2025-10-10T00:33:29.5427910Z Current runner version: '2.328.0'
2025-10-10T00:33:29.5433783Z Runner name: 'i-09ed82b116d31dad0'
2025-10-10T00:33:29.5434534Z Runner group name: 'default'
2025-10-10T00:33:29.5435307Z Machine name: 'ip-10-0-56-209'
2025-10-10T00:33:29.5437552Z ##[group]GITHUB_TOKEN Permissions
2025-10-10T00:33:29.5440093Z Contents: read
2025-10-10T00:33:29.5440587Z Metadata: read
2025-10-10T00:33:29.5441005Z ##[endgroup]
2025-10-10T00:33:29.5443016Z Secret source: Actions
2025-10-10T00:33:29.5443607Z Prepare workflow directory
2025-10-10T00:33:29.5881196Z Prepare all required actions
2025-10-10T00:33:29.5916764Z Getting action download info
2025-10-10T00:33:29.8579517Z Download action repository 'pytorch/test-infra@main' (SHA:264eed5d70b428e3aa5c1a7c98e4330f866e183f)
2025-10-10T00:33:30.9241497Z Download action repository 'pytorch/pytorch@main' (SHA:a6fa4f9c283971c0fb6f60a89674a1f35370ac79)
2025-10-10T00:33:46.3142555Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-10-10T00:33:46.6490121Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-10-10T00:33:46.8937934Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-10-10T00:33:47.1180669Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-10-10T00:33:47.4093148Z Getting action download info
2025-10-10T00:33:47.6193241Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-10-10T00:33:47.8493383Z Getting action download info
2025-10-10T00:33:47.9526029Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-10-10T00:33:48.1373306Z Getting action download info
2025-10-10T00:33:48.2309189Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-10-10T00:33:48.4004101Z Getting action download info
2025-10-10T00:33:48.5393047Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (344e6365a0068c2d2847fcec0c55dd53291d475e)
2025-10-10T00:33:48.5396667Z ##[group] Inputs
2025-10-10T00:33:48.5397082Z   build-environment: linux-jammy-py3.10-gcc11-build
2025-10-10T00:33:48.5399071Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:33:48.5401270Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:33:48.5401904Z   sync-tag: 
2025-10-10T00:33:48.5402685Z   timeout-minutes: 240
2025-10-10T00:33:48.5402968Z   use-gha: 
2025-10-10T00:33:48.5403243Z   dashboard-tag: 
2025-10-10T00:33:48.5403477Z   s3-bucket: gha-artifacts
2025-10-10T00:33:48.5403757Z   aws-role-to-assume: 
2025-10-10T00:33:48.5404253Z   disable-monitor: false
2025-10-10T00:33:48.5404568Z   monitor-log-interval: 5
2025-10-10T00:33:48.5405110Z   monitor-data-collect-interval: 1
2025-10-10T00:33:48.5405554Z ##[endgroup]
2025-10-10T00:33:48.5405947Z Complete job name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:33:48.5897491Z A job started hook has been configured by the self-hosted runner administrator
2025-10-10T00:33:48.5979113Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-10-10T00:33:48.5986642Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:33:48.5987166Z ##[endgroup]
2025-10-10T00:33:49.6588785Z Runner Type: linux.8xlarge.amx
2025-10-10T00:33:49.6589321Z Instance Type: m7i-flex.8xlarge
2025-10-10T00:33:49.6589746Z AMI Name: unknown
2025-10-10T00:33:49.6615819Z AMI ID: ami-08982f1c5bf93d976
2025-10-10T00:33:54.1298906Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-10-10T00:33:54.1299268Z with:
2025-10-10T00:33:54.1299853Z   github-secret: ***
2025-10-10T00:33:54.1300349Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-10-10T00:33:54.1300885Z   activate-with-label: false
2025-10-10T00:33:54.1301103Z   label: with-ssh
2025-10-10T00:33:54.1301301Z   remove-existing-keys: true
2025-10-10T00:33:54.1301504Z   fail-silently: true
2025-10-10T00:33:54.1301702Z env:
2025-10-10T00:33:54.1301872Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:33:54.1302082Z ##[endgroup]
2025-10-10T00:33:54.2288674Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-10-10T00:33:54.2289384Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-10-10T00:33:54.2434872Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-10-10T00:33:54.2435229Z with:
2025-10-10T00:33:54.2435431Z   no-sudo: true
2025-10-10T00:33:54.2435639Z   submodules: recursive
2025-10-10T00:33:54.2435858Z   fetch-depth: 0
2025-10-10T00:33:54.2436053Z env:
2025-10-10T00:33:54.2436240Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:33:54.2436478Z ##[endgroup]
2025-10-10T00:33:54.2509644Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:33:54.2510313Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:33:54.2519265Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:33:54.2519531Z env:
2025-10-10T00:33:54.2519741Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:33:54.2519988Z ##[endgroup]
2025-10-10T00:33:54.2603773Z ##[group]Run # Use all available CPUs for fetching
2025-10-10T00:33:54.2604127Z # Use all available CPUs for fetching
2025-10-10T00:33:54.2604384Z cd "${GITHUB_WORKSPACE}"
2025-10-10T00:33:54.2604642Z git config --global fetch.parallel 0
2025-10-10T00:33:54.2604928Z git config --global submodule.fetchJobs 0
2025-10-10T00:33:54.2605169Z 
2025-10-10T00:33:54.2605547Z # Clean workspace. The default checkout action should also do this, but
2025-10-10T00:33:54.2605892Z # do it here as well just in case
2025-10-10T00:33:54.2606132Z if [[ -d .git ]]; then
2025-10-10T00:33:54.2606370Z   if [ -z "${NO_SUDO}" ]; then
2025-10-10T00:33:54.2606590Z     sudo git clean -ffdx
2025-10-10T00:33:54.2606796Z   else
2025-10-10T00:33:54.2606975Z     git clean -ffdx
2025-10-10T00:33:54.2607170Z   fi
2025-10-10T00:33:54.2607329Z fi
2025-10-10T00:33:54.2611838Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:33:54.2612102Z env:
2025-10-10T00:33:54.2612272Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:33:54.2612462Z   NO_SUDO: true
2025-10-10T00:33:54.2612623Z ##[endgroup]
2025-10-10T00:33:54.2740400Z ##[group]Run actions/checkout@v4
2025-10-10T00:33:54.2740675Z with:
2025-10-10T00:33:54.2740905Z   ref: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:33:54.2741423Z   fetch-depth: 0
2025-10-10T00:33:54.2741636Z   submodules: recursive
2025-10-10T00:33:54.2741870Z   show-progress: false
2025-10-10T00:33:54.2742107Z   repository: pytorch/pytorch
2025-10-10T00:33:54.2742460Z   token: ***
2025-10-10T00:33:54.2742654Z   ssh-strict: true
2025-10-10T00:33:54.2742858Z   ssh-user: git
2025-10-10T00:33:54.2743074Z   persist-credentials: true
2025-10-10T00:33:54.2743309Z   clean: true
2025-10-10T00:33:54.2743519Z   sparse-checkout-cone-mode: true
2025-10-10T00:33:54.2743772Z   fetch-tags: false
2025-10-10T00:33:54.2743974Z   lfs: false
2025-10-10T00:33:54.2744178Z   set-safe-directory: true
2025-10-10T00:33:54.2744410Z env:
2025-10-10T00:33:54.2744606Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:33:54.2744831Z ##[endgroup]
2025-10-10T00:33:54.3692857Z Syncing repository: pytorch/pytorch
2025-10-10T00:33:54.3694037Z ##[group]Getting Git version info
2025-10-10T00:33:54.3694385Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-10-10T00:33:54.3694885Z [command]/usr/bin/git version
2025-10-10T00:33:54.3695096Z git version 2.50.1
2025-10-10T00:33:54.3704756Z ##[endgroup]
2025-10-10T00:33:54.3718427Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/24a5e0dc-3bce-43b5-bc78-64e5e5865892/.gitconfig'
2025-10-10T00:33:54.3734482Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/24a5e0dc-3bce-43b5-bc78-64e5e5865892' before making global git config changes
2025-10-10T00:33:54.3735348Z Adding repository directory to the temporary git global config as a safe directory
2025-10-10T00:33:54.3736392Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:33:54.3771538Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-10-10T00:33:54.3773006Z ##[group]Initializing the repository
2025-10-10T00:33:54.3776198Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:33:54.3808182Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-10-10T00:33:54.3808673Z hint: is subject to change. To configure the initial branch name to use in all
2025-10-10T00:33:54.3809036Z hint: of your new repositories, which will suppress this warning, call:
2025-10-10T00:33:54.3809305Z hint:
2025-10-10T00:33:54.3809533Z hint: 	git config --global init.defaultBranch <name>
2025-10-10T00:33:54.3809771Z hint:
2025-10-10T00:33:54.3809999Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-10-10T00:33:54.3810361Z hint: 'development'. The just-created branch can be renamed via this command:
2025-10-10T00:33:54.3810643Z hint:
2025-10-10T00:33:54.3810809Z hint: 	git branch -m <name>
2025-10-10T00:33:54.3811004Z hint:
2025-10-10T00:33:54.3811261Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-10-10T00:33:54.3811701Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-10-10T00:33:54.3818580Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-10-10T00:33:54.3840703Z ##[endgroup]
2025-10-10T00:33:54.3841082Z ##[group]Disabling automatic garbage collection
2025-10-10T00:33:54.3842995Z [command]/usr/bin/git config --local gc.auto 0
2025-10-10T00:33:54.3870742Z ##[endgroup]
2025-10-10T00:33:54.3871073Z ##[group]Setting up auth
2025-10-10T00:33:54.3876704Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-10-10T00:33:54.3901385Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-10-10T00:33:54.4205147Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-10-10T00:33:54.4231325Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-10-10T00:33:54.4525087Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-10-10T00:33:54.4568646Z ##[endgroup]
2025-10-10T00:33:54.4569235Z ##[group]Fetching the repository
2025-10-10T00:33:54.4576393Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-10-10T00:34:42.6050769Z From https://github.com/pytorch/pytorch
2025-10-10T00:34:42.6053764Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-10-10T00:34:42.6054403Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-10-10T00:34:42.6055051Z  * [new branch]              BootcampDynamo              -> origin/BootcampDynamo
2025-10-10T00:34:42.6055428Z  * [new branch]              DynamoFixGit                -> origin/DynamoFixGit
2025-10-10T00:34:42.6059390Z  * [new branch]              DynamoVariaT                -> origin/DynamoVariaT
2025-10-10T00:34:42.6059894Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-10-10T00:34:42.6060300Z  * [new branch]              ISSUE-154849                -> origin/ISSUE-154849
2025-10-10T00:34:42.6060658Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-10-10T00:34:42.6061050Z  * [new branch]              IvanKobzarev/stack/2        -> origin/IvanKobzarev/stack/2
2025-10-10T00:34:42.6061945Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-10-10T00:34:42.6062360Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-10-10T00:34:42.6062767Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-10-10T00:34:42.6063159Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-10-10T00:34:42.6063630Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-10-10T00:34:42.6064004Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-10-10T00:34:42.6064372Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-10-10T00:34:42.6064727Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-10-10T00:34:42.6065111Z  * [new branch]              actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor
2025-10-10T00:34:42.6065541Z  * [new branch]              add_compile_benchmarking    -> origin/add_compile_benchmarking
2025-10-10T00:34:42.6065892Z  * [new branch]              add_op_tests                -> origin/add_op_tests
2025-10-10T00:34:42.6066447Z  * [new branch]              add_op_to_dashboard         -> origin/add_op_to_dashboard
2025-10-10T00:34:42.6066807Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-10-10T00:34:42.6067199Z  * [new branch]              addremovefunction           -> origin/addremovefunction
2025-10-10T00:34:42.6067572Z  * [new branch]              addvllmtest                 -> origin/addvllmtest
2025-10-10T00:34:42.6067949Z  * [new branch]              adi/test                    -> origin/adi/test
2025-10-10T00:34:42.6068256Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-10-10T00:34:42.6068576Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-10-10T00:34:42.6068896Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-10-10T00:34:42.6069361Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-10-10T00:34:42.6069707Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-10-10T00:34:42.6070041Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-10-10T00:34:42.6070510Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-10-10T00:34:42.6070886Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-10-10T00:34:42.6071282Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-10-10T00:34:42.6071642Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-10-10T00:34:42.6072024Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-10-10T00:34:42.6072442Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-10-10T00:34:42.6072803Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-10-10T00:34:42.6073171Z  * [new branch]              angelayi/benchmark3         -> origin/angelayi/benchmark3
2025-10-10T00:34:42.6074037Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-10-10T00:34:42.6074565Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-10-10T00:34:42.6075369Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-10-10T00:34:42.6075960Z  * [new branch]              angelayi/fix_mps            -> origin/angelayi/fix_mps
2025-10-10T00:34:42.6076570Z  * [new branch]              angelayi/lint               -> origin/angelayi/lint
2025-10-10T00:34:42.6077922Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-10-10T00:34:42.6078567Z  * [new branch]              angelayi/opaque_obj_v2      -> origin/angelayi/opaque_obj_v2
2025-10-10T00:34:42.6078972Z  * [new branch]              angelayi/pattern            -> origin/angelayi/pattern
2025-10-10T00:34:42.6079823Z  * [new branch]              angelayi/pattern_in_out_2   -> origin/angelayi/pattern_in_out_2
2025-10-10T00:34:42.6080555Z  * [new branch]              angelayi/post_grad          -> origin/angelayi/post_grad
2025-10-10T00:34:42.6081462Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-10-10T00:34:42.6082002Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-10-10T00:34:42.6082847Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
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2025-10-10T00:34:43.0621769Z  * [new branch]              xmfan/ca_jan3               -> origin/xmfan/ca_jan3
2025-10-10T00:34:43.0622093Z  * [new branch]              xmfan/ca_jun18              -> origin/xmfan/ca_jun18
2025-10-10T00:34:43.0622733Z  * [new branch]              xmfan/ca_jun24              -> origin/xmfan/ca_jun24
2025-10-10T00:34:43.0623432Z  * [new branch]              xmfan/ca_mem_base           -> origin/xmfan/ca_mem_base
2025-10-10T00:34:43.0624981Z  * [new branch]              xmfan/ca_mem_fix            -> origin/xmfan/ca_mem_fix
2025-10-10T00:34:43.0625351Z  * [new branch]              xmfan/ca_move_to_cuda       -> origin/xmfan/ca_move_to_cuda
2025-10-10T00:34:43.0626536Z  * [new branch]              xmfan/ca_nested             -> origin/xmfan/ca_nested
2025-10-10T00:34:43.0626882Z  * [new branch]              xmfan/ca_overhead           -> origin/xmfan/ca_overhead
2025-10-10T00:34:43.0627657Z  * [new branch]              xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451
2025-10-10T00:34:43.0628347Z  * [new branch]              xmfan/ca_scalar             -> origin/xmfan/ca_scalar
2025-10-10T00:34:43.0628790Z  * [new branch]              xmfan/ca_subclass_mem_fix   -> origin/xmfan/ca_subclass_mem_fix
2025-10-10T00:34:43.0629310Z  * [new branch]              xmfan/ca_warm_mem           -> origin/xmfan/ca_warm_mem
2025-10-10T00:34:43.0633255Z  * [new branch]              xmfan/ca_warm_mem_base      -> origin/xmfan/ca_warm_mem_base
2025-10-10T00:34:43.0636793Z  * [new branch]              xmfan/cacu_jun18            -> origin/xmfan/cacu_jun18
2025-10-10T00:34:43.0641779Z  * [new branch]              xmfan/cacu_jun19            -> origin/xmfan/cacu_jun19
2025-10-10T00:34:43.0646172Z  * [new branch]              xmfan/cacu_jun4             -> origin/xmfan/cacu_jun4
2025-10-10T00:34:43.0650377Z  * [new branch]              xmfan/cacu_may27            -> origin/xmfan/cacu_may27
2025-10-10T00:34:43.0654481Z  * [new branch]              xmfan/disable_duck_shape    -> origin/xmfan/disable_duck_shape
2025-10-10T00:34:43.0659557Z  * [new branch]              xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough
2025-10-10T00:34:43.0661479Z  * [new branch]              xmfan/issue_123374          -> origin/xmfan/issue_123374
2025-10-10T00:34:43.0661787Z  * [new branch]              xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9
2025-10-10T00:34:43.0662064Z  * [new branch]              xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9
2025-10-10T00:34:43.0662214Z  * [new branch]              xmfan/single_step           -> origin/xmfan/single_step
2025-10-10T00:34:43.0662371Z  * [new branch]              xmfan/sth_0829              -> origin/xmfan/sth_0829
2025-10-10T00:34:43.0662496Z  * [new branch]              xmfan/test                  -> origin/xmfan/test
2025-10-10T00:34:43.0662679Z  * [new branch]              yguo/debug-0226-constexpr   -> origin/yguo/debug-0226-constexpr
2025-10-10T00:34:43.0662972Z  * [new branch]              yguo/new_latest_changes     -> origin/yguo/new_latest_changes
2025-10-10T00:34:43.0663166Z  * [new branch]              yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes
2025-10-10T00:34:43.0663313Z  * [new branch]              yihan_quantization          -> origin/yihan_quantization
2025-10-10T00:34:43.0663454Z  * [new branch]              yiming/bootcamp             -> origin/yiming/bootcamp
2025-10-10T00:34:43.0663657Z  * [new branch]              yiming/improve_sharding_error_msg -> origin/yiming/improve_sharding_error_msg
2025-10-10T00:34:43.0663830Z  * [new branch]              yiming/precompile_benchmark -> origin/yiming/precompile_benchmark
2025-10-10T00:34:43.0663971Z  * [new branch]              yolo-llama3                 -> origin/yolo-llama3
2025-10-10T00:34:43.0664223Z  * [new branch]              ysiraichi/install-fmtlib-headers-v12 -> origin/ysiraichi/install-fmtlib-headers-v12
2025-10-10T00:34:43.0664382Z  * [new branch]              zainr/canary-test           -> origin/zainr/canary-test
2025-10-10T00:34:43.0664566Z  * [new branch]              zainr/cleanup-gh-runners    -> origin/zainr/cleanup-gh-runners
2025-10-10T00:34:43.0664740Z  * [new branch]              zainr/pull-migration-c      -> origin/zainr/pull-migration-c
2025-10-10T00:34:43.0664868Z  * [new branch]              zainr/test2                 -> origin/zainr/test2
2025-10-10T00:34:43.0665006Z  * [new branch]              zainr/unstable              -> origin/zainr/unstable
2025-10-10T00:34:43.0665165Z  * [new branch]              zasdfgbnm-patch-3           -> origin/zasdfgbnm-patch-3
2025-10-10T00:34:43.0665283Z  * [new branch]              zb2p                        -> origin/zb2p
2025-10-10T00:34:43.0665457Z  * [new branch]              zeros-and-scatter-part2     -> origin/zeros-and-scatter-part2
2025-10-10T00:34:43.0665704Z  * [new branch]              zhxchen17/aot_compile_fix_load_guard_manager -> origin/zhxchen17/aot_compile_fix_load_guard_manager
2025-10-10T00:34:43.0665904Z  * [new branch]              zhxchen17/precompile/source_info -> origin/zhxchen17/precompile/source_info
2025-10-10T00:34:43.0666251Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-10-10T00:34:43.0666408Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-10-10T00:34:43.0666626Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-10-10T00:34:43.0666766Z  * [new branch]              zxiiro/c7i-docs             -> origin/zxiiro/c7i-docs
2025-10-10T00:34:43.0666936Z  * [new branch]              zxiiro/c7i-linux-4xlarge    -> origin/zxiiro/c7i-linux-4xlarge
2025-10-10T00:34:43.0667107Z  * [new branch]              zxiiro/c7i-linux-build-yaml -> origin/zxiiro/c7i-linux-build-yaml
2025-10-10T00:34:43.0667233Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-10-10T00:34:43.0667428Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-10-10T00:34:43.0667729Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-10-10T00:34:43.0667853Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-10-10T00:34:43.0667993Z  * [new tag]                 ciflow/b200-symm-mem/163767 -> ciflow/b200-symm-mem/163767
2025-10-10T00:34:43.0668116Z  * [new tag]                 ciflow/b200/163955          -> ciflow/b200/163955
2025-10-10T00:34:43.0668243Z  * [new tag]                 ciflow/binaries/157432      -> ciflow/binaries/157432
2025-10-10T00:34:43.0668377Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-10-10T00:34:43.0668505Z  * [new tag]                 ciflow/binaries/164769      -> ciflow/binaries/164769
2025-10-10T00:34:43.0668626Z  * [new tag]                 ciflow/binaries/164894      -> ciflow/binaries/164894
2025-10-10T00:34:43.0668850Z  * [new tag]                 ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432
2025-10-10T00:34:43.0668995Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-10-10T00:34:43.0669141Z  * [new tag]                 ciflow/binaries_wheel/159104 -> ciflow/binaries_wheel/159104
2025-10-10T00:34:43.0669279Z  * [new tag]                 ciflow/binaries_wheel/164935 -> ciflow/binaries_wheel/164935
2025-10-10T00:34:43.0669466Z  * [new tag]                 ciflow/h100-cutlass-backend/163767 -> ciflow/h100-cutlass-backend/163767
2025-10-10T00:34:43.0669646Z  * [new tag]                 ciflow/h100-cutlass-backend/164747 -> ciflow/h100-cutlass-backend/164747
2025-10-10T00:34:43.0670094Z  * [new tag]                 ciflow/h100-distributed/163767 -> ciflow/h100-distributed/163767
2025-10-10T00:34:43.0670355Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-10-10T00:34:43.0670892Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-10-10T00:34:43.0671528Z  * [new tag]                 ciflow/h100-symm-mem/163767 -> ciflow/h100-symm-mem/163767
2025-10-10T00:34:43.0672494Z  * [new tag]                 ciflow/h100-symm-mem/164747 -> ciflow/h100-symm-mem/164747
2025-10-10T00:34:43.0672643Z  * [new tag]                 ciflow/h100-symm-mem/164965 -> ciflow/h100-symm-mem/164965
2025-10-10T00:34:43.0672887Z  * [new tag]                 ciflow/h100-symm-mem/165101 -> ciflow/h100-symm-mem/165101
2025-10-10T00:34:43.0673407Z  * [new tag]                 ciflow/h100/163955          -> ciflow/h100/163955
2025-10-10T00:34:43.0673825Z  * [new tag]                 ciflow/h100/164474          -> ciflow/h100/164474
2025-10-10T00:34:43.0674707Z  * [new tag]                 ciflow/h100/164705          -> ciflow/h100/164705
2025-10-10T00:34:43.0674927Z  * [new tag]                 ciflow/h100/164790          -> ciflow/h100/164790
2025-10-10T00:34:43.0678108Z  * [new tag]                 ciflow/h100/164930          -> ciflow/h100/164930
2025-10-10T00:34:43.0678243Z  * [new tag]                 ciflow/h100/165055          -> ciflow/h100/165055
2025-10-10T00:34:43.0678493Z  * [new tag]                 ciflow/inductor-micro-benchmark/164747 -> ciflow/inductor-micro-benchmark/164747
2025-10-10T00:34:43.0678708Z  * [new tag]                 ciflow/inductor-perf-compare/163767 -> ciflow/inductor-perf-compare/163767
2025-10-10T00:34:43.0679062Z  * [new tag]                 ciflow/inductor-perf-compare/164747 -> ciflow/inductor-perf-compare/164747
2025-10-10T00:34:43.0679332Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-10-10T00:34:43.0679590Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/164747 -> ciflow/inductor-perf-test-nightly-rocm/164747
2025-10-10T00:34:43.0685880Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512
2025-10-10T00:34:43.0686223Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/162954 -> ciflow/inductor-perf-test-nightly-x86-zen/162954
2025-10-10T00:34:43.0686519Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/163767 -> ciflow/inductor-perf-test-nightly-x86-zen/163767
2025-10-10T00:34:43.0686773Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164126 -> ciflow/inductor-perf-test-nightly-x86-zen/164126
2025-10-10T00:34:43.0687062Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164747 -> ciflow/inductor-perf-test-nightly-x86-zen/164747
2025-10-10T00:34:43.0687418Z  * [new tag]                 ciflow/inductor-periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> ciflow/inductor-periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:34:43.0687601Z  * [new tag]                 ciflow/inductor-periodic/156592 -> ciflow/inductor-periodic/156592
2025-10-10T00:34:43.0687926Z  * [new tag]                 ciflow/inductor-periodic/164492 -> ciflow/inductor-periodic/164492
2025-10-10T00:34:43.0688292Z  * [new tag]                 ciflow/inductor-periodic/73adac05d13babb75410c3e033fdce57aa16881a -> ciflow/inductor-periodic/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:34:43.0688447Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-10-10T00:34:43.0688586Z  * [new tag]                 ciflow/inductor-rocm/161280 -> ciflow/inductor-rocm/161280
2025-10-10T00:34:43.0688749Z  * [new tag]                 ciflow/inductor-rocm/162478 -> ciflow/inductor-rocm/162478
2025-10-10T00:34:43.0688897Z  * [new tag]                 ciflow/inductor-rocm/163767 -> ciflow/inductor-rocm/163767
2025-10-10T00:34:43.0689049Z  * [new tag]                 ciflow/inductor-rocm/164618 -> ciflow/inductor-rocm/164618
2025-10-10T00:34:43.0689186Z  * [new tag]                 ciflow/inductor-rocm/164747 -> ciflow/inductor-rocm/164747
2025-10-10T00:34:43.0689334Z  * [new tag]                 ciflow/inductor-rocm/164769 -> ciflow/inductor-rocm/164769
2025-10-10T00:34:43.0691287Z  * [new tag]                 ciflow/inductor-rocm/165080 -> ciflow/inductor-rocm/165080
2025-10-10T00:34:43.0691647Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-10-10T00:34:43.0691792Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-10-10T00:34:43.0691941Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-10-10T00:34:43.0692066Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-10-10T00:34:43.0692198Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-10-10T00:34:43.0692317Z  * [new tag]                 ciflow/inductor/149003      -> ciflow/inductor/149003
2025-10-10T00:34:43.0692443Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-10-10T00:34:43.0692572Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-10-10T00:34:43.0692692Z  * [new tag]                 ciflow/inductor/156592      -> ciflow/inductor/156592
2025-10-10T00:34:43.0692822Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-10-10T00:34:43.0692949Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-10-10T00:34:43.0698422Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-10-10T00:34:43.0698830Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-10-10T00:34:43.0698969Z  * [new tag]                 ciflow/inductor/158872      -> ciflow/inductor/158872
2025-10-10T00:34:43.0699105Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-10-10T00:34:43.0699233Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-10-10T00:34:43.0699365Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-10-10T00:34:43.0699496Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-10-10T00:34:43.0699625Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-10-10T00:34:43.0699746Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-10-10T00:34:43.0699867Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-10-10T00:34:43.0700000Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-10-10T00:34:43.0700124Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-10-10T00:34:43.0700262Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-10-10T00:34:43.0700384Z  * [new tag]                 ciflow/inductor/160843      -> ciflow/inductor/160843
2025-10-10T00:34:43.0700556Z  * [new tag]                 ciflow/inductor/160903      -> ciflow/inductor/160903
2025-10-10T00:34:43.0700918Z  * [new tag]                 ciflow/inductor/161118      -> ciflow/inductor/161118
2025-10-10T00:34:43.0701166Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-10-10T00:34:43.0701312Z  * [new tag]                 ciflow/inductor/161280      -> ciflow/inductor/161280
2025-10-10T00:34:43.0703297Z  * [new tag]                 ciflow/inductor/161320      -> ciflow/inductor/161320
2025-10-10T00:34:43.0703636Z  * [new tag]                 ciflow/inductor/161485      -> ciflow/inductor/161485
2025-10-10T00:34:43.0703805Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-10-10T00:34:43.0704018Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-10-10T00:34:43.0704172Z  * [new tag]                 ciflow/inductor/162031      -> ciflow/inductor/162031
2025-10-10T00:34:43.0704660Z  * [new tag]                 ciflow/inductor/162066      -> ciflow/inductor/162066
2025-10-10T00:34:43.0705149Z  * [new tag]                 ciflow/inductor/162294      -> ciflow/inductor/162294
2025-10-10T00:34:43.0706469Z  * [new tag]                 ciflow/inductor/162340      -> ciflow/inductor/162340
2025-10-10T00:34:43.0706633Z  * [new tag]                 ciflow/inductor/162470      -> ciflow/inductor/162470
2025-10-10T00:34:43.0710230Z  * [new tag]                 ciflow/inductor/162523      -> ciflow/inductor/162523
2025-10-10T00:34:43.0710435Z  * [new tag]                 ciflow/inductor/162542      -> ciflow/inductor/162542
2025-10-10T00:34:43.0710578Z  * [new tag]                 ciflow/inductor/162768      -> ciflow/inductor/162768
2025-10-10T00:34:43.0710717Z  * [new tag]                 ciflow/inductor/162899      -> ciflow/inductor/162899
2025-10-10T00:34:43.0710845Z  * [new tag]                 ciflow/inductor/162900      -> ciflow/inductor/162900
2025-10-10T00:34:43.0710981Z  * [new tag]                 ciflow/inductor/162901      -> ciflow/inductor/162901
2025-10-10T00:34:43.0711117Z  * [new tag]                 ciflow/inductor/162903      -> ciflow/inductor/162903
2025-10-10T00:34:43.0711252Z  * [new tag]                 ciflow/inductor/162905      -> ciflow/inductor/162905
2025-10-10T00:34:43.0711392Z  * [new tag]                 ciflow/inductor/162954      -> ciflow/inductor/162954
2025-10-10T00:34:43.0711866Z  * [new tag]                 ciflow/inductor/162990      -> ciflow/inductor/162990
2025-10-10T00:34:43.0712312Z  * [new tag]                 ciflow/inductor/163027      -> ciflow/inductor/163027
2025-10-10T00:34:43.0712818Z  * [new tag]                 ciflow/inductor/163028      -> ciflow/inductor/163028
2025-10-10T00:34:43.0713314Z  * [new tag]                 ciflow/inductor/163053      -> ciflow/inductor/163053
2025-10-10T00:34:43.0713837Z  * [new tag]                 ciflow/inductor/163185      -> ciflow/inductor/163185
2025-10-10T00:34:43.0714266Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-10-10T00:34:43.0714743Z  * [new tag]                 ciflow/inductor/163490      -> ciflow/inductor/163490
2025-10-10T00:34:43.0715227Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-10-10T00:34:43.0718929Z  * [new tag]                 ciflow/inductor/163517      -> ciflow/inductor/163517
2025-10-10T00:34:43.0719099Z  * [new tag]                 ciflow/inductor/163527      -> ciflow/inductor/163527
2025-10-10T00:34:43.0719254Z  * [new tag]                 ciflow/inductor/163533      -> ciflow/inductor/163533
2025-10-10T00:34:43.0719382Z  * [new tag]                 ciflow/inductor/163602      -> ciflow/inductor/163602
2025-10-10T00:34:43.0719510Z  * [new tag]                 ciflow/inductor/163617      -> ciflow/inductor/163617
2025-10-10T00:34:43.0719645Z  * [new tag]                 ciflow/inductor/163667      -> ciflow/inductor/163667
2025-10-10T00:34:43.0719776Z  * [new tag]                 ciflow/inductor/163671      -> ciflow/inductor/163671
2025-10-10T00:34:43.0720244Z  * [new tag]                 ciflow/inductor/163767      -> ciflow/inductor/163767
2025-10-10T00:34:43.0720514Z  * [new tag]                 ciflow/inductor/163772      -> ciflow/inductor/163772
2025-10-10T00:34:43.0720674Z  * [new tag]                 ciflow/inductor/163806      -> ciflow/inductor/163806
2025-10-10T00:34:43.0720918Z  * [new tag]                 ciflow/inductor/163936      -> ciflow/inductor/163936
2025-10-10T00:34:43.0721696Z  * [new tag]                 ciflow/inductor/163976      -> ciflow/inductor/163976
2025-10-10T00:34:43.0722046Z  * [new tag]                 ciflow/inductor/164039      -> ciflow/inductor/164039
2025-10-10T00:34:43.0724912Z  * [new tag]                 ciflow/inductor/164040      -> ciflow/inductor/164040
2025-10-10T00:34:43.0725235Z  * [new tag]                 ciflow/inductor/164130      -> ciflow/inductor/164130
2025-10-10T00:34:43.0725385Z  * [new tag]                 ciflow/inductor/164144      -> ciflow/inductor/164144
2025-10-10T00:34:43.0725618Z  * [new tag]                 ciflow/inductor/164202      -> ciflow/inductor/164202
2025-10-10T00:34:43.0725766Z  * [new tag]                 ciflow/inductor/164212      -> ciflow/inductor/164212
2025-10-10T00:34:43.0725961Z  * [new tag]                 ciflow/inductor/164273      -> ciflow/inductor/164273
2025-10-10T00:34:43.0726199Z  * [new tag]                 ciflow/inductor/164277      -> ciflow/inductor/164277
2025-10-10T00:34:43.0726393Z  * [new tag]                 ciflow/inductor/164291      -> ciflow/inductor/164291
2025-10-10T00:34:43.0726574Z  * [new tag]                 ciflow/inductor/164296      -> ciflow/inductor/164296
2025-10-10T00:34:43.0727214Z  * [new tag]                 ciflow/inductor/164304      -> ciflow/inductor/164304
2025-10-10T00:34:43.0727584Z  * [new tag]                 ciflow/inductor/164318      -> ciflow/inductor/164318
2025-10-10T00:34:43.0731097Z  * [new tag]                 ciflow/inductor/164321      -> ciflow/inductor/164321
2025-10-10T00:34:43.0731421Z  * [new tag]                 ciflow/inductor/164324      -> ciflow/inductor/164324
2025-10-10T00:34:43.0731589Z  * [new tag]                 ciflow/inductor/164341      -> ciflow/inductor/164341
2025-10-10T00:34:43.0731725Z  * [new tag]                 ciflow/inductor/164343      -> ciflow/inductor/164343
2025-10-10T00:34:43.0731852Z  * [new tag]                 ciflow/inductor/164344      -> ciflow/inductor/164344
2025-10-10T00:34:43.0732111Z  * [new tag]                 ciflow/inductor/164359      -> ciflow/inductor/164359
2025-10-10T00:34:43.0732964Z  * [new tag]                 ciflow/inductor/164373      -> ciflow/inductor/164373
2025-10-10T00:34:43.0733125Z  * [new tag]                 ciflow/inductor/164379      -> ciflow/inductor/164379
2025-10-10T00:34:43.0733724Z  * [new tag]                 ciflow/inductor/164384      -> ciflow/inductor/164384
2025-10-10T00:34:43.0733865Z  * [new tag]                 ciflow/inductor/164404      -> ciflow/inductor/164404
2025-10-10T00:34:43.0734009Z  * [new tag]                 ciflow/inductor/164405      -> ciflow/inductor/164405
2025-10-10T00:34:43.0734142Z  * [new tag]                 ciflow/inductor/164414      -> ciflow/inductor/164414
2025-10-10T00:34:43.0734272Z  * [new tag]                 ciflow/inductor/164422      -> ciflow/inductor/164422
2025-10-10T00:34:43.0734609Z  * [new tag]                 ciflow/inductor/164433      -> ciflow/inductor/164433
2025-10-10T00:34:43.0735555Z  * [new tag]                 ciflow/inductor/164474      -> ciflow/inductor/164474
2025-10-10T00:34:43.0735702Z  * [new tag]                 ciflow/inductor/164488      -> ciflow/inductor/164488
2025-10-10T00:34:43.0736120Z  * [new tag]                 ciflow/inductor/164492      -> ciflow/inductor/164492
2025-10-10T00:34:43.0736580Z  * [new tag]                 ciflow/inductor/164497      -> ciflow/inductor/164497
2025-10-10T00:34:43.0738527Z  * [new tag]                 ciflow/inductor/164498      -> ciflow/inductor/164498
2025-10-10T00:34:43.0738848Z  * [new tag]                 ciflow/inductor/164500      -> ciflow/inductor/164500
2025-10-10T00:34:43.0739149Z  * [new tag]                 ciflow/inductor/164507      -> ciflow/inductor/164507
2025-10-10T00:34:43.0739417Z  * [new tag]                 ciflow/inductor/164519      -> ciflow/inductor/164519
2025-10-10T00:34:43.0739743Z  * [new tag]                 ciflow/inductor/164521      -> ciflow/inductor/164521
2025-10-10T00:34:43.0739946Z  * [new tag]                 ciflow/inductor/164522      -> ciflow/inductor/164522
2025-10-10T00:34:43.0740730Z  * [new tag]                 ciflow/inductor/164523      -> ciflow/inductor/164523
2025-10-10T00:34:43.0741027Z  * [new tag]                 ciflow/inductor/164524      -> ciflow/inductor/164524
2025-10-10T00:34:43.0741862Z  * [new tag]                 ciflow/inductor/164525      -> ciflow/inductor/164525
2025-10-10T00:34:43.0742175Z  * [new tag]                 ciflow/inductor/164526      -> ciflow/inductor/164526
2025-10-10T00:34:43.0743511Z  * [new tag]                 ciflow/inductor/164527      -> ciflow/inductor/164527
2025-10-10T00:34:43.0743755Z  * [new tag]                 ciflow/inductor/164533      -> ciflow/inductor/164533
2025-10-10T00:34:43.0743888Z  * [new tag]                 ciflow/inductor/164537      -> ciflow/inductor/164537
2025-10-10T00:34:43.0744095Z  * [new tag]                 ciflow/inductor/164548      -> ciflow/inductor/164548
2025-10-10T00:34:43.0744676Z  * [new tag]                 ciflow/inductor/164557      -> ciflow/inductor/164557
2025-10-10T00:34:43.0745104Z  * [new tag]                 ciflow/inductor/164558      -> ciflow/inductor/164558
2025-10-10T00:34:43.0745857Z  * [new tag]                 ciflow/inductor/164560      -> ciflow/inductor/164560
2025-10-10T00:34:43.0746275Z  * [new tag]                 ciflow/inductor/164565      -> ciflow/inductor/164565
2025-10-10T00:34:43.0746779Z  * [new tag]                 ciflow/inductor/164577      -> ciflow/inductor/164577
2025-10-10T00:34:43.0747452Z  * [new tag]                 ciflow/inductor/164609      -> ciflow/inductor/164609
2025-10-10T00:34:43.0748476Z  * [new tag]                 ciflow/inductor/164610      -> ciflow/inductor/164610
2025-10-10T00:34:43.0748733Z  * [new tag]                 ciflow/inductor/164611      -> ciflow/inductor/164611
2025-10-10T00:34:43.0748874Z  * [new tag]                 ciflow/inductor/164612      -> ciflow/inductor/164612
2025-10-10T00:34:43.0749580Z  * [new tag]                 ciflow/inductor/164613      -> ciflow/inductor/164613
2025-10-10T00:34:43.0750424Z  * [new tag]                 ciflow/inductor/164614      -> ciflow/inductor/164614
2025-10-10T00:34:43.0750717Z  * [new tag]                 ciflow/inductor/164623      -> ciflow/inductor/164623
2025-10-10T00:34:43.0750863Z  * [new tag]                 ciflow/inductor/164626      -> ciflow/inductor/164626
2025-10-10T00:34:43.0751906Z  * [new tag]                 ciflow/inductor/164628      -> ciflow/inductor/164628
2025-10-10T00:34:43.0752262Z  * [new tag]                 ciflow/inductor/164631      -> ciflow/inductor/164631
2025-10-10T00:34:43.0752491Z  * [new tag]                 ciflow/inductor/164632      -> ciflow/inductor/164632
2025-10-10T00:34:43.0753902Z  * [new tag]                 ciflow/inductor/164633      -> ciflow/inductor/164633
2025-10-10T00:34:43.0754034Z  * [new tag]                 ciflow/inductor/164640      -> ciflow/inductor/164640
2025-10-10T00:34:43.0754168Z  * [new tag]                 ciflow/inductor/164641      -> ciflow/inductor/164641
2025-10-10T00:34:43.0754654Z  * [new tag]                 ciflow/inductor/164645      -> ciflow/inductor/164645
2025-10-10T00:34:43.0755132Z  * [new tag]                 ciflow/inductor/164648      -> ciflow/inductor/164648
2025-10-10T00:34:43.0756431Z  * [new tag]                 ciflow/inductor/164653      -> ciflow/inductor/164653
