.conv2d(
2025-11-03T16:41:49.7645183Z 
2025-11-03T16:41:49.7645286Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7645811Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7646271Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7646654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7647006Z     x = stage(x)
2025-11-03T16:41:49.7647342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7647714Z     out = F.relu_(out)
2025-11-03T16:41:49.7647813Z 
2025-11-03T16:41:49.7647926Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7648392Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7648841Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7649214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7649571Z     x = stage(x)
2025-11-03T16:41:49.7649930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7650291Z     out = self.conv2(out)
2025-11-03T16:41:49.7650611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7650948Z     x = F.conv2d(
2025-11-03T16:41:49.7651037Z 
2025-11-03T16:41:49.7651147Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7651599Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7652023Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7652392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7652750Z     x = stage(x)
2025-11-03T16:41:49.7653075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7653432Z     out = F.relu_(out)
2025-11-03T16:41:49.7653529Z 
2025-11-03T16:41:49.7653631Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7654086Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7654526Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7654893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7655246Z     x = stage(x)
2025-11-03T16:41:49.7655565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7655922Z     out = self.conv3(out)
2025-11-03T16:41:49.7656249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7656583Z     x = F.conv2d(
2025-11-03T16:41:49.7656674Z 
2025-11-03T16:41:49.7656775Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7657229Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7657688Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7658078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7658448Z     x = stage(x)
2025-11-03T16:41:49.7658782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7659155Z     out = F.relu_(out)
2025-11-03T16:41:49.7659296Z 
2025-11-03T16:41:49.7659400Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7659861Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7660306Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7660672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7661028Z     x = stage(x)
2025-11-03T16:41:49.7661355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7661717Z     out = self.conv1(x)
2025-11-03T16:41:49.7662034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7662370Z     x = F.conv2d(
2025-11-03T16:41:49.7662466Z 
2025-11-03T16:41:49.7662570Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7663064Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7663502Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7663871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7664239Z     x = stage(x)
2025-11-03T16:41:49.7664571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7664934Z     out = F.relu_(out)
2025-11-03T16:41:49.7665035Z 
2025-11-03T16:41:49.7665145Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7665601Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7666057Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7666437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7666807Z     x = stage(x)
2025-11-03T16:41:49.7667327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7667712Z     out = self.conv2(out)
2025-11-03T16:41:49.7668055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7668408Z     x = F.conv2d(
2025-11-03T16:41:49.7668499Z 
2025-11-03T16:41:49.7668613Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7669083Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7669542Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7669934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7670303Z     x = stage(x)
2025-11-03T16:41:49.7670635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7670997Z     out = F.relu_(out)
2025-11-03T16:41:49.7671101Z 
2025-11-03T16:41:49.7671204Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7671735Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7672180Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7672549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7672906Z     x = stage(x)
2025-11-03T16:41:49.7673241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7673655Z     out = self.conv3(out)
2025-11-03T16:41:49.7674001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7674347Z     x = F.conv2d(
2025-11-03T16:41:49.7674448Z 
2025-11-03T16:41:49.7674551Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7675024Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7675482Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7675868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7676231Z     x = stage(x)
2025-11-03T16:41:49.7676570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7676942Z     out = F.relu_(out)
2025-11-03T16:41:49.7677042Z 
2025-11-03T16:41:49.7677153Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7677675Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7678235Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7678664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7679069Z     x = stage(x)
2025-11-03T16:41:49.7679443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7679839Z     out = self.conv1(x)
2025-11-03T16:41:49.7680179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7680528Z     x = F.conv2d(
2025-11-03T16:41:49.7680621Z 
2025-11-03T16:41:49.7680736Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7681215Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7681658Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7682041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7682410Z     x = stage(x)
2025-11-03T16:41:49.7682743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7683102Z     out = F.relu_(out)
2025-11-03T16:41:49.7683213Z 
2025-11-03T16:41:49.7683315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7683784Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7684237Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7684625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7684981Z     x = stage(x)
2025-11-03T16:41:49.7685318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7685721Z     out = self.conv2(out)
2025-11-03T16:41:49.7686061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7686400Z     x = F.conv2d(
2025-11-03T16:41:49.7686490Z 
2025-11-03T16:41:49.7686591Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7687055Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7687535Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7687912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7688266Z     x = stage(x)
2025-11-03T16:41:49.7688590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7688953Z     out = F.relu_(out)
2025-11-03T16:41:49.7689052Z 
2025-11-03T16:41:49.7689161Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7689619Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7690054Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7690426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7690782Z     x = stage(x)
2025-11-03T16:41:49.7691109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7691524Z     out = self.conv3(out)
2025-11-03T16:41:49.7691841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7692175Z     x = F.conv2d(
2025-11-03T16:41:49.7692263Z 
2025-11-03T16:41:49.7692375Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7692825Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7693252Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7693619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7693973Z     x = stage(x)
2025-11-03T16:41:49.7694300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7694652Z     out = F.relu_(out)
2025-11-03T16:41:49.7694751Z 
2025-11-03T16:41:49.7694852Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7695301Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7695740Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7696099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7696448Z     x = stage(x)
2025-11-03T16:41:49.7696762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7697121Z     out = self.conv1(x)
2025-11-03T16:41:49.7697440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7697776Z     x = F.conv2d(
2025-11-03T16:41:49.7697863Z 
2025-11-03T16:41:49.7697977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7698416Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7698839Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7699225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7699571Z     x = stage(x)
2025-11-03T16:41:49.7699883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7700230Z     out = F.relu_(out)
2025-11-03T16:41:49.7700333Z 
2025-11-03T16:41:49.7700435Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7700900Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7701335Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7701696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7702047Z     x = stage(x)
2025-11-03T16:41:49.7702368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7702730Z     out = self.conv2(out)
2025-11-03T16:41:49.7703046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7703376Z     x = F.conv2d(
2025-11-03T16:41:49.7703471Z 
2025-11-03T16:41:49.7703573Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7704022Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7704455Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7704848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7705192Z     x = stage(x)
2025-11-03T16:41:49.7705505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7705849Z     out = F.relu_(out)
2025-11-03T16:41:49.7705945Z 
2025-11-03T16:41:49.7706050Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7706480Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7706905Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7707264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7707613Z     x = stage(x)
2025-11-03T16:41:49.7707922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7708278Z     out = self.conv3(out)
2025-11-03T16:41:49.7708595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7708925Z     x = F.conv2d(
2025-11-03T16:41:49.7709012Z 
2025-11-03T16:41:49.7709119Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7709556Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7710018Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7710377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7710728Z     x = stage(x)
2025-11-03T16:41:49.7711046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:41:49.7711396Z     shortcut = self.shortcut(x)
2025-11-03T16:41:49.7711729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7712084Z     x = F.conv2d(
2025-11-03T16:41:49.7712195Z 
2025-11-03T16:41:49.7712303Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7712748Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7713182Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7713554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7713934Z     x = stage(x)
2025-11-03T16:41:49.7714263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7714622Z     out = self.conv1(x)
2025-11-03T16:41:49.7714938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7715270Z     x = F.conv2d(
2025-11-03T16:41:49.7715357Z 
2025-11-03T16:41:49.7715466Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7715920Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7716348Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7716721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7717079Z     x = stage(x)
2025-11-03T16:41:49.7717407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7717761Z     out = F.relu_(out)
2025-11-03T16:41:49.7717947Z 
2025-11-03T16:41:49.7718108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7718592Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7719153Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7719566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7719952Z     x = stage(x)
2025-11-03T16:41:49.7720311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7720672Z     out = self.conv2(out)
2025-11-03T16:41:49.7732908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7733307Z     x = F.conv2d(
2025-11-03T16:41:49.7733408Z 
2025-11-03T16:41:49.7733529Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7734019Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7734478Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7734878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7735245Z     x = stage(x)
2025-11-03T16:41:49.7735582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7735942Z     out = F.relu_(out)
2025-11-03T16:41:49.7736060Z 
2025-11-03T16:41:49.7736166Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7736636Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7737089Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7737472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7737821Z     x = stage(x)
2025-11-03T16:41:49.7738154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7738641Z     out = self.conv3(out)
2025-11-03T16:41:49.7738977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7739316Z     x = F.conv2d(
2025-11-03T16:41:49.7739420Z 
2025-11-03T16:41:49.7739527Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7740004Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7740516Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7740896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7741245Z     x = stage(x)
2025-11-03T16:41:49.7741578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7741950Z     out = F.relu_(out)
2025-11-03T16:41:49.7742054Z 
2025-11-03T16:41:49.7742168Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7742642Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7743089Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7743482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7743844Z     x = stage(x)
2025-11-03T16:41:49.7744227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7744592Z     out = self.conv1(x)
2025-11-03T16:41:49.7744918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7745276Z     x = F.conv2d(
2025-11-03T16:41:49.7745367Z 
2025-11-03T16:41:49.7745480Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7745942Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7746379Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7746759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7747123Z     x = stage(x)
2025-11-03T16:41:49.7747456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7747823Z     out = F.relu_(out)
2025-11-03T16:41:49.7747925Z 
2025-11-03T16:41:49.7748028Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7748490Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7748938Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7749316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7749673Z     x = stage(x)
2025-11-03T16:41:49.7749998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7750367Z     out = self.conv2(out)
2025-11-03T16:41:49.7750699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7751037Z     x = F.conv2d(
2025-11-03T16:41:49.7751129Z 
2025-11-03T16:41:49.7751233Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7751698Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7752181Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7752557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7752912Z     x = stage(x)
2025-11-03T16:41:49.7753232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7753594Z     out = F.relu_(out)
2025-11-03T16:41:49.7753705Z 
2025-11-03T16:41:49.7753824Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7754284Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7754722Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7755091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7755466Z     x = stage(x)
2025-11-03T16:41:49.7755806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7756180Z     out = self.conv3(out)
2025-11-03T16:41:49.7756511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7756859Z     x = F.conv2d(
2025-11-03T16:41:49.7756962Z 
2025-11-03T16:41:49.7757066Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7757539Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7758166Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7758550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7758950Z     x = stage(x)
2025-11-03T16:41:49.7759327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7759739Z     out = F.relu_(out)
2025-11-03T16:41:49.7759852Z 
2025-11-03T16:41:49.7759975Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7760481Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7760993Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7761415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7761815Z     x = stage(x)
2025-11-03T16:41:49.7762179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7762587Z     out = self.conv1(x)
2025-11-03T16:41:49.7762943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7763316Z     x = F.conv2d(
2025-11-03T16:41:49.7763414Z 
2025-11-03T16:41:49.7763532Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7764028Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7764516Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7764929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7765326Z     x = stage(x)
2025-11-03T16:41:49.7765687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7766075Z     out = F.relu_(out)
2025-11-03T16:41:49.7766191Z 
2025-11-03T16:41:49.7766301Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7766800Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7767437Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7767845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7768300Z     x = stage(x)
2025-11-03T16:41:49.7768658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7769142Z     out = self.conv2(out)
2025-11-03T16:41:49.7769507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7769867Z     x = F.conv2d(
2025-11-03T16:41:49.7769976Z 
2025-11-03T16:41:49.7770087Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7770598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7771081Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7771490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7771875Z     x = stage(x)
2025-11-03T16:41:49.7772234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7772635Z     out = F.relu_(out)
2025-11-03T16:41:49.7772743Z 
2025-11-03T16:41:49.7772865Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7773435Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7773915Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7774325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7774727Z     x = stage(x)
2025-11-03T16:41:49.7775082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7775470Z     out = self.conv3(out)
2025-11-03T16:41:49.7775826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7776162Z     x = F.conv2d(
2025-11-03T16:41:49.7776254Z 
2025-11-03T16:41:49.7776364Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7776830Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7777260Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7777644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7778018Z     x = stage(x)
2025-11-03T16:41:49.7778351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7778717Z     out = F.relu_(out)
2025-11-03T16:41:49.7778832Z 
2025-11-03T16:41:49.7778935Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7779404Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7779867Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7780253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7780621Z     x = stage(x)
2025-11-03T16:41:49.7780978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7781372Z     out = self.conv1(x)
2025-11-03T16:41:49.7781762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7782124Z     x = F.conv2d(
2025-11-03T16:41:49.7782219Z 
2025-11-03T16:41:49.7782328Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7782822Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7783295Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7783771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7784169Z     x = stage(x)
2025-11-03T16:41:49.7784503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7784870Z     out = F.relu_(out)
2025-11-03T16:41:49.7784971Z 
2025-11-03T16:41:49.7785084Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7785570Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7786012Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7786397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7786762Z     x = stage(x)
2025-11-03T16:41:49.7787104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7787482Z     out = self.conv2(out)
2025-11-03T16:41:49.7787846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7788187Z     x = F.conv2d(
2025-11-03T16:41:49.7788286Z 
2025-11-03T16:41:49.7788391Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7788857Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7789301Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7789674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7790042Z     x = stage(x)
2025-11-03T16:41:49.7790376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7790741Z     out = F.relu_(out)
2025-11-03T16:41:49.7790841Z 
2025-11-03T16:41:49.7790948Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7791417Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7791863Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7792241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7792605Z     x = stage(x)
2025-11-03T16:41:49.7792927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7793300Z     out = self.conv3(out)
2025-11-03T16:41:49.7793630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7793973Z     x = F.conv2d(
2025-11-03T16:41:49.7794065Z 
2025-11-03T16:41:49.7794174Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7794637Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7795087Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7795466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7795855Z     x = stage(x)
2025-11-03T16:41:49.7796179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7796546Z     out = F.relu_(out)
2025-11-03T16:41:49.7796653Z 
2025-11-03T16:41:49.7796756Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7797222Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7797725Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7798269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7798680Z     x = stage(x)
2025-11-03T16:41:49.7799053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7799443Z     out = self.conv1(x)
2025-11-03T16:41:49.7799772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7800111Z     x = F.conv2d(
2025-11-03T16:41:49.7800209Z 
2025-11-03T16:41:49.7800314Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7800781Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7801235Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7801661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7802027Z     x = stage(x)
2025-11-03T16:41:49.7802359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7802729Z     out = F.relu_(out)
2025-11-03T16:41:49.7802831Z 
2025-11-03T16:41:49.7802939Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7803398Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7803851Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7804235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7804603Z     x = stage(x)
2025-11-03T16:41:49.7804938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7805303Z     out = self.conv2(out)
2025-11-03T16:41:49.7805641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7805986Z     x = F.conv2d(
2025-11-03T16:41:49.7806077Z 
2025-11-03T16:41:49.7806191Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7806655Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7807116Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7807488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7807845Z     x = stage(x)
2025-11-03T16:41:49.7808174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7808525Z     out = F.relu_(out)
2025-11-03T16:41:49.7808634Z 
2025-11-03T16:41:49.7808734Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7809189Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7809653Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7810021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7810367Z     x = stage(x)
2025-11-03T16:41:49.7810689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7811047Z     out = self.conv3(out)
2025-11-03T16:41:49.7811371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7811708Z     x = F.conv2d(
2025-11-03T16:41:49.7811805Z 
2025-11-03T16:41:49.7811907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7812361Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7812795Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7813164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7813513Z     x = stage(x)
2025-11-03T16:41:49.7813836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7814192Z     out = F.relu_(out)
2025-11-03T16:41:49.7814287Z 
2025-11-03T16:41:49.7814394Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7814849Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7815302Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7815677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7816029Z     x = stage(x)
2025-11-03T16:41:49.7816350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7816704Z     out = self.conv1(x)
2025-11-03T16:41:49.7817028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7817364Z     x = F.conv2d(
2025-11-03T16:41:49.7817450Z 
2025-11-03T16:41:49.7817557Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7818015Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7818446Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7818818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7819170Z     x = stage(x)
2025-11-03T16:41:49.7819493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7819844Z     out = F.relu_(out)
2025-11-03T16:41:49.7819941Z 
2025-11-03T16:41:49.7820042Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7820498Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7820933Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7821302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7821653Z     x = stage(x)
2025-11-03T16:41:49.7821979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7822342Z     out = self.conv2(out)
2025-11-03T16:41:49.7822667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7823021Z     x = F.conv2d(
2025-11-03T16:41:49.7823110Z 
2025-11-03T16:41:49.7823211Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7823670Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7824105Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7824477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7824848Z     x = stage(x)
2025-11-03T16:41:49.7825168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7825526Z     out = F.relu_(out)
2025-11-03T16:41:49.7825629Z 
2025-11-03T16:41:49.7825729Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7826178Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7826604Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7826976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7827320Z     x = stage(x)
2025-11-03T16:41:49.7827630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7827978Z     out = self.conv3(out)
2025-11-03T16:41:49.7828283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7828640Z     x = F.conv2d(
2025-11-03T16:41:49.7828735Z 
2025-11-03T16:41:49.7828833Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7829278Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7829710Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7830062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7830407Z     x = stage(x)
2025-11-03T16:41:49.7830718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:41:49.7831075Z     shortcut = self.shortcut(x)
2025-11-03T16:41:49.7831400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7831726Z     x = F.conv2d(
2025-11-03T16:41:49.7831820Z 
2025-11-03T16:41:49.7831920Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7832363Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7832786Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7833139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7833483Z     x = stage(x)
2025-11-03T16:41:49.7833800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7834146Z     out = self.conv1(x)
2025-11-03T16:41:49.7834454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7834771Z     x = F.conv2d(
2025-11-03T16:41:49.7834864Z 
2025-11-03T16:41:49.7834964Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7835410Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7835836Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7836204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7836549Z     x = stage(x)
2025-11-03T16:41:49.7836863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7837213Z     out = F.relu_(out)
2025-11-03T16:41:49.7837309Z 
2025-11-03T16:41:49.7837417Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7838030Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7838833Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7839520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7840167Z     x = stage(x)
2025-11-03T16:41:49.7840737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7841137Z     out = self.conv2(out)
2025-11-03T16:41:49.7841493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7841854Z     x = F.conv2d(
2025-11-03T16:41:49.7841953Z 
2025-11-03T16:41:49.7842070Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7842555Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7843038Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7843516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7843916Z     x = stage(x)
2025-11-03T16:41:49.7844284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7844681Z     out = F.relu_(out)
2025-11-03T16:41:49.7844797Z 
2025-11-03T16:41:49.7844906Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7845408Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7845899Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7846320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7846713Z     x = stage(x)
2025-11-03T16:41:49.7847072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7847466Z     out = self.conv3(out)
2025-11-03T16:41:49.7847818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7848189Z     x = F.conv2d(
2025-11-03T16:41:49.7848285Z 
2025-11-03T16:41:49.7848395Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7848891Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7849364Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7849764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7850143Z     x = stage(x)
2025-11-03T16:41:49.7850497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7850890Z     out = F.relu_(out)
2025-11-03T16:41:49.7850995Z 
2025-11-03T16:41:49.7851112Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7851583Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7852041Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7852414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7852774Z     x = stage(x)
2025-11-03T16:41:49.7853098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:41:49.7853479Z     out = self.conv1(x)
2025-11-03T16:41:49.7853789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7854124Z     x = F.conv2d(
2025-11-03T16:41:49.7854215Z 
2025-11-03T16:41:49.7854326Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7854775Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7855202Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7855571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7855925Z     x = stage(x)
2025-11-03T16:41:49.7856249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:41:49.7856604Z     out = F.relu_(out)
2025-11-03T16:41:49.7856701Z 
2025-11-03T16:41:49.7856802Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7857308Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7857740Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7858104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7858455Z     x = stage(x)
2025-11-03T16:41:49.7858770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:41:49.7859135Z     out = self.conv2(out)
2025-11-03T16:41:49.7859456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7859784Z     x = F.conv2d(
2025-11-03T16:41:49.7859872Z 
2025-11-03T16:41:49.7860029Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7860471Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7860905Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7861270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7861622Z     x = stage(x)
2025-11-03T16:41:49.7861940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:41:49.7862294Z     out = F.relu_(out)
2025-11-03T16:41:49.7862397Z 
2025-11-03T16:41:49.7862498Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7862951Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7863386Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7863772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7864125Z     x = stage(x)
2025-11-03T16:41:49.7864453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:41:49.7864816Z     out = self.conv3(out)
2025-11-03T16:41:49.7865139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:41:49.7865487Z     x = F.conv2d(
2025-11-03T16:41:49.7865579Z 
2025-11-03T16:41:49.7865703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:49.7866147Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:41:49.7866582Z     features = self.backbone(images.tensor)
2025-11-03T16:41:49.7867149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:41:49.7867584Z     x = stage(x)
2025-11-03T16:41:49.7867924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:41:49.7868302Z     out = F.relu_(out)
2025-11-03T16:41:49.7868416Z 
2025-11-03T16:41:58.2844437Z cudagraph partition due to non gpu ops
2025-11-03T16:41:58.2845003Z cudagraph partition due to non gpu ops
2025-11-03T16:41:58.2849276Z cudagraph partition due to non gpu ops
2025-11-03T16:41:58.2849704Z cudagraph partition due to non gpu ops
2025-11-03T16:41:58.2850052Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:58.2850667Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:41:58.2851150Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:41:58.2851595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:41:58.2851993Z     return torch.as_tensor(x, device=device)
2025-11-03T16:41:58.2853363Z 
2025-11-03T16:41:58.2853500Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:58.2853942Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:41:58.2854393Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:41:58.2854570Z 
2025-11-03T16:41:58.9266391Z cudagraph partition due to non gpu ops
2025-11-03T16:41:58.9267166Z cudagraph partition due to non gpu ops
2025-11-03T16:41:58.9267557Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:58.9268232Z    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
2025-11-03T16:41:58.9268790Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:41:58.9269173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:41:58.9269543Z     return torch.cat(tensors, dim)
2025-11-03T16:41:58.9269688Z 
2025-11-03T16:41:59.5026925Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:59.5027668Z    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
2025-11-03T16:41:59.5028801Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:41:59.5029489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:41:59.5030020Z     return roi_align(
2025-11-03T16:41:59.5030949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:41:59.5031432Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:41:59.5031583Z 
2025-11-03T16:41:59.5031703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:41:59.5032185Z    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
2025-11-03T16:41:59.5032654Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:41:59.5033038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:41:59.5033697Z     return roi_align(
2025-11-03T16:41:59.5034019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:41:59.5034409Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:41:59.5034585Z 
2025-11-03T16:42:04.0708459Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:04.0709154Z    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
2025-11-03T16:42:04.0710110Z     box_features = self.box_head(box_features)
2025-11-03T16:42:04.0710633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:42:04.0711011Z     x = layer(x)
2025-11-03T16:42:04.0711111Z 
2025-11-03T16:42:04.0711227Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:04.0711709Z    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
2025-11-03T16:42:04.0712181Z     box_features = self.box_head(box_features)
2025-11-03T16:42:04.0712704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:42:04.0713126Z     x = layer(x)
2025-11-03T16:42:04.0713219Z 
2025-11-03T16:42:04.0713337Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:04.0713944Z    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
2025-11-03T16:42:04.0714432Z     box_features = self.box_head(box_features)
2025-11-03T16:42:04.0714828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:42:04.0715208Z     x = layer(x)
2025-11-03T16:42:04.0715300Z 
2025-11-03T16:42:04.0715411Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:04.0715884Z    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
2025-11-03T16:42:04.0716369Z     box_features = self.box_head(box_features)
2025-11-03T16:42:04.0716765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward
2025-11-03T16:42:04.0717140Z     x = layer(x)
2025-11-03T16:42:04.0717229Z 
2025-11-03T16:42:04.0717340Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:04.0717995Z    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
2025-11-03T16:42:04.0718555Z     predictions = self.box_predictor(box_features)
2025-11-03T16:42:04.0719005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:42:04.0719404Z     scores = self.cls_score(x)
2025-11-03T16:42:04.0719519Z 
2025-11-03T16:42:04.0719628Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:04.0720093Z    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
2025-11-03T16:42:04.0720564Z     predictions = self.box_predictor(box_features)
2025-11-03T16:42:04.0720967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:42:04.0721362Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:42:04.0721496Z 
2025-11-03T16:42:05.8691476Z cudagraph partition due to non gpu ops
2025-11-03T16:42:05.8695834Z cudagraph partition due to non gpu ops
2025-11-03T16:42:05.8701047Z cudagraph partition due to non gpu ops
2025-11-03T16:42:05.8703244Z cudagraph partition due to non gpu ops
2025-11-03T16:42:05.8703687Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:05.8708075Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:42:05.8708533Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:42:05.8711922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:42:05.8712711Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:42:05.8713167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:42:05.8713528Z     return torch.cat(tensors, dim)
2025-11-03T16:42:05.8713674Z 
2025-11-03T16:42:05.8713793Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:05.8714237Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:42:05.8714687Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:42:05.8715163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:42:05.8715629Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:42:05.8716086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:42:05.8716536Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:42:05.8716699Z 
2025-11-03T16:42:08.2275534Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:08.2276162Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:42:08.2276629Z     max_coordinate = boxes.max()
2025-11-03T16:42:08.2276776Z 
2025-11-03T16:42:08.2276902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:08.2277378Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:42:08.2278009Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:42:08.2278180Z 
2025-11-03T16:42:08.9660755Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:08.9665664Z    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
2025-11-03T16:42:08.9666753Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:42:08.9667209Z 
2025-11-03T16:42:08.9667338Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:08.9668034Z    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
2025-11-03T16:42:08.9668636Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:42:08.9668843Z 
2025-11-03T16:42:08.9668951Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:08.9669471Z    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
2025-11-03T16:42:08.9670019Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:42:08.9670205Z 
2025-11-03T16:42:13.4889945Z cudagraph partition due to non gpu ops
2025-11-03T16:42:13.4890397Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:13.4891035Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:42:13.4891515Z     output_boxes.clip(results.image_size)
2025-11-03T16:42:13.4892226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:42:13.4892684Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:42:13.4892910Z 
2025-11-03T16:42:13.4892997Z cudagraph partition due to non gpu ops
2025-11-03T16:42:13.4893218Z cudagraph partition due to non gpu ops
2025-11-03T16:42:13.4893517Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:13.4894054Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:42:13.4894477Z     output_boxes.clip(results.image_size)
2025-11-03T16:42:13.4894853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:42:13.4895253Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:42:13.4895413Z 
2025-11-03T16:42:13.4895534Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:42:13.4895985Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:42:13.4896418Z     results = results[output_boxes.nonempty()]
2025-11-03T16:42:13.4896801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:42:13.4897201Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:42:13.4897362Z 
2025-11-03T16:42:22.2955407Z Compilation time (from dynamo_timed): 38.512790688
2025-11-03T16:42:22.2955705Z pass
2025-11-03T16:42:22.2956457Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:42:22.2957371Z TIMING: gc:0.04922 entire_frame_compile:38.51279 _recursive_pre_grad_passes:0.02894 async_compile.wait:4.42638 backend_compile:22.636 _recursive_joint_graph_passes:0.63894 _recursive_post_grad_passes:0.1268 code_gen:8.10129 inductor_compile:9.96936 total_wall_time:38.51279
2025-11-03T16:42:22.2961526Z STATS: call_* op count: 610 | FakeTensorMode.__torch_dispatch__:12371 | FakeTensor.__torch_dispatch__:6401 | ProxyTorchDispatchMode.__torch_dispatch__:3094 | attempt fast:49 | slow no contiguity match:20 | fast is_contiguous:29
2025-11-03T16:42:22.2962257Z Dynamo produced 52 graphs covering 610 ops with 42 graph breaks (6 unique)
2025-11-03T16:42:25.3507532Z /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.
2025-11-03T16:42:25.3508459Z   import pynvml  # type: ignore[import]
2025-11-03T16:42:27.5624153Z 
2025-11-03T16:42:32.1222294Z loading model: 0it [00:00, ?it/s]W1103 16:42:32.120000 20133 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.
2025-11-03T16:42:33.2834039Z 
2025-11-03T16:42:33.2834547Z loading model: 0it [00:05, ?it/s]
2025-11-03T16:42:33.2846844Z cpu  eval  detectron2_fasterrcnn_r_50_fpn     
2025-11-03T16:42:48.5082203Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_fpn. Setting accuracy check to cosine
2025-11-03T16:42:48.5323857Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:42:55.6606123Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:43:02.8258775Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:43:23.3901334Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3905855Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3906687Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3912489Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3915240Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3918542Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3918855Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3919094Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3919314Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3919799Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3920030Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3920262Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3920491Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3920715Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3920936Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3921156Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3921368Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3921592Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3921961Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3924269Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3924576Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3924809Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.3925093Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3925730Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3926254Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3926905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3927325Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3927747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:43:23.3928157Z     x = self.stem(x)
2025-11-03T16:43:23.3928532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:43:23.3928941Z     x = self.conv1(x)
2025-11-03T16:43:23.3929284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.3929653Z     x = F.conv2d(
2025-11-03T16:43:23.3929763Z 
2025-11-03T16:43:23.3929879Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3930389Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3930868Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3931277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3931675Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3932057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:43:23.3932423Z     x = self.stem(x)
2025-11-03T16:43:23.3932762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:43:23.3933127Z     x = F.relu_(x)
2025-11-03T16:43:23.3933227Z 
2025-11-03T16:43:23.3933333Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3933804Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3934262Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3934635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3935055Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3935503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:43:23.3935890Z     x = self.stem(x)
2025-11-03T16:43:23.3936251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:43:23.3936693Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:43:23.3936876Z 
2025-11-03T16:43:23.3937025Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3937527Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3938004Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3938402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3938811Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3939224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3939623Z     x = stage(x)
2025-11-03T16:43:23.3939986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.3940371Z     out = self.conv1(x)
2025-11-03T16:43:23.3940727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.3941098Z     x = F.conv2d(
2025-11-03T16:43:23.3941198Z 
2025-11-03T16:43:23.3941317Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3941854Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3942323Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3942722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3943120Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3943521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3943902Z     x = stage(x)
2025-11-03T16:43:23.3944257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.3944647Z     out = F.relu_(out)
2025-11-03T16:43:23.3944758Z 
2025-11-03T16:43:23.3944876Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3945562Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3946029Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3946424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3946824Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3947226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3947606Z     x = stage(x)
2025-11-03T16:43:23.3947949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.3948322Z     out = self.conv2(out)
2025-11-03T16:43:23.3948657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.3949002Z     x = F.conv2d(
2025-11-03T16:43:23.3949094Z 
2025-11-03T16:43:23.3949197Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3949665Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3950131Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3950508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3950886Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3951261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3951625Z     x = stage(x)
2025-11-03T16:43:23.3951978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.3952350Z     out = F.relu_(out)
2025-11-03T16:43:23.3952455Z 
2025-11-03T16:43:23.3952569Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3953033Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3953487Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3953866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3954255Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3954639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3954999Z     x = stage(x)
2025-11-03T16:43:23.3955342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.3955718Z     out = self.conv3(out)
2025-11-03T16:43:23.3956088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.3956429Z     x = F.conv2d(
2025-11-03T16:43:23.3956530Z 
2025-11-03T16:43:23.3956634Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3957102Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3957556Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3958162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3958591Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3959026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3959449Z     x = stage(x)
2025-11-03T16:43:23.3959819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:43:23.3960229Z     shortcut = self.shortcut(x)
2025-11-03T16:43:23.3960599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.3960974Z     x = F.conv2d(
2025-11-03T16:43:23.3961071Z 
2025-11-03T16:43:23.3961192Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3961699Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3962181Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3962585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3962990Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3963403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3963794Z     x = stage(x)
2025-11-03T16:43:23.3964178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.3964577Z     out = self.conv1(x)
2025-11-03T16:43:23.3964948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.3965305Z     x = F.conv2d(
2025-11-03T16:43:23.3965404Z 
2025-11-03T16:43:23.3965515Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3966011Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3966503Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3967143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3967571Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3967972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3968368Z     x = stage(x)
2025-11-03T16:43:23.3968729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.3969131Z     out = F.relu_(out)
2025-11-03T16:43:23.3969240Z 
2025-11-03T16:43:23.3969361Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3969861Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3970345Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3970753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3971259Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3971735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3972119Z     x = stage(x)
2025-11-03T16:43:23.3972482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.3972886Z     out = self.conv2(out)
2025-11-03T16:43:23.3973243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.3973603Z     x = F.conv2d(
2025-11-03T16:43:23.3973711Z 
2025-11-03T16:43:23.3973822Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3974344Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3974849Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3975249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3975645Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3976043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3976409Z     x = stage(x)
2025-11-03T16:43:23.3976743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.3977102Z     out = F.relu_(out)
2025-11-03T16:43:23.3977210Z 
2025-11-03T16:43:23.3977314Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3977783Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3978252Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3978641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3979023Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3979411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3979823Z     x = stage(x)
2025-11-03T16:43:23.3980166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.3980539Z     out = self.conv3(out)
2025-11-03T16:43:23.3980871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.3981262Z     x = F.conv2d(
2025-11-03T16:43:23.3981378Z 
2025-11-03T16:43:23.3981499Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3982017Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3982468Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3982845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3983227Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3983603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3983965Z     x = stage(x)
2025-11-03T16:43:23.3984303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.3984675Z     out = F.relu_(out)
2025-11-03T16:43:23.3984775Z 
2025-11-03T16:43:23.3984878Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3985353Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3985836Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3986214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3986593Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3986968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3987339Z     x = stage(x)
2025-11-03T16:43:23.3987673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.3988045Z     out = self.conv1(x)
2025-11-03T16:43:23.3988370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.3988714Z     x = F.conv2d(
2025-11-03T16:43:23.3988817Z 
2025-11-03T16:43:23.3988927Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3989429Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3989913Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3990305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3990708Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3991115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3991500Z     x = stage(x)
2025-11-03T16:43:23.3991858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.3992243Z     out = F.relu_(out)
2025-11-03T16:43:23.3992355Z 
2025-11-03T16:43:23.3992464Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3992972Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3993449Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3993848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3994269Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3994676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3995064Z     x = stage(x)
2025-11-03T16:43:23.3995417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.3995806Z     out = self.conv2(out)
2025-11-03T16:43:23.3996177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.3996535Z     x = F.conv2d(
2025-11-03T16:43:23.3996631Z 
2025-11-03T16:43:23.3996752Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.3997246Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.3997714Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.3998232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.3998655Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.3999083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.3999474Z     x = stage(x)
2025-11-03T16:43:23.3999826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4000222Z     out = F.relu_(out)
2025-11-03T16:43:23.4000332Z 
2025-11-03T16:43:23.4000490Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4000993Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4001473Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4001878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4002287Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4002691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4003080Z     x = stage(x)
2025-11-03T16:43:23.4003430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4003826Z     out = self.conv3(out)
2025-11-03T16:43:23.4004187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4004552Z     x = F.conv2d(
2025-11-03T16:43:23.4004649Z 
2025-11-03T16:43:23.4004763Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4005259Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4005740Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4006140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4006545Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4006941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4007332Z     x = stage(x)
2025-11-03T16:43:23.4007692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4008086Z     out = F.relu_(out)
2025-11-03T16:43:23.4008191Z 
2025-11-03T16:43:23.4008309Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4008802Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4009303Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4009694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4010075Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4010454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4010831Z     x = stage(x)
2025-11-03T16:43:23.4011168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4011543Z     out = self.conv1(x)
2025-11-03T16:43:23.4011883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4012239Z     x = F.conv2d(
2025-11-03T16:43:23.4012348Z 
2025-11-03T16:43:23.4012460Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4012955Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4013429Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4013832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4014224Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4014630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4015023Z     x = stage(x)
2025-11-03T16:43:23.4015488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4015865Z     out = F.relu_(out)
2025-11-03T16:43:23.4015973Z 
2025-11-03T16:43:23.4016076Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4016547Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4017010Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4017392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4017770Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4018163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4018534Z     x = stage(x)
2025-11-03T16:43:23.4018874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4019250Z     out = self.conv2(out)
2025-11-03T16:43:23.4019580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4019932Z     x = F.conv2d(
2025-11-03T16:43:23.4020031Z 
2025-11-03T16:43:23.4020135Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4020602Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4021051Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4021427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4021807Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4022193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4022562Z     x = stage(x)
2025-11-03T16:43:23.4022892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4023303Z     out = F.relu_(out)
2025-11-03T16:43:23.4023410Z 
2025-11-03T16:43:23.4023512Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4023980Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4024428Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4024794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4025919Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4026317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4026679Z     x = stage(x)
2025-11-03T16:43:23.4026998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4027360Z     out = self.conv3(out)
2025-11-03T16:43:23.4027686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4028026Z     x = F.conv2d(
2025-11-03T16:43:23.4028116Z 
2025-11-03T16:43:23.4028224Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4028672Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4029115Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4029485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4029915Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4030290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4030639Z     x = stage(x)
2025-11-03T16:43:23.4030969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:43:23.4031336Z     shortcut = self.shortcut(x)
2025-11-03T16:43:23.4031673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4032005Z     x = F.conv2d(
2025-11-03T16:43:23.4032099Z 
2025-11-03T16:43:23.4032200Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4032658Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4033107Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4033483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4033856Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4034240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4034605Z     x = stage(x)
2025-11-03T16:43:23.4034939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4035336Z     out = self.conv1(x)
2025-11-03T16:43:23.4035678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4036050Z     x = F.conv2d(
2025-11-03T16:43:23.4036154Z 
2025-11-03T16:43:23.4036265Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4036767Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4037237Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4037656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4038202Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4038639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4039043Z     x = stage(x)
2025-11-03T16:43:23.4039378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4039750Z     out = F.relu_(out)
2025-11-03T16:43:23.4039894Z 
2025-11-03T16:43:23.4039999Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4040473Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4040929Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4041303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4041693Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4042076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4042445Z     x = stage(x)
2025-11-03T16:43:23.4042779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4043236Z     out = self.conv2(out)
2025-11-03T16:43:23.4043575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4043920Z     x = F.conv2d(
2025-11-03T16:43:23.4044019Z 
2025-11-03T16:43:23.4044164Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4044633Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4045084Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4045463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4045841Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4046225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4046585Z     x = stage(x)
2025-11-03T16:43:23.4046924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4047290Z     out = F.relu_(out)
2025-11-03T16:43:23.4047399Z 
2025-11-03T16:43:23.4047506Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4047979Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4048432Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4048813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4049189Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4049568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4049938Z     x = stage(x)
2025-11-03T16:43:23.4050271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4050643Z     out = self.conv3(out)
2025-11-03T16:43:23.4050969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4051315Z     x = F.conv2d(
2025-11-03T16:43:23.4051412Z 
2025-11-03T16:43:23.4051516Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4051985Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4052461Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4052830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4053206Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4053587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4053975Z     x = stage(x)
2025-11-03T16:43:23.4054304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4054676Z     out = F.relu_(out)
2025-11-03T16:43:23.4054785Z 
2025-11-03T16:43:23.4054887Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4055352Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4055812Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4056189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4056559Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4056929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4057286Z     x = stage(x)
2025-11-03T16:43:23.4057602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4057965Z     out = self.conv1(x)
2025-11-03T16:43:23.4058326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4058670Z     x = F.conv2d(
2025-11-03T16:43:23.4058758Z 
2025-11-03T16:43:23.4058870Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4059335Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4059798Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4060176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4060558Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4060949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4061298Z     x = stage(x)
2025-11-03T16:43:23.4061631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4061999Z     out = F.relu_(out)
2025-11-03T16:43:23.4062100Z 
2025-11-03T16:43:23.4062212Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4062685Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4063143Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4063521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4063908Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4064292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4064648Z     x = stage(x)
2025-11-03T16:43:23.4064985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4065358Z     out = self.conv2(out)
2025-11-03T16:43:23.4065693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4066071Z     x = F.conv2d(
2025-11-03T16:43:23.4066162Z 
2025-11-03T16:43:23.4066264Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4066737Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4067402Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4067788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4068231Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4068608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4068975Z     x = stage(x)
2025-11-03T16:43:23.4069314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4069677Z     out = F.relu_(out)
2025-11-03T16:43:23.4069779Z 
2025-11-03T16:43:23.4069881Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4070341Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4070788Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4071160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4071536Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4071899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4072318Z     x = stage(x)
2025-11-03T16:43:23.4072646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4073016Z     out = self.conv3(out)
2025-11-03T16:43:23.4073346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4073676Z     x = F.conv2d(
2025-11-03T16:43:23.4073774Z 
2025-11-03T16:43:23.4073875Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4074327Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4074765Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4075121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4075495Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4075871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4076228Z     x = stage(x)
2025-11-03T16:43:23.4076561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4076921Z     out = F.relu_(out)
2025-11-03T16:43:23.4077025Z 
2025-11-03T16:43:23.4077126Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4077621Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4078168Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4078577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4078977Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4079434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4079801Z     x = stage(x)
2025-11-03T16:43:23.4080148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4080546Z     out = self.conv1(x)
2025-11-03T16:43:23.4080869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4081206Z     x = F.conv2d(
2025-11-03T16:43:23.4081296Z 
2025-11-03T16:43:23.4081405Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4081865Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4082329Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4082705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4083081Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4083461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4083815Z     x = stage(x)
2025-11-03T16:43:23.4084145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4084519Z     out = F.relu_(out)
2025-11-03T16:43:23.4084623Z 
2025-11-03T16:43:23.4084736Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4085213Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4085661Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4086091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4086458Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4086835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4087198Z     x = stage(x)
2025-11-03T16:43:23.4087524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4087900Z     out = self.conv2(out)
2025-11-03T16:43:23.4088233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4088580Z     x = F.conv2d(
2025-11-03T16:43:23.4088670Z 
2025-11-03T16:43:23.4088775Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4089249Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4089699Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4090076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4090453Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4090826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4091189Z     x = stage(x)
2025-11-03T16:43:23.4091521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4091890Z     out = F.relu_(out)
2025-11-03T16:43:23.4091990Z 
2025-11-03T16:43:23.4092101Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4092562Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4093015Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4093388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4093771Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4094146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4094529Z     x = stage(x)
2025-11-03T16:43:23.4094859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4095228Z     out = self.conv3(out)
2025-11-03T16:43:23.4095562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4095934Z     x = F.conv2d(
2025-11-03T16:43:23.4096033Z 
2025-11-03T16:43:23.4096137Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4096612Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4097064Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4097440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4097814Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4098194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4098560Z     x = stage(x)
2025-11-03T16:43:23.4098894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4099256Z     out = F.relu_(out)
2025-11-03T16:43:23.4099366Z 
2025-11-03T16:43:23.4099472Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4099986Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4100443Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4100818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4101193Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4101572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4101932Z     x = stage(x)
2025-11-03T16:43:23.4102268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4102634Z     out = self.conv1(x)
2025-11-03T16:43:23.4102957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4103299Z     x = F.conv2d(
2025-11-03T16:43:23.4103396Z 
2025-11-03T16:43:23.4103503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4103965Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4104414Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4104782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4105164Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4105534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4105885Z     x = stage(x)
2025-11-03T16:43:23.4106201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4106560Z     out = F.relu_(out)
2025-11-03T16:43:23.4106667Z 
2025-11-03T16:43:23.4106771Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4107223Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4107661Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4108038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4108409Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4108776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4109130Z     x = stage(x)
2025-11-03T16:43:23.4109447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4109834Z     out = self.conv2(out)
2025-11-03T16:43:23.4110161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4110498Z     x = F.conv2d(
2025-11-03T16:43:23.4110601Z 
2025-11-03T16:43:23.4110710Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4111167Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4111611Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4111976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4112352Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4112729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4113097Z     x = stage(x)
2025-11-03T16:43:23.4113434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4113855Z     out = F.relu_(out)
2025-11-03T16:43:23.4113958Z 
2025-11-03T16:43:23.4114069Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4114539Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4114996Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4115372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4115768Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4116169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4116548Z     x = stage(x)
2025-11-03T16:43:23.4116900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4117295Z     out = self.conv3(out)
2025-11-03T16:43:23.4117653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4118164Z     x = F.conv2d(
2025-11-03T16:43:23.4118267Z 
2025-11-03T16:43:23.4118381Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4118914Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4119437Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4119820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4120199Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4120635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4120989Z     x = stage(x)
2025-11-03T16:43:23.4121329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:43:23.4121709Z     shortcut = self.shortcut(x)
2025-11-03T16:43:23.4122051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4122423Z     x = F.conv2d(
2025-11-03T16:43:23.4122522Z 
2025-11-03T16:43:23.4122625Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4123090Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4123539Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4123909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4124307Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4124695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4125061Z     x = stage(x)
2025-11-03T16:43:23.4125392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4125770Z     out = self.conv1(x)
2025-11-03T16:43:23.4126102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4126455Z     x = F.conv2d(
2025-11-03T16:43:23.4126547Z 
2025-11-03T16:43:23.4126659Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4127130Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4127583Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4128003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4128384Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4128761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4129117Z     x = stage(x)
2025-11-03T16:43:23.4129454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4129820Z     out = F.relu_(out)
2025-11-03T16:43:23.4129923Z 
2025-11-03T16:43:23.4130033Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4130496Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4130948Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4131333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4131714Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4132094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4132511Z     x = stage(x)
2025-11-03T16:43:23.4132828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4133183Z     out = self.conv2(out)
2025-11-03T16:43:23.4133496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4133821Z     x = F.conv2d(
2025-11-03T16:43:23.4133908Z 
2025-11-03T16:43:23.4134005Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4134451Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4134911Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4135280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4135660Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4136035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4136431Z     x = stage(x)
2025-11-03T16:43:23.4136763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4137111Z     out = F.relu_(out)
2025-11-03T16:43:23.4137204Z 
2025-11-03T16:43:23.4137302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4137749Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4138197Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4138558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4138916Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4139270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4139614Z     x = stage(x)
2025-11-03T16:43:23.4139929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4140287Z     out = self.conv3(out)
2025-11-03T16:43:23.4140604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4140940Z     x = F.conv2d(
2025-11-03T16:43:23.4141039Z 
2025-11-03T16:43:23.4141141Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4141640Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4142088Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4142452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4142835Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4143204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4143562Z     x = stage(x)
2025-11-03T16:43:23.4143896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4144248Z     out = F.relu_(out)
2025-11-03T16:43:23.4144355Z 
2025-11-03T16:43:23.4144460Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4144923Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4145364Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4145725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4146101Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4146472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4146830Z     x = stage(x)