2025-10-10T00:34:43.0756593Z  * [new tag]                 ciflow/inductor/164655      -> ciflow/inductor/164655
2025-10-10T00:34:43.0756873Z  * [new tag]                 ciflow/inductor/164657      -> ciflow/inductor/164657
2025-10-10T00:34:43.0757711Z  * [new tag]                 ciflow/inductor/164659      -> ciflow/inductor/164659
2025-10-10T00:34:43.0757940Z  * [new tag]                 ciflow/inductor/164669      -> ciflow/inductor/164669
2025-10-10T00:34:43.0760162Z  * [new tag]                 ciflow/inductor/164690      -> ciflow/inductor/164690
2025-10-10T00:34:43.0760341Z  * [new tag]                 ciflow/inductor/164691      -> ciflow/inductor/164691
2025-10-10T00:34:43.0760484Z  * [new tag]                 ciflow/inductor/164692      -> ciflow/inductor/164692
2025-10-10T00:34:43.0760690Z  * [new tag]                 ciflow/inductor/164711      -> ciflow/inductor/164711
2025-10-10T00:34:43.0760820Z  * [new tag]                 ciflow/inductor/164714      -> ciflow/inductor/164714
2025-10-10T00:34:43.0761059Z  * [new tag]                 ciflow/inductor/164717      -> ciflow/inductor/164717
2025-10-10T00:34:43.0761510Z  * [new tag]                 ciflow/inductor/164718      -> ciflow/inductor/164718
2025-10-10T00:34:43.0763908Z  * [new tag]                 ciflow/inductor/164723      -> ciflow/inductor/164723
2025-10-10T00:34:43.0764155Z  * [new tag]                 ciflow/inductor/164724      -> ciflow/inductor/164724
2025-10-10T00:34:43.0764294Z  * [new tag]                 ciflow/inductor/164734      -> ciflow/inductor/164734
2025-10-10T00:34:43.0764415Z  * [new tag]                 ciflow/inductor/164740      -> ciflow/inductor/164740
2025-10-10T00:34:43.0764562Z  * [new tag]                 ciflow/inductor/164746      -> ciflow/inductor/164746
2025-10-10T00:34:43.0765023Z  * [new tag]                 ciflow/inductor/164747      -> ciflow/inductor/164747
2025-10-10T00:34:43.0767030Z  * [new tag]                 ciflow/inductor/164776      -> ciflow/inductor/164776
2025-10-10T00:34:43.0767200Z  * [new tag]                 ciflow/inductor/164778      -> ciflow/inductor/164778
2025-10-10T00:34:43.0767336Z  * [new tag]                 ciflow/inductor/164780      -> ciflow/inductor/164780
2025-10-10T00:34:43.0767466Z  * [new tag]                 ciflow/inductor/164794      -> ciflow/inductor/164794
2025-10-10T00:34:43.0772139Z  * [new tag]                 ciflow/inductor/164802      -> ciflow/inductor/164802
2025-10-10T00:34:43.0772322Z  * [new tag]                 ciflow/inductor/164806      -> ciflow/inductor/164806
2025-10-10T00:34:43.0772457Z  * [new tag]                 ciflow/inductor/164808      -> ciflow/inductor/164808
2025-10-10T00:34:43.0772599Z  * [new tag]                 ciflow/inductor/164810      -> ciflow/inductor/164810
2025-10-10T00:34:43.0772905Z  * [new tag]                 ciflow/inductor/164811      -> ciflow/inductor/164811
2025-10-10T00:34:43.0773041Z  * [new tag]                 ciflow/inductor/164812      -> ciflow/inductor/164812
2025-10-10T00:34:43.0773167Z  * [new tag]                 ciflow/inductor/164819      -> ciflow/inductor/164819
2025-10-10T00:34:43.0773293Z  * [new tag]                 ciflow/inductor/164820      -> ciflow/inductor/164820
2025-10-10T00:34:43.0773430Z  * [new tag]                 ciflow/inductor/164821      -> ciflow/inductor/164821
2025-10-10T00:34:43.0773559Z  * [new tag]                 ciflow/inductor/164839      -> ciflow/inductor/164839
2025-10-10T00:34:43.0778273Z  * [new tag]                 ciflow/inductor/164842      -> ciflow/inductor/164842
2025-10-10T00:34:43.0778440Z  * [new tag]                 ciflow/inductor/164847      -> ciflow/inductor/164847
2025-10-10T00:34:43.0778582Z  * [new tag]                 ciflow/inductor/164852      -> ciflow/inductor/164852
2025-10-10T00:34:43.0778744Z  * [new tag]                 ciflow/inductor/164863      -> ciflow/inductor/164863
2025-10-10T00:34:43.0778874Z  * [new tag]                 ciflow/inductor/164865      -> ciflow/inductor/164865
2025-10-10T00:34:43.0779009Z  * [new tag]                 ciflow/inductor/164866      -> ciflow/inductor/164866
2025-10-10T00:34:43.0779139Z  * [new tag]                 ciflow/inductor/164867      -> ciflow/inductor/164867
2025-10-10T00:34:43.0779276Z  * [new tag]                 ciflow/inductor/164869      -> ciflow/inductor/164869
2025-10-10T00:34:43.0779575Z  * [new tag]                 ciflow/inductor/164873      -> ciflow/inductor/164873
2025-10-10T00:34:43.0779718Z  * [new tag]                 ciflow/inductor/164889      -> ciflow/inductor/164889
2025-10-10T00:34:43.0779846Z  * [new tag]                 ciflow/inductor/164897      -> ciflow/inductor/164897
2025-10-10T00:34:43.0779973Z  * [new tag]                 ciflow/inductor/164902      -> ciflow/inductor/164902
2025-10-10T00:34:43.0780113Z  * [new tag]                 ciflow/inductor/164903      -> ciflow/inductor/164903
2025-10-10T00:34:43.0780251Z  * [new tag]                 ciflow/inductor/164906      -> ciflow/inductor/164906
2025-10-10T00:34:43.0780382Z  * [new tag]                 ciflow/inductor/164914      -> ciflow/inductor/164914
2025-10-10T00:34:43.0780523Z  * [new tag]                 ciflow/inductor/164919      -> ciflow/inductor/164919
2025-10-10T00:34:43.0780663Z  * [new tag]                 ciflow/inductor/164933      -> ciflow/inductor/164933
2025-10-10T00:34:43.0780803Z  * [new tag]                 ciflow/inductor/164938      -> ciflow/inductor/164938
2025-10-10T00:34:43.0780933Z  * [new tag]                 ciflow/inductor/164948      -> ciflow/inductor/164948
2025-10-10T00:34:43.0781370Z  * [new tag]                 ciflow/inductor/164956      -> ciflow/inductor/164956
2025-10-10T00:34:43.0781787Z  * [new tag]                 ciflow/inductor/164965      -> ciflow/inductor/164965
2025-10-10T00:34:43.0782351Z  * [new tag]                 ciflow/inductor/164978      -> ciflow/inductor/164978
2025-10-10T00:34:43.0782834Z  * [new tag]                 ciflow/inductor/164979      -> ciflow/inductor/164979
2025-10-10T00:34:43.0783339Z  * [new tag]                 ciflow/inductor/164980      -> ciflow/inductor/164980
2025-10-10T00:34:43.0785002Z  * [new tag]                 ciflow/inductor/164984      -> ciflow/inductor/164984
2025-10-10T00:34:43.0785448Z  * [new tag]                 ciflow/inductor/164989      -> ciflow/inductor/164989
2025-10-10T00:34:43.0786189Z  * [new tag]                 ciflow/inductor/164991      -> ciflow/inductor/164991
2025-10-10T00:34:43.0786956Z  * [new tag]                 ciflow/inductor/164992      -> ciflow/inductor/164992
2025-10-10T00:34:43.0787116Z  * [new tag]                 ciflow/inductor/164994      -> ciflow/inductor/164994
2025-10-10T00:34:43.0787251Z  * [new tag]                 ciflow/inductor/164999      -> ciflow/inductor/164999
2025-10-10T00:34:43.0787456Z  * [new tag]                 ciflow/inductor/165001      -> ciflow/inductor/165001
2025-10-10T00:34:43.0787589Z  * [new tag]                 ciflow/inductor/165005      -> ciflow/inductor/165005
2025-10-10T00:34:43.0788062Z  * [new tag]                 ciflow/inductor/165006      -> ciflow/inductor/165006
2025-10-10T00:34:43.0788521Z  * [new tag]                 ciflow/inductor/165010      -> ciflow/inductor/165010
2025-10-10T00:34:43.0789001Z  * [new tag]                 ciflow/inductor/165012      -> ciflow/inductor/165012
2025-10-10T00:34:43.0790420Z  * [new tag]                 ciflow/inductor/165017      -> ciflow/inductor/165017
2025-10-10T00:34:43.0790588Z  * [new tag]                 ciflow/inductor/165018      -> ciflow/inductor/165018
2025-10-10T00:34:43.0790873Z  * [new tag]                 ciflow/inductor/165024      -> ciflow/inductor/165024
2025-10-10T00:34:43.0791333Z  * [new tag]                 ciflow/inductor/165029      -> ciflow/inductor/165029
2025-10-10T00:34:43.0792275Z  * [new tag]                 ciflow/inductor/165030      -> ciflow/inductor/165030
2025-10-10T00:34:43.0792592Z  * [new tag]                 ciflow/inductor/165031      -> ciflow/inductor/165031
2025-10-10T00:34:43.0796629Z  * [new tag]                 ciflow/inductor/165033      -> ciflow/inductor/165033
2025-10-10T00:34:43.0796810Z  * [new tag]                 ciflow/inductor/165036      -> ciflow/inductor/165036
2025-10-10T00:34:43.0796941Z  * [new tag]                 ciflow/inductor/165037      -> ciflow/inductor/165037
2025-10-10T00:34:43.0797079Z  * [new tag]                 ciflow/inductor/165039      -> ciflow/inductor/165039
2025-10-10T00:34:43.0797423Z  * [new tag]                 ciflow/inductor/165047      -> ciflow/inductor/165047
2025-10-10T00:34:43.0797567Z  * [new tag]                 ciflow/inductor/165059      -> ciflow/inductor/165059
2025-10-10T00:34:43.0797696Z  * [new tag]                 ciflow/inductor/165063      -> ciflow/inductor/165063
2025-10-10T00:34:43.0797831Z  * [new tag]                 ciflow/inductor/165064      -> ciflow/inductor/165064
2025-10-10T00:34:43.0797976Z  * [new tag]                 ciflow/inductor/165066      -> ciflow/inductor/165066
2025-10-10T00:34:43.0798509Z  * [new tag]                 ciflow/inductor/165074      -> ciflow/inductor/165074
2025-10-10T00:34:43.0798871Z  * [new tag]                 ciflow/inductor/165076      -> ciflow/inductor/165076
2025-10-10T00:34:43.0799372Z  * [new tag]                 ciflow/inductor/165091      -> ciflow/inductor/165091
2025-10-10T00:34:43.0799847Z  * [new tag]                 ciflow/inductor/165092      -> ciflow/inductor/165092
2025-10-10T00:34:43.0800471Z  * [new tag]                 ciflow/inductor/165106      -> ciflow/inductor/165106
2025-10-10T00:34:43.0800881Z  * [new tag]                 ciflow/inductor/165107      -> ciflow/inductor/165107
2025-10-10T00:34:43.0804018Z  * [new tag]                 ciflow/inductor/165112      -> ciflow/inductor/165112
2025-10-10T00:34:43.0804186Z  * [new tag]                 ciflow/inductor/165113      -> ciflow/inductor/165113
2025-10-10T00:34:43.0804361Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-10-10T00:34:43.0804503Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-10-10T00:34:43.0804645Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-10-10T00:34:43.0805325Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-10-10T00:34:43.0805489Z  * [new tag]                 ciflow/linux-aarch64/163952 -> ciflow/linux-aarch64/163952
2025-10-10T00:34:43.0805680Z  * [new tag]                 ciflow/linux-aarch64/164965 -> ciflow/linux-aarch64/164965
2025-10-10T00:34:43.0806155Z  * [new tag]                 ciflow/linux-aarch64/165010 -> ciflow/linux-aarch64/165010
2025-10-10T00:34:43.0808232Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-10-10T00:34:43.0808413Z  * [new tag]                 ciflow/mps/157554           -> ciflow/mps/157554
2025-10-10T00:34:43.0808740Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-10-10T00:34:43.0808863Z  * [new tag]                 ciflow/mps/162340           -> ciflow/mps/162340
2025-10-10T00:34:43.0808981Z  * [new tag]                 ciflow/mps/164416           -> ciflow/mps/164416
2025-10-10T00:34:43.0809187Z  * [new tag]                 ciflow/mps/164571           -> ciflow/mps/164571
2025-10-10T00:34:43.0810545Z  * [new tag]                 ciflow/mps/164965           -> ciflow/mps/164965
2025-10-10T00:34:43.0810907Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-10-10T00:34:43.0811163Z  * [new tag]                 ciflow/nightly/164747       -> ciflow/nightly/164747
2025-10-10T00:34:43.0811304Z  * [new tag]                 ciflow/nightly/164901       -> ciflow/nightly/164901
2025-10-10T00:34:43.0811778Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-10-10T00:34:43.0812226Z  * [new tag]                 ciflow/op-benchmark/163767  -> ciflow/op-benchmark/163767
2025-10-10T00:34:43.0812660Z  * [new tag]                 ciflow/op-benchmark/164583  -> ciflow/op-benchmark/164583
2025-10-10T00:34:43.0813102Z  * [new tag]                 ciflow/op-benchmark/164747  -> ciflow/op-benchmark/164747
2025-10-10T00:34:43.0817171Z  * [new tag]                 ciflow/periodic-rocm-mi300/162478 -> ciflow/periodic-rocm-mi300/162478
2025-10-10T00:34:43.0822353Z  * [new tag]                 ciflow/periodic-rocm-mi300/163767 -> ciflow/periodic-rocm-mi300/163767
2025-10-10T00:34:43.0822888Z  * [new tag]                 ciflow/periodic-rocm-mi300/164618 -> ciflow/periodic-rocm-mi300/164618
2025-10-10T00:34:43.0823221Z  * [new tag]                 ciflow/periodic-rocm-mi300/164747 -> ciflow/periodic-rocm-mi300/164747
2025-10-10T00:34:43.0823496Z  * [new tag]                 ciflow/periodic-rocm-mi300/165011 -> ciflow/periodic-rocm-mi300/165011
2025-10-10T00:34:43.0824177Z  * [new tag]                 ciflow/periodic-rocm-mi300/165080 -> ciflow/periodic-rocm-mi300/165080
2025-10-10T00:34:43.0824376Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-10-10T00:34:43.0824710Z  * [new tag]                 ciflow/periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> ciflow/periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:34:43.0825035Z  * [new tag]                 ciflow/periodic/0ea59c3c55dab37a6edefcc7002bb1428afd6456 -> ciflow/periodic/0ea59c3c55dab37a6edefcc7002bb1428afd6456
2025-10-10T00:34:43.0825202Z  * [new tag]                 ciflow/periodic/156491      -> ciflow/periodic/156491
2025-10-10T00:34:43.0825338Z  * [new tag]                 ciflow/periodic/162990      -> ciflow/periodic/162990
2025-10-10T00:34:43.0825478Z  * [new tag]                 ciflow/periodic/163667      -> ciflow/periodic/163667
2025-10-10T00:34:43.0825606Z  * [new tag]                 ciflow/periodic/163767      -> ciflow/periodic/163767
2025-10-10T00:34:43.0825744Z  * [new tag]                 ciflow/periodic/164747      -> ciflow/periodic/164747
2025-10-10T00:34:43.0825869Z  * [new tag]                 ciflow/periodic/164769      -> ciflow/periodic/164769
2025-10-10T00:34:43.0826192Z  * [new tag]                 ciflow/periodic/165011      -> ciflow/periodic/165011
2025-10-10T00:34:43.0826536Z  * [new tag]                 ciflow/periodic/2a6cdba6e5f74c2294fecc2d1344537522efbaab -> ciflow/periodic/2a6cdba6e5f74c2294fecc2d1344537522efbaab
2025-10-10T00:34:43.0826673Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-10-10T00:34:43.0826822Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-10-10T00:34:43.0826960Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-10-10T00:34:43.0827102Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-10-10T00:34:43.0827413Z  * [new tag]                 ciflow/periodic/4bcc05777e780e834d44a2d06dd5321daec316f0 -> ciflow/periodic/4bcc05777e780e834d44a2d06dd5321daec316f0
2025-10-10T00:34:43.0827852Z  * [new tag]                 ciflow/periodic/73adac05d13babb75410c3e033fdce57aa16881a -> ciflow/periodic/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:34:43.0828196Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-10-10T00:34:43.0828501Z  * [new tag]                 ciflow/periodic/ac08556f674259ff5b117964e300124e8a92d45b -> ciflow/periodic/ac08556f674259ff5b117964e300124e8a92d45b
2025-10-10T00:34:43.0828797Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-10-10T00:34:43.0829361Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-10-10T00:34:43.0830344Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-10-10T00:34:43.0830497Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-10-10T00:34:43.0832911Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-10-10T00:34:43.0833215Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-10-10T00:34:43.0833534Z  * [new tag]                 ciflow/quantization-periodic/163767 -> ciflow/quantization-periodic/163767
2025-10-10T00:34:43.0833882Z  * [new tag]                 ciflow/quantization-periodic/164747 -> ciflow/quantization-periodic/164747
2025-10-10T00:34:43.0834144Z  * [new tag]                 ciflow/riscv64/163767       -> ciflow/riscv64/163767
2025-10-10T00:34:43.0834998Z  * [new tag]                 ciflow/riscv64/164747       -> ciflow/riscv64/164747
2025-10-10T00:34:43.0835185Z  * [new tag]                 ciflow/rocm-mi300/161280    -> ciflow/rocm-mi300/161280
2025-10-10T00:34:43.0835330Z  * [new tag]                 ciflow/rocm-mi300/162478    -> ciflow/rocm-mi300/162478
2025-10-10T00:34:43.0835782Z  * [new tag]                 ciflow/rocm-mi300/163767    -> ciflow/rocm-mi300/163767
2025-10-10T00:34:43.0836193Z  * [new tag]                 ciflow/rocm-mi300/163955    -> ciflow/rocm-mi300/163955
2025-10-10T00:34:43.0836553Z  * [new tag]                 ciflow/rocm-mi300/164618    -> ciflow/rocm-mi300/164618
2025-10-10T00:34:43.0837004Z  * [new tag]                 ciflow/rocm-mi300/164747    -> ciflow/rocm-mi300/164747
2025-10-10T00:34:43.0839812Z  * [new tag]                 ciflow/rocm-mi300/164927    -> ciflow/rocm-mi300/164927
2025-10-10T00:34:43.0840161Z  * [new tag]                 ciflow/rocm-mi300/164930    -> ciflow/rocm-mi300/164930
2025-10-10T00:34:43.0840328Z  * [new tag]                 ciflow/rocm-mi300/165026    -> ciflow/rocm-mi300/165026
2025-10-10T00:34:43.0840456Z  * [new tag]                 ciflow/rocm-mi300/165080    -> ciflow/rocm-mi300/165080
2025-10-10T00:34:43.0840727Z  * [new tag]                 ciflow/rocm-mi355/163767    -> ciflow/rocm-mi355/163767
2025-10-10T00:34:43.0840871Z  * [new tag]                 ciflow/rocm-mi355/164747    -> ciflow/rocm-mi355/164747
2025-10-10T00:34:43.0841221Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-10-10T00:34:43.0841587Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-10-10T00:34:43.0842002Z  * [new tag]                 ciflow/rocm/156592          -> ciflow/rocm/156592
2025-10-10T00:34:43.0842477Z  * [new tag]                 ciflow/rocm/161280          -> ciflow/rocm/161280
2025-10-10T00:34:43.0842886Z  * [new tag]                 ciflow/rocm/163767          -> ciflow/rocm/163767
2025-10-10T00:34:43.0844320Z  * [new tag]                 ciflow/rocm/163955          -> ciflow/rocm/163955
2025-10-10T00:34:43.0844936Z  * [new tag]                 ciflow/rocm/163965          -> ciflow/rocm/163965
2025-10-10T00:34:43.0845088Z  * [new tag]                 ciflow/rocm/164656          -> ciflow/rocm/164656
2025-10-10T00:34:43.0845438Z  * [new tag]                 ciflow/rocm/164747          -> ciflow/rocm/164747
2025-10-10T00:34:43.0845711Z  * [new tag]                 ciflow/rocm/164769          -> ciflow/rocm/164769
2025-10-10T00:34:43.0846206Z  * [new tag]                 ciflow/rocm/164927          -> ciflow/rocm/164927
2025-10-10T00:34:43.0849286Z  * [new tag]                 ciflow/rocm/164930          -> ciflow/rocm/164930
2025-10-10T00:34:43.0849590Z  * [new tag]                 ciflow/rocm/165026          -> ciflow/rocm/165026
2025-10-10T00:34:43.0849815Z  * [new tag]                 ciflow/rocm/165103          -> ciflow/rocm/165103
2025-10-10T00:34:43.0850380Z  * [new tag]                 ciflow/s390/164747          -> ciflow/s390/164747
2025-10-10T00:34:43.0850523Z  * [new tag]                 ciflow/s390/164917          -> ciflow/s390/164917
2025-10-10T00:34:43.0850793Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-10-10T00:34:43.0850930Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-10-10T00:34:43.0851552Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-10-10T00:34:43.0851963Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-10-10T00:34:43.0852351Z  * [new tag]                 ciflow/slow/163767          -> ciflow/slow/163767
2025-10-10T00:34:43.0852962Z  * [new tag]                 ciflow/slow/164747          -> ciflow/slow/164747
2025-10-10T00:34:43.0853290Z  * [new tag]                 ciflow/slow/164769          -> ciflow/slow/164769
2025-10-10T00:34:43.0854338Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-10-10T00:34:43.0854676Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-10-10T00:34:43.0857432Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-10-10T00:34:43.0857588Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-10-10T00:34:43.0858005Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-10-10T00:34:43.0858161Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-10-10T00:34:43.0858300Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-10-10T00:34:43.0858839Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-10-10T00:34:43.0859891Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-10-10T00:34:43.0860059Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-10-10T00:34:43.0860637Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-10-10T00:34:43.0862667Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-10-10T00:34:43.0862824Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-10-10T00:34:43.0862981Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-10-10T00:34:43.0863662Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-10-10T00:34:43.0864138Z  * [new tag]                 ciflow/torchbench/164747    -> ciflow/torchbench/164747
2025-10-10T00:34:43.0864648Z  * [new tag]                 ciflow/trunk/113258         -> ciflow/trunk/113258
2025-10-10T00:34:43.0865043Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-10-10T00:34:43.0865563Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-10-10T00:34:43.0865950Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-10-10T00:34:43.0866952Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-10-10T00:34:43.0867169Z  * [new tag]                 ciflow/trunk/149003         -> ciflow/trunk/149003
2025-10-10T00:34:43.0867440Z  * [new tag]                 ciflow/trunk/149536         -> ciflow/trunk/149536
2025-10-10T00:34:43.0867777Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-10-10T00:34:43.0871021Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-10-10T00:34:43.0871191Z  * [new tag]                 ciflow/trunk/154279         -> ciflow/trunk/154279
2025-10-10T00:34:43.0871317Z  * [new tag]                 ciflow/trunk/154983         -> ciflow/trunk/154983
2025-10-10T00:34:43.0871471Z  * [new tag]                 ciflow/trunk/156418         -> ciflow/trunk/156418
2025-10-10T00:34:43.0871596Z  * [new tag]                 ciflow/trunk/156592         -> ciflow/trunk/156592
2025-10-10T00:34:43.0871737Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-10-10T00:34:43.0871889Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-10-10T00:34:43.0872371Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-10-10T00:34:43.0872867Z  * [new tag]                 ciflow/trunk/159104         -> ciflow/trunk/159104
2025-10-10T00:34:43.0873337Z  * [new tag]                 ciflow/trunk/160266         -> ciflow/trunk/160266
2025-10-10T00:34:43.0873773Z  * [new tag]                 ciflow/trunk/160328         -> ciflow/trunk/160328
2025-10-10T00:34:43.0874235Z  * [new tag]                 ciflow/trunk/160329         -> ciflow/trunk/160329
2025-10-10T00:34:43.0877223Z  * [new tag]                 ciflow/trunk/160539         -> ciflow/trunk/160539
2025-10-10T00:34:43.0877566Z  * [new tag]                 ciflow/trunk/160610         -> ciflow/trunk/160610
2025-10-10T00:34:43.0877774Z  * [new tag]                 ciflow/trunk/160843         -> ciflow/trunk/160843
2025-10-10T00:34:43.0877919Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-10-10T00:34:43.0878034Z  * [new tag]                 ciflow/trunk/161320         -> ciflow/trunk/161320
2025-10-10T00:34:43.0878296Z  * [new tag]                 ciflow/trunk/162031         -> ciflow/trunk/162031
2025-10-10T00:34:43.0878972Z  * [new tag]                 ciflow/trunk/162066         -> ciflow/trunk/162066
2025-10-10T00:34:43.0879125Z  * [new tag]                 ciflow/trunk/162203         -> ciflow/trunk/162203
2025-10-10T00:34:43.0879288Z  * [new tag]                 ciflow/trunk/162340         -> ciflow/trunk/162340
2025-10-10T00:34:43.0879838Z  * [new tag]                 ciflow/trunk/162542         -> ciflow/trunk/162542
2025-10-10T00:34:43.0880054Z  * [new tag]                 ciflow/trunk/162899         -> ciflow/trunk/162899
2025-10-10T00:34:43.0880802Z  * [new tag]                 ciflow/trunk/163034         -> ciflow/trunk/163034
2025-10-10T00:34:43.0881238Z  * [new tag]                 ciflow/trunk/163332         -> ciflow/trunk/163332
2025-10-10T00:34:43.0883854Z  * [new tag]                 ciflow/trunk/163446         -> ciflow/trunk/163446
2025-10-10T00:34:43.0884188Z  * [new tag]                 ciflow/trunk/163490         -> ciflow/trunk/163490
2025-10-10T00:34:43.0884394Z  * [new tag]                 ciflow/trunk/163527         -> ciflow/trunk/163527
2025-10-10T00:34:43.0884528Z  * [new tag]                 ciflow/trunk/163533         -> ciflow/trunk/163533
2025-10-10T00:34:43.0884739Z  * [new tag]                 ciflow/trunk/163671         -> ciflow/trunk/163671
2025-10-10T00:34:43.0884872Z  * [new tag]                 ciflow/trunk/163767         -> ciflow/trunk/163767
2025-10-10T00:34:43.0885002Z  * [new tag]                 ciflow/trunk/163846         -> ciflow/trunk/163846
2025-10-10T00:34:43.0885592Z  * [new tag]                 ciflow/trunk/163899         -> ciflow/trunk/163899
2025-10-10T00:34:43.0886087Z  * [new tag]                 ciflow/trunk/163955         -> ciflow/trunk/163955
2025-10-10T00:34:43.0886563Z  * [new tag]                 ciflow/trunk/163976         -> ciflow/trunk/163976
2025-10-10T00:34:43.0887274Z  * [new tag]                 ciflow/trunk/164040         -> ciflow/trunk/164040
2025-10-10T00:34:43.0887582Z  * [new tag]                 ciflow/trunk/164130         -> ciflow/trunk/164130
2025-10-10T00:34:43.0888424Z  * [new tag]                 ciflow/trunk/164144         -> ciflow/trunk/164144
2025-10-10T00:34:43.0888711Z  * [new tag]                 ciflow/trunk/164202         -> ciflow/trunk/164202
2025-10-10T00:34:43.0889088Z  * [new tag]                 ciflow/trunk/164318         -> ciflow/trunk/164318
2025-10-10T00:34:43.0889559Z  * [new tag]                 ciflow/trunk/164414         -> ciflow/trunk/164414
2025-10-10T00:34:43.0890036Z  * [new tag]                 ciflow/trunk/164416         -> ciflow/trunk/164416
2025-10-10T00:34:43.0890479Z  * [new tag]                 ciflow/trunk/164437         -> ciflow/trunk/164437
2025-10-10T00:34:43.0893375Z  * [new tag]                 ciflow/trunk/164467         -> ciflow/trunk/164467
2025-10-10T00:34:43.0893540Z  * [new tag]                 ciflow/trunk/164500         -> ciflow/trunk/164500
2025-10-10T00:34:43.0893685Z  * [new tag]                 ciflow/trunk/164510         -> ciflow/trunk/164510
2025-10-10T00:34:43.0893801Z  * [new tag]                 ciflow/trunk/164519         -> ciflow/trunk/164519
2025-10-10T00:34:43.0893924Z  * [new tag]                 ciflow/trunk/164542         -> ciflow/trunk/164542
2025-10-10T00:34:43.0894036Z  * [new tag]                 ciflow/trunk/164560         -> ciflow/trunk/164560
2025-10-10T00:34:43.0894467Z  * [new tag]                 ciflow/trunk/164566         -> ciflow/trunk/164566
2025-10-10T00:34:43.0895011Z  * [new tag]                 ciflow/trunk/164623         -> ciflow/trunk/164623
2025-10-10T00:34:43.0895283Z  * [new tag]                 ciflow/trunk/164628         -> ciflow/trunk/164628
2025-10-10T00:34:43.0895693Z  * [new tag]                 ciflow/trunk/164641         -> ciflow/trunk/164641
2025-10-10T00:34:43.0899704Z  * [new tag]                 ciflow/trunk/164643         -> ciflow/trunk/164643
2025-10-10T00:34:43.0899887Z  * [new tag]                 ciflow/trunk/164645         -> ciflow/trunk/164645
2025-10-10T00:34:43.0900014Z  * [new tag]                 ciflow/trunk/164653         -> ciflow/trunk/164653
2025-10-10T00:34:43.0900146Z  * [new tag]                 ciflow/trunk/164655         -> ciflow/trunk/164655
2025-10-10T00:34:43.0900274Z  * [new tag]                 ciflow/trunk/164691         -> ciflow/trunk/164691
2025-10-10T00:34:43.0900394Z  * [new tag]                 ciflow/trunk/164692         -> ciflow/trunk/164692
2025-10-10T00:34:43.0900533Z  * [new tag]                 ciflow/trunk/164705         -> ciflow/trunk/164705
2025-10-10T00:34:43.0900650Z  * [new tag]                 ciflow/trunk/164746         -> ciflow/trunk/164746
2025-10-10T00:34:43.0900779Z  * [new tag]                 ciflow/trunk/164747         -> ciflow/trunk/164747
2025-10-10T00:34:43.0900901Z  * [new tag]                 ciflow/trunk/164790         -> ciflow/trunk/164790
2025-10-10T00:34:43.0901265Z  * [new tag]                 ciflow/trunk/164808         -> ciflow/trunk/164808
2025-10-10T00:34:43.0901765Z  * [new tag]                 ciflow/trunk/164812         -> ciflow/trunk/164812
2025-10-10T00:34:43.0902508Z  * [new tag]                 ciflow/trunk/164836         -> ciflow/trunk/164836
2025-10-10T00:34:43.0902779Z  * [new tag]                 ciflow/trunk/164842         -> ciflow/trunk/164842
2025-10-10T00:34:43.0903666Z  * [new tag]                 ciflow/trunk/164882         -> ciflow/trunk/164882
2025-10-10T00:34:43.0903968Z  * [new tag]                 ciflow/trunk/164889         -> ciflow/trunk/164889
2025-10-10T00:34:43.0904380Z  * [new tag]                 ciflow/trunk/164894         -> ciflow/trunk/164894
2025-10-10T00:34:43.0904892Z  * [new tag]                 ciflow/trunk/164930         -> ciflow/trunk/164930
2025-10-10T00:34:43.0905341Z  * [new tag]                 ciflow/trunk/164953         -> ciflow/trunk/164953
2025-10-10T00:34:43.0906175Z  * [new tag]                 ciflow/trunk/164976         -> ciflow/trunk/164976
2025-10-10T00:34:43.0907083Z  * [new tag]                 ciflow/trunk/164999         -> ciflow/trunk/164999
2025-10-10T00:34:43.0907687Z  * [new tag]                 ciflow/trunk/165000         -> ciflow/trunk/165000
2025-10-10T00:34:43.0908069Z  * [new tag]                 ciflow/trunk/165017         -> ciflow/trunk/165017
2025-10-10T00:34:43.0908205Z  * [new tag]                 ciflow/trunk/165018         -> ciflow/trunk/165018
2025-10-10T00:34:43.0908525Z  * [new tag]                 ciflow/trunk/165024         -> ciflow/trunk/165024
2025-10-10T00:34:43.0908987Z  * [new tag]                 ciflow/trunk/165033         -> ciflow/trunk/165033
2025-10-10T00:34:43.0909265Z  * [new tag]                 ciflow/trunk/165047         -> ciflow/trunk/165047
2025-10-10T00:34:43.0910282Z  * [new tag]                 ciflow/trunk/165057         -> ciflow/trunk/165057
2025-10-10T00:34:43.0910526Z  * [new tag]                 ciflow/trunk/165060         -> ciflow/trunk/165060
2025-10-10T00:34:43.0910751Z  * [new tag]                 ciflow/trunk/165065         -> ciflow/trunk/165065
2025-10-10T00:34:43.0913735Z  * [new tag]                 ciflow/trunk/165066         -> ciflow/trunk/165066
2025-10-10T00:34:43.0913893Z  * [new tag]                 ciflow/trunk/165090         -> ciflow/trunk/165090
2025-10-10T00:34:43.0914034Z  * [new tag]                 ciflow/trunk/165094         -> ciflow/trunk/165094
2025-10-10T00:34:43.0914156Z  * [new tag]                 ciflow/trunk/165113         -> ciflow/trunk/165113
2025-10-10T00:34:43.0914288Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-10-10T00:34:43.0914808Z  * [new tag]                 ciflow/vllm/164628          -> ciflow/vllm/164628
2025-10-10T00:34:43.0915340Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-10-10T00:34:43.0915900Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-10-10T00:34:43.0916374Z  * [new tag]                 ciflow/xpu/161485           -> ciflow/xpu/161485
2025-10-10T00:34:43.0916941Z  * [new tag]                 ciflow/xpu/162454           -> ciflow/xpu/162454
2025-10-10T00:34:43.0917415Z  * [new tag]                 ciflow/xpu/163332           -> ciflow/xpu/163332
2025-10-10T00:34:43.0918397Z  * [new tag]                 cslpull75                   -> cslpull75
2025-10-10T00:34:43.0919058Z  * [new tag]                 cslpull76                   -> cslpull76
2025-10-10T00:34:43.0919461Z  * [new tag]                 cslpull77                   -> cslpull77
2025-10-10T00:34:43.0920371Z  * [new tag]                 cslpull78                   -> cslpull78
2025-10-10T00:34:43.0920890Z  * [new tag]                 cslpull79                   -> cslpull79
2025-10-10T00:34:43.0921825Z  * [new tag]                 cslpull80                   -> cslpull80
2025-10-10T00:34:43.0922095Z  * [new tag]                 cslpull81                   -> cslpull81
2025-10-10T00:34:43.0922953Z  * [new tag]                 cslpull82                   -> cslpull82
2025-10-10T00:34:43.0923218Z  * [new tag]                 cslpull83                   -> cslpull83
2025-10-10T00:34:43.0924124Z  * [new tag]                 cslpull84                   -> cslpull84
2025-10-10T00:34:43.0924415Z  * [new tag]                 cslpull85                   -> cslpull85
2025-10-10T00:34:43.0925268Z  * [new tag]                 cslpull86                   -> cslpull86
2025-10-10T00:34:43.0925645Z  * [new tag]                 cslpull87                   -> cslpull87
2025-10-10T00:34:43.0926598Z  * [new tag]                 cslpull88                   -> cslpull88
2025-10-10T00:34:43.0926848Z  * [new tag]                 cslpull89                   -> cslpull89
2025-10-10T00:34:43.0927795Z  * [new tag]                 cslpull90                   -> cslpull90
2025-10-10T00:34:43.0928721Z  * [new tag]                 cslpull91                   -> cslpull91
2025-10-10T00:34:43.0929310Z  * [new tag]                 cslpull92                   -> cslpull92
2025-10-10T00:34:43.0929610Z  * [new tag]                 flight_5                    -> flight_5
2025-10-10T00:34:43.0930551Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-10-10T00:34:43.0930864Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-10-10T00:34:43.0931430Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-10-10T00:34:43.0932158Z  * [new tag]                 forpull1                    -> forpull1
2025-10-10T00:34:43.0932951Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-10-10T00:34:43.0933357Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-10-10T00:34:43.0934300Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-10-10T00:34:43.0934635Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-10-10T00:34:43.0936062Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-10-10T00:34:43.0936268Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-10-10T00:34:43.0936635Z  * [new tag]                 trunk/001e1d263746ae9d121d9c8cf55bc87f777d9dba -> trunk/001e1d263746ae9d121d9c8cf55bc87f777d9dba
2025-10-10T00:34:43.0937698Z  * [new tag]                 trunk/005c3d449e4c655d2eb0d76949a8cd41ce88f979 -> trunk/005c3d449e4c655d2eb0d76949a8cd41ce88f979
2025-10-10T00:34:43.0938079Z  * [new tag]                 trunk/00f0365b959323bab89dc0a5bd5d40589e78edc8 -> trunk/00f0365b959323bab89dc0a5bd5d40589e78edc8
2025-10-10T00:34:43.0938805Z  * [new tag]                 trunk/01f3a43462da594b65a6c9e8b46c132cd360cea9 -> trunk/01f3a43462da594b65a6c9e8b46c132cd360cea9
2025-10-10T00:34:43.0939340Z  * [new tag]                 trunk/0319556a35b01e8857f7bf75df9df3287e1e853a -> trunk/0319556a35b01e8857f7bf75df9df3287e1e853a
2025-10-10T00:34:43.0940066Z  * [new tag]                 trunk/054268c9ebb3291c6fd442e4a1f6602a8ea43ab6 -> trunk/054268c9ebb3291c6fd442e4a1f6602a8ea43ab6
2025-10-10T00:34:43.0940560Z  * [new tag]                 trunk/06d86e58d0309aa2c217256f88d1990a22ec6e4f -> trunk/06d86e58d0309aa2c217256f88d1990a22ec6e4f
2025-10-10T00:34:43.0941174Z  * [new tag]                 trunk/078d475d3bb104823e70ce975c2ee0d4d2fb0952 -> trunk/078d475d3bb104823e70ce975c2ee0d4d2fb0952
2025-10-10T00:34:43.0941860Z  * [new tag]                 trunk/086dec3235d463e751c12ce9eeeb2dfcc873e206 -> trunk/086dec3235d463e751c12ce9eeeb2dfcc873e206
2025-10-10T00:34:43.0942966Z  * [new tag]                 trunk/0a3e4e894cbc0cc93568c5d016f3ad72650cf641 -> trunk/0a3e4e894cbc0cc93568c5d016f3ad72650cf641
2025-10-10T00:34:43.0943311Z  * [new tag]                 trunk/0b01ff4de02035eb21c1bc6bf4b1b627bc1cefaa -> trunk/0b01ff4de02035eb21c1bc6bf4b1b627bc1cefaa
2025-10-10T00:34:43.0943878Z  * [new tag]                 trunk/0b15f7ae059cf4fa3909bbb009d83c0253a6385a -> trunk/0b15f7ae059cf4fa3909bbb009d83c0253a6385a
2025-10-10T00:34:43.0944529Z  * [new tag]                 trunk/0b4f2b46d9e14c1858dd3d0ca9b62e349ae316cf -> trunk/0b4f2b46d9e14c1858dd3d0ca9b62e349ae316cf
2025-10-10T00:34:43.0945183Z  * [new tag]                 trunk/0b85236477fe8a0e32510bcc973b2f34ef981df2 -> trunk/0b85236477fe8a0e32510bcc973b2f34ef981df2
2025-10-10T00:34:43.0945537Z  * [new tag]                 trunk/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> trunk/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:34:43.0946695Z  * [new tag]                 trunk/0e5773b7fadef9e29b006af470b771fad55b5206 -> trunk/0e5773b7fadef9e29b006af470b771fad55b5206
2025-10-10T00:34:43.0947136Z  * [new tag]                 trunk/0e9b3a772ab96e998ab85591d5b2a9c1d41bacb0 -> trunk/0e9b3a772ab96e998ab85591d5b2a9c1d41bacb0
2025-10-10T00:34:43.0947907Z  * [new tag]                 trunk/0fbe3f19c7e88ee1720d2e1579e3fd2cafdaabf9 -> trunk/0fbe3f19c7e88ee1720d2e1579e3fd2cafdaabf9
2025-10-10T00:34:43.0948612Z  * [new tag]                 trunk/0fd976b65c6daf3799a501d9202e4f50144446d1 -> trunk/0fd976b65c6daf3799a501d9202e4f50144446d1
2025-10-10T00:34:43.0949159Z  * [new tag]                 trunk/1051c1de5c0c1d34bec94c4a3199ac7b23bb19e1 -> trunk/1051c1de5c0c1d34bec94c4a3199ac7b23bb19e1
2025-10-10T00:34:43.0949775Z  * [new tag]                 trunk/115af42e9d57e89c26777be72822107cd7b39e07 -> trunk/115af42e9d57e89c26777be72822107cd7b39e07
2025-10-10T00:34:43.0950579Z  * [new tag]                 trunk/11f5f656867089dac1fa1e64e34c9966578fbddd -> trunk/11f5f656867089dac1fa1e64e34c9966578fbddd
2025-10-10T00:34:43.0951060Z  * [new tag]                 trunk/12d2ef557f6e127100267c31a31572d8ab5cc788 -> trunk/12d2ef557f6e127100267c31a31572d8ab5cc788
2025-10-10T00:34:43.0951493Z  * [new tag]                 trunk/144378615a5a2b347e39c6376cba7d75f7a82926 -> trunk/144378615a5a2b347e39c6376cba7d75f7a82926
2025-10-10T00:34:43.0952338Z  * [new tag]                 trunk/14791ea947349fb5fa7b7d6230cfd3924c36ba27 -> trunk/14791ea947349fb5fa7b7d6230cfd3924c36ba27
2025-10-10T00:34:43.0952889Z  * [new tag]                 trunk/15800888b697bacd555399b3a0ca2e8d0827528e -> trunk/15800888b697bacd555399b3a0ca2e8d0827528e
2025-10-10T00:34:43.0953622Z  * [new tag]                 trunk/15c8bdcc5e3a6dfd14e5c977438f772031e064ff -> trunk/15c8bdcc5e3a6dfd14e5c977438f772031e064ff
2025-10-10T00:34:43.0954604Z  * [new tag]                 trunk/15d726005ddc5558c934c3edd5f815c2e504e501 -> trunk/15d726005ddc5558c934c3edd5f815c2e504e501
2025-10-10T00:34:43.0955845Z  * [new tag]                 trunk/16f9bef642b07b3090a6e4a04517eff84d41a197 -> trunk/16f9bef642b07b3090a6e4a04517eff84d41a197
2025-10-10T00:34:43.0956165Z  * [new tag]                 trunk/17c7170ca6e2efd5ead2b93bd12e226ff48f0669 -> trunk/17c7170ca6e2efd5ead2b93bd12e226ff48f0669
2025-10-10T00:34:43.0956569Z  * [new tag]                 trunk/184817c7a81d5c01e107a84efeb269b063ddf5d6 -> trunk/184817c7a81d5c01e107a84efeb269b063ddf5d6
2025-10-10T00:34:43.0959309Z  * [new tag]                 trunk/18940820006d2304460008575561e2e8e7fc59fc -> trunk/18940820006d2304460008575561e2e8e7fc59fc
2025-10-10T00:34:43.0959560Z  * [new tag]                 trunk/18e18488e8c90e53cc113b1a5eddd9640ee80292 -> trunk/18e18488e8c90e53cc113b1a5eddd9640ee80292
2025-10-10T00:34:43.0959823Z  * [new tag]                 trunk/1927783aa3ad676db6f4c34fc77ef3825a4e2ed5 -> trunk/1927783aa3ad676db6f4c34fc77ef3825a4e2ed5
2025-10-10T00:34:43.0960082Z  * [new tag]                 trunk/19bf67be3286c0e2babe83af0d1593bae850362a -> trunk/19bf67be3286c0e2babe83af0d1593bae850362a
2025-10-10T00:34:43.0960328Z  * [new tag]                 trunk/1bb68271b7ff1b582845384c6c7f7b1593ae1619 -> trunk/1bb68271b7ff1b582845384c6c7f7b1593ae1619
2025-10-10T00:34:43.0960601Z  * [new tag]                 trunk/1d182dd81c3143697337e35d046fd02951dedb09 -> trunk/1d182dd81c3143697337e35d046fd02951dedb09
2025-10-10T00:34:43.0960845Z  * [new tag]                 trunk/1e42fde45eff81845f269e8185f54a19f6d87c5b -> trunk/1e42fde45eff81845f269e8185f54a19f6d87c5b
2025-10-10T00:34:43.0961439Z  * [new tag]                 trunk/1f73b96668bc6ae4c8e7ef5b630ff5f3c69ae005 -> trunk/1f73b96668bc6ae4c8e7ef5b630ff5f3c69ae005
2025-10-10T00:34:43.0961692Z  * [new tag]                 trunk/1f8ee5da117952b03f0050a178d69f8e7189b0f8 -> trunk/1f8ee5da117952b03f0050a178d69f8e7189b0f8
2025-10-10T00:34:43.0961956Z  * [new tag]                 trunk/1f9614cef8e0272c8e3bd99004d2978a6ecc5195 -> trunk/1f9614cef8e0272c8e3bd99004d2978a6ecc5195
2025-10-10T00:34:43.0962204Z  * [new tag]                 trunk/1fb072ac2a33af93a77888dddbdd228b22a3f9c4 -> trunk/1fb072ac2a33af93a77888dddbdd228b22a3f9c4
2025-10-10T00:34:43.0962699Z  * [new tag]                 trunk/1fc71d1b578badb1b3ba7cc2d5795f4f80463749 -> trunk/1fc71d1b578badb1b3ba7cc2d5795f4f80463749
2025-10-10T00:34:43.0963559Z  * [new tag]                 trunk/20082d713666fa1eade588bebd523d86309bfa25 -> trunk/20082d713666fa1eade588bebd523d86309bfa25
2025-10-10T00:34:43.0964008Z  * [new tag]                 trunk/2164b661219ab0a76aa018e955ba3d8e8f99c083 -> trunk/2164b661219ab0a76aa018e955ba3d8e8f99c083
2025-10-10T00:34:43.0968598Z  * [new tag]                 trunk/228973df7f770505aafc6fc17b99f81ac58bdfe1 -> trunk/228973df7f770505aafc6fc17b99f81ac58bdfe1
2025-10-10T00:34:43.0969087Z  * [new tag]                 trunk/22b1710252525d80d47ba95c762ccdbf577b2dc2 -> trunk/22b1710252525d80d47ba95c762ccdbf577b2dc2
2025-10-10T00:34:43.0969357Z  * [new tag]                 trunk/22e219d9969ff3cee85bc5de32fa49d5a549a148 -> trunk/22e219d9969ff3cee85bc5de32fa49d5a549a148
2025-10-10T00:34:43.0969619Z  * [new tag]                 trunk/235b995ce18de632ab816940319fcd66b46039b8 -> trunk/235b995ce18de632ab816940319fcd66b46039b8
2025-10-10T00:34:43.0969878Z  * [new tag]                 trunk/23ab6a45e5c759fb4714905cb8c84ef74c70aa67 -> trunk/23ab6a45e5c759fb4714905cb8c84ef74c70aa67
2025-10-10T00:34:43.0970143Z  * [new tag]                 trunk/24d69c57cbaa94cc828dbbdf83c889f5f244ae28 -> trunk/24d69c57cbaa94cc828dbbdf83c889f5f244ae28
2025-10-10T00:34:43.0970382Z  * [new tag]                 trunk/263db92563f0ae71bf3e4fc265fbb48e79f9f23f -> trunk/263db92563f0ae71bf3e4fc265fbb48e79f9f23f
2025-10-10T00:34:43.0970634Z  * [new tag]                 trunk/27234792add2ee9bedd84ca02dbf34f8f244bc5c -> trunk/27234792add2ee9bedd84ca02dbf34f8f244bc5c
2025-10-10T00:34:43.0975168Z  * [new tag]                 trunk/27eb36debbe3fa2d43a2f893a5c46a6257a09460 -> trunk/27eb36debbe3fa2d43a2f893a5c46a6257a09460
2025-10-10T00:34:43.0975469Z  * [new tag]                 trunk/2855a045b30dafad7a08d66e242be13770189c19 -> trunk/2855a045b30dafad7a08d66e242be13770189c19
2025-10-10T00:34:43.0975737Z  * [new tag]                 trunk/2883b5ab773daf5861d43ff0b65be49a441ab3f9 -> trunk/2883b5ab773daf5861d43ff0b65be49a441ab3f9
2025-10-10T00:34:43.0976141Z  * [new tag]                 trunk/29824067215f3ed9e4044ca0f31a71e9d95f237d -> trunk/29824067215f3ed9e4044ca0f31a71e9d95f237d
2025-10-10T00:34:43.0976409Z  * [new tag]                 trunk/2a11ce2c787b2339ffb8941b849dd487d25b4121 -> trunk/2a11ce2c787b2339ffb8941b849dd487d25b4121
2025-10-10T00:34:43.0976656Z  * [new tag]                 trunk/2a6cdba6e5f74c2294fecc2d1344537522efbaab -> trunk/2a6cdba6e5f74c2294fecc2d1344537522efbaab
2025-10-10T00:34:43.0976908Z  * [new tag]                 trunk/2a760dc51e04d65845440cc09e7016cfc74f9132 -> trunk/2a760dc51e04d65845440cc09e7016cfc74f9132
2025-10-10T00:34:43.0977146Z  * [new tag]                 trunk/2a7c48675010056f23d62b5c6ecb318782801723 -> trunk/2a7c48675010056f23d62b5c6ecb318782801723
2025-10-10T00:34:43.0977409Z  * [new tag]                 trunk/2b58adc3bdcf9476e1cef49ad965b7d3c7b9ac24 -> trunk/2b58adc3bdcf9476e1cef49ad965b7d3c7b9ac24
2025-10-10T00:34:43.0977652Z  * [new tag]                 trunk/2b9ff9953523a2e916234c9197d946f4cff976c7 -> trunk/2b9ff9953523a2e916234c9197d946f4cff976c7
2025-10-10T00:34:43.0977899Z  * [new tag]                 trunk/2c2e1268b7aae8ed610d12f2d38d39f8d93888a3 -> trunk/2c2e1268b7aae8ed610d12f2d38d39f8d93888a3
2025-10-10T00:34:43.0978146Z  * [new tag]                 trunk/2c5ed6e7c067573b093725cd15d13812d9647562 -> trunk/2c5ed6e7c067573b093725cd15d13812d9647562
2025-10-10T00:34:43.0978402Z  * [new tag]                 trunk/2d50678dcc7ab2da13a9bca6af8f2333e8970344 -> trunk/2d50678dcc7ab2da13a9bca6af8f2333e8970344
2025-10-10T00:34:43.0978648Z  * [new tag]                 trunk/2e027e874232fefe7b1c56ce8aeb26c0e6b97f15 -> trunk/2e027e874232fefe7b1c56ce8aeb26c0e6b97f15
2025-10-10T00:34:43.0978881Z  * [new tag]                 trunk/2e1742dd63c2168fd9649dbba96a95abf1f57cae -> trunk/2e1742dd63c2168fd9649dbba96a95abf1f57cae
2025-10-10T00:34:43.0979124Z  * [new tag]                 trunk/2fe37b5fde392535a3238f975c93dd202cd3e24b -> trunk/2fe37b5fde392535a3238f975c93dd202cd3e24b
2025-10-10T00:34:43.0979428Z  * [new tag]                 trunk/3040a5d294bd30d3938d0043a5d93d6c23264827 -> trunk/3040a5d294bd30d3938d0043a5d93d6c23264827
2025-10-10T00:34:43.0979993Z  * [new tag]                 trunk/321e6026925f6b6e8a36e3a8b7c0295cd7541911 -> trunk/321e6026925f6b6e8a36e3a8b7c0295cd7541911
2025-10-10T00:34:43.0980309Z  * [new tag]                 trunk/322091d8d8542a0cbff524306029bef4d7338747 -> trunk/322091d8d8542a0cbff524306029bef4d7338747
2025-10-10T00:34:43.0981864Z  * [new tag]                 trunk/3288fbf374128610928e27d03615ac0d46a6ce14 -> trunk/3288fbf374128610928e27d03615ac0d46a6ce14
2025-10-10T00:34:43.0982119Z  * [new tag]                 trunk/331191ce4b29b5d7d3bb7f0e7454ca70c06fbd26 -> trunk/331191ce4b29b5d7d3bb7f0e7454ca70c06fbd26
2025-10-10T00:34:43.0982369Z  * [new tag]                 trunk/33b17bc619b044a0050797987efb8890d43319df -> trunk/33b17bc619b044a0050797987efb8890d43319df
2025-10-10T00:34:43.0982636Z  * [new tag]                 trunk/34042a9145fe28033e7edb08f1fcf90ed197f4ac -> trunk/34042a9145fe28033e7edb08f1fcf90ed197f4ac
2025-10-10T00:34:43.0983300Z  * [new tag]                 trunk/344e6365a0068c2d2847fcec0c55dd53291d475e -> trunk/344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:34:43.0983938Z  * [new tag]                 trunk/34ac9b61cbfcf17328ccb8b729509829447fdddd -> trunk/34ac9b61cbfcf17328ccb8b729509829447fdddd
2025-10-10T00:34:43.0984560Z  * [new tag]                 trunk/35c4130fd1358c98e12301ffa0f1b2294e0c795f -> trunk/35c4130fd1358c98e12301ffa0f1b2294e0c795f
2025-10-10T00:34:43.0985068Z  * [new tag]                 trunk/35f66b83f89a571d0c0abe16c66a23120b92bdaf -> trunk/35f66b83f89a571d0c0abe16c66a23120b92bdaf
2025-10-10T00:34:43.0985780Z  * [new tag]                 trunk/361c5d362c4ea1950e05116899cfcf753c345ebd -> trunk/361c5d362c4ea1950e05116899cfcf753c345ebd
2025-10-10T00:34:43.0986695Z  * [new tag]                 trunk/37c6087334cce3ad4bc9838ea2ef63aba89f2253 -> trunk/37c6087334cce3ad4bc9838ea2ef63aba89f2253
2025-10-10T00:34:43.0986993Z  * [new tag]                 trunk/3912ba3e940b9354622fa09b2ada677cd10723d8 -> trunk/3912ba3e940b9354622fa09b2ada677cd10723d8
2025-10-10T00:34:43.0987550Z  * [new tag]                 trunk/39189592fd688979e56063430ed5a038d999908f -> trunk/39189592fd688979e56063430ed5a038d999908f
2025-10-10T00:34:43.0990500Z  * [new tag]                 trunk/3924f784ba81f87fe09988d6fc9620b57e4d9f72 -> trunk/3924f784ba81f87fe09988d6fc9620b57e4d9f72
2025-10-10T00:34:43.0991114Z  * [new tag]                 trunk/39b31a6bfde6e046383ae2b06fe0b68df5cdbdd2 -> trunk/39b31a6bfde6e046383ae2b06fe0b68df5cdbdd2
2025-10-10T00:34:43.0991502Z  * [new tag]                 trunk/39c340ec9e2ee3011f1d260f581b5a95f3c99039 -> trunk/39c340ec9e2ee3011f1d260f581b5a95f3c99039
2025-10-10T00:34:43.0992211Z  * [new tag]                 trunk/39d0c06ed0d7bc634d7f1a4e84b69f66d1ea0798 -> trunk/39d0c06ed0d7bc634d7f1a4e84b69f66d1ea0798
2025-10-10T00:34:43.0992507Z  * [new tag]                 trunk/3c0577bd15778c96cecf0e7a5e5958d7fcab64f0 -> trunk/3c0577bd15778c96cecf0e7a5e5958d7fcab64f0
2025-10-10T00:34:43.0992773Z  * [new tag]                 trunk/3c59351c6ea2fc29d346903e28e95c5f4d0ccdbb -> trunk/3c59351c6ea2fc29d346903e28e95c5f4d0ccdbb
2025-10-10T00:34:43.0998517Z  * [new tag]                 trunk/3c5ca685d6f5b6f3971c0cd20a054aa355610419 -> trunk/3c5ca685d6f5b6f3971c0cd20a054aa355610419
2025-10-10T00:34:43.0998954Z  * [new tag]                 trunk/3ca09d65f1bdf83142dc9fe47976227ae4a88e7b -> trunk/3ca09d65f1bdf83142dc9fe47976227ae4a88e7b
2025-10-10T00:34:43.0999351Z  * [new tag]                 trunk/3cc8af2d67f42bf2a933796290446c5ab8978aac -> trunk/3cc8af2d67f42bf2a933796290446c5ab8978aac
2025-10-10T00:34:43.1000030Z  * [new tag]                 trunk/3d1fa40ae1fee18ddf3dca89229e3ae828589e0c -> trunk/3d1fa40ae1fee18ddf3dca89229e3ae828589e0c
2025-10-10T00:34:43.1000336Z  * [new tag]                 trunk/3d9d41c80168bcd3c569345a96682c42a5eba36a -> trunk/3d9d41c80168bcd3c569345a96682c42a5eba36a
2025-10-10T00:34:43.1000598Z  * [new tag]                 trunk/3db21643417a04f6f2707a783ac32a538a98d53d -> trunk/3db21643417a04f6f2707a783ac32a538a98d53d
2025-10-10T00:34:43.1000856Z  * [new tag]                 trunk/3ddf2018d0b7b4def0553dc092d928ef831a19c3 -> trunk/3ddf2018d0b7b4def0553dc092d928ef831a19c3
2025-10-10T00:34:43.1001258Z  * [new tag]                 trunk/3e03deab6f3c268c85c8efd9546e28cdda0fa4cc -> trunk/3e03deab6f3c268c85c8efd9546e28cdda0fa4cc
2025-10-10T00:34:43.1001666Z  * [new tag]                 trunk/3e0826c9d792ae87373dc0ff5d46c260020de29f -> trunk/3e0826c9d792ae87373dc0ff5d46c260020de29f
2025-10-10T00:34:43.1002380Z  * [new tag]                 trunk/409aece3f9436a2f740f1b97f1243f738f6bbbf6 -> trunk/409aece3f9436a2f740f1b97f1243f738f6bbbf6
2025-10-10T00:34:43.1002883Z  * [new tag]                 trunk/40b25578e4ecb7ef1c38201b3ce0014eb57c53eb -> trunk/40b25578e4ecb7ef1c38201b3ce0014eb57c53eb
2025-10-10T00:34:43.1003389Z  * [new tag]                 trunk/412c6d28ec3869ef8ba962b290d755251e7cc3c1 -> trunk/412c6d28ec3869ef8ba962b290d755251e7cc3c1
2025-10-10T00:34:43.1003862Z  * [new tag]                 trunk/415e641572473479fc9d9eaea12762e1a223a9e0 -> trunk/415e641572473479fc9d9eaea12762e1a223a9e0
2025-10-10T00:34:43.1005512Z  * [new tag]                 trunk/41808b2ba9a61ab2f4c7af394c1668d09a4a0331 -> trunk/41808b2ba9a61ab2f4c7af394c1668d09a4a0331
2025-10-10T00:34:43.1005799Z  * [new tag]                 trunk/4308b8a28fa332d23ad6d25a472559b354619131 -> trunk/4308b8a28fa332d23ad6d25a472559b354619131
2025-10-10T00:34:43.1006079Z  * [new tag]                 trunk/43848b71d9af0223eafdd1755bf7444aafe9e993 -> trunk/43848b71d9af0223eafdd1755bf7444aafe9e993
2025-10-10T00:34:43.1006365Z  * [new tag]                 trunk/43fc859625f9c0a794307b3ef30c26ab3fc2bfec -> trunk/43fc859625f9c0a794307b3ef30c26ab3fc2bfec
2025-10-10T00:34:43.1007020Z  * [new tag]                 trunk/4412026949b562f940d4c24162de19d299725b62 -> trunk/4412026949b562f940d4c24162de19d299725b62
2025-10-10T00:34:43.1012916Z  * [new tag]                 trunk/44a5d419935a77b3308f247279a457e6d0b9a292 -> trunk/44a5d419935a77b3308f247279a457e6d0b9a292
2025-10-10T00:34:43.1013407Z  * [new tag]                 trunk/4661200125ba9c87aa7d54a55e585403b5ce5040 -> trunk/4661200125ba9c87aa7d54a55e585403b5ce5040
2025-10-10T00:34:43.1013655Z  * [new tag]                 trunk/4691fe60700ac51a878775fd23a8f7c4548c6757 -> trunk/4691fe60700ac51a878775fd23a8f7c4548c6757
2025-10-10T00:34:43.1013896Z  * [new tag]                 trunk/4725871a815fb880e89135a493c8c94ab9bbfece -> trunk/4725871a815fb880e89135a493c8c94ab9bbfece
2025-10-10T00:34:43.1014139Z  * [new tag]                 trunk/47956196d99166fe9083beb2a52fd2e6c90b2011 -> trunk/47956196d99166fe9083beb2a52fd2e6c90b2011
2025-10-10T00:34:43.1014379Z  * [new tag]                 trunk/483f4e0db91166128ad8922d86dc7222338d4ecc -> trunk/483f4e0db91166128ad8922d86dc7222338d4ecc
2025-10-10T00:34:43.1014624Z  * [new tag]                 trunk/48b54b45d62af7ecafccc5afede04474cb236f1a -> trunk/48b54b45d62af7ecafccc5afede04474cb236f1a
2025-10-10T00:34:43.1014864Z  * [new tag]                 trunk/49f7d8d19d24f616b11ef050535a211245aed649 -> trunk/49f7d8d19d24f616b11ef050535a211245aed649
2025-10-10T00:34:43.1015099Z  * [new tag]                 trunk/4a0df39f814afad087e8b29dd2914a8b54567694 -> trunk/4a0df39f814afad087e8b29dd2914a8b54567694
2025-10-10T00:34:43.1015352Z  * [new tag]                 trunk/4a6abba0d9fb3dc0f29b5efe527e26b2962caec1 -> trunk/4a6abba0d9fb3dc0f29b5efe527e26b2962caec1
2025-10-10T00:34:43.1015597Z  * [new tag]                 trunk/4ab847bbc7ba09f29a4e81494e8a752dcb411117 -> trunk/4ab847bbc7ba09f29a4e81494e8a752dcb411117
2025-10-10T00:34:43.1015834Z  * [new tag]                 trunk/4bcc05777e780e834d44a2d06dd5321daec316f0 -> trunk/4bcc05777e780e834d44a2d06dd5321daec316f0
2025-10-10T00:34:43.1016079Z  * [new tag]                 trunk/4bd1505f849e701a8e54f9d185c23f13e7324498 -> trunk/4bd1505f849e701a8e54f9d185c23f13e7324498
2025-10-10T00:34:43.1016328Z  * [new tag]                 trunk/4c0fec3e4dac35b9e9dec2beacfb5967906a4701 -> trunk/4c0fec3e4dac35b9e9dec2beacfb5967906a4701
2025-10-10T00:34:43.1016786Z  * [new tag]                 trunk/4c3c0ef2f10415f5d5b13f1c842f91bb90ee91d3 -> trunk/4c3c0ef2f10415f5d5b13f1c842f91bb90ee91d3
2025-10-10T00:34:43.1017467Z  * [new tag]                 trunk/4d7f9f3aed68729380730ed46e29ff2052f05b73 -> trunk/4d7f9f3aed68729380730ed46e29ff2052f05b73
2025-10-10T00:34:43.1018055Z  * [new tag]                 trunk/50e077beaaf71798f870552f3849e4a52c784df5 -> trunk/50e077beaaf71798f870552f3849e4a52c784df5
2025-10-10T00:34:43.1018816Z  * [new tag]                 trunk/5103ecc5d8f0cc90e686763652e2d84c22d83ca9 -> trunk/5103ecc5d8f0cc90e686763652e2d84c22d83ca9
2025-10-10T00:34:43.1019361Z  * [new tag]                 trunk/5178d0a480f8f4e21da3757de455c8215b249ec5 -> trunk/5178d0a480f8f4e21da3757de455c8215b249ec5
2025-10-10T00:34:43.1020137Z  * [new tag]                 trunk/5209c8ce0704f34ba4bd2a58c19877fbf6cf0392 -> trunk/5209c8ce0704f34ba4bd2a58c19877fbf6cf0392
2025-10-10T00:34:43.1020689Z  * [new tag]                 trunk/5390324984c43f1214b8abf731ad495ba2df5341 -> trunk/5390324984c43f1214b8abf731ad495ba2df5341
2025-10-10T00:34:43.1021483Z  * [new tag]                 trunk/53f5af8c924aba3c0fab1fabc6baf7d6affcb8a1 -> trunk/53f5af8c924aba3c0fab1fabc6baf7d6affcb8a1
2025-10-10T00:34:43.1022110Z  * [new tag]                 trunk/54ae61c573e91fa2a2c6430435059e2d94ecba2e -> trunk/54ae61c573e91fa2a2c6430435059e2d94ecba2e
2025-10-10T00:34:43.1022725Z  * [new tag]                 trunk/5656d45c8ff03cf20fd7d5098247c2250395af8a -> trunk/5656d45c8ff03cf20fd7d5098247c2250395af8a
2025-10-10T00:34:43.1023288Z  * [new tag]                 trunk/56d66ac0d74f44d7b656757795142b5b9a1802a1 -> trunk/56d66ac0d74f44d7b656757795142b5b9a1802a1
2025-10-10T00:34:43.1023812Z  * [new tag]                 trunk/5743d731c1de495ecf3bb03682a2dcbe207ca895 -> trunk/5743d731c1de495ecf3bb03682a2dcbe207ca895
2025-10-10T00:34:43.1024717Z  * [new tag]                 trunk/5a1fbf45ad727353e367740ecd8825ca7ee857e9 -> trunk/5a1fbf45ad727353e367740ecd8825ca7ee857e9
2025-10-10T00:34:43.1025085Z  * [new tag]                 trunk/5a66ff4915ecfd86f1a68e7862e5a2ad473e5a79 -> trunk/5a66ff4915ecfd86f1a68e7862e5a2ad473e5a79
2025-10-10T00:34:43.1025868Z  * [new tag]                 trunk/5b0b4cda4aa03bee16ee67d9d36012a539df3c50 -> trunk/5b0b4cda4aa03bee16ee67d9d36012a539df3c50
2025-10-10T00:34:43.1027474Z  * [new tag]                 trunk/5b8174bc286725f9326fba6dc0ef17c316486bbd -> trunk/5b8174bc286725f9326fba6dc0ef17c316486bbd
2025-10-10T00:34:43.1027740Z  * [new tag]                 trunk/5ba11df4f871717818b88c4eab514d31286601d1 -> trunk/5ba11df4f871717818b88c4eab514d31286601d1
2025-10-10T00:34:43.1027994Z  * [new tag]                 trunk/5c827a4133da69108338d0363bb7ad7f62803c40 -> trunk/5c827a4133da69108338d0363bb7ad7f62803c40
2025-10-10T00:34:43.1028625Z  * [new tag]                 trunk/5d459dd6099ef94d33db9a6d36bcce9f742f1da1 -> trunk/5d459dd6099ef94d33db9a6d36bcce9f742f1da1
2025-10-10T00:34:43.1029160Z  * [new tag]                 trunk/5d7360bb03355c89c0b956df0ab428f5a7b5c9f8 -> trunk/5d7360bb03355c89c0b956df0ab428f5a7b5c9f8
2025-10-10T00:34:43.1034165Z  * [new tag]                 trunk/5dbae1eae26159058f6199fc68fe73fc0e5bef5f -> trunk/5dbae1eae26159058f6199fc68fe73fc0e5bef5f
2025-10-10T00:34:43.1034471Z  * [new tag]                 trunk/5e47b4dd60ff9efb253286af5a2479d9d800ce6a -> trunk/5e47b4dd60ff9efb253286af5a2479d9d800ce6a
2025-10-10T00:34:43.1034723Z  * [new tag]                 trunk/5ed4270440fd0b62d3aa14692f9e377a0061061e -> trunk/5ed4270440fd0b62d3aa14692f9e377a0061061e
2025-10-10T00:34:43.1034983Z  * [new tag]                 trunk/5f18f240de43fc24481ead4d740dda64f174fa86 -> trunk/5f18f240de43fc24481ead4d740dda64f174fa86
2025-10-10T00:34:43.1035230Z  * [new tag]                 trunk/5f775bdfb766d9a2717ffbb64f2a51e53cddc778 -> trunk/5f775bdfb766d9a2717ffbb64f2a51e53cddc778
2025-10-10T00:34:43.1035482Z  * [new tag]                 trunk/600267ea56cafcf8f9a1150a4379184960a757b2 -> trunk/600267ea56cafcf8f9a1150a4379184960a757b2
2025-10-10T00:34:43.1035729Z  * [new tag]                 trunk/600db525bdb5e76c12f30f271d969d43a7f8efef -> trunk/600db525bdb5e76c12f30f271d969d43a7f8efef
2025-10-10T00:34:43.1035959Z  * [new tag]                 trunk/608792153f42254d2d2b5a87d524807a0c2724f1 -> trunk/608792153f42254d2d2b5a87d524807a0c2724f1
2025-10-10T00:34:43.1036212Z  * [new tag]                 trunk/6389658ec6b1ea58cb1de032266d865eeb8d48e9 -> trunk/6389658ec6b1ea58cb1de032266d865eeb8d48e9
2025-10-10T00:34:43.1036462Z  * [new tag]                 trunk/64108bdbed2f099d527060b4c9fdd5a11cad2afc -> trunk/64108bdbed2f099d527060b4c9fdd5a11cad2afc
2025-10-10T00:34:43.1036868Z  * [new tag]                 trunk/65aa62d50d1c83aa1b46ed4d584f12f509bab1c4 -> trunk/65aa62d50d1c83aa1b46ed4d584f12f509bab1c4
2025-10-10T00:34:43.1037120Z  * [new tag]                 trunk/65f10becdf21f3a0947a735904fcce876ce3c4b0 -> trunk/65f10becdf21f3a0947a735904fcce876ce3c4b0
2025-10-10T00:34:43.1037884Z  * [new tag]                 trunk/660e369a68dd8be60ce4eb67c25191ea66efc303 -> trunk/660e369a68dd8be60ce4eb67c25191ea66efc303
2025-10-10T00:34:43.1038359Z  * [new tag]                 trunk/68350660ee2db8c21c84527929b92de9f0bcc3e2 -> trunk/68350660ee2db8c21c84527929b92de9f0bcc3e2
2025-10-10T00:34:43.1038997Z  * [new tag]                 trunk/6861a270624b44954826688f8dad668eb0154452 -> trunk/6861a270624b44954826688f8dad668eb0154452
2025-10-10T00:34:43.1039631Z  * [new tag]                 trunk/6861fa43e5fee7fedc0213e352fa983edea8aa78 -> trunk/6861fa43e5fee7fedc0213e352fa983edea8aa78
2025-10-10T00:34:43.1041188Z  * [new tag]                 trunk/688efd9741dbd18c176729aec3df7a73825f8463 -> trunk/688efd9741dbd18c176729aec3df7a73825f8463
2025-10-10T00:34:43.1041456Z  * [new tag]                 trunk/6a09f9306cadd003b2e6abc3f6422a2d8607779b -> trunk/6a09f9306cadd003b2e6abc3f6422a2d8607779b
2025-10-10T00:34:43.1041716Z  * [new tag]                 trunk/6a31f42da45c0f1cbdb021b3695f0e6388b8b532 -> trunk/6a31f42da45c0f1cbdb021b3695f0e6388b8b532
2025-10-10T00:34:43.1042341Z  * [new tag]                 trunk/6a7f5c0d21a22959d014c8b06f3efe3408336aaf -> trunk/6a7f5c0d21a22959d014c8b06f3efe3408336aaf
2025-10-10T00:34:43.1043705Z  * [new tag]                 trunk/6b768e1890a179122e91395c5532a382d69b96a0 -> trunk/6b768e1890a179122e91395c5532a382d69b96a0
2025-10-10T00:34:43.1044136Z  * [new tag]                 trunk/6b7970192f5de47d29a4fe085f509389ac0bea7d -> trunk/6b7970192f5de47d29a4fe085f509389ac0bea7d
2025-10-10T00:34:43.1044481Z  * [new tag]                 trunk/6bb021c12553755a4f64df0b60dc34b1efdb992b -> trunk/6bb021c12553755a4f64df0b60dc34b1efdb992b
2025-10-10T00:34:43.1049769Z  * [new tag]                 trunk/6bb586eafd723d4972c729f37c14f27c88168adc -> trunk/6bb586eafd723d4972c729f37c14f27c88168adc
2025-10-10T00:34:43.1050050Z  * [new tag]                 trunk/6c0125dbc0241aef962528651df4f67204a8b526 -> trunk/6c0125dbc0241aef962528651df4f67204a8b526
2025-10-10T00:34:43.1050299Z  * [new tag]                 trunk/6c209bfc5c1e1e59e6a62f94151398d66164bb93 -> trunk/6c209bfc5c1e1e59e6a62f94151398d66164bb93
2025-10-10T00:34:43.1050569Z  * [new tag]                 trunk/6c3c9414eb571b34ff0d932978e4733dbb08dc1d -> trunk/6c3c9414eb571b34ff0d932978e4733dbb08dc1d
2025-10-10T00:34:43.1050837Z  * [new tag]                 trunk/6d27a8e5093ee2a21d44dceeeffcb272e6e0f655 -> trunk/6d27a8e5093ee2a21d44dceeeffcb272e6e0f655
2025-10-10T00:34:43.1051077Z  * [new tag]                 trunk/702f6e703b1d3a942346848b65a9f2a37d12ae18 -> trunk/702f6e703b1d3a942346848b65a9f2a37d12ae18
2025-10-10T00:34:43.1051843Z  * [new tag]                 trunk/7158aa22e8dc97fdc2657cf0d4cde34b277e7d9e -> trunk/7158aa22e8dc97fdc2657cf0d4cde34b277e7d9e
2025-10-10T00:34:43.1052113Z  * [new tag]                 trunk/71aefd5595834dd97f38aa978ee32abbd13ac3d6 -> trunk/71aefd5595834dd97f38aa978ee32abbd13ac3d6
2025-10-10T00:34:43.1052356Z  * [new tag]                 trunk/724463d5a2fba369cd14e89215b84d1b01435df7 -> trunk/724463d5a2fba369cd14e89215b84d1b01435df7
2025-10-10T00:34:43.1052623Z  * [new tag]                 trunk/73adac05d13babb75410c3e033fdce57aa16881a -> trunk/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:34:43.1052872Z  * [new tag]                 trunk/7457d139c51124e5a31a6173f99f81f0deb52178 -> trunk/7457d139c51124e5a31a6173f99f81f0deb52178
2025-10-10T00:34:43.1053142Z  * [new tag]                 trunk/746fe78ecd52f3e9cfddda41f0ac82dada7bdd0b -> trunk/746fe78ecd52f3e9cfddda41f0ac82dada7bdd0b
2025-10-10T00:34:43.1053388Z  * [new tag]                 trunk/7617b113ad0045cdfe5cf1feb8efb634a41c6ce2 -> trunk/7617b113ad0045cdfe5cf1feb8efb634a41c6ce2
2025-10-10T00:34:43.1053798Z  * [new tag]                 trunk/7a1ead755f2e2abe8be49a7a0fb88b6b13973147 -> trunk/7a1ead755f2e2abe8be49a7a0fb88b6b13973147
2025-10-10T00:34:43.1058805Z  * [new tag]                 trunk/7b15534434aeaf59a4c9189f52b4ebd4a5d58803 -> trunk/7b15534434aeaf59a4c9189f52b4ebd4a5d58803
2025-10-10T00:34:43.1059098Z  * [new tag]                 trunk/7b691546d2949790ffc8f6bd3c674faa6a46ff7c -> trunk/7b691546d2949790ffc8f6bd3c674faa6a46ff7c
2025-10-10T00:34:43.1059378Z  * [new tag]                 trunk/7cfecd76b2141d81c90d722dc5e3262bdf7ea900 -> trunk/7cfecd76b2141d81c90d722dc5e3262bdf7ea900
2025-10-10T00:34:43.1059629Z  * [new tag]                 trunk/7d570129e0cea8dd3de0175baff96723656ab8ab -> trunk/7d570129e0cea8dd3de0175baff96723656ab8ab
2025-10-10T00:34:43.1059898Z  * [new tag]                 trunk/7e7ac2039d5d5f35373c4de6cdf0ccdee3734c7a -> trunk/7e7ac2039d5d5f35373c4de6cdf0ccdee3734c7a
2025-10-10T00:34:43.1060147Z  * [new tag]                 trunk/7eb1eb4313cfa3db1beadc6d9d04ea6b76acc39c -> trunk/7eb1eb4313cfa3db1beadc6d9d04ea6b76acc39c
2025-10-10T00:34:43.1060399Z  * [new tag]                 trunk/801e282f39e9ef4424dfd3ecfd2b550a44595229 -> trunk/801e282f39e9ef4424dfd3ecfd2b550a44595229
2025-10-10T00:34:43.1060632Z  * [new tag]                 trunk/81994b08a078b30e076d408713f78c9bf4e329e7 -> trunk/81994b08a078b30e076d408713f78c9bf4e329e7
2025-10-10T00:34:43.1060879Z  * [new tag]                 trunk/81dbeb06f4b3eb6c56625ec25d377eb7c7c6c573 -> trunk/81dbeb06f4b3eb6c56625ec25d377eb7c7c6c573
2025-10-10T00:34:43.1061265Z  * [new tag]                 trunk/83458197d14921f797565135f0f45031c362338d -> trunk/83458197d14921f797565135f0f45031c362338d
2025-10-10T00:34:43.1061513Z  * [new tag]                 trunk/83d71dfb2fd993a6242372b8123549acaa85ffdb -> trunk/83d71dfb2fd993a6242372b8123549acaa85ffdb
2025-10-10T00:34:43.1061757Z  * [new tag]                 trunk/86474ce996d168b404592cbbdfcc30d6607c8bd4 -> trunk/86474ce996d168b404592cbbdfcc30d6607c8bd4
2025-10-10T00:34:43.1062000Z  * [new tag]                 trunk/86c789849eac1f96d03cf273e7995dbc7d319c26 -> trunk/86c789849eac1f96d03cf273e7995dbc7d319c26
2025-10-10T00:34:43.1062240Z  * [new tag]                 trunk/874efa2d72d83b00894097130f18062ce331a265 -> trunk/874efa2d72d83b00894097130f18062ce331a265
2025-10-10T00:34:43.1062476Z  * [new tag]                 trunk/87c9fbda22c229d4e5512011e050efd6ffea1241 -> trunk/87c9fbda22c229d4e5512011e050efd6ffea1241
2025-10-10T00:34:43.1062731Z  * [new tag]                 trunk/87eccf10e8484c9e59ef81ae7bdee68d3db4f605 -> trunk/87eccf10e8484c9e59ef81ae7bdee68d3db4f605
2025-10-10T00:34:43.1062978Z  * [new tag]                 trunk/8c0bc879b97bc580aaa0777b2d266bdd068cb528 -> trunk/8c0bc879b97bc580aaa0777b2d266bdd068cb528
2025-10-10T00:34:43.1063225Z  * [new tag]                 trunk/8c54101933bb7c6ed3f9c1a65629b7f30376f7e2 -> trunk/8c54101933bb7c6ed3f9c1a65629b7f30376f7e2
2025-10-10T00:34:43.1063472Z  * [new tag]                 trunk/8ca986ee60febce075f9e3ff83726048cebbbf68 -> trunk/8ca986ee60febce075f9e3ff83726048cebbbf68
2025-10-10T00:34:43.1063719Z  * [new tag]                 trunk/8d53d788fefc0370931063d91f0c342556c3cf4c -> trunk/8d53d788fefc0370931063d91f0c342556c3cf4c
2025-10-10T00:34:43.1065398Z  * [new tag]                 trunk/8e1f409b8ccf64b2cf3933ece13587ad57e9d8a9 -> trunk/8e1f409b8ccf64b2cf3933ece13587ad57e9d8a9
2025-10-10T00:34:43.1065841Z  * [new tag]                 trunk/8ec8c14aced9f3e7ff4ab663822bed792d6c34f4 -> trunk/8ec8c14aced9f3e7ff4ab663822bed792d6c34f4
2025-10-10T00:34:43.1066634Z  * [new tag]                 trunk/8f54e27e5decf41222f5d744069eb6572dbf275f -> trunk/8f54e27e5decf41222f5d744069eb6572dbf275f
2025-10-10T00:34:43.1067196Z  * [new tag]                 trunk/8f705d019a64b1ca882e043b3eb98559273a9e59 -> trunk/8f705d019a64b1ca882e043b3eb98559273a9e59
2025-10-10T00:34:43.1070467Z  * [new tag]                 trunk/8f83b3e71cb2af6244971af59bfbb6e2abb55f24 -> trunk/8f83b3e71cb2af6244971af59bfbb6e2abb55f24
2025-10-10T00:34:43.1070925Z  * [new tag]                 trunk/90b4e130d6871bee4e1f15bb8294c1bbbf8f4ba5 -> trunk/90b4e130d6871bee4e1f15bb8294c1bbbf8f4ba5
2025-10-10T00:34:43.1071203Z  * [new tag]                 trunk/90c0825e2deb0a46faf5cc2deb7184f6f8ea7a6d -> trunk/90c0825e2deb0a46faf5cc2deb7184f6f8ea7a6d
2025-10-10T00:34:43.1071439Z  * [new tag]                 trunk/91040f49348646d79c6cd3434c34860d25c2e47a -> trunk/91040f49348646d79c6cd3434c34860d25c2e47a
2025-10-10T00:34:43.1071687Z  * [new tag]                 trunk/91b94842645c1a781ab169b0df718545901ebb01 -> trunk/91b94842645c1a781ab169b0df718545901ebb01
2025-10-10T00:34:43.1071942Z  * [new tag]                 trunk/91c211fb8c8ec3065be2a18dfc399ce849ea83bf -> trunk/91c211fb8c8ec3065be2a18dfc399ce849ea83bf
2025-10-10T00:34:43.1072206Z  * [new tag]                 trunk/91c4db76cbb82dfa46d937b8dce4c942eaf5e226 -> trunk/91c4db76cbb82dfa46d937b8dce4c942eaf5e226
2025-10-10T00:34:43.1072449Z  * [new tag]                 trunk/93e833de0f987f66d8c93b76ffe6aad35b714231 -> trunk/93e833de0f987f66d8c93b76ffe6aad35b714231
2025-10-10T00:34:43.1075663Z  * [new tag]                 trunk/94b1ec8c7c5cc63541325abc923973f2fc2ad094 -> trunk/94b1ec8c7c5cc63541325abc923973f2fc2ad094
2025-10-10T00:34:43.1076114Z  * [new tag]                 trunk/955f21dc2c628e09e0d112b3db1ee928cd1da344 -> trunk/955f21dc2c628e09e0d112b3db1ee928cd1da344
2025-10-10T00:34:43.1076492Z  * [new tag]                 trunk/9580539e2f73d68e89544c713ff460bea3038701 -> trunk/9580539e2f73d68e89544c713ff460bea3038701
2025-10-10T00:34:43.1077082Z  * [new tag]                 trunk/95a053284cd28e8d52bd55049bd45aea47adba0c -> trunk/95a053284cd28e8d52bd55049bd45aea47adba0c
2025-10-10T00:34:43.1077366Z  * [new tag]                 trunk/960c4b9937251da01ea588efff0fc06a34eac35b -> trunk/960c4b9937251da01ea588efff0fc06a34eac35b
2025-10-10T00:34:43.1077827Z  * [new tag]                 trunk/96181d6f7619acf938dc743123326c6b5dd25284 -> trunk/96181d6f7619acf938dc743123326c6b5dd25284
2025-10-10T00:34:43.1078094Z  * [new tag]                 trunk/9697a7ce9ea095e933658cfee13f9bbef272551a -> trunk/9697a7ce9ea095e933658cfee13f9bbef272551a
2025-10-10T00:34:43.1078357Z  * [new tag]                 trunk/96d91da792d4b50930318ecdfb8b5b8190c467cd -> trunk/96d91da792d4b50930318ecdfb8b5b8190c467cd
2025-10-10T00:34:43.1078597Z  * [new tag]                 trunk/97463d4cf3c125557ef23502772b12a67dac4dc7 -> trunk/97463d4cf3c125557ef23502772b12a67dac4dc7
2025-10-10T00:34:43.1078972Z  * [new tag]                 trunk/97ca21106d0179f425fc752ec867fe11669c2834 -> trunk/97ca21106d0179f425fc752ec867fe11669c2834
2025-10-10T00:34:43.1082384Z  * [new tag]                 trunk/98a081a24c22072362dc536afd39a469e28939d4 -> trunk/98a081a24c22072362dc536afd39a469e28939d4
2025-10-10T00:34:43.1082823Z  * [new tag]                 trunk/9944cac6e6a95159744a775a8bef40d89eef0f03 -> trunk/9944cac6e6a95159744a775a8bef40d89eef0f03
2025-10-10T00:34:43.1083192Z  * [new tag]                 trunk/9aa92f246fa5fe5cfda17970d41d167b19a0612a -> trunk/9aa92f246fa5fe5cfda17970d41d167b19a0612a
2025-10-10T00:34:43.1083535Z  * [new tag]                 trunk/9d1ab4f4bb508a72c7f549f0b5219c4601944ba1 -> trunk/9d1ab4f4bb508a72c7f549f0b5219c4601944ba1
2025-10-10T00:34:43.1083869Z  * [new tag]                 trunk/9eb89a4ad5965b97c54e498d71fc765c0059acef -> trunk/9eb89a4ad5965b97c54e498d71fc765c0059acef
2025-10-10T00:34:43.1084572Z  * [new tag]                 trunk/9ec10dc26a81dc618ff435edd4ca4819245ecb0f -> trunk/9ec10dc26a81dc618ff435edd4ca4819245ecb0f
2025-10-10T00:34:43.1084874Z  * [new tag]                 trunk/9ecd092bd98f43d1cd4acc88eed6cbc39e946dbe -> trunk/9ecd092bd98f43d1cd4acc88eed6cbc39e946dbe
2025-10-10T00:34:43.1085149Z  * [new tag]                 trunk/9f5e1beaf3c9248a335d2448103240a463187eb5 -> trunk/9f5e1beaf3c9248a335d2448103240a463187eb5
2025-10-10T00:34:43.1085406Z  * [new tag]                 trunk/9fc2c6446d394dd313ed71e9d1ffc4f7f3916423 -> trunk/9fc2c6446d394dd313ed71e9d1ffc4f7f3916423
2025-10-10T00:34:43.1085663Z  * [new tag]                 trunk/9fff8155c362da777e7ce31b85fb2dc7cfced2d5 -> trunk/9fff8155c362da777e7ce31b85fb2dc7cfced2d5
2025-10-10T00:34:43.1086125Z  * [new tag]                 trunk/a029675f6f0b9cf48eb7943d4be8169c67960a8e -> trunk/a029675f6f0b9cf48eb7943d4be8169c67960a8e
2025-10-10T00:34:43.1086694Z  * [new tag]                 trunk/a11a66ef320938cd0fd72b44b2b572b06937e100 -> trunk/a11a66ef320938cd0fd72b44b2b572b06937e100
2025-10-10T00:34:43.1091406Z  * [new tag]                 trunk/a2f29bcd6388acdc3202d8a90974c50ffb605104 -> trunk/a2f29bcd6388acdc3202d8a90974c50ffb605104
2025-10-10T00:34:43.1091856Z  * [new tag]                 trunk/a34797e031727f6a01a2f13a66db2f7e1fcc05b6 -> trunk/a34797e031727f6a01a2f13a66db2f7e1fcc05b6
2025-10-10T00:34:43.1092247Z  * [new tag]                 trunk/a4110fedcf72eaede76324bb5c21a76589d75849 -> trunk/a4110fedcf72eaede76324bb5c21a76589d75849
2025-10-10T00:34:43.1092585Z  * [new tag]                 trunk/a43c4c3972a611db169dde2aed803b91fe78c081 -> trunk/a43c4c3972a611db169dde2aed803b91fe78c081
2025-10-10T00:34:43.1092936Z  * [new tag]                 trunk/a57a14868dcfd9dabf9bd19b6b11f31967c80c87 -> trunk/a57a14868dcfd9dabf9bd19b6b11f31967c80c87
2025-10-10T00:34:43.1093194Z  * [new tag]                 trunk/a6fa4f9c283971c0fb6f60a89674a1f35370ac79 -> trunk/a6fa4f9c283971c0fb6f60a89674a1f35370ac79
2025-10-10T00:34:43.1093459Z  * [new tag]                 trunk/a753ffa9aff47e005c31d6bcbf5b6a61cc54afed -> trunk/a753ffa9aff47e005c31d6bcbf5b6a61cc54afed
2025-10-10T00:34:43.1093702Z  * [new tag]                 trunk/a7fa1a91e386c7708e4c8747680911b0c3174a66 -> trunk/a7fa1a91e386c7708e4c8747680911b0c3174a66
2025-10-10T00:34:43.1094147Z  * [new tag]                 trunk/a9a9a3438a374f96a308b707a1718036aaec790d -> trunk/a9a9a3438a374f96a308b707a1718036aaec790d
2025-10-10T00:34:43.1094403Z  * [new tag]                 trunk/ab01a0d7d352e7fd07989b8d6bf035bf82aea74e -> trunk/ab01a0d7d352e7fd07989b8d6bf035bf82aea74e
2025-10-10T00:34:43.1094659Z  * [new tag]                 trunk/ab94a0d544503b5c27e889b45e45ef8cf75c8183 -> trunk/ab94a0d544503b5c27e889b45e45ef8cf75c8183
2025-10-10T00:34:43.1094922Z  * [new tag]                 trunk/abadea70f3eb5f2f764fd6448d42dd2c29fa28b3 -> trunk/abadea70f3eb5f2f764fd6448d42dd2c29fa28b3
2025-10-10T00:34:43.1095182Z  * [new tag]                 trunk/ac08556f674259ff5b117964e300124e8a92d45b -> trunk/ac08556f674259ff5b117964e300124e8a92d45b
2025-10-10T00:34:43.1095800Z  * [new tag]                 trunk/ac7b4e7fe4d233dcd7f6343d42b4fa3d64bce548 -> trunk/ac7b4e7fe4d233dcd7f6343d42b4fa3d64bce548
2025-10-10T00:34:43.1097702Z  * [new tag]                 trunk/ac901bf79a2d78539ffec272bf32f4ae47035b23 -> trunk/ac901bf79a2d78539ffec272bf32f4ae47035b23
2025-10-10T00:34:43.1098021Z  * [new tag]                 trunk/ad7b2bebc651c297d869f265deedef726bf17048 -> trunk/ad7b2bebc651c297d869f265deedef726bf17048
2025-10-10T00:34:43.1098391Z  * [new tag]                 trunk/ae25ec569c614c2a2274837079578b71f3201a3b -> trunk/ae25ec569c614c2a2274837079578b71f3201a3b
2025-10-10T00:34:43.1098837Z  * [new tag]                 trunk/aea57b3aa38a3d4a058e0a7eba08d0c6c28ed9c5 -> trunk/aea57b3aa38a3d4a058e0a7eba08d0c6c28ed9c5
2025-10-10T00:34:43.1099725Z  * [new tag]                 trunk/aed5ed1076d3e73e0b6357dafac1002aa6a221e9 -> trunk/aed5ed1076d3e73e0b6357dafac1002aa6a221e9
2025-10-10T00:34:43.1100449Z  * [new tag]                 trunk/aed66248a01d309eb2ac1149b5f51310545b0783 -> trunk/aed66248a01d309eb2ac1149b5f51310545b0783
2025-10-10T00:34:43.1101121Z  * [new tag]                 trunk/af32d16a71681ca05c6d410fb1b9cee091d4577d -> trunk/af32d16a71681ca05c6d410fb1b9cee091d4577d
2025-10-10T00:34:43.1101560Z  * [new tag]                 trunk/af40828bbb785f968eda18dbdc8750ba67f57366 -> trunk/af40828bbb785f968eda18dbdc8750ba67f57366
2025-10-10T00:34:43.1102263Z  * [new tag]                 trunk/af4c29fea8f50ac3bb9e4a0e305da4a2c6b53d29 -> trunk/af4c29fea8f50ac3bb9e4a0e305da4a2c6b53d29
2025-10-10T00:34:43.1102911Z  * [new tag]                 trunk/afee8062d511ad63e0af65ffac0e712d86aae8f1 -> trunk/afee8062d511ad63e0af65ffac0e712d86aae8f1
2025-10-10T00:34:43.1103575Z  * [new tag]                 trunk/afeec56a5aa83dd0258565400551a99777c0023b -> trunk/afeec56a5aa83dd0258565400551a99777c0023b
2025-10-10T00:34:43.1104650Z  * [new tag]                 trunk/b0985144b59db8fb20964829b5e0a9d2f9a3f0d6 -> trunk/b0985144b59db8fb20964829b5e0a9d2f9a3f0d6
2025-10-10T00:34:43.1104902Z  * [new tag]                 trunk/b116c5133024be39a2db67cd0112b490b970b710 -> trunk/b116c5133024be39a2db67cd0112b490b970b710
2025-10-10T00:34:43.1105956Z  * [new tag]                 trunk/b13cd141b3585c2ae89ad7747acd11203a2fb837 -> trunk/b13cd141b3585c2ae89ad7747acd11203a2fb837
2025-10-10T00:34:43.1106410Z  * [new tag]                 trunk/b1ac252f55f4a4d0e5488fb2ac9154154decec87 -> trunk/b1ac252f55f4a4d0e5488fb2ac9154154decec87
2025-10-10T00:34:43.1107203Z  * [new tag]                 trunk/b28b24a9fc7d391c5793a94489a3f2d5381f6ad7 -> trunk/b28b24a9fc7d391c5793a94489a3f2d5381f6ad7
2025-10-10T00:34:43.1107822Z  * [new tag]                 trunk/b2b3947565fd0c27ebd4941152c964eab30370e2 -> trunk/b2b3947565fd0c27ebd4941152c964eab30370e2
2025-10-10T00:34:43.1108267Z  * [new tag]                 trunk/b558c986e8ec693b531ad2817026393c55d72eb6 -> trunk/b558c986e8ec693b531ad2817026393c55d72eb6
2025-10-10T00:34:43.1109427Z  * [new tag]                 trunk/b5e93ffdcf779c703af5c8119636b01f250eafcd -> trunk/b5e93ffdcf779c703af5c8119636b01f250eafcd
2025-10-10T00:34:43.1109792Z  * [new tag]                 trunk/b63bbe16615cc7680836dbb151bd848bce4893d6 -> trunk/b63bbe16615cc7680836dbb151bd848bce4893d6
2025-10-10T00:34:43.1110298Z  * [new tag]                 trunk/b6b7a44dec63495d57946cbfe8f2accb8f876db2 -> trunk/b6b7a44dec63495d57946cbfe8f2accb8f876db2
2025-10-10T00:34:43.1110618Z  * [new tag]                 trunk/b9e73e639e36f3aa628752161711e68878231b30 -> trunk/b9e73e639e36f3aa628752161711e68878231b30
2025-10-10T00:34:43.1113796Z  * [new tag]                 trunk/ba480d6bf78ea446d1268d9b5b3a0dbb490c9c88 -> trunk/ba480d6bf78ea446d1268d9b5b3a0dbb490c9c88
2025-10-10T00:34:43.1114238Z  * [new tag]                 trunk/bac0f289a35f05052740076fc5671271a3d487c2 -> trunk/bac0f289a35f05052740076fc5671271a3d487c2
2025-10-10T00:34:43.1114627Z  * [new tag]                 trunk/bc1690c7e859dee8c47a7f0bbd3c43cc27c6fd2a -> trunk/bc1690c7e859dee8c47a7f0bbd3c43cc27c6fd2a
2025-10-10T00:34:43.1115012Z  * [new tag]                 trunk/bc33b10202fb7c3761bcabc166e02d96807d8739 -> trunk/bc33b10202fb7c3761bcabc166e02d96807d8739
2025-10-10T00:34:43.1115693Z  * [new tag]                 trunk/bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228 -> trunk/bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228
2025-10-10T00:34:43.1115988Z  * [new tag]                 trunk/bcd96cc6ff798281e66aabef6ce72542fdc97c7a -> trunk/bcd96cc6ff798281e66aabef6ce72542fdc97c7a
2025-10-10T00:34:43.1116246Z  * [new tag]                 trunk/bd3b98a8a5d68ddc84b20a4609b9ea90998bf95b -> trunk/bd3b98a8a5d68ddc84b20a4609b9ea90998bf95b
2025-10-10T00:34:43.1116487Z  * [new tag]                 trunk/bdc0a421d7bcc49db12f7593d2c213a6141da614 -> trunk/bdc0a421d7bcc49db12f7593d2c213a6141da614
2025-10-10T00:34:43.1116904Z  * [new tag]                 trunk/bde18c445dcb1d83e8ea0afae52f9b9bf8171f45 -> trunk/bde18c445dcb1d83e8ea0afae52f9b9bf8171f45
2025-10-10T00:34:43.1117167Z  * [new tag]                 trunk/bf717ce346203fc27e792f4bdcc31e979cd74fa9 -> trunk/bf717ce346203fc27e792f4bdcc31e979cd74fa9
2025-10-10T00:34:43.1121164Z  * [new tag]                 trunk/c0510dc447a1f105cb8758d2721380f7a7c380d1 -> trunk/c0510dc447a1f105cb8758d2721380f7a7c380d1
2025-10-10T00:34:43.1121637Z  * [new tag]                 trunk/c1f40d33c89b361a1edad17aa25cfff1ab4014fd -> trunk/c1f40d33c89b361a1edad17aa25cfff1ab4014fd
2025-10-10T00:34:43.1122039Z  * [new tag]                 trunk/c32118dc3e50505fd285e6e448a90883fce11535 -> trunk/c32118dc3e50505fd285e6e448a90883fce11535
2025-10-10T00:34:43.1122429Z  * [new tag]                 trunk/c45d56dd00546daa7d9044674233dba1ac7b6194 -> trunk/c45d56dd00546daa7d9044674233dba1ac7b6194
2025-10-10T00:34:43.1122834Z  * [new tag]                 trunk/c6329524d8670d5f9295cddcf7ebc3040ed9179e -> trunk/c6329524d8670d5f9295cddcf7ebc3040ed9179e
2025-10-10T00:34:43.1123673Z  * [new tag]                 trunk/c6a6c80a730ff4edaec0d2fc4a5ff9344edaed41 -> trunk/c6a6c80a730ff4edaec0d2fc4a5ff9344edaed41
2025-10-10T00:34:43.1123975Z  * [new tag]                 trunk/c7e30ae4dd9a58ed4f4bcbdc6afc2249cac94f28 -> trunk/c7e30ae4dd9a58ed4f4bcbdc6afc2249cac94f28
2025-10-10T00:34:43.1124216Z  * [new tag]                 trunk/c813617c53e6be91e77f47e9a3f713146d54f340 -> trunk/c813617c53e6be91e77f47e9a3f713146d54f340
2025-10-10T00:34:43.1124478Z  * [new tag]                 trunk/c855f8632e331b51d60d5f1bcc59d3181cb4bc82 -> trunk/c855f8632e331b51d60d5f1bcc59d3181cb4bc82
2025-10-10T00:34:43.1124897Z  * [new tag]                 trunk/c965d6dbb23a8b2338ffebf3f01c6f92ce5847d2 -> trunk/c965d6dbb23a8b2338ffebf3f01c6f92ce5847d2
2025-10-10T00:34:43.1125271Z  * [new tag]                 trunk/cac5e13e1384900c5acc4938c33d6037a61850d5 -> trunk/cac5e13e1384900c5acc4938c33d6037a61850d5
2025-10-10T00:34:43.1125629Z  * [new tag]                 trunk/cc71ab86a6985e85645424b727c766e031047ff6 -> trunk/cc71ab86a6985e85645424b727c766e031047ff6
2025-10-10T00:34:43.1125960Z  * [new tag]                 trunk/cd62a73dcb13102069aa827a6657f62d88cce095 -> trunk/cd62a73dcb13102069aa827a6657f62d88cce095
2025-10-10T00:34:43.1127340Z  * [new tag]                 trunk/cf0a00d4f38775e5a82a166e367f40383c606963 -> trunk/cf0a00d4f38775e5a82a166e367f40383c606963