2025-11-03T16:43:23.4147158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4147509Z     out = self.conv1(x)
2025-11-03T16:43:23.4147829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4148166Z     x = F.conv2d(
2025-11-03T16:43:23.4148255Z 
2025-11-03T16:43:23.4148367Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4148827Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4149272Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4149679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4150051Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4150427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4150776Z     x = stage(x)
2025-11-03T16:43:23.4151106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4151479Z     out = F.relu_(out)
2025-11-03T16:43:23.4151577Z 
2025-11-03T16:43:23.4151685Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4152140Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4152568Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4152934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4153303Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4153675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4154030Z     x = stage(x)
2025-11-03T16:43:23.4154349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4154722Z     out = self.conv2(out)
2025-11-03T16:43:23.4155054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4155438Z     x = F.conv2d(
2025-11-03T16:43:23.4155530Z 
2025-11-03T16:43:23.4155633Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4156101Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4156553Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4156926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4157309Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4157676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4158146Z     x = stage(x)
2025-11-03T16:43:23.4158530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4158946Z     out = F.relu_(out)
2025-11-03T16:43:23.4159062Z 
2025-11-03T16:43:23.4159188Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4159680Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4160138Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4160522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4160909Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4161282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4161652Z     x = stage(x)
2025-11-03T16:43:23.4161991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4162361Z     out = self.conv3(out)
2025-11-03T16:43:23.4162699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4163041Z     x = F.conv2d(
2025-11-03T16:43:23.4163142Z 
2025-11-03T16:43:23.4163246Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4163742Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4164196Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4164575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4164948Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4165335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4165723Z     x = stage(x)
2025-11-03T16:43:23.4166067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4166430Z     out = F.relu_(out)
2025-11-03T16:43:23.4166538Z 
2025-11-03T16:43:23.4166642Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4167298Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4167761Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4168143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4168526Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4168913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4169284Z     x = stage(x)
2025-11-03T16:43:23.4169711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4170082Z     out = self.conv1(x)
2025-11-03T16:43:23.4170403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4170747Z     x = F.conv2d(
2025-11-03T16:43:23.4170846Z 
2025-11-03T16:43:23.4170951Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4171420Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4171861Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4172236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4172618Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4172999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4173360Z     x = stage(x)
2025-11-03T16:43:23.4173689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4174059Z     out = F.relu_(out)
2025-11-03T16:43:23.4174170Z 
2025-11-03T16:43:23.4174272Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4174734Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4175182Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4175546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4175925Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4176309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4176677Z     x = stage(x)
2025-11-03T16:43:23.4177006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4177384Z     out = self.conv2(out)
2025-11-03T16:43:23.4177717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4178100Z     x = F.conv2d(
2025-11-03T16:43:23.4178191Z 
2025-11-03T16:43:23.4178303Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4178782Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4179248Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4179657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4180043Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4180429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4180788Z     x = stage(x)
2025-11-03T16:43:23.4181124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4181584Z     out = F.relu_(out)
2025-11-03T16:43:23.4181686Z 
2025-11-03T16:43:23.4181797Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4182260Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4182697Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4183065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4183440Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4183862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4184209Z     x = stage(x)
2025-11-03T16:43:23.4184532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4184898Z     out = self.conv3(out)
2025-11-03T16:43:23.4185224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4185561Z     x = F.conv2d(
2025-11-03T16:43:23.4185651Z 
2025-11-03T16:43:23.4185751Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4186204Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4186645Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4187012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4187387Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4187748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4188102Z     x = stage(x)
2025-11-03T16:43:23.4188423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4188785Z     out = F.relu_(out)
2025-11-03T16:43:23.4188881Z 
2025-11-03T16:43:23.4188982Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4189434Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4189874Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4190244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4190609Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4190969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4191322Z     x = stage(x)
2025-11-03T16:43:23.4191669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4192030Z     out = self.conv1(x)
2025-11-03T16:43:23.4192349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4192691Z     x = F.conv2d(
2025-11-03T16:43:23.4192789Z 
2025-11-03T16:43:23.4192895Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4193387Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4193850Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4194227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4194612Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4194993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4195356Z     x = stage(x)
2025-11-03T16:43:23.4195690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4196056Z     out = F.relu_(out)
2025-11-03T16:43:23.4196164Z 
2025-11-03T16:43:23.4196268Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4196739Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4197195Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4197608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4198066Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4198475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4198887Z     x = stage(x)
2025-11-03T16:43:23.4199255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4199642Z     out = self.conv2(out)
2025-11-03T16:43:23.4199971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4200314Z     x = F.conv2d(
2025-11-03T16:43:23.4200406Z 
2025-11-03T16:43:23.4200519Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4201017Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4201491Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4201891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4202293Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4202689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4203065Z     x = stage(x)
2025-11-03T16:43:23.4203412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4203802Z     out = F.relu_(out)
2025-11-03T16:43:23.4203906Z 
2025-11-03T16:43:23.4204023Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4204518Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4204988Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4205387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4205811Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4206215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4206601Z     x = stage(x)
2025-11-03T16:43:23.4206944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4207339Z     out = self.conv3(out)
2025-11-03T16:43:23.4207690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4208073Z     x = F.conv2d(
2025-11-03T16:43:23.4208162Z 
2025-11-03T16:43:23.4208269Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4208731Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4209173Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4209544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4209919Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4210281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4210638Z     x = stage(x)
2025-11-03T16:43:23.4210965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4211335Z     out = F.relu_(out)
2025-11-03T16:43:23.4211432Z 
2025-11-03T16:43:23.4211540Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4212024Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4212464Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4212833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4213200Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4213564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4213911Z     x = stage(x)
2025-11-03T16:43:23.4214238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4214608Z     out = self.conv1(x)
2025-11-03T16:43:23.4214942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4215281Z     x = F.conv2d(
2025-11-03T16:43:23.4215380Z 
2025-11-03T16:43:23.4215486Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4215949Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4216398Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4216772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4217157Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4217529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4217880Z     x = stage(x)
2025-11-03T16:43:23.4218204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4218558Z     out = F.relu_(out)
2025-11-03T16:43:23.4218664Z 
2025-11-03T16:43:23.4218765Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4219234Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4219712Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4220076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4220437Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4220811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4221174Z     x = stage(x)
2025-11-03T16:43:23.4221534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4221904Z     out = self.conv2(out)
2025-11-03T16:43:23.4222232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4222579Z     x = F.conv2d(
2025-11-03T16:43:23.4222679Z 
2025-11-03T16:43:23.4222783Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4223267Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4223727Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4224114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4224491Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4224872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4225233Z     x = stage(x)
2025-11-03T16:43:23.4225604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4225979Z     out = F.relu_(out)
2025-11-03T16:43:23.4226086Z 
2025-11-03T16:43:23.4226191Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4226681Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4227131Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4227500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4227950Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4228334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4228704Z     x = stage(x)
2025-11-03T16:43:23.4229033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4229403Z     out = self.conv3(out)
2025-11-03T16:43:23.4229738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4230083Z     x = F.conv2d(
2025-11-03T16:43:23.4230176Z 
2025-11-03T16:43:23.4230286Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4230747Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4231199Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4231577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4231958Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4232345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4232701Z     x = stage(x)
2025-11-03T16:43:23.4233033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4233401Z     out = F.relu_(out)
2025-11-03T16:43:23.4233526Z 
2025-11-03T16:43:23.4233638Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4234098Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4234547Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4234924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4235332Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4235709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4236067Z     x = stage(x)
2025-11-03T16:43:23.4236402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4236770Z     out = self.conv1(x)
2025-11-03T16:43:23.4237097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4237439Z     x = F.conv2d(
2025-11-03T16:43:23.4237530Z 
2025-11-03T16:43:23.4237642Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4238237Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4238748Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4239164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4239720Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4240095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4240457Z     x = stage(x)
2025-11-03T16:43:23.4240790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4241164Z     out = F.relu_(out)
2025-11-03T16:43:23.4241266Z 
2025-11-03T16:43:23.4241369Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4241843Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4242310Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4242684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4243055Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4243419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4243774Z     x = stage(x)
2025-11-03T16:43:23.4244096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4244456Z     out = self.conv2(out)
2025-11-03T16:43:23.4244776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4245115Z     x = F.conv2d(
2025-11-03T16:43:23.4245210Z 
2025-11-03T16:43:23.4245312Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4245765Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4246204Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4246561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4246948Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4247320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4247704Z     x = stage(x)
2025-11-03T16:43:23.4248044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4248406Z     out = F.relu_(out)
2025-11-03T16:43:23.4248513Z 
2025-11-03T16:43:23.4248616Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4249084Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4249545Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4249914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4250275Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4250646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4250998Z     x = stage(x)
2025-11-03T16:43:23.4251323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4251678Z     out = self.conv3(out)
2025-11-03T16:43:23.4252004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4252338Z     x = F.conv2d(
2025-11-03T16:43:23.4252424Z 
2025-11-03T16:43:23.4252534Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4252986Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4253456Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4253824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4254194Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4254568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4254923Z     x = stage(x)
2025-11-03T16:43:23.4255238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:43:23.4255602Z     shortcut = self.shortcut(x)
2025-11-03T16:43:23.4255942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4256275Z     x = F.conv2d(
2025-11-03T16:43:23.4256363Z 
2025-11-03T16:43:23.4256465Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4256927Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4257364Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4257729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4258097Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4258461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4258817Z     x = stage(x)
2025-11-03T16:43:23.4259138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4259500Z     out = self.conv1(x)
2025-11-03T16:43:23.4259810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4260153Z     x = F.conv2d(
2025-11-03T16:43:23.4260252Z 
2025-11-03T16:43:23.4260353Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4260813Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4261272Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4261630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4262002Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4262370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4262725Z     x = stage(x)
2025-11-03T16:43:23.4263071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4263423Z     out = F.relu_(out)
2025-11-03T16:43:23.4263533Z 
2025-11-03T16:43:23.4263634Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4264091Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4264538Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4264900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4265269Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4265643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4266002Z     x = stage(x)
2025-11-03T16:43:23.4266331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4266692Z     out = self.conv2(out)
2025-11-03T16:43:23.4267301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4267650Z     x = F.conv2d(
2025-11-03T16:43:23.4267746Z 
2025-11-03T16:43:23.4267864Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4268344Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4268796Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4269200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4269626Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4270035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4270418Z     x = stage(x)
2025-11-03T16:43:23.4270767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4271139Z     out = F.relu_(out)
2025-11-03T16:43:23.4271242Z 
2025-11-03T16:43:23.4271356Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4271828Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4272276Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4272660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4273044Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4273428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4273798Z     x = stage(x)
2025-11-03T16:43:23.4274134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4274510Z     out = self.conv3(out)
2025-11-03T16:43:23.4274850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4275201Z     x = F.conv2d(
2025-11-03T16:43:23.4275330Z 
2025-11-03T16:43:23.4275434Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4275902Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4276352Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4276727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4277136Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4277513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4277930Z     x = stage(x)
2025-11-03T16:43:23.4278298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4278694Z     out = F.relu_(out)
2025-11-03T16:43:23.4278802Z 
2025-11-03T16:43:23.4278923Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4279442Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4279919Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4280313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4280712Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4281109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4281473Z     x = stage(x)
2025-11-03T16:43:23.4281847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:43:23.4282217Z     out = self.conv1(x)
2025-11-03T16:43:23.4282546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4282889Z     x = F.conv2d(
2025-11-03T16:43:23.4282988Z 
2025-11-03T16:43:23.4283094Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4283567Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4284021Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4284401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4284781Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4285167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4285534Z     x = stage(x)
2025-11-03T16:43:23.4285867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:43:23.4286226Z     out = F.relu_(out)
2025-11-03T16:43:23.4286335Z 
2025-11-03T16:43:23.4286437Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4286904Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4287348Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4287723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4288096Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4288482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4288845Z     x = stage(x)
2025-11-03T16:43:23.4289173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:43:23.4289573Z     out = self.conv2(out)
2025-11-03T16:43:23.4289902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4290246Z     x = F.conv2d(
2025-11-03T16:43:23.4290343Z 
2025-11-03T16:43:23.4290449Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4290920Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4291404Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4291783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4292163Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4292547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4292913Z     x = stage(x)
2025-11-03T16:43:23.4293238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:43:23.4293607Z     out = F.relu_(out)
2025-11-03T16:43:23.4293715Z 
2025-11-03T16:43:23.4293819Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4294290Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4294744Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4295114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4295536Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4295916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4296277Z     x = stage(x)
2025-11-03T16:43:23.4296604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:43:23.4296979Z     out = self.conv3(out)
2025-11-03T16:43:23.4297310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4297654Z     x = F.conv2d(
2025-11-03T16:43:23.4297746Z 
2025-11-03T16:43:23.4297857Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4298316Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4298769Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4299147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:43:23.4299517Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:43:23.4299884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:43:23.4300233Z     x = stage(x)
2025-11-03T16:43:23.4300566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:43:23.4300929Z     out = F.relu_(out)
2025-11-03T16:43:23.4301028Z 
2025-11-03T16:43:23.4301139Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4301596Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4302049Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4302428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward
2025-11-03T16:43:23.4302884Z     prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]])
2025-11-03T16:43:23.4303328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4303685Z     x = F.conv2d(
2025-11-03T16:43:23.4303782Z 
2025-11-03T16:43:23.4303866Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.4304103Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4304554Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4305005Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4305363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 142, in forward
2025-11-03T16:43:23.4305763Z     results.append(self.output_convs[0](prev_features))
2025-11-03T16:43:23.4306140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4306476Z     x = F.conv2d(
2025-11-03T16:43:23.4306567Z 
2025-11-03T16:43:23.4306675Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4307119Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4307553Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4307917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:43:23.4308295Z     lateral_features = lateral_conv(features)
2025-11-03T16:43:23.4308643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4309013Z     x = F.conv2d(
2025-11-03T16:43:23.4309110Z 
2025-11-03T16:43:23.4309212Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4309666Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4310101Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4310457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:43:23.4310832Z     lateral_features = lateral_conv(features)
2025-11-03T16:43:23.4311188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4311523Z     x = F.conv2d(
2025-11-03T16:43:23.4311613Z 
2025-11-03T16:43:23.4311722Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4312184Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4312636Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4313011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:43:23.4313394Z     lateral_features = lateral_conv(features)
2025-11-03T16:43:23.4313763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4314096Z     x = F.conv2d(
2025-11-03T16:43:23.4314207Z 
2025-11-03T16:43:23.4314309Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4314775Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4315227Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4315590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:43:23.4315998Z     prev_features = lateral_features + top_down_features
2025-11-03T16:43:23.4316163Z 
2025-11-03T16:43:23.4316265Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4316756Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4317203Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4317568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:43:23.4318055Z     prev_features = lateral_features + top_down_features
2025-11-03T16:43:23.4318240Z 
2025-11-03T16:43:23.4318382Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4318916Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4319417Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4319807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:43:23.4320243Z     prev_features = lateral_features + top_down_features
2025-11-03T16:43:23.4320418Z 
2025-11-03T16:43:23.4320506Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.4320740Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.4320963Z cudagraph partition due to non gpu ops
2025-11-03T16:43:23.4321188Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4321655Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4322103Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4322519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 165, in forward
2025-11-03T16:43:23.4322919Z     results.extend(self.top_block(top_block_in_feature))
2025-11-03T16:43:23.4323317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 200, in forward
2025-11-03T16:43:23.4323737Z     return [F.max_pool2d(x, kernel_size=1, stride=2, padding=0)]
2025-11-03T16:43:23.4323913Z 
2025-11-03T16:43:23.4324025Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4324493Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4324932Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4325304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:43:23.4325697Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:43:23.4326080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4326428Z     x = F.conv2d(
2025-11-03T16:43:23.4326521Z 
2025-11-03T16:43:23.4326625Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4327091Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4327542Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4327917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:43:23.4328310Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:43:23.4328678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4329025Z     x = F.conv2d(
2025-11-03T16:43:23.4329122Z 
2025-11-03T16:43:23.4329225Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:23.4329694Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203
2025-11-03T16:43:23.4330140Z     features = self.backbone(images.tensor)
2025-11-03T16:43:23.4330535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward
2025-11-03T16:43:23.4330923Z     results.insert(0, output_conv(prev_features))
2025-11-03T16:43:23.4331296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:43:23.4331639Z     x = F.conv2d(
2025-11-03T16:43:23.4331729Z 
2025-11-03T16:43:32.8399857Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:32.8400761Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:43:32.8401226Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:43:32.8401405Z 
2025-11-03T16:43:36.7021820Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:36.7022462Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:43:36.7022922Z     return roi_align(
2025-11-03T16:43:36.7028736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:43:36.7030669Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:43:36.7030852Z 
2025-11-03T16:43:36.7031140Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:36.7031673Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:43:36.7032166Z     return roi_align(
2025-11-03T16:43:36.7032591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:43:36.7033449Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:43:36.7033611Z 
2025-11-03T16:43:42.5386574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:42.5387232Z    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
2025-11-03T16:43:42.5387850Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:43:42.5388067Z 
2025-11-03T16:43:42.5388181Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:42.5388734Z    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
2025-11-03T16:43:42.5389302Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:43:42.5389493Z 
2025-11-03T16:43:42.5389604Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:42.5390129Z    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
2025-11-03T16:43:42.5390677Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:43:42.5390872Z 
2025-11-03T16:43:46.6536076Z cudagraph partition due to non gpu ops
2025-11-03T16:43:46.6539360Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:46.6539872Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:43:46.6540308Z     output_boxes.clip(results.image_size)
2025-11-03T16:43:46.6540663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:43:46.6541119Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:43:46.6541338Z 
2025-11-03T16:43:46.6541430Z cudagraph partition due to non gpu ops
2025-11-03T16:43:46.6541644Z cudagraph partition due to non gpu ops
2025-11-03T16:43:46.6541870Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:46.6542339Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:43:46.6543091Z     output_boxes.clip(results.image_size)
2025-11-03T16:43:46.6543443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:43:46.6543826Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:43:46.6543985Z 
2025-11-03T16:43:46.6544088Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:43:46.6544574Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:43:46.6544983Z     results = results[output_boxes.nonempty()]
2025-11-03T16:43:46.6545355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:43:46.6545736Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:43:46.6545884Z 
2025-11-03T16:43:52.5497541Z Compilation time (from dynamo_timed): 43.857247846
2025-11-03T16:43:52.5497861Z pass
2025-11-03T16:43:52.5498164Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:43:52.5499013Z TIMING: gc:0.05682 entire_frame_compile:43.85725 _recursive_pre_grad_passes:0.03521 async_compile.wait:2.44794 backend_compile:21.41084 _recursive_joint_graph_passes:0.18947 _recursive_post_grad_passes:0.11268 code_gen:6.00727 inductor_compile:8.55249 total_wall_time:43.85725
2025-11-03T16:43:52.5500421Z STATS: call_* op count: 986 | FakeTensorMode.__torch_dispatch__:16012 | FakeTensor.__torch_dispatch__:6356 | ProxyTorchDispatchMode.__torch_dispatch__:3038 | attempt fast:100 | slow no contiguity match:36 | fast is_contiguous:64
2025-11-03T16:43:52.5501089Z Dynamo produced 61 graphs covering 986 ops with 46 graph breaks (6 unique)
2025-11-03T16:43:55.9412360Z /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.
2025-11-03T16:43:55.9413297Z   import pynvml  # type: ignore[import]
2025-11-03T16:43:58.1106725Z 
2025-11-03T16:44:02.9719057Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:44:02.9719358Z loading model: 0it [00:04, ?it/s]
2025-11-03T16:44:02.9733787Z cpu  eval  detectron2_fcos_r_50_fpn           
2025-11-03T16:44:18.5515656Z WARNING:common:fp64 golden ref were not generated for detectron2_fcos_r_50_fpn. Setting accuracy check to cosine
2025-11-03T16:44:18.5572187Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:44:23.3369227Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:44:28.0737429Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:44:30.0909173Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:30.0911754Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image
2025-11-03T16:44:30.0912257Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:44:30.0912710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in <listcomp>
2025-11-03T16:44:30.0913214Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:44:30.0913388Z 
2025-11-03T16:44:30.0913492Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:30.0913934Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image
2025-11-03T16:44:30.0914370Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:44:30.0914789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in <listcomp>
2025-11-03T16:44:30.0915541Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:44:30.0915703Z 
2025-11-03T16:44:30.0915809Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:30.0916238Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image
2025-11-03T16:44:30.0916805Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:44:30.0917244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in <listcomp>
2025-11-03T16:44:30.0917671Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:44:30.0917994Z 
2025-11-03T16:44:30.0918104Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:30.0918585Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image
2025-11-03T16:44:30.0919073Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:44:30.0919526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in <listcomp>
2025-11-03T16:44:30.0919963Z     images = [(x - self.pixel_mean) / self.pixel_std for x in images]
2025-11-03T16:44:30.0920130Z 
2025-11-03T16:44:37.4756385Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:37.4757344Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:44:37.4757958Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:44:37.4758418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:44:37.4758866Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:44:37.4759353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:44:37.4759770Z     return torch.as_tensor(x, device=device)
2025-11-03T16:44:37.4759923Z 
2025-11-03T16:44:37.4760038Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:37.4760473Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:44:37.4760914Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:44:37.4761346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:44:37.4761792Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:44:37.4762290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:44:37.4762705Z     return torch.as_tensor(x, device=device)
2025-11-03T16:44:37.4762845Z 
2025-11-03T16:44:37.4762951Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:37.4763382Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:44:37.4763840Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:44:37.4764280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:44:37.4764723Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:44:37.4765164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:44:37.4765562Z     return torch.as_tensor(x, device=device)
2025-11-03T16:44:37.4765708Z 
2025-11-03T16:44:37.4765813Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:37.4766316Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors
2025-11-03T16:44:37.4766773Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:44:37.4767540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in <listcomp>
2025-11-03T16:44:37.4767943Z     image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
2025-11-03T16:44:37.4768396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:44:37.4768760Z     return torch.as_tensor(x, device=device)
2025-11-03T16:44:37.4768891Z 
2025-11-03T16:44:37.4768998Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:37.4769377Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors
2025-11-03T16:44:37.4769777Z     max_size = torch.stack(image_sizes_tensor).max(0).values
2025-11-03T16:44:37.4769940Z 
2025-11-03T16:44:37.4770039Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:37.4770429Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 101, in from_tensors
2025-11-03T16:44:37.4770864Z     max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride
2025-11-03T16:44:37.4771057Z 
2025-11-03T16:44:38.1770110Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1648336Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1648916Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1654595Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1660373Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1662930Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1663387Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1668242Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1670235Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1670658Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1670990Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1671321Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1671612Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1671939Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1672259Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1672569Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1673353Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1673707Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1673959Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1674181Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1674396Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1674621Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1674832Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1675041Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1675257Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1675457Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1675657Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1675852Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1676055Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.1676300Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1676854Z    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
2025-11-03T16:44:53.1677362Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1677780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1678383Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1679054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:44:53.1679518Z     x = self.stem(x)
2025-11-03T16:44:53.1679904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward
2025-11-03T16:44:53.1680316Z     x = self.conv1(x)
2025-11-03T16:44:53.1680671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1681101Z     x = F.conv2d(
2025-11-03T16:44:53.1681203Z 
2025-11-03T16:44:53.1681320Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1681819Z    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
2025-11-03T16:44:53.1682306Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1682716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1683141Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1683549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:44:53.1683928Z     x = self.stem(x)
2025-11-03T16:44:53.1684296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward
2025-11-03T16:44:53.1684692Z     x = F.relu_(x)
2025-11-03T16:44:53.1684786Z 
2025-11-03T16:44:53.1684901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1685458Z    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
2025-11-03T16:44:53.1685933Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1686333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1686716Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1687102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward
2025-11-03T16:44:53.1687463Z     x = self.stem(x)
2025-11-03T16:44:53.1687812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward
2025-11-03T16:44:53.1688236Z     x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
2025-11-03T16:44:53.1688404Z 
2025-11-03T16:44:53.1688524Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1689023Z    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
2025-11-03T16:44:53.1689484Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1689871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1690249Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1690630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1691001Z     x = stage(x)
2025-11-03T16:44:53.1691390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1691772Z     out = self.conv1(x)
2025-11-03T16:44:53.1692105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1692452Z     x = F.conv2d(
2025-11-03T16:44:53.1692552Z 
2025-11-03T16:44:53.1692657Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1693147Z    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
2025-11-03T16:44:53.1693635Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1694014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1694395Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1694777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1695153Z     x = stage(x)
2025-11-03T16:44:53.1695529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1695906Z     out = F.relu_(out)
2025-11-03T16:44:53.1696009Z 
2025-11-03T16:44:53.1696125Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1696615Z    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
2025-11-03T16:44:53.1697089Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1697472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1697857Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1698239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1698611Z     x = stage(x)
2025-11-03T16:44:53.1698951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1699337Z     out = self.conv2(out)
2025-11-03T16:44:53.1699719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1700060Z     x = F.conv2d(
2025-11-03T16:44:53.1700160Z 
2025-11-03T16:44:53.1700266Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1700754Z    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
2025-11-03T16:44:53.1701225Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1701602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1701979Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1702360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1702726Z     x = stage(x)
2025-11-03T16:44:53.1703064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1703428Z     out = F.relu_(out)
2025-11-03T16:44:53.1703541Z 
2025-11-03T16:44:53.1703646Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1704144Z    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
2025-11-03T16:44:53.1704615Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1704993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1705371Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1705756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1706127Z     x = stage(x)
2025-11-03T16:44:53.1706460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1706832Z     out = self.conv3(out)
2025-11-03T16:44:53.1707161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1707511Z     x = F.conv2d(
2025-11-03T16:44:53.1707729Z 
2025-11-03T16:44:53.1707858Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1708351Z    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
2025-11-03T16:44:53.1708819Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1709199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1709602Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1709986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1710354Z     x = stage(x)
2025-11-03T16:44:53.1710683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:44:53.1711062Z     shortcut = self.shortcut(x)
2025-11-03T16:44:53.1711413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1711769Z     x = F.conv2d(
2025-11-03T16:44:53.1711863Z 
2025-11-03T16:44:53.1711982Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1712500Z    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
2025-11-03T16:44:53.1713009Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1713389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1713840Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1714252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1714643Z     x = stage(x)
2025-11-03T16:44:53.1714992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1715397Z     out = self.conv1(x)
2025-11-03T16:44:53.1715753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1716122Z     x = F.conv2d(
2025-11-03T16:44:53.1716220Z 
2025-11-03T16:44:53.1716339Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1716854Z    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
2025-11-03T16:44:53.1717366Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1717779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1718276Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1718690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1719094Z     x = stage(x)
2025-11-03T16:44:53.1719453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1719850Z     out = F.relu_(out)
2025-11-03T16:44:53.1719960Z 
2025-11-03T16:44:53.1720081Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1720588Z    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
2025-11-03T16:44:53.1721070Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1721466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1721876Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1722283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1722692Z     x = stage(x)
2025-11-03T16:44:53.1723059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1723461Z     out = self.conv2(out)
2025-11-03T16:44:53.1723816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1724180Z     x = F.conv2d(
2025-11-03T16:44:53.1724284Z 
2025-11-03T16:44:53.1724415Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1724931Z    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
2025-11-03T16:44:53.1725430Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1725834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1726234Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1726636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1727024Z     x = stage(x)
2025-11-03T16:44:53.1727382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1727768Z     out = F.relu_(out)
2025-11-03T16:44:53.1727874Z 
2025-11-03T16:44:53.1727985Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1728552Z    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
2025-11-03T16:44:53.1729057Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1729462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1729851Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1730225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1730590Z     x = stage(x)
2025-11-03T16:44:53.1730921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1731295Z     out = self.conv3(out)
2025-11-03T16:44:53.1731618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1731957Z     x = F.conv2d(
2025-11-03T16:44:53.1732053Z 
2025-11-03T16:44:53.1732160Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1732643Z    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
2025-11-03T16:44:53.1733168Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1733538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1733913Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1734283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1734638Z     x = stage(x)
2025-11-03T16:44:53.1734954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.1735328Z     out = F.relu_(out)
2025-11-03T16:44:53.1735433Z 
2025-11-03T16:44:53.1735538Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1736021Z    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
2025-11-03T16:44:53.1736465Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1736813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1737202Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1737564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1737910Z     x = stage(x)
2025-11-03T16:44:53.1738232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1738604Z     out = self.conv1(x)
2025-11-03T16:44:53.1738931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1739266Z     x = F.conv2d(
2025-11-03T16:44:53.1739352Z 
2025-11-03T16:44:53.1739458Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1739916Z    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
2025-11-03T16:44:53.1740353Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1740718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1741088Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1741458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1741803Z     x = stage(x)
2025-11-03T16:44:53.1742134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1742501Z     out = F.relu_(out)
2025-11-03T16:44:53.1742636Z 
2025-11-03T16:44:53.1742750Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1743219Z    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
2025-11-03T16:44:53.1743665Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1744043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1744408Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1744779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1745141Z     x = stage(x)
2025-11-03T16:44:53.1745453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1745805Z     out = self.conv2(out)
2025-11-03T16:44:53.1746130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1746457Z     x = F.conv2d(
2025-11-03T16:44:53.1746544Z 
2025-11-03T16:44:53.1746645Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1747107Z    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
2025-11-03T16:44:53.1747553Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1747912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1748278Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1748628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1748976Z     x = stage(x)
2025-11-03T16:44:53.1749295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1749651Z     out = F.relu_(out)
2025-11-03T16:44:53.1749749Z 
2025-11-03T16:44:53.1749855Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1750307Z    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
2025-11-03T16:44:53.1750772Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1751133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1751494Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1751849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1752211Z     x = stage(x)
2025-11-03T16:44:53.1752536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1752893Z     out = self.conv3(out)
2025-11-03T16:44:53.1753218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1753550Z     x = F.conv2d(
2025-11-03T16:44:53.1753647Z 
2025-11-03T16:44:53.1753983Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1754458Z    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
2025-11-03T16:44:53.1754918Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1755283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1755646Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1756049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1756403Z     x = stage(x)
2025-11-03T16:44:53.1756727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.1757078Z     out = F.relu_(out)
2025-11-03T16:44:53.1757185Z 
2025-11-03T16:44:53.1757286Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1757759Z    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
2025-11-03T16:44:53.1758370Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1758795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1759215Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1759625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1760026Z     x = stage(x)
2025-11-03T16:44:53.1760361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1760726Z     out = self.conv1(x)
2025-11-03T16:44:53.1761043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1761379Z     x = F.conv2d(
2025-11-03T16:44:53.1761475Z 
2025-11-03T16:44:53.1761578Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1762056Z    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
2025-11-03T16:44:53.1762519Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1762881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1763258Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1763636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1763997Z     x = stage(x)
2025-11-03T16:44:53.1764315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1764705Z     out = F.relu_(out)
2025-11-03T16:44:53.1764811Z 
2025-11-03T16:44:53.1764912Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1765395Z    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
2025-11-03T16:44:53.1765884Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1767327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1767717Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1768101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1768465Z     x = stage(x)
2025-11-03T16:44:53.1768795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1769159Z     out = self.conv2(out)
2025-11-03T16:44:53.1769489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1769832Z     x = F.conv2d(
2025-11-03T16:44:53.1769924Z 
2025-11-03T16:44:53.1770035Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1770506Z    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
2025-11-03T16:44:53.1770969Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1771417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1771787Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1772154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1772506Z     x = stage(x)
2025-11-03T16:44:53.1772832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1773188Z     out = F.relu_(out)
2025-11-03T16:44:53.1773286Z 
2025-11-03T16:44:53.1773395Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1773867Z    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
2025-11-03T16:44:53.1774315Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1774689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1775054Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1775422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1775773Z     x = stage(x)
2025-11-03T16:44:53.1776097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1776457Z     out = self.conv3(out)
2025-11-03T16:44:53.1776785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1777115Z     x = F.conv2d(
2025-11-03T16:44:53.1777202Z 
2025-11-03T16:44:53.1777300Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1777762Z    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
2025-11-03T16:44:53.1778204Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1778561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1778921Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1779303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1779645Z     x = stage(x)
2025-11-03T16:44:53.1779962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:44:53.1780319Z     shortcut = self.shortcut(x)
2025-11-03T16:44:53.1780639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1781002Z     x = F.conv2d(
2025-11-03T16:44:53.1781100Z 
2025-11-03T16:44:53.1781200Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1781677Z    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
2025-11-03T16:44:53.1782143Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1782499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1782864Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1783235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1783587Z     x = stage(x)
2025-11-03T16:44:53.1783910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1784260Z     out = self.conv1(x)
2025-11-03T16:44:53.1784576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1784939Z     x = F.conv2d(
2025-11-03T16:44:53.1785028Z 
2025-11-03T16:44:53.1785136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1785586Z    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
2025-11-03T16:44:53.1786030Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1786390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1786762Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1787127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1787466Z     x = stage(x)
2025-11-03T16:44:53.1787784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1788135Z     out = F.relu_(out)
2025-11-03T16:44:53.1788230Z 
2025-11-03T16:44:53.1788336Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1788798Z    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
2025-11-03T16:44:53.1789233Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1789589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1789944Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1790301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1790639Z     x = stage(x)
2025-11-03T16:44:53.1790956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1791307Z     out = self.conv2(out)
2025-11-03T16:44:53.1791624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1791948Z     x = F.conv2d(
2025-11-03T16:44:53.1792036Z 
2025-11-03T16:44:53.1792135Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1792617Z    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
2025-11-03T16:44:53.1793065Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1793430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1793797Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1794174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1794525Z     x = stage(x)
2025-11-03T16:44:53.1794856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1795217Z     out = F.relu_(out)
2025-11-03T16:44:53.1795318Z 
2025-11-03T16:44:53.1795421Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1795891Z    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
2025-11-03T16:44:53.1796337Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1796704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1797072Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1797436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1797815Z     x = stage(x)
2025-11-03T16:44:53.1798293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1798695Z     out = self.conv3(out)
2025-11-03T16:44:53.1799052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1799393Z     x = F.conv2d(
2025-11-03T16:44:53.1799489Z 
2025-11-03T16:44:53.1799592Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1800107Z    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
2025-11-03T16:44:53.1800600Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1800990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1801393Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1801799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1802187Z     x = stage(x)
2025-11-03T16:44:53.1802542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.1802934Z     out = F.relu_(out)
2025-11-03T16:44:53.1803047Z 
2025-11-03T16:44:53.1803159Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1803673Z    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
2025-11-03T16:44:53.1804172Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1804569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1804966Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1805368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1805749Z     x = stage(x)
2025-11-03T16:44:53.1806090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1806430Z     out = self.conv1(x)
2025-11-03T16:44:53.1806765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1807087Z     x = F.conv2d(
2025-11-03T16:44:53.1807173Z 
2025-11-03T16:44:53.1807282Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1807740Z    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
2025-11-03T16:44:53.1808188Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1808550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1808912Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1809275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1809621Z     x = stage(x)
2025-11-03T16:44:53.1809934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1810283Z     out = F.relu_(out)
2025-11-03T16:44:53.1810379Z 
2025-11-03T16:44:53.1810485Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1810945Z    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
2025-11-03T16:44:53.1811377Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1811739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1812135Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1812501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1812848Z     x = stage(x)
2025-11-03T16:44:53.1813160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1813520Z     out = self.conv2(out)
2025-11-03T16:44:53.1813837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1814168Z     x = F.conv2d(
2025-11-03T16:44:53.1814255Z 
2025-11-03T16:44:53.1814361Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1814819Z    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
2025-11-03T16:44:53.1815270Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1815634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1815998Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1816355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1816703Z     x = stage(x)
2025-11-03T16:44:53.1817026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1817382Z     out = F.relu_(out)
2025-11-03T16:44:53.1817477Z 
2025-11-03T16:44:53.1817583Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1818037Z    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
2025-11-03T16:44:53.1818483Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1818843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1819202Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1819571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1819934Z     x = stage(x)
2025-11-03T16:44:53.1820253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1820600Z     out = self.conv3(out)
2025-11-03T16:44:53.1820915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1821233Z     x = F.conv2d(
2025-11-03T16:44:53.1821326Z 
2025-11-03T16:44:53.1821443Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1821905Z    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
2025-11-03T16:44:53.1822351Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1822708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1823063Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1823418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1823762Z     x = stage(x)
2025-11-03T16:44:53.1824084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.1824426Z     out = F.relu_(out)
2025-11-03T16:44:53.1824517Z 
2025-11-03T16:44:53.1824613Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1825097Z    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
2025-11-03T16:44:53.1825541Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1825902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1826254Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1826610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1826948Z     x = stage(x)
2025-11-03T16:44:53.1827261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1827601Z     out = self.conv1(x)
2025-11-03T16:44:53.1827903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1828225Z     x = F.conv2d(
2025-11-03T16:44:53.1828316Z 
2025-11-03T16:44:53.1828413Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1828870Z    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
2025-11-03T16:44:53.1829305Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1829649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1829998Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1830351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1830685Z     x = stage(x)
2025-11-03T16:44:53.1830994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1831343Z     out = F.relu_(out)
2025-11-03T16:44:53.1831456Z 
2025-11-03T16:44:53.1831552Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1832003Z    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
2025-11-03T16:44:53.1832435Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1832777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1833150Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1833499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1833834Z     x = stage(x)
2025-11-03T16:44:53.1834147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1834509Z     out = self.conv2(out)
2025-11-03T16:44:53.1834828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1835159Z     x = F.conv2d(
2025-11-03T16:44:53.1835248Z 
2025-11-03T16:44:53.1835355Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1835803Z    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
2025-11-03T16:44:53.1836251Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1836605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1836963Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1837319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1837658Z     x = stage(x)
2025-11-03T16:44:53.1838046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1838446Z     out = F.relu_(out)
2025-11-03T16:44:53.1838602Z 
2025-11-03T16:44:53.1838728Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1839262Z    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
2025-11-03T16:44:53.1839756Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1840153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1840548Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1840940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1841296Z     x = stage(x)
2025-11-03T16:44:53.1841617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1841994Z     out = self.conv3(out)
2025-11-03T16:44:53.1842348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1842705Z     x = F.conv2d(
2025-11-03T16:44:53.1842804Z 
2025-11-03T16:44:53.1842915Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1843419Z    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
2025-11-03T16:44:53.1843900Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1844297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1844694Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1845080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1845462Z     x = stage(x)
2025-11-03T16:44:53.1845815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.1846198Z     out = F.relu_(out)
2025-11-03T16:44:53.1846305Z 
2025-11-03T16:44:53.1846417Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1846928Z    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
2025-11-03T16:44:53.1847399Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1847777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:44:53.1848164Z     lateral_features = lateral_conv(features)
2025-11-03T16:44:53.1848537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1848904Z     x = F.conv2d(
2025-11-03T16:44:53.1849004Z 
2025-11-03T16:44:53.1849109Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1849598Z    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
2025-11-03T16:44:53.1850069Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1850444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1850876Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1851241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1851591Z     x = stage(x)
2025-11-03T16:44:53.1851912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1852260Z     out = self.conv1(x)
2025-11-03T16:44:53.1852610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1852941Z     x = F.conv2d(
2025-11-03T16:44:53.1853027Z 
2025-11-03T16:44:53.1853134Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1853591Z    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
2025-11-03T16:44:53.1854037Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1854397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1854758Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1855118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1855461Z     x = stage(x)
2025-11-03T16:44:53.1855779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1856127Z     out = F.relu_(out)
2025-11-03T16:44:53.1856223Z 
2025-11-03T16:44:53.1856329Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1856783Z    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
2025-11-03T16:44:53.1857219Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1857578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1857934Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1858295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1858633Z     x = stage(x)
2025-11-03T16:44:53.1858953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1859311Z     out = self.conv2(out)
2025-11-03T16:44:53.1859629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1871896Z     x = F.conv2d(
2025-11-03T16:44:53.1872101Z 
2025-11-03T16:44:53.1872247Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1872903Z    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
2025-11-03T16:44:53.1873380Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1873767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1874156Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1874615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1874977Z     x = stage(x)
2025-11-03T16:44:53.1875308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1875668Z     out = F.relu_(out)
2025-11-03T16:44:53.1875771Z 
2025-11-03T16:44:53.1875885Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1876370Z    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
2025-11-03T16:44:53.1876818Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1877200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1877581Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1878088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1878507Z     x = stage(x)
2025-11-03T16:44:53.1879018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1879455Z     out = self.conv3(out)
2025-11-03T16:44:53.1879836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1880186Z     x = F.conv2d(
2025-11-03T16:44:53.1880281Z 
2025-11-03T16:44:53.1880396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1880879Z    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
2025-11-03T16:44:53.1881355Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1881744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1882135Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1882521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1882894Z     x = stage(x)
2025-11-03T16:44:53.1883231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:44:53.1883618Z     shortcut = self.shortcut(x)
2025-11-03T16:44:53.1883974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1884319Z     x = F.conv2d(
2025-11-03T16:44:53.1884423Z 
2025-11-03T16:44:53.1884533Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1885027Z    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
2025-11-03T16:44:53.1885505Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1885890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1886271Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1886649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1887033Z     x = stage(x)
2025-11-03T16:44:53.1887366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1887725Z     out = self.conv1(x)
2025-11-03T16:44:53.1888055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1888399Z     x = F.conv2d(
2025-11-03T16:44:53.1888490Z 
2025-11-03T16:44:53.1888601Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1889097Z    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
2025-11-03T16:44:53.1889553Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1889929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1890309Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1890688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1891051Z     x = stage(x)
2025-11-03T16:44:53.1891375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1891740Z     out = F.relu_(out)
2025-11-03T16:44:53.1891842Z 
2025-11-03T16:44:53.1891958Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1892437Z    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
2025-11-03T16:44:53.1892916Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1893297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1893680Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1894057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1894423Z     x = stage(x)
2025-11-03T16:44:53.1894751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1895118Z     out = self.conv2(out)
2025-11-03T16:44:53.1895452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1895780Z     x = F.conv2d(
2025-11-03T16:44:53.1895866Z 
2025-11-03T16:44:53.1895964Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1896427Z    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
2025-11-03T16:44:53.1896870Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1897226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1897590Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1897950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1898304Z     x = stage(x)
2025-11-03T16:44:53.1898644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1898989Z     out = F.relu_(out)
2025-11-03T16:44:53.1899085Z 
2025-11-03T16:44:53.1899191Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1899638Z    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
2025-11-03T16:44:53.1900082Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1900435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1900802Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1901158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1901496Z     x = stage(x)
2025-11-03T16:44:53.1901816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1902182Z     out = self.conv3(out)
2025-11-03T16:44:53.1902516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1902826Z     x = F.conv2d(
2025-11-03T16:44:53.1902919Z 
2025-11-03T16:44:53.1903018Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1903476Z    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
2025-11-03T16:44:53.1903927Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1904279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1904632Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1904997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1905349Z     x = stage(x)
2025-11-03T16:44:53.1905660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.1906009Z     out = F.relu_(out)
2025-11-03T16:44:53.1906103Z 
2025-11-03T16:44:53.1906230Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1906684Z    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
2025-11-03T16:44:53.1907120Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1907481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1907834Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1908198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1908549Z     x = stage(x)
2025-11-03T16:44:53.1908878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1909247Z     out = self.conv1(x)
2025-11-03T16:44:53.1909553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1909885Z     x = F.conv2d(
2025-11-03T16:44:53.1909982Z 
2025-11-03T16:44:53.1910084Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1910553Z    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
2025-11-03T16:44:53.1911006Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1911364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1911733Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1912103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1912458Z     x = stage(x)
2025-11-03T16:44:53.1912776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1913135Z     out = F.relu_(out)
2025-11-03T16:44:53.1913242Z 
2025-11-03T16:44:53.1913344Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1913811Z    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
2025-11-03T16:44:53.1914274Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1914661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1915037Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1915418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1915804Z     x = stage(x)
2025-11-03T16:44:53.1916146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1916525Z     out = self.conv2(out)
2025-11-03T16:44:53.1916869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1917237Z     x = F.conv2d(
2025-11-03T16:44:53.1917328Z 
2025-11-03T16:44:53.1917441Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1917990Z    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
2025-11-03T16:44:53.1918468Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1918888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1919298Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1919695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1920098Z     x = stage(x)
2025-11-03T16:44:53.1920438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1920786Z     out = F.relu_(out)
2025-11-03T16:44:53.1920882Z 
2025-11-03T16:44:53.1920989Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1921452Z    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