2025-10-10T00:34:43.1127792Z  * [new tag]                 trunk/cfc5cc17dc4fa6be41b4b31eb6e63d3863479452 -> trunk/cfc5cc17dc4fa6be41b4b31eb6e63d3863479452
2025-10-10T00:34:43.1128360Z  * [new tag]                 trunk/cfd46d13e6e1308add3a9f287b4855ccc3f2e66c -> trunk/cfd46d13e6e1308add3a9f287b4855ccc3f2e66c
2025-10-10T00:34:43.1128746Z  * [new tag]                 trunk/d1a62c80363cf769552453eed187e935f905737d -> trunk/d1a62c80363cf769552453eed187e935f905737d
2025-10-10T00:34:43.1129098Z  * [new tag]                 trunk/d1cbb74fb16406488a174832e1b58b7c242f418d -> trunk/d1cbb74fb16406488a174832e1b58b7c242f418d
2025-10-10T00:34:43.1130242Z  * [new tag]                 trunk/d386325ca9a142419f45b987391f4bb175dd7d0b -> trunk/d386325ca9a142419f45b987391f4bb175dd7d0b
2025-10-10T00:34:43.1130623Z  * [new tag]                 trunk/d40a9bfb8da0dc1ac1e6e56b33a25979112874de -> trunk/d40a9bfb8da0dc1ac1e6e56b33a25979112874de
2025-10-10T00:34:43.1131000Z  * [new tag]                 trunk/d4443840036a00a30afcf066cb23f4525e590809 -> trunk/d4443840036a00a30afcf066cb23f4525e590809
2025-10-10T00:34:43.1132719Z  * [new tag]                 trunk/d4752bc7f6818a3df5356a9de61afe1d3e27ade9 -> trunk/d4752bc7f6818a3df5356a9de61afe1d3e27ade9
2025-10-10T00:34:43.1133152Z  * [new tag]                 trunk/da49a57d3462332b26cb7ee58910b5bc67e5772c -> trunk/da49a57d3462332b26cb7ee58910b5bc67e5772c
2025-10-10T00:34:43.1133534Z  * [new tag]                 trunk/da903b6a8be422529d47649e89c0d50bb95c37ca -> trunk/da903b6a8be422529d47649e89c0d50bb95c37ca
2025-10-10T00:34:43.1133917Z  * [new tag]                 trunk/dca73982c53e9f99f96246b5d9ed9bab83c7423f -> trunk/dca73982c53e9f99f96246b5d9ed9bab83c7423f
2025-10-10T00:34:43.1134201Z  * [new tag]                 trunk/ddf8de28c25944a58e739ba9996b06753e4199cc -> trunk/ddf8de28c25944a58e739ba9996b06753e4199cc
2025-10-10T00:34:43.1135883Z  * [new tag]                 trunk/df640df68a5275684eaae3080a9c97a0c61469c8 -> trunk/df640df68a5275684eaae3080a9c97a0c61469c8
2025-10-10T00:34:43.1136154Z  * [new tag]                 trunk/e09fb44ef177005c4a11c28be24781429d416a3e -> trunk/e09fb44ef177005c4a11c28be24781429d416a3e
2025-10-10T00:34:43.1136433Z  * [new tag]                 trunk/e0cb1848d0fd9fb4467ad8b844c565aea5071838 -> trunk/e0cb1848d0fd9fb4467ad8b844c565aea5071838
2025-10-10T00:34:43.1136992Z  * [new tag]                 trunk/e3ae80fc036da356e3748d134689741583552f09 -> trunk/e3ae80fc036da356e3748d134689741583552f09
2025-10-10T00:34:43.1139053Z  * [new tag]                 trunk/e40fe634b1a7aa33e278b1404ee02dea12277080 -> trunk/e40fe634b1a7aa33e278b1404ee02dea12277080
2025-10-10T00:34:43.1139632Z  * [new tag]                 trunk/e438db254602cf39ba536aed0590b4144c019ee8 -> trunk/e438db254602cf39ba536aed0590b4144c019ee8
2025-10-10T00:34:43.1139966Z  * [new tag]                 trunk/e532f62e0d96e56cb28fa6a0ba6d981896a65d52 -> trunk/e532f62e0d96e56cb28fa6a0ba6d981896a65d52
2025-10-10T00:34:43.1140212Z  * [new tag]                 trunk/e6d4b26776842307475b368db60e27ac1bcede86 -> trunk/e6d4b26776842307475b368db60e27ac1bcede86
2025-10-10T00:34:43.1140585Z  * [new tag]                 trunk/e7ed1a00eb5510d1c7dccd17b5c0ebb54231284f -> trunk/e7ed1a00eb5510d1c7dccd17b5c0ebb54231284f
2025-10-10T00:34:43.1141266Z  * [new tag]                 trunk/e7fd2969303ab931f5e5875eca676018e1acd089 -> trunk/e7fd2969303ab931f5e5875eca676018e1acd089
2025-10-10T00:34:43.1141500Z  * [new tag]                 trunk/e89d12bf5d6b69c153cd000ef278fca59f03226d -> trunk/e89d12bf5d6b69c153cd000ef278fca59f03226d
2025-10-10T00:34:43.1142137Z  * [new tag]                 trunk/e98c4e835b1db22092fc93b49d2cddd7b3537d1f -> trunk/e98c4e835b1db22092fc93b49d2cddd7b3537d1f
2025-10-10T00:34:43.1142470Z  * [new tag]                 trunk/ea42517e454d2e47391646bbb897f5fc51147b9d -> trunk/ea42517e454d2e47391646bbb897f5fc51147b9d
2025-10-10T00:34:43.1142994Z  * [new tag]                 trunk/eaa02655eabd24609744c2251ac40d39d86ebb39 -> trunk/eaa02655eabd24609744c2251ac40d39d86ebb39
2025-10-10T00:34:43.1143903Z  * [new tag]                 trunk/eccf561326147894d57482a5aba7a2290005b257 -> trunk/eccf561326147894d57482a5aba7a2290005b257
2025-10-10T00:34:43.1146979Z  * [new tag]                 trunk/ece5e0f01b68509342f85fa388ca61936dc18b20 -> trunk/ece5e0f01b68509342f85fa388ca61936dc18b20
2025-10-10T00:34:43.1147354Z  * [new tag]                 trunk/ed2d514ad860229f6d364688f9db27dad034cd83 -> trunk/ed2d514ad860229f6d364688f9db27dad034cd83
2025-10-10T00:34:43.1147686Z  * [new tag]                 trunk/ed6156e3ea334b9b8d395e5a9f76fa3ba7408c06 -> trunk/ed6156e3ea334b9b8d395e5a9f76fa3ba7408c06
2025-10-10T00:34:43.1147943Z  * [new tag]                 trunk/ee5389d520844db36374e86c986b9ff8f47ac4bb -> trunk/ee5389d520844db36374e86c986b9ff8f47ac4bb
2025-10-10T00:34:43.1148318Z  * [new tag]                 trunk/ee6a1ecb0a1035f068484c8fcfba44b2efc9e837 -> trunk/ee6a1ecb0a1035f068484c8fcfba44b2efc9e837
2025-10-10T00:34:43.1153680Z  * [new tag]                 trunk/ef50c6e3e3d83bfd67e50930eea9a3a9db084061 -> trunk/ef50c6e3e3d83bfd67e50930eea9a3a9db084061
2025-10-10T00:34:43.1154112Z  * [new tag]                 trunk/ef7e2ca77e3f554ced81eb614f15fb84249d4a7e -> trunk/ef7e2ca77e3f554ced81eb614f15fb84249d4a7e
2025-10-10T00:34:43.1154505Z  * [new tag]                 trunk/f006aee601cb72077f4b1dbc3f7f0f685e57a1a9 -> trunk/f006aee601cb72077f4b1dbc3f7f0f685e57a1a9
2025-10-10T00:34:43.1154866Z  * [new tag]                 trunk/f05e23e1bc1439e19145e43e8ffca0051cda2f33 -> trunk/f05e23e1bc1439e19145e43e8ffca0051cda2f33
2025-10-10T00:34:43.1155650Z  * [new tag]                 trunk/f0c9f3bddbf7ad77d5d3a8803c23bb47bfb71d79 -> trunk/f0c9f3bddbf7ad77d5d3a8803c23bb47bfb71d79
2025-10-10T00:34:43.1156087Z  * [new tag]                 trunk/f11ac803d73b90d7e1f7bde962b9afe6b5967eb7 -> trunk/f11ac803d73b90d7e1f7bde962b9afe6b5967eb7
2025-10-10T00:34:43.1156444Z  * [new tag]                 trunk/f1229b6db946c290cc5bdea05dde69fc01e0bed0 -> trunk/f1229b6db946c290cc5bdea05dde69fc01e0bed0
2025-10-10T00:34:43.1156776Z  * [new tag]                 trunk/f231be25c679adb47ac3e483dc68948e5ad137a4 -> trunk/f231be25c679adb47ac3e483dc68948e5ad137a4
2025-10-10T00:34:43.1157454Z  * [new tag]                 trunk/f33201729416ed17467228e80b04d01d4d02b5f3 -> trunk/f33201729416ed17467228e80b04d01d4d02b5f3
2025-10-10T00:34:43.1157746Z  * [new tag]                 trunk/f37a6523efe1b9bf7f6b5b5d0f36dc461a3fda2a -> trunk/f37a6523efe1b9bf7f6b5b5d0f36dc461a3fda2a
2025-10-10T00:34:43.1158000Z  * [new tag]                 trunk/f39789cdabb6465f21666bd001829e1f7284d754 -> trunk/f39789cdabb6465f21666bd001829e1f7284d754
2025-10-10T00:34:43.1158244Z  * [new tag]                 trunk/f3afbcf3407783e54ec2795b06ae744f645320ba -> trunk/f3afbcf3407783e54ec2795b06ae744f645320ba
2025-10-10T00:34:43.1158627Z  * [new tag]                 trunk/f3e43ff2d73f375487b1b71483bbecb6cdad8920 -> trunk/f3e43ff2d73f375487b1b71483bbecb6cdad8920
2025-10-10T00:34:43.1158868Z  * [new tag]                 trunk/f414aa8e0d17e8eff38a93cebd52436e53f50eba -> trunk/f414aa8e0d17e8eff38a93cebd52436e53f50eba
2025-10-10T00:34:43.1159110Z  * [new tag]                 trunk/f465ea6752c91498de63eb57439a74f4836e568a -> trunk/f465ea6752c91498de63eb57439a74f4836e568a
2025-10-10T00:34:43.1159361Z  * [new tag]                 trunk/f46bb04dcc37a9b394e414569aef8aef69f9bf53 -> trunk/f46bb04dcc37a9b394e414569aef8aef69f9bf53
2025-10-10T00:34:43.1159612Z  * [new tag]                 trunk/f46ddb1e65b595c80f285dc42aa8549970736aae -> trunk/f46ddb1e65b595c80f285dc42aa8549970736aae
2025-10-10T00:34:43.1159851Z  * [new tag]                 trunk/f4cf75688f0fd93466589addfb7d0ec33e46e3bf -> trunk/f4cf75688f0fd93466589addfb7d0ec33e46e3bf
2025-10-10T00:34:43.1160089Z  * [new tag]                 trunk/f505caa71bd2e4d1e708e20a3665b834134e08fc -> trunk/f505caa71bd2e4d1e708e20a3665b834134e08fc
2025-10-10T00:34:43.1160330Z  * [new tag]                 trunk/f5fd18f7e24378bd9eb91404f697f1c81a8187d5 -> trunk/f5fd18f7e24378bd9eb91404f697f1c81a8187d5
2025-10-10T00:34:43.1160555Z  * [new tag]                 trunk/f6de195616432f42a545b98ea41cc816019d1c60 -> trunk/f6de195616432f42a545b98ea41cc816019d1c60
2025-10-10T00:34:43.1165597Z  * [new tag]                 trunk/f6f76767563d4293a0f78551edf4675a5794c570 -> trunk/f6f76767563d4293a0f78551edf4675a5794c570
2025-10-10T00:34:43.1166058Z  * [new tag]                 trunk/f7082e92b3635e89906fae514506152a2ec844a0 -> trunk/f7082e92b3635e89906fae514506152a2ec844a0
2025-10-10T00:34:43.1166431Z  * [new tag]                 trunk/f713abab16cb98c15f486e9822dd261279cce252 -> trunk/f713abab16cb98c15f486e9822dd261279cce252
2025-10-10T00:34:43.1166798Z  * [new tag]                 trunk/f76fdcaaf8b6d5f97c7f63705400ebed8984f869 -> trunk/f76fdcaaf8b6d5f97c7f63705400ebed8984f869
2025-10-10T00:34:43.1167491Z  * [new tag]                 trunk/f79e212733ca89ce3cc99a3072e50351686e5568 -> trunk/f79e212733ca89ce3cc99a3072e50351686e5568
2025-10-10T00:34:43.1167766Z  * [new tag]                 trunk/f7ad6dbad67161333a1473d1e0b478b7475a0ec1 -> trunk/f7ad6dbad67161333a1473d1e0b478b7475a0ec1
2025-10-10T00:34:43.1168025Z  * [new tag]                 trunk/fa5306b4f5bea89d80b9f14926712119aab78161 -> trunk/fa5306b4f5bea89d80b9f14926712119aab78161
2025-10-10T00:34:43.1168297Z  * [new tag]                 trunk/fac6f20ae3a68fa49e19571a1fc4bcdddbf87d80 -> trunk/fac6f20ae3a68fa49e19571a1fc4bcdddbf87d80
2025-10-10T00:34:43.1168559Z  * [new tag]                 trunk/fac85fcfb5ad0e63438d808a2f9ba7ea2dff9ad4 -> trunk/fac85fcfb5ad0e63438d808a2f9ba7ea2dff9ad4
2025-10-10T00:34:43.1168836Z  * [new tag]                 trunk/fd3e15c14f4fc474af610b482382a2c85729f50d -> trunk/fd3e15c14f4fc474af610b482382a2c85729f50d
2025-10-10T00:34:43.1169099Z  * [new tag]                 trunk/fd4bde430a51e5f216295c950d962c6343119821 -> trunk/fd4bde430a51e5f216295c950d962c6343119821
2025-10-10T00:34:43.1169351Z  * [new tag]                 trunk/fdc622b513610b53ddcdc0b40282df9beae369bd -> trunk/fdc622b513610b53ddcdc0b40282df9beae369bd
2025-10-10T00:34:43.1169605Z  * [new tag]                 trunk/fdc8ccc5bc433478c2a114016e193f5665d1e370 -> trunk/fdc8ccc5bc433478c2a114016e193f5665d1e370
2025-10-10T00:34:43.1169868Z  * [new tag]                 trunk/ff5faa744a52561f4c6a138089123fd8d41cab73 -> trunk/ff5faa744a52561f4c6a138089123fd8d41cab73
2025-10-10T00:34:43.1169985Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-10-10T00:34:43.1170102Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-10-10T00:34:43.1170200Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-10-10T00:34:43.1170301Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-10-10T00:34:43.1170544Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-10-10T00:34:43.1172570Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-10-10T00:34:43.1172854Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-10-10T00:34:43.1173160Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-10-10T00:34:43.1173353Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-10-10T00:34:43.1173449Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-10-10T00:34:43.1173718Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-10-10T00:34:43.1173834Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-10-10T00:34:43.1173941Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-10-10T00:34:43.1179389Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-10-10T00:34:43.1179690Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-10-10T00:34:43.1179840Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-10-10T00:34:43.1179939Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-10-10T00:34:43.1180052Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-10-10T00:34:43.1180165Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-10-10T00:34:43.1180404Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-10-10T00:34:43.1180575Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-10-10T00:34:43.1180829Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-10-10T00:34:43.1180944Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-10-10T00:34:43.1181085Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-10-10T00:34:43.1181194Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-10-10T00:34:43.1181307Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-10-10T00:34:43.1181424Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-10-10T00:34:43.1181523Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-10-10T00:34:43.1181616Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-10-10T00:34:43.1181727Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-10-10T00:34:43.1181823Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-10-10T00:34:43.1182115Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-10-10T00:34:43.1184462Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-10-10T00:34:43.1184622Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-10-10T00:34:43.1184734Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-10-10T00:34:43.1184847Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-10-10T00:34:43.1185465Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-10-10T00:34:43.1186357Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-10-10T00:34:43.1186969Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-10-10T00:34:43.1187484Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-10-10T00:34:43.1190494Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-10-10T00:34:43.1190658Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-10-10T00:34:43.1190791Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-10-10T00:34:43.1191112Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-10-10T00:34:43.1191235Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-10-10T00:34:43.1191344Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-10-10T00:34:43.1192423Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-10-10T00:34:43.1192594Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-10-10T00:34:43.1193120Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-10-10T00:34:43.1193587Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-10-10T00:34:43.1194587Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-10-10T00:34:43.1194735Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-10-10T00:34:43.1197890Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-10-10T00:34:43.1198038Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-10-10T00:34:43.1198156Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-10-10T00:34:43.1198265Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-10-10T00:34:43.1198386Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-10-10T00:34:43.1198955Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-10-10T00:34:43.1199206Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-10-10T00:34:43.1202595Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-10-10T00:34:43.1202895Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-10-10T00:34:43.1203024Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-10-10T00:34:43.1203360Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-10-10T00:34:43.1203478Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-10-10T00:34:43.1203727Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-10-10T00:34:43.1203936Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-10-10T00:34:43.1204037Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-10-10T00:34:43.1218797Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-10-10T00:34:43.1219237Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-10-10T00:34:43.1219367Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-10-10T00:34:43.1219495Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-10-10T00:34:43.1219603Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-10-10T00:34:43.1219697Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-10-10T00:34:43.1219824Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-10-10T00:34:43.1219935Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-10-10T00:34:43.1220033Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-10-10T00:34:43.1220134Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-10-10T00:34:43.1220237Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-10-10T00:34:43.1220332Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-10-10T00:34:43.1220442Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-10-10T00:34:43.1220536Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-10-10T00:34:43.1220643Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-10-10T00:34:43.1220740Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-10-10T00:34:43.1220840Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-10-10T00:34:43.1220945Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-10-10T00:34:43.1221041Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-10-10T00:34:43.1221146Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-10-10T00:34:43.1221337Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-10-10T00:34:43.1221445Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-10-10T00:34:43.1221543Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-10-10T00:34:43.1221642Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-10-10T00:34:43.1221748Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-10-10T00:34:43.1221846Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-10-10T00:34:43.1221954Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-10-10T00:34:43.1222059Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-10-10T00:34:43.1222157Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-10-10T00:34:43.1222263Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-10-10T00:34:43.1222360Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-10-10T00:34:43.1222730Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-10-10T00:34:43.1222961Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-10-10T00:34:43.1224041Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-10-10T00:34:43.1224445Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-10-10T00:34:43.1224800Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-10-10T00:34:43.1226343Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-10-10T00:34:43.1226550Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-10-10T00:34:43.1226966Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-10-10T00:34:43.1227169Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-10-10T00:34:43.1233197Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-10-10T00:34:43.1237739Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-10-10T00:34:43.1237877Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-10-10T00:34:43.1238291Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-10-10T00:34:43.1238445Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-10-10T00:34:43.1238549Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-10-10T00:34:43.1238658Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-10-10T00:34:43.1238796Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-10-10T00:34:43.1238902Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-10-10T00:34:43.1239014Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-10-10T00:34:43.1239116Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-10-10T00:34:43.1239229Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-10-10T00:34:43.1239329Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-10-10T00:34:43.1239427Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-10-10T00:34:43.1239550Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-10-10T00:34:43.1239646Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-10-10T00:34:43.1240199Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-10-10T00:34:43.1240573Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-10-10T00:34:43.1240946Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-10-10T00:34:43.1241124Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-10-10T00:34:43.1241326Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-10-10T00:34:43.1242116Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-10-10T00:34:43.1247492Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-10-10T00:34:43.1253160Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-10-10T00:34:43.1253685Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-10-10T00:34:43.1253828Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-10-10T00:34:43.1253941Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-10-10T00:34:43.1254065Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-10-10T00:34:43.1254166Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-10-10T00:34:43.1254288Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-10-10T00:34:43.1254392Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-10-10T00:34:43.1254502Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-10-10T00:34:43.1254608Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-10-10T00:34:43.1254709Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-10-10T00:34:43.1254817Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-10-10T00:34:43.1254923Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-10-10T00:34:43.1255056Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-10-10T00:34:43.1255178Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-10-10T00:34:43.1255426Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-10-10T00:34:43.1255536Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-10-10T00:34:43.1255632Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-10-10T00:34:43.1255743Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-10-10T00:34:43.1255842Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-10-10T00:34:43.1255948Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-10-10T00:34:43.1256351Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-10-10T00:34:43.1256667Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-10-10T00:34:43.1258664Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-10-10T00:34:43.1258954Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-10-10T00:34:43.1259122Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-10-10T00:34:43.1259324Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-10-10T00:34:43.1259617Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-10-10T00:34:43.1260729Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-10-10T00:34:43.1261233Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-10-10T00:34:43.1261385Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-10-10T00:34:43.1261947Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-10-10T00:34:43.1262390Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-10-10T00:34:43.1262833Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-10-10T00:34:43.1263808Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-10-10T00:34:43.1263999Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-10-10T00:34:43.1265355Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-10-10T00:34:43.1266526Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-10-10T00:34:43.1266705Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-10-10T00:34:43.1267671Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-10-10T00:34:43.1268155Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-10-10T00:34:43.1270928Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-10-10T00:34:43.1271082Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-10-10T00:34:43.1271198Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-10-10T00:34:43.1271302Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-10-10T00:34:43.1271417Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-10-10T00:34:43.1273502Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-10-10T00:34:43.1273641Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-10-10T00:34:43.1273769Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-10-10T00:34:43.1273872Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-10-10T00:34:43.1274279Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-10-10T00:34:43.1275165Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-10-10T00:34:43.1275398Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-10-10T00:34:43.1276431Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-10-10T00:34:43.1276622Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-10-10T00:34:43.1277662Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-10-10T00:34:43.1278220Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-10-10T00:34:43.1278732Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-10-10T00:34:43.1279699Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-10-10T00:34:43.1279857Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-10-10T00:34:43.1280911Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-10-10T00:34:43.1281682Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-10-10T00:34:43.1281867Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-10-10T00:34:43.1282742Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-10-10T00:34:43.1282916Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-10-10T00:34:43.1283948Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-10-10T00:34:43.1284301Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-10-10T00:34:43.1284951Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-10-10T00:34:43.1285415Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-10-10T00:34:43.1286308Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-10-10T00:34:43.1286676Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-10-10T00:34:43.1287541Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-10-10T00:34:43.1288006Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-10-10T00:34:43.1288990Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-10-10T00:34:43.1289185Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-10-10T00:34:43.1290272Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-10-10T00:34:43.1290503Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-10-10T00:34:43.1291021Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-10-10T00:34:43.1291284Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-10-10T00:34:43.1296641Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-10-10T00:34:43.1297302Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-10-10T00:34:43.1297889Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-10-10T00:34:43.1298732Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-10-10T00:34:43.1299663Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-10-10T00:34:43.1300169Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-10-10T00:34:43.1301112Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-10-10T00:34:43.1301625Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-10-10T00:34:43.1302496Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-10-10T00:34:43.1303416Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-10-10T00:34:43.1303825Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-10-10T00:34:43.1304432Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-10-10T00:34:43.1305401Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-10-10T00:34:43.1305700Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-10-10T00:34:43.1306776Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-10-10T00:34:43.1307208Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-10-10T00:34:43.1308153Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-10-10T00:34:43.1308362Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-10-10T00:34:43.1309725Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-10-10T00:34:43.1309962Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-10-10T00:34:43.1312192Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-10-10T00:34:43.1312346Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-10-10T00:34:43.1317483Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-10-10T00:34:43.1317808Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-10-10T00:34:43.1318091Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-10-10T00:34:43.1318202Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-10-10T00:34:43.1318326Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-10-10T00:34:43.1318432Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-10-10T00:34:43.1318547Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-10-10T00:34:43.1318656Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-10-10T00:34:43.1318763Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-10-10T00:34:43.1318876Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-10-10T00:34:43.1324848Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-10-10T00:34:43.1324988Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-10-10T00:34:43.1325095Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-10-10T00:34:43.1325202Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-10-10T00:34:43.1325458Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-10-10T00:34:43.1325558Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-10-10T00:34:43.1325671Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-10-10T00:34:43.1327076Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-10-10T00:34:43.1327260Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-10-10T00:34:43.1327360Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-10-10T00:34:43.1327477Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-10-10T00:34:43.1327678Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-10-10T00:34:43.1327829Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-10-10T00:34:43.1327975Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-10-10T00:34:43.1330374Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-10-10T00:34:43.1330812Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-10-10T00:34:43.1331005Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-10-10T00:34:43.1331137Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-10-10T00:34:43.1331287Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-10-10T00:34:43.1331429Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-10-10T00:34:43.1334142Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-10-10T00:34:43.1334466Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-10-10T00:34:43.1334606Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-10-10T00:34:43.1334738Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-10-10T00:34:43.1334863Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-10-10T00:34:43.1335055Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-10-10T00:34:43.1335193Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-10-10T00:34:43.1335457Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-10-10T00:34:43.1335607Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-10-10T00:34:43.1335947Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-10-10T00:34:43.1337027Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-10-10T00:34:43.1337197Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-10-10T00:34:43.1337750Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-10-10T00:34:43.1338047Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-10-10T00:34:43.1338857Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-10-10T00:34:43.1339083Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-10-10T00:34:43.1339986Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-10-10T00:34:43.1340263Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-10-10T00:34:43.1340703Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-10-10T00:34:43.1341194Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-10-10T00:34:43.1341742Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-10-10T00:34:43.1342288Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-10-10T00:34:43.1342705Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-10-10T00:34:43.1343257Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-10-10T00:34:43.1343683Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-10-10T00:34:43.1344259Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-10-10T00:34:43.1345341Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-10-10T00:34:43.1345628Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-10-10T00:34:43.1346177Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-10-10T00:34:43.1346765Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-10-10T00:34:43.1347180Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-10-10T00:34:43.1347890Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-10-10T00:34:43.1348222Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-10-10T00:34:43.1349047Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-10-10T00:34:43.1349284Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-10-10T00:34:43.1349786Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-10-10T00:34:43.1354731Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-10-10T00:34:43.1354911Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-10-10T00:34:43.1355048Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-10-10T00:34:43.1355196Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-10-10T00:34:43.1355323Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-10-10T00:34:43.1355600Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-10-10T00:34:43.1355742Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-10-10T00:34:43.1355868Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-10-10T00:34:43.1355997Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-10-10T00:34:43.1356130Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-10-10T00:34:43.1356267Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-10-10T00:34:43.1356389Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-10-10T00:34:43.1356515Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-10-10T00:34:43.1357149Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-10-10T00:34:43.1357290Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-10-10T00:34:43.1357886Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-10-10T00:34:43.1358353Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-10-10T00:34:43.1358890Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-10-10T00:34:43.1359326Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-10-10T00:34:43.1359817Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-10-10T00:34:43.1360277Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-10-10T00:34:43.1360713Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-10-10T00:34:43.1363415Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-10-10T00:34:43.1363612Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-10-10T00:34:43.1363750Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-10-10T00:34:43.1363879Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-10-10T00:34:43.1364016Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-10-10T00:34:43.1364304Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-10-10T00:34:43.1364583Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-10-10T00:34:43.1364882Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-10-10T00:34:43.1365522Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-10-10T00:34:43.1365946Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-10-10T00:34:43.1366718Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-10-10T00:34:43.1366901Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-10-10T00:34:43.1367677Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-10-10T00:34:43.1367929Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-10-10T00:34:43.1368738Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-10-10T00:34:43.1368935Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-10-10T00:34:43.1369844Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-10-10T00:34:43.1369989Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-10-10T00:34:43.1370610Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-10-10T00:34:43.1371048Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-10-10T00:34:43.1371649Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-10-10T00:34:43.1371966Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-10-10T00:34:43.1372895Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-10-10T00:34:43.1373128Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-10-10T00:34:43.1373573Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-10-10T00:34:43.1373958Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-10-10T00:34:43.1374732Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-10-10T00:34:43.1375037Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-10-10T00:34:43.1375645Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-10-10T00:34:43.1376041Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-10-10T00:34:43.1376601Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-10-10T00:34:43.1376995Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-10-10T00:34:43.1378329Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-10-10T00:34:43.1378545Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-10-10T00:34:43.1378919Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-10-10T00:34:43.1379910Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-10-10T00:34:43.1380219Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-10-10T00:34:43.1380374Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-10-10T00:34:43.1380937Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-10-10T00:34:43.1381328Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
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2025-10-10T00:34:43.1382991Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-10-10T00:34:43.1383334Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-10-10T00:34:43.1384251Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-10-10T00:34:43.1384408Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-10-10T00:34:43.1385301Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-10-10T00:34:43.1385549Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-10-10T00:34:43.1385943Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-10-10T00:34:43.1386502Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-10-10T00:34:43.1387356Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-10-10T00:34:43.1387858Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-10-10T00:34:43.1388894Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-10-10T00:34:43.1389760Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-10-10T00:34:43.1978913Z [command]/usr/bin/git rev-parse --verify --quiet 344e6365a0068c2d2847fcec0c55dd53291d475e^{object}
2025-10-10T00:34:43.2005404Z 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:34:43.2011694Z ##[endgroup]
2025-10-10T00:34:43.2011943Z ##[group]Determining the checkout info
2025-10-10T00:34:43.2012136Z ##[endgroup]
2025-10-10T00:34:43.2016823Z [command]/usr/bin/git sparse-checkout disable
2025-10-10T00:34:43.2054616Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-10-10T00:34:43.2087119Z ##[group]Checking out the ref
2025-10-10T00:34:43.2087414Z [command]/usr/bin/git checkout --progress --force 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:34:44.2310486Z Updating files:  94% (18906/19929)
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2025-10-10T00:34:44.3087280Z Updating files: 100% (19929/19929), done.
2025-10-10T00:34:44.3317300Z Note: switching to '344e6365a0068c2d2847fcec0c55dd53291d475e'.
2025-10-10T00:34:44.3317768Z 
2025-10-10T00:34:44.3318199Z You are in 'detached HEAD' state. You can look around, make experimental
2025-10-10T00:34:44.3318560Z changes and commit them, and you can discard any commits you make in this
2025-10-10T00:34:44.3318939Z state without impacting any branches by switching back to a branch.
2025-10-10T00:34:44.3319167Z 
2025-10-10T00:34:44.3319317Z If you want to create a new branch to retain commits you create, you may
2025-10-10T00:34:44.3319645Z do so (now or later) by using -c with the switch command. Example:
2025-10-10T00:34:44.3319835Z 
2025-10-10T00:34:44.3319928Z   git switch -c <new-branch-name>
2025-10-10T00:34:44.3320071Z 
2025-10-10T00:34:44.3320155Z Or undo this operation with:
2025-10-10T00:34:44.3320280Z 
2025-10-10T00:34:44.3320359Z   git switch -
2025-10-10T00:34:44.3320457Z 
2025-10-10T00:34:44.3320628Z Turn off this advice by setting config variable advice.detachedHead to false
2025-10-10T00:34:44.3320869Z 
2025-10-10T00:34:44.3321098Z HEAD is now at 344e6365a00 [inductor][eazy] change how torch.use_deterministic_algorithms affect inductor (#164905)
2025-10-10T00:34:44.3379321Z ##[endgroup]
2025-10-10T00:34:44.3379722Z ##[group]Setting up auth for fetching submodules
2025-10-10T00:34:44.3384487Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-10-10T00:34:44.3449290Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-10-10T00:34:44.3479744Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-10-10T00:34:44.3506289Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-10-10T00:34:44.3531231Z ##[endgroup]
2025-10-10T00:34:44.3531629Z ##[group]Fetching submodules
2025-10-10T00:34:44.3536794Z [command]/usr/bin/git submodule sync --recursive
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2025-10-10T00:34:44.4236713Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
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2025-10-10T00:34:44.4238096Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-10-10T00:34:44.4238688Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-10-10T00:34:44.4239240Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-10-10T00:34:44.4241149Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-10-10T00:34:44.4242196Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-10-10T00:34:44.4242747Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-10-10T00:34:44.4247333Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-10-10T00:34:44.4253112Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-10-10T00:34:44.4258082Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-10-10T00:34:44.4260214Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-10-10T00:34:44.4260875Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-10-10T00:34:44.4261515Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-10-10T00:34:44.4262075Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
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2025-10-10T00:34:44.4263982Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-10-10T00:34:44.4264588Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:34:44.4268279Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-10-10T00:34:44.4273108Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-10-10T00:34:44.4273728Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-10-10T00:34:44.4275834Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-10-10T00:34:44.4276634Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-10-10T00:34:44.4279178Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
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2025-10-10T00:34:44.4301599Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
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2025-10-10T00:34:44.6784194Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-10-10T00:34:44.6784665Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
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2025-10-10T00:34:46.1189567Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-10-10T00:34:46.1190017Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-10-10T00:34:46.1190472Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-10-10T00:34:46.1191084Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-10-10T00:34:46.1191526Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-10-10T00:34:46.1191989Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-10-10T00:34:46.1192470Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
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2025-10-10T00:34:46.1193627Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
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2025-10-10T00:34:46.1195863Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
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2025-10-10T00:34:46.1196757Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
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2025-10-10T00:34:46.5169017Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
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2025-10-10T00:34:57.6520413Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
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2025-10-10T00:34:57.6657204Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
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2025-10-10T00:34:57.8215842Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-10-10T00:34:58.3891416Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-10-10T00:34:58.5304324Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-10-10T00:34:58.5325008Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
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2025-10-10T00:35:02.4913808Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-10-10T00:35:02.5116594Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
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2025-10-10T00:35:03.6386826Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-10-10T00:35:03.6387742Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:35:03.6388485Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:35:03.6389678Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-10-10T00:35:03.6390681Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-10-10T00:35:03.6398070Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:35:03.6399019Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-10-10T00:35:03.6422002Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-10-10T00:35:04.9200852Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-10-10T00:35:04.9201479Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-10-10T00:35:04.9202027Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-10-10T00:35:05.0204342Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-10-10T00:35:07.4647670Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-10-10T00:35:07.5647706Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-10-10T00:35:10.4707243Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-10-10T00:35:10.7492107Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-10-10T00:35:10.8419813Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-10-10T00:35:11.3927466Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917'
2025-10-10T00:35:11.4344250Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:35:11.4463289Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-10-10T00:35:11.5391794Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-10-10T00:35:11.6009319Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-10-10T00:35:11.6027515Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:35:11.6029357Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:35:11.6056998Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-10-10T00:35:15.4969224Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-10-10T00:35:15.6908615Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-10-10T00:35:16.1937289Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-10-10T00:35:16.3104808Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-10-10T00:35:16.3383604Z Submodule path 'third_party/fmt': checked out 'e424e3f2e607da02742f73db84873b8084fc714c'
2025-10-10T00:35:16.3748699Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-10-10T00:35:16.3979806Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-10-10T00:35:16.4403509Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:35:16.4536090Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-10-10T00:35:16.4556346Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-10-10T00:35:16.4575449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-10-10T00:35:31.4249680Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-10-10T00:35:31.4427150Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-10-10T00:35:31.5278760Z Submodule path 'third_party/kineto': checked out '001ba8eb519438592f79dbc8e86a349f5f6c6829'
2025-10-10T00:35:31.5295511Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:35:31.5296433Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:35:31.5303714Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:35:31.5334072Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-10-10T00:35:32.1751211Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-10-10T00:35:32.7493788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-10-10T00:35:32.8292401Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-10-10T00:35:32.8309022Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:35:32.8311934Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:35:32.8312715Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:35:32.8313468Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:35:32.8314487Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:35:32.8323103Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:35:32.8327847Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:35:32.8332971Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:35:32.8337871Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:35:32.8353373Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-10-10T00:35:34.4164302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-10-10T00:35:34.4165311Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-10-10T00:35:34.4166205Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-10-10T00:35:34.4167219Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-10-10T00:35:34.4167911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-10-10T00:35:34.4168614Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-10-10T00:35:34.4169332Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-10-10T00:35:34.5165191Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-10-10T00:35:39.7511253Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-10-10T00:35:39.7672919Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-10-10T00:35:39.8000118Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-10-10T00:35:39.8138471Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-10-10T00:35:39.8154229Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:35:39.8181315Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-10-10T00:35:40.0894349Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-10-10T00:35:40.1062860Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-10-10T00:35:40.1480306Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:35:40.2362655Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-10-10T00:35:40.2513531Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-10-10T00:35:40.2670356Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-10-10T00:35:40.2684244Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:40.2685258Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:40.2711626Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-10-10T00:35:42.4542736Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-10-10T00:35:42.6867246Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-10-10T00:35:42.7284361Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-10-10T00:35:42.7585162Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-10-10T00:35:42.7993817Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:35:42.8388066Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-10-10T00:35:42.8739176Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-10-10T00:35:42.9742328Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-10-10T00:35:43.2759050Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-10-10T00:35:43.2792593Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-10-10T00:35:43.2820325Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-10-10T00:35:44.3604384Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-10-10T00:35:44.4183533Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-10-10T00:35:44.4207814Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:35:44.4208691Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:35:44.4209411Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:35:44.4210130Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:35:44.4211029Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:35:44.4211959Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:35:44.4213292Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:35:44.4216032Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:35:44.4244642Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-10-10T00:35:44.8421797Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-10-10T00:35:44.8422643Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-10-10T00:35:44.8423383Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-10-10T00:35:44.8424020Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-10-10T00:35:44.9423861Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-10-10T00:35:45.5288435Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-10-10T00:35:51.2169446Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-10-10T00:35:51.9280426Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-10-10T00:35:51.9648635Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-10-10T00:35:51.9819672Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-10-10T00:35:52.0755012Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-10-10T00:35:52.0888005Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-10-10T00:35:52.1022914Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-10-10T00:35:52.1165515Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-10-10T00:35:52.1180443Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:52.1181475Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:52.1211212Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-10-10T00:35:54.0488272Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-10-10T00:35:54.2781062Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-10-10T00:35:54.3206562Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-10-10T00:35:54.6630483Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-10-10T00:35:54.6739751Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-10-10T00:35:54.9033156Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-10-10T00:35:54.9053181Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:35:54.9054942Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
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2025-10-10T00:35:55.9224254Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
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2025-10-10T00:35:58.0735632Z ##[endgroup]
2025-10-10T00:35:58.0736063Z ##[group]Persisting credentials for submodules
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2025-10-10T00:35:58.5704039Z [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"
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2025-10-10T00:35:59.1336696Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-10-10T00:35:59.1358264Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:35:59.1402960Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-10-10T00:35:59.1415980Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:35:59.1464285Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-10-10T00:35:59.1479993Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:35:59.1527505Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-10-10T00:35:59.1543359Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:35:59.1594150Z 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
2025-10-10T00:35:59.2514797Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-10-10T00:35:59.2826969Z Entering 'android/libs/fbjni'
2025-10-10T00:35:59.2866221Z Entering 'third_party/FP16'
2025-10-10T00:35:59.2905991Z Entering 'third_party/FXdiv'
2025-10-10T00:35:59.2946896Z Entering 'third_party/NNPACK'
2025-10-10T00:35:59.2988332Z Entering 'third_party/NVTX'
2025-10-10T00:35:59.3035482Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:35:59.3075031Z Entering 'third_party/XNNPACK'
2025-10-10T00:35:59.3128406Z Entering 'third_party/aiter'
2025-10-10T00:35:59.3172073Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:35:59.3223252Z Entering 'third_party/benchmark'
2025-10-10T00:35:59.3261791Z Entering 'third_party/composable_kernel'
2025-10-10T00:35:59.3309196Z Entering 'third_party/cpp-httplib'
2025-10-10T00:35:59.3353861Z Entering 'third_party/cpuinfo'
2025-10-10T00:35:59.3402630Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:35:59.3437842Z Entering 'third_party/cutlass'
2025-10-10T00:35:59.3485889Z Entering 'third_party/fbgemm'
2025-10-10T00:35:59.3531591Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:35:59.3571675Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:35:59.3624541Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:35:59.3666857Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:35:59.3712735Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:35:59.3755385Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:35:59.3789512Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:35:59.3834084Z Entering 'third_party/flash-attention'
2025-10-10T00:35:59.3877445Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:35:59.3926396Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:35:59.3974768Z Entering 'third_party/flatbuffers'
2025-10-10T00:35:59.4018948Z Entering 'third_party/fmt'
2025-10-10T00:35:59.4060545Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:35:59.4103260Z Entering 'third_party/gloo'
2025-10-10T00:35:59.4142830Z Entering 'third_party/googletest'
2025-10-10T00:35:59.4182488Z Entering 'third_party/ideep'
2025-10-10T00:35:59.4221892Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:35:59.4271918Z Entering 'third_party/ittapi'
2025-10-10T00:35:59.4316092Z Entering 'third_party/kineto'
2025-10-10T00:35:59.4353892Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:35:59.4392526Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:35:59.4440226Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:35:59.4478501Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:35:59.4518268Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:35:59.4555240Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:35:59.4600797Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:35:59.4641416Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:35:59.4678994Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:35:59.4722915Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:35:59.4767923Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:35:59.4804440Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:59.4847675Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:59.4896553Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:35:59.4934037Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:35:59.4980712Z Entering 'third_party/kleidiai'
2025-10-10T00:35:59.5021966Z Entering 'third_party/mimalloc'
2025-10-10T00:35:59.5062489Z Entering 'third_party/nlohmann'
2025-10-10T00:35:59.5101891Z Entering 'third_party/onnx'
2025-10-10T00:35:59.5157757Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:35:59.5201226Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:35:59.5241509Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:35:59.5280071Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:35:59.5320430Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:35:59.5358920Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:35:59.5401257Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:35:59.5438183Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:35:59.5477503Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:35:59.5516269Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:59.5558868Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:59.5601079Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:35:59.5660387Z Entering 'third_party/pocketfft'
2025-10-10T00:35:59.5696022Z Entering 'third_party/protobuf'
2025-10-10T00:35:59.5742177Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:35:59.5783405Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:35:59.5827176Z Entering 'third_party/psimd'
2025-10-10T00:35:59.5865666Z Entering 'third_party/pthreadpool'
2025-10-10T00:35:59.5906562Z Entering 'third_party/pybind11'
2025-10-10T00:35:59.5950495Z Entering 'third_party/python-peachpy'
2025-10-10T00:35:59.5990300Z Entering 'third_party/sleef'
2025-10-10T00:35:59.6029406Z Entering 'third_party/tensorpipe'
2025-10-10T00:35:59.6072486Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:35:59.6115586Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:35:59.6157739Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:35:59.6205156Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:35:59.6239899Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:35:59.6302904Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-10-10T00:35:59.6618385Z Entering 'android/libs/fbjni'
2025-10-10T00:35:59.6659393Z Entering 'third_party/FP16'
2025-10-10T00:35:59.6700453Z Entering 'third_party/FXdiv'
2025-10-10T00:35:59.6742318Z Entering 'third_party/NNPACK'
2025-10-10T00:35:59.6785202Z Entering 'third_party/NVTX'
2025-10-10T00:35:59.6825812Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:35:59.6866832Z Entering 'third_party/XNNPACK'
2025-10-10T00:35:59.6919140Z Entering 'third_party/aiter'
2025-10-10T00:35:59.6959044Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:35:59.7005338Z Entering 'third_party/benchmark'
2025-10-10T00:35:59.7049084Z Entering 'third_party/composable_kernel'
2025-10-10T00:35:59.7097282Z Entering 'third_party/cpp-httplib'
2025-10-10T00:35:59.7136004Z Entering 'third_party/cpuinfo'
2025-10-10T00:35:59.7178199Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:35:59.7220577Z Entering 'third_party/cutlass'
2025-10-10T00:35:59.7270916Z Entering 'third_party/fbgemm'
2025-10-10T00:35:59.7318769Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:35:59.7360021Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:35:59.7409430Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:35:59.7446260Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:35:59.7494844Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:35:59.7538533Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:35:59.7575927Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:35:59.7623019Z Entering 'third_party/flash-attention'
2025-10-10T00:35:59.7666670Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:35:59.7712557Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:35:59.7764986Z Entering 'third_party/flatbuffers'
2025-10-10T00:35:59.7805796Z Entering 'third_party/fmt'
2025-10-10T00:35:59.7851665Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:35:59.7886800Z Entering 'third_party/gloo'
2025-10-10T00:35:59.7930803Z Entering 'third_party/googletest'
2025-10-10T00:35:59.7971571Z Entering 'third_party/ideep'
2025-10-10T00:35:59.8007520Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:35:59.8049289Z Entering 'third_party/ittapi'
2025-10-10T00:35:59.8086669Z Entering 'third_party/kineto'
2025-10-10T00:35:59.8129752Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:35:59.8168090Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:35:59.8210618Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:35:59.8254980Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:35:59.8299212Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:35:59.8338528Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:35:59.8381726Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:35:59.8427803Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:35:59.8463306Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:35:59.8503049Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:35:59.8540918Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:35:59.8581021Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:59.8625369Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:59.8671476Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:35:59.8708431Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:35:59.8750234Z Entering 'third_party/kleidiai'
2025-10-10T00:35:59.8789662Z Entering 'third_party/mimalloc'
2025-10-10T00:35:59.8833773Z Entering 'third_party/nlohmann'
2025-10-10T00:35:59.8878405Z Entering 'third_party/onnx'
2025-10-10T00:35:59.8931948Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:35:59.8978423Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:35:59.9021561Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:35:59.9065339Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:35:59.9106884Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:35:59.9143109Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:35:59.9186274Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:35:59.9226685Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:35:59.9267143Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:35:59.9304639Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:59.9353032Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:59.9388117Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:35:59.9443232Z Entering 'third_party/pocketfft'
2025-10-10T00:35:59.9485589Z Entering 'third_party/protobuf'
2025-10-10T00:35:59.9528427Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:35:59.9565442Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:35:59.9608292Z Entering 'third_party/psimd'
2025-10-10T00:35:59.9649906Z Entering 'third_party/pthreadpool'
2025-10-10T00:35:59.9690612Z Entering 'third_party/pybind11'
2025-10-10T00:35:59.9731609Z Entering 'third_party/python-peachpy'
2025-10-10T00:35:59.9768402Z Entering 'third_party/sleef'
2025-10-10T00:35:59.9813471Z Entering 'third_party/tensorpipe'
2025-10-10T00:35:59.9853249Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:35:59.9893707Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:35:59.9935460Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:35:59.9973608Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:36:00.0014157Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:36:00.0074229Z ##[endgroup]
2025-10-10T00:36:00.0105804Z [command]/usr/bin/git log -1 --format=%H
2025-10-10T00:36:00.0128228Z 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:36:00.0227258Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-10-10T00:36:00.0227543Z cd "${GITHUB_WORKSPACE}"
2025-10-10T00:36:00.0227792Z # Clean stale submodule dirs
2025-10-10T00:36:00.0228022Z if [ -z "${NO_SUDO}" ]; then
2025-10-10T00:36:00.0228360Z   sudo git submodule foreach --recursive git clean -ffdx
2025-10-10T00:36:00.0228660Z else
2025-10-10T00:36:00.0228879Z   git submodule foreach --recursive git clean -ffdx
2025-10-10T00:36:00.0229125Z fi
2025-10-10T00:36:00.0238294Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:00.0238542Z env:
2025-10-10T00:36:00.0238704Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:00.0238903Z   NO_SUDO: true
2025-10-10T00:36:00.0239064Z ##[endgroup]
2025-10-10T00:36:00.0574007Z Entering 'android/libs/fbjni'
2025-10-10T00:36:00.0604489Z Entering 'third_party/FP16'
2025-10-10T00:36:00.0635825Z Entering 'third_party/FXdiv'
2025-10-10T00:36:00.0672708Z Entering 'third_party/NNPACK'
2025-10-10T00:36:00.0705475Z Entering 'third_party/NVTX'
2025-10-10T00:36:00.0739610Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:36:00.0771158Z Entering 'third_party/XNNPACK'
2025-10-10T00:36:00.0871538Z Entering 'third_party/aiter'
2025-10-10T00:36:00.0905474Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:36:00.0995936Z Entering 'third_party/benchmark'
2025-10-10T00:36:00.1027962Z Entering 'third_party/composable_kernel'
2025-10-10T00:36:00.1125733Z Entering 'third_party/cpp-httplib'
2025-10-10T00:36:00.1160424Z Entering 'third_party/cpuinfo'
2025-10-10T00:36:00.1195678Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:36:00.1225099Z Entering 'third_party/cutlass'
2025-10-10T00:36:00.1306328Z Entering 'third_party/fbgemm'
2025-10-10T00:36:00.1363611Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:36:00.1388635Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:36:00.1484151Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:36:00.1520441Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:36:00.1602975Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:36:00.1635459Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:36:00.1659702Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:36:00.1698391Z Entering 'third_party/flash-attention'
2025-10-10T00:36:00.1740293Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:36:00.1821637Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:36:00.1896868Z Entering 'third_party/flatbuffers'
2025-10-10T00:36:00.1958534Z Entering 'third_party/fmt'
2025-10-10T00:36:00.1989303Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:36:00.2025274Z Entering 'third_party/gloo'
2025-10-10T00:36:00.2060162Z Entering 'third_party/googletest'
2025-10-10T00:36:00.2090699Z Entering 'third_party/ideep'
2025-10-10T00:36:00.2120156Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:36:00.2191143Z Entering 'third_party/ittapi'
2025-10-10T00:36:00.2223282Z Entering 'third_party/kineto'
2025-10-10T00:36:00.2260367Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:36:00.2299933Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:36:00.2343183Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:36:00.2374403Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:36:00.2406734Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:36:00.2432398Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:36:00.2461408Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:36:00.2490617Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:36:00.2525378Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:36:00.2560475Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:36:00.2597791Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:36:00.2627198Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:00.2670027Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:00.2711445Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:36:00.2740451Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:36:00.2775430Z Entering 'third_party/kleidiai'
2025-10-10T00:36:00.2809621Z Entering 'third_party/mimalloc'
2025-10-10T00:36:00.2843784Z Entering 'third_party/nlohmann'
2025-10-10T00:36:00.2885335Z Entering 'third_party/onnx'
2025-10-10T00:36:00.3123157Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:36:00.3157983Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:36:00.3205029Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:36:00.3237090Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:36:00.3271191Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:36:00.3302796Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:36:00.3342986Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:36:00.3377091Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:36:00.3407111Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:36:00.3435702Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:00.3477302Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:00.3519050Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:36:00.3703505Z Entering 'third_party/pocketfft'
2025-10-10T00:36:00.3730231Z Entering 'third_party/protobuf'
2025-10-10T00:36:00.3794253Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:36:00.3825179Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:36:00.3862400Z Entering 'third_party/psimd'
2025-10-10T00:36:00.3891537Z Entering 'third_party/pthreadpool'
2025-10-10T00:36:00.3923011Z Entering 'third_party/pybind11'
2025-10-10T00:36:00.3958338Z Entering 'third_party/python-peachpy'
2025-10-10T00:36:00.3988566Z Entering 'third_party/sleef'
2025-10-10T00:36:00.4026669Z Entering 'third_party/tensorpipe'
2025-10-10T00:36:00.4058261Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:36:00.4090200Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:36:00.4122886Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:36:00.4159413Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:36:00.4189509Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:36:00.4324818Z Prepare all required actions
2025-10-10T00:36:00.4325264Z Getting action download info
2025-10-10T00:36:00.5869956Z ##[group]Run ./.github/actions/setup-linux
2025-10-10T00:36:00.5870204Z env:
2025-10-10T00:36:00.5870382Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:00.5870576Z ##[endgroup]
2025-10-10T00:36:00.5908991Z ##[group]Run set -euo pipefail
2025-10-10T00:36:00.5909281Z set -euo pipefail
2025-10-10T00:36:00.5909500Z function get_ec2_metadata() {
2025-10-10T00:36:00.5909763Z   # Pulled from instance metadata endpoint for EC2
2025-10-10T00:36:00.5910201Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-10-10T00:36:00.5910577Z   category=$1
2025-10-10T00:36:00.5910842Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-10-10T00:36:00.5911134Z   runner_name_str=i-09ed82b116d31dad0
2025-10-10T00:36:00.5911439Z   if [[ -f /.inarc ]]; then
2025-10-10T00:36:00.5911700Z     echo "ARC Runner, no info on ec2 metadata"
2025-10-10T00:36:00.5911965Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-10-10T00:36:00.5912280Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-10-10T00:36:00.5912565Z   else
2025-10-10T00:36:00.5913134Z     curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-10-10T00:36:00.5913717Z   fi
2025-10-10T00:36:00.5913878Z }
2025-10-10T00:36:00.5914082Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-10-10T00:36:00.5914380Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-10-10T00:36:00.5914704Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-10-10T00:36:00.5914981Z echo "system info $(uname -a)"
2025-10-10T00:36:00.5920530Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:00.5920773Z env:
2025-10-10T00:36:00.5920929Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:00.5921097Z ##[endgroup]
2025-10-10T00:36:00.6101204Z ami-id: ami-08982f1c5bf93d976
2025-10-10T00:36:00.6194545Z instance-id: i-09ed82b116d31dad0
2025-10-10T00:36:00.6298518Z instance-type: m7i-flex.8xlarge
2025-10-10T00:36:00.6308137Z system info Linux ip-10-0-56-209.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-10-10T00:36:00.6338932Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-10-10T00:36:00.6339275Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-10-10T00:36:00.6344541Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:00.6344789Z env:
2025-10-10T00:36:00.6344959Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:00.6345157Z ##[endgroup]
2025-10-10T00:36:00.6389183Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:36:00.6389912Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:36:00.6394658Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:00.6394920Z env:
2025-10-10T00:36:00.6395082Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:00.6395273Z ##[endgroup]
2025-10-10T00:36:00.6454562Z ##[group]Run if systemctl is-active --quiet docker; then
2025-10-10T00:36:00.6454863Z if systemctl is-active --quiet docker; then
2025-10-10T00:36:00.6455117Z     echo "Docker daemon is running...";
2025-10-10T00:36:00.6455337Z else
2025-10-10T00:36:00.6455568Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-10-10T00:36:00.6455832Z fi
2025-10-10T00:36:00.6460103Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:00.6460377Z env:
2025-10-10T00:36:00.6460542Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:00.6460736Z ##[endgroup]
2025-10-10T00:36:00.6541043Z Docker daemon is running...
2025-10-10T00:36:00.6576888Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T00:36:00.6577128Z with:
2025-10-10T00:36:00.6577281Z   shell: bash
2025-10-10T00:36:00.6577455Z   timeout_minutes: 5
2025-10-10T00:36:00.6577647Z   max_attempts: 3
2025-10-10T00:36:00.6577820Z   retry_wait_seconds: 30
2025-10-10T00:36:00.6579262Z   command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
    --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"

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

2025-10-10T00:36:00.6580642Z   polling_interval_seconds: 1
2025-10-10T00:36:00.6580849Z   warning_on_retry: true
2025-10-10T00:36:00.6581035Z   continue_on_error: false
2025-10-10T00:36:00.6581224Z env:
2025-10-10T00:36:00.6581384Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:00.6581575Z   AWS_RETRY_MODE: standard
2025-10-10T00:36:00.6581773Z   AWS_MAX_ATTEMPTS: 5
2025-10-10T00:36:00.6582026Z   AWS_DEFAULT_REGION: us-east-1
2025-10-10T00:36:00.6582230Z ##[endgroup]
2025-10-10T00:36:01.6407460Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:01.6407906Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:01.6408308Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:01.6408613Z 
2025-10-10T00:36:01.6408685Z Login Succeeded
2025-10-10T00:36:01.7295542Z Command completed after 1 attempt(s).
2025-10-10T00:36:01.7347942Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:36:01.7348301Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:36:01.7348588Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:36:01.7355829Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:01.7356072Z env:
2025-10-10T00:36:01.7356239Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:01.7356423Z ##[endgroup]
2025-10-10T00:36:01.7464551Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:36:01.7464954Z # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:36:01.7465247Z # shellcheck disable=SC2046
2025-10-10T00:36:01.7465490Z docker stop $(docker ps -q) || true
2025-10-10T00:36:01.7465722Z # Prune all of the docker images
2025-10-10T00:36:01.7465971Z docker system prune -af
2025-10-10T00:36:01.7471517Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:01.7471786Z env:
2025-10-10T00:36:01.7471952Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:01.7472150Z ##[endgroup]
2025-10-10T00:36:01.7878058Z "docker stop" requires at least 1 argument.
2025-10-10T00:36:01.7878432Z See 'docker stop --help'.
2025-10-10T00:36:01.7878566Z 
2025-10-10T00:36:01.7878698Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-10-10T00:36:01.7878891Z 
2025-10-10T00:36:01.7878976Z Stop one or more running containers
2025-10-10T00:36:01.8088026Z Total reclaimed space: 0B
2025-10-10T00:36:01.8298873Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-10-10T00:36:01.8299487Z with:
2025-10-10T00:36:01.8300634Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:01.8301872Z   use-custom-docker-registry: true
2025-10-10T00:36:01.8302323Z   docker-build-dir: .ci/docker
2025-10-10T00:36:01.8302713Z   docker-build-script: ./build.sh
2025-10-10T00:36:01.8303132Z   working-directory: .
2025-10-10T00:36:01.8303612Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:01.8304153Z   force-push: false
2025-10-10T00:36:01.8304475Z env:
2025-10-10T00:36:01.8304779Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:01.8305154Z ##[endgroup]
2025-10-10T00:36:01.8332124Z ##[group]Run set -ex
2025-10-10T00:36:01.8332500Z set -ex
2025-10-10T00:36:01.8332773Z 
2025-10-10T00:36:01.8333290Z # If the docker build directory or the build script doesn't exist, the action will
2025-10-10T00:36:01.8334053Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-10-10T00:36:01.8334703Z # job could then download the pre-built image as usual
2025-10-10T00:36:01.8335449Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-10-10T00:36:01.8336190Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:01.8336579Z else
2025-10-10T00:36:01.8336882Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:01.8337390Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:01.8337864Z 
2025-10-10T00:36:01.8338405Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-10-10T00:36:01.8338817Z   exit 0
2025-10-10T00:36:01.8338983Z fi
2025-10-10T00:36:01.8339151Z 
2025-10-10T00:36:01.8339400Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-10-10T00:36:01.8339797Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-10-10T00:36:01.8340154Z   # use it as it is, but first let's extract the tag
2025-10-10T00:36:01.8340479Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-10-10T00:36:01.8340827Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:01.8341155Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:01.8341423Z else
2025-10-10T00:36:01.8341625Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-10-10T00:36:01.8341887Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-10-10T00:36:01.8342165Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-10-10T00:36:01.8342397Z   fi
2025-10-10T00:36:01.8342707Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-10-10T00:36:01.8343099Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:01.8343515Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:01.8344129Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:01.8344424Z fi
2025-10-10T00:36:01.8349889Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:01.8350151Z env:
2025-10-10T00:36:01.8350324Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:01.8350515Z   REPO_NAME: pytorch
2025-10-10T00:36:01.8351189Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:01.8351749Z   DOCKER_BUILD_DIR: .ci/docker
2025-10-10T00:36:01.8351940Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-10-10T00:36:01.8352193Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:01.8352453Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-10-10T00:36:01.8352649Z   CUSTOM_TAG_PREFIX: 
2025-10-10T00:36:01.8352820Z ##[endgroup]
2025-10-10T00:36:01.8377092Z + [[ -d .ci/docker ]]
2025-10-10T00:36:01.8377537Z + [[ -f .ci/docker/./build.sh ]]
2025-10-10T00:36:01.8377893Z + [[ true == \t\r\u\e ]]
2025-10-10T00:36:01.8378185Z + echo skip=false
2025-10-10T00:36:01.8378998Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]]
2025-10-10T00:36:01.8385031Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:01.8385800Z ++ awk -F '[:,]' '{print $2}'
2025-10-10T00:36:01.8408473Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:01.8409205Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:01.8410047Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:01.8454696Z ##[group]Run set +e
2025-10-10T00:36:01.8454934Z set +e
2025-10-10T00:36:01.8455089Z set -x
2025-10-10T00:36:01.8455248Z 
2025-10-10T00:36:01.8455410Z login() {
2025-10-10T00:36:01.8455741Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-10-10T00:36:01.8456080Z }
2025-10-10T00:36:01.8456234Z 
2025-10-10T00:36:01.8456387Z retry () {
2025-10-10T00:36:01.8456582Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-10-10T00:36:01.8456791Z }
2025-10-10T00:36:01.8456941Z 
2025-10-10T00:36:01.8457106Z retry login "${DOCKER_REGISTRY}"
2025-10-10T00:36:01.8457318Z 
2025-10-10T00:36:01.8457475Z START_TIME=$(date +%s)
2025-10-10T00:36:01.8457756Z # Wait up to 120 minutes
2025-10-10T00:36:01.8458101Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-10-10T00:36:01.8458416Z   # Check if image already exists, if it does then skip building it
2025-10-10T00:36:01.8458713Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-10-10T00:36:01.8458945Z     exit 0
2025-10-10T00:36:01.8459107Z   fi
2025-10-10T00:36:01.8459258Z 
2025-10-10T00:36:01.8459500Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-10-10T00:36:01.8459891Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-10-10T00:36:01.8460296Z   # latter, it will wait for the Docker images to become available before continuing
2025-10-10T00:36:01.8460634Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-10-10T00:36:01.8461022Z     # It's a Docker build job, let's build the image
2025-10-10T00:36:01.8461245Z     break
2025-10-10T00:36:01.8461418Z   else
2025-10-10T00:36:01.8461656Z     # It's a regular build job, wait for the image to become available
2025-10-10T00:36:01.8461930Z     sleep 300
2025-10-10T00:36:01.8462099Z   fi
2025-10-10T00:36:01.8462262Z done
2025-10-10T00:36:01.8462420Z 
2025-10-10T00:36:01.8462666Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-10-10T00:36:01.8463107Z # be empty.  The default action would be to continue rebuild the image
2025-10-10T00:36:01.8463430Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-10-10T00:36:01.8463731Z   # if we're on the base branch then use the parent commit
2025-10-10T00:36:01.8464002Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-10-10T00:36:01.8464213Z else
2025-10-10T00:36:01.8464436Z   # otherwise we're on a PR, so use the most recent base commit
2025-10-10T00:36:01.8464746Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-10-10T00:36:01.8464985Z fi
2025-10-10T00:36:01.8465140Z 
2025-10-10T00:36:01.8465302Z if [[ -z "${MERGE_BASE}" ]]; then
2025-10-10T00:36:01.8465546Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:01.8465770Z 
2025-10-10T00:36:01.8466435Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-10-10T00:36:01.8466795Z   exit 0
2025-10-10T00:36:01.8466957Z fi
2025-10-10T00:36:01.8467116Z 
2025-10-10T00:36:01.8467339Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-10-10T00:36:01.8467782Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-10-10T00:36:01.8468156Z   exit 1
2025-10-10T00:36:01.8468331Z fi
2025-10-10T00:36:01.8468484Z 
2025-10-10T00:36:01.8468726Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-10-10T00:36:01.8469140Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-10-10T00:36:01.8469501Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-10-10T00:36:01.8469937Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-10-10T00:36:01.8470428Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-10-10T00:36:01.8470718Z fi
2025-10-10T00:36:01.8470874Z 
2025-10-10T00:36:01.8471061Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:01.8476023Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:01.8476288Z env:
2025-10-10T00:36:01.8476460Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:01.8476654Z   DOCKER_BUILD_DIR: .ci/docker
2025-10-10T00:36:01.8476903Z   BASE_REVISION: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:36:01.8477525Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:01.8478290Z   DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:01.8478769Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:01.8479053Z   DOCKER_PUSH: 
2025-10-10T00:36:01.8479223Z ##[endgroup]
2025-10-10T00:36:01.8500429Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:01.8500733Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:01.8503185Z + aws ecr get-login-password --region us-east-1
2025-10-10T00:36:01.8503992Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:02.2774182Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:02.2774593Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:02.2774964Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:02.2775237Z 
2025-10-10T00:36:02.2775656Z Login Succeeded
2025-10-10T00:36:02.2796555Z ++ date +%s
2025-10-10T00:36:02.2807668Z + START_TIME=1760056562
2025-10-10T00:36:02.2812150Z ++ date +%s
2025-10-10T00:36:02.2819755Z + [[ 1760049362 -lt 1760056562 ]]
2025-10-10T00:36:02.2820423Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:02.5587348Z {
2025-10-10T00:36:02.5587616Z 	"schemaVersion": 2,
2025-10-10T00:36:02.5587987Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-10-10T00:36:02.5588428Z 	"config": {
2025-10-10T00:36:02.5588691Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-10-10T00:36:02.5589000Z 		"size": 30298,
2025-10-10T00:36:02.5589319Z 		"digest": "sha256:be8feb4482de208ab33ff6be61032fcdbeafec87bebc633426f293b292801f69"
2025-10-10T00:36:02.5589650Z 	},
2025-10-10T00:36:02.5589804Z 	"layers": [
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2025-10-10T00:36:02.5590200Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:36:02.5591262Z 		},
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2025-10-10T00:36:02.5592539Z 		},
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2025-10-10T00:36:02.5593866Z 		},
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2025-10-10T00:36:02.5594240Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5594509Z 			"size": 792,
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2025-10-10T00:36:02.5595189Z 		},
2025-10-10T00:36:02.5595341Z 		{
2025-10-10T00:36:02.5595559Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5595831Z 			"size": 106,
2025-10-10T00:36:02.5596121Z 			"digest": "sha256:cf3649f6486ae5ce318a0e0c72a096aee44e4fb743f2d4adb473fc308b7e96ac"
2025-10-10T00:36:02.5596441Z 		},
2025-10-10T00:36:02.5596579Z 		{
2025-10-10T00:36:02.5596839Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5597119Z 			"size": 703,
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2025-10-10T00:36:02.5597725Z 		},
2025-10-10T00:36:02.5597902Z 		{
2025-10-10T00:36:02.5598134Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5598408Z 			"size": 1212,
2025-10-10T00:36:02.5598698Z 			"digest": "sha256:fec720215749af5500d26baeb404c58afc3bbfa548de6d4fdd729c288e25187d"
2025-10-10T00:36:02.5599014Z 		},
2025-10-10T00:36:02.5599156Z 		{
2025-10-10T00:36:02.5599381Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5599646Z 			"size": 483,
2025-10-10T00:36:02.5599927Z 			"digest": "sha256:130af8bfbe27c7f09b41f241968e2df384861e6af82e8ff4a0a7acf82652b7ea"
2025-10-10T00:36:02.5600241Z 		},
2025-10-10T00:36:02.5600380Z 		{
2025-10-10T00:36:02.5600594Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5601233Z 			"size": 110343733,
2025-10-10T00:36:02.5601527Z 			"digest": "sha256:193b2b1a9925e076c5c5a070b1a2a5656f771dbbe6fe54e24858e214c999ec31"
2025-10-10T00:36:02.5601891Z 		},
2025-10-10T00:36:02.5602025Z 		{
2025-10-10T00:36:02.5602252Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5602521Z 			"size": 5033,
2025-10-10T00:36:02.5602809Z 			"digest": "sha256:38d02879e15dfacf9075db83626b0a9b06e7b100dfc8b19e2d8aac0ed82a1d7b"
2025-10-10T00:36:02.5603198Z 		},
2025-10-10T00:36:02.5603470Z 		{
2025-10-10T00:36:02.5603702Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5603985Z 			"size": 1709,
2025-10-10T00:36:02.5604276Z 			"digest": "sha256:fb4547453b1c476b51e9d234ffb01bbafea460abcd5ec7e3d6f547339285312d"
2025-10-10T00:36:02.5604601Z 		},
2025-10-10T00:36:02.5604742Z 		{
2025-10-10T00:36:02.5604972Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5605255Z 			"size": 724,
2025-10-10T00:36:02.5605550Z 			"digest": "sha256:5309e360108e00b09730355a8aa7fed622a6f8bca2b76d0ff01498a5a6fabab6"
2025-10-10T00:36:02.5605874Z 		},
2025-10-10T00:36:02.5606018Z 		{
2025-10-10T00:36:02.5606243Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5606509Z 			"size": 542,
2025-10-10T00:36:02.5606797Z 			"digest": "sha256:9be330fbd7beead7b21b290a066dac5164e7d36ad14130818f41b5eba2a188b6"
2025-10-10T00:36:02.5607129Z 		},
2025-10-10T00:36:02.5607274Z 		{
2025-10-10T00:36:02.5607496Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5607774Z 			"size": 3422780532,
2025-10-10T00:36:02.5608076Z 			"digest": "sha256:2cf6366f7d1178da512fd5c896f31b70b31cbf6144b5e5d6ee3737bcc79c5bcc"
2025-10-10T00:36:02.5608385Z 		},
2025-10-10T00:36:02.5608521Z 		{
2025-10-10T00:36:02.5608748Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5609026Z 			"size": 32,
2025-10-10T00:36:02.5609310Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:36:02.5609635Z 		},
2025-10-10T00:36:02.5609776Z 		{
2025-10-10T00:36:02.5610003Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5610276Z 			"size": 380,
2025-10-10T00:36:02.5610541Z 			"digest": "sha256:56c4f51a013172b027f025ba48a44821c49a7c62e3144d38779828aa1a830cba"
2025-10-10T00:36:02.5610845Z 		},
2025-10-10T00:36:02.5610986Z 		{
2025-10-10T00:36:02.5611215Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5611484Z 			"size": 236627,
2025-10-10T00:36:02.5611771Z 			"digest": "sha256:f7b7f96144123201eded917df066aa1045bc5753eac2eee567d84001c2e94f9b"
2025-10-10T00:36:02.5612078Z 		},
2025-10-10T00:36:02.5612218Z 		{
2025-10-10T00:36:02.5612437Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5612720Z 			"size": 232,
2025-10-10T00:36:02.5612998Z 			"digest": "sha256:70aeb425e04c172dec92d29b369f6e55c7b017991bd7396b7685e743da0b8553"
2025-10-10T00:36:02.5613295Z 		},
2025-10-10T00:36:02.5613428Z 		{
2025-10-10T00:36:02.5613654Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5613940Z 			"size": 3539945,
2025-10-10T00:36:02.5614217Z 			"digest": "sha256:97346936eb304dc3eb592147cb957c91e4b9ea86d11bab69cc8cff224f61491b"
2025-10-10T00:36:02.5614505Z 		},
2025-10-10T00:36:02.5614643Z 		{
2025-10-10T00:36:02.5614860Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5615127Z 			"size": 1478,
2025-10-10T00:36:02.5615395Z 			"digest": "sha256:9e5860b535d4fa06b166de3400e69fa4b20d8cc6c23f78fdc7934c0a6d1f1714"
2025-10-10T00:36:02.5615694Z 		},
2025-10-10T00:36:02.5615830Z 		{
2025-10-10T00:36:02.5616046Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5616303Z 			"size": 483,
2025-10-10T00:36:02.5616537Z + exit 0
2025-10-10T00:36:02.5616865Z 			"digest": "sha256:0ba1a45e12052d52ea8f656694d498f71f0a69eff39bbd947bbce968a572d8a3"
2025-10-10T00:36:02.5617167Z 		},
2025-10-10T00:36:02.5617306Z 		{
2025-10-10T00:36:02.5617519Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5617786Z 			"size": 200,
2025-10-10T00:36:02.5618061Z 			"digest": "sha256:3b7d78f74bbea51b906e4ea15594fe2acb7d9e3043958b83e055a634094f95a4"
2025-10-10T00:36:02.5618360Z 		},
2025-10-10T00:36:02.5618494Z 		{
2025-10-10T00:36:02.5618711Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5619033Z 			"size": 605,
2025-10-10T00:36:02.5619311Z 			"digest": "sha256:6beb9b78ab6eaddf4fa53a570a1340dcc12f366d89c43be8132808756138f673"
2025-10-10T00:36:02.5619602Z 		},
2025-10-10T00:36:02.5619738Z 		{
2025-10-10T00:36:02.5619955Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5620216Z 			"size": 226,
2025-10-10T00:36:02.5620480Z 			"digest": "sha256:25a0a5e5e819c24a72a56f7db69ddb6304abfb26540096fb7effe392be837bbf"
2025-10-10T00:36:02.5620780Z 		},
2025-10-10T00:36:02.5620919Z 		{
2025-10-10T00:36:02.5621135Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5621393Z 			"size": 828,
2025-10-10T00:36:02.5621669Z 			"digest": "sha256:5227fe91454bb5a30ab04a28c7528d30834ee393e03a1ee7bb0747c3b2814145"
2025-10-10T00:36:02.5621984Z 		},
2025-10-10T00:36:02.5622122Z 		{
2025-10-10T00:36:02.5622337Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5622604Z 			"size": 32,
2025-10-10T00:36:02.5622888Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:36:02.5623193Z 		},
2025-10-10T00:36:02.5623326Z 		{
2025-10-10T00:36:02.5623547Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5623816Z 			"size": 104,
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2025-10-10T00:36:02.5676889Z 			"digest": "sha256:23e94f3ab9a7d00135247c0fbf79f69b8b201fc5b30e69fa3fe561831044cc36"
2025-10-10T00:36:02.5677234Z 		},
2025-10-10T00:36:02.5677364Z 		{
2025-10-10T00:36:02.5677582Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5677841Z 			"size": 304,
2025-10-10T00:36:02.5678118Z 			"digest": "sha256:ee028affbc09ac8ee9cc437c341bb81c09df9e6bfd1bdd5da87809d24ebf3d05"
2025-10-10T00:36:02.5678413Z 		},
2025-10-10T00:36:02.5678552Z 		{
2025-10-10T00:36:02.5678768Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5679033Z 			"size": 32,
2025-10-10T00:36:02.5679343Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:36:02.5679641Z 		},
2025-10-10T00:36:02.5679777Z 		{
2025-10-10T00:36:02.5679995Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5680249Z 			"size": 108,
2025-10-10T00:36:02.5680514Z 			"digest": "sha256:f090f773ba0e46e96a12583445cf1f6741e20aea9362c49517163d0f0bfc0fc1"
2025-10-10T00:36:02.5680812Z 		},
2025-10-10T00:36:02.5680950Z 		{
2025-10-10T00:36:02.5681159Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5681430Z 			"size": 54145665,
2025-10-10T00:36:02.5681706Z 			"digest": "sha256:56f1f8e7f2476d5d6777b43002615dd64f62ba9a6a82678195124a491048faa0"
2025-10-10T00:36:02.5682000Z 		},
2025-10-10T00:36:02.5682130Z 		{
2025-10-10T00:36:02.5682347Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:02.5682610Z 			"size": 32,
2025-10-10T00:36:02.5682882Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:36:02.5683173Z 		}
2025-10-10T00:36:02.5683313Z 	]
2025-10-10T00:36:02.5683452Z }
2025-10-10T00:36:02.5713453Z ##[group]Run set -eux
2025-10-10T00:36:02.5713672Z set -eux
2025-10-10T00:36:02.5713960Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-10-10T00:36:02.5714688Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true
2025-10-10T00:36:02.5720696Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:02.5720971Z env:
2025-10-10T00:36:02.5721137Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:02.5721335Z ##[endgroup]
2025-10-10T00:36:02.5746670Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-10-10T00:36:02.5747046Z + jq --raw-output .SecretString
2025-10-10T00:36:02.5747295Z + jq -r .docker_hub_readonly_token
2025-10-10T00:36:02.5750077Z + docker login --username pytorchbot --password-stdin
2025-10-10T00:36:03.0597217Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:03.0597650Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:03.0598049Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:03.0598341Z 
2025-10-10T00:36:03.0598637Z Login Succeeded
2025-10-10T00:36:03.0678331Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-10-10T00:36:03.0678611Z tag=${ECR_DOCKER_IMAGE##*:}
2025-10-10T00:36:03.0678894Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-10-10T00:36:03.0683720Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:03.0683976Z env:
2025-10-10T00:36:03.0684142Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:03.0684715Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:03.0685302Z ##[endgroup]
2025-10-10T00:36:03.0712927Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:03.0752397Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-10-10T00:36:03.0752862Z with:
2025-10-10T00:36:03.0753483Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:03.0754207Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:03.0754517Z env:
2025-10-10T00:36:03.0754709Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:03.0754928Z ##[endgroup]
2025-10-10T00:36:03.0770301Z ##[group]Run set -x
2025-10-10T00:36:03.0770536Z set -x
2025-10-10T00:36:03.0770727Z set +e
2025-10-10T00:36:03.0770919Z 
2025-10-10T00:36:03.0771091Z login() {
2025-10-10T00:36:03.0771531Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-10-10T00:36:03.0771917Z }
2025-10-10T00:36:03.0772125Z 
2025-10-10T00:36:03.0772344Z retry () {
2025-10-10T00:36:03.0772567Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-10-10T00:36:03.0772812Z }
2025-10-10T00:36:03.0772983Z 
2025-10-10T00:36:03.0773180Z retry login "${DOCKER_REGISTRY}"
2025-10-10T00:36:03.0773421Z 
2025-10-10T00:36:03.0773782Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-10-10T00:36:03.0774261Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-10-10T00:36:03.0774546Z 
2025-10-10T00:36:03.0774721Z set -e
2025-10-10T00:36:03.0774976Z # ignore output since only exit code is used for conditional
2025-10-10T00:36:03.0775338Z # only pull docker image if it's not available locally
2025-10-10T00:36:03.0775736Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-10-10T00:36:03.0776112Z   retry docker pull "${DOCKER_IMAGE}"
2025-10-10T00:36:03.0776356Z fi
2025-10-10T00:36:03.0780992Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:03.0781255Z env:
2025-10-10T00:36:03.0781420Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:03.0781978Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:03.0782632Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:03.0782904Z ##[endgroup]
2025-10-10T00:36:03.0806387Z + set +e
2025-10-10T00:36:03.0806884Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:03.0807367Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:03.0809382Z + aws ecr get-login-password --region us-east-1
2025-10-10T00:36:03.0814882Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:03.5232017Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:03.5232472Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:03.5232897Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:03.5233284Z 
2025-10-10T00:36:03.5233553Z Login Succeeded
2025-10-10T00:36:03.5257193Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:03.5260829Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-10-10T00:36:03.7846534Z + IMAGE_SIZE=28760.563641548157
2025-10-10T00:36:03.7846864Z Compressed size of image in MB: 28760.563641548157
2025-10-10T00:36:03.7847220Z + echo 'Compressed size of image in MB: 28760.563641548157'
2025-10-10T00:36:03.7847499Z + set -e
2025-10-10T00:36:03.7848501Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:03.7987831Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:03.7988817Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:04.0618424Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac: Pulling from pytorch/ci-image
2025-10-10T00:36:04.0619017Z 828c1365039a: Pulling fs layer
2025-10-10T00:36:04.0619233Z d48484dff770: Pulling fs layer
2025-10-10T00:36:04.0619436Z 63f2ff1b73ca: Pulling fs layer
2025-10-10T00:36:04.0619636Z 4a952c1cd3dd: Pulling fs layer
2025-10-10T00:36:04.0619825Z cf3649f6486a: Pulling fs layer
2025-10-10T00:36:04.0620020Z 7a4d1eb936e8: Pulling fs layer
2025-10-10T00:36:04.0620253Z fec720215749: Pulling fs layer
2025-10-10T00:36:04.0620451Z 130af8bfbe27: Pulling fs layer
2025-10-10T00:36:04.0620647Z 193b2b1a9925: Pulling fs layer
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2025-10-10T00:36:04.0631995Z f090f773ba0e: Pulling fs layer
2025-10-10T00:36:04.0632190Z 56f1f8e7f247: Pulling fs layer
2025-10-10T00:36:04.0632385Z fc80c2144458: Waiting
2025-10-10T00:36:04.0632557Z 3894d677ce34: Waiting
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2025-10-10T00:36:04.1991567Z d48484dff770: Verifying Checksum
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2025-10-10T00:45:33.8105133Z Digest: sha256:2e6e7297c9105722429dc16c6731f2c79bd9d6b81eb7a39feebebd90cfe1676f
2025-10-10T00:45:33.8652367Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:45:33.9122668Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:45:33.9175458Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:45:33.9176066Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:45:33.9182794Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:45:33.9183048Z env:
2025-10-10T00:45:33.9183221Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:33.9183411Z ##[endgroup]
2025-10-10T00:45:33.9259894Z Prepare all required actions
2025-10-10T00:45:33.9485571Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-10-10T00:45:33.9485824Z with:
2025-10-10T00:45:33.9486466Z   github-token: ***
2025-10-10T00:45:33.9486647Z env:
2025-10-10T00:45:33.9486815Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:33.9487005Z ##[endgroup]
2025-10-10T00:45:33.9638644Z ##[group]Run set -eux
2025-10-10T00:45:33.9638868Z set -eux
2025-10-10T00:45:33.9639179Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-10-10T00:45:33.9645112Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:45:33.9645355Z env:
2025-10-10T00:45:33.9645520Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:33.9645902Z   GITHUB_TOKEN: ***
2025-10-10T00:45:33.9646069Z ##[endgroup]
2025-10-10T00:45:33.9670726Z + python3 .github/scripts/get_workflow_job_id.py 18392306145 i-09ed82b116d31dad0
2025-10-10T00:45:34.6664132Z Setting output job-id=52406535385
2025-10-10T00:45:34.6664701Z Setting output job-name=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:45:34.6907688Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-10-10T00:45:34.6908188Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-10-10T00:45:34.6908810Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-10-10T00:45:34.6909363Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:45:34.6914279Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:45:34.6914533Z env:
2025-10-10T00:45:34.6914706Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:34.6914899Z   JOB_ID: 52406535385
2025-10-10T00:45:34.6915181Z   JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:45:34.6915498Z   WORKFLOW_NAME: inductor
2025-10-10T00:45:34.6915710Z   WORKFLOW_RUN_ID: 18392306145
2025-10-10T00:45:34.6915945Z   MONITOR_LOG_INTERVAL: 5
2025-10-10T00:45:34.6916143Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-10-10T00:45:34.6916351Z ##[endgroup]
2025-10-10T00:45:35.2199163Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:45:35.5318263Z Collecting psutil==5.9.8
2025-10-10T00:45:35.5478647Z   Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB)
2025-10-10T00:45:35.6431840Z Collecting dataclasses_json==0.6.7
2025-10-10T00:45:35.6471283Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-10-10T00:45:35.6858915Z Collecting nvidia-ml-py==11.525.84
2025-10-10T00:45:35.6912643Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-10-10T00:45:35.7765410Z Collecting typing-inspect<1,>=0.4.0
2025-10-10T00:45:35.7821741Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-10-10T00:45:35.9070312Z Collecting marshmallow<4.0.0,>=3.18.0
2025-10-10T00:45:35.9105621Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-10-10T00:45:36.0169929Z Collecting packaging>=17.0
2025-10-10T00:45:36.0214992Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-10-10T00:45:36.1286497Z Collecting mypy-extensions>=0.3.0
2025-10-10T00:45:36.1332420Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-10-10T00:45:36.2642060Z Collecting typing-extensions>=3.7.4
2025-10-10T00:45:36.2686767Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-10-10T00:45:36.5373480Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-10-10T00:45:37.1804485Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0
2025-10-10T00:45:37.4523992Z Prepare all required actions
2025-10-10T00:45:37.4524317Z Getting action download info
2025-10-10T00:45:37.6322726Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-10-10T00:45:38.1737291Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-10-10T00:45:40.5029234Z ##[group]Run ./.github/actions/download-build-artifacts
2025-10-10T00:45:40.5029513Z with:
2025-10-10T00:45:40.5029718Z   name: linux-jammy-py3.10-gcc11-build
2025-10-10T00:45:40.5029957Z   s3-bucket: gha-artifacts
2025-10-10T00:45:40.5030160Z env:
2025-10-10T00:45:40.5030337Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:40.5030536Z ##[endgroup]
2025-10-10T00:45:40.5181638Z ##[group]Run seemethere/download-artifact-s3@v4
2025-10-10T00:45:40.5181888Z with:
2025-10-10T00:45:40.5182080Z   name: linux-jammy-py3.10-gcc11-build
2025-10-10T00:45:40.5182309Z   s3-bucket: gha-artifacts
2025-10-10T00:45:40.5182561Z   region: us-east-1
2025-10-10T00:45:40.5182722Z env:
2025-10-10T00:45:40.5183020Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:40.5183207Z ##[endgroup]
2025-10-10T00:45:41.2931771Z (node:48500) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-10-10T00:45:41.2932137Z 
2025-10-10T00:45:41.2932283Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-10-10T00:45:41.2932679Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-10-10T00:45:41.2933096Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-10-10T00:45:42.4756538Z Found 1 objects with prefix pytorch/pytorch/18392306145/linux-jammy-py3.10-gcc11-build/
2025-10-10T00:45:42.4757354Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-10-10T00:45:48.3369956Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-10-10T00:45:48.3374704Z Artifact download has finished successfully
2025-10-10T00:45:48.3556185Z ##[group]Run unzip -o artifacts.zip
2025-10-10T00:45:48.3556464Z unzip -o artifacts.zip
2025-10-10T00:45:48.3561755Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:45:48.3562014Z env:
2025-10-10T00:45:48.3562181Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:48.3562371Z ##[endgroup]
2025-10-10T00:45:48.3618452Z Archive:  artifacts.zip
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2025-10-10T00:45:55.6179872Z ##[group]Run rm artifacts.zip
2025-10-10T00:45:55.6180120Z rm artifacts.zip
2025-10-10T00:45:55.6185568Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
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2025-10-10T00:45:55.6999348Z ##[endgroup]
2025-10-10T00:45:55.7042636Z Filesystem        Size  Used Avail Use% Mounted on
2025-10-10T00:45:55.7045002Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-10-10T00:45:55.7045397Z tmpfs              67G     0   67G   0% /dev/shm
2025-10-10T00:45:55.7047392Z tmpfs              27G  791k   27G   1% /run
2025-10-10T00:45:55.7047897Z /dev/nvme0n1p1    215G   71G  145G  33% /
2025-10-10T00:45:55.7048309Z tmpfs              67G   13k   67G   1% /tmp
2025-10-10T00:45:55.7048751Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-10-10T00:45:55.7072210Z Prepare all required actions
2025-10-10T00:45:55.7072979Z Getting action download info
2025-10-10T00:45:55.8520523Z ##[group]Run ./.github/actions/download-td-artifacts
2025-10-10T00:45:55.8520792Z with:
2025-10-10T00:45:55.8520952Z env:
2025-10-10T00:45:55.8521118Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:55.8521308Z ##[endgroup]
2025-10-10T00:45:55.8590572Z ##[group]Run seemethere/download-artifact-s3@v4
2025-10-10T00:45:55.8590816Z with:
2025-10-10T00:45:55.8591221Z   name: td_results
2025-10-10T00:45:55.8591408Z   s3-bucket: gha-artifacts
2025-10-10T00:45:55.8591604Z   region: us-east-1
2025-10-10T00:45:55.8591771Z env:
2025-10-10T00:45:55.8591926Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:55.8592117Z ##[endgroup]
2025-10-10T00:45:56.4008478Z (node:48521) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-10-10T00:45:56.4009002Z 
2025-10-10T00:45:56.4009372Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-10-10T00:45:56.4009768Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-10-10T00:45:56.4010143Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-10-10T00:45:56.4901994Z Found 0 objects with prefix pytorch/pytorch/18392306145/td_results/
2025-10-10T00:45:56.4908338Z Artifact download has finished successfully
2025-10-10T00:45:56.5217151Z ##[group]Run mkdir -p .additional_ci_files
2025-10-10T00:45:56.5217428Z mkdir -p .additional_ci_files
2025-10-10T00:45:56.5217725Z mv td_results.json .additional_ci_files/td_results.json || true
2025-10-10T00:45:56.5223636Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:45:56.5223898Z env:
2025-10-10T00:45:56.5224062Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:56.5224258Z ##[endgroup]
2025-10-10T00:45:56.5273450Z mv: cannot stat 'td_results.json': No such file or directory
2025-10-10T00:45:56.5374879Z ##[group]Run .github/scripts/parse_ref.py
2025-10-10T00:45:56.5375158Z .github/scripts/parse_ref.py
2025-10-10T00:45:56.5379843Z shell: /usr/bin/bash -e {0}
2025-10-10T00:45:56.5380048Z env:
2025-10-10T00:45:56.5380217Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:56.5380409Z ##[endgroup]
2025-10-10T00:45:56.5636384Z Setting output branch=main
2025-10-10T00:45:56.5730018Z Prepare all required actions
2025-10-10T00:45:56.5730383Z Getting action download info
2025-10-10T00:45:56.6995399Z ##[group]Run ./.github/actions/filter-test-configs
2025-10-10T00:45:56.6995683Z with:
2025-10-10T00:45:56.6996089Z   github-token: ***
2025-10-10T00:45:56.6997948Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:45:56.6999929Z   job-name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:45:56.7000283Z env:
2025-10-10T00:45:56.7000468Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:56.7000676Z ##[endgroup]
2025-10-10T00:45:56.7065272Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T00:45:56.7065543Z with:
2025-10-10T00:45:56.7065727Z   shell: bash
2025-10-10T00:45:56.7065931Z   timeout_minutes: 10
2025-10-10T00:45:56.7066166Z   max_attempts: 5
2025-10-10T00:45:56.7066604Z   retry_wait_seconds: 30
2025-10-10T00:45:56.7067219Z   command: set -eux
# PyYAML 6.0 doesn't work with MacOS x86 anymore
# This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2
python3 -m pip install requests==2.27.1 pyyaml==6.0.2

2025-10-10T00:45:56.7067839Z   polling_interval_seconds: 1
2025-10-10T00:45:56.7068101Z   warning_on_retry: true
2025-10-10T00:45:56.7068324Z   continue_on_error: false
2025-10-10T00:45:56.7068545Z env:
2025-10-10T00:45:56.7068724Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:45:56.7069123Z   GITHUB_TOKEN: ***
2025-10-10T00:45:56.7069328Z ##[endgroup]
2025-10-10T00:45:56.8147542Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-10-10T00:45:57.0009220Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:45:58.3235355Z Collecting requests==2.27.1
2025-10-10T00:45:58.3406318Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-10-10T00:45:58.6180363Z Collecting pyyaml==6.0.2
2025-10-10T00:45:58.6224163Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-10-10T00:45:58.7057015Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-10-10T00:45:59.0279431Z Collecting charset-normalizer~=2.0.0
2025-10-10T00:45:59.0327738Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-10-10T00:45:59.0822474Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-10-10T00:45:59.1746140Z Collecting certifi>=2017.4.17
2025-10-10T00:45:59.1811538Z   Downloading certifi-2025.10.5-py3-none-any.whl (163 kB)
2025-10-10T00:45:59.3170971Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-10-10T00:45:59.8258773Z Successfully installed certifi-2025.10.5 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-10-10T00:46:00.7751372Z Command completed after 1 attempt(s).