2025-11-03T16:44:53.1921888Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1922245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1922604Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1922968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1923315Z     x = stage(x)
2025-11-03T16:44:53.1923625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1923976Z     out = self.conv3(out)
2025-11-03T16:44:53.1924294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1924621Z     x = F.conv2d(
2025-11-03T16:44:53.1924707Z 
2025-11-03T16:44:53.1924805Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1925264Z    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
2025-11-03T16:44:53.1925706Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1926062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1926419Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1926773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1927115Z     x = stage(x)
2025-11-03T16:44:53.1927428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.1927808Z     out = F.relu_(out)
2025-11-03T16:44:53.1927904Z 
2025-11-03T16:44:53.1928010Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1928463Z    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
2025-11-03T16:44:53.1928907Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1929264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1929640Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1929995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1930343Z     x = stage(x)
2025-11-03T16:44:53.1930659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1931013Z     out = self.conv1(x)
2025-11-03T16:44:53.1931325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1931642Z     x = F.conv2d(
2025-11-03T16:44:53.1931736Z 
2025-11-03T16:44:53.1931832Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1932295Z    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
2025-11-03T16:44:53.1932739Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1933124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1933484Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1933855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1934207Z     x = stage(x)
2025-11-03T16:44:53.1934527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1934875Z     out = F.relu_(out)
2025-11-03T16:44:53.1934979Z 
2025-11-03T16:44:53.1935078Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1935543Z    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
2025-11-03T16:44:53.1935985Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1936346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1936703Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1937069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1937417Z     x = stage(x)
2025-11-03T16:44:53.1937738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1938096Z     out = self.conv2(out)
2025-11-03T16:44:53.1938410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1938740Z     x = F.conv2d(
2025-11-03T16:44:53.1938826Z 
2025-11-03T16:44:53.1938932Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1939398Z    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
2025-11-03T16:44:53.1939839Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1940198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1940562Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1940929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1941294Z     x = stage(x)
2025-11-03T16:44:53.1941605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1941955Z     out = F.relu_(out)
2025-11-03T16:44:53.1942056Z 
2025-11-03T16:44:53.1942156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1942619Z    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
2025-11-03T16:44:53.1943080Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1943431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1943790Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1944147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1944490Z     x = stage(x)
2025-11-03T16:44:53.1944794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1945147Z     out = self.conv3(out)
2025-11-03T16:44:53.1945461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1945786Z     x = F.conv2d(
2025-11-03T16:44:53.1945873Z 
2025-11-03T16:44:53.1945977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1946459Z    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
2025-11-03T16:44:53.1946902Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1947260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1947624Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1947990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1948330Z     x = stage(x)
2025-11-03T16:44:53.1948650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.1949001Z     out = F.relu_(out)
2025-11-03T16:44:53.1949100Z 
2025-11-03T16:44:53.1949206Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1949666Z    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
2025-11-03T16:44:53.1950114Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1950473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1950838Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1951199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1951541Z     x = stage(x)
2025-11-03T16:44:53.1951860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1952211Z     out = self.conv1(x)
2025-11-03T16:44:53.1952523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1952853Z     x = F.conv2d(
2025-11-03T16:44:53.1952940Z 
2025-11-03T16:44:53.1953041Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1953504Z    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
2025-11-03T16:44:53.1953951Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1954328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1954692Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1955066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1955420Z     x = stage(x)
2025-11-03T16:44:53.1955746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1956122Z     out = F.relu_(out)
2025-11-03T16:44:53.1956219Z 
2025-11-03T16:44:53.1956324Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1956808Z    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
2025-11-03T16:44:53.1957273Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1957652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1958125Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1958540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1958943Z     x = stage(x)
2025-11-03T16:44:53.1959361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1959738Z     out = self.conv2(out)
2025-11-03T16:44:53.1960116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1960456Z     x = F.conv2d(
2025-11-03T16:44:53.1960555Z 
2025-11-03T16:44:53.1960656Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1961127Z    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
2025-11-03T16:44:53.1961584Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1961947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1962318Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1962693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1963050Z     x = stage(x)
2025-11-03T16:44:53.1963379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1963737Z     out = F.relu_(out)
2025-11-03T16:44:53.1963846Z 
2025-11-03T16:44:53.1963948Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1964428Z    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
2025-11-03T16:44:53.1964898Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1965278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1965654Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1966036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1966401Z     x = stage(x)
2025-11-03T16:44:53.1966734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1967308Z     out = self.conv3(out)
2025-11-03T16:44:53.1967656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1968009Z     x = F.conv2d(
2025-11-03T16:44:53.1968104Z 
2025-11-03T16:44:53.1968220Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1968757Z    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
2025-11-03T16:44:53.1969216Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1969591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1969971Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1970395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1970752Z     x = stage(x)
2025-11-03T16:44:53.1971092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.1971462Z     out = F.relu_(out)
2025-11-03T16:44:53.1971564Z 
2025-11-03T16:44:53.1971683Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1972164Z    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
2025-11-03T16:44:53.1972623Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1973002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1973381Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1973763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1974125Z     x = stage(x)
2025-11-03T16:44:53.1974506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1974869Z     out = self.conv1(x)
2025-11-03T16:44:53.1975189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1975530Z     x = F.conv2d(
2025-11-03T16:44:53.1975617Z 
2025-11-03T16:44:53.1975718Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1976186Z    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
2025-11-03T16:44:53.1976638Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1977006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1977381Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1977746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1978102Z     x = stage(x)
2025-11-03T16:44:53.1978428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.1978787Z     out = F.relu_(out)
2025-11-03T16:44:53.1978884Z 
2025-11-03T16:44:53.1978991Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1979456Z    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
2025-11-03T16:44:53.1979907Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1980273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1980647Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1981021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1981378Z     x = stage(x)
2025-11-03T16:44:53.1981700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.1982082Z     out = self.conv2(out)
2025-11-03T16:44:53.1982408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1982745Z     x = F.conv2d(
2025-11-03T16:44:53.1982834Z 
2025-11-03T16:44:53.1982942Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1983407Z    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
2025-11-03T16:44:53.1983884Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1984253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1984626Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1984988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1985342Z     x = stage(x)
2025-11-03T16:44:53.1985670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.1986027Z     out = F.relu_(out)
2025-11-03T16:44:53.1986127Z 
2025-11-03T16:44:53.1986235Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1986699Z    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
2025-11-03T16:44:53.1987155Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1987523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1987927Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1988300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1988650Z     x = stage(x)
2025-11-03T16:44:53.1988980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.1989343Z     out = self.conv3(out)
2025-11-03T16:44:53.1989672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1990006Z     x = F.conv2d(
2025-11-03T16:44:53.1990102Z 
2025-11-03T16:44:53.1990204Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1990685Z    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
2025-11-03T16:44:53.1991145Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1991514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1991877Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1992258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1992629Z     x = stage(x)
2025-11-03T16:44:53.1992963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.1993337Z     out = F.relu_(out)
2025-11-03T16:44:53.1993436Z 
2025-11-03T16:44:53.1993540Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1994026Z    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
2025-11-03T16:44:53.1994502Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1994887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward
2025-11-03T16:44:53.1995283Z     lateral_features = lateral_conv(features)
2025-11-03T16:44:53.1995647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.1996027Z     x = F.conv2d(
2025-11-03T16:44:53.1996124Z 
2025-11-03T16:44:53.1996241Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.1996757Z    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
2025-11-03T16:44:53.1997243Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.1997705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.1998216Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.1998641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.1999041Z     x = stage(x)
2025-11-03T16:44:53.1999400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.1999822Z     out = self.conv1(x)
2025-11-03T16:44:53.2000167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2000532Z     x = F.conv2d(
2025-11-03T16:44:53.2000640Z 
2025-11-03T16:44:53.2000747Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2001255Z    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
2025-11-03T16:44:53.2001749Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2002185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2002585Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2002968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2003337Z     x = stage(x)
2025-11-03T16:44:53.2003669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.2004042Z     out = F.relu_(out)
2025-11-03T16:44:53.2004148Z 
2025-11-03T16:44:53.2004250Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2004732Z    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
2025-11-03T16:44:53.2005200Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2005582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2005944Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2006306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2006654Z     x = stage(x)
2025-11-03T16:44:53.2006972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.2007319Z     out = self.conv2(out)
2025-11-03T16:44:53.2007636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2007957Z     x = F.conv2d(
2025-11-03T16:44:53.2008043Z 
2025-11-03T16:44:53.2008147Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2008601Z    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
2025-11-03T16:44:53.2009048Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2009404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2009768Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2010150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2010490Z     x = stage(x)
2025-11-03T16:44:53.2010802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.2011149Z     out = F.relu_(out)
2025-11-03T16:44:53.2011245Z 
2025-11-03T16:44:53.2011351Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2011833Z    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
2025-11-03T16:44:53.2012278Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2012638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2013002Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2013366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2013710Z     x = stage(x)
2025-11-03T16:44:53.2014032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.2014396Z     out = self.conv3(out)
2025-11-03T16:44:53.2014723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2015061Z     x = F.conv2d(
2025-11-03T16:44:53.2015152Z 
2025-11-03T16:44:53.2015253Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2015771Z    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
2025-11-03T16:44:53.2016225Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2016596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2016964Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2017326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2017679Z     x = stage(x)
2025-11-03T16:44:53.2018002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:44:53.2018368Z     shortcut = self.shortcut(x)
2025-11-03T16:44:53.2018698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2019039Z     x = F.conv2d(
2025-11-03T16:44:53.2019134Z 
2025-11-03T16:44:53.2019233Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2019692Z    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
2025-11-03T16:44:53.2020135Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2020484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2020847Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2021207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2021546Z     x = stage(x)
2025-11-03T16:44:53.2021866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.2022206Z     out = self.conv1(x)
2025-11-03T16:44:53.2022518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2022841Z     x = F.conv2d(
2025-11-03T16:44:53.2022925Z 
2025-11-03T16:44:53.2023031Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2023508Z    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
2025-11-03T16:44:53.2023961Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2024329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2024698Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2025069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2025437Z     x = stage(x)
2025-11-03T16:44:53.2025770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.2026129Z     out = F.relu_(out)
2025-11-03T16:44:53.2026228Z 
2025-11-03T16:44:53.2026336Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2026808Z    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
2025-11-03T16:44:53.2027270Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2027629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2027991Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2028353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2028695Z     x = stage(x)
2025-11-03T16:44:53.2029062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.2029414Z     out = self.conv2(out)
2025-11-03T16:44:53.2029735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2030059Z     x = F.conv2d(
2025-11-03T16:44:53.2030146Z 
2025-11-03T16:44:53.2030246Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2030721Z    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
2025-11-03T16:44:53.2031178Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2031545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2031914Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2032284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2032638Z     x = stage(x)
2025-11-03T16:44:53.2032962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.2033324Z     out = F.relu_(out)
2025-11-03T16:44:53.2033425Z 
2025-11-03T16:44:53.2033529Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2034013Z    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
2025-11-03T16:44:53.2034482Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2034859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2035233Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2035607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2036006Z     x = stage(x)
2025-11-03T16:44:53.2036362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.2036764Z     out = self.conv3(out)
2025-11-03T16:44:53.2037125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2037486Z     x = F.conv2d(
2025-11-03T16:44:53.2037585Z 
2025-11-03T16:44:53.2037689Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2038269Z    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
2025-11-03T16:44:53.2038772Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2039189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2039608Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2039987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2040354Z     x = stage(x)
2025-11-03T16:44:53.2040673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.2041018Z     out = F.relu_(out)
2025-11-03T16:44:53.2041122Z 
2025-11-03T16:44:53.2041219Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2041677Z    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
2025-11-03T16:44:53.2042117Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2042476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2042828Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2043225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2043573Z     x = stage(x)
2025-11-03T16:44:53.2043890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:44:53.2044236Z     out = self.conv1(x)
2025-11-03T16:44:53.2044554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2044882Z     x = F.conv2d(
2025-11-03T16:44:53.2044968Z 
2025-11-03T16:44:53.2045074Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2045540Z    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
2025-11-03T16:44:53.2045982Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2046346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2046710Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2047072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2047421Z     x = stage(x)
2025-11-03T16:44:53.2047733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:44:53.2048090Z     out = F.relu_(out)
2025-11-03T16:44:53.2048196Z 
2025-11-03T16:44:53.2048298Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2048761Z    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
2025-11-03T16:44:53.2049211Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2049567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2049928Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2050292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2050664Z     x = stage(x)
2025-11-03T16:44:53.2050983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:44:53.2051350Z     out = self.conv2(out)
2025-11-03T16:44:53.2051675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2052009Z     x = F.conv2d(
2025-11-03T16:44:53.2052100Z 
2025-11-03T16:44:53.2052221Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2052683Z    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
2025-11-03T16:44:53.2053123Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2053473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2053829Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2054180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2054517Z     x = stage(x)
2025-11-03T16:44:53.2054829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:44:53.2055177Z     out = F.relu_(out)
2025-11-03T16:44:53.2055270Z 
2025-11-03T16:44:53.2055375Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2055821Z    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
2025-11-03T16:44:53.2056290Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2056639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2056990Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2057355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2057412Z     x = stage(x)
2025-11-03T16:44:53.2057640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:44:53.2057710Z     out = self.conv3(out)
2025-11-03T16:44:53.2057919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2057985Z     x = F.conv2d(
2025-11-03T16:44:53.2057988Z 
2025-11-03T16:44:53.2058087Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2058397Z    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
2025-11-03T16:44:53.2058482Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2058706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
2025-11-03T16:44:53.2058791Z     bottom_up_features = self.bottom_up(x)
2025-11-03T16:44:53.2059018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward
2025-11-03T16:44:53.2059080Z     x = stage(x)
2025-11-03T16:44:53.2059306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:44:53.2059369Z     out = F.relu_(out)
2025-11-03T16:44:53.2059372Z 
2025-11-03T16:44:53.2059477Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2059783Z    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
2025-11-03T16:44:53.2059869Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2060098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward
2025-11-03T16:44:53.2060274Z     prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]])
2025-11-03T16:44:53.2060490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:44:53.2060548Z     x = F.conv2d(
2025-11-03T16:44:53.2060551Z 
2025-11-03T16:44:53.2060653Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2060957Z    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
2025-11-03T16:44:53.2061059Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2061282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:44:53.2061386Z     prev_features = lateral_features + top_down_features
2025-11-03T16:44:53.2061390Z 
2025-11-03T16:44:53.2061496Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2061806Z    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
2025-11-03T16:44:53.2061888Z     features = self.backbone(images.tensor)
2025-11-03T16:44:53.2062105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward
2025-11-03T16:44:53.2062209Z     prev_features = lateral_features + top_down_features
2025-11-03T16:44:53.2062214Z 
2025-11-03T16:44:53.2062295Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2062390Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2062725Z    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
2025-11-03T16:44:53.2062804Z     predictions = self.head(features)
2025-11-03T16:44:53.2063037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2063148Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2063152Z 
2025-11-03T16:44:53.2063245Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2063551Z    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
2025-11-03T16:44:53.2063628Z     predictions = self.head(features)
2025-11-03T16:44:53.2063861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2063972Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2063975Z 
2025-11-03T16:44:53.2064078Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2064381Z    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
2025-11-03T16:44:53.2064457Z     predictions = self.head(features)
2025-11-03T16:44:53.2064693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2064801Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2064805Z 
2025-11-03T16:44:53.2064908Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2065213Z    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
2025-11-03T16:44:53.2065296Z     predictions = self.head(features)
2025-11-03T16:44:53.2065521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2065625Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2065650Z 
2025-11-03T16:44:53.2065761Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2066064Z    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
2025-11-03T16:44:53.2066144Z     predictions = self.head(features)
2025-11-03T16:44:53.2066370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2066521Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2066525Z 
2025-11-03T16:44:53.2066619Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2067080Z    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
2025-11-03T16:44:53.2067169Z     predictions = self.head(features)
2025-11-03T16:44:53.2067400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2067514Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2067517Z 
2025-11-03T16:44:53.2067614Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2067930Z    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
2025-11-03T16:44:53.2068005Z     predictions = self.head(features)
2025-11-03T16:44:53.2068232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2068460Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2068463Z 
2025-11-03T16:44:53.2068562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2068874Z    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
2025-11-03T16:44:53.2068949Z     predictions = self.head(features)
2025-11-03T16:44:53.2069183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2069297Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2069300Z 
2025-11-03T16:44:53.2069381Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2069467Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2069567Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2069882Z    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
2025-11-03T16:44:53.2069956Z     predictions = self.head(features)
2025-11-03T16:44:53.2070182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2070296Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2070301Z 
2025-11-03T16:44:53.2070396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2070708Z    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
2025-11-03T16:44:53.2070781Z     predictions = self.head(features)
2025-11-03T16:44:53.2071006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2071119Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2071122Z 
2025-11-03T16:44:53.2071222Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2071534Z    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
2025-11-03T16:44:53.2071633Z     predictions = self.head(features)
2025-11-03T16:44:53.2071862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2071966Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2071969Z 
2025-11-03T16:44:53.2072065Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2072382Z    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
2025-11-03T16:44:53.2072476Z     predictions = self.head(features)
2025-11-03T16:44:53.2072714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2072818Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2072821Z 
2025-11-03T16:44:53.2072923Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2073237Z    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
2025-11-03T16:44:53.2073308Z     predictions = self.head(features)
2025-11-03T16:44:53.2073542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2073645Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2073650Z 
2025-11-03T16:44:53.2073751Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2074161Z    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
2025-11-03T16:44:53.2074239Z     predictions = self.head(features)
2025-11-03T16:44:53.2074466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2074571Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2074574Z 
2025-11-03T16:44:53.2074679Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2074990Z    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
2025-11-03T16:44:53.2075072Z     predictions = self.head(features)
2025-11-03T16:44:53.2075305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2075412Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2075423Z 
2025-11-03T16:44:53.2075523Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2075835Z    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
2025-11-03T16:44:53.2075917Z     predictions = self.head(features)
2025-11-03T16:44:53.2076150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2076264Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2076267Z 
2025-11-03T16:44:53.2076356Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2076430Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2076535Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2076847Z    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
2025-11-03T16:44:53.2076929Z     predictions = self.head(features)
2025-11-03T16:44:53.2077153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2077267Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2077285Z 
2025-11-03T16:44:53.2077384Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2077709Z    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
2025-11-03T16:44:53.2077799Z     predictions = self.head(features)
2025-11-03T16:44:53.2078120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2078269Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2078273Z 
2025-11-03T16:44:53.2078380Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2078725Z    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
2025-11-03T16:44:53.2078808Z     predictions = self.head(features)
2025-11-03T16:44:53.2079059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2079178Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2079181Z 
2025-11-03T16:44:53.2079282Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2079608Z    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
2025-11-03T16:44:53.2079686Z     predictions = self.head(features)
2025-11-03T16:44:53.2079923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2080069Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2080073Z 
2025-11-03T16:44:53.2080176Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2080510Z    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
2025-11-03T16:44:53.2080589Z     predictions = self.head(features)
2025-11-03T16:44:53.2080837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2080948Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2080951Z 
2025-11-03T16:44:53.2081055Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2081391Z    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
2025-11-03T16:44:53.2081471Z     predictions = self.head(features)
2025-11-03T16:44:53.2081720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2081829Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2081834Z 
2025-11-03T16:44:53.2081945Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2082267Z    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
2025-11-03T16:44:53.2082341Z     predictions = self.head(features)
2025-11-03T16:44:53.2082589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2082698Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2082701Z 
2025-11-03T16:44:53.2082809Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2083133Z    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
2025-11-03T16:44:53.2083215Z     predictions = self.head(features)
2025-11-03T16:44:53.2083452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2083575Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2083578Z 
2025-11-03T16:44:53.2083666Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2083743Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2083850Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2084174Z    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
2025-11-03T16:44:53.2084277Z     predictions = self.head(features)
2025-11-03T16:44:53.2084528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2084638Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2084641Z 
2025-11-03T16:44:53.2084748Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2085072Z    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
2025-11-03T16:44:53.2085154Z     predictions = self.head(features)
2025-11-03T16:44:53.2085391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2085498Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2085503Z 
2025-11-03T16:44:53.2085612Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2085963Z    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
2025-11-03T16:44:53.2086047Z     predictions = self.head(features)
2025-11-03T16:44:53.2086298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2086412Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2086415Z 
2025-11-03T16:44:53.2086514Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2086828Z    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
2025-11-03T16:44:53.2086909Z     predictions = self.head(features)
2025-11-03T16:44:53.2087141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2087255Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2087258Z 
2025-11-03T16:44:53.2087359Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2087674Z    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
2025-11-03T16:44:53.2087757Z     predictions = self.head(features)
2025-11-03T16:44:53.2087993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2088108Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2088111Z 
2025-11-03T16:44:53.2088210Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2088538Z    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
2025-11-03T16:44:53.2088615Z     predictions = self.head(features)
2025-11-03T16:44:53.2088858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2088973Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2088976Z 
2025-11-03T16:44:53.2089076Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2089431Z    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
2025-11-03T16:44:53.2089505Z     predictions = self.head(features)
2025-11-03T16:44:53.2089752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2089859Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2089879Z 
2025-11-03T16:44:53.2089980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2090313Z    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
2025-11-03T16:44:53.2090390Z     predictions = self.head(features)
2025-11-03T16:44:53.2090638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2090745Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2090749Z 
2025-11-03T16:44:53.2090835Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2090912Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2091012Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2091341Z    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
2025-11-03T16:44:53.2091418Z     predictions = self.head(features)
2025-11-03T16:44:53.2091663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2091806Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2091809Z 
2025-11-03T16:44:53.2091910Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2092236Z    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
2025-11-03T16:44:53.2092314Z     predictions = self.head(features)
2025-11-03T16:44:53.2092558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2092665Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2092668Z 
2025-11-03T16:44:53.2092773Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2093092Z    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
2025-11-03T16:44:53.2093171Z     predictions = self.head(features)
2025-11-03T16:44:53.2093418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2093528Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2093532Z 
2025-11-03T16:44:53.2093639Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2093957Z    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
2025-11-03T16:44:53.2097911Z     predictions = self.head(features)
2025-11-03T16:44:53.2098189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2098301Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2098306Z 
2025-11-03T16:44:53.2098412Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2098725Z    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
2025-11-03T16:44:53.2098799Z     predictions = self.head(features)
2025-11-03T16:44:53.2099031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2099164Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2099167Z 
2025-11-03T16:44:53.2099272Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2099617Z    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
2025-11-03T16:44:53.2099714Z     predictions = self.head(features)
2025-11-03T16:44:53.2099946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2100049Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2100053Z 
2025-11-03T16:44:53.2100156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2100458Z    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
2025-11-03T16:44:53.2100529Z     predictions = self.head(features)
2025-11-03T16:44:53.2100759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2100863Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2100866Z 
2025-11-03T16:44:53.2100968Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2101272Z    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
2025-11-03T16:44:53.2101365Z     predictions = self.head(features)
2025-11-03T16:44:53.2101589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2101689Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2101693Z 
2025-11-03T16:44:53.2101776Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2101871Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2102176Z    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
2025-11-03T16:44:53.2102249Z     predictions = self.head(features)
2025-11-03T16:44:53.2102471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2102562Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2102566Z 
2025-11-03T16:44:53.2102660Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2102966Z    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
2025-11-03T16:44:53.2103035Z     predictions = self.head(features)
2025-11-03T16:44:53.2103266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2103348Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2103352Z 
2025-11-03T16:44:53.2103445Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2103817Z    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
2025-11-03T16:44:53.2103894Z     predictions = self.head(features)
2025-11-03T16:44:53.2104130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2104212Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2104215Z 
2025-11-03T16:44:53.2104318Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2104622Z    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
2025-11-03T16:44:53.2104722Z     predictions = self.head(features)
2025-11-03T16:44:53.2104947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2105024Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2105028Z 
2025-11-03T16:44:53.2105128Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2105428Z    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
2025-11-03T16:44:53.2105522Z     predictions = self.head(features)
2025-11-03T16:44:53.2105744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2105819Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2105822Z 
2025-11-03T16:44:53.2105926Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2106227Z    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
2025-11-03T16:44:53.2106305Z     predictions = self.head(features)
2025-11-03T16:44:53.2106527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2106604Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2106609Z 
2025-11-03T16:44:53.2106708Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2107025Z    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
2025-11-03T16:44:53.2107104Z     predictions = self.head(features)
2025-11-03T16:44:53.2107323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2107406Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2107410Z 
2025-11-03T16:44:53.2107501Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2107795Z    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
2025-11-03T16:44:53.2107873Z     predictions = self.head(features)
2025-11-03T16:44:53.2108093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2108178Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2108181Z 
2025-11-03T16:44:53.2108255Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2108346Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2108650Z    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
2025-11-03T16:44:53.2108722Z     predictions = self.head(features)
2025-11-03T16:44:53.2108947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2109024Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2109054Z 
2025-11-03T16:44:53.2109156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2109455Z    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
2025-11-03T16:44:53.2109526Z     predictions = self.head(features)
2025-11-03T16:44:53.2109756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2109832Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2109836Z 
2025-11-03T16:44:53.2109935Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2110246Z    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
2025-11-03T16:44:53.2110324Z     predictions = self.head(features)
2025-11-03T16:44:53.2110541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2110617Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2110636Z 
2025-11-03T16:44:53.2110737Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2111033Z    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
2025-11-03T16:44:53.2111111Z     predictions = self.head(features)
2025-11-03T16:44:53.2111329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2111413Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2111417Z 
2025-11-03T16:44:53.2111509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2111804Z    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
2025-11-03T16:44:53.2111881Z     predictions = self.head(features)
2025-11-03T16:44:53.2112099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2112184Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2112187Z 
2025-11-03T16:44:53.2112305Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2112597Z    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
2025-11-03T16:44:53.2112674Z     predictions = self.head(features)
2025-11-03T16:44:53.2112894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2112977Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2112981Z 
2025-11-03T16:44:53.2113072Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2113383Z    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
2025-11-03T16:44:53.2113455Z     predictions = self.head(features)
2025-11-03T16:44:53.2113679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2113761Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2113765Z 
2025-11-03T16:44:53.2113857Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2114173Z    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
2025-11-03T16:44:53.2114248Z     predictions = self.head(features)
2025-11-03T16:44:53.2114479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2114576Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2114579Z 
2025-11-03T16:44:53.2114654Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2114757Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2115060Z    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
2025-11-03T16:44:53.2115136Z     predictions = self.head(features)
2025-11-03T16:44:53.2115359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2115455Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2115464Z 
2025-11-03T16:44:53.2115559Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2115865Z    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
2025-11-03T16:44:53.2115943Z     predictions = self.head(features)
2025-11-03T16:44:53.2116169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2116270Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2116274Z 
2025-11-03T16:44:53.2116369Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2116674Z    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
2025-11-03T16:44:53.2116751Z     predictions = self.head(features)
2025-11-03T16:44:53.2116973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2117057Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2117060Z 
2025-11-03T16:44:53.2117154Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2117469Z    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
2025-11-03T16:44:53.2117541Z     predictions = self.head(features)
2025-11-03T16:44:53.2117766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2117947Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2117954Z 
2025-11-03T16:44:53.2118068Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2118422Z    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
2025-11-03T16:44:53.2118503Z     predictions = self.head(features)
2025-11-03T16:44:53.2118752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2118847Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2118851Z 
2025-11-03T16:44:53.2118960Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2119313Z    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
2025-11-03T16:44:53.2119393Z     predictions = self.head(features)
2025-11-03T16:44:53.2119652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2119731Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2119734Z 
2025-11-03T16:44:53.2119835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2120159Z    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
2025-11-03T16:44:53.2120232Z     predictions = self.head(features)
2025-11-03T16:44:53.2120489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2120569Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2120574Z 
2025-11-03T16:44:53.2120689Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2120992Z    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
2025-11-03T16:44:53.2121064Z     predictions = self.head(features)
2025-11-03T16:44:53.2121293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2121389Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2121393Z 
2025-11-03T16:44:53.2121477Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2121571Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2121876Z    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
2025-11-03T16:44:53.2121972Z     predictions = self.head(features)
2025-11-03T16:44:53.2122200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2122286Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2122289Z 
2025-11-03T16:44:53.2122387Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2122706Z    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
2025-11-03T16:44:53.2122779Z     predictions = self.head(features)
2025-11-03T16:44:53.2123002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2123086Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2123092Z 
2025-11-03T16:44:53.2123188Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2123500Z    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
2025-11-03T16:44:53.2123572Z     predictions = self.head(features)
2025-11-03T16:44:53.2123824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2123901Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2123905Z 
2025-11-03T16:44:53.2123999Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2124311Z    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
2025-11-03T16:44:53.2124382Z     predictions = self.head(features)
2025-11-03T16:44:53.2124614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2124690Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2124695Z 
2025-11-03T16:44:53.2124797Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2125101Z    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
2025-11-03T16:44:53.2125171Z     predictions = self.head(features)
2025-11-03T16:44:53.2125402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2125480Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2125483Z 
2025-11-03T16:44:53.2125584Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2125902Z    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
2025-11-03T16:44:53.2125976Z     predictions = self.head(features)
2025-11-03T16:44:53.2126209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2126289Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2126292Z 
2025-11-03T16:44:53.2126395Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2126699Z    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
2025-11-03T16:44:53.2126778Z     predictions = self.head(features)
2025-11-03T16:44:53.2127033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2127109Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2127112Z 
2025-11-03T16:44:53.2127215Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2127514Z    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
2025-11-03T16:44:53.2127609Z     predictions = self.head(features)
2025-11-03T16:44:53.2127836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2127920Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2127923Z 
2025-11-03T16:44:53.2127997Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2128092Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2128405Z    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
2025-11-03T16:44:53.2128475Z     predictions = self.head(features)
2025-11-03T16:44:53.2128720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2128799Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2128804Z 
2025-11-03T16:44:53.2128909Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2129229Z    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
2025-11-03T16:44:53.2129310Z     predictions = self.head(features)
2025-11-03T16:44:53.2129531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2129609Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2129612Z 
2025-11-03T16:44:53.2129712Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2130016Z    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
2025-11-03T16:44:53.2130095Z     predictions = self.head(features)
2025-11-03T16:44:53.2130318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2130395Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2130406Z 
2025-11-03T16:44:53.2130503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2130803Z    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
2025-11-03T16:44:53.2130881Z     predictions = self.head(features)
2025-11-03T16:44:53.2131107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2131189Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2131192Z 
2025-11-03T16:44:53.2131284Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2131601Z    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
2025-11-03T16:44:53.2131683Z     predictions = self.head(features)
2025-11-03T16:44:53.2131909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2131993Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2131997Z 
2025-11-03T16:44:53.2132092Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2132407Z    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
2025-11-03T16:44:53.2132498Z     predictions = self.head(features)
2025-11-03T16:44:53.2132721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2132805Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2132808Z 
2025-11-03T16:44:53.2132902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2133237Z    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
2025-11-03T16:44:53.2133309Z     predictions = self.head(features)
2025-11-03T16:44:53.2133533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2133618Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2133621Z 
2025-11-03T16:44:53.2133718Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2134026Z    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
2025-11-03T16:44:53.2134096Z     predictions = self.head(features)
2025-11-03T16:44:53.2134325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward
2025-11-03T16:44:53.2134401Z     bbox_feature = self.bbox_subnet(feature)
2025-11-03T16:44:53.2134406Z 
2025-11-03T16:44:53.2134479Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2134581Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2134903Z    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
2025-11-03T16:44:53.2134982Z     predictions = self.head(features)
2025-11-03T16:44:53.2135209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2135322Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2135325Z 
2025-11-03T16:44:53.2135419Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2135731Z    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
2025-11-03T16:44:53.2135811Z     predictions = self.head(features)
2025-11-03T16:44:53.2136039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2136156Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2136159Z 
2025-11-03T16:44:53.2136254Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2136565Z    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
2025-11-03T16:44:53.2136637Z     predictions = self.head(features)
2025-11-03T16:44:53.2136863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2136993Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2136996Z 
2025-11-03T16:44:53.2137092Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2137404Z    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
2025-11-03T16:44:53.2137475Z     predictions = self.head(features)
2025-11-03T16:44:53.2137700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2137809Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2137831Z 
2025-11-03T16:44:53.2137926Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2138235Z    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
2025-11-03T16:44:53.2138308Z     predictions = self.head(features)
2025-11-03T16:44:53.2138538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward
2025-11-03T16:44:53.2138660Z     logits.append(self.cls_score(self.cls_subnet(feature)))
2025-11-03T16:44:53.2138663Z 
2025-11-03T16:44:53.2138758Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2139067Z    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
2025-11-03T16:44:53.2139139Z     predictions = self.head(features)
2025-11-03T16:44:53.2139370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward
2025-11-03T16:44:53.2139463Z     bbox_reg.append(self.bbox_pred(bbox_feature))
2025-11-03T16:44:53.2139466Z 
2025-11-03T16:44:53.2139569Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2139875Z    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
2025-11-03T16:44:53.2139945Z     predictions = self.head(features)
2025-11-03T16:44:53.2140177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward
2025-11-03T16:44:53.2140287Z     bbox_reg.append(self.bbox_pred(bbox_feature))
2025-11-03T16:44:53.2140290Z 
2025-11-03T16:44:53.2140393Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2140691Z    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
2025-11-03T16:44:53.2140772Z     predictions = self.head(features)
2025-11-03T16:44:53.2140998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward
2025-11-03T16:44:53.2141087Z     bbox_reg.append(self.bbox_pred(bbox_feature))
2025-11-03T16:44:53.2141092Z 
2025-11-03T16:44:53.2141197Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2141506Z    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
2025-11-03T16:44:53.2141586Z     predictions = self.head(features)
2025-11-03T16:44:53.2141811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward
2025-11-03T16:44:53.2141899Z     bbox_reg.append(self.bbox_pred(bbox_feature))
2025-11-03T16:44:53.2141913Z 
2025-11-03T16:44:53.2142008Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:44:53.2142311Z    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
2025-11-03T16:44:53.2142389Z     predictions = self.head(features)
2025-11-03T16:44:53.2142629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward
2025-11-03T16:44:53.2142723Z     bbox_reg.append(self.bbox_pred(bbox_feature))
2025-11-03T16:44:53.2142728Z 
2025-11-03T16:44:53.2142803Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2142878Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2142966Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2143039Z cudagraph partition due to non gpu ops
2025-11-03T16:44:53.2143118Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0711189Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0713011Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0713889Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0716647Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0716990Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0717223Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0717429Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0717778Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0718146Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0719178Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0719397Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0719613Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0719841Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0720056Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0722130Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0722480Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0722693Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0722916Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0723121Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0723319Z cudagraph partition due to non gpu ops
2025-11-03T16:45:03.0723553Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:03.0724012Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:45:03.0724467Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:45:03.0724942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:45:03.0725616Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:45:03.0725799Z 
2025-11-03T16:45:03.0725919Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:03.0726330Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:45:03.0726778Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:45:03.0727243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:45:03.0727679Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:45:03.0727850Z 
2025-11-03T16:45:03.0727962Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:03.0728377Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:45:03.0728840Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:45:03.0729290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:45:03.0729714Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:45:03.0729883Z 
2025-11-03T16:45:03.0729988Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:03.0730383Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:45:03.0730893Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:45:03.0731330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:45:03.0731741Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:45:03.0731900Z 
2025-11-03T16:45:03.0732000Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:03.0732379Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:45:03.0732798Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:45:03.0733279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors
2025-11-03T16:45:03.0733693Z     shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1)
2025-11-03T16:45:03.0733857Z 
2025-11-03T16:45:03.0733956Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:03.0734338Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:45:03.0734799Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:45:03.0735239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:45:03.0735687Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:45:03.0735884Z 
2025-11-03T16:45:03.0735982Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:03.0736360Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:45:03.0736778Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:45:03.0737211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:45:03.0737654Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:45:03.0737849Z 
2025-11-03T16:45:03.0737944Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:03.0738338Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:45:03.0738764Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:45:03.0739200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:45:03.0739636Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:45:03.0739825Z 
2025-11-03T16:45:03.0739920Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:03.0740304Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:45:03.0740724Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:45:03.0741163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:45:03.0741610Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:45:03.0741804Z 
2025-11-03T16:45:03.0741903Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:03.0742290Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward
2025-11-03T16:45:03.0742728Z     anchors_over_all_feature_maps = self._grid_anchors(grid_sizes)  # pyre-ignore
2025-11-03T16:45:03.0743198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors
2025-11-03T16:45:03.0743652Z     anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4))
2025-11-03T16:45:03.0743851Z 
2025-11-03T16:45:04.2691675Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:04.2692352Z    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
2025-11-03T16:45:04.2692874Z     keep_idxs = pred_scores > score_thresh
2025-11-03T16:45:04.2693030Z 
2025-11-03T16:45:05.2212609Z cudagraph partition due to non gpu ops
2025-11-03T16:45:05.2214796Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:05.2215951Z    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
2025-11-03T16:45:05.2219207Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:45:05.2219483Z 
2025-11-03T16:45:05.2219996Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:05.2220605Z    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
2025-11-03T16:45:05.2221270Z     topk_idxs = topk_idxs[idxs]
2025-11-03T16:45:05.2223285Z 
2025-11-03T16:45:05.2223681Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:05.2224267Z    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
2025-11-03T16:45:05.2224804Z     pred_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:45:05.2225222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas
2025-11-03T16:45:05.2225671Z     strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1)
2025-11-03T16:45:05.2227797Z 
2025-11-03T16:45:05.2232902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:05.2233545Z    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
2025-11-03T16:45:05.2234349Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:45:05.2234529Z 
2025-11-03T16:45:06.6306415Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:06.6307104Z    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
2025-11-03T16:45:06.6307698Z     keep_idxs = pred_scores > score_thresh
2025-11-03T16:45:06.6307879Z 
2025-11-03T16:45:09.2640815Z cudagraph partition due to non gpu ops
2025-11-03T16:45:09.2641210Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:09.2641973Z    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
2025-11-03T16:45:09.2642528Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:45:09.2642700Z 
2025-11-03T16:45:09.2642813Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:09.2643377Z    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
2025-11-03T16:45:09.2643891Z     topk_idxs = topk_idxs[idxs]
2025-11-03T16:45:09.2644016Z 
2025-11-03T16:45:09.2644135Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:09.2644713Z    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
2025-11-03T16:45:09.2645277Z     pred_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:45:09.2646109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas
2025-11-03T16:45:09.2646655Z     strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1)
2025-11-03T16:45:09.2646895Z 
2025-11-03T16:45:09.2647010Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:09.2647645Z    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
2025-11-03T16:45:09.2648181Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:45:09.2648395Z 
2025-11-03T16:45:11.0395086Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0395455Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0395697Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0395940Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0396222Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0396447Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0396672Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0397266Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0397509Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0397744Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0398115Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0398341Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0398570Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0398912Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0399129Z cudagraph partition due to non gpu ops
2025-11-03T16:45:11.0399402Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:11.0400062Z    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
2025-11-03T16:45:11.0400739Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:45:11.0401247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat
2025-11-03T16:45:11.0401631Z     values = torch.cat(values, dim=0)
2025-11-03T16:45:11.0401780Z 
2025-11-03T16:45:11.0401977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:11.0402598Z    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
2025-11-03T16:45:11.0403236Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:45:11.0403679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat
2025-11-03T16:45:11.0404041Z     values = torch.cat(values, dim=0)
2025-11-03T16:45:11.0404178Z 
2025-11-03T16:45:11.0404285Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:11.0404814Z    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
2025-11-03T16:45:11.0405406Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:45:11.0405848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 180, in cat
2025-11-03T16:45:11.0406205Z     values = type(v0).cat(values)
2025-11-03T16:45:11.0406545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 295, in cat
2025-11-03T16:45:11.0406940Z     cat_boxes = cls(torch.cat([b.tensor for b in boxes_list], dim=0))
2025-11-03T16:45:11.0407115Z 
2025-11-03T16:45:12.2478408Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:12.2480163Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:45:12.2480672Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:45:12.2480866Z 
2025-11-03T16:45:12.6773702Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:12.6775527Z    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
2025-11-03T16:45:12.6776054Z     return pred[keep[: self.max_detections_per_image]]
2025-11-03T16:45:12.6776464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 141, in __getitem__
2025-11-03T16:45:12.6777192Z     ret.set(k, v[item])
2025-11-03T16:45:12.6777537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__
2025-11-03T16:45:12.6777939Z     b = self.tensor[item]
2025-11-03T16:45:12.6778061Z 
2025-11-03T16:45:15.0842562Z cudagraph partition due to non gpu ops
2025-11-03T16:45:15.0843159Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:15.0844273Z    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
2025-11-03T16:45:15.0845371Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:45:15.0845614Z 
2025-11-03T16:45:15.0845938Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:15.0846460Z    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
2025-11-03T16:45:15.0847007Z     topk_idxs = topk_idxs[idxs]
2025-11-03T16:45:15.0851552Z 
2025-11-03T16:45:15.0856325Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:15.0858723Z    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
2025-11-03T16:45:15.0859367Z     pred_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:45:15.0862051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas
2025-11-03T16:45:15.0862731Z     strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1)
2025-11-03T16:45:15.0865261Z 
2025-11-03T16:45:15.0865410Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:15.0865926Z    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
2025-11-03T16:45:15.0866493Z     pred_scores, idxs = pred_scores.topk(num_topk)
2025-11-03T16:45:15.0870837Z 
2025-11-03T16:45:16.5176151Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5180103Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5182225Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5182575Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5185628Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5185988Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5191605Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5192035Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5192281Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5192486Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5192689Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5192882Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5193091Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5193291Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5193488Z cudagraph partition due to non gpu ops
2025-11-03T16:45:16.5193714Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:16.5194646Z    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
2025-11-03T16:45:16.5195253Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:45:16.5195705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat
2025-11-03T16:45:16.5196063Z     values = torch.cat(values, dim=0)
2025-11-03T16:45:16.5196193Z 
2025-11-03T16:45:16.5196301Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:16.5196832Z    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
2025-11-03T16:45:16.5197514Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:45:16.5198076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat
2025-11-03T16:45:16.5198480Z     values = torch.cat(values, dim=0)
2025-11-03T16:45:16.5198622Z 
2025-11-03T16:45:16.5198807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:16.5199384Z    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
2025-11-03T16:45:16.5200006Z     return predictions[0].cat(predictions)  # 'Instances.cat' is not scriptale but this is
2025-11-03T16:45:16.5200489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 180, in cat
2025-11-03T16:45:16.5200882Z     values = type(v0).cat(values)
2025-11-03T16:45:16.5201247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 295, in cat
2025-11-03T16:45:16.5201712Z     cat_boxes = cls(torch.cat([b.tensor for b in boxes_list], dim=0))
2025-11-03T16:45:16.5201920Z 
2025-11-03T16:45:17.6239201Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:17.6240088Z    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
2025-11-03T16:45:17.6240818Z     return pred[keep[: self.max_detections_per_image]]
2025-11-03T16:45:17.6241731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 141, in __getitem__
2025-11-03T16:45:17.6242138Z     ret.set(k, v[item])
2025-11-03T16:45:17.6242501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__
2025-11-03T16:45:17.6242956Z     b = self.tensor[item]
2025-11-03T16:45:17.6243082Z 
2025-11-03T16:45:19.5586861Z cudagraph partition due to non gpu ops
2025-11-03T16:45:19.5587474Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:19.5588158Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:45:19.5588629Z     output_boxes.clip(results.image_size)
2025-11-03T16:45:19.5589015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:45:19.5589468Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:45:19.5589688Z 
2025-11-03T16:45:19.5589773Z cudagraph partition due to non gpu ops
2025-11-03T16:45:19.5589990Z cudagraph partition due to non gpu ops
2025-11-03T16:45:19.5590230Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:19.5590687Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:45:19.5591098Z     output_boxes.clip(results.image_size)
2025-11-03T16:45:19.5591827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:45:19.5592248Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:45:19.5592402Z 
2025-11-03T16:45:19.5592518Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:19.5592959Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:45:19.5593378Z     results = results[output_boxes.nonempty()]
2025-11-03T16:45:19.5593752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:45:19.5594151Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:45:19.5594370Z 
2025-11-03T16:45:20.9196571Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:20.9201052Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:45:20.9205596Z     results = results[output_boxes.nonempty()]
2025-11-03T16:45:20.9210600Z 
2025-11-03T16:45:20.9216552Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:20.9221078Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:45:20.9226151Z     results = results[output_boxes.nonempty()]
2025-11-03T16:45:20.9229176Z 
2025-11-03T16:45:20.9229418Z cudagraph partition due to non gpu ops
2025-11-03T16:45:20.9229698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:20.9230167Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:45:20.9230602Z     output_boxes.clip(results.image_size)
2025-11-03T16:45:20.9230972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:45:20.9233766Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:45:20.9234016Z 
2025-11-03T16:45:20.9234104Z cudagraph partition due to non gpu ops
2025-11-03T16:45:20.9234328Z cudagraph partition due to non gpu ops
2025-11-03T16:45:20.9234569Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:20.9235241Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:45:20.9235682Z     output_boxes.clip(results.image_size)
2025-11-03T16:45:20.9236066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:45:20.9236477Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:45:20.9236649Z 
2025-11-03T16:45:20.9236770Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:20.9237244Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:45:20.9237691Z     results = results[output_boxes.nonempty()]
2025-11-03T16:45:20.9238243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:45:20.9238653Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:45:20.9238817Z 
2025-11-03T16:45:21.9080322Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:21.9080984Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:45:21.9081450Z     results = results[output_boxes.nonempty()]
2025-11-03T16:45:21.9081615Z 
2025-11-03T16:45:21.9081733Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:21.9082257Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:45:21.9082757Z     results = results[output_boxes.nonempty()]
2025-11-03T16:45:21.9083332Z 
2025-11-03T16:45:21.9083435Z cudagraph partition due to non gpu ops
2025-11-03T16:45:21.9083718Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:21.9084238Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:45:21.9084689Z     output_boxes.clip(results.image_size)
2025-11-03T16:45:21.9085100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:45:21.9085586Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:45:21.9085909Z 
2025-11-03T16:45:21.9086000Z cudagraph partition due to non gpu ops
2025-11-03T16:45:21.9086244Z cudagraph partition due to non gpu ops
2025-11-03T16:45:21.9086516Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:21.9087018Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:45:21.9087467Z     output_boxes.clip(results.image_size)
2025-11-03T16:45:21.9087865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:45:21.9088339Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:45:21.9088517Z 
2025-11-03T16:45:21.9088623Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:45:21.9089075Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:45:21.9089523Z     results = results[output_boxes.nonempty()]
2025-11-03T16:45:21.9089905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:45:21.9090282Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:45:21.9090443Z 
2025-11-03T16:45:23.9854284Z Compilation time (from dynamo_timed): 52.390400739
2025-11-03T16:45:23.9859165Z pass
2025-11-03T16:45:23.9861115Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:45:23.9862312Z TIMING: gc:0.03148 entire_frame_compile:52.3904 _recursive_pre_grad_passes:0.02478 _recursive_joint_graph_passes:0.34916 _recursive_post_grad_passes:0.54203 async_compile.wait:6.78409 code_gen:22.31677 inductor_compile:27.13059 backend_compile:35.9816 total_wall_time:52.3904
2025-11-03T16:45:23.9863523Z STATS: call_* op count: 971 | FakeTensorMode.__torch_dispatch__:20115 | FakeTensor.__torch_dispatch__:12386 | ProxyTorchDispatchMode.__torch_dispatch__:5851 | attempt fast:51 | slow no contiguity match:40 | fast is_contiguous:11
2025-11-03T16:45:23.9864414Z Dynamo produced 29 graphs covering 971 ops with 24 graph breaks (4 unique)
2025-11-03T16:45:27.1846254Z /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.
2025-11-03T16:45:27.1847163Z   import pynvml  # type: ignore[import]
2025-11-03T16:45:29.2775175Z 
2025-11-03T16:45:34.1445180Z loading model: 0it [00:00, ?it/s]W1103 16:45:34.143000 22106 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.
2025-11-03T16:45:42.2118699Z 
2025-11-03T16:45:42.2119136Z loading model: 0it [00:12, ?it/s]
2025-11-03T16:45:42.2138637Z cpu  eval  detectron2_maskrcnn_r_101_c4       
2025-11-03T16:45:53.8873986Z WARNING:common:fp64 golden ref were not generated for detectron2_maskrcnn_r_101_c4. Setting accuracy check to cosine
2025-11-03T16:45:53.8958284Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:46:11.8269855Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:46:29.9084710Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:46:52.8544825Z cudagraph partition due to non gpu ops
2025-11-03T16:46:52.8545425Z cudagraph partition due to non gpu ops
2025-11-03T16:46:52.8546325Z cudagraph partition due to non gpu ops
2025-11-03T16:46:52.8546827Z cudagraph partition due to non gpu ops
2025-11-03T16:46:52.8547187Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:52.8548136Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:46:52.8549066Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:46:52.8549503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:46:52.8549894Z     return torch.as_tensor(x, device=device)
2025-11-03T16:46:52.8550043Z 
2025-11-03T16:46:52.8550152Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:52.8550666Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:46:52.8551103Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:46:52.8551262Z 
2025-11-03T16:46:53.4533503Z cudagraph partition due to non gpu ops
2025-11-03T16:46:53.4534752Z cudagraph partition due to non gpu ops
2025-11-03T16:46:53.4535009Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:53.4535593Z    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
2025-11-03T16:46:53.4536068Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:46:53.4536430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:46:53.4544561Z     return torch.cat(tensors, dim)
2025-11-03T16:46:53.4546638Z 
2025-11-03T16:46:54.0653820Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:54.0654881Z    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
2025-11-03T16:46:54.0656867Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:46:54.0657330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:46:54.0657782Z     return roi_align(
2025-11-03T16:46:54.0662801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:46:54.0664637Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:46:54.0664901Z 
2025-11-03T16:46:54.0670192Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:54.0670848Z    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
2025-11-03T16:46:54.0671437Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:46:54.0671823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:46:54.0672163Z     return roi_align(
2025-11-03T16:46:54.0672487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:46:54.0672850Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:46:54.0673003Z 
2025-11-03T16:46:57.5598140Z cudagraph partition due to non gpu ops
2025-11-03T16:46:57.5598666Z cudagraph partition due to non gpu ops
2025-11-03T16:46:57.5599036Z cudagraph partition due to non gpu ops
2025-11-03T16:46:57.5599438Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5600812Z    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
2025-11-03T16:46:57.5601659Z     return self.res5(x)
2025-11-03T16:46:57.5602278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:57.5602892Z     out = self.conv1(x)
2025-11-03T16:46:57.5603438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:57.5604010Z     x = F.conv2d(
2025-11-03T16:46:57.5604284Z 
2025-11-03T16:46:57.5604463Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5605333Z    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
2025-11-03T16:46:57.5606128Z     return self.res5(x)
2025-11-03T16:46:57.5606741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:57.5607465Z     out = F.relu_(out)
2025-11-03T16:46:57.5607632Z 
2025-11-03T16:46:57.5607814Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5608690Z    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
2025-11-03T16:46:57.5609459Z     return self.res5(x)
2025-11-03T16:46:57.5610079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:57.5610717Z     out = self.conv2(out)
2025-11-03T16:46:57.5611270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:57.5611850Z     x = F.conv2d(
2025-11-03T16:46:57.5611991Z 
2025-11-03T16:46:57.5612154Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5613017Z    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
2025-11-03T16:46:57.5613808Z     return self.res5(x)
2025-11-03T16:46:57.5614485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:57.5615121Z     out = F.relu_(out)
2025-11-03T16:46:57.5615282Z 
2025-11-03T16:46:57.5615452Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5616319Z    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
2025-11-03T16:46:57.5617123Z     return self.res5(x)
2025-11-03T16:46:57.5617731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:57.5618356Z     out = self.conv3(out)
2025-11-03T16:46:57.5618927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:57.5619505Z     x = F.conv2d(
2025-11-03T16:46:57.5619655Z 
2025-11-03T16:46:57.5619836Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5620691Z    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
2025-11-03T16:46:57.5621470Z     return self.res5(x)
2025-11-03T16:46:57.5622050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:46:57.5622674Z     shortcut = self.shortcut(x)
2025-11-03T16:46:57.5623245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:57.5623803Z     x = F.conv2d(
2025-11-03T16:46:57.5624016Z 
2025-11-03T16:46:57.5624185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5625045Z    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
2025-11-03T16:46:57.5625840Z     return self.res5(x)
2025-11-03T16:46:57.5626446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:57.5627075Z     out = self.conv1(x)
2025-11-03T16:46:57.5627644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:57.5628255Z     x = F.conv2d(
2025-11-03T16:46:57.5628395Z 
2025-11-03T16:46:57.5628576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5629421Z    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
2025-11-03T16:46:57.5630193Z     return self.res5(x)
2025-11-03T16:46:57.5630775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:57.5631438Z     out = F.relu_(out)
2025-11-03T16:46:57.5631596Z 
2025-11-03T16:46:57.5631778Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5632611Z    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
2025-11-03T16:46:57.5633371Z     return self.res5(x)
2025-11-03T16:46:57.5633959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:57.5634589Z     out = self.conv2(out)
2025-11-03T16:46:57.5635145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:57.5635724Z     x = F.conv2d(
2025-11-03T16:46:57.5635874Z 
2025-11-03T16:46:57.5636046Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5636906Z    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
2025-11-03T16:46:57.5637754Z     return self.res5(x)
2025-11-03T16:46:57.5638497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:57.5639161Z     out = F.relu_(out)
2025-11-03T16:46:57.5639345Z 
2025-11-03T16:46:57.5639526Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5640390Z    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
2025-11-03T16:46:57.5641184Z     return self.res5(x)
2025-11-03T16:46:57.5641763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:57.5642376Z     out = self.conv3(out)
2025-11-03T16:46:57.5642929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:57.5643500Z     x = F.conv2d(
2025-11-03T16:46:57.5643644Z 
2025-11-03T16:46:57.5643825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5644657Z    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
2025-11-03T16:46:57.5645429Z     return self.res5(x)
2025-11-03T16:46:57.5646005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:57.5646601Z     out = F.relu_(out)
2025-11-03T16:46:57.5646759Z 
2025-11-03T16:46:57.5646993Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5647824Z    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
2025-11-03T16:46:57.5648580Z     return self.res5(x)
2025-11-03T16:46:57.5649155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:46:57.5649768Z     out = self.conv1(x)
2025-11-03T16:46:57.5650302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:57.5650844Z     x = F.conv2d(
2025-11-03T16:46:57.5651034Z 
2025-11-03T16:46:57.5651194Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5652036Z    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
2025-11-03T16:46:57.5652816Z     return self.res5(x)
2025-11-03T16:46:57.5653404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:46:57.5654050Z     out = F.relu_(out)
2025-11-03T16:46:57.5654213Z 
2025-11-03T16:46:57.5654379Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5655216Z    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
2025-11-03T16:46:57.5655982Z     return self.res5(x)
2025-11-03T16:46:57.5656557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:46:57.5657139Z     out = self.conv2(out)
2025-11-03T16:46:57.5657696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:57.5658266Z     x = F.conv2d(
2025-11-03T16:46:57.5658410Z 
2025-11-03T16:46:57.5658586Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5659432Z    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
2025-11-03T16:46:57.5660214Z     return self.res5(x)
2025-11-03T16:46:57.5660861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:46:57.5661491Z     out = F.relu_(out)
2025-11-03T16:46:57.5661648Z 
2025-11-03T16:46:57.5661825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5662643Z    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
2025-11-03T16:46:57.5663410Z     return self.res5(x)
2025-11-03T16:46:57.5663993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:46:57.5664618Z     out = self.conv3(out)
2025-11-03T16:46:57.5665170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:46:57.5665721Z     x = F.conv2d(
2025-11-03T16:46:57.5665877Z 
2025-11-03T16:46:57.5666041Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:46:57.5667180Z    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
2025-11-03T16:46:57.5667979Z     return self.res5(x)
2025-11-03T16:46:57.5668579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:46:57.5669196Z     out = F.relu_(out)
2025-11-03T16:46:57.5669361Z 
2025-11-03T16:47:02.1808663Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:02.1810191Z    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
2025-11-03T16:47:02.1810701Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:47:02.1811132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:47:02.1811513Z     scores = self.cls_score(x)
2025-11-03T16:47:02.1811633Z 
2025-11-03T16:47:02.1811737Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:02.1812190Z    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
2025-11-03T16:47:02.1812728Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:47:02.1813128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:47:02.1813505Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:47:02.1813643Z 
2025-11-03T16:47:03.9702843Z cudagraph partition due to non gpu ops
2025-11-03T16:47:03.9703379Z cudagraph partition due to non gpu ops
2025-11-03T16:47:03.9704640Z cudagraph partition due to non gpu ops
2025-11-03T16:47:03.9705110Z cudagraph partition due to non gpu ops
2025-11-03T16:47:03.9705542Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:03.9706017Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:47:03.9706522Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:47:03.9706954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:47:03.9707433Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:47:03.9707886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:47:03.9708241Z     return torch.cat(tensors, dim)
2025-11-03T16:47:03.9708371Z 
2025-11-03T16:47:03.9708484Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:03.9708906Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:47:03.9709549Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:47:03.9709981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:47:03.9710430Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:47:03.9710854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:47:03.9711263Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:47:03.9711417Z 
2025-11-03T16:47:06.2005457Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:06.2011561Z    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
2025-11-03T16:47:06.2012620Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:47:06.2012813Z 
2025-11-03T16:47:06.2012931Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:06.2013524Z    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
2025-11-03T16:47:06.2014075Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:47:06.2014265Z 
2025-11-03T16:47:06.2014367Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:06.2015186Z    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
2025-11-03T16:47:06.2015726Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:47:06.2015914Z 
2025-11-03T16:47:10.1334274Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.1337665Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.1338049Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.1338306Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.1338558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.1339045Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:47:10.1339847Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:47:10.1340257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:47:10.1340661Z     return torch.as_tensor(x, device=device)
2025-11-03T16:47:10.1340810Z 
2025-11-03T16:47:10.1340918Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.1341426Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:47:10.1341869Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:47:10.1342034Z 
2025-11-03T16:47:10.8715998Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.8718116Z cudagraph partition due to non gpu ops
2025-11-03T16:47:10.8718952Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:10.8719742Z    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
2025-11-03T16:47:10.8722128Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:47:10.8722600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:47:10.8722985Z     return torch.cat(tensors, dim)
2025-11-03T16:47:10.8723123Z 
2025-11-03T16:47:11.4591384Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:11.4596072Z    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
2025-11-03T16:47:11.4597020Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:47:11.4597463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:47:11.4598032Z     return roi_align(
2025-11-03T16:47:11.4598417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:47:11.4598834Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:47:11.4599000Z 
2025-11-03T16:47:11.4599108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:11.4599572Z    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
2025-11-03T16:47:11.4600027Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:47:11.4600381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:47:11.4600711Z     return roi_align(
2025-11-03T16:47:11.4601022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:47:11.4601390Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:47:11.4601556Z 
2025-11-03T16:47:13.2396188Z cudagraph partition due to non gpu ops
2025-11-03T16:47:13.2396539Z cudagraph partition due to non gpu ops
2025-11-03T16:47:13.2396747Z cudagraph partition due to non gpu ops
2025-11-03T16:47:13.2396989Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2398103Z    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
2025-11-03T16:47:13.2398683Z     return self.res5(x)
2025-11-03T16:47:13.2399104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:47:13.2399503Z     out = self.conv1(x)
2025-11-03T16:47:13.2399840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:13.2400185Z     x = F.conv2d(
2025-11-03T16:47:13.2400284Z 
2025-11-03T16:47:13.2400400Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2400965Z    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
2025-11-03T16:47:13.2401409Z     return self.res5(x)
2025-11-03T16:47:13.2401750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:47:13.2402110Z     out = F.relu_(out)
2025-11-03T16:47:13.2402276Z 
2025-11-03T16:47:13.2402386Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2402883Z    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
2025-11-03T16:47:13.2403329Z     return self.res5(x)
2025-11-03T16:47:13.2403663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:47:13.2404027Z     out = self.conv2(out)
2025-11-03T16:47:13.2404349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:13.2404671Z     x = F.conv2d(
2025-11-03T16:47:13.2404770Z 
2025-11-03T16:47:13.2404872Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2405401Z    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
2025-11-03T16:47:13.2405841Z     return self.res5(x)
2025-11-03T16:47:13.2406929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:47:13.2407298Z     out = F.relu_(out)
2025-11-03T16:47:13.2407405Z 
2025-11-03T16:47:13.2407505Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2407978Z    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
2025-11-03T16:47:13.2408418Z     return self.res5(x)
2025-11-03T16:47:13.2408744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:47:13.2409100Z     out = self.conv3(out)
2025-11-03T16:47:13.2409421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:13.2409750Z     x = F.conv2d(
2025-11-03T16:47:13.2409839Z 
2025-11-03T16:47:13.2409943Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2410406Z    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
2025-11-03T16:47:13.2410843Z     return self.res5(x)
2025-11-03T16:47:13.2411173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:47:13.2411534Z     shortcut = self.shortcut(x)
2025-11-03T16:47:13.2411865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:13.2412184Z     x = F.conv2d(
2025-11-03T16:47:13.2412277Z 
2025-11-03T16:47:13.2412404Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2412881Z    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
2025-11-03T16:47:13.2413320Z     return self.res5(x)
2025-11-03T16:47:13.2413646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:47:13.2414060Z     out = self.conv1(x)
2025-11-03T16:47:13.2414362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:13.2414707Z     x = F.conv2d(
2025-11-03T16:47:13.2414792Z 
2025-11-03T16:47:13.2414896Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2415350Z    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
2025-11-03T16:47:13.2415780Z     return self.res5(x)
2025-11-03T16:47:13.2416104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:47:13.2416469Z     out = F.relu_(out)
2025-11-03T16:47:13.2416565Z 
2025-11-03T16:47:13.2416666Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2417118Z    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
2025-11-03T16:47:13.2417543Z     return self.res5(x)
2025-11-03T16:47:13.2417865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:47:13.2418214Z     out = self.conv2(out)
2025-11-03T16:47:13.2418521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:13.2418833Z     x = F.conv2d(
2025-11-03T16:47:13.2418927Z 
2025-11-03T16:47:13.2419024Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2419485Z    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
2025-11-03T16:47:13.2419908Z     return self.res5(x)
2025-11-03T16:47:13.2420240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:47:13.2420582Z     out = F.relu_(out)
2025-11-03T16:47:13.2420683Z 
2025-11-03T16:47:13.2420778Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2421242Z    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
2025-11-03T16:47:13.2421666Z     return self.res5(x)
2025-11-03T16:47:13.2421981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:47:13.2422329Z     out = self.conv3(out)
2025-11-03T16:47:13.2422635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:13.2422950Z     x = F.conv2d(
2025-11-03T16:47:13.2423034Z 
2025-11-03T16:47:13.2423135Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2423589Z    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
2025-11-03T16:47:13.2424011Z     return self.res5(x)
2025-11-03T16:47:13.2424338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:47:13.2424682Z     out = F.relu_(out)
2025-11-03T16:47:13.2424775Z 
2025-11-03T16:47:13.2424877Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2425352Z    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
2025-11-03T16:47:13.2425776Z     return self.res5(x)
2025-11-03T16:47:13.2426092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:47:13.2426430Z     out = self.conv1(x)
2025-11-03T16:47:13.2426720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:13.2427036Z     x = F.conv2d(
2025-11-03T16:47:13.2427128Z 
2025-11-03T16:47:13.2427244Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2427703Z    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
2025-11-03T16:47:13.2428134Z     return self.res5(x)
2025-11-03T16:47:13.2428451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:47:13.2428792Z     out = F.relu_(out)
2025-11-03T16:47:13.2428907Z 
2025-11-03T16:47:13.2429002Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2429460Z    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
2025-11-03T16:47:13.2429886Z     return self.res5(x)
2025-11-03T16:47:13.2430197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:47:13.2430545Z     out = self.conv2(out)
2025-11-03T16:47:13.2430857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:13.2431182Z     x = F.conv2d(
2025-11-03T16:47:13.2431269Z 
2025-11-03T16:47:13.2431365Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2431836Z    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
2025-11-03T16:47:13.2432268Z     return self.res5(x)
2025-11-03T16:47:13.2432610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:47:13.2432963Z     out = F.relu_(out)
2025-11-03T16:47:13.2433058Z 
2025-11-03T16:47:13.2433157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2433627Z    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
2025-11-03T16:47:13.2434059Z     return self.res5(x)
2025-11-03T16:47:13.2434393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:47:13.2434748Z     out = self.conv3(out)
2025-11-03T16:47:13.2435061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:13.2435394Z     x = F.conv2d(
2025-11-03T16:47:13.2435487Z 
2025-11-03T16:47:13.2435585Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:13.2436058Z    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
2025-11-03T16:47:13.2436492Z     return self.res5(x)
2025-11-03T16:47:13.2436818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:47:13.2437174Z     out = F.relu_(out)
2025-11-03T16:47:13.2437276Z 
2025-11-03T16:47:15.3498046Z cudagraph partition due to non gpu ops
2025-11-03T16:47:15.3500123Z cudagraph partition due to non gpu ops
2025-11-03T16:47:15.3500544Z cudagraph partition due to non gpu ops
2025-11-03T16:47:15.3504240Z cudagraph partition due to non gpu ops
2025-11-03T16:47:15.3504565Z cudagraph partition due to non gpu ops
2025-11-03T16:47:15.3504775Z cudagraph partition due to non gpu ops
2025-11-03T16:47:15.3505028Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:15.3505593Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523
2025-11-03T16:47:15.3506063Z     return self.mask_head(x, instances)
2025-11-03T16:47:15.3506459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:47:15.3506918Z     x = self.layers(x)
2025-11-03T16:47:15.3507273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:47:15.3507720Z     x = layer(x)
2025-11-03T16:47:15.3507826Z 
2025-11-03T16:47:15.3507940Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:15.3508440Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523
2025-11-03T16:47:15.3509014Z     return self.mask_head(x, instances)
2025-11-03T16:47:15.3509396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:47:15.3509752Z     x = self.layers(x)
2025-11-03T16:47:15.3510093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:47:15.3510446Z     x = layer(x)
2025-11-03T16:47:15.3510537Z 
2025-11-03T16:47:15.3510646Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:15.3511133Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523
2025-11-03T16:47:15.3511590Z     return self.mask_head(x, instances)
2025-11-03T16:47:15.3511955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:47:15.3512314Z     x = self.layers(x)
2025-11-03T16:47:15.3512699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:47:15.3513046Z     x = layer(x)
2025-11-03T16:47:15.3513364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:47:15.3513704Z     x = F.conv2d(
2025-11-03T16:47:15.3513797Z 
2025-11-03T16:47:15.3513908Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:15.3514396Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523
2025-11-03T16:47:15.3514867Z     return self.mask_head(x, instances)
2025-11-03T16:47:15.3515282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward
2025-11-03T16:47:15.3515704Z     mask_rcnn_inference(x, instances)
2025-11-03T16:47:15.3516117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 144, in mask_rcnn_inference
2025-11-03T16:47:15.3516599Z     class_pred = cat([i.pred_classes for i in pred_instances])
2025-11-03T16:47:15.3516994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:47:15.3517376Z     return torch.cat(tensors, dim)
2025-11-03T16:47:15.3517514Z 
2025-11-03T16:47:15.3517625Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:15.3518362Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523
2025-11-03T16:47:15.3518900Z     return self.mask_head(x, instances)
2025-11-03T16:47:15.3519329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward
2025-11-03T16:47:15.3519748Z     mask_rcnn_inference(x, instances)
2025-11-03T16:47:15.3520168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 151, in mask_rcnn_inference
2025-11-03T16:47:15.3520676Z     mask_probs_pred = pred_mask_logits[indices, class_pred][:, None].sigmoid()
2025-11-03T16:47:15.3520884Z 
2025-11-03T16:47:17.2094545Z cudagraph partition due to non gpu ops
2025-11-03T16:47:17.2101218Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:17.2105924Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:47:17.2107423Z     output_boxes.clip(results.image_size)
2025-11-03T16:47:17.2107816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:47:17.2108261Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:47:17.2108657Z 
2025-11-03T16:47:17.2108743Z cudagraph partition due to non gpu ops
2025-11-03T16:47:17.2108966Z cudagraph partition due to non gpu ops
2025-11-03T16:47:17.2109202Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:17.2109631Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:47:17.2110047Z     output_boxes.clip(results.image_size)
2025-11-03T16:47:17.2110396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:47:17.2110768Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:47:17.2110916Z 
2025-11-03T16:47:17.2111030Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:17.2111447Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:47:17.2111864Z     results = results[output_boxes.nonempty()]
2025-11-03T16:47:17.2112280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:47:17.2112655Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:47:17.2112839Z 
2025-11-03T16:47:19.2582169Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:19.2584527Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 39, in _do_paste_mask
2025-11-03T16:47:19.2585128Z     x0_int, y0_int = torch.clamp(boxes.min(dim=0).values.floor()[:2] - 1, min=0).to(
2025-11-03T16:47:19.2585374Z 
2025-11-03T16:47:19.2585494Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:19.2585940Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 43, in _do_paste_mask
2025-11-03T16:47:19.2586434Z     y1_int = torch.clamp(boxes[:, 3].max().ceil() + 1, max=img_h).to(dtype=torch.int32)
2025-11-03T16:47:19.2586668Z 
2025-11-03T16:47:19.2586780Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:19.2587218Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 42, in _do_paste_mask
2025-11-03T16:47:19.2587673Z     x1_int = torch.clamp(boxes[:, 2].max().ceil() + 1, max=img_w).to(dtype=torch.int32)
2025-11-03T16:47:19.2587889Z 
2025-11-03T16:47:19.7834167Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:19.7835728Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 51, in torch_dynamo_resume_in__do_paste_mask_at_51
2025-11-03T16:47:19.7836231Z     img_y = torch.arange(y0_int, y1_int, device=device, dtype=torch.float32) + 0.5
2025-11-03T16:47:19.7836757Z 
2025-11-03T16:47:20.3533063Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T16:47:20.3537978Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T16:47:20.3539188Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] or:
2025-11-03T16:47:20.3539725Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T16:47:20.3540742Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] to include these operations in the captured graph.
2025-11-03T16:47:20.3541284Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] 
2025-11-03T16:47:20.3541806Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] Graph break: from user code at:
2025-11-03T16:47:20.3542658Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 67, in torch_dynamo_resume_in__do_paste_mask_at_52
2025-11-03T16:47:20.3543694Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0]     return img_masks[:, 0], (slice(y0_int, y1_int), slice(x0_int, x1_int))
2025-11-03T16:47:20.3544241Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] 
2025-11-03T16:47:20.3544645Z W1103 16:47:20.351000 22106 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] 
2025-11-03T16:47:20.7957564Z cudagraph partition due to non gpu ops
2025-11-03T16:47:20.7957859Z cudagraph partition due to non gpu ops
2025-11-03T16:47:20.7958185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:20.7958717Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52
2025-11-03T16:47:20.7959168Z     grid = torch.stack([gx, gy], dim=3)
2025-11-03T16:47:20.7959308Z 
2025-11-03T16:47:21.6848418Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:21.6853684Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 51, in torch_dynamo_resume_in__do_paste_mask_at_51
2025-11-03T16:47:21.6854619Z     img_y = torch.arange(y0_int, y1_int, device=device, dtype=torch.float32) + 0.5
2025-11-03T16:47:21.6854826Z 
2025-11-03T16:47:26.9047331Z cudagraph partition due to non gpu ops
2025-11-03T16:47:26.9047648Z cudagraph partition due to non gpu ops
2025-11-03T16:47:26.9047890Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:26.9048400Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52
2025-11-03T16:47:26.9048823Z     grid = torch.stack([gx, gy], dim=3)
2025-11-03T16:47:26.9048956Z 
2025-11-03T16:47:30.4212701Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:30.4217156Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 39, in _do_paste_mask
2025-11-03T16:47:30.4222470Z     x0_int, y0_int = torch.clamp(boxes.min(dim=0).values.floor()[:2] - 1, min=0).to(
2025-11-03T16:47:30.4227404Z 
2025-11-03T16:47:30.4232127Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:30.4235472Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 43, in _do_paste_mask
2025-11-03T16:47:30.4235994Z     y1_int = torch.clamp(boxes[:, 3].max().ceil() + 1, max=img_h).to(dtype=torch.int32)
2025-11-03T16:47:30.4236199Z 
2025-11-03T16:47:30.4236324Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:47:30.4237133Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 42, in _do_paste_mask
2025-11-03T16:47:30.4237585Z     x1_int = torch.clamp(boxes[:, 2].max().ceil() + 1, max=img_w).to(dtype=torch.int32)
2025-11-03T16:47:30.4237798Z 
2025-11-03T16:47:39.9790673Z E1103 16:47:39.977000 22106 site-packages/torch/_dynamo/utils.py:3087] Accuracy failed: uint8 tensor did not match
2025-11-03T16:47:39.9793583Z E1103 16:47:39.977000 22106 site-packages/torch/_dynamo/utils.py:3050] Accuracy failed for key name pred_masks
2025-11-03T16:47:39.9794110Z E1103 16:47:39.977000 22106 site-packages/torch/_dynamo/utils.py:3050] Accuracy failed for key name instances
2025-11-03T16:47:39.9995796Z Compilation time (from dynamo_timed): 55.507727193
2025-11-03T16:47:39.9996481Z fail_accuracy
2025-11-03T16:47:39.9996797Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:47:39.9998604Z TIMING: gc:0.05166 entire_frame_compile:55.50773 _recursive_pre_grad_passes:0.03656 async_compile.wait:8.58487 backend_compile:30.672 _recursive_joint_graph_passes:0.2487 inductor_compile:14.74542 _recursive_post_grad_passes:0.1232 code_gen:11.41231 total_wall_time:55.50773
2025-11-03T16:47:40.0000179Z STATS: call_* op count: 934 | FakeTensorMode.__torch_dispatch__:14441 | FakeTensor.__torch_dispatch__:5001 | ProxyTorchDispatchMode.__torch_dispatch__:2277 | attempt fast:150 | slow no contiguity match:40 | fast is_contiguous:105 | slow both tensors nontrivially broadcast:5
2025-11-03T16:47:40.0000892Z Dynamo produced 67 graphs covering 934 ops with 56 graph breaks (8 unique)
2025-11-03T16:47:44.0987679Z /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.
2025-11-03T16:47:44.0988615Z   import pynvml  # type: ignore[import]
2025-11-03T16:47:46.1690012Z 
2025-11-03T16:47:51.8503191Z loading model: 0it [00:00, ?it/s]W1103 16:47:51.848000 23631 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.
2025-11-03T16:47:53.1759240Z 
2025-11-03T16:47:53.1760532Z loading model: 0it [00:07, ?it/s]
2025-11-03T16:47:53.1775411Z cpu  eval  detectron2_maskrcnn_r_101_fpn      
2025-11-03T16:48:09.1510015Z WARNING:common:fp64 golden ref were not generated for detectron2_maskrcnn_r_101_fpn. Setting accuracy check to cosine
2025-11-03T16:48:09.1687413Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:48:15.5478839Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:48:21.8412335Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:48:48.2327168Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:48.2327972Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:48:48.2328580Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:48:48.2328873Z 
2025-11-03T16:48:51.8089348Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:51.8092321Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:48:51.8092741Z     return roi_align(
2025-11-03T16:48:51.8097602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:48:51.8099171Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:48:51.8099450Z 
2025-11-03T16:48:51.8102669Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:51.8103621Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:48:51.8109169Z     return roi_align(
2025-11-03T16:48:51.8113159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:48:51.8113578Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:48:51.8113751Z 
2025-11-03T16:48:57.3032662Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:57.3033359Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:48:57.3034288Z     max_coordinate = boxes.max()
2025-11-03T16:48:57.3034431Z 
2025-11-03T16:48:57.3034555Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:57.3035039Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:48:57.3035543Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:48:57.3035708Z 
2025-11-03T16:48:58.0812991Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:58.0815488Z    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
2025-11-03T16:48:58.0820445Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:48:58.0824556Z 
2025-11-03T16:48:58.0826994Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:58.0827666Z    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
2025-11-03T16:48:58.0830705Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:48:58.0830953Z 
2025-11-03T16:48:58.0834551Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:48:58.0835195Z    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
2025-11-03T16:48:58.0835766Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:48:58.0835969Z 
2025-11-03T16:49:02.5967715Z cudagraph partition due to non gpu ops
2025-11-03T16:49:02.5968160Z cudagraph partition due to non gpu ops
2025-11-03T16:49:02.5968378Z cudagraph partition due to non gpu ops
2025-11-03T16:49:02.5968584Z cudagraph partition due to non gpu ops
2025-11-03T16:49:02.5968815Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:02.5969517Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:49:02.5974455Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:49:02.5976739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:49:02.5977263Z     return torch.as_tensor(x, device=device)
2025-11-03T16:49:02.5981758Z 
2025-11-03T16:49:02.5986492Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:02.5991671Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:49:02.5992823Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:49:02.5992991Z 
2025-11-03T16:49:03.3997822Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:03.3998659Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 111, in _create_zeros
2025-11-03T16:49:03.4001085Z     return torch.zeros(sizes, dtype=like_tensor.dtype, device=like_tensor.device)
2025-11-03T16:49:03.4001373Z 
2025-11-03T16:49:04.1819360Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:04.1820171Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:49:04.1820544Z     return roi_align(
2025-11-03T16:49:04.1820868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:49:04.1825910Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:49:04.1826163Z 
2025-11-03T16:49:04.1829386Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:04.1829871Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:49:04.1830527Z     return roi_align(
2025-11-03T16:49:04.1830862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:49:04.1831951Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:49:04.1832374Z 
2025-11-03T16:49:04.4145240Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:04.4145786Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:49:04.4148026Z     return roi_align(
2025-11-03T16:49:04.4148509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:49:04.4149026Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:49:04.4152079Z 
2025-11-03T16:49:04.4152330Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:04.4152721Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:49:04.4153073Z     return roi_align(
2025-11-03T16:49:04.4153570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:49:04.6188349Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:49:04.6188575Z 
2025-11-03T16:49:04.6188732Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:04.6190078Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:49:04.6190557Z     return roi_align(
2025-11-03T16:49:04.6190895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:49:04.6191764Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:49:04.6192016Z 
2025-11-03T16:49:04.6192235Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:04.6192605Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:49:04.6192944Z     return roi_align(
2025-11-03T16:49:04.6193265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:49:04.6193620Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:49:04.6193754Z 
2025-11-03T16:49:04.8148792Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:04.8151969Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:49:04.8152622Z     return roi_align(
2025-11-03T16:49:04.8153772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:49:04.8154222Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:49:04.8154379Z 
2025-11-03T16:49:04.8154507Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:04.8154903Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:49:04.8155265Z     return roi_align(
2025-11-03T16:49:04.8155593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:49:04.8155964Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:49:04.8156428Z 
2025-11-03T16:49:08.1284596Z cudagraph partition due to non gpu ops
2025-11-03T16:49:08.1287376Z cudagraph partition due to non gpu ops
2025-11-03T16:49:08.1287741Z cudagraph partition due to non gpu ops
2025-11-03T16:49:08.1287953Z cudagraph partition due to non gpu ops
2025-11-03T16:49:08.1288153Z cudagraph partition due to non gpu ops
2025-11-03T16:49:08.1288363Z cudagraph partition due to non gpu ops
2025-11-03T16:49:08.1288552Z cudagraph partition due to non gpu ops
2025-11-03T16:49:08.1288749Z cudagraph partition due to non gpu ops
2025-11-03T16:49:08.1288945Z cudagraph partition due to non gpu ops
2025-11-03T16:49:08.1289144Z cudagraph partition due to non gpu ops
2025-11-03T16:49:08.1289782Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1290313Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1290796Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1291199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1291666Z     x = self.layers(x)
2025-11-03T16:49:08.1292009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1292380Z     x = layer(x)
2025-11-03T16:49:08.1292698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:49:08.1293036Z     x = F.conv2d(
2025-11-03T16:49:08.1293129Z 
2025-11-03T16:49:08.1293239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1293755Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1294209Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1294592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1294963Z     x = self.layers(x)
2025-11-03T16:49:08.1295290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1295646Z     x = layer(x)
2025-11-03T16:49:08.1295996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:49:08.1296341Z     x = self.activation(x)
2025-11-03T16:49:08.1296453Z 
2025-11-03T16:49:08.1296562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1297021Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1297479Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1297861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1298224Z     x = self.layers(x)
2025-11-03T16:49:08.1298555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1298908Z     x = layer(x)
2025-11-03T16:49:08.1299213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:49:08.1299544Z     x = F.conv2d(
2025-11-03T16:49:08.1299632Z 
2025-11-03T16:49:08.1299740Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1300204Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1300655Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1301737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1302095Z     x = self.layers(x)
2025-11-03T16:49:08.1302419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1302756Z     x = layer(x)
2025-11-03T16:49:08.1303051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:49:08.1303381Z     x = self.activation(x)
2025-11-03T16:49:08.1303484Z 
2025-11-03T16:49:08.1303589Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1304033Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1304493Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1304858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1305204Z     x = self.layers(x)
2025-11-03T16:49:08.1305524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1305882Z     x = layer(x)
2025-11-03T16:49:08.1306179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:49:08.1306498Z     x = F.conv2d(
2025-11-03T16:49:08.1306585Z 
2025-11-03T16:49:08.1306688Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1307134Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1307563Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1307925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1308272Z     x = self.layers(x)
2025-11-03T16:49:08.1308591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1308934Z     x = layer(x)
2025-11-03T16:49:08.1309217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:49:08.1309566Z     x = self.activation(x)
2025-11-03T16:49:08.1309674Z 
2025-11-03T16:49:08.1309779Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1310229Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1310662Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1311030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1311376Z     x = self.layers(x)
2025-11-03T16:49:08.1311706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1312050Z     x = layer(x)
2025-11-03T16:49:08.1312332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:49:08.1312650Z     x = F.conv2d(
2025-11-03T16:49:08.1312744Z 
2025-11-03T16:49:08.1312840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1313287Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1313718Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1314077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1314436Z     x = self.layers(x)
2025-11-03T16:49:08.1314805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1315155Z     x = layer(x)
2025-11-03T16:49:08.1315456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward
2025-11-03T16:49:08.1315792Z     x = self.activation(x)
2025-11-03T16:49:08.1315906Z 
2025-11-03T16:49:08.1316006Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1316467Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1316924Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1317291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1317645Z     x = self.layers(x)
2025-11-03T16:49:08.1318145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1318525Z     x = layer(x)
2025-11-03T16:49:08.1318617Z 
2025-11-03T16:49:08.1318756Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1319225Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1319677Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1320057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1320425Z     x = self.layers(x)
2025-11-03T16:49:08.1320749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1321127Z     x = layer(x)
2025-11-03T16:49:08.1321220Z 
2025-11-03T16:49:08.1321320Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1321788Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1322238Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1322627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:49:08.1322991Z     x = self.layers(x)
2025-11-03T16:49:08.1323325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:49:08.1323684Z     x = layer(x)
2025-11-03T16:49:08.1323995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:49:08.1324323Z     x = F.conv2d(
2025-11-03T16:49:08.1324421Z 
2025-11-03T16:49:08.1324521Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1324989Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1325448Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1325827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward
2025-11-03T16:49:08.1326202Z     mask_rcnn_inference(x, instances)
2025-11-03T16:49:08.1326611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 144, in mask_rcnn_inference
2025-11-03T16:49:08.1327067Z     class_pred = cat([i.pred_classes for i in pred_instances])
2025-11-03T16:49:08.1327451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:49:08.1327785Z     return torch.cat(tensors, dim)
2025-11-03T16:49:08.1327923Z 
2025-11-03T16:49:08.1328025Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:08.1328511Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 846, in torch_dynamo_resume_in__forward_mask_at_843
2025-11-03T16:49:08.1328967Z     return self.mask_head(features, instances)
2025-11-03T16:49:08.1329353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward
2025-11-03T16:49:08.1329733Z     mask_rcnn_inference(x, instances)
2025-11-03T16:49:08.1330138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 151, in mask_rcnn_inference
2025-11-03T16:49:08.1330618Z     mask_probs_pred = pred_mask_logits[indices, class_pred][:, None].sigmoid()
2025-11-03T16:49:08.1330815Z 
2025-11-03T16:49:10.7595625Z cudagraph partition due to non gpu ops
2025-11-03T16:49:10.7595967Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:10.7596483Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:49:10.7596913Z     output_boxes.clip(results.image_size)
2025-11-03T16:49:10.7597624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:49:10.7598209Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:49:10.7598457Z 
2025-11-03T16:49:10.7598550Z cudagraph partition due to non gpu ops
2025-11-03T16:49:10.7598797Z cudagraph partition due to non gpu ops
2025-11-03T16:49:10.7599063Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:10.7599599Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:49:10.7600023Z     output_boxes.clip(results.image_size)
2025-11-03T16:49:10.7600382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:49:10.7600746Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:49:10.7600895Z 
2025-11-03T16:49:10.7600997Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:10.7601414Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:49:10.7601887Z     results = results[output_boxes.nonempty()]
2025-11-03T16:49:10.7602246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:49:10.7602615Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:49:10.7602761Z 
2025-11-03T16:49:12.2313534Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:12.2314075Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 51, in torch_dynamo_resume_in__do_paste_mask_at_51
2025-11-03T16:49:12.2314602Z     img_y = torch.arange(y0_int, y1_int, device=device, dtype=torch.float32) + 0.5
2025-11-03T16:49:12.2314802Z 
2025-11-03T16:49:12.7894858Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T16:49:12.7895529Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T16:49:12.7896009Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] or:
2025-11-03T16:49:12.7896472Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T16:49:12.7897024Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] to include these operations in the captured graph.
2025-11-03T16:49:12.7897486Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] 
2025-11-03T16:49:12.7898237Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] Graph break: from user code at:
2025-11-03T16:49:12.7898984Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 67, in torch_dynamo_resume_in__do_paste_mask_at_52
2025-11-03T16:49:12.7899767Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0]     return img_masks[:, 0], (slice(y0_int, y1_int), slice(x0_int, x1_int))
2025-11-03T16:49:12.7900237Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] 
2025-11-03T16:49:12.7900652Z W1103 16:49:12.787000 23631 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] 
2025-11-03T16:49:13.2300483Z cudagraph partition due to non gpu ops
2025-11-03T16:49:13.2306373Z cudagraph partition due to non gpu ops
2025-11-03T16:49:13.2310485Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:13.2313179Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52
2025-11-03T16:49:13.2314059Z     grid = torch.stack([gx, gy], dim=3)
2025-11-03T16:49:13.2314199Z 
2025-11-03T16:49:19.0876018Z cudagraph partition due to non gpu ops
2025-11-03T16:49:19.0876589Z cudagraph partition due to non gpu ops
2025-11-03T16:49:19.0876976Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:49:19.0878515Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52
2025-11-03T16:49:19.0879082Z     grid = torch.stack([gx, gy], dim=3)
2025-11-03T16:49:19.0879239Z 
2025-11-03T16:49:25.1883215Z Compilation time (from dynamo_timed): 57.257394528
2025-11-03T16:49:25.1883520Z pass
2025-11-03T16:49:25.1883821Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:49:25.1884573Z TIMING: gc:0.06333 entire_frame_compile:57.25739 _recursive_pre_grad_passes:0.04331 async_compile.wait:5.06746 backend_compile:24.16168 _recursive_joint_graph_passes:0.20793 inductor_compile:9.00863 _recursive_post_grad_passes:0.07929 code_gen:7.09675 total_wall_time:57.25739
2025-11-03T16:49:25.1885875Z STATS: call_* op count: 1300 | FakeTensorMode.__torch_dispatch__:14872 | FakeTensor.__torch_dispatch__:2528 | ProxyTorchDispatchMode.__torch_dispatch__:748 | attempt fast:173 | slow no contiguity match:44 | fast is_contiguous:124 | slow both tensors nontrivially broadcast:5
2025-11-03T16:49:25.1886583Z Dynamo produced 78 graphs covering 1300 ops with 62 graph breaks (8 unique)
2025-11-03T16:49:29.9800645Z /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.
2025-11-03T16:49:29.9801534Z   import pynvml  # type: ignore[import]
2025-11-03T16:49:31.9913560Z 
2025-11-03T16:49:35.4914638Z loading model: 0it [00:00, ?it/s]W1103 16:49:35.489000 24595 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.