2025-10-10T00:46:00.7815472Z ##[group]Run set -x
2025-10-10T00:46:00.7815689Z set -x
2025-10-10T00:46:00.7815940Z 
2025-10-10T00:46:00.7816247Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-10-10T00:46:00.7816568Z # in runner workspace
2025-10-10T00:46:00.7816994Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-10-10T00:46:00.7821914Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:00.7822172Z env:
2025-10-10T00:46:00.7822335Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:00.7822524Z ##[endgroup]
2025-10-10T00:46:00.7845169Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-10-10T00:46:00.8004732Z Setting output branch=main
2025-10-10T00:46:00.8068599Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-10-10T00:46:00.8068893Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-10-10T00:46:00.8069150Z echo "Job name: ${JOB_NAME}"
2025-10-10T00:46:00.8069357Z 
2025-10-10T00:46:00.8069622Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-10-10T00:46:00.8069931Z # in runner workspace
2025-10-10T00:46:00.8070219Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-10-10T00:46:00.8070550Z   --workflow "${GITHUB_WORKFLOW}" \
2025-10-10T00:46:00.8070782Z   --job-name "${JOB_NAME}" \
2025-10-10T00:46:00.8072504Z   --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \
2025-10-10T00:46:00.8074256Z   --selected-test-configs "" \
2025-10-10T00:46:00.8074497Z   --pr-number "${PR_NUMBER}" \
2025-10-10T00:46:00.8074723Z   --tag "${TAG}" \
2025-10-10T00:46:00.8074930Z   --event-name "${EVENT_NAME}" \
2025-10-10T00:46:00.8075158Z   --schedule "${SCHEDULE}" \
2025-10-10T00:46:00.8075381Z   --branch "${HEAD_BRANCH}"
2025-10-10T00:46:00.8080417Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:00.8080685Z env:
2025-10-10T00:46:00.8080855Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:00.8081274Z   GITHUB_TOKEN: ***
2025-10-10T00:46:00.8081582Z   JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:00.8081914Z   PR_NUMBER: 
2025-10-10T00:46:00.8082077Z   TAG: 
2025-10-10T00:46:00.8082243Z   EVENT_NAME: push
2025-10-10T00:46:00.8082426Z   SCHEDULE: 
2025-10-10T00:46:00.8082594Z   HEAD_BRANCH: main
2025-10-10T00:46:00.8082772Z ##[endgroup]
2025-10-10T00:46:00.8104922Z Workflow: inductor
2025-10-10T00:46:00.8105303Z Job name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:00.9677705Z Setting output keep-going=True
2025-10-10T00:46:00.9678055Z Setting output ci-verbose-test-logs=False
2025-10-10T00:46:00.9678318Z Setting output ci-test-showlocals=False
2025-10-10T00:46:00.9678564Z Setting output ci-no-test-timeout=False
2025-10-10T00:46:00.9678783Z Setting output ci-no-td=False
2025-10-10T00:46:00.9679007Z Setting output ci-td-distributed=False
2025-10-10T00:46:00.9679569Z Setting output is-unstable=False
2025-10-10T00:46:00.9679795Z Setting output reenabled-issues=
2025-10-10T00:46:00.9681622Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:46:00.9683351Z Setting output is-test-matrix-empty=False
2025-10-10T00:46:00.9811429Z ##[group]Run echo "Filtered matrix:"
2025-10-10T00:46:00.9811684Z echo "Filtered matrix:"
2025-10-10T00:46:00.9813326Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}"
2025-10-10T00:46:00.9814978Z 
2025-10-10T00:46:00.9815142Z echo
2025-10-10T00:46:00.9815344Z echo "Is the current job unstable? False"
2025-10-10T00:46:00.9815583Z 
2025-10-10T00:46:00.9815741Z echo
2025-10-10T00:46:00.9815928Z echo "Is keep-going label set? True"
2025-10-10T00:46:00.9816147Z 
2025-10-10T00:46:00.9816300Z echo
2025-10-10T00:46:00.9816473Z echo "Reenabled issues? "
2025-10-10T00:46:00.9822264Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:00.9822526Z env:
2025-10-10T00:46:00.9822703Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:00.9822903Z ##[endgroup]
2025-10-10T00:46:00.9846721Z Filtered matrix:
2025-10-10T00:46:00.9848470Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]}
2025-10-10T00:46:00.9850135Z 
2025-10-10T00:46:00.9851662Z Is the current job unstable? False
2025-10-10T00:46:00.9851864Z 
2025-10-10T00:46:00.9851957Z Is keep-going label set? True
2025-10-10T00:46:00.9852103Z 
2025-10-10T00:46:00.9852175Z Reenabled issues? 
2025-10-10T00:46:00.9894814Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-10-10T00:46:00.9895197Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-10-10T00:46:00.9899960Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:00.9900222Z env:
2025-10-10T00:46:00.9900393Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:00.9900583Z   JOB_TIMEOUT: 240
2025-10-10T00:46:00.9900750Z ##[endgroup]
2025-10-10T00:46:00.9957812Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:46:00.9958181Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:46:00.9958490Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:46:00.9962657Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:00.9962897Z env:
2025-10-10T00:46:00.9963055Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:00.9963234Z ##[endgroup]
2025-10-10T00:46:01.0071111Z ##[group]Run set -x
2025-10-10T00:46:01.0071379Z set -x
2025-10-10T00:46:01.0071551Z 
2025-10-10T00:46:01.0071738Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-10-10T00:46:01.0072039Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-10-10T00:46:01.0072320Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-10-10T00:46:01.0072577Z   TEST_COMMAND=.ci/onnx/test.sh
2025-10-10T00:46:01.0072787Z else
2025-10-10T00:46:01.0072983Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-10-10T00:46:01.0073198Z fi
2025-10-10T00:46:01.0073353Z 
2025-10-10T00:46:01.0073543Z # Leaving 1GB for the runner and other things
2025-10-10T00:46:01.0073932Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-10-10T00:46:01.0074519Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-10-10T00:46:01.0074980Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-10-10T00:46:01.0075328Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-10-10T00:46:01.0075613Z 
2025-10-10T00:46:01.0075817Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-10-10T00:46:01.0076060Z   SHM_OPTS=
2025-10-10T00:46:01.0076239Z   JENKINS_USER=
2025-10-10T00:46:01.0076496Z   # ensure that docker container cleanly exits in 12 hours
2025-10-10T00:46:01.0076820Z   # if for some reason cleanup action doesn't stop container
2025-10-10T00:46:01.0077094Z   # when job is cancelled
2025-10-10T00:46:01.0077324Z   DOCKER_SHELL_CMD="sleep 12h"
2025-10-10T00:46:01.0077520Z else
2025-10-10T00:46:01.0077705Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-10-10T00:46:01.0077939Z   JENKINS_USER="--user jenkins"
2025-10-10T00:46:01.0078155Z   DOCKER_SHELL_CMD=
2025-10-10T00:46:01.0078334Z fi
2025-10-10T00:46:01.0078484Z 
2025-10-10T00:46:01.0078716Z # detached container should get cleaned up by teardown_ec2_linux
2025-10-10T00:46:01.0079059Z # TODO: Stop building test binaries as part of the build phase
2025-10-10T00:46:01.0079436Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-10-10T00:46:01.0079776Z # shellcheck disable=SC2086,SC2090
2025-10-10T00:46:01.0080003Z container_name=$(docker run \
2025-10-10T00:46:01.0080220Z   ${GPU_FLAG:-} \
2025-10-10T00:46:01.0080434Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-10-10T00:46:01.0080661Z   -e BUILD_ENVIRONMENT \
2025-10-10T00:46:01.0080871Z   -e PR_NUMBER \
2025-10-10T00:46:01.0081067Z   -e GITHUB_ACTIONS \
2025-10-10T00:46:01.0081271Z   -e GITHUB_REPOSITORY \
2025-10-10T00:46:01.0081477Z   -e GITHUB_WORKFLOW \
2025-10-10T00:46:01.0081682Z   -e GITHUB_JOB \
2025-10-10T00:46:01.0081874Z   -e GITHUB_RUN_ID \
2025-10-10T00:46:01.0082070Z   -e GITHUB_RUN_NUMBER \
2025-10-10T00:46:01.0082379Z   -e GITHUB_RUN_ATTEMPT \
2025-10-10T00:46:01.0082588Z   -e JOB_ID \
2025-10-10T00:46:01.0082778Z   -e JOB_NAME \
2025-10-10T00:46:01.0082964Z   -e BASE_SHA \
2025-10-10T00:46:01.0083139Z   -e BRANCH \
2025-10-10T00:46:01.0083318Z   -e SHA1 \
2025-10-10T00:46:01.0083504Z   -e AWS_DEFAULT_REGION \
2025-10-10T00:46:01.0083713Z   -e IN_WHEEL_TEST \
2025-10-10T00:46:01.0083901Z   -e SHARD_NUMBER \
2025-10-10T00:46:01.0084096Z   -e TEST_CONFIG \
2025-10-10T00:46:01.0084292Z   -e NUM_TEST_SHARDS \
2025-10-10T00:46:01.0084494Z   -e REENABLED_ISSUES \
2025-10-10T00:46:01.0084696Z   -e CONTINUE_THROUGH_ERROR \
2025-10-10T00:46:01.0084979Z   -e VERBOSE_TEST_LOGS \
2025-10-10T00:46:01.0085187Z   -e TEST_SHOWLOCALS \
2025-10-10T00:46:01.0085387Z   -e NO_TEST_TIMEOUT \
2025-10-10T00:46:01.0085570Z   -e NO_TD \
2025-10-10T00:46:01.0085760Z   -e TD_DISTRIBUTED \
2025-10-10T00:46:01.0085956Z   -e PR_LABELS \
2025-10-10T00:46:01.0086172Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-10-10T00:46:01.0086394Z   -e SCCACHE_BUCKET \
2025-10-10T00:46:01.0086593Z   -e SCCACHE_REGION \
2025-10-10T00:46:01.0086788Z   -e XLA_CUDA \
2025-10-10T00:46:01.0086997Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-10-10T00:46:01.0087240Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-10-10T00:46:01.0087484Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-10-10T00:46:01.0087734Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-10-10T00:46:01.0087968Z   -e HUGGING_FACE_HUB_TOKEN \
2025-10-10T00:46:01.0088198Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-10-10T00:46:01.0088424Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-10-10T00:46:01.0088644Z   -e DASHBOARD_TAG \
2025-10-10T00:46:01.0088845Z   -e ARTIFACTS_FILE_SUFFIX \
2025-10-10T00:46:01.0089099Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-10-10T00:46:01.0089372Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-10-10T00:46:01.0089658Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-10-10T00:46:01.0089910Z   --security-opt seccomp=unconfined \
2025-10-10T00:46:01.0090130Z   --cap-add=SYS_PTRACE \
2025-10-10T00:46:01.0090322Z   --ipc=host \
2025-10-10T00:46:01.0090490Z   ${SHM_OPTS} \
2025-10-10T00:46:01.0090690Z   --tty \
2025-10-10T00:46:01.0090866Z   --detach \
2025-10-10T00:46:01.0091256Z   --name="${container_name}" \
2025-10-10T00:46:01.0091481Z   ${JENKINS_USER} \
2025-10-10T00:46:01.0091733Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-10-10T00:46:01.0092009Z   -w /var/lib/jenkins/workspace \
2025-10-10T00:46:01.0092221Z   "${DOCKER_IMAGE}" \
2025-10-10T00:46:01.0092422Z   ${DOCKER_SHELL_CMD}
2025-10-10T00:46:01.0092614Z )
2025-10-10T00:46:01.0092856Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-10-10T00:46:01.0093130Z 
2025-10-10T00:46:01.0093330Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-10-10T00:46:01.0093725Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-10-10T00:46:01.0094077Z fi
2025-10-10T00:46:01.0094230Z 
2025-10-10T00:46:01.0094546Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-10-10T00:46:01.0099165Z shell: /usr/bin/bash -e {0}
2025-10-10T00:46:01.0099361Z env:
2025-10-10T00:46:01.0099529Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:01.0099759Z   BUILD_ENVIRONMENT: linux-jammy-py3.10-gcc11-build
2025-10-10T00:46:01.0100002Z   PR_NUMBER: 
2025-10-10T00:46:01.0100182Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-10-10T00:46:01.0100491Z   GITHUB_WORKFLOW: inductor
2025-10-10T00:46:01.0100669Z   GITHUB_JOB: test
2025-10-10T00:46:01.0100898Z   GITHUB_RUN_ID: 18392306145
2025-10-10T00:46:01.0101089Z   GITHUB_RUN_NUMBER: 158985
2025-10-10T00:46:01.0101276Z   GITHUB_RUN_ATTEMPT: 1
2025-10-10T00:46:01.0101446Z   JOB_ID: 52406535385
2025-10-10T00:46:01.0101732Z   JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:01.0102054Z   BRANCH: main
2025-10-10T00:46:01.0102245Z   SHA1: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:01.0102494Z   BASE_SHA: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:01.0102740Z   TEST_CONFIG: cpu_inductor_torchbench
2025-10-10T00:46:01.0102952Z   SHARD_NUMBER: 1
2025-10-10T00:46:01.0103216Z   NUM_TEST_SHARDS: 2
2025-10-10T00:46:01.0103389Z   EXTRA_FLAGS: 
2025-10-10T00:46:01.0103551Z   OP_BENCHMARK_TESTS: 
2025-10-10T00:46:01.0103729Z   REENABLED_ISSUES: 
2025-10-10T00:46:01.0103912Z   CONTINUE_THROUGH_ERROR: True
2025-10-10T00:46:01.0104107Z   VERBOSE_TEST_LOGS: False
2025-10-10T00:46:01.0104300Z   TEST_SHOWLOCALS: False
2025-10-10T00:46:01.0104488Z   NO_TEST_TIMEOUT: False
2025-10-10T00:46:01.0104668Z   NO_TD: False
2025-10-10T00:46:01.0104827Z   TD_DISTRIBUTED: False
2025-10-10T00:46:01.0105053Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-10-10T00:46:01.0105302Z   SCCACHE_REGION: us-east-1
2025-10-10T00:46:01.0105486Z   SHM_SIZE: 1g
2025-10-10T00:46:01.0106086Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:46:01.0106818Z   XLA_CUDA: 
2025-10-10T00:46:01.0107087Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:46:01.0107412Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-10-10T00:46:01.0107656Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-10-10T00:46:01.0107856Z   DASHBOARD_TAG: 
2025-10-10T00:46:01.0108210Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-10-10T00:46:01.0108517Z   HUGGING_FACE_HUB_TOKEN: ***
2025-10-10T00:46:01.0108896Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-10-10T00:46:01.0109233Z   ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385
2025-10-10T00:46:01.0109560Z ##[endgroup]
2025-10-10T00:46:01.0133509Z + [[ cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]]
2025-10-10T00:46:01.0133814Z + [[ linux-jammy-py3.10-gcc11-build == *onnx* ]]
2025-10-10T00:46:01.0134149Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-10-10T00:46:01.0142107Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-10-10T00:46:01.0215482Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 '
2025-10-10T00:46:01.0215810Z + TOTAL_MEMORY_WITH_SWAP=125
2025-10-10T00:46:01.0216087Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-10-10T00:46:01.0216360Z + SHM_OPTS=--shm-size=1g
2025-10-10T00:46:01.0216565Z + JENKINS_USER='--user jenkins'
2025-10-10T00:46:01.0216766Z + DOCKER_SHELL_CMD=
2025-10-10T00:46:01.0223537Z +++ nproc --ignore=2
2025-10-10T00:46:01.0251139Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=30 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_18392306145 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:46:11.8814158Z + container_name=88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T00:46:11.8815312Z + echo DOCKER_CONTAINER_ID=88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T00:46:11.8815995Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-10-10T00:46:11.8820601Z ++ echo dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl
2025-10-10T00:46:11.8823529Z + docker exec -t 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6 sh -c 'python3 -m pip install dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-10-10T00:46:12.2979724Z Processing ./dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+git344e636)
2025-10-10T00:46:12.5175188Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.18.0)
2025-10-10T00:46:12.5181944Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (4.15.0)
2025-10-10T00:46:12.5182830Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.13.3)
2025-10-10T00:46:12.5183655Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (2.8.8)
2025-10-10T00:46:12.5184418Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.1.6)
2025-10-10T00:46:12.5185186Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (2025.9.0)
2025-10-10T00:46:12.5204363Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.3.0)
2025-10-10T00:46:12.5491695Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.22.4)
2025-10-10T00:46:12.5508611Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.3.0)
2025-10-10T00:46:12.5560438Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.0.3)
2025-10-10T00:46:13.3325291Z Installing collected packages: torch
2025-10-10T00:46:21.0792795Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2025-10-10T00:46:21.0793420Z dall-e 0.1 requires torchvision, which is not installed.
2025-10-10T00:46:21.0793719Z effdet 0.4.1 requires torchvision, which is not installed.
2025-10-10T00:46:21.0794038Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-10-10T00:46:21.0794410Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-10-10T00:46:21.0794949Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-10-10T00:46:21.0795465Z timm 1.0.14 requires torchvision, which is not installed.
2025-10-10T00:46:21.0795810Z Successfully installed torch-2.10.0a0+git344e636
2025-10-10T00:46:21.1980686Z + export TERM=vt100
2025-10-10T00:46:21.1980932Z + TERM=vt100
2025-10-10T00:46:21.1984647Z ++ dirname .ci/pytorch/test.sh
2025-10-10T00:46:21.1995075Z + source .ci/pytorch/common.sh
2025-10-10T00:46:21.1995384Z +++ dirname .ci/pytorch/common.sh
2025-10-10T00:46:21.2009112Z ++ source .ci/pytorch/common_utils.sh
2025-10-10T00:46:21.2009410Z +++ declare -f -t trap_add
2025-10-10T00:46:21.2014277Z ++ set -ex -o pipefail
2025-10-10T00:46:21.2014559Z ++ [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:46:21.2014809Z ++ BUILD_TEST_LIBTORCH=0
2025-10-10T00:46:21.2024584Z ++ dirname .ci/pytorch/test.sh
2025-10-10T00:46:21.2027302Z + source .ci/pytorch/common-build.sh
2025-10-10T00:46:21.2027800Z ++ [[ linux-jammy-py3.10-gcc11-build != *win-* ]]
2025-10-10T00:46:21.2039365Z ++++ dirname .ci/pytorch/common-build.sh
2025-10-10T00:46:21.2044892Z +++ cd .ci/pytorch
2025-10-10T00:46:21.2045135Z +++ pwd -P
2025-10-10T00:46:21.2045395Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-10-10T00:46:21.2045745Z ++ [[ linux-jammy-py3.10-gcc11-build == *-pch* ]]
2025-10-10T00:46:21.2045991Z ++ which sccache
2025-10-10T00:46:21.2070452Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-10-10T00:46:21.2070755Z ++ sccache --stop-server
2025-10-10T00:46:21.2097140Z ++ true
2025-10-10T00:46:21.2097384Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-10-10T00:46:21.2101799Z ++ trap_add sccache_epilogue EXIT
2025-10-10T00:46:21.2102056Z ++ trap_add_cmd=sccache_epilogue
2025-10-10T00:46:21.2102255Z ++ shift
2025-10-10T00:46:21.2102417Z ++ for trap_add_name in "$@"
2025-10-10T00:46:21.2108202Z ++++ trap -p EXIT
2025-10-10T00:46:21.2113993Z +++ eval 'extract_trap_cmd '
2025-10-10T00:46:21.2117757Z ++++ extract_trap_cmd
2025-10-10T00:46:21.2121069Z ++++ printf '%s\n' ''
2025-10-10T00:46:21.2121292Z +++ printf '%s\n' sccache_epilogue
2025-10-10T00:46:21.2121509Z ++ trap -- '
2025-10-10T00:46:21.2121674Z sccache_epilogue' EXIT
2025-10-10T00:46:21.2121851Z ++ [[ -n 1 ]]
2025-10-10T00:46:21.2122127Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-10-10T00:46:21.2122528Z Skipping sccache server initialization, setting environment variables
2025-10-10T00:46:21.2122814Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:46:21.2123029Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:46:21.2125539Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:46:21.2125924Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:46:21.2139995Z ++ export RUST_LOG=sccache::server=error
2025-10-10T00:46:21.2140303Z ++ RUST_LOG=sccache::server=error
2025-10-10T00:46:21.2140529Z ++ sccache --zero-stats
2025-10-10T00:46:21.3365022Z Statistics zeroed.
2025-10-10T00:46:21.3368916Z ++ which ccache
2025-10-10T00:46:21.3383692Z + [[ linux-jammy-py3.10-gcc11-build != *rocm* ]]
2025-10-10T00:46:21.3384188Z + [[ linux-jammy-py3.10-gcc11-build != *s390x* ]]
2025-10-10T00:46:21.3384914Z + [[ -d /var/lib/jenkins/workspace ]]
2025-10-10T00:46:21.3385366Z ++ stat -c %u /var/lib/jenkins/workspace
2025-10-10T00:46:21.3403372Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-10-10T00:46:21.3403663Z + trap_add cleanup_workspace EXIT
2025-10-10T00:46:21.3409276Z + trap_add_cmd=cleanup_workspace
2025-10-10T00:46:21.3409549Z + shift
2025-10-10T00:46:21.3409730Z + for trap_add_name in "$@"
2025-10-10T00:46:21.3410084Z +++ trap -p EXIT
2025-10-10T00:46:21.3416577Z ++ eval 'extract_trap_cmd trap -- '\''
2025-10-10T00:46:21.3417080Z sccache_epilogue'\'' EXIT'
2025-10-10T00:46:21.3417430Z +++ extract_trap_cmd trap -- '
2025-10-10T00:46:21.3417750Z sccache_epilogue' EXIT
2025-10-10T00:46:21.3418024Z +++ printf '%s\n' '
2025-10-10T00:46:21.3418693Z sccache_epilogue'
2025-10-10T00:46:21.3418958Z ++ printf '%s\n' cleanup_workspace
2025-10-10T00:46:21.3419202Z + trap -- '
2025-10-10T00:46:21.3419396Z sccache_epilogue
2025-10-10T00:46:21.3419579Z cleanup_workspace' EXIT
2025-10-10T00:46:21.3419810Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-10-10T00:46:21.7957729Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-10-10T00:46:21.7976355Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:46:21.7981931Z + echo 'Environment variables:'
2025-10-10T00:46:21.7982291Z Environment variables:
2025-10-10T00:46:21.7982483Z + env
2025-10-10T00:46:21.7982752Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:46:21.7983082Z CONTINUE_THROUGH_ERROR=True
2025-10-10T00:46:21.7983331Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-10-10T00:46:21.7983813Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-10-10T00:46:21.7984034Z HOSTNAME=88106be65ce0
2025-10-10T00:46:21.7984437Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_38f2c32d-262e-4ab0-92d0-b6008f5e4dcd
2025-10-10T00:46:21.7985138Z GITHUB_ACTION=__run_2
2025-10-10T00:46:21.7985352Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-10-10T00:46:21.7985574Z GITHUB_RUN_NUMBER=158985
2025-10-10T00:46:21.7985784Z TEST_CONFIG=cpu_inductor_torchbench
2025-10-10T00:46:21.7986005Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-10-10T00:46:21.7986249Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-10-10T00:46:21.7986696Z SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:46:21.7987032Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-10-10T00:46:21.7987265Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-10-10T00:46:21.7987484Z GITHUB_REF_TYPE=branch
2025-10-10T00:46:21.7987704Z BASE_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:21.7987948Z XLA_CUDA=
2025-10-10T00:46:21.7988116Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-10-10T00:46:21.7988384Z HUGGING_FACE_HUB_TOKEN=***
2025-10-10T00:46:21.7988843Z ***
2025-10-10T00:46:21.7989015Z GITHUB_REPOSITORY_ID=65600975
2025-10-10T00:46:21.7989219Z GITHUB_ACTIONS=true
2025-10-10T00:46:21.7989438Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:46:21.7989702Z SHA1=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:21.7989958Z GITHUB_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:21.7990305Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-10-10T00:46:21.7990643Z UCC_HOME=/usr
2025-10-10T00:46:21.7990811Z VERBOSE_TEST_LOGS=False
2025-10-10T00:46:21.7991172Z GITHUB_REF=refs/heads/main
2025-10-10T00:46:21.7991373Z SHARD_NUMBER=1
2025-10-10T00:46:21.7991551Z GITHUB_REF_PROTECTED=true
2025-10-10T00:46:21.7991746Z HOME=/var/lib/jenkins
2025-10-10T00:46:21.7991957Z GITHUB_API_URL=https://api.github.com
2025-10-10T00:46:21.7992195Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-10-10T00:46:21.7992395Z UCX_COMMIT=
2025-10-10T00:46:21.7992546Z USE_SYSTEM_NCCL=1
2025-10-10T00:46:21.7992713Z NUM_TEST_SHARDS=2
2025-10-10T00:46:21.7992881Z UCX_HOME=/usr
2025-10-10T00:46:21.7993279Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_38f2c32d-262e-4ab0-92d0-b6008f5e4dcd
2025-10-10T00:46:21.7993822Z JOB_NAME=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:21.7994345Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_38f2c32d-262e-4ab0-92d0-b6008f5e4dcd
2025-10-10T00:46:21.7994864Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-10-10T00:46:21.7995201Z GITHUB_EVENT_NAME=push
2025-10-10T00:46:21.7995378Z DASHBOARD_TAG=
2025-10-10T00:46:21.7995550Z GITHUB_RUN_ID=18392306145
2025-10-10T00:46:21.7995739Z INSTALLED_OPENBLAS=
2025-10-10T00:46:21.7996141Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_38f2c32d-262e-4ab0-92d0-b6008f5e4dcd
2025-10-10T00:46:21.7996579Z GITHUB_ACTOR=pytorchmergebot
2025-10-10T00:46:21.7996780Z PR_NUMBER=
2025-10-10T00:46:21.7996938Z DESIRED_CUDA=
2025-10-10T00:46:21.7997104Z GITHUB_RUN_ATTEMPT=1
2025-10-10T00:46:21.7997284Z ANACONDA_PYTHON_VERSION=3.10
2025-10-10T00:46:21.7997529Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-10-10T00:46:21.7997768Z TERM=vt100
2025-10-10T00:46:21.7997926Z INSTALLED_VISION=yes
2025-10-10T00:46:21.7998094Z BRANCH=main
2025-10-10T00:46:21.7998266Z SCCACHE_REGION=us-east-1
2025-10-10T00:46:21.7998599Z OPENSSL_ROOT_DIR=/opt/openssl
2025-10-10T00:46:21.7998805Z CUDA_PATH=/usr/local/cuda
2025-10-10T00:46:21.7999151Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-10-10T00:46:21.7999540Z GITHUB_SERVER_URL=https://github.com
2025-10-10T00:46:21.7999804Z UCC_COMMIT=
2025-10-10T00:46:21.7999967Z REENABLED_ISSUES=
2025-10-10T00:46:21.8000130Z DOCS=yes
2025-10-10T00:46:21.8000288Z SHLVL=1
2025-10-10T00:46:21.8000442Z MAX_JOBS=30
2025-10-10T00:46:21.8000605Z GITHUB_ACTOR_ID=97764156
2025-10-10T00:46:21.8000846Z GITHUB_WORKFLOW_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:21.8001108Z GITHUB_REF_NAME=main
2025-10-10T00:46:21.8001470Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:46:21.8001763Z GITHUB_JOB=test
2025-10-10T00:46:21.8001929Z NO_TEST_TIMEOUT=False
2025-10-10T00:46:21.8002115Z TD_DISTRIBUTED=False
2025-10-10T00:46:21.8002314Z GITHUB_REPOSITORY=pytorch/pytorch
2025-10-10T00:46:21.8002540Z GITHUB_RETENTION_DAYS=90
2025-10-10T00:46:21.8002734Z OPENSSL_DIR=/opt/openssl
2025-10-10T00:46:21.8002933Z GITHUB_ACTION_REPOSITORY=
2025-10-10T00:46:21.8003447Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:46:21.8003972Z GITHUB_BASE_REF=
2025-10-10T00:46:21.8004137Z INSTALLED_ACL=
2025-10-10T00:46:21.8004430Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385
2025-10-10T00:46:21.8004752Z CI=true
2025-10-10T00:46:21.8004922Z GITHUB_REPOSITORY_OWNER=pytorch
2025-10-10T00:46:21.8005169Z RUST_LOG=sccache::server=error
2025-10-10T00:46:21.8005370Z JOB_ID=52406535385
2025-10-10T00:46:21.8005541Z GITHUB_HEAD_REF=
2025-10-10T00:46:21.8005719Z GITHUB_ACTION_REF=
2025-10-10T00:46:21.8005922Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-10-10T00:46:21.8006166Z TEST_SHOWLOCALS=False
2025-10-10T00:46:21.8006346Z GITHUB_WORKFLOW=inductor
2025-10-10T00:46:21.8006539Z DEBIAN_FRONTEND=noninteractive
2025-10-10T00:46:21.8006927Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_38f2c32d-262e-4ab0-92d0-b6008f5e4dcd
2025-10-10T00:46:21.8007324Z NO_TD=False
2025-10-10T00:46:21.8007494Z SKIP_SCCACHE_INITIALIZATION=1
2025-10-10T00:46:21.8007706Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-10-10T00:46:21.8007907Z _=/usr/bin/env
2025-10-10T00:46:21.8008145Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-10-10T00:46:21.8215410Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-10-10T00:46:21.8215879Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-10-10T00:46:21.8216736Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-10-10T00:46:21.8217188Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-10-10T00:46:21.8217496Z + BUILD_DIR=build
2025-10-10T00:46:21.8217694Z + BUILD_RENAMED_DIR=build_renamed
2025-10-10T00:46:21.8217913Z + BUILD_BIN_DIR=build/bin
2025-10-10T00:46:21.8218107Z + SHARD_NUMBER=1
2025-10-10T00:46:21.8218279Z + NUM_TEST_SHARDS=2
2025-10-10T00:46:21.8218469Z + export TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:46:21.8218693Z + TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:46:21.8218897Z + export VALGRIND=ON
2025-10-10T00:46:21.8219089Z + VALGRIND=ON
2025-10-10T00:46:21.8219288Z + [[ linux-jammy-py3.10-gcc11-build == *clang9* ]]
2025-10-10T00:46:21.8219564Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:46:21.8219796Z + detect_cuda_arch
2025-10-10T00:46:21.8219994Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:46:21.8220244Z + [[ linux-jammy-py3.10-gcc11-build == *s390x* ]]
2025-10-10T00:46:21.8220476Z + [[ 0 == \1 ]]
2025-10-10T00:46:21.8220638Z + [[ True == \1 ]]
2025-10-10T00:46:21.8220832Z + [[ linux-jammy-py3.10-gcc11-build != *bazel* ]]
2025-10-10T00:46:21.8221285Z ++ realpath build/custom_test_artifacts
2025-10-10T00:46:21.8226606Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-10-10T00:46:21.8227000Z + [[ -n '' ]]
2025-10-10T00:46:21.8227206Z + echo 'Environment variables'
2025-10-10T00:46:21.8227425Z Environment variables
2025-10-10T00:46:21.8227652Z + env
2025-10-10T00:46:21.8252404Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:46:21.8252917Z CONTINUE_THROUGH_ERROR=True
2025-10-10T00:46:21.8253309Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-10-10T00:46:21.8253925Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-10-10T00:46:21.8254280Z HOSTNAME=88106be65ce0
2025-10-10T00:46:21.8255413Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_38f2c32d-262e-4ab0-92d0-b6008f5e4dcd
2025-10-10T00:46:21.8255913Z GITHUB_ACTION=__run_2
2025-10-10T00:46:21.8256126Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-10-10T00:46:21.8256345Z GITHUB_RUN_NUMBER=158985
2025-10-10T00:46:21.8256551Z TEST_CONFIG=cpu_inductor_torchbench
2025-10-10T00:46:21.8256796Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-10-10T00:46:21.8257025Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-10-10T00:46:21.8257245Z SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:46:21.8257603Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-10-10T00:46:21.8257829Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-10-10T00:46:21.8258052Z GITHUB_REF_TYPE=branch
2025-10-10T00:46:21.8258260Z BASE_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:21.8258488Z XLA_CUDA=
2025-10-10T00:46:21.8258654Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-10-10T00:46:21.8259098Z HUGGING_FACE_HUB_TOKEN=***
2025-10-10T00:46:21.8259357Z ***
2025-10-10T00:46:21.8259511Z GITHUB_REPOSITORY_ID=65600975
2025-10-10T00:46:21.8259713Z GITHUB_ACTIONS=true
2025-10-10T00:46:21.8259929Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:46:21.8260174Z SHA1=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:21.8260401Z GITHUB_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:21.8260740Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-10-10T00:46:21.8261037Z UCC_HOME=/usr
2025-10-10T00:46:21.8261201Z TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:46:21.8261381Z VERBOSE_TEST_LOGS=False
2025-10-10T00:46:21.8261560Z GITHUB_REF=refs/heads/main
2025-10-10T00:46:21.8261736Z SHARD_NUMBER=1
2025-10-10T00:46:21.8261896Z GITHUB_REF_PROTECTED=true
2025-10-10T00:46:21.8262067Z HOME=/var/lib/jenkins
2025-10-10T00:46:21.8262261Z GITHUB_API_URL=https://api.github.com
2025-10-10T00:46:21.8262479Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-10-10T00:46:21.8262668Z UCX_COMMIT=
2025-10-10T00:46:21.8262817Z USE_SYSTEM_NCCL=1
2025-10-10T00:46:21.8262985Z NUM_TEST_SHARDS=2
2025-10-10T00:46:21.8263152Z UCX_HOME=/usr
2025-10-10T00:46:21.8263534Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_38f2c32d-262e-4ab0-92d0-b6008f5e4dcd
2025-10-10T00:46:21.8264053Z JOB_NAME=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T00:46:21.8264573Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_38f2c32d-262e-4ab0-92d0-b6008f5e4dcd
2025-10-10T00:46:21.8265072Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-10-10T00:46:21.8265406Z GITHUB_EVENT_NAME=push
2025-10-10T00:46:21.8265582Z DASHBOARD_TAG=
2025-10-10T00:46:21.8265758Z GITHUB_RUN_ID=18392306145
2025-10-10T00:46:21.8265945Z INSTALLED_OPENBLAS=
2025-10-10T00:46:21.8266539Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_38f2c32d-262e-4ab0-92d0-b6008f5e4dcd
2025-10-10T00:46:21.8266994Z GITHUB_ACTOR=pytorchmergebot
2025-10-10T00:46:21.8267191Z PR_NUMBER=
2025-10-10T00:46:21.8267350Z DESIRED_CUDA=
2025-10-10T00:46:21.8267529Z GITHUB_RUN_ATTEMPT=1
2025-10-10T00:46:21.8267701Z VALGRIND=ON
2025-10-10T00:46:21.8267880Z ANACONDA_PYTHON_VERSION=3.10
2025-10-10T00:46:21.8268123Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-10-10T00:46:21.8268466Z TERM=vt100
2025-10-10T00:46:21.8268621Z INSTALLED_VISION=yes
2025-10-10T00:46:21.8268806Z BRANCH=main
2025-10-10T00:46:21.8268974Z SCCACHE_REGION=us-east-1
2025-10-10T00:46:21.8269175Z OPENSSL_ROOT_DIR=/opt/openssl
2025-10-10T00:46:21.8269368Z CUDA_PATH=/usr/local/cuda
2025-10-10T00:46:21.8269711Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-10-10T00:46:21.8270084Z GITHUB_SERVER_URL=https://github.com
2025-10-10T00:46:21.8270295Z UCC_COMMIT=
2025-10-10T00:46:21.8270442Z REENABLED_ISSUES=
2025-10-10T00:46:21.8270606Z DOCS=yes
2025-10-10T00:46:21.8270754Z SHLVL=1
2025-10-10T00:46:21.8270900Z MAX_JOBS=30
2025-10-10T00:46:21.8271049Z GITHUB_ACTOR_ID=97764156
2025-10-10T00:46:21.8271335Z GITHUB_WORKFLOW_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:46:21.8271586Z GITHUB_REF_NAME=main
2025-10-10T00:46:21.8271848Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:46:21.8272122Z GITHUB_JOB=test
2025-10-10T00:46:21.8272293Z NO_TEST_TIMEOUT=False
2025-10-10T00:46:21.8272471Z TD_DISTRIBUTED=False
2025-10-10T00:46:21.8272658Z GITHUB_REPOSITORY=pytorch/pytorch
2025-10-10T00:46:21.8272860Z GITHUB_RETENTION_DAYS=90
2025-10-10T00:46:21.8273047Z OPENSSL_DIR=/opt/openssl
2025-10-10T00:46:21.8273237Z GITHUB_ACTION_REPOSITORY=
2025-10-10T00:46:21.8273737Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:46:21.8274233Z GITHUB_BASE_REF=
2025-10-10T00:46:21.8274408Z INSTALLED_ACL=
2025-10-10T00:46:21.8274680Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385
2025-10-10T00:46:21.8274981Z CI=true
2025-10-10T00:46:21.8275143Z GITHUB_REPOSITORY_OWNER=pytorch
2025-10-10T00:46:21.8275400Z RUST_LOG=sccache::server=error
2025-10-10T00:46:21.8275596Z JOB_ID=52406535385
2025-10-10T00:46:21.8275762Z GITHUB_HEAD_REF=
2025-10-10T00:46:21.8275925Z GITHUB_ACTION_REF=
2025-10-10T00:46:21.8276137Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-10-10T00:46:21.8276378Z TEST_SHOWLOCALS=False
2025-10-10T00:46:21.8276559Z GITHUB_WORKFLOW=inductor
2025-10-10T00:46:21.8276750Z DEBIAN_FRONTEND=noninteractive
2025-10-10T00:46:21.8277125Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_38f2c32d-262e-4ab0-92d0-b6008f5e4dcd
2025-10-10T00:46:21.8277530Z NO_TD=False
2025-10-10T00:46:21.8277703Z SKIP_SCCACHE_INITIALIZATION=1
2025-10-10T00:46:21.8277920Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-10-10T00:46:21.8278123Z _=/usr/bin/env
2025-10-10T00:46:21.8278292Z + echo 'Testing pytorch'
2025-10-10T00:46:21.8278472Z Testing pytorch
2025-10-10T00:46:21.8278650Z + export LANG=C.UTF-8
2025-10-10T00:46:21.8278820Z + LANG=C.UTF-8
2025-10-10T00:46:21.8278981Z + PR_NUMBER=
2025-10-10T00:46:21.8279172Z + [[ cpu_inductor_torchbench == \d\e\f\a\u\l\t ]]
2025-10-10T00:46:21.8279431Z + [[ cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-10-10T00:46:21.8279688Z + [[ cpu_inductor_torchbench == \s\l\o\w ]]
2025-10-10T00:46:21.8279956Z + [[ linux-jammy-py3.10-gcc11-build == *slow-gradcheck* ]]
2025-10-10T00:46:21.8280238Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:46:21.8280489Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:46:21.8280727Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:46:21.8280972Z + [[ cpu_inductor_torchbench == *crossref* ]]
2025-10-10T00:46:21.8281214Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:46:21.8281457Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:46:21.8281705Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-10-10T00:46:21.8281941Z + pip_install ninja==1.10.2
2025-10-10T00:46:21.8282199Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-10-10T00:46:21.8282505Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-10-10T00:46:22.2431419Z Collecting ninja==1.10.2
2025-10-10T00:46:22.2624025Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-10-10T00:46:22.2756134Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-10-10T00:46:23.0502516Z Installing collected packages: ninja
2025-10-10T00:46:23.0505961Z   Attempting uninstall: ninja
2025-10-10T00:46:23.0515289Z     Found existing installation: ninja 1.11.1.4
2025-10-10T00:46:23.0528961Z     Uninstalling ninja-1.11.1.4:
2025-10-10T00:46:23.0792368Z       Successfully uninstalled ninja-1.11.1.4
2025-10-10T00:46:23.1625104Z Successfully installed ninja-1.10.2
2025-10-10T00:46:23.2735555Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:46:23.2736596Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:46:23.2737264Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-10-10T00:46:23.2737549Z + [[ linux-jammy-py3.10-gcc11-build == *asan* ]]
2025-10-10T00:46:23.2737810Z + [[ linux-jammy-py3.10-gcc11-build == *-debug* ]]
2025-10-10T00:46:23.2738075Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-10-10T00:46:23.2738440Z + echo 'We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass'
2025-10-10T00:46:23.2738926Z We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass
2025-10-10T00:46:23.2739583Z + cd test
2025-10-10T00:46:23.2739837Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-10-10T00:46:23.5636906Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:46:23.5637774Z   import pynvml  # type: ignore[import]
2025-10-10T00:46:24.4720374Z + [[ cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-10-10T00:46:24.4725365Z + [[ cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-10-10T00:46:24.4729686Z + [[ cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-10-10T00:46:24.4734508Z + DYNAMO_BENCHMARK_FLAGS=()
2025-10-10T00:46:24.4740010Z + [[ cpu_inductor_torchbench == *pr_time_benchmarks* ]]
2025-10-10T00:46:24.4741774Z + [[ cpu_inductor_torchbench == *dynamo_eager* ]]
2025-10-10T00:46:24.4742046Z + [[ cpu_inductor_torchbench == *aot_eager* ]]
2025-10-10T00:46:24.4742320Z + [[ cpu_inductor_torchbench == *aot_inductor* ]]
2025-10-10T00:46:24.4742635Z + [[ cpu_inductor_torchbench == *max_autotune_inductor* ]]
2025-10-10T00:46:24.4742899Z + [[ cpu_inductor_torchbench == *inductor* ]]
2025-10-10T00:46:24.4743128Z + [[ cpu_inductor_torchbench != *perf* ]]
2025-10-10T00:46:24.4743406Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-10-10T00:46:24.4743642Z + [[ cpu_inductor_torchbench == *dynamic* ]]
2025-10-10T00:46:24.4743873Z + [[ cpu_inductor_torchbench == *cpu* ]]
2025-10-10T00:46:24.4744093Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-10-10T00:46:24.5107326Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-10-10T00:46:24.5107703Z + [[ linux-jammy-py3.10-gcc11-build == *-bazel-* ]]
2025-10-10T00:46:24.5113672Z + cd test
2025-10-10T00:46:24.5113957Z + python -c 'import torch; print(torch.__config__.show())'
2025-10-10T00:46:24.8018377Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:46:24.8019278Z   import pynvml  # type: ignore[import]
2025-10-10T00:46:25.4460282Z PyTorch built with:
2025-10-10T00:46:25.4460551Z   - GCC 11.4
2025-10-10T00:46:25.4461177Z   - C++ Version: 201703
2025-10-10T00:46:25.4461575Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-10-10T00:46:25.4462048Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-10-10T00:46:25.4462356Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-10-10T00:46:25.4462606Z   - LAPACK is enabled (usually provided by MKL)
2025-10-10T00:46:25.4462836Z   - NNPACK is enabled
2025-10-10T00:46:25.4463025Z   - CPU capability usage: AVX512
2025-10-10T00:46:25.4466043Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-10-10T00:46:25.4469186Z 
2025-10-10T00:46:25.6979178Z + cd test
2025-10-10T00:46:25.6979526Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-10-10T00:46:26.0172062Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:46:26.0172999Z   import pynvml  # type: ignore[import]
2025-10-10T00:46:26.6556973Z ATen/Parallel:
2025-10-10T00:46:26.6557304Z 	at::get_num_threads() : 16
2025-10-10T00:46:26.6557541Z 	at::get_num_interop_threads() : 16
2025-10-10T00:46:26.6557761Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-10-10T00:46:26.6557965Z 	omp_get_max_threads() : 16
2025-10-10T00:46:26.6558319Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-10-10T00:46:26.6558732Z 	mkl_get_max_threads() : 16
2025-10-10T00:46:26.6559049Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-10-10T00:46:26.6559360Z std::thread::hardware_concurrency() : 32
2025-10-10T00:46:26.6559611Z Environment variables:
2025-10-10T00:46:26.6559826Z 	OMP_NUM_THREADS : [not set]
2025-10-10T00:46:26.6560033Z 	MKL_NUM_THREADS : [not set]
2025-10-10T00:46:26.6560236Z ATen parallel backend: OpenMP
2025-10-10T00:46:26.6560363Z 
2025-10-10T00:46:26.9128048Z + [[ cpu_inductor_torchbench == *numpy_2* ]]
2025-10-10T00:46:26.9129635Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-10-10T00:46:26.9130127Z + [[ cpu_inductor_torchbench == *backward* ]]
2025-10-10T00:46:26.9130522Z + [[ cpu_inductor_torchbench == *xla* ]]
2025-10-10T00:46:26.9130911Z + [[ cpu_inductor_torchbench == *vllm* ]]
2025-10-10T00:46:26.9131298Z + [[ cpu_inductor_torchbench == *executorch* ]]
2025-10-10T00:46:26.9132242Z + [[ cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-10-10T00:46:26.9132620Z + [[ cpu_inductor_torchbench == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-10-10T00:46:26.9132984Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-10-10T00:46:26.9133269Z + [[ cpu_inductor_torchbench == distributed ]]
2025-10-10T00:46:26.9133547Z + [[ cpu_inductor_torchbench == *operator_benchmark* ]]
2025-10-10T00:46:26.9134193Z + [[ cpu_inductor_torchbench == *operator_microbenchmark* ]]
2025-10-10T00:46:26.9134499Z + [[ cpu_inductor_torchbench == *inductor_distributed* ]]
2025-10-10T00:46:26.9134764Z + [[ cpu_inductor_torchbench == *inductor-halide* ]]
2025-10-10T00:46:26.9135053Z + [[ cpu_inductor_torchbench == *inductor-triton-cpu* ]]
2025-10-10T00:46:26.9135359Z + [[ cpu_inductor_torchbench == *inductor-micro-benchmark* ]]
2025-10-10T00:46:26.9135677Z + [[ cpu_inductor_torchbench == *huggingface* ]]
2025-10-10T00:46:26.9135926Z + [[ cpu_inductor_torchbench == *timm* ]]
2025-10-10T00:46:26.9136165Z + [[ cpu_inductor_torchbench == cachebench ]]
2025-10-10T00:46:26.9136412Z + [[ cpu_inductor_torchbench == verify_cachebench ]]
2025-10-10T00:46:26.9136772Z + [[ cpu_inductor_torchbench == *torchbench* ]]
2025-10-10T00:46:26.9137005Z + install_torchaudio
2025-10-10T00:46:26.9137176Z + local commit
2025-10-10T00:46:26.9137358Z ++ get_pinned_commit audio
2025-10-10T00:46:26.9137570Z ++ cat .github/ci_commit_pins/audio.txt
2025-10-10T00:46:26.9151671Z + commit=87ff22e49ed0e92576c4935ccb8c143daac4a3cd
2025-10-10T00:46:26.9152218Z + pip_build_and_install git+https://github.com/pytorch/audio.git@87ff22e49ed0e92576c4935ccb8c143daac4a3cd dist/audio
2025-10-10T00:46:26.9152794Z + local build_target=git+https://github.com/pytorch/audio.git@87ff22e49ed0e92576c4935ccb8c143daac4a3cd
2025-10-10T00:46:26.9153174Z + local wheel_dir=dist/audio
2025-10-10T00:46:26.9153384Z + local found_whl=0
2025-10-10T00:46:26.9153580Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:46:26.9153907Z + [[ -f dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl ]]
2025-10-10T00:46:26.9154225Z + found_whl=1
2025-10-10T00:46:26.9154396Z + break
2025-10-10T00:46:26.9154550Z + '[' 1 == 0 ']'
2025-10-10T00:46:26.9154744Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:46:26.9155080Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:46:26.9155508Z + args=('dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl')
2025-10-10T00:46:26.9155816Z + local args
2025-10-10T00:46:26.9156090Z + [[ dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-10-10T00:46:26.9156421Z + for path in "${args[@]}"
2025-10-10T00:46:26.9156739Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl'
2025-10-10T00:46:26.9157170Z Installing dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:46:26.9157657Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:46:27.2224464Z Processing ./dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:46:27.2271656Z Installing collected packages: torchaudio
2025-10-10T00:46:27.3876512Z Successfully installed torchaudio-2.8.0a0+87ff22e
2025-10-10T00:46:27.4287147Z + install_torchvision
2025-10-10T00:46:27.4287435Z + local orig_preload
2025-10-10T00:46:27.4287635Z + local commit
2025-10-10T00:46:27.4287842Z ++ get_pinned_commit vision
2025-10-10T00:46:27.4288067Z ++ cat .github/ci_commit_pins/vision.txt
2025-10-10T00:46:27.4311240Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-10-10T00:46:27.4311545Z + orig_preload=
2025-10-10T00:46:27.4311723Z + '[' -n '' ']'
2025-10-10T00:46:27.4311931Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:46:27.4312401Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-10-10T00:46:27.4312952Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-10-10T00:46:27.4313289Z + local wheel_dir=dist/vision
2025-10-10T00:46:27.4313481Z + local found_whl=0
2025-10-10T00:46:27.4313681Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:46:27.4313978Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]]
2025-10-10T00:46:27.4314260Z + found_whl=1
2025-10-10T00:46:27.4314409Z + break
2025-10-10T00:46:27.4314841Z + '[' 1 == 0 ']'
2025-10-10T00:46:27.4315010Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:46:27.4315329Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:46:27.4315729Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl')
2025-10-10T00:46:27.4316010Z + local args
2025-10-10T00:46:27.4316268Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-10-10T00:46:27.4316574Z + for path in "${args[@]}"
2025-10-10T00:46:27.4316868Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl'
2025-10-10T00:46:27.4317283Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:46:27.4317859Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:46:27.7370161Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:46:27.7450111Z Installing collected packages: torchvision
2025-10-10T00:46:28.1315427Z Successfully installed torchvision-0.22.0a0+966da7e
2025-10-10T00:46:28.1748182Z + '[' -n '' ']'
2025-10-10T00:46:28.1751046Z + id=0
2025-10-10T00:46:28.1751260Z + pip_install opencv-python==4.8.0.74
2025-10-10T00:46:28.1751573Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-10-10T00:46:28.1751923Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-10-10T00:46:28.5653577Z Collecting opencv-python==4.8.0.74
2025-10-10T00:46:28.5866513Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-10-10T00:46:28.5973414Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4)
2025-10-10T00:46:28.6068026Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-10-10T00:46:30.0424612Z Installing collected packages: opencv-python
2025-10-10T00:46:30.0424963Z   Attempting uninstall: opencv-python
2025-10-10T00:46:30.0442988Z     Found existing installation: opencv-python 4.11.0.86
2025-10-10T00:46:30.0499835Z     Uninstalling opencv-python-4.11.0.86:
2025-10-10T00:46:30.1298757Z       Successfully uninstalled opencv-python-4.11.0.86
2025-10-10T00:46:31.0045752Z Successfully installed opencv-python-4.8.0.74
2025-10-10T00:46:31.1381641Z + [[ cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-10-10T00:46:31.1382085Z + [[ cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-10-10T00:46:31.1382429Z + [[ cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]]
2025-10-10T00:46:31.1382751Z + [[ cpu_inductor_torchbench != *cpu* ]]
2025-10-10T00:46:31.1382985Z + PYTHONPATH=/torchbench
2025-10-10T00:46:31.1383199Z + test_dynamo_benchmark torchbench 0
2025-10-10T00:46:31.1383416Z ++ pwd
2025-10-10T00:46:31.1383652Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:46:31.1383940Z + local suite=torchbench
2025-10-10T00:46:31.1384118Z + shift
2025-10-10T00:46:31.1384278Z + local shard_id=0
2025-10-10T00:46:31.1384449Z + shift
2025-10-10T00:46:31.1384638Z + [[ cpu_inductor_torchbench == *perf_compare* ]]
2025-10-10T00:46:31.1384882Z + [[ cpu_inductor_torchbench == *perf* ]]
2025-10-10T00:46:31.1385218Z + [[ cpu_inductor_torchbench == *cpu* ]]
2025-10-10T00:46:31.1385447Z + local dt=float32
2025-10-10T00:46:31.1385637Z + [[ cpu_inductor_torchbench == *amp* ]]
2025-10-10T00:46:31.1385865Z + [[ cpu_inductor_torchbench == *freezing* ]]
2025-10-10T00:46:31.1386189Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32
2025-10-10T00:46:31.1388413Z ++ pwd
2025-10-10T00:46:31.1388786Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:46:31.1389168Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:46:31.1408250Z + local name=inference
2025-10-10T00:46:31.1408485Z + shift
2025-10-10T00:46:31.1409043Z + local suite=torchbench
2025-10-10T00:46:31.1409269Z + shift
2025-10-10T00:46:31.1409419Z + local shard_id=0
2025-10-10T00:46:31.1409591Z + shift
2025-10-10T00:46:31.1409748Z + partition_flags=()
2025-10-10T00:46:31.1409939Z + local partition_flags
2025-10-10T00:46:31.1410124Z + [[ -n 2 ]]
2025-10-10T00:46:31.1410282Z + [[ -n 0 ]]
2025-10-10T00:46:31.1410575Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-10-10T00:46:31.1410950Z + [[ cpu_inductor_torchbench == *perf_compare* ]]
2025-10-10T00:46:31.1411197Z + [[ cpu_inductor_torchbench == *perf* ]]
2025-10-10T00:46:31.1411432Z + [[ cpu_inductor_torchbench == *_avx2* ]]
2025-10-10T00:46:31.1411670Z + [[ cpu_inductor_torchbench == *_avx512* ]]
2025-10-10T00:46:31.1412594Z + 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
2025-10-10T00:46:31.4358176Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:46:31.4359197Z   import pynvml  # type: ignore[import]
2025-10-10T00:46:33.9398047Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:46:33.9398996Z   import pynvml  # type: ignore[import]
2025-10-10T00:46:36.1596920Z 
2025-10-10T00:46:37.7320827Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:46:37.7321134Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:46:37.7338049Z cpu  eval  BERT_pytorch                       
2025-10-10T00:46:38.1866005Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:46:38.4149237Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:46:38.6472809Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:46:47.7496428Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7496943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7497326Z     return mod(*inputs)
2025-10-10T00:46:47.7497760Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7498218Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7498596Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward
2025-10-10T00:46:47.7499041Z     mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1)
2025-10-10T00:46:47.7499232Z 
2025-10-10T00:46:47.7499352Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7499762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7500120Z     return mod(*inputs)
2025-10-10T00:46:47.7500486Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7500892Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7501255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward
2025-10-10T00:46:47.7501654Z     x = self.embedding(x, segment_info)
2025-10-10T00:46:47.7502072Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward
2025-10-10T00:46:47.7502580Z     x = self.token(sequence) + self.position(sequence) + self.segment(segment_label)
2025-10-10T00:46:47.7503192Z 
2025-10-10T00:46:47.7503309Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7503711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7504070Z     return mod(*inputs)
2025-10-10T00:46:47.7504458Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7504853Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7505206Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7521863Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7522612Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7523054Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7523484Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7523959Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7524400Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7524847Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7525305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7525726Z     query, key, value = [
2025-10-10T00:46:47.7526136Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7526649Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7526838Z 
2025-10-10T00:46:47.7526967Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7527368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7527738Z     return mod(*inputs)
2025-10-10T00:46:47.7528114Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7528528Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7528891Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7529275Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7529669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7530086Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7530512Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7530949Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7531378Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7531818Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7532271Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7532679Z     query, key, value = [
2025-10-10T00:46:47.7533083Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7533555Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7533743Z 
2025-10-10T00:46:47.7533865Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7534256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7534596Z     return mod(*inputs)
2025-10-10T00:46:47.7534955Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7535477Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7535841Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7536206Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7536631Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7537037Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7537441Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7537860Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7538313Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7538741Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7539561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7540037Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7540509Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7541007Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7541239Z 
2025-10-10T00:46:47.7541360Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7541758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7542117Z     return mod(*inputs)
2025-10-10T00:46:47.7542483Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7542872Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7543242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7543623Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7544010Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7544409Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7544817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7545251Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7545674Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7546097Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7546656Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7547139Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7547617Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7548121Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7548350Z 
2025-10-10T00:46:47.7548477Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7548867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7549223Z     return mod(*inputs)
2025-10-10T00:46:47.7549595Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7549998Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7550359Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7550737Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7551122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7551573Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7551977Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7552402Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7552823Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7553245Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7553691Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7554206Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7554666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7555157Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7555388Z 
2025-10-10T00:46:47.7555504Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7555896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7556264Z     return mod(*inputs)
2025-10-10T00:46:47.7556628Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7557027Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7557391Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7557768Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7558150Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7558555Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7558970Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7559405Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7559819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7560248Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7560704Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7561117Z     query, key, value = [
2025-10-10T00:46:47.7561507Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7561968Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7562153Z 
2025-10-10T00:46:47.7562265Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7562648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7563004Z     return mod(*inputs)
2025-10-10T00:46:47.7563373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7563763Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7564127Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7564498Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7564886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7565289Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7565701Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7566147Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7566599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7567009Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7567439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7567902Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7568347Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7568759Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7568912Z 
2025-10-10T00:46:47.7569114Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7569482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7569822Z     return mod(*inputs)
2025-10-10T00:46:47.7570179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7570557Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7570899Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7571257Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7571624Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7572015Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7572408Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7572824Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7573236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7573648Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7574086Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7574541Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7574978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7575385Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7575544Z 
2025-10-10T00:46:47.7575657Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7576031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7576364Z     return mod(*inputs)
2025-10-10T00:46:47.7576721Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7577104Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7577458Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7577817Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7578182Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7578574Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7578969Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7579388Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7579788Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7580205Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7580637Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.7581152Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.7581352Z 
2025-10-10T00:46:47.7581472Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7581845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7582189Z     return mod(*inputs)
2025-10-10T00:46:47.7582556Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7582951Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7583317Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7583724Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7584108Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7584509Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7584922Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7585347Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7585762Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7586183Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7586735Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.7587158Z     return self.output_linear(x)
2025-10-10T00:46:47.7587296Z 
2025-10-10T00:46:47.7587411Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7587816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7588178Z     return mod(*inputs)
2025-10-10T00:46:47.7588546Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7588947Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7589304Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7589677Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7590064Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7590468Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7590872Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7591570Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7592017Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7592473Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7592663Z 
2025-10-10T00:46:47.7592787Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7593170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7593521Z     return mod(*inputs)
2025-10-10T00:46:47.7593884Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7594278Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7594631Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7595004Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7595396Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7595802Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7596209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7596747Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7597194Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7597649Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7597834Z 
2025-10-10T00:46:47.7597959Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7598361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7598717Z     return mod(*inputs)
2025-10-10T00:46:47.7599148Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7599556Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7599905Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7600259Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7600630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7601018Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7601411Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7601830Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7602259Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7602699Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7602886Z 
2025-10-10T00:46:47.7603000Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7603378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7603737Z     return mod(*inputs)
2025-10-10T00:46:47.7604089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7604470Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7604817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7605171Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7605531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7605920Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7606317Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7606739Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7607137Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7607555Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7607992Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7608400Z     query, key, value = [
2025-10-10T00:46:47.7608777Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7609231Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7609409Z 
2025-10-10T00:46:47.7609518Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7609898Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7610237Z     return mod(*inputs)
2025-10-10T00:46:47.7610584Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7610969Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7611359Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7611718Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7612083Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7612474Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7612870Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7613286Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7613691Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7614136Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7614573Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7614973Z     query, key, value = [
2025-10-10T00:46:47.7615358Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7615807Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7615978Z 
2025-10-10T00:46:47.7616089Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7616466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7616808Z     return mod(*inputs)
2025-10-10T00:46:47.7617161Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7617538Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7617896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7618258Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7618638Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7619032Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7619421Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7619847Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7620255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7620669Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7621109Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7621565Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7622015Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7622491Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7622706Z 
2025-10-10T00:46:47.7622822Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7623193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7623533Z     return mod(*inputs)
2025-10-10T00:46:47.7623885Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7624268Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7624617Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7624973Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7625349Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7625740Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7626183Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7626714Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7627134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7627567Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7628021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7628498Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7628993Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7629491Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7629728Z 
2025-10-10T00:46:47.7629844Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7630238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7630587Z     return mod(*inputs)
2025-10-10T00:46:47.7630944Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7631339Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7631701Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7632076Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7632464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7632860Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7633273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7633712Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7634130Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7634551Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7634997Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7635532Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7636000Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7636483Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7636723Z 
2025-10-10T00:46:47.7636859Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7637353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7637717Z     return mod(*inputs)
2025-10-10T00:46:47.7638083Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7638485Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7638841Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7639219Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7639607Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7640011Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7640462Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7640900Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7641323Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7641794Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7642241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7642641Z     query, key, value = [
2025-10-10T00:46:47.7643050Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7643503Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7643674Z 
2025-10-10T00:46:47.7643794Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7644238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7644580Z     return mod(*inputs)
2025-10-10T00:46:47.7644935Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7645319Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7645669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7646022Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7646392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7646785Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7647182Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7647603Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7648002Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7648415Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7648847Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7649309Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7649751Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7650188Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7650338Z 
2025-10-10T00:46:47.7650448Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7650823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7651161Z     return mod(*inputs)
2025-10-10T00:46:47.7651516Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7651890Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7652242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7652605Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7652979Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7653365Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7653750Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7654167Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7654573Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7654983Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7655408Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7655862Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7656356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7656770Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7656924Z 
2025-10-10T00:46:47.7657042Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7657417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7657759Z     return mod(*inputs)
2025-10-10T00:46:47.7658117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7658504Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7658889Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7659243Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7659616Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7660009Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7660405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7660815Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7661226Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7661643Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7662078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.7662549Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.7662753Z 
2025-10-10T00:46:47.7662865Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7663248Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7663591Z     return mod(*inputs)
2025-10-10T00:46:47.7663947Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7664330Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7664677Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7665039Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7665406Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7665796Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7666195Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7666723Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7667148Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7667587Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7668056Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.7668458Z     return self.output_linear(x)
2025-10-10T00:46:47.7668599Z 
2025-10-10T00:46:47.7668711Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7669099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7669457Z     return mod(*inputs)
2025-10-10T00:46:47.7669829Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7670226Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7670589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7671012Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7671399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7671799Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7672208Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7672646Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7673090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7673547Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7673731Z 
2025-10-10T00:46:47.7673881Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7674272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7674622Z     return mod(*inputs)
2025-10-10T00:46:47.7674983Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7675370Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7675729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7676098Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7676478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7676882Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7677283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7677719Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7678160Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7678618Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7678803Z 
2025-10-10T00:46:47.7678925Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7679302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7679652Z     return mod(*inputs)
2025-10-10T00:46:47.7680016Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7680409Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7680761Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7681130Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7681531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7681927Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7682326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7682741Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7683168Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7683603Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7683778Z 
2025-10-10T00:46:47.7683896Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7684273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7684616Z     return mod(*inputs)
2025-10-10T00:46:47.7684974Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7685356Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7685702Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7686102Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7686478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7686873Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7687277Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7687697Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7687870Z 
2025-10-10T00:46:47.7687980Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7688404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7688743Z     return mod(*inputs)
2025-10-10T00:46:47.7689095Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7689472Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7689823Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7690182Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7690550Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7691086Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7691486Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7691905Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7692318Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7692734Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7693174Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7693567Z     query, key, value = [
2025-10-10T00:46:47.7693955Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7694411Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7694731Z 
2025-10-10T00:46:47.7694855Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7695227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7695565Z     return mod(*inputs)
2025-10-10T00:46:47.7695921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7696310Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7696659Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7697019Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7697389Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7697779Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7698173Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7698586Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7698996Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7699407Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7699845Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7700244Z     query, key, value = [
2025-10-10T00:46:47.7700625Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7701172Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7701358Z 
2025-10-10T00:46:47.7701476Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7701869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7702234Z     return mod(*inputs)
2025-10-10T00:46:47.7702589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7702986Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7703348Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7703802Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7704179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7704586Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7704999Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7705442Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7705865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7706339Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7706805Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7707284Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7707752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7708242Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7708469Z 
2025-10-10T00:46:47.7708584Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7708977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7709349Z     return mod(*inputs)
2025-10-10T00:46:47.7709717Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7710108Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7710473Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7710846Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7711234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7711643Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7712044Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7712482Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7712903Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7713332Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7713783Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7714247Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7714707Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7715196Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7715422Z 
2025-10-10T00:46:47.7715547Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7715936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7716353Z     return mod(*inputs)
2025-10-10T00:46:47.7716714Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7717114Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7717465Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7717819Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7718192Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7718594Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7719030Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7719449Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7719851Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7720268Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7720702Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7721159Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7721594Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7722090Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7722321Z 
2025-10-10T00:46:47.7722440Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7722837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7723192Z     return mod(*inputs)
2025-10-10T00:46:47.7723533Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7723916Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7724265Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7724625Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7724999Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7725382Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7725775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7726198Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7726607Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7727010Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7727446Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7727844Z     query, key, value = [
2025-10-10T00:46:47.7728232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7728678Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7728851Z 
2025-10-10T00:46:47.7728962Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7729340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7729680Z     return mod(*inputs)
2025-10-10T00:46:47.7730031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7730410Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7730754Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7731159Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7731529Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7731917Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7732307Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7732722Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7733130Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7733578Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7734020Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7734470Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7734919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7735334Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7735488Z 
2025-10-10T00:46:47.7735607Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7735990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7736324Z     return mod(*inputs)
2025-10-10T00:46:47.7736682Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7737071Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7737430Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7737783Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7738159Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7738558Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7738957Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7739382Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7739783Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7740196Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7740637Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7741103Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7741549Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7741956Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7742118Z 
2025-10-10T00:46:47.7742231Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7742623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7742967Z     return mod(*inputs)
2025-10-10T00:46:47.7743324Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7743723Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7744084Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7744459Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7744846Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7745242Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7745655Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7746132Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7746675Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7747100Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7747558Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.7748039Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.7748249Z 
2025-10-10T00:46:47.7748374Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7748834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7749194Z     return mod(*inputs)
2025-10-10T00:46:47.7749556Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7749952Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7750314Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7750684Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7751060Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7751465Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7751874Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7752307Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7752718Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7753150Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7753604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.7754021Z     return self.output_linear(x)
2025-10-10T00:46:47.7754161Z 
2025-10-10T00:46:47.7754283Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7754668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7755042Z     return mod(*inputs)
2025-10-10T00:46:47.7755406Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7755799Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7756166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7756531Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7756915Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7757322Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7757729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7758151Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7758590Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7759049Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7759227Z 
2025-10-10T00:46:47.7759346Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7759727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7760058Z     return mod(*inputs)
2025-10-10T00:46:47.7760407Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7760847Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7761197Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7761561Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7761931Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7762321Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7762714Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7763134Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7763587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7764028Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7764213Z 