2025-11-03T16:49:43.6647595Z 
2025-11-03T16:49:43.6653019Z loading model: 0it [00:11, ?it/s]
2025-11-03T16:49:43.6659757Z cpu  eval  detectron2_maskrcnn_r_50_c4        
2025-11-03T16:49:51.1220145Z WARNING:common:fp64 golden ref were not generated for detectron2_maskrcnn_r_50_c4. Setting accuracy check to cosine
2025-11-03T16:49:51.1292591Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:09.5475879Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:27.6223381Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:50:44.5868140Z cudagraph partition due to non gpu ops
2025-11-03T16:50:44.5868506Z cudagraph partition due to non gpu ops
2025-11-03T16:50:44.5868759Z cudagraph partition due to non gpu ops
2025-11-03T16:50:44.5869034Z cudagraph partition due to non gpu ops
2025-11-03T16:50:44.5869292Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:44.5869852Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:50:44.5870743Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:50:44.5871189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:50:44.5871627Z     return torch.as_tensor(x, device=device)
2025-11-03T16:50:44.5871785Z 
2025-11-03T16:50:44.5871898Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:44.5872398Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:50:44.5872965Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:50:44.5873135Z 
2025-11-03T16:50:45.2007180Z cudagraph partition due to non gpu ops
2025-11-03T16:50:45.2011679Z cudagraph partition due to non gpu ops
2025-11-03T16:50:45.2017099Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:45.2020297Z    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
2025-11-03T16:50:45.2020889Z     return cat([indices[:, None], boxes], dim=1)
2025-11-03T16:50:45.2021427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:50:45.2023317Z     return torch.cat(tensors, dim)
2025-11-03T16:50:45.2023615Z 
2025-11-03T16:50:45.8483155Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:45.8484053Z    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
2025-11-03T16:50:45.8484881Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:50:45.8485285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:50:45.8485636Z     return roi_align(
2025-11-03T16:50:45.8485966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:50:45.8486344Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:50:45.8486504Z 
2025-11-03T16:50:45.8486612Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:45.8487079Z    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
2025-11-03T16:50:45.8487528Z     return self.level_poolers[0](x[0], pooler_fmt_boxes)
2025-11-03T16:50:45.8487903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:50:45.8488238Z     return roi_align(
2025-11-03T16:50:45.8488549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:50:45.8488910Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:50:45.8489054Z 
2025-11-03T16:50:50.0649129Z cudagraph partition due to non gpu ops
2025-11-03T16:50:50.0653579Z cudagraph partition due to non gpu ops
2025-11-03T16:50:50.0657885Z cudagraph partition due to non gpu ops
2025-11-03T16:50:50.0660256Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0664549Z    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
2025-11-03T16:50:50.0665385Z     return self.res5(x)
2025-11-03T16:50:50.0670566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:50:50.0674789Z     out = self.conv1(x)
2025-11-03T16:50:50.0675370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:50:50.0675797Z     x = F.conv2d(
2025-11-03T16:50:50.0675901Z 
2025-11-03T16:50:50.0676027Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0676899Z    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
2025-11-03T16:50:50.0677460Z     return self.res5(x)
2025-11-03T16:50:50.0677830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:50:50.0678389Z     out = F.relu_(out)
2025-11-03T16:50:50.0678493Z 
2025-11-03T16:50:50.0678603Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0679227Z    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
2025-11-03T16:50:50.0679715Z     return self.res5(x)
2025-11-03T16:50:50.0680077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:50:50.0680461Z     out = self.conv2(out)
2025-11-03T16:50:50.0680781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:50:50.0681114Z     x = F.conv2d(
2025-11-03T16:50:50.0681211Z 
2025-11-03T16:50:50.0681311Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0681788Z    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
2025-11-03T16:50:50.0682230Z     return self.res5(x)
2025-11-03T16:50:50.0682557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:50:50.0682960Z     out = F.relu_(out)
2025-11-03T16:50:50.0683068Z 
2025-11-03T16:50:50.0683167Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0683638Z    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
2025-11-03T16:50:50.0684081Z     return self.res5(x)
2025-11-03T16:50:50.0684408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:50:50.0684767Z     out = self.conv3(out)
2025-11-03T16:50:50.0685096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:50:50.0685428Z     x = F.conv2d(
2025-11-03T16:50:50.0685518Z 
2025-11-03T16:50:50.0685623Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0686096Z    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
2025-11-03T16:50:50.0686538Z     return self.res5(x)
2025-11-03T16:50:50.0686867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward
2025-11-03T16:50:50.0687231Z     shortcut = self.shortcut(x)
2025-11-03T16:50:50.0687555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:50:50.0687877Z     x = F.conv2d(
2025-11-03T16:50:50.0687969Z 
2025-11-03T16:50:50.0688067Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0688579Z    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
2025-11-03T16:50:50.0689020Z     return self.res5(x)
2025-11-03T16:50:50.0689355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:50:50.0689733Z     out = self.conv1(x)
2025-11-03T16:50:50.0690066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:50:50.0690406Z     x = F.conv2d(
2025-11-03T16:50:50.0690516Z 
2025-11-03T16:50:50.0690626Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0691133Z    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
2025-11-03T16:50:50.0691588Z     return self.res5(x)
2025-11-03T16:50:50.0691940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:50:50.0692333Z     out = F.relu_(out)
2025-11-03T16:50:50.0692431Z 
2025-11-03T16:50:50.0692537Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0693006Z    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
2025-11-03T16:50:50.0693434Z     return self.res5(x)
2025-11-03T16:50:50.0693756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:50:50.0694104Z     out = self.conv2(out)
2025-11-03T16:50:50.0694404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:50:50.0694718Z     x = F.conv2d(
2025-11-03T16:50:50.0694808Z 
2025-11-03T16:50:50.0694906Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0695364Z    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
2025-11-03T16:50:50.0695789Z     return self.res5(x)
2025-11-03T16:50:50.0696143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:50:50.0696483Z     out = F.relu_(out)
2025-11-03T16:50:50.0696584Z 
2025-11-03T16:50:50.0696678Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0697132Z    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
2025-11-03T16:50:50.0697557Z     return self.res5(x)
2025-11-03T16:50:50.0697870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:50:50.0698209Z     out = self.conv3(out)
2025-11-03T16:50:50.0698515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:50:50.0698832Z     x = F.conv2d(
2025-11-03T16:50:50.0698915Z 
2025-11-03T16:50:50.0699010Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0699465Z    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
2025-11-03T16:50:50.0699885Z     return self.res5(x)
2025-11-03T16:50:50.0700206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:50:50.0700549Z     out = F.relu_(out)
2025-11-03T16:50:50.0700642Z 
2025-11-03T16:50:50.0700736Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0701207Z    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
2025-11-03T16:50:50.0701628Z     return self.res5(x)
2025-11-03T16:50:50.0701946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward
2025-11-03T16:50:50.0702292Z     out = self.conv1(x)
2025-11-03T16:50:50.0702586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:50:50.0702904Z     x = F.conv2d(
2025-11-03T16:50:50.0702994Z 
2025-11-03T16:50:50.0703088Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0703600Z    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
2025-11-03T16:50:50.0704028Z     return self.res5(x)
2025-11-03T16:50:50.0704352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward
2025-11-03T16:50:50.0704684Z     out = F.relu_(out)
2025-11-03T16:50:50.0704784Z 
2025-11-03T16:50:50.0704893Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0705348Z    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
2025-11-03T16:50:50.0705765Z     return self.res5(x)
2025-11-03T16:50:50.0706076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward
2025-11-03T16:50:50.0706416Z     out = self.conv2(out)
2025-11-03T16:50:50.0706722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:50:50.0707037Z     x = F.conv2d(
2025-11-03T16:50:50.0707120Z 
2025-11-03T16:50:50.0707223Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0707671Z    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
2025-11-03T16:50:50.0708093Z     return self.res5(x)
2025-11-03T16:50:50.0708410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward
2025-11-03T16:50:50.0708762Z     out = F.relu_(out)
2025-11-03T16:50:50.0708854Z 
2025-11-03T16:50:50.0708955Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0709401Z    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
2025-11-03T16:50:50.0709824Z     return self.res5(x)
2025-11-03T16:50:50.0710142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward
2025-11-03T16:50:50.0710500Z     out = self.conv3(out)
2025-11-03T16:50:50.0710810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:50:50.0711120Z     x = F.conv2d(
2025-11-03T16:50:50.0711211Z 
2025-11-03T16:50:50.0711305Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:50.0711764Z    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
2025-11-03T16:50:50.0712193Z     return self.res5(x)
2025-11-03T16:50:50.0712512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward
2025-11-03T16:50:50.0712856Z     out = F.relu_(out)
2025-11-03T16:50:50.0712959Z 
2025-11-03T16:50:54.8026302Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:54.8029065Z    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
2025-11-03T16:50:54.8030213Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:50:54.8030683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward
2025-11-03T16:50:54.8031068Z     scores = self.cls_score(x)
2025-11-03T16:50:54.8031202Z 
2025-11-03T16:50:54.8031320Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:54.8031870Z    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
2025-11-03T16:50:54.8032356Z     predictions = self.box_predictor(box_features.mean(dim=[2, 3]))
2025-11-03T16:50:54.8032864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward
2025-11-03T16:50:54.8033281Z     proposal_deltas = self.bbox_pred(x)
2025-11-03T16:50:54.8033423Z 
2025-11-03T16:50:56.2326438Z cudagraph partition due to non gpu ops
2025-11-03T16:50:56.2329150Z cudagraph partition due to non gpu ops
2025-11-03T16:50:56.2329424Z cudagraph partition due to non gpu ops
2025-11-03T16:50:56.2329987Z cudagraph partition due to non gpu ops
2025-11-03T16:50:56.2330230Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:56.2330700Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:50:56.2331135Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:50:56.2331560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes
2025-11-03T16:50:56.2332015Z     proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0)
2025-11-03T16:50:56.2332422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:50:56.2332759Z     return torch.cat(tensors, dim)
2025-11-03T16:50:56.2332890Z 
2025-11-03T16:50:56.2333001Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:56.2333402Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference
2025-11-03T16:50:56.2333813Z     boxes = self.predict_boxes(predictions, proposals)
2025-11-03T16:50:56.2334285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes
2025-11-03T16:50:56.2334711Z     predict_boxes = self.box2box_transform.apply_deltas(
2025-11-03T16:50:56.2335119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas
2025-11-03T16:50:56.2335511Z     pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:50:56.2335664Z 
2025-11-03T16:50:58.3337248Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:58.3343978Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:50:58.3349168Z     max_coordinate = boxes.max()
2025-11-03T16:50:58.3353205Z 
2025-11-03T16:50:58.3353681Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:58.3354355Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:50:58.3355300Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:50:58.3355509Z 
2025-11-03T16:50:59.0246135Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:59.0247988Z    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
2025-11-03T16:50:59.0248806Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:50:59.0253210Z 
2025-11-03T16:50:59.0253877Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:59.0254477Z    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
2025-11-03T16:50:59.0255060Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:50:59.0255264Z 
2025-11-03T16:50:59.0255394Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:50:59.0255924Z    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
2025-11-03T16:50:59.0256543Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:50:59.0256742Z 
2025-11-03T16:51:02.9197740Z cudagraph partition due to non gpu ops
2025-11-03T16:51:02.9198227Z cudagraph partition due to non gpu ops
2025-11-03T16:51:02.9198444Z cudagraph partition due to non gpu ops
2025-11-03T16:51:02.9198691Z cudagraph partition due to non gpu ops
2025-11-03T16:51:02.9198957Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:02.9199506Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:51:02.9200376Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:51:02.9200883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:51:02.9201306Z     return torch.as_tensor(x, device=device)
2025-11-03T16:51:02.9201471Z 
2025-11-03T16:51:02.9201589Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:02.9202106Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:51:02.9202574Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:51:02.9202768Z 
2025-11-03T16:51:05.9711189Z cudagraph partition due to non gpu ops
2025-11-03T16:51:05.9712741Z cudagraph partition due to non gpu ops
2025-11-03T16:51:05.9712963Z cudagraph partition due to non gpu ops
2025-11-03T16:51:05.9713606Z cudagraph partition due to non gpu ops
2025-11-03T16:51:05.9713883Z cudagraph partition due to non gpu ops
2025-11-03T16:51:05.9714451Z cudagraph partition due to non gpu ops
2025-11-03T16:51:05.9714701Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:05.9715329Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523
2025-11-03T16:51:05.9715837Z     return self.mask_head(x, instances)
2025-11-03T16:51:05.9716237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:51:05.9716624Z     x = self.layers(x)
2025-11-03T16:51:05.9716983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:51:05.9717356Z     x = layer(x)
2025-11-03T16:51:05.9717458Z 
2025-11-03T16:51:05.9717574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:05.9718249Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523
2025-11-03T16:51:05.9718790Z     return self.mask_head(x, instances)
2025-11-03T16:51:05.9719239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:51:05.9719620Z     x = self.layers(x)
2025-11-03T16:51:05.9719977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:51:05.9720356Z     x = layer(x)
2025-11-03T16:51:05.9720451Z 
2025-11-03T16:51:05.9720649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:05.9721159Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523
2025-11-03T16:51:05.9721709Z     return self.mask_head(x, instances)
2025-11-03T16:51:05.9722100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 197, in forward
2025-11-03T16:51:05.9722513Z     x = self.layers(x)
2025-11-03T16:51:05.9722854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 289, in layers
2025-11-03T16:51:05.9723283Z     x = layer(x)
2025-11-03T16:51:05.9723607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward
2025-11-03T16:51:05.9723953Z     x = F.conv2d(
2025-11-03T16:51:05.9724047Z 
2025-11-03T16:51:05.9724157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:05.9724651Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523
2025-11-03T16:51:05.9725172Z     return self.mask_head(x, instances)
2025-11-03T16:51:05.9725554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward
2025-11-03T16:51:05.9725939Z     mask_rcnn_inference(x, instances)
2025-11-03T16:51:05.9726345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 144, in mask_rcnn_inference
2025-11-03T16:51:05.9726792Z     class_pred = cat([i.pred_classes for i in pred_instances])
2025-11-03T16:51:05.9727175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat
2025-11-03T16:51:05.9727523Z     return torch.cat(tensors, dim)
2025-11-03T16:51:05.9727644Z 
2025-11-03T16:51:05.9727751Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:05.9728238Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/roi_heads.py", line 524, in torch_dynamo_resume_in_forward_with_given_boxes_at_523
2025-11-03T16:51:05.9728687Z     return self.mask_head(x, instances)
2025-11-03T16:51:05.9729088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 201, in forward
2025-11-03T16:51:05.9729460Z     mask_rcnn_inference(x, instances)
2025-11-03T16:51:05.9729850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/mask_head.py", line 151, in mask_rcnn_inference
2025-11-03T16:51:05.9730305Z     mask_probs_pred = pred_mask_logits[indices, class_pred][:, None].sigmoid()
2025-11-03T16:51:05.9730504Z 
2025-11-03T16:51:07.9183214Z cudagraph partition due to non gpu ops
2025-11-03T16:51:07.9183858Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:07.9184693Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:51:07.9185113Z     output_boxes.clip(results.image_size)
2025-11-03T16:51:07.9185481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip
2025-11-03T16:51:07.9185916Z     assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!"
2025-11-03T16:51:07.9186127Z 
2025-11-03T16:51:07.9186211Z cudagraph partition due to non gpu ops
2025-11-03T16:51:07.9186421Z cudagraph partition due to non gpu ops
2025-11-03T16:51:07.9186650Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:07.9187089Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess
2025-11-03T16:51:07.9187494Z     output_boxes.clip(results.image_size)
2025-11-03T16:51:07.9188160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip
2025-11-03T16:51:07.9188546Z     self.tensor = torch.stack((x1, y1, x2, y2), dim=-1)
2025-11-03T16:51:07.9188696Z 
2025-11-03T16:51:07.9188806Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:07.9189241Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess
2025-11-03T16:51:07.9189639Z     results = results[output_boxes.nonempty()]
2025-11-03T16:51:07.9189996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty
2025-11-03T16:51:07.9190373Z     keep = (widths > threshold) & (heights > threshold)
2025-11-03T16:51:07.9190591Z 
2025-11-03T16:51:09.3964184Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:09.3964874Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 51, in torch_dynamo_resume_in__do_paste_mask_at_51
2025-11-03T16:51:09.3965638Z     img_y = torch.arange(y0_int, y1_int, device=device, dtype=torch.float32) + 0.5
2025-11-03T16:51:09.3966120Z 
2025-11-03T16:51:09.9624996Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T16:51:09.9626150Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T16:51:09.9631366Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] or:
2025-11-03T16:51:09.9636180Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T16:51:09.9637433Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] to include these operations in the captured graph.
2025-11-03T16:51:09.9638031Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] 
2025-11-03T16:51:09.9638514Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] Graph break: from user code at:
2025-11-03T16:51:09.9639463Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 67, in torch_dynamo_resume_in__do_paste_mask_at_52
2025-11-03T16:51:09.9640374Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0]     return img_masks[:, 0], (slice(y0_int, y1_int), slice(x0_int, x1_int))
2025-11-03T16:51:09.9640867Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] 
2025-11-03T16:51:09.9641224Z W1103 16:51:09.960000 24595 site-packages/torch/_dynamo/variables/tensor.py:1060] [61/0] 
2025-11-03T16:51:10.4005977Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.4007088Z cudagraph partition due to non gpu ops
2025-11-03T16:51:10.4007571Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:51:10.4008203Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52
2025-11-03T16:51:10.4008661Z     grid = torch.stack([gx, gy], dim=3)
2025-11-03T16:51:10.4008802Z 
2025-11-03T16:51:23.7988232Z Compilation time (from dynamo_timed): 41.147609481
2025-11-03T16:51:23.7990098Z pass
2025-11-03T16:51:23.7990447Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:23.7991428Z TIMING: gc:0.05386 entire_frame_compile:41.14761 _recursive_pre_grad_passes:0.03332 async_compile.wait:6.21048 backend_compile:21.57026 _recursive_joint_graph_passes:0.47134 inductor_compile:9.86565 _recursive_post_grad_passes:0.08792 code_gen:8.38939 total_wall_time:41.14761
2025-11-03T16:51:23.7992923Z STATS: call_* op count: 764 | FakeTensorMode.__torch_dispatch__:10851 | FakeTensor.__torch_dispatch__:3041 | ProxyTorchDispatchMode.__torch_dispatch__:1134 | attempt fast:107 | slow no contiguity match:24 | fast is_contiguous:79 | slow both tensors nontrivially broadcast:4
2025-11-03T16:51:23.7993651Z Dynamo produced 67 graphs covering 764 ops with 56 graph breaks (8 unique)
2025-11-03T16:51:27.3587468Z /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.
2025-11-03T16:51:27.3588434Z   import pynvml  # type: ignore[import]
2025-11-03T16:51:29.4337913Z 
2025-11-03T16:51:33.9862369Z loading model: 0it [00:00, ?it/s]W1103 16:51:33.984000 25760 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.
2025-11-03T16:51:35.3225504Z 
2025-11-03T16:51:35.3230119Z loading model: 0it [00:05, ?it/s]
2025-11-03T16:51:35.3232852Z cpu  eval  detectron2_maskrcnn_r_50_fpn       
2025-11-03T16:51:48.8932549Z WARNING:common:fp64 golden ref were not generated for detectron2_maskrcnn_r_50_fpn. Setting accuracy check to cosine
2025-11-03T16:51:48.9209480Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:51:56.4833444Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:52:04.3926046Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:52:25.3090634Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:25.3091140Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla
2025-11-03T16:52:25.3091587Z     keep_mask = torch.zeros_like(scores, dtype=torch.bool)
2025-11-03T16:52:25.3091750Z 
2025-11-03T16:52:28.9060209Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:28.9063857Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:52:28.9064375Z     return roi_align(
2025-11-03T16:52:28.9065248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:52:28.9065655Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:52:28.9068045Z 
2025-11-03T16:52:28.9068188Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:28.9068718Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward
2025-11-03T16:52:28.9069814Z     return roi_align(
2025-11-03T16:52:28.9070525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align
2025-11-03T16:52:28.9071172Z     return torch.ops.torchvision.roi_align(
2025-11-03T16:52:28.9071352Z 
2025-11-03T16:52:34.2600316Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:34.2600984Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick
2025-11-03T16:52:34.2601555Z     max_coordinate = boxes.max()
2025-11-03T16:52:34.2601713Z 
2025-11-03T16:52:34.2601822Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:34.2602302Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick
2025-11-03T16:52:34.2602758Z     boxes_for_nms = boxes + offsets[:, None]
2025-11-03T16:52:34.2602961Z 
2025-11-03T16:52:35.0290315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:35.0291562Z    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
2025-11-03T16:52:35.0292160Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:52:35.0292363Z 
2025-11-03T16:52:35.0292471Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:35.0292986Z    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
2025-11-03T16:52:35.0293534Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:52:35.0293727Z 
2025-11-03T16:52:35.0293832Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:35.0294416Z    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
2025-11-03T16:52:35.0294946Z     boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep]
2025-11-03T16:52:35.0295132Z 
2025-11-03T16:52:39.0759132Z cudagraph partition due to non gpu ops
2025-11-03T16:52:39.0763835Z cudagraph partition due to non gpu ops
2025-11-03T16:52:39.0764554Z cudagraph partition due to non gpu ops
2025-11-03T16:52:39.0764758Z cudagraph partition due to non gpu ops
2025-11-03T16:52:39.0764994Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:39.0765483Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format
2025-11-03T16:52:39.0765933Z     sizes = shapes_to_tensor([x.__len__() for x in box_lists])
2025-11-03T16:52:39.0766341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor
2025-11-03T16:52:39.0766736Z     return torch.as_tensor(x, device=device)
2025-11-03T16:52:39.0767220Z 
2025-11-03T16:52:39.0767336Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:39.0767791Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format
2025-11-03T16:52:39.0768232Z     boxes = torch.cat([x.tensor for x in box_lists], dim=0)
2025-11-03T16:52:39.0768398Z 
2025-11-03T16:52:43.4143775Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T16:52:43.4144694Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T16:52:43.4145366Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] or:
2025-11-03T16:52:43.4150858Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T16:52:43.4152587Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] to include these operations in the captured graph.
2025-11-03T16:52:43.4153118Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] 
2025-11-03T16:52:43.4153551Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] Graph break: from user code at:
2025-11-03T16:52:43.4154282Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 67, in torch_dynamo_resume_in__do_paste_mask_at_52
2025-11-03T16:52:43.4155091Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0]     return img_masks[:, 0], (slice(y0_int, y1_int), slice(x0_int, x1_int))
2025-11-03T16:52:43.4155571Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] 
2025-11-03T16:52:43.4155922Z W1103 16:52:43.412000 25760 site-packages/torch/_dynamo/variables/tensor.py:1060] [67/0] 
2025-11-03T16:52:43.8508915Z cudagraph partition due to non gpu ops
2025-11-03T16:52:43.8509486Z cudagraph partition due to non gpu ops
2025-11-03T16:52:43.8513029Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:52:43.8513608Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/mask_ops.py", line 59, in torch_dynamo_resume_in__do_paste_mask_at_52
2025-11-03T16:52:43.8514050Z     grid = torch.stack([gx, gy], dim=3)
2025-11-03T16:52:43.8514184Z 
2025-11-03T16:52:52.9446301Z Compilation time (from dynamo_timed): 42.292159766
2025-11-03T16:52:52.9446775Z pass
2025-11-03T16:52:52.9449718Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:52:52.9450785Z TIMING: gc:0.0684 entire_frame_compile:42.29216 _recursive_pre_grad_passes:0.03977 async_compile.wait:2.40151 backend_compile:14.04835 _recursive_joint_graph_passes:0.16501 inductor_compile:3.31632 _recursive_post_grad_passes:0.03098 code_gen:2.9594 total_wall_time:42.29216
2025-11-03T16:52:52.9451903Z STATS: call_* op count: 1130 | FakeTensorMode.__torch_dispatch__:12553 | FakeTensor.__torch_dispatch__:1415 | ProxyTorchDispatchMode.__torch_dispatch__:338 | attempt fast:146 | slow no contiguity match:40 | fast is_contiguous:102 | slow both tensors nontrivially broadcast:4
2025-11-03T16:52:52.9452686Z Dynamo produced 78 graphs covering 1130 ops with 62 graph breaks (8 unique)
2025-11-03T16:52:56.9339319Z /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.
2025-11-03T16:52:56.9340261Z   import pynvml  # type: ignore[import]
2025-11-03T16:52:58.9511768Z 
2025-11-03T16:53:04.3900341Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:53:04.3900631Z loading model: 0it [00:05, ?it/s]
2025-11-03T16:53:04.3900834Z cpu  eval  dlrm                               
2025-11-03T16:53:04.9396966Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:53:05.1184777Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:53:05.3114690Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:53:07.4239192Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4239544Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4239761Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4239967Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4240178Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4240391Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4240602Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4240813Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4241062Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4241461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4241806Z     return mod(*inputs)
2025-11-03T16:53:07.4242112Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4242473Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4242839Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-11-03T16:53:07.4243196Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-11-03T16:53:07.4243527Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4243838Z     return layers(x)
2025-11-03T16:53:07.4243946Z 
2025-11-03T16:53:07.4244061Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4244427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4244766Z     return mod(*inputs)
2025-11-03T16:53:07.4245121Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4245472Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4245882Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:53:07.4246237Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:53:07.4246572Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:53:07.4246939Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:53:07.4247123Z 
2025-11-03T16:53:07.4247232Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4247654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4247984Z     return mod(*inputs)
2025-11-03T16:53:07.4248267Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4248600Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4248959Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:53:07.4249362Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:53:07.4249688Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:53:07.4250096Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:53:07.4250270Z 
2025-11-03T16:53:07.4250377Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4250735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4251063Z     return mod(*inputs)
2025-11-03T16:53:07.4251343Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4251679Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4252044Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:53:07.4252386Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:53:07.4252709Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:53:07.4253050Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:53:07.4253246Z 
2025-11-03T16:53:07.4253353Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4253717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4254031Z     return mod(*inputs)
2025-11-03T16:53:07.4254300Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4254612Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4254952Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:53:07.4255279Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:53:07.4255583Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:53:07.4255913Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:53:07.4256073Z 
2025-11-03T16:53:07.4256172Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4256518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4256825Z     return mod(*inputs)
2025-11-03T16:53:07.4257091Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4257406Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4257745Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:53:07.4258073Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:53:07.4258397Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:53:07.4258717Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:53:07.4258882Z 
2025-11-03T16:53:07.4258982Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4259372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4259689Z     return mod(*inputs)
2025-11-03T16:53:07.4259963Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4260290Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4260673Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:53:07.4261024Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:53:07.4261332Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:53:07.4261671Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:53:07.4261825Z 
2025-11-03T16:53:07.4261924Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4262287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4262599Z     return mod(*inputs)
2025-11-03T16:53:07.4262867Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4263187Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4263521Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:53:07.4263843Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:53:07.4264141Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:53:07.4264462Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:53:07.4264613Z 
2025-11-03T16:53:07.4264713Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4265050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4265355Z     return mod(*inputs)
2025-11-03T16:53:07.4265611Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4265932Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4266264Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-11-03T16:53:07.4266583Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-11-03T16:53:07.4267098Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-11-03T16:53:07.4267444Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-11-03T16:53:07.4267596Z 
2025-11-03T16:53:07.4267696Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4268042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4268353Z     return mod(*inputs)
2025-11-03T16:53:07.4268618Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4268936Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4269280Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-11-03T16:53:07.4269714Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-11-03T16:53:07.4270013Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4270305Z     return layers(x)
2025-11-03T16:53:07.4270410Z 
2025-11-03T16:53:07.4270507Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4270845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4271143Z     return mod(*inputs)
2025-11-03T16:53:07.4272038Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4272367Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4272702Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-11-03T16:53:07.4273021Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-11-03T16:53:07.4273320Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4273612Z     return layers(x)
2025-11-03T16:53:07.4273709Z 
2025-11-03T16:53:07.4273795Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4274001Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4274226Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4274427Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4274625Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4274819Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4275008Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4275206Z cudagraph partition due to non gpu ops
2025-11-03T16:53:07.4275432Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4275771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4276108Z     return mod(*inputs)
2025-11-03T16:53:07.4276373Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4276695Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4277034Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-11-03T16:53:07.4277363Z     z = self.interact_features(x, ly)
2025-11-03T16:53:07.4277682Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 318, in interact_features
2025-11-03T16:53:07.4278130Z     T = torch.cat([x] + ly, dim=1).view((batch_size, -1, d))
2025-11-03T16:53:07.4278316Z 
2025-11-03T16:53:07.4278431Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4278811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4279150Z     return mod(*inputs)
2025-11-03T16:53:07.4279453Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4279786Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4280165Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-11-03T16:53:07.4280496Z     z = self.interact_features(x, ly)
2025-11-03T16:53:07.4280812Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 320, in interact_features
2025-11-03T16:53:07.4281150Z     Z = torch.bmm(T, torch.transpose(T, 1, 2))
2025-11-03T16:53:07.4281296Z 
2025-11-03T16:53:07.4281398Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4281747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4282058Z     return mod(*inputs)
2025-11-03T16:53:07.4282327Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4282655Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4282998Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-11-03T16:53:07.4283324Z     z = self.interact_features(x, ly)
2025-11-03T16:53:07.4283634Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 337, in interact_features
2025-11-03T16:53:07.4283952Z     Zflat = Z[:, li, lj]
2025-11-03T16:53:07.4284067Z 
2025-11-03T16:53:07.4284171Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4284513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4284819Z     return mod(*inputs)
2025-11-03T16:53:07.4285128Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4285455Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4285796Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-11-03T16:53:07.4286120Z     z = self.interact_features(x, ly)
2025-11-03T16:53:07.4286428Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 339, in interact_features
2025-11-03T16:53:07.4286749Z     R = torch.cat([x] + [Zflat], dim=1)
2025-11-03T16:53:07.4286882Z 
2025-11-03T16:53:07.4286984Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4287328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4287659Z     return mod(*inputs)
2025-11-03T16:53:07.4287929Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4288256Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4288602Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:53:07.4288932Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:53:07.4289252Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4289551Z     return layers(x)
2025-11-03T16:53:07.4289658Z 
2025-11-03T16:53:07.4289760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4290106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4290413Z     return mod(*inputs)
2025-11-03T16:53:07.4290683Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4291010Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4291355Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:53:07.4291679Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:53:07.4291987Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4292280Z     return layers(x)
2025-11-03T16:53:07.4292383Z 
2025-11-03T16:53:07.4292482Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4292837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4293140Z     return mod(*inputs)
2025-11-03T16:53:07.4293402Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4293717Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4294056Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:53:07.4294371Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:53:07.4294659Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4294947Z     return layers(x)
2025-11-03T16:53:07.4295042Z 
2025-11-03T16:53:07.4295150Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4295490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4295826Z     return mod(*inputs)
2025-11-03T16:53:07.4296093Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4296413Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4296748Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:53:07.4297059Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:53:07.4297347Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4297634Z     return layers(x)
2025-11-03T16:53:07.4297727Z 
2025-11-03T16:53:07.4297833Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4298186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4298488Z     return mod(*inputs)
2025-11-03T16:53:07.4298748Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4299066Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4299405Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:53:07.4299719Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:53:07.4300007Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4300294Z     return layers(x)
2025-11-03T16:53:07.4300405Z 
2025-11-03T16:53:07.4300510Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4300852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4301152Z     return mod(*inputs)
2025-11-03T16:53:07.4301414Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4301732Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4302083Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:53:07.4302404Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:53:07.4302703Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4302987Z     return layers(x)
2025-11-03T16:53:07.4303089Z 
2025-11-03T16:53:07.4303186Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4303528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4303838Z     return mod(*inputs)
2025-11-03T16:53:07.4304091Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4304412Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4304748Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:53:07.4305069Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:53:07.4305367Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4305651Z     return layers(x)
2025-11-03T16:53:07.4305753Z 
2025-11-03T16:53:07.4305870Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:53:07.4306207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:53:07.4306514Z     return mod(*inputs)
2025-11-03T16:53:07.4306776Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-11-03T16:53:07.4307083Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-11-03T16:53:07.4307412Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-11-03T16:53:07.4307723Z     p = self.apply_mlp(z, self.top_l)
2025-11-03T16:53:07.4308019Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-11-03T16:53:07.4308298Z     return layers(x)
2025-11-03T16:53:07.4308401Z 
2025-11-03T16:53:15.0809661Z Compilation time (from dynamo_timed): 9.198469301
2025-11-03T16:53:15.0813843Z pass
2025-11-03T16:53:15.0818775Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:53:15.0819559Z TIMING: _recursive_pre_grad_passes:0.00383 _recursive_joint_graph_passes:0.30903 _recursive_post_grad_passes:0.01618 async_compile.wait:0.50568 code_gen:7.5297 inductor_compile:7.67847 backend_compile:8.76139 gc:0.00027 entire_frame_compile:9.19847 total_wall_time:9.19847
2025-11-03T16:53:15.0820444Z STATS: call_* op count: 36 | FakeTensorMode.__torch_dispatch__:1197 | FakeTensor.__torch_dispatch__:365 | ProxyTorchDispatchMode.__torch_dispatch__:192
2025-11-03T16:53:15.0821143Z Dynamo produced 1 graphs covering 36 ops with 0 graph breaks (0 unique)
2025-11-03T16:53:16.5090652Z /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.
2025-11-03T16:53:16.5091701Z   import pynvml  # type: ignore[import]
2025-11-03T16:53:18.5197140Z 
2025-11-03T16:53:19.5585943Z 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
2025-11-03T16:53:19.8894395Z 
2025-11-03T16:53:19.8898405Z 
2025-11-03T16:53:19.9896142Z   0% 0/102021912 [00:00<?, ?it/s]
2025-11-03T16:53:19.9896831Z 
2025-11-03T16:53:20.0944479Z  38% 38923264/102021912 [00:00<00:00, 389224659.34it/s]
2025-11-03T16:53:20.0945277Z 
2025-11-03T16:53:20.1669811Z  76% 77846528/102021912 [00:00<00:00, 378814575.71it/s]
2025-11-03T16:53:20.1670159Z 102022144it [00:00, 368053188.33it/s]                  
2025-11-03T16:53:21.1648732Z 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
2025-11-03T16:53:21.4751411Z 
2025-11-03T16:53:21.4753821Z 
2025-11-03T16:53:21.5752298Z   0% 0/63303144 [00:00<?, ?it/s]
2025-11-03T16:53:21.5752821Z 
2025-11-03T16:53:21.6347167Z  62% 39252992/63303144 [00:00<00:00, 391770907.21it/s]
2025-11-03T16:53:21.6347657Z 63303680it [00:00, 396279625.26it/s]                  
2025-11-03T16:53:24.1796744Z 
2025-11-03T16:53:24.1799607Z loading model: 0it [00:05, ?it/s]
2025-11-03T16:53:24.1805835Z cpu  eval  doctr_det_predictor                
2025-11-03T16:53:39.9815308Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:53:43.5345183Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:53:46.8968547Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:01.0944975Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0946203Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0946442Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0946700Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0948254Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0948486Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0948697Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0948935Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0949176Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0949409Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0949628Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0949835Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0950034Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0950267Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0950489Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0950711Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0950929Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0951138Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0951358Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0951581Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0951788Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0952000Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0952210Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0952421Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.0952662Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0953212Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0953809Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0954205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0954588Z     x = module(x)
2025-11-03T16:54:01.0954694Z 
2025-11-03T16:54:01.0954811Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0955320Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0955770Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0956127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0956539Z     x = module(x)
2025-11-03T16:54:01.0956635Z 
2025-11-03T16:54:01.0956741Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0957221Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0957670Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0958220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0958664Z     x = module(x)
2025-11-03T16:54:01.0958764Z 
2025-11-03T16:54:01.0958877Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0959367Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0959816Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0960161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0960499Z     x = module(x)
2025-11-03T16:54:01.0960815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.0961162Z     out = self.conv1(x)
2025-11-03T16:54:01.0961272Z 
2025-11-03T16:54:01.0961388Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0961863Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0962299Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0962663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0963000Z     x = module(x)
2025-11-03T16:54:01.0963311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.0963653Z     out = self.relu(out)
2025-11-03T16:54:01.0963771Z 
2025-11-03T16:54:01.0963875Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0964341Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0964781Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0965124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0965453Z     x = module(x)
2025-11-03T16:54:01.0965766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.0966116Z     out = self.conv2(out)
2025-11-03T16:54:01.0966228Z 
2025-11-03T16:54:01.0966340Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0966812Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0967437Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0967787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0968127Z     x = module(x)
2025-11-03T16:54:01.0968625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.0968972Z     out = self.relu(out)
2025-11-03T16:54:01.0969086Z 
2025-11-03T16:54:01.0969193Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0969666Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0970110Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0970513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0970879Z     x = module(x)
2025-11-03T16:54:01.0971194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.0971540Z     out = self.conv3(out)
2025-11-03T16:54:01.0971651Z 
2025-11-03T16:54:01.0971761Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0972226Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0972693Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0973035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0973379Z     x = module(x)
2025-11-03T16:54:01.0973695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-11-03T16:54:01.0974048Z     identity = self.downsample(x)
2025-11-03T16:54:01.0974184Z 
2025-11-03T16:54:01.0974290Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0974758Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0975198Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0975539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0975872Z     x = module(x)
2025-11-03T16:54:01.0976181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.0976529Z     out = self.conv1(x)
2025-11-03T16:54:01.0976631Z 
2025-11-03T16:54:01.0976765Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0977210Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0977630Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0977968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0978291Z     x = module(x)
2025-11-03T16:54:01.0978582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.0978905Z     out = self.relu(out)
2025-11-03T16:54:01.0979016Z 
2025-11-03T16:54:01.0979113Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0979560Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0979981Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0980304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0980614Z     x = module(x)
2025-11-03T16:54:01.0980915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.0981248Z     out = self.conv2(out)
2025-11-03T16:54:01.0981352Z 
2025-11-03T16:54:01.0981458Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0981922Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0982347Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0982691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0983034Z     x = module(x)
2025-11-03T16:54:01.0983349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.0983685Z     out = self.relu(out)
2025-11-03T16:54:01.0983802Z 
2025-11-03T16:54:01.0983906Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0984372Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0984823Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0985157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0985481Z     x = module(x)
2025-11-03T16:54:01.0985793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.0986149Z     out = self.conv3(out)
2025-11-03T16:54:01.0986255Z 
2025-11-03T16:54:01.0986365Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0986818Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0987236Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0987567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0987897Z     x = module(x)
2025-11-03T16:54:01.0988201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.0988533Z     out = self.relu(out)
2025-11-03T16:54:01.0988642Z 
2025-11-03T16:54:01.0988739Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0989166Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0989572Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0989925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0990226Z     x = module(x)
2025-11-03T16:54:01.0990513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.0990832Z     out = self.conv1(x)
2025-11-03T16:54:01.0990931Z 
2025-11-03T16:54:01.0991034Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0991462Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0991878Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0992207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0992515Z     x = module(x)
2025-11-03T16:54:01.0992801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.0993112Z     out = self.relu(out)
2025-11-03T16:54:01.0993217Z 
2025-11-03T16:54:01.0993315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0993741Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0994151Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0994463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0994762Z     x = module(x)
2025-11-03T16:54:01.0995073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.0995400Z     out = self.conv2(out)
2025-11-03T16:54:01.0995503Z 
2025-11-03T16:54:01.0995609Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0996042Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0996461Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0996785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0997105Z     x = module(x)
2025-11-03T16:54:01.0997398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.0997770Z     out = self.relu(out)
2025-11-03T16:54:01.0997982Z 
2025-11-03T16:54:01.0998094Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.0998570Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.0999028Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.0999412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.0999733Z     x = module(x)
2025-11-03T16:54:01.1000056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1000396Z     out = self.conv3(out)
2025-11-03T16:54:01.1000501Z 
2025-11-03T16:54:01.1000611Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1001053Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1001473Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1001798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1002121Z     x = module(x)
2025-11-03T16:54:01.1002418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1002743Z     out = self.relu(out)
2025-11-03T16:54:01.1002849Z 
2025-11-03T16:54:01.1002948Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1003412Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1003835Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1004163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1004479Z     x = module(x)
2025-11-03T16:54:01.1004778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1005107Z     out = self.conv1(x)
2025-11-03T16:54:01.1005207Z 
2025-11-03T16:54:01.1005315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1005750Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1006171Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1006496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1006815Z     x = module(x)
2025-11-03T16:54:01.1007111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1007429Z     out = self.relu(out)
2025-11-03T16:54:01.1007539Z 
2025-11-03T16:54:01.1007637Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1008082Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1008516Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1008838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1009163Z     x = module(x)
2025-11-03T16:54:01.1009461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1009792Z     out = self.conv2(out)
2025-11-03T16:54:01.1009896Z 
2025-11-03T16:54:01.1010000Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1010440Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1010871Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1011192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1011510Z     x = module(x)
2025-11-03T16:54:01.1011806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1012129Z     out = self.relu(out)
2025-11-03T16:54:01.1012236Z 
2025-11-03T16:54:01.1012402Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1012846Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1013264Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1013583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1013902Z     x = module(x)
2025-11-03T16:54:01.1014201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1014529Z     out = self.conv3(out)
2025-11-03T16:54:01.1014631Z 
2025-11-03T16:54:01.1014738Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1015174Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1015589Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1015914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1016232Z     x = module(x)
2025-11-03T16:54:01.1016539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-11-03T16:54:01.1016877Z     identity = self.downsample(x)
2025-11-03T16:54:01.1017006Z 
2025-11-03T16:54:01.1017103Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1017641Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1018073Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1018397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1018720Z     x = module(x)
2025-11-03T16:54:01.1019066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1019405Z     out = self.conv1(x)
2025-11-03T16:54:01.1019505Z 
2025-11-03T16:54:01.1019616Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1020055Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1020472Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1020796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1021113Z     x = module(x)
2025-11-03T16:54:01.1021401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1021726Z     out = self.relu(out)
2025-11-03T16:54:01.1021851Z 
2025-11-03T16:54:01.1021951Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1022470Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1022896Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1023215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1023546Z     x = module(x)
2025-11-03T16:54:01.1023871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1024227Z     out = self.conv2(out)
2025-11-03T16:54:01.1024329Z 
2025-11-03T16:54:01.1024443Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1024869Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1025278Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1025592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1025918Z     x = module(x)
2025-11-03T16:54:01.1026197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1026517Z     out = self.relu(out)
2025-11-03T16:54:01.1026625Z 
2025-11-03T16:54:01.1026719Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1027147Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1027553Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1027854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1028161Z     x = module(x)
2025-11-03T16:54:01.1028448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1028765Z     out = self.conv3(out)
2025-11-03T16:54:01.1028865Z 
2025-11-03T16:54:01.1028967Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1029409Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1029818Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1030133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1030444Z     x = module(x)
2025-11-03T16:54:01.1030725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1031045Z     out = self.relu(out)
2025-11-03T16:54:01.1031147Z 
2025-11-03T16:54:01.1031242Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1031680Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1032090Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1032396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1032712Z     x = module(x)
2025-11-03T16:54:01.1032997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1033317Z     out = self.conv1(x)
2025-11-03T16:54:01.1033413Z 
2025-11-03T16:54:01.1033509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1033941Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1034348Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1034688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1035006Z     x = module(x)
2025-11-03T16:54:01.1035289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1035617Z     out = self.relu(out)
2025-11-03T16:54:01.1035720Z 
2025-11-03T16:54:01.1035818Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1036253Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1036668Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1037000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1037315Z     x = module(x)
2025-11-03T16:54:01.1037611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1037998Z     out = self.conv2(out)
2025-11-03T16:54:01.1038105Z 
2025-11-03T16:54:01.1038203Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1038679Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1039118Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1039457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1039791Z     x = module(x)
2025-11-03T16:54:01.1040085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1040425Z     out = self.relu(out)
2025-11-03T16:54:01.1040533Z 
2025-11-03T16:54:01.1040632Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1041076Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1041497Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1041808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1042125Z     x = module(x)
2025-11-03T16:54:01.1042475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1042805Z     out = self.conv3(out)
2025-11-03T16:54:01.1042908Z 
2025-11-03T16:54:01.1043005Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1043445Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1043863Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1044187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1044509Z     x = module(x)
2025-11-03T16:54:01.1044798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1045128Z     out = self.relu(out)
2025-11-03T16:54:01.1045234Z 
2025-11-03T16:54:01.1045332Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1045775Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1046197Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1046513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1046831Z     x = module(x)
2025-11-03T16:54:01.1047124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1047452Z     out = self.conv1(x)
2025-11-03T16:54:01.1047551Z 
2025-11-03T16:54:01.1047685Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1048134Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1048552Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1048875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1049196Z     x = module(x)
2025-11-03T16:54:01.1049485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1049817Z     out = self.relu(out)
2025-11-03T16:54:01.1049936Z 
2025-11-03T16:54:01.1050042Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1050479Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1050884Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1051210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1051519Z     x = module(x)
2025-11-03T16:54:01.1051829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1052149Z     out = self.conv2(out)
2025-11-03T16:54:01.1052249Z 
2025-11-03T16:54:01.1052343Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1052776Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1053183Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1053498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1053803Z     x = module(x)
2025-11-03T16:54:01.1054083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1054404Z     out = self.relu(out)
2025-11-03T16:54:01.1054500Z 
2025-11-03T16:54:01.1054601Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1055044Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1055475Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1055801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1056120Z     x = module(x)
2025-11-03T16:54:01.1056417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1056758Z     out = self.conv3(out)
2025-11-03T16:54:01.1056857Z 
2025-11-03T16:54:01.1056952Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1057391Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1057799Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1058115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1058418Z     x = module(x)
2025-11-03T16:54:01.1058709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1059027Z     out = self.relu(out)
2025-11-03T16:54:01.1059123Z 
2025-11-03T16:54:01.1059226Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1059659Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1060056Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1060368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1060700Z     x = module(x)
2025-11-03T16:54:01.1061003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1061320Z     out = self.conv1(x)
2025-11-03T16:54:01.1061419Z 
2025-11-03T16:54:01.1061514Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1061944Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1062352Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1062669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1062989Z     x = module(x)
2025-11-03T16:54:01.1063276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1063591Z     out = self.relu(out)
2025-11-03T16:54:01.1063688Z 
2025-11-03T16:54:01.1063791Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1064221Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1064638Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1064955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1065266Z     x = module(x)
2025-11-03T16:54:01.1065551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1065872Z     out = self.conv2(out)
2025-11-03T16:54:01.1065971Z 
2025-11-03T16:54:01.1066066Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1066498Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1067105Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1067429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1067734Z     x = module(x)
2025-11-03T16:54:01.1068027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1069141Z     out = self.relu(out)
2025-11-03T16:54:01.1069251Z 
2025-11-03T16:54:01.1069355Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1069788Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1070190Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1070507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1070816Z     x = module(x)
2025-11-03T16:54:01.1071104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1071416Z     out = self.conv3(out)
2025-11-03T16:54:01.1071522Z 
2025-11-03T16:54:01.1071617Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1072050Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1072466Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1072783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1073086Z     x = module(x)
2025-11-03T16:54:01.1073375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-11-03T16:54:01.1073706Z     identity = self.downsample(x)
2025-11-03T16:54:01.1073826Z 
2025-11-03T16:54:01.1073929Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1074404Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1074803Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1075119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1075425Z     x = module(x)
2025-11-03T16:54:01.1075719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1076035Z     out = self.conv1(x)
2025-11-03T16:54:01.1076145Z 
2025-11-03T16:54:01.1076241Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1076729Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1077148Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1077477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1077787Z     x = module(x)
2025-11-03T16:54:01.1078185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1078589Z     out = self.relu(out)
2025-11-03T16:54:01.1078699Z 
2025-11-03T16:54:01.1078820Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1079341Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1079755Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1080079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1080402Z     x = module(x)
2025-11-03T16:54:01.1080699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1081019Z     out = self.conv2(out)
2025-11-03T16:54:01.1081131Z 
2025-11-03T16:54:01.1081228Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1081679Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1082096Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1082439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1082754Z     x = module(x)
2025-11-03T16:54:01.1083050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1083380Z     out = self.relu(out)
2025-11-03T16:54:01.1083479Z 
2025-11-03T16:54:01.1083582Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1084015Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1084436Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1084757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1085075Z     x = module(x)
2025-11-03T16:54:01.1085365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1085685Z     out = self.conv3(out)
2025-11-03T16:54:01.1085794Z 
2025-11-03T16:54:01.1085891Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1086336Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1086757Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1087080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1087394Z     x = module(x)
2025-11-03T16:54:01.1087716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1088044Z     out = self.relu(out)
2025-11-03T16:54:01.1088146Z 
2025-11-03T16:54:01.1088249Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1088682Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1089099Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1089423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1089764Z     x = module(x)
2025-11-03T16:54:01.1090058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1090380Z     out = self.conv1(x)
2025-11-03T16:54:01.1090490Z 
2025-11-03T16:54:01.1090588Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1091039Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1091480Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1091812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1092114Z     x = module(x)
2025-11-03T16:54:01.1092400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1092717Z     out = self.relu(out)
2025-11-03T16:54:01.1092813Z 
2025-11-03T16:54:01.1092916Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1093339Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1093747Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1094060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1094371Z     x = module(x)
2025-11-03T16:54:01.1094660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1094972Z     out = self.conv2(out)
2025-11-03T16:54:01.1095079Z 
2025-11-03T16:54:01.1095205Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1095644Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1096058Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1096381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1096694Z     x = module(x)
2025-11-03T16:54:01.1096991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1097325Z     out = self.relu(out)
2025-11-03T16:54:01.1097426Z 
2025-11-03T16:54:01.1097533Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1097978Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1098392Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1098714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1099040Z     x = module(x)
2025-11-03T16:54:01.1099342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1099671Z     out = self.conv3(out)
2025-11-03T16:54:01.1099782Z 
2025-11-03T16:54:01.1099883Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1100355Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1100772Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1101092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1101413Z     x = module(x)
2025-11-03T16:54:01.1101717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1102037Z     out = self.relu(out)
2025-11-03T16:54:01.1102134Z 
2025-11-03T16:54:01.1102237Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1102662Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1103087Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1103403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1103716Z     x = module(x)
2025-11-03T16:54:01.1104008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1104341Z     out = self.conv1(x)
2025-11-03T16:54:01.1104447Z 
2025-11-03T16:54:01.1104540Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1104975Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1105387Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1105697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1106011Z     x = module(x)
2025-11-03T16:54:01.1106305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1106636Z     out = self.relu(out)
2025-11-03T16:54:01.1106736Z 
2025-11-03T16:54:01.1106852Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1107278Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1107686Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1108020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1108333Z     x = module(x)
2025-11-03T16:54:01.1108615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1108935Z     out = self.conv2(out)
2025-11-03T16:54:01.1109045Z 
2025-11-03T16:54:01.1109138Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1109573Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1109980Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1110288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1110601Z     x = module(x)
2025-11-03T16:54:01.1110890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1111209Z     out = self.relu(out)
2025-11-03T16:54:01.1111306Z 
2025-11-03T16:54:01.1111409Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1111829Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1112235Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1112547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1112856Z     x = module(x)
2025-11-03T16:54:01.1113190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1113513Z     out = self.conv3(out)
2025-11-03T16:54:01.1113620Z 
2025-11-03T16:54:01.1113715Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1114149Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1114569Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1114885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1115203Z     x = module(x)
2025-11-03T16:54:01.1115496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1115841Z     out = self.relu(out)
2025-11-03T16:54:01.1115943Z 
2025-11-03T16:54:01.1116048Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1116486Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1116903Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1117248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1117569Z     x = module(x)
2025-11-03T16:54:01.1117960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1118322Z     out = self.conv1(x)
2025-11-03T16:54:01.1118446Z 
2025-11-03T16:54:01.1118559Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1119088Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1119562Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1119929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1120268Z     x = module(x)
2025-11-03T16:54:01.1120581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1120919Z     out = self.relu(out)
2025-11-03T16:54:01.1121022Z 
2025-11-03T16:54:01.1121122Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1121596Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1122012Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1122334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1122656Z     x = module(x)
2025-11-03T16:54:01.1122944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1123288Z     out = self.conv2(out)
2025-11-03T16:54:01.1123397Z 
2025-11-03T16:54:01.1123495Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1123939Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1124355Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1124672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1124992Z     x = module(x)
2025-11-03T16:54:01.1125290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1125617Z     out = self.relu(out)
2025-11-03T16:54:01.1125716Z 
2025-11-03T16:54:01.1125812Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1126257Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1126696Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1127024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1127349Z     x = module(x)
2025-11-03T16:54:01.1127636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1127964Z     out = self.conv3(out)
2025-11-03T16:54:01.1128072Z 
2025-11-03T16:54:01.1128170Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1128613Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1129056Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1129372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1129694Z     x = module(x)
2025-11-03T16:54:01.1129994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1130321Z     out = self.relu(out)
2025-11-03T16:54:01.1130419Z 
2025-11-03T16:54:01.1130534Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1130975Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1131391Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1131714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1132031Z     x = module(x)
2025-11-03T16:54:01.1132318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1132640Z     out = self.conv1(x)
2025-11-03T16:54:01.1132745Z 
2025-11-03T16:54:01.1132842Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1133282Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1133698Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1134024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1134333Z     x = module(x)
2025-11-03T16:54:01.1134644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1134967Z     out = self.relu(out)
2025-11-03T16:54:01.1135064Z 
2025-11-03T16:54:01.1135160Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1135592Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1135997Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1136312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1136625Z     x = module(x)
2025-11-03T16:54:01.1136903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1137222Z     out = self.conv2(out)
2025-11-03T16:54:01.1137330Z 
2025-11-03T16:54:01.1137426Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1137856Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1138255Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1138570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1138882Z     x = module(x)
2025-11-03T16:54:01.1139172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1139490Z     out = self.relu(out)
2025-11-03T16:54:01.1139607Z 
2025-11-03T16:54:01.1139703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1140136Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1140540Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1140854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1141162Z     x = module(x)
2025-11-03T16:54:01.1141439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1141778Z     out = self.conv3(out)
2025-11-03T16:54:01.1141879Z 
2025-11-03T16:54:01.1141981Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1142412Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1142810Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1143125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1143466Z     x = module(x)
2025-11-03T16:54:01.1143755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1144071Z     out = self.relu(out)
2025-11-03T16:54:01.1144167Z 
2025-11-03T16:54:01.1144263Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1144693Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1145096Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1145409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1145718Z     x = module(x)
2025-11-03T16:54:01.1145997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1146312Z     out = self.conv1(x)
2025-11-03T16:54:01.1146409Z 
2025-11-03T16:54:01.1146513Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1146960Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1147364Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1147678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1147988Z     x = module(x)
2025-11-03T16:54:01.1148282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1148598Z     out = self.relu(out)
2025-11-03T16:54:01.1148696Z 
2025-11-03T16:54:01.1148792Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1149228Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1149641Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1149956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1150261Z     x = module(x)
2025-11-03T16:54:01.1150553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1150874Z     out = self.conv2(out)
2025-11-03T16:54:01.1150976Z 
2025-11-03T16:54:01.1151083Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1151520Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1151923Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1152259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1152569Z     x = module(x)
2025-11-03T16:54:01.1152858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1153178Z     out = self.relu(out)
2025-11-03T16:54:01.1153274Z 
2025-11-03T16:54:01.1153369Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1153798Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1154199Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1154536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1154845Z     x = module(x)
2025-11-03T16:54:01.1155142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1155468Z     out = self.conv3(out)
2025-11-03T16:54:01.1155571Z 
2025-11-03T16:54:01.1155675Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1156120Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1156527Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1156850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1157169Z     x = module(x)
2025-11-03T16:54:01.1157461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-11-03T16:54:01.1157791Z     identity = self.downsample(x)
2025-11-03T16:54:01.1157997Z 
2025-11-03T16:54:01.1158098Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1158599Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1159076Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1159453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1159782Z     x = module(x)
2025-11-03T16:54:01.1160117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1160449Z     out = self.conv1(x)
2025-11-03T16:54:01.1160552Z 
2025-11-03T16:54:01.1160670Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1161160Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1161621Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1161977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1162331Z     x = module(x)
2025-11-03T16:54:01.1162658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1163017Z     out = self.relu(out)
2025-11-03T16:54:01.1163138Z 
2025-11-03T16:54:01.1163245Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1163735Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1164200Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1164553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1164898Z     x = module(x)
2025-11-03T16:54:01.1165225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1165576Z     out = self.conv2(out)
2025-11-03T16:54:01.1165678Z 
2025-11-03T16:54:01.1165804Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1166248Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1166661Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1167161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1167495Z     x = module(x)
2025-11-03T16:54:01.1167794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1168120Z     out = self.relu(out)
2025-11-03T16:54:01.1168294Z 
2025-11-03T16:54:01.1168476Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1168925Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1169335Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1169655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1170006Z     x = module(x)
2025-11-03T16:54:01.1170303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1170626Z     out = self.conv3(out)
2025-11-03T16:54:01.1170740Z 
2025-11-03T16:54:01.1170837Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1171283Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1171706Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1172031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1172345Z     x = module(x)
2025-11-03T16:54:01.1172643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1172968Z     out = self.relu(out)
2025-11-03T16:54:01.1173067Z 
2025-11-03T16:54:01.1173173Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1173618Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1174056Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1174381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1174699Z     x = module(x)
2025-11-03T16:54:01.1174995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-11-03T16:54:01.1175315Z     out = self.conv1(x)
2025-11-03T16:54:01.1175423Z 
2025-11-03T16:54:01.1175519Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1175963Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1176380Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1176705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1177017Z     x = module(x)
2025-11-03T16:54:01.1177312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:54:01.1177637Z     out = self.relu(out)
2025-11-03T16:54:01.1177736Z 
2025-11-03T16:54:01.1177840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1178314Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1178717Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1179061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1179371Z     x = module(x)
2025-11-03T16:54:01.1179658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-11-03T16:54:01.1179972Z     out = self.conv2(out)
2025-11-03T16:54:01.1180083Z 
2025-11-03T16:54:01.1180179Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1180614Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1181021Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1181343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1181672Z     x = module(x)
2025-11-03T16:54:01.1181976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:54:01.1182295Z     out = self.relu(out)
2025-11-03T16:54:01.1182393Z 
2025-11-03T16:54:01.1182499Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1182924Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1183345Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1183659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1183973Z     x = module(x)
2025-11-03T16:54:01.1184258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-11-03T16:54:01.1184574Z     out = self.conv3(out)
2025-11-03T16:54:01.1184694Z 
2025-11-03T16:54:01.1184789Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1185220Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-11-03T16:54:01.1185630Z     feats = self.feat_extractor(x)
2025-11-03T16:54:01.1185945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-11-03T16:54:01.1186254Z     x = module(x)
2025-11-03T16:54:01.1186543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:54:01.1186881Z     out = self.relu(out)
2025-11-03T16:54:01.1186981Z 
2025-11-03T16:54:01.1187084Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1187506Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1187920Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1188315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-11-03T16:54:01.1188791Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:54:01.1189270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-11-03T16:54:01.1189740Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:54:01.1189929Z 
2025-11-03T16:54:01.1190027Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1190459Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1190865Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1191262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-11-03T16:54:01.1191715Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:54:01.1192202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-11-03T16:54:01.1192678Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:54:01.1192865Z 
2025-11-03T16:54:01.1192962Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1193393Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1193804Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1194191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-11-03T16:54:01.1194695Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:54:01.1195175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-11-03T16:54:01.1195659Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:54:01.1195835Z 
2025-11-03T16:54:01.1195955Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1196379Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1196785Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1197192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-11-03T16:54:01.1197634Z     out.append(self.upsample(out[-1]) + t)
2025-11-03T16:54:01.1197776Z 
2025-11-03T16:54:01.1197963Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1198435Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1198879Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1199287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-11-03T16:54:01.1199778Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:54:01.1200309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-11-03T16:54:01.1200818Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:54:01.1201025Z 
2025-11-03T16:54:01.1201135Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1201606Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1202055Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1202487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-11-03T16:54:01.1202934Z     out.append(self.upsample(out[-1]) + t)
2025-11-03T16:54:01.1203084Z 
2025-11-03T16:54:01.1203188Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1203656Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1204096Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1204522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-11-03T16:54:01.1205025Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:54:01.1205535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-11-03T16:54:01.1206070Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-11-03T16:54:01.1206263Z 
2025-11-03T16:54:01.1206378Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1206848Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1207284Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1207717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-11-03T16:54:01.1208168Z     out.append(self.upsample(out[-1]) + t)
2025-11-03T16:54:01.1208316Z 
2025-11-03T16:54:01.1208419Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1208854Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1209260Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1209661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:54:01.1210202Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1210665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:54:01.1211125Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1211291Z 
2025-11-03T16:54:01.1211387Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1211820Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1212223Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1212616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:54:01.1213068Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1213513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:54:01.1213989Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1214163Z 
2025-11-03T16:54:01.1214258Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1214695Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1215104Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1215493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:54:01.1215946Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1216400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:54:01.1216854Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1217016Z 
2025-11-03T16:54:01.1217121Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1217545Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1217953Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1218351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:54:01.1218801Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1219272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:54:01.1219729Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1219890Z 
2025-11-03T16:54:01.1219986Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1220415Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1220822Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1221213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:54:01.1221719Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1222167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:54:01.1222629Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1222799Z 
2025-11-03T16:54:01.1222914Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1223345Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1223746Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1224129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:54:01.1224587Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1225038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:54:01.1225499Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1225668Z 
2025-11-03T16:54:01.1225786Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1226210Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1226616Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1227027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:54:01.1227472Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1227921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:54:01.1228363Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1228531Z 
2025-11-03T16:54:01.1228628Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1229060Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1229470Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1229861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-11-03T16:54:01.1230299Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1230751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-11-03T16:54:01.1231204Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-11-03T16:54:01.1231371Z 
2025-11-03T16:54:01.1231466Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1231907Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-11-03T16:54:01.1232313Z     feat_concat = self.fpn(feats)
2025-11-03T16:54:01.1232696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 92, in forward
2025-11-03T16:54:01.1233102Z     return torch.cat(out, dim=1)
2025-11-03T16:54:01.1233221Z 
2025-11-03T16:54:01.1233300Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.1233525Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1233949Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-11-03T16:54:01.1234381Z     logits = self.prob_head(feat_concat)
2025-11-03T16:54:01.1234513Z 
2025-11-03T16:54:01.1234609Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1235053Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-11-03T16:54:01.1235475Z     logits = self.prob_head(feat_concat)
2025-11-03T16:54:01.1235600Z 
2025-11-03T16:54:01.1235720Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1236156Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-11-03T16:54:01.1236571Z     logits = self.prob_head(feat_concat)
2025-11-03T16:54:01.1236691Z 
2025-11-03T16:54:01.1236796Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1237242Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-11-03T16:54:01.1237647Z     logits = self.prob_head(feat_concat)
2025-11-03T16:54:01.1237779Z 
2025-11-03T16:54:01.1237922Z cudagraph partition due to non gpu ops
2025-11-03T16:54:01.1238167Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:01.1238638Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 211, in forward
2025-11-03T16:54:01.1239121Z     prob_map = _bf16_to_float32(torch.sigmoid(logits))
2025-11-03T16:54:01.1239270Z 
2025-11-03T16:54:17.1142239Z Compilation time (from dynamo_timed): 28.125763752
2025-11-03T16:54:17.1143061Z pass
2025-11-03T16:54:17.1143593Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:17.1144394Z TIMING: gc:0.00173 entire_frame_compile:28.12576 _recursive_pre_grad_passes:0.00765 _recursive_joint_graph_passes:0.17967 _recursive_post_grad_passes:0.10819 async_compile.wait:0.94459 code_gen:13.80716 inductor_compile:16.13215 backend_compile:19.95097 total_wall_time:28.12576
2025-11-03T16:54:17.1149978Z STATS: call_* op count: 215 | FakeTensorMode.__torch_dispatch__:10726 | FakeTensor.__torch_dispatch__:7820 | ProxyTorchDispatchMode.__torch_dispatch__:3990
2025-11-03T16:54:17.1150643Z Dynamo produced 1 graphs covering 215 ops with 3 graph breaks (2 unique)
2025-11-03T16:54:19.3496947Z /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.
2025-11-03T16:54:19.3498519Z   import pynvml  # type: ignore[import]
2025-11-03T16:54:21.4220778Z 
2025-11-03T16:54:23.7141459Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:54:23.7141756Z loading model: 0it [00:02, ?it/s]
2025-11-03T16:54:23.7147347Z cpu  eval  doctr_reco_predictor               
2025-11-03T16:54:23.9244825Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:23.9719040Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:24.0143604Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:27.8860971Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8862594Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8862999Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8868949Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8869266Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8869471Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8869680Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8869891Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8870094Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8870639Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8870852Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8871052Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8871253Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8871444Z cudagraph partition due to non gpu ops
2025-11-03T16:54:27.8871723Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8872185Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8872638Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8872767Z 
2025-11-03T16:54:27.8872883Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8873289Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8873661Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8873794Z 
2025-11-03T16:54:27.8873896Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8874297Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8874671Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8874792Z 
2025-11-03T16:54:27.8874902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8875292Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8875661Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8875798Z 
2025-11-03T16:54:27.8875949Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8876335Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8876697Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8876812Z 
2025-11-03T16:54:27.8876909Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8877301Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8877679Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8877805Z 
2025-11-03T16:54:27.8878087Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8878512Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8878906Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8879034Z 
2025-11-03T16:54:27.8879131Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8879528Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8879900Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8880022Z 
2025-11-03T16:54:27.8880122Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8880518Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8880888Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8881008Z 
2025-11-03T16:54:27.8881164Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8881557Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8881919Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8882048Z 
2025-11-03T16:54:27.8882145Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8882542Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8882910Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8883030Z 
2025-11-03T16:54:27.8883136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8883549Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8883920Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8884046Z 
2025-11-03T16:54:27.8884143Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8884537Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8884934Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8885055Z 
2025-11-03T16:54:27.8885154Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8885557Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8885932Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8886054Z 
2025-11-03T16:54:27.8886159Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8886562Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8886930Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8887060Z 
2025-11-03T16:54:27.8887157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8887554Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8887928Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8888049Z 
2025-11-03T16:54:27.8888155Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8888576Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8888946Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8889065Z 
2025-11-03T16:54:27.8889170Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8889560Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8889919Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8890050Z 
2025-11-03T16:54:27.8890146Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8890537Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8890905Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8891027Z 
2025-11-03T16:54:27.8891130Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8891516Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8891888Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8892012Z 
2025-11-03T16:54:27.8892106Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8892495Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8892862Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8892982Z 
2025-11-03T16:54:27.8893078Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8893483Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8893848Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8893969Z 
2025-11-03T16:54:27.8894075Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8894466Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8894825Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8894951Z 
2025-11-03T16:54:27.8895047Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8895436Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8895820Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8895939Z 
2025-11-03T16:54:27.8896042Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8896425Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8896790Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8896934Z 
2025-11-03T16:54:27.8897032Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8897425Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8897789Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8897915Z 
2025-11-03T16:54:27.8898012Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8898404Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8898774Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8898892Z 
2025-11-03T16:54:27.8898997Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8899382Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8899754Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8899882Z 
2025-11-03T16:54:27.8899980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8900393Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8900765Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8900885Z 
2025-11-03T16:54:27.8900981Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8901373Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8901743Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8901862Z 
2025-11-03T16:54:27.8901964Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:27.8902410Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-11-03T16:54:27.8902769Z     features = self.feat_extractor(x)
2025-11-03T16:54:27.8902896Z 
2025-11-03T16:54:37.1826413Z Compilation time (from dynamo_timed): 12.707942435
2025-11-03T16:54:37.1826969Z pass
2025-11-03T16:54:37.1827298Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:37.1828045Z TIMING: gc:0.00071 entire_frame_compile:12.70794 _recursive_pre_grad_passes:0.00392 _recursive_joint_graph_passes:0.1308 _recursive_post_grad_passes:0.02827 async_compile.wait:0.70912 code_gen:9.16909 inductor_compile:9.55441 backend_compile:10.87366 total_wall_time:12.70794
2025-11-03T16:54:37.1828901Z STATS: call_* op count: 46 | FakeTensorMode.__torch_dispatch__:2421 | FakeTensor.__torch_dispatch__:1328 | ProxyTorchDispatchMode.__torch_dispatch__:722
2025-11-03T16:54:37.1829477Z Dynamo produced 1 graphs covering 46 ops with 1 graph breaks (1 unique)
2025-11-03T16:54:38.8119819Z /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.
2025-11-03T16:54:38.8120836Z   import pynvml  # type: ignore[import]
2025-11-03T16:54:40.8359667Z 
2025-11-03T16:54:40.8817081Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-11-03T16:54:40.8817692Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-11-03T16:54:40.8818581Z 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.
2025-11-03T16:54:40.8819138Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-11-03T16:54:41.4272615Z 
2025-11-03T16:54:41.4273268Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:54:41.4273811Z cpu  eval  drq                                
2025-11-03T16:54:41.4358032Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:41.4410300Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:41.4453860Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:43.3830357Z cudagraph partition due to non gpu ops
2025-11-03T16:54:43.3830710Z cudagraph partition due to non gpu ops
2025-11-03T16:54:43.3830958Z cudagraph partition due to non gpu ops
2025-11-03T16:54:43.3831168Z cudagraph partition due to non gpu ops
2025-11-03T16:54:43.3831401Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3831797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3832132Z     return mod(*inputs)
2025-11-03T16:54:43.3832394Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:54:43.3832704Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:54:43.3832998Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-11-03T16:54:43.3833627Z     h = self.forward_conv(obs)
2025-11-03T16:54:43.3833923Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-11-03T16:54:43.3834217Z     conv = torch.relu(self.convs[0](obs))
2025-11-03T16:54:43.3834364Z 
2025-11-03T16:54:43.3834474Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3834840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3835168Z     return mod(*inputs)
2025-11-03T16:54:43.3835420Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:54:43.3835710Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:54:43.3836005Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-11-03T16:54:43.3836269Z     h = self.forward_conv(obs)
2025-11-03T16:54:43.3836533Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-11-03T16:54:43.3836812Z     conv = torch.relu(self.convs[i](conv))
2025-11-03T16:54:43.3836949Z 
2025-11-03T16:54:43.3837053Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3837395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3837735Z     return mod(*inputs)
2025-11-03T16:54:43.3838189Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:54:43.3838507Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:54:43.3838820Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-11-03T16:54:43.3839115Z     h = self.forward_conv(obs)
2025-11-03T16:54:43.3839529Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-11-03T16:54:43.3839828Z     conv = torch.relu(self.convs[i](conv))
2025-11-03T16:54:43.3839976Z 
2025-11-03T16:54:43.3840088Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3840453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3840833Z     return mod(*inputs)
2025-11-03T16:54:43.3841076Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:54:43.3841367Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:54:43.3841719Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-11-03T16:54:43.3841985Z     h = self.forward_conv(obs)
2025-11-03T16:54:43.3842254Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-11-03T16:54:43.3842534Z     conv = torch.relu(self.convs[i](conv))
2025-11-03T16:54:43.3842675Z 
2025-11-03T16:54:43.3842778Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3843127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3843502Z     return mod(*inputs)
2025-11-03T16:54:43.3843736Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:54:43.3844026Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:54:43.3844318Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-11-03T16:54:43.3844615Z     h = self.forward_conv(obs)
2025-11-03T16:54:43.3844881Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-11-03T16:54:43.3845159Z     conv = torch.relu(self.convs[i](conv))
2025-11-03T16:54:43.3845295Z 
2025-11-03T16:54:43.3845396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3845748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3846152Z     return mod(*inputs)
2025-11-03T16:54:43.3846390Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:54:43.3846679Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:54:43.3846962Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward
2025-11-03T16:54:43.3847285Z     out = self.head(h)
2025-11-03T16:54:43.3847393Z 
2025-11-03T16:54:43.3847504Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3847870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3848232Z     return mod(*inputs)
2025-11-03T16:54:43.3848480Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-11-03T16:54:43.3848789Z     obs = self.encoder(obs, detach=detach_encoder)
2025-11-03T16:54:43.3849068Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward
2025-11-03T16:54:43.3849363Z     out = torch.tanh(out)
2025-11-03T16:54:43.3849482Z 
2025-11-03T16:54:43.3849585Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3849953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3850292Z     return mod(*inputs)
2025-11-03T16:54:43.3850527Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-11-03T16:54:43.3850813Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-11-03T16:54:43.3850957Z 
2025-11-03T16:54:43.3851066Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3851453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3851784Z     return mod(*inputs)
2025-11-03T16:54:43.3852023Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-11-03T16:54:43.3852338Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-11-03T16:54:43.3852474Z 
2025-11-03T16:54:43.3852605Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3852944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3853240Z     return mod(*inputs)
2025-11-03T16:54:43.3853470Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-11-03T16:54:43.3853745Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-11-03T16:54:43.3853877Z 
2025-11-03T16:54:43.3853984Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3854308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3854642Z     return mod(*inputs)
2025-11-03T16:54:43.3854876Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-11-03T16:54:43.3855153Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-11-03T16:54:43.3855288Z 
2025-11-03T16:54:43.3855393Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3855726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3856032Z     return mod(*inputs)
2025-11-03T16:54:43.3856296Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-11-03T16:54:43.3856577Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-11-03T16:54:43.3856719Z 
2025-11-03T16:54:43.3856821Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:54:43.3857164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:43.3857474Z     return mod(*inputs)
2025-11-03T16:54:43.3857724Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward
2025-11-03T16:54:43.3857994Z     std = log_std.exp()
2025-11-03T16:54:43.3858094Z 
2025-11-03T16:54:51.8427671Z Compilation time (from dynamo_timed): 9.992746108
2025-11-03T16:54:51.8427973Z pass
2025-11-03T16:54:51.8428283Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:51.8429053Z TIMING: _recursive_pre_grad_passes:0.00427 _recursive_joint_graph_passes:0.31523 _recursive_post_grad_passes:0.01675 async_compile.wait:0.75279 code_gen:8.12257 inductor_compile:8.23621 backend_compile:9.32848 gc:0.00127 entire_frame_compile:9.99275 total_wall_time:9.99275
2025-11-03T16:54:51.8430186Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:245 | FakeTensorMode.__torch_dispatch__:864 | ProxyTorchDispatchMode.__torch_dispatch__:126
2025-11-03T16:54:51.8430682Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-11-03T16:54:53.3004600Z /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.
2025-11-03T16:54:53.3006081Z   import pynvml  # type: ignore[import]
2025-11-03T16:54:55.3379600Z 
2025-11-03T16:54:56.6443559Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:54:56.6443884Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:54:56.6456727Z cpu  eval  fastNLP_Bert                       
2025-11-03T16:54:57.7214245Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:58.2558934Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:58.7741710Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:54:59.3262720Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T16:54:59.3263971Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T16:54:59.3264864Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] or:
2025-11-03T16:54:59.3265356Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T16:54:59.3265909Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] to include these operations in the captured graph.
2025-11-03T16:54:59.3266378Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] 
2025-11-03T16:54:59.3266809Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] Graph break: from user code at:
2025-11-03T16:54:59.3267784Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:54:59.3268391Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     return mod(*inputs)
2025-11-03T16:54:59.3269007Z W1103 16:54:59.324000 30208 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
2025-11-03T16:54:59.3269717Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     sequence_output = self.bert(words)
2025-11-03T16:54:59.3270397Z W1103 16:54:59.324000 30208 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
2025-11-03T16:54:59.3271058Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     outputs = self.model(words)
2025-11-03T16:54:59.3271718Z W1103 16:54:59.324000 30208 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
2025-11-03T16:54:59.3275435Z W1103 16:54:59.324000 30208 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)
2025-11-03T16:54:59.3276016Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] 
2025-11-03T16:54:59.3276441Z W1103 16:54:59.324000 30208 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] 
2025-11-03T16:55:00.5212392Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:00.5213394Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-11-03T16:55:00.5214354Z     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-11-03T16:55:00.5214615Z 
2025-11-03T16:55:00.5214729Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:00.5215149Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward
2025-11-03T16:55:00.5215532Z     seq_len = word_mask.sum(dim=-1)
2025-11-03T16:55:00.5215662Z 
2025-11-03T16:55:13.8125792Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8126400Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward
2025-11-03T16:55:13.8126835Z     embedding_output = self.embeddings(input_ids, token_type_ids)
2025-11-03T16:55:13.8127299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward
2025-11-03T16:55:13.8127735Z     embeddings = words_embeddings + position_embeddings + token_type_embeddings
2025-11-03T16:55:13.8127955Z 
2025-11-03T16:55:13.8128063Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8128451Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8129158Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8129551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8129959Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8130355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8130775Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8131180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8131640Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8132017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8132378Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8132535Z 
2025-11-03T16:55:13.8132642Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8133038Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8133485Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8133861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8134243Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8134628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8135042Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8135435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8135856Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8136217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8136619Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8136760Z 
2025-11-03T16:55:13.8136872Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8137300Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8137683Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8138052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8138455Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8138835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8139231Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8139619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8139983Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8140347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8140703Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8140843Z 
2025-11-03T16:55:13.8140931Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8141134Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8141365Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8141751Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8142127Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8142528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8142915Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8143322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8143745Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8144159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8144557Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8144956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8145371Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8145511Z 
2025-11-03T16:55:13.8145626Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8146021Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8146396Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8146794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8147186Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8147572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8147973Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8148383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8148741Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8148881Z 
2025-11-03T16:55:13.8148982Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8149375Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8149756Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8150136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8150535Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8150958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8151359Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8151742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8152122Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8152530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8152886Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8153040Z 
2025-11-03T16:55:13.8153140Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8153511Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8153882Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8154246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8154619Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8155001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8155410Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8155810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8156183Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8156323Z 
2025-11-03T16:55:13.8156427Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8156822Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8157217Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8157590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8158105Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8158522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8158939Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8159391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8159757Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8160113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8160486Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8160633Z 
2025-11-03T16:55:13.8160734Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8161099Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8161453Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8161800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8162173Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8162592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8162983Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8163370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8163731Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8164112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8164460Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8164592Z 
2025-11-03T16:55:13.8164698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8165069Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8165423Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8165781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8166159Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8166533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8167123Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8167525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8167895Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8168260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8168680Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8168822Z 
2025-11-03T16:55:13.8168902Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8169112Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8169384Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8169751Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8170111Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8170459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8170839Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8171213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8171629Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8172009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8172392Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8172769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8173117Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8173293Z 
2025-11-03T16:55:13.8173399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8173756Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8174114Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8174475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8174841Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8175203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8175566Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8175937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8176275Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8176402Z 
2025-11-03T16:55:13.8176505Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8176888Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8177233Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8177578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8177947Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8178309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8178677Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8179039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8179401Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8179759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8180118Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8180259Z 
2025-11-03T16:55:13.8180355Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8180709Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8181061Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8181408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8181791Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8182152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8182541Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8182923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8183267Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8183395Z 
2025-11-03T16:55:13.8183501Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8183852Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8184226Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8184572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8184946Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8185314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8185701Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8186079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8186433Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8186789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8187129Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8187273Z 
2025-11-03T16:55:13.8187505Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8187861Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8188215Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8188560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8188919Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8189305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8189689Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8190069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8190426Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8190772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8191109Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8191245Z 
2025-11-03T16:55:13.8191343Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8191700Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8192054Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8192392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8192759Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8193120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8193498Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8193872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8194263Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8194638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8195001Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8195140Z 
2025-11-03T16:55:13.8195227Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8195437Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8195663Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8196026Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8196384Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8196747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8197103Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8197468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8198050Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8198513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8198924Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8199322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8199754Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8199907Z 
2025-11-03T16:55:13.8200012Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8200408Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8200793Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8201167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8201570Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8201977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8202383Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8202837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8203209Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8203356Z 
2025-11-03T16:55:13.8203462Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8203852Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8204234Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8204606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8205004Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8205407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8205812Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8206214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8206605Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8206997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8207381Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8207536Z 
2025-11-03T16:55:13.8207647Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8208049Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8208431Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8208781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8209147Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8209512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8209889Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8210289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8210626Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8210756Z 
2025-11-03T16:55:13.8210861Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8211248Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8211598Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8211963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8212352Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8212717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8213097Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8213472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8213832Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8214188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8214536Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8214673Z 
2025-11-03T16:55:13.8214780Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8215132Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8215506Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8215856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8216225Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8216581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8216966Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8217345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8217701Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8218056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8218407Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8218544Z 
2025-11-03T16:55:13.8218642Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8218998Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8219349Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8219725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8220084Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8220464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8220847Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8221231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8221595Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8221948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8222305Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8222448Z 
2025-11-03T16:55:13.8222560Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8222762Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8222979Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8223346Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8223698Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8224046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8224427Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8224784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8225168Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8225544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8225915Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8226280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8226613Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8226753Z 
2025-11-03T16:55:13.8226849Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8227211Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8227560Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8227918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8228286Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8228649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8229018Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8229388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8229721Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8229859Z 
2025-11-03T16:55:13.8229956Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8230313Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8230669Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8231016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8231375Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8231739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8232110Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8232477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8232859Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8233210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8233564Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8233711Z 
2025-11-03T16:55:13.8233808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8234166Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8234539Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8234891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8235289Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8235662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8236062Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8236445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8236813Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8236953Z 
2025-11-03T16:55:13.8237053Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8237423Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8237785Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8238228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8238637Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8239036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8239454Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8239850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8240216Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8240613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8241043Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8241185Z 
2025-11-03T16:55:13.8241290Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8241656Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8242010Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8242364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8242741Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8243114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8243504Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8243896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8244262Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8244627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8244979Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8245111Z 
2025-11-03T16:55:13.8245211Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8245582Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8245959Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8246323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8246743Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8247122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8247524Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8247928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8248313Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8248679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8249028Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8249177Z 
2025-11-03T16:55:13.8249255Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8249460Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8250487Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8250848Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8251216Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8251577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8251956Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8252338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8252723Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8253116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8253497Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8253873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8254223Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8254373Z 
2025-11-03T16:55:13.8254472Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8254842Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8255205Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8255560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8255921Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8256286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8256661Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8257031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8257370Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8257500Z 
2025-11-03T16:55:13.8257596Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8257959Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8258312Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8258657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8259024Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8259399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8259773Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8260146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8260511Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8260873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8261223Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8261387Z 
2025-11-03T16:55:13.8261483Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8261842Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8262193Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8262541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8262902Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8263354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8263748Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8264129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8264466Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8264606Z 
2025-11-03T16:55:13.8264704Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8265066Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8265423Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8265776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8266142Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8266511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8267090Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8267486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8267853Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8268208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8268561Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8268711Z 
2025-11-03T16:55:13.8268809Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8269170Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8269526Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8269868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8270239Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8270610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8270995Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8271370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8271731Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8272123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8272467Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8272597Z 
2025-11-03T16:55:13.8272702Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8273053Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8273409Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8273755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8274117Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8274503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8274874Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8275251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8275605Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8275984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8276325Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8276461Z 
2025-11-03T16:55:13.8276537Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8276737Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8276958Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8277318Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8277738Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8278175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8278580Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8278981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8279385Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8279784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8280170Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8280565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8280936Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8281076Z 
2025-11-03T16:55:13.8281189Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8281574Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8281954Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8282330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8282725Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8283110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8283515Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8283915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8284289Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8284427Z 
2025-11-03T16:55:13.8284538Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8284933Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8285314Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8285687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8286087Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8286481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8286879Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8287282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8287696Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8288082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8288468Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8288622Z 
2025-11-03T16:55:13.8288726Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8289118Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8289467Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8289812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8290174Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8290530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8290913Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8291286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8291623Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8291751Z 
2025-11-03T16:55:13.8291847Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8292200Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8292546Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8292905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8293270Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8293628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8294011Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8294387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8294746Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8295101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8295442Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8295586Z 
2025-11-03T16:55:13.8295682Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8296038Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8296387Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8296733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8297099Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8297463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8297860Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8298240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8298588Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8298948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8299290Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8299417Z 
2025-11-03T16:55:13.8299523Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8299898Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8300239Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8300583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8300950Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8301318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8301726Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8302101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8302463Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8302825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8303174Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8303312Z 
2025-11-03T16:55:13.8303396Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8303589Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8303816Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8304178Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8304537Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8304876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8305261Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8305632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8306014Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8306393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8306755Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8307124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8307465Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8307595Z 
2025-11-03T16:55:13.8307698Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8308057Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8308404Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8308749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8309118Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8309484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8309851Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8310241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8310582Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8310710Z 
2025-11-03T16:55:13.8310813Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8311169Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8311511Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8311856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8312242Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8312607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8312978Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8313340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8313710Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8314087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8314441Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8314582Z 
2025-11-03T16:55:13.8314687Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8315036Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8315389Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8315735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8316102Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8316464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8316893Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8317282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8317655Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8317792Z 
2025-11-03T16:55:13.8317967Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8318348Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8318741Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8319150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8319581Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8320039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8320513Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8320915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8321291Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8321666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8322029Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8322172Z 
2025-11-03T16:55:13.8322273Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8322646Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8323067Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8323429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8323806Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8324178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8324569Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8324959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8325340Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8325694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8326043Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8326180Z 
2025-11-03T16:55:13.8326280Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8326651Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8327030Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8327377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8327755Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8328131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8328522Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8328910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8329269Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8329629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8329984Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8330125Z 
2025-11-03T16:55:13.8330212Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8330417Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8330654Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8331024Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8331388Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8331747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8332124Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8332492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8332877Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8333260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8333632Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8333993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8334334Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8334469Z 
2025-11-03T16:55:13.8334565Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8334927Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8335281Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8335643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8336011Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8336376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8336753Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8337115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8337455Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8337590Z 
2025-11-03T16:55:13.8337685Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8338064Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8338414Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8338752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8339118Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8339477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8339872Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8340240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8340597Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8340954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8341308Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8341448Z 
2025-11-03T16:55:13.8341554Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8341915Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8342264Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8342614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8342983Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8343368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8343756Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8344146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8344500Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8344640Z 
2025-11-03T16:55:13.8344739Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8345110Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8345463Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8345823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8346201Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8346580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8346980Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8347356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8347717Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8348073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8348441Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8348580Z 
2025-11-03T16:55:13.8348694Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8349049Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8349403Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8349747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8350111Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8350500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8350874Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8351254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8351614Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8351972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8352321Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8352456Z 
2025-11-03T16:55:13.8352553Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8352913Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8353263Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8353611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8353966Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8354333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8354731Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8355121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8355490Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8355857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8356218Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8356363Z 
2025-11-03T16:55:13.8356443Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8356651Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8356870Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8357239Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8357601Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8358030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8358423Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8358802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8359200Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8359600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8359989Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8360373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8360720Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8360864Z 
2025-11-03T16:55:13.8360984Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8361362Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8361727Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8362085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8362458Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8362831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8363231Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8363611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8363952Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8364091Z 
2025-11-03T16:55:13.8364192Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8364555Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8364941Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8365295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8365662Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8366032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8366412Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8366788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8367284Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8367654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8368021Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8368178Z 
2025-11-03T16:55:13.8368279Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8368695Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8369058Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8369405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8369779Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8370150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8370544Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8370930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8371274Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8371414Z 
2025-11-03T16:55:13.8371513Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8371889Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8372242Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8372580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8372948Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8373309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8373718Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8374097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8374448Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8374805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8375151Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8375287Z 
2025-11-03T16:55:13.8375390Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8375748Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8376115Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8376464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8376835Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8377200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8377605Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8377979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8378338Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8378697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8379043Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8379172Z 
2025-11-03T16:55:13.8379267Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8379628Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8379982Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8380333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8380703Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8381076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8381464Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8381848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8382209Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8382565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8382909Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8383053Z 
2025-11-03T16:55:13.8383133Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8383342Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8383566Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8383925Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8384283Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8384636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8385030Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8385404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8385784Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8386187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8386558Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8386929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8387271Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8387403Z 
2025-11-03T16:55:13.8387500Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8387862Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8388218Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8388580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8388948Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8389306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8389679Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8390071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8390409Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8390536Z 
2025-11-03T16:55:13.8390632Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8390988Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8391337Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8391683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8392043Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8392400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8392769Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8393141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8393502Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8393881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8394229Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8394378Z 
2025-11-03T16:55:13.8394477Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8394840Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8395190Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8395540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8395904Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8396271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8396656Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8397038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8397377Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8397505Z 
2025-11-03T16:55:13.8397605Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8398058Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8398447Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8398853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8399293Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8399681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8400086Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8400489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8400873Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8401258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8401628Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8401780Z 
2025-11-03T16:55:13.8401879Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8402258Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8402630Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8403045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8403431Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8403817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8404218Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8404617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8404986Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8405361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8405717Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8405850Z 
2025-11-03T16:55:13.8405958Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8406326Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8406718Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8407086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8407476Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8407864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8408259Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8408664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8409045Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8409422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8409787Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8409932Z 
2025-11-03T16:55:13.8410014Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8410228Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8410463Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8410848Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8411213Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8411583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8411985Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8412375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8412779Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8413174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8413572Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8413967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8414354Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8414487Z 
2025-11-03T16:55:13.8414594Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8414966Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8415353Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8415696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8416079Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8416441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8416807Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8417177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8417519Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8417647Z 
2025-11-03T16:55:13.8417752Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8418100Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8418456Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8418801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8419172Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8419547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8419917Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8420290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8420658Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8421018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8421373Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8421514Z 
2025-11-03T16:55:13.8421610Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8421971Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8422325Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8422667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8423032Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8423393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8423778Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8435076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8435470Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8435712Z 
2025-11-03T16:55:13.8435833Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8436216Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8436628Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8437008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8437403Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8437853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8438406Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8438833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8439232Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8439608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-11-03T16:55:13.8440018Z     mixed_query_layer = self.query(hidden_states)
2025-11-03T16:55:13.8440168Z 
2025-11-03T16:55:13.8440274Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8440660Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8441036Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8441406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8441801Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8442181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8442594Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8442997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8443376Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8443781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-11-03T16:55:13.8444128Z     mixed_key_layer = self.key(hidden_states)
2025-11-03T16:55:13.8444272Z 
2025-11-03T16:55:13.8444376Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8444750Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8445119Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8445470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8445878Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8446338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8446785Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8447235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-11-03T16:55:13.8447625Z     self_output = self.self(input_tensor, attention_mask)
2025-11-03T16:55:13.8448035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-11-03T16:55:13.8448494Z     mixed_value_layer = self.value(hidden_states)
2025-11-03T16:55:13.8448656Z 
2025-11-03T16:55:13.8448753Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8448969Z cudagraph partition due to non gpu ops
2025-11-03T16:55:13.8449198Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8449616Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8450011Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8450393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8450793Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8451224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-11-03T16:55:13.8451639Z     attention_output = self.attention(hidden_states, attention_mask)
2025-11-03T16:55:13.8452099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-11-03T16:55:13.8452510Z     attention_output = self.output(self_output, input_tensor)
2025-11-03T16:55:13.8452917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-11-03T16:55:13.8453265Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8453404Z 
2025-11-03T16:55:13.8453518Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8453884Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8454243Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8454587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8454957Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8455330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8455712Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8456093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-11-03T16:55:13.8456431Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8456571Z 
2025-11-03T16:55:13.8456668Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8457031Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8457443Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8457797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8458188Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8458561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-11-03T16:55:13.8458939Z     intermediate_output = self.intermediate(attention_output)
2025-11-03T16:55:13.8459313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-11-03T16:55:13.8459677Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-11-03T16:55:13.8460046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-11-03T16:55:13.8460409Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-11-03T16:55:13.8460551Z 
2025-11-03T16:55:13.8460661Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8461021Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-11-03T16:55:13.8461365Z     encoded_layers = self.encoder(embedding_output,
2025-11-03T16:55:13.8461721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-11-03T16:55:13.8462094Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-11-03T16:55:13.8462479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-11-03T16:55:13.8462869Z     layer_output = self.output(intermediate_output, attention_output)
2025-11-03T16:55:13.8463250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-11-03T16:55:13.8463598Z     hidden_states = self.dense(hidden_states)
2025-11-03T16:55:13.8463737Z 
2025-11-03T16:55:13.8463836Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8464200Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-11-03T16:55:13.8464575Z     pooled_output = self.pooler(sequence_output)
2025-11-03T16:55:13.8464941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward
2025-11-03T16:55:13.8465300Z     pooled_output = self.dense(first_token_tensor)
2025-11-03T16:55:13.8465450Z 
2025-11-03T16:55:13.8465552Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:13.8465921Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-11-03T16:55:13.8466299Z     pooled_output = self.pooler(sequence_output)
2025-11-03T16:55:13.8466650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward
2025-11-03T16:55:13.8467158Z     pooled_output = self.activation(pooled_output)
2025-11-03T16:55:13.8467300Z 
2025-11-03T16:55:16.2033779Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:16.2034623Z    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
2025-11-03T16:55:16.2035106Z     return self.dropout(outputs)
2025-11-03T16:55:16.2035485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout
2025-11-03T16:55:16.2035859Z     return self.dropout_layer(words)
2025-11-03T16:55:16.2035993Z 
2025-11-03T16:55:17.0873134Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:17.0873951Z    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
2025-11-03T16:55:17.0874808Z     logits = self.qa_outputs(sequence_output)  # [batch_size, seq_len, num_labels]
2025-11-03T16:55:17.0875016Z 
2025-11-03T16:55:17.3354265Z Compilation time (from dynamo_timed): 17.69454391
2025-11-03T16:55:17.3354827Z pass
2025-11-03T16:55:17.3355156Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:17.3355948Z TIMING: gc:0.00405 entire_frame_compile:17.69454 _recursive_pre_grad_passes:0.00836 _recursive_joint_graph_passes:0.48992 _recursive_post_grad_passes:0.05694 async_compile.wait:1.65508 code_gen:10.00705 inductor_compile:11.10517 backend_compile:14.73779 total_wall_time:17.69454
2025-11-03T16:55:17.3356974Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:8872 | ProxyTorchDispatchMode.__torch_dispatch__:2710 | FakeTensor.__torch_dispatch__:4216
2025-11-03T16:55:17.3357484Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique)
2025-11-03T16:55:19.0043242Z /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.