2025-10-10T00:46:47.7764325Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7764700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7765038Z     return mod(*inputs)
2025-10-10T00:46:47.7765377Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7765752Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7766101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7766458Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7766820Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7767216Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7767608Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7768024Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7768451Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7768879Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7769063Z 
2025-10-10T00:46:47.7769175Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7769546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7769885Z     return mod(*inputs)
2025-10-10T00:46:47.7770236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7770605Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7770958Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7771316Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7771687Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7772069Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7772464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7772887Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7773295Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7773711Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7774138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7774538Z     query, key, value = [
2025-10-10T00:46:47.7774926Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7775421Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7775597Z 
2025-10-10T00:46:47.7775719Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7776098Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7776449Z     return mod(*inputs)
2025-10-10T00:46:47.7776812Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7777207Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7777555Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7777920Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7778337Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7778733Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7779130Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7779555Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7779964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7780383Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7780819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7781210Z     query, key, value = [
2025-10-10T00:46:47.7781599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7782052Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7782225Z 
2025-10-10T00:46:47.7782345Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7782718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7783048Z     return mod(*inputs)
2025-10-10T00:46:47.7783402Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7783784Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7784132Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7784484Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7784853Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7785247Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7785647Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7786072Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7786582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7787012Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7787458Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7787936Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7788384Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7788864Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7789093Z 
2025-10-10T00:46:47.7789214Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7789601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7789958Z     return mod(*inputs)
2025-10-10T00:46:47.7790376Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7790771Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7791343Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7791723Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7792116Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7792521Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7792939Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7793450Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7793873Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7794304Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7794762Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7795240Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7795703Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7796202Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7796430Z 
2025-10-10T00:46:47.7796555Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7796939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7797298Z     return mod(*inputs)
2025-10-10T00:46:47.7797660Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7798051Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7798407Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7798778Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7799163Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7799569Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7799984Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7800395Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7800810Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7801224Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7801660Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7802121Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7802575Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7803044Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7803267Z 
2025-10-10T00:46:47.7803378Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7803758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7804102Z     return mod(*inputs)
2025-10-10T00:46:47.7804455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7804837Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7805185Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7805606Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7805972Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7806369Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7806767Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7807188Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7807600Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7808005Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7808495Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7808901Z     query, key, value = [
2025-10-10T00:46:47.7809292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7809741Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7809923Z 
2025-10-10T00:46:47.7810035Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7810426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7810768Z     return mod(*inputs)
2025-10-10T00:46:47.7811121Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7811496Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7811851Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7812213Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7812588Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7812978Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7813372Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7813794Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7814203Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7814622Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7815049Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7815507Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7815956Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7816365Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7816520Z 
2025-10-10T00:46:47.7816637Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7817007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7817348Z     return mod(*inputs)
2025-10-10T00:46:47.7817701Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7818082Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7818427Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7818797Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7819151Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7819538Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7819938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7820403Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7820807Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7821224Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7821656Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7822112Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7822542Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7822980Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7823137Z 
2025-10-10T00:46:47.7823249Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7823629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7823973Z     return mod(*inputs)
2025-10-10T00:46:47.7824335Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7824728Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7825086Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7825456Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7825829Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7826299Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7826726Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7827163Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7827586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7828007Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7828444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.7828908Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.7829111Z 
2025-10-10T00:46:47.7829230Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7829599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7829945Z     return mod(*inputs)
2025-10-10T00:46:47.7830303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7830686Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7831035Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7831391Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7831759Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7832148Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7832538Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7832953Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7833351Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7833769Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7834203Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.7834604Z     return self.output_linear(x)
2025-10-10T00:46:47.7834736Z 
2025-10-10T00:46:47.7834847Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7835269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7835610Z     return mod(*inputs)
2025-10-10T00:46:47.7835968Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7836351Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7836691Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7837050Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7837420Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7837879Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7838266Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7838683Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7839111Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7839552Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7839726Z 
2025-10-10T00:46:47.7839844Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7840208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7840544Z     return mod(*inputs)
2025-10-10T00:46:47.7840893Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7841270Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7841620Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7841978Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7842346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7842740Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7843132Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7843541Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7843965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7844404Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7844580Z 
2025-10-10T00:46:47.7844699Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7845076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7845407Z     return mod(*inputs)
2025-10-10T00:46:47.7845758Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7846140Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7846486Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7846836Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7847209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7847600Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7847991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7848404Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7848822Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7849256Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7849483Z 
2025-10-10T00:46:47.7849593Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7849968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7850309Z     return mod(*inputs)
2025-10-10T00:46:47.7850651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7851030Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7851380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7851737Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7852138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7852531Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7852929Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7853331Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7853491Z 
2025-10-10T00:46:47.7853602Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7853949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7854271Z     return mod(*inputs)
2025-10-10T00:46:47.7854602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7854962Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7855296Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7855657Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7856031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7856421Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7856820Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7857235Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7857617Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7858013Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7858427Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7858802Z     query, key, value = [
2025-10-10T00:46:47.7859166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7859600Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7859770Z 
2025-10-10T00:46:47.7859876Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7860236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7860554Z     return mod(*inputs)
2025-10-10T00:46:47.7860890Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7861265Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7861617Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7861981Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7862353Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7862760Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7863171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7863592Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7864042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7864451Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7864885Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7865281Z     query, key, value = [
2025-10-10T00:46:47.7865669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7866116Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7866376Z 
2025-10-10T00:46:47.7866551Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7866958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7867326Z     return mod(*inputs)
2025-10-10T00:46:47.7867701Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7868077Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7868429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7868791Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7869162Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7869545Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7869940Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7870369Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7870800Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7871212Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7871639Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7872101Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7872553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7873025Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7873238Z 
2025-10-10T00:46:47.7873355Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7873723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7874068Z     return mod(*inputs)
2025-10-10T00:46:47.7874419Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7874797Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7875146Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7875497Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7875871Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7876270Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7876663Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7877083Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7877490Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7877904Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7878335Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7878842Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7879280Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7879753Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7879980Z 
2025-10-10T00:46:47.7880094Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7880476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7880818Z     return mod(*inputs)
2025-10-10T00:46:47.7881197Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7881580Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7881927Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7882294Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7882655Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7883046Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7883453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7883880Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7884299Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7884712Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7885148Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7885601Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7886042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7886511Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7886723Z 
2025-10-10T00:46:47.7886835Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7887212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7887552Z     return mod(*inputs)
2025-10-10T00:46:47.7887903Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7888282Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7888631Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7888993Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7889364Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7889756Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7890143Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7890558Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7891087Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7891509Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7891946Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7892333Z     query, key, value = [
2025-10-10T00:46:47.7892728Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7893176Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7893422Z 
2025-10-10T00:46:47.7893539Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7893910Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7894251Z     return mod(*inputs)
2025-10-10T00:46:47.7894607Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7894988Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7895340Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7895695Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7896130Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7896531Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7896928Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7897346Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7897755Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7898173Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7898610Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7899073Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7899513Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7899920Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7900071Z 
2025-10-10T00:46:47.7900178Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7900552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7900898Z     return mod(*inputs)
2025-10-10T00:46:47.7901246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7901634Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7901987Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7902350Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7902718Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7903115Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7903517Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7903940Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7904360Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7904816Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7905273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7905735Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7906191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7906668Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7906824Z 
2025-10-10T00:46:47.7906941Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7907334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7907701Z     return mod(*inputs)
2025-10-10T00:46:47.7908063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7908514Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7908865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7909231Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7909606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7909994Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7910385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7910803Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7911243Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7911656Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7912090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.7912554Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.7912766Z 
2025-10-10T00:46:47.7912877Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7913267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7913621Z     return mod(*inputs)
2025-10-10T00:46:47.7913968Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7914353Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7914707Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7915077Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7915451Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7915842Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7916242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7916665Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7917073Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7917500Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7917927Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.7918331Z     return self.output_linear(x)
2025-10-10T00:46:47.7918473Z 
2025-10-10T00:46:47.7918584Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7918794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7918874Z     return mod(*inputs)
2025-10-10T00:46:47.7919117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7919200Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7919417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7919496Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7919738Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7919834Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7920086Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7920201Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7920456Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7920628Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7920632Z 
2025-10-10T00:46:47.7920742Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7920960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7921030Z     return mod(*inputs)
2025-10-10T00:46:47.7921270Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7921355Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7921569Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7921700Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7921935Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7922035Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7922279Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7922393Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7922655Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7922778Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7922782Z 
2025-10-10T00:46:47.7922898Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7923105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7923174Z     return mod(*inputs)
2025-10-10T00:46:47.7923428Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7923503Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7923725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7923807Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7924041Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7924141Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7924387Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7924508Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7924769Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7924904Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7924908Z 
2025-10-10T00:46:47.7925020Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7925232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7925313Z     return mod(*inputs)
2025-10-10T00:46:47.7925566Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7925649Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7925866Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7925943Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7926186Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7926279Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7926527Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7926639Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7926880Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7927037Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7927297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7927380Z     query, key, value = [
2025-10-10T00:46:47.7927648Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7927772Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7927776Z 
2025-10-10T00:46:47.7927885Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7928124Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7928201Z     return mod(*inputs)
2025-10-10T00:46:47.7928439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7928525Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7928738Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7928817Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7929054Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7929146Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7929391Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7929503Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7929745Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7929862Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7930119Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7930203Z     query, key, value = [
2025-10-10T00:46:47.7930470Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7930593Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7930597Z 
2025-10-10T00:46:47.7930703Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7930911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7930988Z     return mod(*inputs)
2025-10-10T00:46:47.7931230Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7931315Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7931530Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7931612Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7931851Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7931943Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7932188Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7932300Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7932537Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7932652Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7932910Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7933056Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7933337Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7933506Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7933510Z 
2025-10-10T00:46:47.7933619Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7933824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7933901Z     return mod(*inputs)
2025-10-10T00:46:47.7934139Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7934228Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7934475Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7934563Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7934798Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7934893Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7935142Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7935254Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7935494Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7935607Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7935863Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7936011Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7936259Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7936426Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7936430Z 
2025-10-10T00:46:47.7936537Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7936753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7936821Z     return mod(*inputs)
2025-10-10T00:46:47.7937061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7937146Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7937364Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7937452Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7937687Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7937778Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7938032Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7938143Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7938383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7938497Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7938753Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7938894Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7939146Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7939308Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7939312Z 
2025-10-10T00:46:47.7939421Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7939676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7939744Z     return mod(*inputs)
2025-10-10T00:46:47.7939978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7940061Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7940272Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7940355Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7940584Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7940708Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7940958Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7941071Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7941322Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7941437Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7941713Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7941785Z     query, key, value = [
2025-10-10T00:46:47.7942061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7942189Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7942193Z 
2025-10-10T00:46:47.7942306Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7942526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7942594Z     return mod(*inputs)
2025-10-10T00:46:47.7942843Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7942928Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7943149Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7943234Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7943474Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7943569Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7943825Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7943943Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7944191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7944310Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7944582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7944718Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7944973Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7945078Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7945082Z 
2025-10-10T00:46:47.7945195Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7945415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7945488Z     return mod(*inputs)
2025-10-10T00:46:47.7945737Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7945822Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7946098Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7946188Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7946504Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7946609Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7946866Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7946984Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7947287Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7947406Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7947676Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7947819Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7948071Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7948176Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7948180Z 
2025-10-10T00:46:47.7948292Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7948511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7948581Z     return mod(*inputs)
2025-10-10T00:46:47.7948828Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7948917Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7949139Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7949226Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7949466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7949570Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7949817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7949931Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7950178Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7950295Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7950569Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.7950717Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.7950721Z 
2025-10-10T00:46:47.7950833Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7951054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7951123Z     return mod(*inputs)
2025-10-10T00:46:47.7951372Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7951449Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7951676Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7951757Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7951994Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7952100Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7952347Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7952469Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7952744Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7952860Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7953130Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.7953211Z     return self.output_linear(x)
2025-10-10T00:46:47.7953215Z 
2025-10-10T00:46:47.7953333Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7953546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7953615Z     return mod(*inputs)
2025-10-10T00:46:47.7953907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7953985Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7954205Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7954288Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7954539Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7954627Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7954853Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7954968Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7955206Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7955329Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7955333Z 
2025-10-10T00:46:47.7955433Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7955626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7955702Z     return mod(*inputs)
2025-10-10T00:46:47.7955924Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7956001Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7956201Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7956275Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7956501Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7956587Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7956820Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7956925Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7957170Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7957288Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7957291Z 
2025-10-10T00:46:47.7957392Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7957592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7957656Z     return mod(*inputs)
2025-10-10T00:46:47.7957884Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7957956Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7958162Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7958246Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7958463Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7958594Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7958821Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7958927Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7959174Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7959294Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7959298Z 
2025-10-10T00:46:47.7959412Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7959650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7959727Z     return mod(*inputs)
2025-10-10T00:46:47.7959968Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7960046Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7960268Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7960346Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7960588Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7960681Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7960919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7961042Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7961045Z 
2025-10-10T00:46:47.7961156Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7961370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7961439Z     return mod(*inputs)
2025-10-10T00:46:47.7961688Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7961766Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7961981Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7962068Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7962302Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7962400Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7962638Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7962751Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7962995Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7963112Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7963380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7963451Z     query, key, value = [
2025-10-10T00:46:47.7963723Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7963845Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7963849Z 
2025-10-10T00:46:47.7963956Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7964168Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7964236Z     return mod(*inputs)
2025-10-10T00:46:47.7964485Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7964559Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7964773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7964903Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7965136Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7965237Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7965477Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7965590Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7965831Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7965980Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7966251Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7966324Z     query, key, value = [
2025-10-10T00:46:47.7966597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7966720Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7966724Z 
2025-10-10T00:46:47.7966831Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7967052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7967119Z     return mod(*inputs)
2025-10-10T00:46:47.7967367Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7967444Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7967662Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7967749Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7967983Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7968086Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7968326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7968437Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7968679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7968793Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7969058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7969197Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7969453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7969617Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7969621Z 
2025-10-10T00:46:47.7969729Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7969940Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7970006Z     return mod(*inputs)
2025-10-10T00:46:47.7970250Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7970324Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7970540Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7970626Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7970864Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7970963Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7971250Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7971360Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7971602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7971715Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7971979Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7972113Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7972423Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7972581Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7972585Z 
2025-10-10T00:46:47.7972691Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7972909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7972976Z     return mod(*inputs)
2025-10-10T00:46:47.7973221Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7973297Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7973510Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7973597Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7973829Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7973932Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7974171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7974289Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7974524Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7974636Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7974933Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7975066Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7975329Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.7975485Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.7975490Z 
2025-10-10T00:46:47.7975599Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7975824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7975895Z     return mod(*inputs)
2025-10-10T00:46:47.7976142Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7976215Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7976440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7976519Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7976750Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7976852Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7977093Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7977213Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7977445Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7977596Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7977862Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7977932Z     query, key, value = [
2025-10-10T00:46:47.7978212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7978334Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7978337Z 
2025-10-10T00:46:47.7978446Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7978698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7978769Z     return mod(*inputs)
2025-10-10T00:46:47.7979014Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7979092Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7979313Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7979391Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7979623Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7979724Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7979962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7980081Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7980320Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7980433Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7980699Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7980836Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7981091Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7981186Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7981190Z 
2025-10-10T00:46:47.7981303Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7981507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7981575Z     return mod(*inputs)
2025-10-10T00:46:47.7981825Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7981901Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7982124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7982206Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7982436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7982539Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7982777Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7982895Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7983128Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7983242Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7983509Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.7983642Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.7983898Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.7984060Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.7984064Z 
2025-10-10T00:46:47.7984181Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7984391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7984461Z     return mod(*inputs)
2025-10-10T00:46:47.7984715Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7984793Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7985054Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7985138Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7985375Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7985482Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7985730Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7985850Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7986088Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7986204Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7986566Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.7986713Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.7986723Z 
2025-10-10T00:46:47.7986843Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7987052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7987133Z     return mod(*inputs)
2025-10-10T00:46:47.7987380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7987458Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7987690Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7987772Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7988020Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7988116Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7988368Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7988492Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7988731Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7988860Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7989124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.7989216Z     return self.output_linear(x)
2025-10-10T00:46:47.7989220Z 
2025-10-10T00:46:47.7989331Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7989552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7989633Z     return mod(*inputs)
2025-10-10T00:46:47.7989881Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7989970Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7990193Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7990272Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7991561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7991659Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7991914Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7992027Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7992288Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7992423Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7992428Z 
2025-10-10T00:46:47.7992618Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7992841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7992910Z     return mod(*inputs)
2025-10-10T00:46:47.7993166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7993247Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7993470Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7993560Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7993800Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7993903Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7994151Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7994268Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7994538Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7994666Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7994673Z 
2025-10-10T00:46:47.7994790Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7995014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7995091Z     return mod(*inputs)
2025-10-10T00:46:47.7995339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7995416Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7995645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7995729Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7995979Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.7996084Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.7996332Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7996457Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7996716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.7996848Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.7996851Z 
2025-10-10T00:46:47.7996961Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.7997170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.7997247Z     return mod(*inputs)
2025-10-10T00:46:47.7997497Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.7997580Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.7997801Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.7997931Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.7998175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.7998269Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.7998527Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.7998642Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.7998890Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.7999019Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.7999313Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.7999396Z     query, key, value = [
2025-10-10T00:46:47.7999665Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.7999794Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.7999797Z 
2025-10-10T00:46:47.7999904Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8000110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8000185Z     return mod(*inputs)
2025-10-10T00:46:47.8000423Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8000505Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8000720Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8000806Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8001039Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8001133Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8001381Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8001491Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8001729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8001844Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8002101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8002180Z     query, key, value = [
2025-10-10T00:46:47.8002450Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8002573Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8002577Z 
2025-10-10T00:46:47.8002687Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8002901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8002968Z     return mod(*inputs)
2025-10-10T00:46:47.8003204Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8003287Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8003500Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8003584Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8003817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8003908Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8004155Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8004300Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8004539Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8004650Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8004906Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8005050Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8005295Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8005496Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8005500Z 
2025-10-10T00:46:47.8005608Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8005823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8005894Z     return mod(*inputs)
2025-10-10T00:46:47.8006134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8006218Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8006433Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8006521Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8006754Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8006847Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8007094Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8007205Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8007444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8007560Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8007816Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8007959Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8008211Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8008377Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8008381Z 
2025-10-10T00:46:47.8008490Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8008709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8008777Z     return mod(*inputs)
2025-10-10T00:46:47.8009015Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8009101Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8009317Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8009404Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8009636Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8009729Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8009974Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8010086Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8010327Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8010439Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8010736Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8010868Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8011120Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8011283Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8011286Z 
2025-10-10T00:46:47.8011394Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8011605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8011672Z     return mod(*inputs)
2025-10-10T00:46:47.8011941Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8012025Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8012246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8012331Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8012561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8012661Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8012898Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8013007Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8013247Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8013360Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8013623Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8013697Z     query, key, value = [
2025-10-10T00:46:47.8013965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8014088Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8014092Z 
2025-10-10T00:46:47.8014198Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8014416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8014483Z     return mod(*inputs)
2025-10-10T00:46:47.8014721Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8014803Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8015023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8015106Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8015323Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8015418Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8015645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8015750Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8015976Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8016082Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8016331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8016461Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8016694Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.8016828Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.8016832Z 
2025-10-10T00:46:47.8016934Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8017136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8017204Z     return mod(*inputs)
2025-10-10T00:46:47.8017442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8017516Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8017722Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8017810Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8018090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8018189Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8018429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8018540Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8018779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8018893Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8019159Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8019292Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8019541Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.8019642Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.8019647Z 
2025-10-10T00:46:47.8019754Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8019973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8020041Z     return mod(*inputs)
2025-10-10T00:46:47.8020289Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8020364Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8020577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8020664Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8020896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8020997Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8021239Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8021351Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8021597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8021710Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8021973Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.8022122Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.8022126Z 
2025-10-10T00:46:47.8022241Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8022447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8022517Z     return mod(*inputs)
2025-10-10T00:46:47.8022770Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8022846Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8023070Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8023187Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8023421Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8023520Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8023764Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8023883Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8024118Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8024263Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8024529Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.8024612Z     return self.output_linear(x)
2025-10-10T00:46:47.8024616Z 
2025-10-10T00:46:47.8024730Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8024935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8025011Z     return mod(*inputs)
2025-10-10T00:46:47.8025248Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8025322Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8025545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8025625Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8025876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8025972Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8026293Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8026434Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8026695Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8026832Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8026836Z 
2025-10-10T00:46:47.8026949Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8027161Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8027243Z     return mod(*inputs)
2025-10-10T00:46:47.8027495Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8027592Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8027805Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8027895Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8028128Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8028221Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8028467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8028576Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8028838Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8028960Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8028967Z 
2025-10-10T00:46:47.8029075Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8029300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8029404Z     return mod(*inputs)
2025-10-10T00:46:47.8029650Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8029724Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8029940Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8030024Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8030253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8030353Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8030621Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8030742Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8030992Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8031115Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8031119Z 
2025-10-10T00:46:47.8031236Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8031453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8031529Z     return mod(*inputs)
2025-10-10T00:46:47.8031767Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8031839Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8032060Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8032140Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8032381Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8032472Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8032718Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8032835Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8032838Z 
2025-10-10T00:46:47.8032944Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8033155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8033223Z     return mod(*inputs)
2025-10-10T00:46:47.8033468Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8033540Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8033757Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8033842Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8034074Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8034175Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8034413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8034522Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8034759Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8034873Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8035138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8035211Z     query, key, value = [
2025-10-10T00:46:47.8035488Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8035607Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8035646Z 
2025-10-10T00:46:47.8035755Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8035969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8036037Z     return mod(*inputs)
2025-10-10T00:46:47.8036291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8036366Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8036580Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8036667Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8036932Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8037033Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8037275Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8037389Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8037628Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8037744Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8038011Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8038084Z     query, key, value = [
2025-10-10T00:46:47.8038365Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8038483Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8038486Z 
2025-10-10T00:46:47.8038595Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8038809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8038881Z     return mod(*inputs)
2025-10-10T00:46:47.8039130Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8039206Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8039422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8039510Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8039746Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8039845Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8040089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8040200Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8040442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8040557Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8040821Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8040957Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8041210Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8041369Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8041373Z 
2025-10-10T00:46:47.8041482Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8041702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8041768Z     return mod(*inputs)
2025-10-10T00:46:47.8042015Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8042133Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8042350Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8042436Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8042666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8042765Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8043006Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8043122Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8043390Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8043505Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8043772Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8043907Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8044161Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8044317Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8044320Z 
2025-10-10T00:46:47.8044427Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8044638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8044705Z     return mod(*inputs)
2025-10-10T00:46:47.8044950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8045025Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8045250Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8045330Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8045562Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8045661Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8045897Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8046015Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8046248Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8046362Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8046626Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8046761Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8047011Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8047170Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8047173Z 
2025-10-10T00:46:47.8047281Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8047474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8047538Z     return mod(*inputs)
2025-10-10T00:46:47.8047769Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8047843Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8048052Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8048126Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8048374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8048468Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8048692Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8048803Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8049021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8049125Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8049410Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8049477Z     query, key, value = [
2025-10-10T00:46:47.8049739Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8049850Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8049854Z 
2025-10-10T00:46:47.8049963Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8050157Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8050222Z     return mod(*inputs)
2025-10-10T00:46:47.8050455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8050526Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8050736Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8050814Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8051033Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8051129Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8051359Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8051476Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8051709Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8051821Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8052090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8052216Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8052458Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.8052547Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.8052551Z 
2025-10-10T00:46:47.8052660Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8052856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8052921Z     return mod(*inputs)
2025-10-10T00:46:47.8053156Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8053227Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8053437Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8053513Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8053733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8053832Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8054057Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8054170Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8054429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8054542Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8054787Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8054913Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8055155Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.8055242Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.8055246Z 
2025-10-10T00:46:47.8055386Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8055583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8055646Z     return mod(*inputs)
2025-10-10T00:46:47.8055883Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8055962Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8056175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8056249Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8056467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8056564Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8056791Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8056904Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8057134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8057258Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8057514Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.8057659Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.8057663Z 
2025-10-10T00:46:47.8057782Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8057986Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8058062Z     return mod(*inputs)
2025-10-10T00:46:47.8058300Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8058378Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8058600Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8058678Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8058925Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8059012Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8059245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8059351Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8059572Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8059686Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8059930Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.8060017Z     return self.output_linear(x)
2025-10-10T00:46:47.8060021Z 
2025-10-10T00:46:47.8060129Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8060366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8060444Z     return mod(*inputs)
2025-10-10T00:46:47.8060681Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8060762Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8060975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8061054Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8061294Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8061387Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8061665Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8061779Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8062042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8062167Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8062171Z 
2025-10-10T00:46:47.8062279Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8062495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8062561Z     return mod(*inputs)
2025-10-10T00:46:47.8062811Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8062885Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8063103Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8063193Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8063435Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8063541Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8063791Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8063905Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8064178Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8064304Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8064308Z 
2025-10-10T00:46:47.8064426Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8064649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8064726Z     return mod(*inputs)
2025-10-10T00:46:47.8064966Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8065042Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8065265Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8065344Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8065585Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8065677Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8065923Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8066044Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8066386Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8066527Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8066532Z 
2025-10-10T00:46:47.8066696Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8066916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8066987Z     return mod(*inputs)
2025-10-10T00:46:47.8067235Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8067321Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8067544Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8067633Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8067870Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8068001Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8068261Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8068377Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8068643Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8068761Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8069038Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8069121Z     query, key, value = [
2025-10-10T00:46:47.8069405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8069535Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8069539Z 
2025-10-10T00:46:47.8069653Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8069874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8069945Z     return mod(*inputs)
2025-10-10T00:46:47.8070190Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8070277Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8070496Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8070582Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8070831Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8070925Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8071187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8071303Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8071545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8071664Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8071935Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8072017Z     query, key, value = [
2025-10-10T00:46:47.8072288Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8072418Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8072422Z 
2025-10-10T00:46:47.8072533Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8072758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8072832Z     return mod(*inputs)
2025-10-10T00:46:47.8073078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8073163Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8073413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8073499Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8073731Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8073822Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8074067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8074178Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8074416Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8074601Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8074867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8075015Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8075269Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8075435Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8075439Z 
2025-10-10T00:46:47.8075548Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8075780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8075849Z     return mod(*inputs)
2025-10-10T00:46:47.8076098Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8076182Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8076408Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8076499Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8076738Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8076833Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8077092Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8077205Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8077456Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8077582Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8077860Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8077994Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8078251Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8078418Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8078421Z 
2025-10-10T00:46:47.8078530Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8078748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8078814Z     return mod(*inputs)
2025-10-10T00:46:47.8079053Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8079133Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8079352Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8079437Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8079670Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8079815Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8080051Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8080158Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8080397Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8080509Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8080771Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8080935Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8081184Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8081351Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8081357Z 
2025-10-10T00:46:47.8081463Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8081676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8081743Z     return mod(*inputs)
2025-10-10T00:46:47.8081988Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8082064Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8082283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8082370Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8082605Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8082707Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8082948Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8083062Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8083303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8083416Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8083684Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8083756Z     query, key, value = [
2025-10-10T00:46:47.8084025Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8084151Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8084155Z 
2025-10-10T00:46:47.8084264Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8084479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8084551Z     return mod(*inputs)
2025-10-10T00:46:47.8084800Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8084875Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8085090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8085177Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8085409Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8085511Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8085757Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8085867Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8086113Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8086290Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8086554Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8086688Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8086934Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.8087038Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.8087043Z 
2025-10-10T00:46:47.8087152Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8087416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8087489Z     return mod(*inputs)
2025-10-10T00:46:47.8087741Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8087821Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8088042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8088131Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8088368Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8088468Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8088716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8088829Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8089079Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8089193Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8089481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8089612Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8089866Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.8089959Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.8089963Z 
2025-10-10T00:46:47.8090072Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8090290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8090360Z     return mod(*inputs)
2025-10-10T00:46:47.8090615Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8090692Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8091114Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8091219Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8091460Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8091564Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8091811Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8091924Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8092179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8092298Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8092574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.8092724Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.8092795Z 
2025-10-10T00:46:47.8092915Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8093139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8093207Z     return mod(*inputs)