2025-11-03T16:55:19.0044145Z   import pynvml  # type: ignore[import]
2025-11-03T16:55:21.0192372Z 
2025-11-03T16:55:21.3728305Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:55:21.3730247Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:55:21.3734961Z cpu  eval  functorch_dp_cifar10               
2025-11-03T16:55:21.4048840Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:21.4230872Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:21.4391632Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:25.3031499Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3034221Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3034459Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3034697Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3034932Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3035167Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3035744Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3035970Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3036194Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3036414Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3036626Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3036857Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3037075Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3037301Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3037601Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3037824Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3038262Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3038487Z cudagraph partition due to non gpu ops
2025-11-03T16:55:25.3038739Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3039147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3039514Z     return mod(*inputs)
2025-11-03T16:55:25.3039975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3040379Z     return self._forward_impl(x)
2025-11-03T16:55:25.3040741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-11-03T16:55:25.3041123Z     x = self.conv1(x)
2025-11-03T16:55:25.3041241Z 
2025-11-03T16:55:25.3041357Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3041752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3042166Z     return mod(*inputs)
2025-11-03T16:55:25.3042526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3042906Z     return self._forward_impl(x)
2025-11-03T16:55:25.3043292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-11-03T16:55:25.3043674Z     x = self.relu(x)
2025-11-03T16:55:25.3043783Z 
2025-11-03T16:55:25.3043893Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3044282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3044634Z     return mod(*inputs)
2025-11-03T16:55:25.3044978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3045357Z     return self._forward_impl(x)
2025-11-03T16:55:25.3045731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-11-03T16:55:25.3046113Z     x = self.maxpool(x)
2025-11-03T16:55:25.3046222Z 
2025-11-03T16:55:25.3046338Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3046721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3047056Z     return mod(*inputs)
2025-11-03T16:55:25.3047393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3047766Z     return self._forward_impl(x)
2025-11-03T16:55:25.3048192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:55:25.3048575Z     x = self.layer1(x)
2025-11-03T16:55:25.3048909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:55:25.3049251Z     out = self.conv1(x)
2025-11-03T16:55:25.3049354Z 
2025-11-03T16:55:25.3049465Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3049826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3050143Z     return mod(*inputs)
2025-11-03T16:55:25.3050462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3050843Z     return self._forward_impl(x)
2025-11-03T16:55:25.3051198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:55:25.3051558Z     x = self.layer1(x)
2025-11-03T16:55:25.3051869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:55:25.3052235Z     out = self.relu(out)
2025-11-03T16:55:25.3052342Z 
2025-11-03T16:55:25.3052458Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3052823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3053137Z     return mod(*inputs)
2025-11-03T16:55:25.3053454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3053803Z     return self._forward_impl(x)
2025-11-03T16:55:25.3054161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:55:25.3054517Z     x = self.layer1(x)
2025-11-03T16:55:25.3054826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:55:25.3055170Z     out = self.conv2(out)
2025-11-03T16:55:25.3055279Z 
2025-11-03T16:55:25.3055388Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3055751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3056066Z     return mod(*inputs)
2025-11-03T16:55:25.3056406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3056752Z     return self._forward_impl(x)
2025-11-03T16:55:25.3057101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:55:25.3057461Z     x = self.layer1(x)
2025-11-03T16:55:25.3057772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:55:25.3058115Z     out = self.relu(out)
2025-11-03T16:55:25.3058224Z 
2025-11-03T16:55:25.3058338Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3058696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3059010Z     return mod(*inputs)
2025-11-03T16:55:25.3059332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3059682Z     return self._forward_impl(x)
2025-11-03T16:55:25.3060033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:55:25.3060390Z     x = self.layer1(x)
2025-11-03T16:55:25.3060698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:55:25.3061086Z     out = self.conv1(x)
2025-11-03T16:55:25.3061193Z 
2025-11-03T16:55:25.3061295Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3061676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3061997Z     return mod(*inputs)
2025-11-03T16:55:25.3062324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3062685Z     return self._forward_impl(x)
2025-11-03T16:55:25.3063050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:55:25.3063421Z     x = self.layer1(x)
2025-11-03T16:55:25.3063739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:55:25.3064097Z     out = self.relu(out)
2025-11-03T16:55:25.3064234Z 
2025-11-03T16:55:25.3064337Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3064698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3065012Z     return mod(*inputs)
2025-11-03T16:55:25.3065333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3065680Z     return self._forward_impl(x)
2025-11-03T16:55:25.3066049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:55:25.3066405Z     x = self.layer1(x)
2025-11-03T16:55:25.3066714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:55:25.3067321Z     out = self.conv2(out)
2025-11-03T16:55:25.3067441Z 
2025-11-03T16:55:25.3067548Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3067929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3068262Z     return mod(*inputs)
2025-11-03T16:55:25.3068599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3068956Z     return self._forward_impl(x)
2025-11-03T16:55:25.3069311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:55:25.3069672Z     x = self.layer1(x)
2025-11-03T16:55:25.3069985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:55:25.3070489Z     out = self.relu(out)
2025-11-03T16:55:25.3070606Z 
2025-11-03T16:55:25.3070709Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3071089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3071425Z     return mod(*inputs)
2025-11-03T16:55:25.3071765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3072133Z     return self._forward_impl(x)
2025-11-03T16:55:25.3072505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:55:25.3072908Z     x = self.layer2(x)
2025-11-03T16:55:25.3073237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:55:25.3073603Z     out = self.conv1(x)
2025-11-03T16:55:25.3073717Z 
2025-11-03T16:55:25.3073828Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3074212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3074548Z     return mod(*inputs)
2025-11-03T16:55:25.3074889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3075265Z     return self._forward_impl(x)
2025-11-03T16:55:25.3075646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:55:25.3076158Z     x = self.layer2(x)
2025-11-03T16:55:25.3076546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:55:25.3076917Z     out = self.relu(out)
2025-11-03T16:55:25.3077040Z 
2025-11-03T16:55:25.3077151Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3077535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3077872Z     return mod(*inputs)
2025-11-03T16:55:25.3078292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3078663Z     return self._forward_impl(x)
2025-11-03T16:55:25.3079124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:55:25.3079504Z     x = self.layer2(x)
2025-11-03T16:55:25.3079828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:55:25.3080197Z     out = self.conv2(out)
2025-11-03T16:55:25.3080318Z 
2025-11-03T16:55:25.3080427Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3080844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3081213Z     return mod(*inputs)
2025-11-03T16:55:25.3081557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3081933Z     return self._forward_impl(x)
2025-11-03T16:55:25.3082308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:55:25.3082749Z     x = self.layer2(x)
2025-11-03T16:55:25.3083078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-11-03T16:55:25.3083458Z     identity = self.downsample(x)
2025-11-03T16:55:25.3083602Z 
2025-11-03T16:55:25.3083716Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3084100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3084515Z     return mod(*inputs)
2025-11-03T16:55:25.3084849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3085216Z     return self._forward_impl(x)
2025-11-03T16:55:25.3085596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:55:25.3085954Z     x = self.layer2(x)
2025-11-03T16:55:25.3086267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:55:25.3086616Z     out = self.relu(out)
2025-11-03T16:55:25.3086729Z 
2025-11-03T16:55:25.3086833Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3087191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3087515Z     return mod(*inputs)
2025-11-03T16:55:25.3087829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3088180Z     return self._forward_impl(x)
2025-11-03T16:55:25.3088536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:55:25.3088892Z     x = self.layer2(x)
2025-11-03T16:55:25.3089202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:55:25.3089587Z     out = self.conv1(x)
2025-11-03T16:55:25.3089700Z 
2025-11-03T16:55:25.3089803Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3090165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3090490Z     return mod(*inputs)
2025-11-03T16:55:25.3090825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3091176Z     return self._forward_impl(x)
2025-11-03T16:55:25.3091534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:55:25.3091897Z     x = self.layer2(x)
2025-11-03T16:55:25.3092208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:55:25.3092559Z     out = self.relu(out)
2025-11-03T16:55:25.3092672Z 
2025-11-03T16:55:25.3092776Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3093134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3093482Z     return mod(*inputs)
2025-11-03T16:55:25.3093794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3094141Z     return self._forward_impl(x)
2025-11-03T16:55:25.3094494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:55:25.3094866Z     x = self.layer2(x)
2025-11-03T16:55:25.3095172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:55:25.3095518Z     out = self.conv2(out)
2025-11-03T16:55:25.3095636Z 
2025-11-03T16:55:25.3095740Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3096104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3096422Z     return mod(*inputs)
2025-11-03T16:55:25.3096734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3097081Z     return self._forward_impl(x)
2025-11-03T16:55:25.3097432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:55:25.3097865Z     x = self.layer2(x)
2025-11-03T16:55:25.3098176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:55:25.3098521Z     out = self.relu(out)
2025-11-03T16:55:25.3098633Z 
2025-11-03T16:55:25.3098736Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3099113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3099438Z     return mod(*inputs)
2025-11-03T16:55:25.3099753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3100130Z     return self._forward_impl(x)
2025-11-03T16:55:25.3100481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:55:25.3100838Z     x = self.layer3(x)
2025-11-03T16:55:25.3101156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:55:25.3101498Z     out = self.conv1(x)
2025-11-03T16:55:25.3101600Z 
2025-11-03T16:55:25.3101715Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3102064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3102386Z     return mod(*inputs)
2025-11-03T16:55:25.3102710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3103076Z     return self._forward_impl(x)
2025-11-03T16:55:25.3103410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:55:25.3103758Z     x = self.layer3(x)
2025-11-03T16:55:25.3104068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:55:25.3104397Z     out = self.relu(out)
2025-11-03T16:55:25.3104539Z 
2025-11-03T16:55:25.3104648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3104987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3105302Z     return mod(*inputs)
2025-11-03T16:55:25.3105610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3105948Z     return self._forward_impl(x)
2025-11-03T16:55:25.3106280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:55:25.3106627Z     x = self.layer3(x)
2025-11-03T16:55:25.3106949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:55:25.3107280Z     out = self.conv2(out)
2025-11-03T16:55:25.3107387Z 
2025-11-03T16:55:25.3107493Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3107832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3108148Z     return mod(*inputs)
2025-11-03T16:55:25.3108476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3108817Z     return self._forward_impl(x)
2025-11-03T16:55:25.3109152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:55:25.3109501Z     x = self.layer3(x)
2025-11-03T16:55:25.3109807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-11-03T16:55:25.3110152Z     identity = self.downsample(x)
2025-11-03T16:55:25.3110277Z 
2025-11-03T16:55:25.3110385Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3110726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3111040Z     return mod(*inputs)
2025-11-03T16:55:25.3111352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3111689Z     return self._forward_impl(x)
2025-11-03T16:55:25.3112027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:55:25.3112394Z     x = self.layer3(x)
2025-11-03T16:55:25.3112711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:55:25.3113050Z     out = self.relu(out)
2025-11-03T16:55:25.3113152Z 
2025-11-03T16:55:25.3113263Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3113607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3113920Z     return mod(*inputs)
2025-11-03T16:55:25.3114235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3114578Z     return self._forward_impl(x)
2025-11-03T16:55:25.3114923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:55:25.3115288Z     x = self.layer3(x)
2025-11-03T16:55:25.3115600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:55:25.3115936Z     out = self.conv1(x)
2025-11-03T16:55:25.3116034Z 
2025-11-03T16:55:25.3116141Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3116487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3116803Z     return mod(*inputs)
2025-11-03T16:55:25.3117123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3117475Z     return self._forward_impl(x)
2025-11-03T16:55:25.3117969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:55:25.3118361Z     x = self.layer3(x)
2025-11-03T16:55:25.3118702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:55:25.3119077Z     out = self.relu(out)
2025-11-03T16:55:25.3119189Z 
2025-11-03T16:55:25.3119308Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3119682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3120006Z     return mod(*inputs)
2025-11-03T16:55:25.3120350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3120704Z     return self._forward_impl(x)
2025-11-03T16:55:25.3121072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:55:25.3121440Z     x = self.layer3(x)
2025-11-03T16:55:25.3121765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:55:25.3122128Z     out = self.conv2(out)
2025-11-03T16:55:25.3122238Z 
2025-11-03T16:55:25.3122348Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3122704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3123026Z     return mod(*inputs)
2025-11-03T16:55:25.3123344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3123691Z     return self._forward_impl(x)
2025-11-03T16:55:25.3124040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:55:25.3124403Z     x = self.layer3(x)
2025-11-03T16:55:25.3124729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:55:25.3125078Z     out = self.relu(out)
2025-11-03T16:55:25.3125183Z 
2025-11-03T16:55:25.3125294Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3125649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3125971Z     return mod(*inputs)
2025-11-03T16:55:25.3126312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3126662Z     return self._forward_impl(x)
2025-11-03T16:55:25.3127007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:55:25.3127369Z     x = self.layer4(x)
2025-11-03T16:55:25.3127685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:55:25.3128033Z     out = self.conv1(x)
2025-11-03T16:55:25.3128134Z 
2025-11-03T16:55:25.3128248Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3128598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3128921Z     return mod(*inputs)
2025-11-03T16:55:25.3129243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3129592Z     return self._forward_impl(x)
2025-11-03T16:55:25.3129934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:55:25.3130296Z     x = self.layer4(x)
2025-11-03T16:55:25.3130615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:55:25.3130958Z     out = self.relu(out)
2025-11-03T16:55:25.3131062Z 
2025-11-03T16:55:25.3131172Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3131560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3131888Z     return mod(*inputs)
2025-11-03T16:55:25.3132211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3132565Z     return self._forward_impl(x)
2025-11-03T16:55:25.3132913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:55:25.3133270Z     x = self.layer4(x)
2025-11-03T16:55:25.3133593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:55:25.3134708Z     out = self.conv2(out)
2025-11-03T16:55:25.3134816Z 
2025-11-03T16:55:25.3134924Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3135273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3135588Z     return mod(*inputs)
2025-11-03T16:55:25.3135905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3136245Z     return self._forward_impl(x)
2025-11-03T16:55:25.3136621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:55:25.3136982Z     x = self.layer4(x)
2025-11-03T16:55:25.3137304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-11-03T16:55:25.3137665Z     identity = self.downsample(x)
2025-11-03T16:55:25.3137791Z 
2025-11-03T16:55:25.3137902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3138259Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3138585Z     return mod(*inputs)
2025-11-03T16:55:25.3138907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3139266Z     return self._forward_impl(x)
2025-11-03T16:55:25.3139616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:55:25.3139978Z     x = self.layer4(x)
2025-11-03T16:55:25.3140319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-11-03T16:55:25.3140670Z     out = self.relu(out)
2025-11-03T16:55:25.3140776Z 
2025-11-03T16:55:25.3140885Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3141243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3141570Z     return mod(*inputs)
2025-11-03T16:55:25.3141899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3142244Z     return self._forward_impl(x)
2025-11-03T16:55:25.3142584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:55:25.3142944Z     x = self.layer4(x)
2025-11-03T16:55:25.3143263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-11-03T16:55:25.3143625Z     out = self.conv1(x)
2025-11-03T16:55:25.3143724Z 
2025-11-03T16:55:25.3143833Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3144176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3144493Z     return mod(*inputs)
2025-11-03T16:55:25.3144807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3145151Z     return self._forward_impl(x)
2025-11-03T16:55:25.3145492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:55:25.3145846Z     x = self.layer4(x)
2025-11-03T16:55:25.3146182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-11-03T16:55:25.3146521Z     out = self.relu(out)
2025-11-03T16:55:25.3146625Z 
2025-11-03T16:55:25.3146733Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3147079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3147394Z     return mod(*inputs)
2025-11-03T16:55:25.3147707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3148052Z     return self._forward_impl(x)
2025-11-03T16:55:25.3148411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:55:25.3148761Z     x = self.layer4(x)
2025-11-03T16:55:25.3149068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-11-03T16:55:25.3149404Z     out = self.conv2(out)
2025-11-03T16:55:25.3149511Z 
2025-11-03T16:55:25.3149618Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3149977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3150288Z     return mod(*inputs)
2025-11-03T16:55:25.3150599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3150936Z     return self._forward_impl(x)
2025-11-03T16:55:25.3151272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-11-03T16:55:25.3151623Z     x = self.avgpool(x)
2025-11-03T16:55:25.3151733Z 
2025-11-03T16:55:25.3151833Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:25.3152182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:25.3152493Z     return mod(*inputs)
2025-11-03T16:55:25.3152797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:55:25.3153136Z     return self._forward_impl(x)
2025-11-03T16:55:25.3153478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl
2025-11-03T16:55:25.3153843Z     x = self.fc(x)
2025-11-03T16:55:25.3153938Z 
2025-11-03T16:55:35.3426782Z Compilation time (from dynamo_timed): 13.477937953
2025-11-03T16:55:35.3427090Z pass
2025-11-03T16:55:35.3427418Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:35.3428317Z TIMING: _recursive_pre_grad_passes:0.00396 _recursive_joint_graph_passes:0.17793 _recursive_post_grad_passes:0.03781 async_compile.wait:0.77578 code_gen:10.38698 inductor_compile:11.10418 backend_compile:12.48226 gc:0.00045 entire_frame_compile:13.47794 total_wall_time:13.47794
2025-11-03T16:55:35.3429293Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:2446 | FakeTensor.__torch_dispatch__:2307 | ProxyTorchDispatchMode.__torch_dispatch__:724
2025-11-03T16:55:35.3429809Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-11-03T16:55:36.9357970Z /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.
2025-11-03T16:55:36.9358882Z   import pynvml  # type: ignore[import]
2025-11-03T16:55:38.9881126Z 
2025-11-03T16:55:39.1814421Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:55:39.1819790Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:55:39.1820262Z cpu  eval  functorch_maml_omniglot            
2025-11-03T16:55:39.1853281Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:39.1897593Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:39.1927017Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:41.1792493Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:41.1793293Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:41.1798367Z     return mod(*inputs)
2025-11-03T16:55:41.1802384Z 
2025-11-03T16:55:41.1804682Z cudagraph partition due to non gpu ops
2025-11-03T16:55:41.1805025Z cudagraph partition due to non gpu ops
2025-11-03T16:55:41.1809647Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:41.1814806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:41.1816797Z     return mod(*inputs)
2025-11-03T16:55:41.1821866Z 
2025-11-03T16:55:41.1824472Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:41.1824956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:41.1829851Z     return mod(*inputs)
2025-11-03T16:55:41.1831151Z 
2025-11-03T16:55:41.1831292Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:41.1831701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:41.1832015Z     return mod(*inputs)
2025-11-03T16:55:41.1832145Z 
2025-11-03T16:55:41.1832246Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:41.1832587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:41.1832896Z     return mod(*inputs)
2025-11-03T16:55:41.1832992Z 
2025-11-03T16:55:41.1833095Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:41.1833420Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:41.1833725Z     return mod(*inputs)
2025-11-03T16:55:41.1833829Z 
2025-11-03T16:55:41.1833924Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:41.1834263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:41.1834559Z     return mod(*inputs)
2025-11-03T16:55:41.1834662Z 
2025-11-03T16:55:41.1835197Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:41.1835535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:41.1835841Z     return mod(*inputs)
2025-11-03T16:55:41.1835934Z 
2025-11-03T16:55:41.1836039Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:41.1836362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:41.1836668Z     return mod(*inputs)
2025-11-03T16:55:41.1836769Z 
2025-11-03T16:55:41.1836863Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:41.1837201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:41.1837495Z     return mod(*inputs)
2025-11-03T16:55:41.1837607Z 
2025-11-03T16:55:49.4068154Z Compilation time (from dynamo_timed): 9.810556495
2025-11-03T16:55:49.4071786Z pass
2025-11-03T16:55:49.4072205Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:49.4073105Z TIMING: _recursive_pre_grad_passes:0.0033 _recursive_joint_graph_passes:0.31217 _recursive_post_grad_passes:0.01652 async_compile.wait:0.7042 code_gen:8.22263 inductor_compile:8.36302 backend_compile:9.47879 gc:0.00026 entire_frame_compile:9.81056 total_wall_time:9.81056
2025-11-03T16:55:49.4074225Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:296 | FakeTensorMode.__torch_dispatch__:927 | ProxyTorchDispatchMode.__torch_dispatch__:155
2025-11-03T16:55:49.4074764Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-11-03T16:55:50.6889591Z /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.
2025-11-03T16:55:50.6890537Z   import pynvml  # type: ignore[import]
2025-11-03T16:55:52.7125866Z 
2025-11-03T16:55:52.8794793Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:55:52.8795423Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:55:52.8795680Z cpu  eval  lennard_jones                      
2025-11-03T16:55:52.8797730Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:52.8820295Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:52.8828003Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:55:54.4286857Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:54.4288219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:54.4288978Z     return mod(*inputs)
2025-11-03T16:55:54.4293160Z 
2025-11-03T16:55:54.4298218Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:54.4298781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:54.4299684Z     return mod(*inputs)
2025-11-03T16:55:54.4302707Z 
2025-11-03T16:55:54.4307869Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:54.4309816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:54.4310266Z     return mod(*inputs)
2025-11-03T16:55:54.4313837Z 
2025-11-03T16:55:54.4318980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:54.4323409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:54.4325358Z     return mod(*inputs)
2025-11-03T16:55:54.4330438Z 
2025-11-03T16:55:54.4330774Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:54.4331179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:54.4331506Z     return mod(*inputs)
2025-11-03T16:55:54.4331794Z 
2025-11-03T16:55:54.4331901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:54.4332261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:54.4332575Z     return mod(*inputs)
2025-11-03T16:55:54.4332682Z 
2025-11-03T16:55:54.4332791Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:54.4333142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:54.4333446Z     return mod(*inputs)
2025-11-03T16:55:54.4333551Z 
2025-11-03T16:55:54.4333653Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:54.4333996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:54.4334306Z     return mod(*inputs)
2025-11-03T16:55:54.4334401Z 
2025-11-03T16:55:54.4334511Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:55:54.4334845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:55:54.4335151Z     return mod(*inputs)
2025-11-03T16:55:54.4335252Z 
2025-11-03T16:56:01.8416939Z Compilation time (from dynamo_timed): 8.563689827
2025-11-03T16:56:01.8417456Z pass
2025-11-03T16:56:01.8422971Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:56:01.8428100Z TIMING: _recursive_pre_grad_passes:0.00309 _recursive_joint_graph_passes:0.27941 _recursive_post_grad_passes:0.01379 async_compile.wait:0.52378 code_gen:7.35877 inductor_compile:7.41765 backend_compile:8.36131 gc:0.00071 entire_frame_compile:8.56369 total_wall_time:8.56369
2025-11-03T16:56:01.8429591Z STATS: call_* op count: 9 | FakeTensor.__torch_dispatch__:102 | FakeTensorMode.__torch_dispatch__:597 | ProxyTorchDispatchMode.__torch_dispatch__:91
2025-11-03T16:56:01.8430144Z Dynamo produced 1 graphs covering 9 ops with 0 graph breaks (0 unique)
2025-11-03T16:56:02.9851398Z accuracy            pass_rate=93.55%
2025-11-03T16:56:02.9853810Z calls_captured      gmean=0.00x mean=407.677x
2025-11-03T16:56:02.9854059Z unique_graphs       gmean=0.00x mean=21.968x
2025-11-03T16:56:02.9854285Z graph_breaks        gmean=0.00x mean=17.323x
2025-11-03T16:56:02.9854799Z unique_graph_breaks gmean=0.00x mean=2.516x
2025-11-03T16:56:02.9855018Z autograd_captures   gmean=0.00x mean=0.000x
2025-11-03T16:56:02.9857559Z autograd_compiles   gmean=0.00x mean=0.000x
2025-11-03T16:56:02.9862926Z cudagraph_skips     gmean=0.00x mean=15.097x
2025-11-03T16:56:02.9863143Z compilation_latency mean=27.871 seconds
2025-11-03T16:56:03.5559744Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/cpu_inductor_torchbench_inference.csv
2025-11-03T16:56:03.8408373Z BERT_pytorch                        PASS
2025-11-03T16:56:03.8413032Z Background_Matting                  XFAIL
2025-11-03T16:56:03.8417458Z LearningToPaint                     PASS
2025-11-03T16:56:03.8421296Z Super_SloMo                         PASS
2025-11-03T16:56:03.8424897Z alexnet                             PASS
2025-11-03T16:56:03.8429141Z basic_gnn_edgecnn                   PASS
2025-11-03T16:56:03.8429396Z basic_gnn_gcn                       PASS
2025-11-03T16:56:03.8429600Z basic_gnn_gin                       PASS
2025-11-03T16:56:03.8429793Z basic_gnn_sage                      PASS
2025-11-03T16:56:03.8430358Z dcgan                               PASS
2025-11-03T16:56:03.8431049Z demucs                              PASS
2025-11-03T16:56:03.8436486Z densenet121                         PASS
2025-11-03T16:56:03.8444875Z detectron2_fasterrcnn_r_101_c4      PASS
2025-11-03T16:56:03.8447040Z detectron2_fasterrcnn_r_101_dc5     PASS
2025-11-03T16:56:03.8447405Z detectron2_fasterrcnn_r_101_fpn     PASS
2025-11-03T16:56:03.8452044Z detectron2_fasterrcnn_r_50_c4       PASS
2025-11-03T16:56:03.8454199Z detectron2_fasterrcnn_r_50_dc5      PASS
2025-11-03T16:56:03.8454582Z detectron2_fasterrcnn_r_50_fpn      PASS
2025-11-03T16:56:03.8457569Z detectron2_fcos_r_50_fpn            PASS
2025-11-03T16:56:03.8461762Z detectron2_maskrcnn_r_101_c4        XFAIL
2025-11-03T16:56:03.8462108Z detectron2_maskrcnn_r_101_fpn       PASS
2025-11-03T16:56:03.8466743Z detectron2_maskrcnn_r_50_c4         PASS
2025-11-03T16:56:03.8472448Z detectron2_maskrcnn_r_50_fpn        PASS
2025-11-03T16:56:03.8472726Z dlrm                                PASS
2025-11-03T16:56:03.8476129Z doctr_det_predictor                 PASS
2025-11-03T16:56:03.8476556Z doctr_reco_predictor                PASS
2025-11-03T16:56:03.8478365Z drq                                 PASS
2025-11-03T16:56:03.8487946Z fastNLP_Bert                        PASS
2025-11-03T16:56:03.8488209Z functorch_dp_cifar10                PASS
2025-11-03T16:56:03.8489662Z functorch_maml_omniglot             PASS
2025-11-03T16:56:03.8497592Z lennard_jones                       PASS
2025-11-03T16:56:03.8962740Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/cpu_inductor_torchbench_inference.csv
2025-11-03T16:56:04.1757246Z BERT_pytorch                        PASS
2025-11-03T16:56:04.1757844Z Background_Matting                  PASS
2025-11-03T16:56:04.1758740Z LearningToPaint                     PASS
2025-11-03T16:56:04.1763869Z Super_SloMo                         PASS
2025-11-03T16:56:04.1769653Z alexnet                             PASS
2025-11-03T16:56:04.1771911Z basic_gnn_edgecnn                   PASS
2025-11-03T16:56:04.1776970Z basic_gnn_gcn                       PASS
2025-11-03T16:56:04.1777384Z basic_gnn_gin                       PASS
2025-11-03T16:56:04.1777699Z basic_gnn_sage                      PASS
2025-11-03T16:56:04.1781394Z dcgan                               PASS
2025-11-03T16:56:04.1781782Z demucs                              PASS
2025-11-03T16:56:04.1788497Z densenet121                         PASS
2025-11-03T16:56:04.1788910Z detectron2_fasterrcnn_r_101_c4      PASS
2025-11-03T16:56:04.1793707Z detectron2_fasterrcnn_r_101_dc5     PASS
2025-11-03T16:56:04.1794098Z detectron2_fasterrcnn_r_101_fpn     PASS
2025-11-03T16:56:04.1798493Z detectron2_fasterrcnn_r_50_c4       PASS
2025-11-03T16:56:04.1798943Z detectron2_fasterrcnn_r_50_dc5      PASS
2025-11-03T16:56:04.1807853Z detectron2_fasterrcnn_r_50_fpn      PASS
2025-11-03T16:56:04.1812095Z detectron2_fcos_r_50_fpn            PASS_BUT_FLAKY
2025-11-03T16:56:04.1815995Z detectron2_maskrcnn_r_101_c4        PASS_BUT_FLAKY
2025-11-03T16:56:04.1820144Z detectron2_maskrcnn_r_101_fpn       PASS
2025-11-03T16:56:04.1823104Z detectron2_maskrcnn_r_50_c4         PASS
2025-11-03T16:56:04.1828860Z detectron2_maskrcnn_r_50_fpn        PASS
2025-11-03T16:56:04.1829291Z dlrm                                PASS
2025-11-03T16:56:04.1829485Z doctr_det_predictor                 PASS
2025-11-03T16:56:04.1829685Z doctr_reco_predictor                PASS
2025-11-03T16:56:04.1840445Z drq                                 PASS
2025-11-03T16:56:04.1846087Z fastNLP_Bert                        PASS
2025-11-03T16:56:04.1848123Z functorch_dp_cifar10                PASS
2025-11-03T16:56:04.1848463Z functorch_maml_omniglot             PASS
2025-11-03T16:56:04.1853042Z lennard_jones                       PASS
2025-11-03T16:56:04.2343946Z + sccache_epilogue
2025-11-03T16:56:04.2346101Z + echo '::group::Sccache Compilation Log'
2025-11-03T16:56:04.2346878Z ##[group]Sccache Compilation Log
2025-11-03T16:56:04.2350869Z + echo '=================== sccache compilation log ==================='
2025-11-03T16:56:04.2351387Z =================== sccache compilation log ===================
2025-11-03T16:56:04.2351924Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-11-03T16:56:04.2536744Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-11-03T16:56:04.2542310Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-11-03T16:56:04.2543010Z + sccache --show-stats
2025-11-03T16:56:04.2571752Z Compile requests                    603
2025-11-03T16:56:04.2575922Z Compile requests executed             0
2025-11-03T16:56:04.2580015Z Cache hits                            0
2025-11-03T16:56:04.2581706Z Cache misses                          0
2025-11-03T16:56:04.2581941Z Cache hits rate                       -
2025-11-03T16:56:04.2582126Z Cache timeouts                        0
2025-11-03T16:56:04.2582315Z Cache read errors                     0
2025-11-03T16:56:04.2582520Z Forced recaches                       0
2025-11-03T16:56:04.2582708Z Cache write errors                    0
2025-11-03T16:56:04.2582901Z Cache errors                          0
2025-11-03T16:56:04.2583078Z Compilations                          0
2025-11-03T16:56:04.2583267Z Compilation failures                  0
2025-11-03T16:56:04.2583470Z Non-cacheable compilations            0
2025-11-03T16:56:04.2583663Z Non-cacheable calls                  30
2025-11-03T16:56:04.2583846Z Non-compilation calls               573
2025-11-03T16:56:04.2584037Z Unsupported compiler calls            0
2025-11-03T16:56:04.2584229Z Average cache write               0.000 s
2025-11-03T16:56:04.2584433Z Average compiler                  0.000 s
2025-11-03T16:56:04.2584621Z Average cache read hit            0.000 s
2025-11-03T16:56:04.2584819Z Failed distributed compilations       0
2025-11-03T16:56:04.2584943Z 
2025-11-03T16:56:04.2585018Z Non-cacheable reasons:
2025-11-03T16:56:04.2585351Z -E                                   30
2025-11-03T16:56:04.2585483Z 
2025-11-03T16:56:04.2585635Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-11-03T16:56:04.2585913Z Version (client)                0.10.0
2025-11-03T16:56:04.2586115Z + sccache --stop-server
2025-11-03T16:56:04.2595371Z Stopping sccache server...
2025-11-03T16:56:04.2597141Z Compile requests                    603
2025-11-03T16:56:04.2597461Z Compile requests executed             0
2025-11-03T16:56:04.2597715Z Cache hits                            0
2025-11-03T16:56:04.2598031Z Cache misses                          0
2025-11-03T16:56:04.2598266Z Cache hits rate                       -
2025-11-03T16:56:04.2598681Z Cache timeouts                        0
2025-11-03T16:56:04.2598935Z Cache read errors                     0
2025-11-03T16:56:04.2599186Z Forced recaches                       0
2025-11-03T16:56:04.2599419Z Cache write errors                    0
2025-11-03T16:56:04.2599617Z Cache errors                          0
2025-11-03T16:56:04.2599812Z Compilations                          0
2025-11-03T16:56:04.2600003Z Compilation failures                  0
2025-11-03T16:56:04.2600295Z Non-cacheable compilations            0
2025-11-03T16:56:04.2600487Z Non-cacheable calls                  30
2025-11-03T16:56:04.2600675Z Non-compilation calls               573
2025-11-03T16:56:04.2600862Z Unsupported compiler calls            0
2025-11-03T16:56:04.2601060Z Average cache write               0.000 s
2025-11-03T16:56:04.2601263Z Average compiler                  0.000 s
2025-11-03T16:56:04.2601463Z Average cache read hit            0.000 s
2025-11-03T16:56:04.2601658Z Failed distributed compilations       0
2025-11-03T16:56:04.2601792Z 
2025-11-03T16:56:04.2601862Z Non-cacheable reasons:
2025-11-03T16:56:04.2602040Z -E                                   30
2025-11-03T16:56:04.2602156Z 
2025-11-03T16:56:04.2602313Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-11-03T16:56:04.2602586Z Version (client)                0.10.0
2025-11-03T16:56:04.2610226Z + echo ::endgroup::
2025-11-03T16:56:04.2612657Z ##[endgroup]
2025-11-03T16:56:04.2612939Z + cleanup_workspace
2025-11-03T16:56:04.2618745Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-11-03T16:56:04.2621876Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-11-03T16:56:04.2624223Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-11-03T16:56:04.2624695Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-11-03T16:56:04.2625168Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-11-03T16:56:04.2625976Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-11-03T16:56:04.2626311Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-11-03T16:56:04.6808288Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-11-03T16:56:04.6808566Z with:
2025-11-03T16:56:04.6808739Z   benchmark-results-dir: test/test-reports
2025-11-03T16:56:04.6808939Z   dry-run: false
2025-11-03T16:56:04.6809106Z   schema-version: v3
2025-11-03T16:56:04.6809443Z   github-token: ***
2025-11-03T16:56:04.6809586Z env:
2025-11-03T16:56:04.6809733Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:04.6810005Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:04.6810286Z ##[endgroup]
2025-11-03T16:56:04.6834504Z ##[group]Run set -eux
2025-11-03T16:56:04.6834707Z set -eux
2025-11-03T16:56:04.6834850Z 
2025-11-03T16:56:04.6835011Z if [[ -n "" ]]; then
2025-11-03T16:56:04.6835187Z   source ""
2025-11-03T16:56:04.6835339Z fi
2025-11-03T16:56:04.6835554Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-11-03T16:56:04.6835837Z 
2025-11-03T16:56:04.6835978Z DEVICE_NAME=""
2025-11-03T16:56:04.6836137Z DEVICE_TYPE=""
2025-11-03T16:56:04.6836293Z 
2025-11-03T16:56:04.6836445Z if command -v nvidia-smi; then
2025-11-03T16:56:04.6836715Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-11-03T16:56:04.6837031Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-11-03T16:56:04.6837335Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-11-03T16:56:04.6837588Z   python3 -mpip install torch==2.7.1
2025-11-03T16:56:04.6837828Z elif command -v rocminfo; then
2025-11-03T16:56:04.6838370Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-11-03T16:56:04.6838776Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-11-03T16:56:04.6839151Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-11-03T16:56:04.6839435Z   # GPU device name coming from rocminfo instead
2025-11-03T16:56:04.6839653Z   DEVICE_NAME=rocm
2025-11-03T16:56:04.6839930Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-11-03T16:56:04.6840263Z fi
2025-11-03T16:56:04.6840403Z 
2025-11-03T16:56:04.6840578Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-11-03T16:56:04.6840817Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-11-03T16:56:04.6848897Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:04.6849130Z env:
2025-11-03T16:56:04.6849283Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:04.6849560Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:04.6849838Z ##[endgroup]
2025-11-03T16:56:04.6874629Z + [[ -n '' ]]
2025-11-03T16:56:04.6874926Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-11-03T16:56:04.8560315Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:56:05.5532581Z Collecting boto3==1.35.33
2025-11-03T16:56:05.5671897Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-11-03T16:56:05.7899039Z Collecting psutil==7.0.0
2025-11-03T16:56:05.7935011Z   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)
2025-11-03T16:56:05.8180931Z Collecting pynvml==12.0.0
2025-11-03T16:56:05.8214971Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-11-03T16:56:05.8589103Z Collecting s3transfer<0.11.0,>=0.10.0
2025-11-03T16:56:05.8624387Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-11-03T16:56:06.6533288Z Collecting botocore<1.36.0,>=1.35.33
2025-11-03T16:56:06.6560364Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-11-03T16:56:06.7399910Z 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)
2025-11-03T16:56:06.7719012Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-11-03T16:56:06.7752097Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-11-03T16:56:06.7829670Z 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)
2025-11-03T16:56:06.7830525Z 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)
2025-11-03T16:56:06.9469104Z 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)
2025-11-03T16:56:07.0465874Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-11-03T16:56:07.3771213Z   Attempting uninstall: nvidia-ml-py
2025-11-03T16:56:07.3772727Z     Found existing installation: nvidia-ml-py 11.525.84
2025-11-03T16:56:07.3782734Z     Uninstalling nvidia-ml-py-11.525.84:
2025-11-03T16:56:07.3903103Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-11-03T16:56:07.4371696Z   Attempting uninstall: psutil
2025-11-03T16:56:07.4373404Z     Found existing installation: psutil 5.9.8
2025-11-03T16:56:07.4414996Z     Uninstalling psutil-5.9.8:
2025-11-03T16:56:07.4417142Z       Successfully uninstalled psutil-5.9.8
2025-11-03T16:56:07.5692686Z 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
2025-11-03T16:56:07.6817095Z + DEVICE_NAME=
2025-11-03T16:56:07.6818861Z + DEVICE_TYPE=
2025-11-03T16:56:07.6819172Z + command -v nvidia-smi
2025-11-03T16:56:07.6821870Z + command -v rocminfo
2025-11-03T16:56:07.6822057Z + echo DEVICE_NAME=
2025-11-03T16:56:07.6822310Z + echo DEVICE_TYPE=
2025-11-03T16:56:07.6849195Z ##[group]Run set -eux
2025-11-03T16:56:07.6849428Z set -eux
2025-11-03T16:56:07.6849609Z 
2025-11-03T16:56:07.6849770Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-11-03T16:56:07.6849996Z   echo "Missing github-token input"
2025-11-03T16:56:07.6850193Z   exit 1
2025-11-03T16:56:07.6850343Z fi
2025-11-03T16:56:07.6857316Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:07.6857554Z env:
2025-11-03T16:56:07.6857712Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:07.6857994Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:07.6858274Z   DEVICE_NAME: 
2025-11-03T16:56:07.6858426Z   DEVICE_TYPE: 
2025-11-03T16:56:07.6858776Z   GITHUB_TOKEN: ***
2025-11-03T16:56:07.6858935Z ##[endgroup]
2025-11-03T16:56:07.6881437Z + [[ -z *** ]]
2025-11-03T16:56:07.6921837Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-11-03T16:56:07.6922096Z with:
2025-11-03T16:56:07.6922373Z   github-token: ***
2025-11-03T16:56:07.6922528Z env:
2025-11-03T16:56:07.6922687Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:07.6922955Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:07.6923238Z   DEVICE_NAME: 
2025-11-03T16:56:07.6923390Z   DEVICE_TYPE: 
2025-11-03T16:56:07.6923546Z ##[endgroup]
2025-11-03T16:56:07.6944899Z ##[group]Run set -eux
2025-11-03T16:56:07.6945085Z set -eux
2025-11-03T16:56:07.6945238Z 
2025-11-03T16:56:07.6945529Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-11-03T16:56:07.6949510Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:07.6949740Z env:
2025-11-03T16:56:07.6949884Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:07.6950168Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:07.6950443Z   DEVICE_NAME: 
2025-11-03T16:56:07.6950594Z   DEVICE_TYPE: 
2025-11-03T16:56:07.6950862Z   GITHUB_TOKEN: ***
2025-11-03T16:56:07.6951144Z ##[endgroup]
2025-11-03T16:56:07.6975121Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19040285537 i-07f16d2690eac221b
2025-11-03T16:56:08.8578165Z setting job-id=54378387661
2025-11-03T16:56:08.8580428Z setting job-name=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:56:08.8692525Z ##[group]Run set -eux
2025-11-03T16:56:08.8692724Z set -eux
2025-11-03T16:56:08.8692875Z 
2025-11-03T16:56:08.8693021Z if [[ -n "" ]]; then
2025-11-03T16:56:08.8693196Z   source ""
2025-11-03T16:56:08.8693341Z fi
2025-11-03T16:56:08.8693481Z 
2025-11-03T16:56:08.8693734Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-11-03T16:56:08.8694034Z   --schema-version "${SCHEMA_VERSION}" \
2025-11-03T16:56:08.8694237Z   --repo "${REPO}" \
2025-11-03T16:56:08.8694446Z   --head-branch "${HEAD_BRANCH}" \
2025-11-03T16:56:08.8694656Z   --head-sha "${HEAD_SHA}" \
2025-11-03T16:56:08.8694864Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-11-03T16:56:08.8695070Z   --run-attempt "${RUN_ATTEMPT}" \
2025-11-03T16:56:08.8695275Z   --job-id "${JOB_ID}" \
2025-11-03T16:56:08.8695463Z   --job-name "${JOB_NAME}"
2025-11-03T16:56:08.8699974Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:08.8700203Z env:
2025-11-03T16:56:08.8700347Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:08.8700621Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:08.8700904Z   DEVICE_NAME: 
2025-11-03T16:56:08.8701123Z   DEVICE_TYPE: 
2025-11-03T16:56:08.8701264Z   SCHEMA_VERSION: v3
2025-11-03T16:56:08.8701428Z   REPO: pytorch/pytorch
2025-11-03T16:56:08.8701602Z   HEAD_BRANCH: refs/heads/main
2025-11-03T16:56:08.8701813Z   HEAD_SHA: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:56:08.8702022Z   WORKFLOW_RUN_ID: 19040285537
2025-11-03T16:56:08.8702195Z   RUN_ATTEMPT: 1
2025-11-03T16:56:08.8702346Z   JOB_ID: 54378387661
2025-11-03T16:56:08.8702600Z   JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:56:08.8702924Z ##[endgroup]
2025-11-03T16:56:08.8729477Z + [[ -n '' ]]
2025-11-03T16:56:08.8730639Z + 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 54378387661 --job-name 'inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)'
2025-11-03T16:56:08.9006478Z ##[group]Run set -eux
2025-11-03T16:56:08.9006673Z set -eux
2025-11-03T16:56:08.9006816Z 
2025-11-03T16:56:08.9006988Z if [[ -n "" ]]; then
2025-11-03T16:56:08.9007162Z   source ""
2025-11-03T16:56:08.9007314Z fi
2025-11-03T16:56:08.9007445Z 
2025-11-03T16:56:08.9007687Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-11-03T16:56:08.9012245Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:08.9012476Z env:
2025-11-03T16:56:08.9012620Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:08.9012902Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:08.9013187Z   DEVICE_NAME: 
2025-11-03T16:56:08.9013340Z   DEVICE_TYPE: 
2025-11-03T16:56:08.9013480Z ##[endgroup]
2025-11-03T16:56:08.9035996Z + [[ -n '' ]]
2025-11-03T16:56:08.9038895Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-11-03T16:56:08.9343223Z INFO:root:Fail to import torch to get the device name
2025-11-03T16:56:08.9448895Z ##[group]Run set -eux
2025-11-03T16:56:08.9449087Z set -eux
2025-11-03T16:56:08.9449239Z 
2025-11-03T16:56:08.9449404Z # TODO (huydhn): Implement this part
2025-11-03T16:56:08.9449650Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:56:08.9454078Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:08.9454305Z env:
2025-11-03T16:56:08.9454446Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:08.9454720Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:08.9455003Z   DEVICE_NAME: 
2025-11-03T16:56:08.9455153Z   DEVICE_TYPE: 
2025-11-03T16:56:08.9455299Z ##[endgroup]
2025-11-03T16:56:08.9476438Z + echo 'dependencies={}'
2025-11-03T16:56:08.9509262Z ##[group]Run set -eux
2025-11-03T16:56:08.9509458Z set -eux
2025-11-03T16:56:08.9509614Z 
2025-11-03T16:56:08.9509755Z if [[ -n "" ]]; then
2025-11-03T16:56:08.9509946Z   source ""
2025-11-03T16:56:08.9510101Z fi
2025-11-03T16:56:08.9510240Z 
2025-11-03T16:56:08.9510407Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-11-03T16:56:08.9510675Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-11-03T16:56:08.9510970Z   # We don't want the job to fail if the directory doesn't exist
2025-11-03T16:56:08.9511201Z   exit 0
2025-11-03T16:56:08.9511341Z fi
2025-11-03T16:56:08.9511477Z 
2025-11-03T16:56:08.9511634Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-11-03T16:56:08.9511918Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-11-03T16:56:08.9512240Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-11-03T16:56:08.9512551Z     --metadata "${BENCHMARK_METADATA}" \
2025-11-03T16:56:08.9512762Z     --runners "${RUNNER_INFO}" \
2025-11-03T16:56:08.9512980Z     --dependencies "${DEPENDENCIES}" \
2025-11-03T16:56:08.9513181Z     --dry-run
2025-11-03T16:56:08.9513335Z else
2025-11-03T16:56:08.9513568Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-11-03T16:56:08.9513928Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-11-03T16:56:08.9514168Z     --metadata "${BENCHMARK_METADATA}" \
2025-11-03T16:56:08.9514366Z     --runners "${RUNNER_INFO}" \
2025-11-03T16:56:08.9514574Z     --dependencies "${DEPENDENCIES}"
2025-11-03T16:56:08.9514761Z fi
2025-11-03T16:56:08.9518727Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:08.9519034Z env:
2025-11-03T16:56:08.9519187Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:08.9519481Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:08.9519785Z   DEVICE_NAME: 
2025-11-03T16:56:08.9519937Z   DEVICE_TYPE: 
2025-11-03T16:56:08.9520108Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-11-03T16:56:08.9520310Z   DRY_RUN: false
2025-11-03T16:56:08.9521038Z   BENCHMARK_METADATA: {"timestamp": 1762188968, "schema_version": "v3", "name": "inductor-cpu-test / test (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": 54378387661}
2025-11-03T16:56:08.9521953Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-77-235.ec2.internal"}, "name": "", "type": ""}]
2025-11-03T16:56:08.9522315Z   DEPENDENCIES: {}
2025-11-03T16:56:08.9522477Z ##[endgroup]
2025-11-03T16:56:08.9544320Z + [[ -n '' ]]
2025-11-03T16:56:08.9546520Z + [[ ! -d test/test-reports ]]
2025-11-03T16:56:08.9546891Z + [[ false == \t\r\u\e ]]
2025-11-03T16:56:08.9553077Z + 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": 1762188968, "schema_version": "v3", "name": "inductor-cpu-test / test (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": 54378387661}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-77-235.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-11-03T16:56:09.0649455Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387661/inference_torchbench.json
2025-11-03T16:56:09.0907858Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-11-03T16:56:09.3389746Z ##[group]Run cat test/**/*_toprint.log || true
2025-11-03T16:56:09.3390015Z cat test/**/*_toprint.log || true
2025-11-03T16:56:09.3394564Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:09.3394800Z env:
2025-11-03T16:56:09.3394947Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:09.3395239Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:09.3395520Z   DEVICE_NAME: 
2025-11-03T16:56:09.3395673Z   DEVICE_TYPE: 
2025-11-03T16:56:09.3395818Z ##[endgroup]
2025-11-03T16:56:09.3468151Z cat: 'test/**/*_toprint.log': No such file or directory
2025-11-03T16:56:09.3506862Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-11-03T16:56:09.3507100Z kill "$MONITOR_SCRIPT_PID"
2025-11-03T16:56:09.3511211Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:09.3511523Z env:
2025-11-03T16:56:09.3511671Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:09.3511950Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:09.3512227Z   DEVICE_NAME: 
2025-11-03T16:56:09.3512379Z   DEVICE_TYPE: 
2025-11-03T16:56:09.3512535Z   MONITOR_SCRIPT_PID: 48151
2025-11-03T16:56:09.3512709Z ##[endgroup]
2025-11-03T16:56:09.3602855Z Prepare all required actions
2025-11-03T16:56:09.3603346Z Getting action download info
2025-11-03T16:56:09.5311350Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-11-03T16:56:09.7728941Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-11-03T16:56:10.2036416Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-11-03T16:56:10.2036650Z with:
2025-11-03T16:56:10.2036889Z   file-suffix: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661
2025-11-03T16:56:10.2037171Z   s3-bucket: gha-artifacts
2025-11-03T16:56:10.2037345Z env:
2025-11-03T16:56:10.2037491Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:10.2037797Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:10.2038292Z   DEVICE_NAME: 
2025-11-03T16:56:10.2038472Z   DEVICE_TYPE: 
2025-11-03T16:56:10.2038644Z ##[endgroup]
2025-11-03T16:56:10.2059889Z ##[group]Run # Remove any previous test jsons if they exist
2025-11-03T16:56:10.2060203Z # Remove any previous test jsons if they exist
2025-11-03T16:56:10.2060434Z rm -f test-jsons-*.zip
2025-11-03T16:56:10.2060715Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-11-03T16:56:10.2065198Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:10.2065429Z env:
2025-11-03T16:56:10.2065577Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:10.2065865Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:10.2066165Z   DEVICE_NAME: 
2025-11-03T16:56:10.2066319Z   DEVICE_TYPE: 
2025-11-03T16:56:10.2066562Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661
2025-11-03T16:56:10.2066822Z ##[endgroup]
2025-11-03T16:56:10.2244663Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-11-03T16:56:10.2289221Z ##[group]Run # Remove any previous test reports if they exist
2025-11-03T16:56:10.2289528Z # Remove any previous test reports if they exist
2025-11-03T16:56:10.2289778Z rm -f test-reports-*.zip
2025-11-03T16:56:10.2290075Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-11-03T16:56:10.2294579Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:10.2294808Z env:
2025-11-03T16:56:10.2294960Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:10.2295235Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:10.2295525Z   DEVICE_NAME: 
2025-11-03T16:56:10.2295668Z   DEVICE_TYPE: 
2025-11-03T16:56:10.2295902Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661
2025-11-03T16:56:10.2296164Z ##[endgroup]
2025-11-03T16:56:10.2340765Z   adding: test/test-reports/inference_torchbench.csv (deflated 62%)
2025-11-03T16:56:10.2366673Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 97%)
2025-11-03T16:56:10.2371755Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 79%)
2025-11-03T16:56:10.2400321Z ##[group]Run # Remove any previous usage logs if they exist
2025-11-03T16:56:10.2400626Z # Remove any previous usage logs if they exist
2025-11-03T16:56:10.2400857Z rm -f logs-*.zip
2025-11-03T16:56:10.2401089Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-11-03T16:56:10.2401387Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-11-03T16:56:10.2405519Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:10.2405748Z env:
2025-11-03T16:56:10.2405900Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:10.2406171Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:10.2406465Z   DEVICE_NAME: 
2025-11-03T16:56:10.2406622Z   DEVICE_TYPE: 
2025-11-03T16:56:10.2406980Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661
2025-11-03T16:56:10.2407303Z ##[endgroup]
2025-11-03T16:56:10.2509858Z   adding: usage_log.txt (deflated 96%)
2025-11-03T16:56:10.2523335Z 
2025-11-03T16:56:10.2525631Z zip error: Nothing to do! (logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661.zip)
2025-11-03T16:56:10.2551720Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-11-03T16:56:10.2552044Z # Remove any previous debugging artifacts if they exist
2025-11-03T16:56:10.2552291Z rm -f debug-*.zip
2025-11-03T16:56:10.2552486Z if [ -d 'test/debug' ]; then
2025-11-03T16:56:10.2552705Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-11-03T16:56:10.2552911Z fi
2025-11-03T16:56:10.2561280Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:10.2561529Z env:
2025-11-03T16:56:10.2561689Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:10.2561989Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:10.2562282Z   DEVICE_NAME: 
2025-11-03T16:56:10.2562448Z   DEVICE_TYPE: 
2025-11-03T16:56:10.2562697Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661
2025-11-03T16:56:10.2562974Z ##[endgroup]
2025-11-03T16:56:10.2635376Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:56:10.2635589Z with:
2025-11-03T16:56:10.2635753Z   s3-bucket: gha-artifacts
2025-11-03T16:56:10.2635975Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:56:10.2636200Z   retention-days: 14
2025-11-03T16:56:10.2636368Z   if-no-files-found: warn
2025-11-03T16:56:10.2636546Z   path: test-jsons-*.zip
2025-11-03T16:56:10.2636712Z   name: artifact
2025-11-03T16:56:10.2636868Z   region: us-east-1
2025-11-03T16:56:10.2637010Z env:
2025-11-03T16:56:10.2637155Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:10.2637434Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:10.2637736Z   DEVICE_NAME: 
2025-11-03T16:56:10.2638036Z   DEVICE_TYPE: 
2025-11-03T16:56:10.2638203Z ##[endgroup]
2025-11-03T16:56:10.5361442Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T16:56:10.5361789Z With the provided path, there will be 1 file uploaded
2025-11-03T16:56:10.5362074Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T16:56:10.5391630Z Starting upload of test-jsons-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661.zip
2025-11-03T16:56:10.6608739Z Finished upload of test-jsons-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661.zip
2025-11-03T16:56:10.6772541Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:56:10.6772791Z with:
2025-11-03T16:56:10.6772965Z   s3-bucket: gha-artifacts
2025-11-03T16:56:10.6773196Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:56:10.6773440Z   retention-days: 14
2025-11-03T16:56:10.6773629Z   if-no-files-found: error
2025-11-03T16:56:10.6773809Z   path: test-reports-*.zip
2025-11-03T16:56:10.6773991Z   name: artifact
2025-11-03T16:56:10.6774149Z   region: us-east-1
2025-11-03T16:56:10.6774305Z env:
2025-11-03T16:56:10.6774446Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:10.6774714Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:10.6774999Z   DEVICE_NAME: 
2025-11-03T16:56:10.6775151Z   DEVICE_TYPE: 
2025-11-03T16:56:10.6775298Z ##[endgroup]
2025-11-03T16:56:10.9504716Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T16:56:10.9505181Z With the provided path, there will be 1 file uploaded
2025-11-03T16:56:10.9506023Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T16:56:10.9534837Z Starting upload of test-reports-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661.zip
2025-11-03T16:56:11.0710166Z Finished upload of test-reports-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661.zip
2025-11-03T16:56:11.0874523Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:56:11.0874888Z with:
2025-11-03T16:56:11.0875051Z   s3-bucket: gha-artifacts
2025-11-03T16:56:11.0875327Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:56:11.0875544Z   retention-days: 14
2025-11-03T16:56:11.0875702Z   if-no-files-found: ignore
2025-11-03T16:56:11.0875907Z   path: logs-*.zip
2025-11-03T16:56:11.0876065Z   name: artifact
2025-11-03T16:56:11.0876217Z   region: us-east-1
2025-11-03T16:56:11.0876376Z env:
2025-11-03T16:56:11.0876522Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:11.0876805Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:11.0877092Z   DEVICE_NAME: 
2025-11-03T16:56:11.0877244Z   DEVICE_TYPE: 
2025-11-03T16:56:11.0877393Z ##[endgroup]
2025-11-03T16:56:11.3324656Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T16:56:11.3325015Z With the provided path, there will be 1 file uploaded
2025-11-03T16:56:11.3325387Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T16:56:11.3353954Z Starting upload of logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661.zip
2025-11-03T16:56:11.4401484Z Finished upload of logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661.zip
2025-11-03T16:56:11.4547465Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:56:11.4547681Z with:
2025-11-03T16:56:11.4547839Z   s3-bucket: gha-artifacts
2025-11-03T16:56:11.4548049Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:56:11.4548265Z   retention-days: 14
2025-11-03T16:56:11.4548423Z   if-no-files-found: ignore
2025-11-03T16:56:11.4548615Z   path: debug-*.zip
2025-11-03T16:56:11.4548768Z   name: artifact
2025-11-03T16:56:11.4548919Z   region: us-east-1
2025-11-03T16:56:11.4549061Z env:
2025-11-03T16:56:11.4549205Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:11.4549481Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:11.4549766Z   DEVICE_NAME: 
2025-11-03T16:56:11.4549906Z   DEVICE_TYPE: 
2025-11-03T16:56:11.4550065Z ##[endgroup]
2025-11-03T16:56:11.6898013Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-11-03T16:56:11.7075110Z ##[group]Run # shellcheck disable=SC2156
2025-11-03T16:56:11.7075364Z # shellcheck disable=SC2156
2025-11-03T16:56:11.7075696Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-11-03T16:56:11.7081164Z shell: /usr/bin/bash -e {0}
2025-11-03T16:56:11.7081360Z env:
2025-11-03T16:56:11.7081525Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:11.7081842Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:11.7082142Z   DEVICE_NAME: 
2025-11-03T16:56:11.7082308Z   DEVICE_TYPE: 
2025-11-03T16:56:11.7082470Z ##[endgroup]
2025-11-03T16:56:11.8820470Z Prepare all required actions
2025-11-03T16:56:11.8820794Z Getting action download info
2025-11-03T16:56:12.0362577Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-11-03T16:56:12.0362843Z with:
2025-11-03T16:56:12.0363017Z   job_id: 54378387661
2025-11-03T16:56:12.0363302Z   job_name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:56:12.0363608Z   workflow_name: inductor
2025-11-03T16:56:12.0363798Z   workflow_run_id: 19040285537
2025-11-03T16:56:12.0363987Z   workflow_attempt: 1
2025-11-03T16:56:12.0364155Z env:
2025-11-03T16:56:12.0364306Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:12.0364608Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:12.0364993Z   DEVICE_NAME: 
2025-11-03T16:56:12.0365160Z   DEVICE_TYPE: 
2025-11-03T16:56:12.0365323Z ##[endgroup]
2025-11-03T16:56:12.0384693Z ##[group]Run echo "workflow_id: 19040285537"
2025-11-03T16:56:12.0384975Z echo "workflow_id: 19040285537"
2025-11-03T16:56:12.0385184Z echo "workflow_attempt: 1"
2025-11-03T16:56:12.0385380Z echo "workflow_Name: inductor"
2025-11-03T16:56:12.0385580Z echo "job_id: 54378387661"
2025-11-03T16:56:12.0385955Z echo "job_name:  inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)"
2025-11-03T16:56:12.0386262Z echo "artifact_prefix: "
2025-11-03T16:56:12.0386449Z python3 --version
2025-11-03T16:56:12.0390917Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:12.0391148Z env:
2025-11-03T16:56:12.0391294Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:12.0391564Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:12.0391853Z   DEVICE_NAME: 
2025-11-03T16:56:12.0392007Z   DEVICE_TYPE: 
2025-11-03T16:56:12.0392157Z ##[endgroup]
2025-11-03T16:56:12.0415227Z workflow_id: 19040285537
2025-11-03T16:56:12.0415504Z workflow_attempt: 1
2025-11-03T16:56:12.0421016Z workflow_Name: inductor
2025-11-03T16:56:12.0423280Z job_id: 54378387661
2025-11-03T16:56:12.0428427Z job_name:  inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-11-03T16:56:12.0430969Z artifact_prefix: 
2025-11-03T16:56:12.0431192Z Python 3.9.23
2025-11-03T16:56:12.0462705Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:56:12.0462908Z with:
2025-11-03T16:56:12.0463043Z   shell: bash
2025-11-03T16:56:12.0463192Z   timeout_minutes: 5
2025-11-03T16:56:12.0463348Z   max_attempts: 5
2025-11-03T16:56:12.0463504Z   retry_wait_seconds: 30
2025-11-03T16:56:12.0463846Z   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

2025-11-03T16:56:12.0464191Z   polling_interval_seconds: 1
2025-11-03T16:56:12.0464372Z   warning_on_retry: true
2025-11-03T16:56:12.0464537Z   continue_on_error: false
2025-11-03T16:56:12.0464692Z env:
2025-11-03T16:56:12.0464830Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:12.0465105Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:12.0465386Z   DEVICE_NAME: 
2025-11-03T16:56:12.0465526Z   DEVICE_TYPE: 
2025-11-03T16:56:12.0465670Z ##[endgroup]
2025-11-03T16:56:12.2945872Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:56:12.3509506Z Collecting python-dateutil==2.8.2
2025-11-03T16:56:12.3663762Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-11-03T16:56:13.0276824Z Collecting boto3==1.35.42
2025-11-03T16:56:13.0316044Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-11-03T16:56:13.3925139Z Collecting pandas==2.1.3
2025-11-03T16:56:13.3962092Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-11-03T16:56:13.4919911Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-11-03T16:56:13.4931221Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-11-03T16:56:13.4964721Z 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)
2025-11-03T16:56:13.4970671Z 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)
2025-11-03T16:56:13.4971349Z 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)
2025-11-03T16:56:13.5387599Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-11-03T16:56:13.5627425Z Collecting tzdata>=2022.1
2025-11-03T16:56:13.5661790Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-11-03T16:56:14.1525203Z Collecting numpy<2,>=1.22.4
2025-11-03T16:56:14.1563240Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-11-03T16:56:14.2816272Z 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)
2025-11-03T16:56:14.2819140Z 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)
2025-11-03T16:56:14.2875282Z 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)
2025-11-03T16:56:14.2938454Z 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)
2025-11-03T16:56:14.3008192Z 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)
2025-11-03T16:56:14.3010589Z 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)
2025-11-03T16:56:14.4497994Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-11-03T16:56:18.1757771Z   Attempting uninstall: boto3
2025-11-03T16:56:18.1763748Z     Found existing installation: boto3 1.35.33
2025-11-03T16:56:18.1820627Z     Uninstalling boto3-1.35.33:
2025-11-03T16:56:18.1828587Z       Successfully uninstalled boto3-1.35.33
2025-11-03T16:56:18.2238571Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-11-03T16:56:19.1134245Z Command completed after 1 attempt(s).
2025-11-03T16:56:19.1188983Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-11-03T16:56:19.1189405Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-11-03T16:56:19.1189712Z   --workflow-run-id "19040285537" \
2025-11-03T16:56:19.1189942Z   --workflow-name "inductor" \
2025-11-03T16:56:19.1190150Z   --workflow-run-attempt "1" \
2025-11-03T16:56:19.1190349Z   --job-id "54378387661" \
2025-11-03T16:56:19.1190648Z   --job-name "inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" \
2025-11-03T16:56:19.1190962Z   --local-path "" \
2025-11-03T16:56:19.1191151Z   --artifact-prefix ""
2025-11-03T16:56:19.1196783Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:19.1197012Z env:
2025-11-03T16:56:19.1197166Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:19.1197450Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:19.1197732Z   DEVICE_NAME: 
2025-11-03T16:56:19.1198015Z   DEVICE_TYPE: 
2025-11-03T16:56:19.1198171Z ##[endgroup]
2025-11-03T16:56:19.9646486Z repo: pytorch/pytorch
2025-11-03T16:56:19.9648273Z Search for test log in s3 bucket: ossci-utilization
2025-11-03T16:56:19.9649194Z Downloading logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661.zip
2025-11-03T16:56:19.9653083Z extracting usage_log.txt from zip file logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_54378387661.zip
2025-11-03T16:56:19.9655137Z Converted Log Model: UtilizationMetadata:
2025-11-03T16:56:19.9656133Z  UtilizationMetadata(level='metadata', workflow_id='19040285537', job_id='54378387661', workflow_name='inductor', job_name='inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1762187167, gpu_count=0, cpu_count=32, gpu_type=None, error=None)
2025-11-03T16:56:19.9656962Z [Db Segments] detected pytest cmd: 11, generated segments: 11
2025-11-03T16:56:19.9657397Z [db model] Peek db timeseries 
2025-11-03T16:56:19.9657580Z :{
2025-11-03T16:56:19.9657728Z     "created_at": 1762188979,
2025-11-03T16:56:19.9657913Z     "type": "utilization",
2025-11-03T16:56:19.9658078Z     "tags": [
2025-11-03T16:56:19.9658233Z         "record"
2025-11-03T16:56:19.9658379Z     ],
2025-11-03T16:56:19.9658523Z     "time_stamp": 1762187167,
2025-11-03T16:56:19.9658731Z     "repo": "pytorch/pytorch",
2025-11-03T16:56:19.9658913Z     "workflow_id": 19040285537,
2025-11-03T16:56:19.9659852Z     "run_attempt": 1,
2025-11-03T16:56:19.9660019Z     "job_id": 54378387661,
2025-11-03T16:56:19.9660199Z     "workflow_name": "inductor",
2025-11-03T16:56:19.9660487Z     "job_name": "inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)",
2025-11-03T16:56:19.9660776Z     "json_data": "{}"
2025-11-03T16:56:19.9660924Z }
2025-11-03T16:56:19.9661221Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/19040285537/1/54378387661/metadata
2025-11-03T16:56:19.9661730Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/19040285537/1/54378387661/metadata 
2025-11-03T16:56:19.9662250Z Writing 357 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/19040285537/1/54378387661/time_series
2025-11-03T16:56:19.9662769Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/19040285537/1/54378387661/time_series 
2025-11-03T16:56:20.0764622Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-11-03T16:56:20.0764967Z with:
2025-11-03T16:56:20.0765126Z env:
2025-11-03T16:56:20.0765282Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:20.0765619Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:20.0765963Z   DEVICE_NAME: 
2025-11-03T16:56:20.0766132Z   DEVICE_TYPE: 
2025-11-03T16:56:20.0766289Z ##[endgroup]
2025-11-03T16:56:20.0783818Z ##[group]Run set -eou pipefail
2025-11-03T16:56:20.0784165Z set -eou pipefail
2025-11-03T16:56:20.0784347Z 
2025-11-03T16:56:20.0784571Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-11-03T16:56:20.0784836Z for _ in $(seq 1440); do
2025-11-03T16:56:20.0785052Z     # Break if no ssh session exists anymore
2025-11-03T16:56:20.0785266Z     if [ "$(who)" = "" ]; then
2025-11-03T16:56:20.0785450Z       break
2025-11-03T16:56:20.0785636Z     fi
2025-11-03T16:56:20.0785790Z     echo "."
2025-11-03T16:56:20.0785938Z     sleep 5
2025-11-03T16:56:20.0786087Z done
2025-11-03T16:56:20.0790388Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:20.0790613Z env:
2025-11-03T16:56:20.0790753Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:20.0791029Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:20.0791312Z   DEVICE_NAME: 
2025-11-03T16:56:20.0791459Z   DEVICE_TYPE: 
2025-11-03T16:56:20.0791605Z ##[endgroup]
2025-11-03T16:56:20.0813900Z Holding runner for 2 hours until all ssh sessions have logged out
2025-11-03T16:56:20.0907843Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:56:20.0908184Z # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:56:20.0908440Z # shellcheck disable=SC2046
2025-11-03T16:56:20.0908668Z docker stop $(docker ps -q) || true
2025-11-03T16:56:20.0908882Z # Prune all of the docker images
2025-11-03T16:56:20.0909084Z docker system prune -af
2025-11-03T16:56:20.0912918Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:20.0913143Z env:
2025-11-03T16:56:20.0913292Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:56:20.0913558Z   DOCKER_CONTAINER_ID: dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:20.0913842Z   DEVICE_NAME: 
2025-11-03T16:56:20.0913995Z   DEVICE_TYPE: 
2025-11-03T16:56:20.0914207Z ##[endgroup]
2025-11-03T16:56:31.0036235Z dc70d86de093
2025-11-03T16:56:31.4106660Z Deleted Containers:
2025-11-03T16:56:31.4108039Z dc70d86de09310093120583db5281b199e4c307378253174f9d4d0a023577f03
2025-11-03T16:56:31.4108258Z 
2025-11-03T16:56:38.3523195Z Deleted Images:
2025-11-03T16:56:38.3523926Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:56:38.3524867Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:882a19f24dba11c5445e0a3a1cb4ef199b1740a1ba310ace5991cb025e30be3b
2025-11-03T16:56:38.3525846Z deleted: sha256:a0defb4d3830e67aa1d3adb1251bb453436eb10d09880acf2cba4d790dae265b
2025-11-03T16:56:38.3526299Z deleted: sha256:82ac7aec4f0bca562eab8c4825342b05cdafed8368784defc9e27f8791d0db2b
2025-11-03T16:56:38.3526737Z deleted: sha256:61ae75ee547c9fed8ba4e5630b635a83a5ed0193e2d6b0876370385c43cbc386
2025-11-03T16:56:38.3527150Z deleted: sha256:53e23ef5a6b5620bb3d374fd8f74b7771e84a127755907aeeba18bf7b17c7c08
2025-11-03T16:56:38.3527582Z deleted: sha256:b806f8084416a98d74c30a36c3fd5d4450605a892961a76b057b05fc9d6ebd33
2025-11-03T16:56:38.3527970Z deleted: sha256:cf7eb9f22f8db3b42689e81a452cdddc4a9d01a23859b5f5cd5194957dfd5bd7
2025-11-03T16:56:38.3528350Z deleted: sha256:28e1b7ba06f74fa7c83a873938efbb3584b900099fa4bd24ec15f4a7bb860cee
2025-11-03T16:56:38.3528872Z deleted: sha256:4031f9af404b9f2e23af1cd56e88fea15e6f849f4087bc18917c4c3e2a293817
2025-11-03T16:56:38.3529251Z deleted: sha256:76e95aa1d9201839a0f50b3fb107a816ae51d18940add18530952bee6ab5ea44
2025-11-03T16:56:38.3529617Z deleted: sha256:84ac6baf1e810689b526126263b31d507d06dd56b717485a2b896d5bd3a6801c
2025-11-03T16:56:38.3529989Z deleted: sha256:b8d5c6c7d66180b612f717fd1072abd5aac703aaa102291a5bb6058039531238
2025-11-03T16:56:38.3530366Z deleted: sha256:cd7a0db4b49b4911733be8b0d652ac8ec11a9d328e699b9a603cad1cecb2c152
2025-11-03T16:56:38.3530726Z deleted: sha256:208a055ef764eeb0753949b5753d2e515615de9853478916c64d841d9c818ad5
2025-11-03T16:56:38.3531092Z deleted: sha256:62150b30c29f90c98083ff2d70ae84a07b4a34df9d16a9d2dd414d0ddc164e57
2025-11-03T16:56:38.3531460Z deleted: sha256:0f7abc6f2c9060709f66e12ebdd4e439283b2365f46f0170a0728c67de3e2e21
2025-11-03T16:56:38.3531834Z deleted: sha256:ebe7cb1a3a2922e3cb9813507fd6dc93348eb0fe7c845732029ab2293b303057
2025-11-03T16:56:38.3532207Z deleted: sha256:f92e9acb12381f6060f8aace42598548176dd8bfb974b0e9d07e866889cc380b
2025-11-03T16:56:38.3532569Z deleted: sha256:01774ae2ba349772d5e9d98c5d03e8aee45f7a40817f904e8f0888520596974d
2025-11-03T16:56:38.3532949Z deleted: sha256:dd4aacf179ef25a5f6a71c6640b17f6cdfa9536d804c3fe05e8f668caf00b87e
2025-11-03T16:56:38.3533322Z deleted: sha256:35330dba33895bfdd998d21c2eb95b32097bc863d08ec6f9b2713689e1412763
2025-11-03T16:56:38.3533687Z deleted: sha256:b6e8897d94d19d8e5061b163b8b3fab4072d6df3a021775e9dc7bac6242a5236
2025-11-03T16:56:38.3534041Z deleted: sha256:b62627949005abd5a68f3e92bac6a6c555cf2c585c80008762c14d790f917a57
2025-11-03T16:56:38.3534411Z deleted: sha256:7b690d5476812bea1cdf504b61d2d1cf6378d65115de2ebc48a9ea3cab432cac
2025-11-03T16:56:38.3534774Z deleted: sha256:17afde0042e4353e06524353faae3c5314334a2071d52acbf038746118884443
2025-11-03T16:56:38.3535136Z deleted: sha256:67c49432bef88ff63042210d551b734824255efc2ec0034c805f3c923d38c9d7
2025-11-03T16:56:38.3535497Z deleted: sha256:6fbe2628d6c9f4307c7d193652e9d9a9897b8594c2f50a151e86e956b16bfb0e
2025-11-03T16:56:38.3535853Z deleted: sha256:ae4687b17b9d13098147b63064373278529539f1cb1455f8c2e141c2cb67678a
2025-11-03T16:56:38.3536223Z deleted: sha256:ecb6dbc02f6f686a59ba8cb5ffac62a0efea585941976221c6b6580c844f1dad
2025-11-03T16:56:38.3536600Z deleted: sha256:e7b8ee901c7e1ad0cab106a2fc7f2886a8efc5517d39822db601c1d9b7bcca2a
2025-11-03T16:56:38.3536965Z deleted: sha256:25c2f9556b1a7cc3bb18d2430898188693468fb55f2956c8198ef547baf3dcbf
2025-11-03T16:56:38.3537433Z deleted: sha256:f3a9fb1e4b0c62e9a5038472b38af0aae70bc68ae9135a810b243921e3988d25
2025-11-03T16:56:38.3537807Z deleted: sha256:9835b6a41a9c069ef208c7f44dd89c3fc60227bda774ced2f201ad1c0c095764
2025-11-03T16:56:38.3538280Z deleted: sha256:59ccb6478f5041bbf13a6a9c55efac0e8129dbc76b33a30a999f8c96494e5b06
2025-11-03T16:56:38.3538659Z deleted: sha256:9dbdd6727f46d4c586df4c452f22d6236bb5f525d78be86801b0e1ba3f660437
2025-11-03T16:56:38.3539072Z deleted: sha256:64fc2cc156c361a33e0433a6e05274ffb847d39e2c383acc0b64b6d86836113b
2025-11-03T16:56:38.3539446Z deleted: sha256:0d1e5b8a20a8351464cd5c70a407b6222f4dccee7fffc2800b55fce9e87a3272
2025-11-03T16:56:38.3539855Z deleted: sha256:c15d099db094c4ce7377d37bfdb7030b8a29ac7e01a224faaf68c6a34a64088f
2025-11-03T16:56:38.3540228Z deleted: sha256:577af5bfa5dad1cd57c52e7d25928ac02e46e5a7f7e7b3755879b88411efa364
2025-11-03T16:56:38.3540598Z deleted: sha256:2c552e56af39ee1ce57a188082fc3741975e8e930b492dd540f444c9af71822b
2025-11-03T16:56:38.3540963Z deleted: sha256:484814563b2babcb6d7d290972d0945c09ed773cf807ae77e93d309bac172b2d
2025-11-03T16:56:38.3541375Z deleted: sha256:6385deb53b9f6309f2683a0faf0702806f87d358f229dbc02441809d8aaec291
2025-11-03T16:56:38.3541740Z deleted: sha256:a2308737c8326ee8536a4b7b62d904b6ed8a1a8864d6a1be84b4bd9c80ece853
2025-11-03T16:56:38.3542102Z deleted: sha256:65b65732df68a535dbae91748965a60a841c6caced2df12407d3024036ca6823
2025-11-03T16:56:38.3542465Z deleted: sha256:14710f315b934b0068b6c395e5c64d6da8fe5dd4d691e1be713f5e3581774e9f
2025-11-03T16:56:38.3542883Z deleted: sha256:c32b0c1e6d822346f60ba3a34ae32b36e900b29848d4adf18ef1c845361abc6b
2025-11-03T16:56:38.3543252Z deleted: sha256:85151972074d1304dee07db913f717883702f736c391980185efdd274bcb15e5
2025-11-03T16:56:38.3543594Z deleted: sha256:b08d790bfff71a169f3b24099350138102506e8ac03c5302cd2913a67c6927e9
2025-11-03T16:56:38.3543948Z deleted: sha256:70b04de2e2ecca6134e6fc488ae17ddfe15fa14363584f38ab77ed41c2c5eb8c
2025-11-03T16:56:38.3544310Z deleted: sha256:f107a2cf62b8234a57c9dbabef97c64802c0b5b75a0dc34addbd9180d807781b
2025-11-03T16:56:38.3544654Z deleted: sha256:26921a3710106c63857fae410c65936c9d57a41b3d3ee792b712ce14cb400094
2025-11-03T16:56:38.3545011Z deleted: sha256:c52bf37890136cc6bd0ec54c3b48cfcd86bdca8b89c9f37a66f00dd8cdb85dbc
2025-11-03T16:56:38.3545368Z deleted: sha256:4c084c773d87ac6a7b53fd3b68dc57e72858598adda064b9be427151ce4296fc
2025-11-03T16:56:38.3545724Z deleted: sha256:0314cbf4ae7da0d9b65b7c8dac180e92a292321bd0580d45040bd50c0d0bdab1
2025-11-03T16:56:38.3546074Z deleted: sha256:9d90c078393230c96254979c79d7b59ac61722883e62404e6989f911c650bece
2025-11-03T16:56:38.3546436Z deleted: sha256:a607c4e66af475e5da6c7ed4554ffb1b91c626a8d0be96cfbd60d69cde21bfc4
2025-11-03T16:56:38.3546805Z deleted: sha256:22805768ac6564085909c7523b28cf5f430e6e25246381e9c8246d032085f447
2025-11-03T16:56:38.3547160Z deleted: sha256:fd0d7864865a14b3a03d8a07968315537bdf440fa069c908aeaedd6ec9f6b08d
2025-11-03T16:56:38.3547518Z deleted: sha256:40951534f06a293a8437e3ff21aa4092224f42308a3f6f4c4fe0121dc96e5db5
2025-11-03T16:56:38.3547890Z deleted: sha256:d7af1ad1a6660e8e1a2a16e691aab3e685bdbc43776dbcdc2078c11ca172bf82
2025-11-03T16:56:38.3548259Z deleted: sha256:37f5c0c751b9d6af825bf9a59ff92d14010a2203199eae7d09d2719fdaeb05f7
2025-11-03T16:56:38.3548618Z deleted: sha256:692b929e76151fdb96a95e51e889695c9e8b4d8bc64b185a004cbb086af8e018
2025-11-03T16:56:38.3548975Z deleted: sha256:4eaf11d355fc12616b65790f9844334fa31fa9c8e300c0ff66e7ba5b22bd6e50
2025-11-03T16:56:38.3549335Z deleted: sha256:15f6d4def1ce5d48a3bd64c8a1692dfdb53e9853830e01125d42d3ccfed48fc8
2025-11-03T16:56:38.3549701Z deleted: sha256:0f594ce1f8c39e40967bb7c66cc1dc9e5b724d612902f0dd3d5648816e2bdf75
2025-11-03T16:56:38.3550074Z deleted: sha256:b29d5650f65ff3c479680efda6adc93bcc9c533a340a86ad723cdc76e9a298a3
2025-11-03T16:56:38.3550447Z deleted: sha256:f292d461d3c679728d589e33eedb7ae89c1bdd16fd6237aaeb289bb1feacb1b6
2025-11-03T16:56:38.3550815Z deleted: sha256:669f78efd8a92cf04a59941047bee63928e770a10be40f289c2c01554a877ad6
2025-11-03T16:56:38.3551169Z deleted: sha256:0610e32004d9778a18d7c3198cebe1a21261ca0a22bc896cc02075390e371c4c
2025-11-03T16:56:38.3551532Z deleted: sha256:b34a3a5187a31b74c309baa927b3648f9498191210f15562eb8bd4b9c459d4bc
2025-11-03T16:56:38.3551917Z deleted: sha256:9f67593f5b06e110bc2b0889317497c272b98172aa91b8d51ed9d984620d06b3
2025-11-03T16:56:38.3552284Z deleted: sha256:3a1dd5381684672e726fa22fe5f52b4ff2a3221be8387bae31cac48d8cf44160
2025-11-03T16:56:38.3552655Z deleted: sha256:0762a25793757de2556a7b814d486a5a873ec574ac61f9d91a474eaf375e1b67
2025-11-03T16:56:38.3553028Z deleted: sha256:5bd16286d6de50db41e88d08de4dd16e9f29b7fde27240e7150b555eb6304032
2025-11-03T16:56:38.3553433Z deleted: sha256:f51568a24cfe465ba35d0d865d7e32f24c5a347c27192d67dc9520a9024ddf03
2025-11-03T16:56:38.3553810Z deleted: sha256:c0e8a0889134ef4a1266f4366a249c57d2d793559c6a6d97574717d5495c7d11
2025-11-03T16:56:38.3554182Z deleted: sha256:904a0c05776cc17071df74937da4e208fc2416280593996f81d3e841e1c41048
2025-11-03T16:56:38.3554553Z deleted: sha256:f06d72f7ba722688f62652416669b4724c8e30b74891813b455efdffe1f93466
2025-11-03T16:56:38.3554920Z deleted: sha256:0d4e7a386bc94313f389eadd45f688a707d1b5d4994378381450de2306a82c79
2025-11-03T16:56:38.3555301Z deleted: sha256:63cc9363306d393f09857fa7d93605c66c884fdcbbb254c37474b6cf4f293a35
2025-11-03T16:56:38.3555678Z deleted: sha256:767e56ba346ae714b6e6b816baa839051145ed78cfa0e4524a86cc287b0c4b00
2025-11-03T16:56:38.3555901Z 
2025-11-03T16:56:38.3556005Z Total reclaimed space: 54.98GB
2025-11-03T16:56:38.3638980Z Post job cleanup.
2025-11-03T16:56:38.3679623Z Post job cleanup.
2025-11-03T16:56:38.4488268Z [command]/usr/bin/git version
2025-11-03T16:56:38.4524706Z git version 2.50.1
2025-11-03T16:56:38.4551900Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/82b539e2-5986-4d7b-bd3c-9a44a9f895cd/.gitconfig'
2025-11-03T16:56:38.4565364Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/82b539e2-5986-4d7b-bd3c-9a44a9f895cd' before making global git config changes
2025-11-03T16:56:38.4565955Z Adding repository directory to the temporary git global config as a safe directory
2025-11-03T16:56:38.4572202Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:56:38.4625643Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-11-03T16:56:38.4658798Z [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' || :"
2025-11-03T16:56:38.4982498Z Entering 'android/libs/fbjni'
2025-11-03T16:56:38.5038230Z Entering 'third_party/FP16'
2025-11-03T16:56:38.5093091Z Entering 'third_party/FXdiv'
2025-11-03T16:56:38.5157749Z Entering 'third_party/NNPACK'
2025-11-03T16:56:38.5216590Z Entering 'third_party/NVTX'
2025-11-03T16:56:38.5273865Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:56:38.5325163Z Entering 'third_party/XNNPACK'
2025-11-03T16:56:38.5393636Z Entering 'third_party/aiter'
2025-11-03T16:56:38.5446279Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:56:38.5507128Z Entering 'third_party/benchmark'
2025-11-03T16:56:38.5560086Z Entering 'third_party/composable_kernel'
2025-11-03T16:56:38.5626244Z Entering 'third_party/cpp-httplib'
2025-11-03T16:56:38.5680600Z Entering 'third_party/cpuinfo'
2025-11-03T16:56:38.5740237Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:56:38.5798463Z Entering 'third_party/cutlass'
2025-11-03T16:56:38.5859131Z Entering 'third_party/fbgemm'
2025-11-03T16:56:38.5914285Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:56:38.5967778Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:56:38.6028728Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:56:38.6082597Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:56:38.6148338Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:56:38.6202624Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:56:38.6257252Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:56:38.6319301Z Entering 'third_party/flash-attention'
2025-11-03T16:56:38.6375577Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:56:38.6436697Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:56:38.6495954Z Entering 'third_party/flatbuffers'
2025-11-03T16:56:38.6552368Z Entering 'third_party/fmt'
2025-11-03T16:56:38.6611553Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:56:38.6663164Z Entering 'third_party/gloo'
2025-11-03T16:56:38.6720516Z Entering 'third_party/googletest'
2025-11-03T16:56:38.6777773Z Entering 'third_party/ideep'
2025-11-03T16:56:38.6830717Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:56:38.6890146Z Entering 'third_party/ittapi'
2025-11-03T16:56:38.6949440Z Entering 'third_party/kineto'
2025-11-03T16:56:38.7001962Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:56:38.7056624Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:56:38.7108348Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:56:38.7160406Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:56:38.7217874Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:56:38.7275931Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:56:38.7335012Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:56:38.7386292Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:56:38.7437212Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:56:38.7496037Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:56:38.7550775Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:56:38.7600374Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:56:38.7656633Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:56:38.7719128Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:56:38.7774778Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:56:38.7835249Z Entering 'third_party/kleidiai'
2025-11-03T16:56:38.7892357Z Entering 'third_party/mimalloc'
2025-11-03T16:56:38.7952631Z Entering 'third_party/nlohmann'
2025-11-03T16:56:38.8006503Z Entering 'third_party/onnx'
2025-11-03T16:56:38.8072131Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:56:38.8126733Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:56:38.8181071Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:56:38.8235201Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:56:38.8292308Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:56:38.8349966Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:56:38.8407427Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:56:38.8455850Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:56:38.8509226Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:56:38.8560035Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:56:38.8617738Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:56:38.8671546Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:56:38.8744379Z Entering 'third_party/pocketfft'
2025-11-03T16:56:38.8799071Z Entering 'third_party/protobuf'
2025-11-03T16:56:38.8855463Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:56:38.8911311Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:56:38.8966218Z Entering 'third_party/psimd'
2025-11-03T16:56:38.9026563Z Entering 'third_party/pthreadpool'
2025-11-03T16:56:38.9078235Z Entering 'third_party/pybind11'
2025-11-03T16:56:38.9138946Z Entering 'third_party/python-peachpy'
2025-11-03T16:56:38.9193669Z Entering 'third_party/sleef'
2025-11-03T16:56:38.9251428Z Entering 'third_party/tensorpipe'
2025-11-03T16:56:38.9305550Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:56:38.9359798Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:56:38.9412205Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:56:38.9466567Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:56:38.9519402Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:56:38.9595919Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-11-03T16:56:38.9615108Z http.https://github.com/.extraheader
2025-11-03T16:56:38.9625552Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-11-03T16:56:38.9654893Z [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' || :"
2025-11-03T16:56:38.9972699Z Entering 'android/libs/fbjni'
2025-11-03T16:56:39.0007784Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0038207Z Entering 'third_party/FP16'
2025-11-03T16:56:39.0072201Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0110450Z Entering 'third_party/FXdiv'
2025-11-03T16:56:39.0143759Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0179045Z Entering 'third_party/NNPACK'
2025-11-03T16:56:39.0213749Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0250681Z Entering 'third_party/NVTX'
2025-11-03T16:56:39.0289618Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0327690Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:56:39.0357310Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0395596Z Entering 'third_party/XNNPACK'
2025-11-03T16:56:39.0432365Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0482136Z Entering 'third_party/aiter'
2025-11-03T16:56:39.0515006Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0552003Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:56:39.0586857Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0634101Z Entering 'third_party/benchmark'
2025-11-03T16:56:39.0668838Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0703586Z Entering 'third_party/composable_kernel'
2025-11-03T16:56:39.0738868Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0782731Z Entering 'third_party/cpp-httplib'
2025-11-03T16:56:39.0816993Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0854081Z Entering 'third_party/cpuinfo'
2025-11-03T16:56:39.0887631Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0927312Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:56:39.0959822Z http.https://github.com/.extraheader
2025-11-03T16:56:39.0997214Z Entering 'third_party/cutlass'
2025-11-03T16:56:39.1030179Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1076170Z Entering 'third_party/fbgemm'
2025-11-03T16:56:39.1108264Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1147400Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:56:39.1177268Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1214747Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:56:39.1248737Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1289613Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:56:39.1321996Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1358486Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:56:39.1394263Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1432880Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:56:39.1468917Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1503545Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:56:39.1534912Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1571380Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:56:39.1604035Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1643044Z Entering 'third_party/flash-attention'
2025-11-03T16:56:39.1680074Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1713551Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:56:39.1747570Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1787270Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:56:39.1820424Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1868632Z Entering 'third_party/flatbuffers'
2025-11-03T16:56:39.1902812Z http.https://github.com/.extraheader
2025-11-03T16:56:39.1944006Z Entering 'third_party/fmt'
2025-11-03T16:56:39.1981426Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2018205Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:56:39.2053596Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2090619Z Entering 'third_party/gloo'
2025-11-03T16:56:39.2123640Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2156009Z Entering 'third_party/googletest'
2025-11-03T16:56:39.2196907Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2235163Z Entering 'third_party/ideep'
2025-11-03T16:56:39.2269534Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2305686Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:56:39.2340652Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2386215Z Entering 'third_party/ittapi'
2025-11-03T16:56:39.2420264Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2456377Z Entering 'third_party/kineto'
2025-11-03T16:56:39.2490732Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2524880Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:56:39.2559141Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2596357Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:56:39.2631470Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2667069Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:56:39.2701689Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2738750Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:56:39.2773232Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2811828Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:56:39.2846626Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2880574Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:56:39.2915434Z http.https://github.com/.extraheader
2025-11-03T16:56:39.2952473Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:56:39.2991830Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3029772Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:56:39.3063958Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3097902Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:56:39.3136385Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3178255Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:56:39.3213642Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3251022Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:56:39.3285183Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3318850Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:56:39.3354010Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3392388Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:56:39.3423350Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3463134Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:56:39.3500387Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3535702Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:56:39.3575488Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3616266Z Entering 'third_party/kleidiai'
2025-11-03T16:56:39.3653787Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3687157Z Entering 'third_party/mimalloc'
2025-11-03T16:56:39.3720022Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3753430Z Entering 'third_party/nlohmann'
2025-11-03T16:56:39.3789153Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3828915Z Entering 'third_party/onnx'
2025-11-03T16:56:39.3864252Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3912030Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:56:39.3946300Z http.https://github.com/.extraheader
2025-11-03T16:56:39.3984791Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:56:39.4019130Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4053036Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:56:39.4091140Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4126615Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:56:39.4157060Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4197278Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:56:39.4231690Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4268591Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:56:39.4303089Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4337925Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:56:39.4372819Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4410095Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:56:39.4440036Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4478935Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:56:39.4510279Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4542995Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:56:39.4576994Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4615732Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:56:39.4650899Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4686600Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:56:39.4719592Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4771582Z Entering 'third_party/pocketfft'
2025-11-03T16:56:39.4810953Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4842420Z Entering 'third_party/protobuf'
2025-11-03T16:56:39.4879147Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4916343Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:56:39.4953689Z http.https://github.com/.extraheader
2025-11-03T16:56:39.4987670Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:56:39.5022672Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5060838Z Entering 'third_party/psimd'
2025-11-03T16:56:39.5095820Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5133336Z Entering 'third_party/pthreadpool'
2025-11-03T16:56:39.5163124Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5199733Z Entering 'third_party/pybind11'
2025-11-03T16:56:39.5233334Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5272418Z Entering 'third_party/python-peachpy'
2025-11-03T16:56:39.5306486Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5338524Z Entering 'third_party/sleef'
2025-11-03T16:56:39.5372766Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5408409Z Entering 'third_party/tensorpipe'
2025-11-03T16:56:39.5442358Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5472594Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:56:39.5508751Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5539436Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:56:39.5575859Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5609569Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:56:39.5644088Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5683341Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:56:39.5714454Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5751311Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:56:39.5786138Z http.https://github.com/.extraheader
2025-11-03T16:56:39.5926949Z A job completed hook has been configured by the self-hosted runner administrator
2025-11-03T16:56:39.5950388Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-11-03T16:56:39.5953683Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:56:39.5953933Z ##[endgroup]
2025-11-03T16:56:39.6050741Z [!ALERT!] Swap in detected! [!ALERT!]
2025-11-03T16:56:48.1828192Z [!ALERT!] Swap out detected [!ALERT!]
2025-11-03T16:57:02.8681043Z Cleaning up orphan processes