2025-10-10T00:46:47.8093463Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8093541Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8093769Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8093849Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8094141Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8094246Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8094492Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8094620Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8094865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8094992Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8095261Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.8095345Z     return self.output_linear(x)
2025-10-10T00:46:47.8095349Z 
2025-10-10T00:46:47.8095472Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8095703Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8095782Z     return mod(*inputs)
2025-10-10T00:46:47.8096032Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8096115Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8096347Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8096432Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8096679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8096777Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8097026Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8097149Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8097418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8097555Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8097559Z 
2025-10-10T00:46:47.8097678Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8097913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8097985Z     return mod(*inputs)
2025-10-10T00:46:47.8098242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8098333Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8098559Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8098650Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8098892Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8098994Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8099255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8099410Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8099675Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8099801Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8099805Z 
2025-10-10T00:46:47.8099924Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8100134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8100202Z     return mod(*inputs)
2025-10-10T00:46:47.8100453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8100563Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8100792Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8100870Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8101114Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8101217Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8101464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8101583Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8101854Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8101973Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8101976Z 
2025-10-10T00:46:47.8102092Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8102300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8102374Z     return mod(*inputs)
2025-10-10T00:46:47.8102612Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8102697Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8102911Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8102989Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8103232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8103325Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8103577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8103691Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8103696Z 
2025-10-10T00:46:47.8103804Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8104027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8104100Z     return mod(*inputs)
2025-10-10T00:46:47.8104355Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8104431Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8104652Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8104738Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8104975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8105079Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8105330Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8105450Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8105689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8105842Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8106118Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8106191Z     query, key, value = [
2025-10-10T00:46:47.8106721Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8106846Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8106850Z 
2025-10-10T00:46:47.8106961Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8107226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8107297Z     return mod(*inputs)
2025-10-10T00:46:47.8107552Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8107633Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8107859Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8107945Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8108176Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8108276Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8108518Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8108767Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8108999Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8109117Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8109381Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8109453Z     query, key, value = [
2025-10-10T00:46:47.8109725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8109840Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8109843Z 
2025-10-10T00:46:47.8109960Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8110170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8110236Z     return mod(*inputs)
2025-10-10T00:46:47.8110478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8110557Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8110783Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8110862Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8111097Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8111198Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8111438Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8111555Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8111785Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8111899Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8112166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8112300Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8112551Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8112746Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8112750Z 
2025-10-10T00:46:47.8112866Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8113071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8113138Z     return mod(*inputs)
2025-10-10T00:46:47.8113385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8113461Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8113724Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8113803Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8114037Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8114141Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8114382Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8114494Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8114712Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8114820Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8115069Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8115197Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8115439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8115595Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8115602Z 
2025-10-10T00:46:47.8115719Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8115922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8115989Z     return mod(*inputs)
2025-10-10T00:46:47.8116235Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8116309Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8116532Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8116610Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8116845Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8116942Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8117167Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8117281Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8117511Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8117625Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8117867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8117993Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8118235Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8118385Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8118389Z 
2025-10-10T00:46:47.8118499Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8118725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8118788Z     return mod(*inputs)
2025-10-10T00:46:47.8119025Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8119096Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8119304Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8119378Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8119598Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8119694Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8119949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8120063Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8120283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8120396Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8120639Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8120707Z     query, key, value = [
2025-10-10T00:46:47.8120967Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8121077Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8121080Z 
2025-10-10T00:46:47.8121190Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8121390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8121455Z     return mod(*inputs)
2025-10-10T00:46:47.8121689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8121762Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8121972Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8122046Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8122272Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8122358Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8122583Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8122700Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8122921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8123034Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8123281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8123414Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8123667Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.8123760Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.8123764Z 
2025-10-10T00:46:47.8123878Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8124082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8124157Z     return mod(*inputs)
2025-10-10T00:46:47.8124396Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8124470Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8124692Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8124804Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8125043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8125134Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8125373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8125490Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8125722Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8125873Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8126130Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8126260Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8126515Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.8126606Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.8126610Z 
2025-10-10T00:46:47.8126726Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8126928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8127002Z     return mod(*inputs)
2025-10-10T00:46:47.8127237Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8127313Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8127546Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8127620Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8127845Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8127935Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8128159Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8128272Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8128488Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8128600Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8128841Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.8128979Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.8128991Z 
2025-10-10T00:46:47.8129093Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8129289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8129360Z     return mod(*inputs)
2025-10-10T00:46:47.8129584Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8129663Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8129868Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8129942Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8130170Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8130258Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8130494Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8130599Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8130850Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8130965Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8131255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.8131339Z     return self.output_linear(x)
2025-10-10T00:46:47.8131343Z 
2025-10-10T00:46:47.8131451Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8131673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8131740Z     return mod(*inputs)
2025-10-10T00:46:47.8132027Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8132111Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8132324Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8132411Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8132642Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8132734Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8132982Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8133090Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8133346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8133471Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8133475Z 
2025-10-10T00:46:47.8133583Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8133804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8133874Z     return mod(*inputs)
2025-10-10T00:46:47.8134123Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8134197Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8134419Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8134497Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8134727Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8134826Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8135069Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8135187Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8135437Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8135562Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8135565Z 
2025-10-10T00:46:47.8135681Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8135896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8135972Z     return mod(*inputs)
2025-10-10T00:46:47.8136219Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8136293Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8136515Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8136596Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8136835Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8136926Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8137211Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8137320Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8137570Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8137698Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8137702Z 
2025-10-10T00:46:47.8137808Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8138030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8138136Z     return mod(*inputs)
2025-10-10T00:46:47.8138374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8138455Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8138669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8138756Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8138984Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8139076Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8139320Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8139429Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8139665Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8139781Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8140043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8140116Z     query, key, value = [
2025-10-10T00:46:47.8140382Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8140504Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8140508Z 
2025-10-10T00:46:47.8140615Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8140825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8140893Z     return mod(*inputs)
2025-10-10T00:46:47.8141129Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8141213Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8141428Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8141516Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8141745Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8141846Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8142082Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8142192Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8142432Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8142543Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8142805Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8142878Z     query, key, value = [
2025-10-10T00:46:47.8143147Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8143307Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8143311Z 
2025-10-10T00:46:47.8143418Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8143631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8143698Z     return mod(*inputs)
2025-10-10T00:46:47.8143934Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8144017Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8144230Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8144317Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8144589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8144692Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8144933Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8145047Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8145286Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8145398Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8145664Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8145799Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8146050Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8146291Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8146299Z 
2025-10-10T00:46:47.8146414Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8146634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8146703Z     return mod(*inputs)
2025-10-10T00:46:47.8146950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8147026Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8147242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8147331Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8147564Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8147669Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8147908Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8148019Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8148262Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8148373Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8148638Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8148771Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8149022Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8149185Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8149192Z 
2025-10-10T00:46:47.8149300Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8149512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8149624Z     return mod(*inputs)
2025-10-10T00:46:47.8149870Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8149944Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8150161Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8150246Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8150479Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8150580Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8150862Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8150974Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8151215Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8151331Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8151596Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8151726Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8151978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-10-10T00:46:47.8152124Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-10-10T00:46:47.8152127Z 
2025-10-10T00:46:47.8152230Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8152438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8152507Z     return mod(*inputs)
2025-10-10T00:46:47.8152758Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8152837Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8153053Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8153141Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8153371Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8153471Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8153708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8153825Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8154058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8154169Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8154441Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-10-10T00:46:47.8154511Z     query, key, value = [
2025-10-10T00:46:47.8154768Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-10-10T00:46:47.8154877Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-10-10T00:46:47.8154880Z 
2025-10-10T00:46:47.8154982Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8155184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8155249Z     return mod(*inputs)
2025-10-10T00:46:47.8155483Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8155555Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8155759Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8155880Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8156098Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8156192Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8156421Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8156531Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8156752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8156859Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8157145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8157271Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8157514Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.8157606Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.8157610Z 
2025-10-10T00:46:47.8157713Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8157932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8157999Z     return mod(*inputs)
2025-10-10T00:46:47.8158251Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8158325Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8158550Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8158632Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8158849Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8158947Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8159173Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8159284Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8159503Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8159610Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8159861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-10-10T00:46:47.8159987Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-10-10T00:46:47.8160233Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-10-10T00:46:47.8160320Z     return torch.matmul(p_attn, value), p_attn
2025-10-10T00:46:47.8160326Z 
2025-10-10T00:46:47.8160428Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8160629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8160693Z     return mod(*inputs)
2025-10-10T00:46:47.8160925Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8160996Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8161207Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8161283Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8161507Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8161601Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8161827Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8161983Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8162201Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8162310Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8162562Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-10-10T00:46:47.8162705Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-10-10T00:46:47.8162710Z 
2025-10-10T00:46:47.8162826Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8163064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8163141Z     return mod(*inputs)
2025-10-10T00:46:47.8163382Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8163459Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8163686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8163766Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8164010Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-10-10T00:46:47.8164097Z     x = self.input_sublayer(x, self.lambda_module)
2025-10-10T00:46:47.8164328Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8164441Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8164664Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-10-10T00:46:47.8164781Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-10-10T00:46:47.8165028Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-10-10T00:46:47.8165106Z     return self.output_linear(x)
2025-10-10T00:46:47.8165110Z 
2025-10-10T00:46:47.8165220Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8165414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8165483Z     return mod(*inputs)
2025-10-10T00:46:47.8165710Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8165791Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8166008Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8166091Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8166332Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8166425Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8166679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8166790Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8167043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8167174Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8167178Z 
2025-10-10T00:46:47.8167284Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8167502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8167573Z     return mod(*inputs)
2025-10-10T00:46:47.8167822Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8167906Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8168171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8168261Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8168495Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8168598Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8168844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8168959Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8169232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8169394Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8169399Z 
2025-10-10T00:46:47.8169519Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8169731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8169802Z     return mod(*inputs)
2025-10-10T00:46:47.8170058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8170133Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8170364Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8170445Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8170683Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8170788Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8171043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8171163Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8171442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-10-10T00:46:47.8171573Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-10-10T00:46:47.8171576Z 
2025-10-10T00:46:47.8171687Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8171899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8171979Z     return mod(*inputs)
2025-10-10T00:46:47.8172236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-10-10T00:46:47.8172320Z     x = self.bert(x, segment_label)
2025-10-10T00:46:47.8172545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-10-10T00:46:47.8172625Z     x = transformer.forward(x, mask)
2025-10-10T00:46:47.8172872Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-10-10T00:46:47.8172970Z     x = self.output_sublayer(x, self.feed_forward)
2025-10-10T00:46:47.8173222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-10-10T00:46:47.8173334Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-10-10T00:46:47.8173339Z 
2025-10-10T00:46:47.8173457Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8173679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8173749Z     return mod(*inputs)
2025-10-10T00:46:47.8174008Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-10-10T00:46:47.8174111Z     return self.next_sentence(x), self.mask_lm(x)
2025-10-10T00:46:47.8174364Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward
2025-10-10T00:46:47.8174496Z     return self.softmax(self.linear(x[:, 0]))
2025-10-10T00:46:47.8174500Z 
2025-10-10T00:46:47.8174610Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:47.8174844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:47.8174914Z     return mod(*inputs)
2025-10-10T00:46:47.8175180Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-10-10T00:46:47.8175278Z     return self.next_sentence(x), self.mask_lm(x)
2025-10-10T00:46:47.8175537Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward
2025-10-10T00:46:47.8175633Z     return self.softmax(self.linear(x))
2025-10-10T00:46:47.8175677Z 
2025-10-10T00:47:06.7108630Z Compilation time (from dynamo_timed): 26.425765807
2025-10-10T00:47:06.7162126Z pass
2025-10-10T00:47:06.7162712Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:06.7163734Z TIMING: _recursive_pre_grad_passes:0.00833 _recursive_joint_graph_passes:0.50911 _recursive_post_grad_passes:0.15247 async_compile.wait:0.68091 code_gen:18.25851 inductor_compile:20.1434 backend_compile:23.48851 gc:0.00018 entire_frame_compile:26.42577 total_wall_time:26.42577
2025-10-10T00:47:06.7164844Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5252 | FakeTensorMode.__torch_dispatch__:9792 | ProxyTorchDispatchMode.__torch_dispatch__:2752
2025-10-10T00:47:06.7165462Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique)
2025-10-10T00:47:08.7211749Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:47:08.7212657Z   import pynvml  # type: ignore[import]
2025-10-10T00:47:10.9189796Z 
2025-10-10T00:47:13.3976548Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:47:13.3976863Z loading model: 0it [00:02, ?it/s]
2025-10-10T00:47:13.3990119Z cpu  eval  Background_Matting                 
2025-10-10T00:47:13.4195909Z Compilation time (from dynamo_timed): 0
2025-10-10T00:47:13.4196233Z pass_due_to_skip
2025-10-10T00:47:13.4196574Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:13.4196933Z TIMING: total_wall_time:0
2025-10-10T00:47:13.4197197Z STATS: call_* op count: 0
2025-10-10T00:47:13.4197488Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-10-10T00:47:14.6456978Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:47:14.6457878Z   import pynvml  # type: ignore[import]
2025-10-10T00:47:16.8330463Z 
2025-10-10T00:47:18.5882941Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:47:18.5885084Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:47:18.5888596Z cpu  eval  LearningToPaint                    
2025-10-10T00:47:18.6750425Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:18.7053287Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:18.7328146Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:23.0096596Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0096984Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0097257Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0097485Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0097702Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0097930Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0098621Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0098868Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0099083Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0099310Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0099524Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0099743Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0099963Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0100217Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0100473Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0100694Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0100913Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0101228Z cudagraph partition due to non gpu ops
2025-10-10T00:47:23.0101490Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0101917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0102301Z     return mod(*inputs)
2025-10-10T00:47:23.0102678Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-10-10T00:47:23.0103092Z     x = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0103247Z 
2025-10-10T00:47:23.0103368Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0103777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0104135Z     return mod(*inputs)
2025-10-10T00:47:23.0104496Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-10-10T00:47:23.0104889Z     x = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0105042Z 
2025-10-10T00:47:23.0105159Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0105552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0105910Z     return mod(*inputs)
2025-10-10T00:47:23.0106266Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:47:23.0106868Z     x = self.layer1(x)
2025-10-10T00:47:23.0107222Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0107619Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0107767Z 
2025-10-10T00:47:23.0107888Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0108289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0108646Z     return mod(*inputs)
2025-10-10T00:47:23.0109000Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:47:23.0109383Z     x = self.layer1(x)
2025-10-10T00:47:23.0109731Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0110111Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0110266Z 
2025-10-10T00:47:23.0110376Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0110758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0111106Z     return mod(*inputs)
2025-10-10T00:47:23.0111444Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:47:23.0111820Z     x = self.layer1(x)
2025-10-10T00:47:23.0112160Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:47:23.0112565Z     out = self.bn2(self.conv2(out))
2025-10-10T00:47:23.0112705Z 
2025-10-10T00:47:23.0112825Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0113201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0113546Z     return mod(*inputs)
2025-10-10T00:47:23.0113959Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:47:23.0114332Z     x = self.layer1(x)
2025-10-10T00:47:23.0114665Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-10-10T00:47:23.0115049Z     out += self.shortcut(x)
2025-10-10T00:47:23.0115184Z 
2025-10-10T00:47:23.0115295Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0115680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0116014Z     return mod(*inputs)
2025-10-10T00:47:23.0116378Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:47:23.0116744Z     x = self.layer1(x)
2025-10-10T00:47:23.0117076Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0117450Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0117591Z 
2025-10-10T00:47:23.0117696Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0118068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0118403Z     return mod(*inputs)
2025-10-10T00:47:23.0118741Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:47:23.0119109Z     x = self.layer1(x)
2025-10-10T00:47:23.0119431Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0119800Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0119947Z 
2025-10-10T00:47:23.0120057Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0120428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0120757Z     return mod(*inputs)
2025-10-10T00:47:23.0121097Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:47:23.0121458Z     x = self.layer1(x)
2025-10-10T00:47:23.0121787Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:47:23.0122156Z     out = self.bn2(self.conv2(out))
2025-10-10T00:47:23.0122291Z 
2025-10-10T00:47:23.0122401Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0122776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0123114Z     return mod(*inputs)
2025-10-10T00:47:23.0123450Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-10-10T00:47:23.0123805Z     x = self.layer1(x)
2025-10-10T00:47:23.0124137Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-10-10T00:47:23.0124492Z     out = F.relu(out)
2025-10-10T00:47:23.0124601Z 
2025-10-10T00:47:23.0124716Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0125086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0125416Z     return mod(*inputs)
2025-10-10T00:47:23.0125752Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:47:23.0126107Z     x = self.layer2(x)
2025-10-10T00:47:23.0126433Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0126795Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0126962Z 
2025-10-10T00:47:23.0127068Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0127443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0127785Z     return mod(*inputs)
2025-10-10T00:47:23.0128122Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:47:23.0128514Z     x = self.layer2(x)
2025-10-10T00:47:23.0128845Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0129214Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0129354Z 
2025-10-10T00:47:23.0129466Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0129826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0130160Z     return mod(*inputs)
2025-10-10T00:47:23.0130493Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:47:23.0130881Z     x = self.layer2(x)
2025-10-10T00:47:23.0131211Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:47:23.0131583Z     out = self.bn2(self.conv2(out))
2025-10-10T00:47:23.0131729Z 
2025-10-10T00:47:23.0131835Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0132203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0132537Z     return mod(*inputs)
2025-10-10T00:47:23.0132906Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:47:23.0133266Z     x = self.layer2(x)
2025-10-10T00:47:23.0133598Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-10-10T00:47:23.0133970Z     out += self.shortcut(x)
2025-10-10T00:47:23.0134091Z 
2025-10-10T00:47:23.0134207Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0134582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0134915Z     return mod(*inputs)
2025-10-10T00:47:23.0135252Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:47:23.0135627Z     x = self.layer2(x)
2025-10-10T00:47:23.0135956Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0136326Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0136468Z 
2025-10-10T00:47:23.0136567Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0136921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0137238Z     return mod(*inputs)
2025-10-10T00:47:23.0137558Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:47:23.0137893Z     x = self.layer2(x)
2025-10-10T00:47:23.0138210Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0138558Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0138688Z 
2025-10-10T00:47:23.0138798Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0139140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0139458Z     return mod(*inputs)
2025-10-10T00:47:23.0139777Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:47:23.0140132Z     x = self.layer2(x)
2025-10-10T00:47:23.0140459Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:47:23.0140829Z     out = self.bn2(self.conv2(out))
2025-10-10T00:47:23.0140968Z 
2025-10-10T00:47:23.0141073Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0141441Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0141760Z     return mod(*inputs)
2025-10-10T00:47:23.0142069Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-10-10T00:47:23.0142453Z     x = self.layer2(x)
2025-10-10T00:47:23.0142763Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-10-10T00:47:23.0143097Z     out = F.relu(out)
2025-10-10T00:47:23.0143194Z 
2025-10-10T00:47:23.0143304Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0143646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0143965Z     return mod(*inputs)
2025-10-10T00:47:23.0144297Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:47:23.0144672Z     x = self.layer3(x)
2025-10-10T00:47:23.0145052Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0145424Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0145575Z 
2025-10-10T00:47:23.0145682Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0146062Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0146534Z     return mod(*inputs)
2025-10-10T00:47:23.0146934Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:47:23.0147296Z     x = self.layer3(x)
2025-10-10T00:47:23.0147626Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0147994Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0148134Z 
2025-10-10T00:47:23.0148243Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0148622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0148961Z     return mod(*inputs)
2025-10-10T00:47:23.0149297Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:47:23.0149657Z     x = self.layer3(x)
2025-10-10T00:47:23.0149979Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:47:23.0150343Z     out = self.bn2(self.conv2(out))
2025-10-10T00:47:23.0150476Z 
2025-10-10T00:47:23.0150639Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0151008Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0151345Z     return mod(*inputs)
2025-10-10T00:47:23.0151672Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:47:23.0152030Z     x = self.layer3(x)
2025-10-10T00:47:23.0152367Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-10-10T00:47:23.0152730Z     out += self.shortcut(x)
2025-10-10T00:47:23.0152851Z 
2025-10-10T00:47:23.0152969Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0153342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0153681Z     return mod(*inputs)
2025-10-10T00:47:23.0154017Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:47:23.0154585Z     x = self.layer3(x)
2025-10-10T00:47:23.0154914Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0155299Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0155449Z 
2025-10-10T00:47:23.0155557Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0155931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0156273Z     return mod(*inputs)
2025-10-10T00:47:23.0156603Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:47:23.0156972Z     x = self.layer3(x)
2025-10-10T00:47:23.0157384Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0157763Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0157899Z 
2025-10-10T00:47:23.0158005Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0158373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0158714Z     return mod(*inputs)
2025-10-10T00:47:23.0159052Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:47:23.0159422Z     x = self.layer3(x)
2025-10-10T00:47:23.0159778Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:47:23.0160147Z     out = self.bn2(self.conv2(out))
2025-10-10T00:47:23.0160290Z 
2025-10-10T00:47:23.0160398Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0160770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0161106Z     return mod(*inputs)
2025-10-10T00:47:23.0161441Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-10-10T00:47:23.0161806Z     x = self.layer3(x)
2025-10-10T00:47:23.0162136Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-10-10T00:47:23.0162504Z     out = F.relu(out)
2025-10-10T00:47:23.0162607Z 
2025-10-10T00:47:23.0162713Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0163097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0163506Z     return mod(*inputs)
2025-10-10T00:47:23.0163844Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:47:23.0164200Z     x = self.layer4(x)
2025-10-10T00:47:23.0164540Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0164918Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0165057Z 
2025-10-10T00:47:23.0165171Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0165549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0165899Z     return mod(*inputs)
2025-10-10T00:47:23.0166218Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:47:23.0166556Z     x = self.layer4(x)
2025-10-10T00:47:23.0166871Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0167215Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0167356Z 
2025-10-10T00:47:23.0167458Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0167810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0168134Z     return mod(*inputs)
2025-10-10T00:47:23.0168454Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:47:23.0168786Z     x = self.layer4(x)
2025-10-10T00:47:23.0169098Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:47:23.0169442Z     out = self.bn2(self.conv2(out))
2025-10-10T00:47:23.0169567Z 
2025-10-10T00:47:23.0169673Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0170016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0170336Z     return mod(*inputs)
2025-10-10T00:47:23.0170653Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:47:23.0170993Z     x = self.layer4(x)
2025-10-10T00:47:23.0171305Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-10-10T00:47:23.0171683Z     out += self.shortcut(x)
2025-10-10T00:47:23.0171805Z 
2025-10-10T00:47:23.0171905Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0172261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0172582Z     return mod(*inputs)
2025-10-10T00:47:23.0172892Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:47:23.0173263Z     x = self.layer4(x)
2025-10-10T00:47:23.0173603Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0173992Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0174124Z 
2025-10-10T00:47:23.0174232Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0174575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0174902Z     return mod(*inputs)
2025-10-10T00:47:23.0175218Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:47:23.0175562Z     x = self.layer4(x)
2025-10-10T00:47:23.0175869Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-10-10T00:47:23.0176250Z     out = F.relu(self.bn1(self.conv1(x)))
2025-10-10T00:47:23.0176396Z 
2025-10-10T00:47:23.0176503Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0176875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0177213Z     return mod(*inputs)
2025-10-10T00:47:23.0177541Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:47:23.0177897Z     x = self.layer4(x)
2025-10-10T00:47:23.0178227Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-10-10T00:47:23.0178604Z     out = self.bn2(self.conv2(out))
2025-10-10T00:47:23.0178730Z 
2025-10-10T00:47:23.0178832Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0179186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0179502Z     return mod(*inputs)
2025-10-10T00:47:23.0179824Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-10-10T00:47:23.0180193Z     x = self.layer4(x)
2025-10-10T00:47:23.0180517Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-10-10T00:47:23.0180874Z     out = F.relu(out)
2025-10-10T00:47:23.0180977Z 
2025-10-10T00:47:23.0181093Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0181467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0181798Z     return mod(*inputs)
2025-10-10T00:47:23.0182140Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward
2025-10-10T00:47:23.0182516Z     x = F.avg_pool2d(x, 4)
2025-10-10T00:47:23.0182634Z 
2025-10-10T00:47:23.0182748Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0183118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0183449Z     return mod(*inputs)
2025-10-10T00:47:23.0183789Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward
2025-10-10T00:47:23.0184162Z     x = self.fc(x)
2025-10-10T00:47:23.0184263Z 
2025-10-10T00:47:23.0184378Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:23.0184757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:47:23.0185105Z     return mod(*inputs)
2025-10-10T00:47:23.0185451Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward
2025-10-10T00:47:23.0185867Z     x = torch.sigmoid(x)
2025-10-10T00:47:23.0185987Z 
2025-10-10T00:47:33.0084484Z Compilation time (from dynamo_timed): 13.396355797
2025-10-10T00:47:33.0084804Z pass
2025-10-10T00:47:33.0085128Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:33.0085987Z TIMING: _recursive_pre_grad_passes:0.00499 _recursive_joint_graph_passes:0.14736 _recursive_post_grad_passes:0.04385 async_compile.wait:0.86669 code_gen:9.75465 inductor_compile:10.36679 backend_compile:11.91545 gc:0.00107 entire_frame_compile:13.39636 total_wall_time:13.39636
2025-10-10T00:47:33.0087254Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:2936 | FakeTensor.__torch_dispatch__:2118 | ProxyTorchDispatchMode.__torch_dispatch__:1128
2025-10-10T00:47:33.0087793Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-10-10T00:47:35.0775927Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:47:35.0777320Z   import pynvml  # type: ignore[import]
2025-10-10T00:47:37.2823059Z 
2025-10-10T00:47:38.2357651Z 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
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2025-10-10T00:47:41.3166753Z 
2025-10-10T00:47:41.3167245Z loading model: 0it [00:04, ?it/s]
2025-10-10T00:47:41.3176769Z cpu  eval  Super_SloMo                        
2025-10-10T00:48:07.4660273Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:08.9459172Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:10.4441434Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:20.8100555Z cudagraph partition due to non gpu ops
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2025-10-10T00:48:20.8113340Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8113600Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8113892Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8114345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8114721Z     return mod(*inputs)
2025-10-10T00:48:20.8115134Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8115658Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8115851Z 
2025-10-10T00:48:20.8115945Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8116223Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8116624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8116991Z     return mod(*inputs)
2025-10-10T00:48:20.8117303Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8117694Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8118063Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-10-10T00:48:20.8118581Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8118746Z 
2025-10-10T00:48:20.8118870Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8119273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8119635Z     return mod(*inputs)
2025-10-10T00:48:20.8119964Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8120349Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8120706Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-10-10T00:48:20.8121163Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8121333Z 
2025-10-10T00:48:20.8121445Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8121830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8122204Z     return mod(*inputs)
2025-10-10T00:48:20.8122504Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8122879Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8123234Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-10-10T00:48:20.8123613Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8123779Z 
2025-10-10T00:48:20.8123892Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8124279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8124697Z     return mod(*inputs)
2025-10-10T00:48:20.8125011Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8125389Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8125745Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:48:20.8126090Z     s2 = self.down1(s1)
2025-10-10T00:48:20.8126393Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:48:20.8126729Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:48:20.8126851Z 
2025-10-10T00:48:20.8126963Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8127362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8127719Z     return mod(*inputs)
2025-10-10T00:48:20.8128029Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8128398Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8128750Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:48:20.8129079Z     s2 = self.down1(s1)
2025-10-10T00:48:20.8129404Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8129766Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8129927Z 
2025-10-10T00:48:20.8130037Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8130444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8130802Z     return mod(*inputs)
2025-10-10T00:48:20.8131112Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8131485Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8131841Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:48:20.8132179Z     s2 = self.down1(s1)
2025-10-10T00:48:20.8132585Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8132955Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8133169Z 
2025-10-10T00:48:20.8133279Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8133676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8134038Z     return mod(*inputs)
2025-10-10T00:48:20.8134348Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8134712Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8135064Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:48:20.8135405Z     s2 = self.down1(s1)
2025-10-10T00:48:20.8135808Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8136170Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8136326Z 
2025-10-10T00:48:20.8136436Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8136833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8137189Z     return mod(*inputs)
2025-10-10T00:48:20.8137492Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8137854Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8138204Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:48:20.8138537Z     s3 = self.down2(s2)
2025-10-10T00:48:20.8138843Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:48:20.8139168Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:48:20.8139285Z 
2025-10-10T00:48:20.8139394Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8139776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8140122Z     return mod(*inputs)
2025-10-10T00:48:20.8140431Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8140785Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8141144Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:48:20.8141473Z     s3 = self.down2(s2)
2025-10-10T00:48:20.8141771Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8142128Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8142288Z 
2025-10-10T00:48:20.8142398Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8142790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8143144Z     return mod(*inputs)
2025-10-10T00:48:20.8143456Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8143817Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8144175Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:48:20.8144508Z     s3 = self.down2(s2)
2025-10-10T00:48:20.8144841Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8145208Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8145371Z 
2025-10-10T00:48:20.8145644Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8146030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8146380Z     return mod(*inputs)
2025-10-10T00:48:20.8146789Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8147165Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8147520Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:48:20.8147912Z     s3 = self.down2(s2)
2025-10-10T00:48:20.8148228Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8148576Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8148733Z 
2025-10-10T00:48:20.8148843Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8149216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8149552Z     return mod(*inputs)
2025-10-10T00:48:20.8149853Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8150206Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8150579Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:48:20.8150901Z     s4 = self.down3(s3)
2025-10-10T00:48:20.8151196Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:48:20.8151524Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:48:20.8151643Z 
2025-10-10T00:48:20.8151749Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8152129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8152542Z     return mod(*inputs)
2025-10-10T00:48:20.8152939Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8153511Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8153934Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:48:20.8154329Z     s4 = self.down3(s3)
2025-10-10T00:48:20.8154764Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8155171Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8155402Z 
2025-10-10T00:48:20.8155524Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8156017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8156485Z     return mod(*inputs)
2025-10-10T00:48:20.8156948Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8157362Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8157819Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:48:20.8158242Z     s4 = self.down3(s3)
2025-10-10T00:48:20.8158634Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8159091Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8159277Z 
2025-10-10T00:48:20.8159413Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8159887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8160340Z     return mod(*inputs)
2025-10-10T00:48:20.8188877Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8189601Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8190085Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:48:20.8190451Z     s4 = self.down3(s3)
2025-10-10T00:48:20.8190771Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8191352Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8191526Z 
2025-10-10T00:48:20.8191678Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8192083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8192443Z     return mod(*inputs)
2025-10-10T00:48:20.8192844Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8193444Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8193816Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:48:20.8194167Z     s5 = self.down4(s4)
2025-10-10T00:48:20.8194506Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:48:20.8194878Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:48:20.8195003Z 
2025-10-10T00:48:20.8195130Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8195511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8195942Z     return mod(*inputs)
2025-10-10T00:48:20.8196267Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8196640Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8197011Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:48:20.8197335Z     s5 = self.down4(s4)
2025-10-10T00:48:20.8197640Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8198006Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8198169Z 
2025-10-10T00:48:20.8198294Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8198669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8199023Z     return mod(*inputs)
2025-10-10T00:48:20.8199340Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8199712Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8200070Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:48:20.8200393Z     s5 = self.down4(s4)
2025-10-10T00:48:20.8200701Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8201057Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8201220Z 
2025-10-10T00:48:20.8201340Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8201718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8202066Z     return mod(*inputs)
2025-10-10T00:48:20.8202377Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8202743Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8203102Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:48:20.8203425Z     s5 = self.down4(s4)
2025-10-10T00:48:20.8203717Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8204076Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8204236Z 
2025-10-10T00:48:20.8204356Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8204780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8205164Z     return mod(*inputs)
2025-10-10T00:48:20.8205604Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8212995Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8213430Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:48:20.8213776Z     x = self.down5(s5)
2025-10-10T00:48:20.8235066Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:48:20.8235454Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:48:20.8235586Z 
2025-10-10T00:48:20.8235718Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8236301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8236706Z     return mod(*inputs)
2025-10-10T00:48:20.8237023Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8237436Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8237794Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:48:20.8238125Z     x = self.down5(s5)
2025-10-10T00:48:20.8238418Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8238784Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8238997Z 
2025-10-10T00:48:20.8239118Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8239502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8239860Z     return mod(*inputs)
2025-10-10T00:48:20.8240159Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8240516Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8240866Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:48:20.8241189Z     x = self.down5(s5)
2025-10-10T00:48:20.8241473Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8241807Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8241962Z 
2025-10-10T00:48:20.8242070Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8242446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8242791Z     return mod(*inputs)
2025-10-10T00:48:20.8243077Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8243502Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8243841Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:48:20.8244148Z     x = self.down5(s5)
2025-10-10T00:48:20.8244429Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8244762Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8244919Z 
2025-10-10T00:48:20.8245022Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8245397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8245736Z     return mod(*inputs)
2025-10-10T00:48:20.8246025Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8246367Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8246702Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:48:20.8247015Z     x = self.up1(x, s5)
2025-10-10T00:48:20.8247295Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8247632Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8247785Z 
2025-10-10T00:48:20.8247887Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8248248Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8248571Z     return mod(*inputs)
2025-10-10T00:48:20.8248855Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8249200Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8249536Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:48:20.8249842Z     x = self.up1(x, s5)
2025-10-10T00:48:20.8250187Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8250521Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8250675Z 
2025-10-10T00:48:20.8250779Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8251140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8251465Z     return mod(*inputs)
2025-10-10T00:48:20.8251750Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8252100Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8252490Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:48:20.8252806Z     s5 = self.down4(s4)
2025-10-10T00:48:20.8253102Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8253449Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8253609Z 
2025-10-10T00:48:20.8253726Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8254099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8254428Z     return mod(*inputs)
2025-10-10T00:48:20.8254723Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8255079Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8255423Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:48:20.8255737Z     x = self.up1(x, s5)
2025-10-10T00:48:20.8256035Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8256434Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8256642Z 
2025-10-10T00:48:20.8256739Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8256998Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8257370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8257713Z     return mod(*inputs)
2025-10-10T00:48:20.8258012Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8258370Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8258704Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:48:20.8259007Z     x = self.up1(x, s5)
2025-10-10T00:48:20.8259281Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8259710Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8259904Z 
2025-10-10T00:48:20.8260017Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8260374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8260697Z     return mod(*inputs)
2025-10-10T00:48:20.8260978Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8261318Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8261646Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:48:20.8261945Z     x = self.up2(x, s4)
2025-10-10T00:48:20.8262210Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8262534Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8262686Z 
2025-10-10T00:48:20.8262792Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8263164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8263502Z     return mod(*inputs)
2025-10-10T00:48:20.8263841Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8264203Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8264557Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:48:20.8264878Z     x = self.up2(x, s4)
2025-10-10T00:48:20.8265170Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8265523Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8265688Z 
2025-10-10T00:48:20.8265799Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8266221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8266758Z     return mod(*inputs)
2025-10-10T00:48:20.8267051Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8267414Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8267762Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:48:20.8268083Z     s4 = self.down3(s3)
2025-10-10T00:48:20.8268370Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8268722Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8268884Z 
2025-10-10T00:48:20.8268994Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8269367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8269715Z     return mod(*inputs)
2025-10-10T00:48:20.8270008Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8270363Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8270708Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:48:20.8271030Z     x = self.up2(x, s4)
2025-10-10T00:48:20.8271311Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8271705Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8271913Z 
2025-10-10T00:48:20.8272003Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8272253Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8272624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8272954Z     return mod(*inputs)
2025-10-10T00:48:20.8273255Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8273613Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8273960Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:48:20.8274272Z     x = self.up2(x, s4)
2025-10-10T00:48:20.8274565Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8274955Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8275152Z 
2025-10-10T00:48:20.8275268Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8275640Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8275973Z     return mod(*inputs)
2025-10-10T00:48:20.8276268Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8276625Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8276972Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:48:20.8277287Z     x = self.up3(x, s3)
2025-10-10T00:48:20.8277577Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8277970Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8278124Z 
2025-10-10T00:48:20.8278238Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8278611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8278943Z     return mod(*inputs)
2025-10-10T00:48:20.8279237Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8279593Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8279937Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:48:20.8280322Z     x = self.up3(x, s3)
2025-10-10T00:48:20.8280611Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8280956Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8281115Z 
2025-10-10T00:48:20.8281230Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8281783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8282134Z     return mod(*inputs)
2025-10-10T00:48:20.8282433Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8282790Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8283137Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:48:20.8283448Z     s3 = self.down2(s2)
2025-10-10T00:48:20.8283741Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8284094Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8284247Z 
2025-10-10T00:48:20.8284364Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8284747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8285094Z     return mod(*inputs)
2025-10-10T00:48:20.8285388Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8285743Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8286086Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:48:20.8286398Z     x = self.up3(x, s3)
2025-10-10T00:48:20.8286689Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8287078Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8287278Z 
2025-10-10T00:48:20.8287375Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8287622Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8288007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8288364Z     return mod(*inputs)
2025-10-10T00:48:20.8288666Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8289019Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8289356Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:48:20.8289675Z     x = self.up3(x, s3)
2025-10-10T00:48:20.8289965Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8290354Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8290553Z 
2025-10-10T00:48:20.8290668Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8291223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8291575Z     return mod(*inputs)
2025-10-10T00:48:20.8291878Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8293390Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8293725Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:48:20.8294044Z     x = self.up4(x, s2)
2025-10-10T00:48:20.8294334Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8294679Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8294836Z 
2025-10-10T00:48:20.8294950Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8295319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8295723Z     return mod(*inputs)
2025-10-10T00:48:20.8296022Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8296372Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8296713Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:48:20.8297031Z     x = self.up4(x, s2)
2025-10-10T00:48:20.8297321Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8297667Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8297821Z 
2025-10-10T00:48:20.8297936Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8298305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8298649Z     return mod(*inputs)
2025-10-10T00:48:20.8298954Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8299310Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8299651Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:48:20.8299956Z     s2 = self.down1(s1)
2025-10-10T00:48:20.8300234Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8300560Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8300706Z 
2025-10-10T00:48:20.8300806Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8301158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8301478Z     return mod(*inputs)
2025-10-10T00:48:20.8301763Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8302098Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8302437Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:48:20.8302755Z     x = self.up4(x, s2)
2025-10-10T00:48:20.8303044Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8303436Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8303635Z 
2025-10-10T00:48:20.8303729Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8303972Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8304345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8304683Z     return mod(*inputs)
2025-10-10T00:48:20.8304985Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8305315Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8305642Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:48:20.8305944Z     x = self.up4(x, s2)
2025-10-10T00:48:20.8306232Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8306707Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8306992Z 
2025-10-10T00:48:20.8307103Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8307492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8307845Z     return mod(*inputs)
2025-10-10T00:48:20.8308158Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8308504Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8308852Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:48:20.8309169Z     x = self.up5(x, s1)
2025-10-10T00:48:20.8309499Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8309840Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8310002Z 
2025-10-10T00:48:20.8310108Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8310483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8310818Z     return mod(*inputs)
2025-10-10T00:48:20.8311112Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8311457Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8311780Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:48:20.8312080Z     x = self.up5(x, s1)
2025-10-10T00:48:20.8312353Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8312671Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8312828Z 
2025-10-10T00:48:20.8312930Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8313282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8313609Z     return mod(*inputs)
2025-10-10T00:48:20.8313883Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8314225Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8314552Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-10-10T00:48:20.8314891Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8315042Z 
2025-10-10T00:48:20.8315151Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8315493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8315814Z     return mod(*inputs)
2025-10-10T00:48:20.8316099Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8316433Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8316754Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:48:20.8317063Z     x = self.up5(x, s1)
2025-10-10T00:48:20.8317339Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8317708Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8317896Z 
2025-10-10T00:48:20.8317986Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8318216Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8318569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8318888Z     return mod(*inputs)
2025-10-10T00:48:20.8319169Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8319497Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8319822Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:48:20.8320162Z     x = self.up5(x, s1)
2025-10-10T00:48:20.8320439Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8320806Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8320995Z 
2025-10-10T00:48:20.8321097Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8321447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8321767Z     return mod(*inputs)
2025-10-10T00:48:20.8322047Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8322376Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8322742Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:48:20.8323047Z     x = self.up5(x, s1)
2025-10-10T00:48:20.8323324Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8323699Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8323900Z 
2025-10-10T00:48:20.8324008Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8324385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8324741Z     return mod(*inputs)
2025-10-10T00:48:20.8325040Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-10-10T00:48:20.8325401Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-10-10T00:48:20.8325750Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-10-10T00:48:20.8326102Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-10-10T00:48:20.8326259Z 
2025-10-10T00:48:20.8326375Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8326766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8327138Z     return mod(*inputs)
2025-10-10T00:48:20.8327439Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 45, in forward
2025-10-10T00:48:20.8327812Z     g_I1_F_t_1 = self.trainFlowBackWarp(I1, F_t_1)
2025-10-10T00:48:20.8328187Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:48:20.8328543Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:48:20.8328680Z 
2025-10-10T00:48:20.8328787Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8329185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8329542Z     return mod(*inputs)
2025-10-10T00:48:20.8329840Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 44, in forward
2025-10-10T00:48:20.8330203Z     g_I0_F_t_0 = self.trainFlowBackWarp(I0, F_t_0)
2025-10-10T00:48:20.8330555Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:48:20.8330919Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:48:20.8331056Z 
2025-10-10T00:48:20.8331150Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8331372Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8331596Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8331814Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8332062Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8332461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8332819Z     return mod(*inputs)
2025-10-10T00:48:20.8333125Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward
2025-10-10T00:48:20.8333452Z     torch.cat(
2025-10-10T00:48:20.8333548Z 
2025-10-10T00:48:20.8333663Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8334074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8334411Z     return mod(*inputs)
2025-10-10T00:48:20.8334712Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8335057Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8335380Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-10-10T00:48:20.8335730Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8335898Z 
2025-10-10T00:48:20.8336001Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8336413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8336754Z     return mod(*inputs)
2025-10-10T00:48:20.8337043Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8337394Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8337731Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-10-10T00:48:20.8338082Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8338238Z 
2025-10-10T00:48:20.8338354Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8338721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8339061Z     return mod(*inputs)
2025-10-10T00:48:20.8339363Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8339704Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8340032Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-10-10T00:48:20.8340396Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8340565Z 
2025-10-10T00:48:20.8340673Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8341053Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8341394Z     return mod(*inputs)
2025-10-10T00:48:20.8341685Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8342025Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8342353Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:48:20.8342675Z     s2 = self.down1(s1)
2025-10-10T00:48:20.8342963Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:48:20.8343290Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:48:20.8343415Z 
2025-10-10T00:48:20.8343524Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8343910Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8344252Z     return mod(*inputs)
2025-10-10T00:48:20.8344554Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8344892Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8345219Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:48:20.8345546Z     s2 = self.down1(s1)
2025-10-10T00:48:20.8345833Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8346181Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8346343Z 
2025-10-10T00:48:20.8346541Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8346936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8347271Z     return mod(*inputs)
2025-10-10T00:48:20.8347580Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8347934Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8348299Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:48:20.8348605Z     s2 = self.down1(s1)
2025-10-10T00:48:20.8348878Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8349211Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8349368Z 
2025-10-10T00:48:20.8349485Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8349844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8350168Z     return mod(*inputs)
2025-10-10T00:48:20.8350499Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8350822Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8351130Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:48:20.8351439Z     s2 = self.down1(s1)
2025-10-10T00:48:20.8351715Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8352034Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8352193Z 
2025-10-10T00:48:20.8352294Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8352650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8352993Z     return mod(*inputs)
2025-10-10T00:48:20.8353285Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8353626Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8353958Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:48:20.8354282Z     s3 = self.down2(s2)
2025-10-10T00:48:20.8354563Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:48:20.8354870Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:48:20.8354989Z 
2025-10-10T00:48:20.8355090Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8355441Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8355757Z     return mod(*inputs)
2025-10-10T00:48:20.8356028Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8356347Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8356657Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:48:20.8356974Z     s3 = self.down2(s2)
2025-10-10T00:48:20.8357272Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8357598Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8357752Z 
2025-10-10T00:48:20.8357854Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8358208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8358523Z     return mod(*inputs)
2025-10-10T00:48:20.8358797Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8359112Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8359421Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:48:20.8359722Z     s3 = self.down2(s2)
2025-10-10T00:48:20.8359989Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8360319Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8360473Z 
2025-10-10T00:48:20.8360577Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8360937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8361254Z     return mod(*inputs)
2025-10-10T00:48:20.8361565Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8361885Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8362192Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:48:20.8362496Z     s3 = self.down2(s2)
2025-10-10T00:48:20.8362766Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8363094Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8363249Z 
2025-10-10T00:48:20.8363352Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8363744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8364071Z     return mod(*inputs)
2025-10-10T00:48:20.8364345Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8364669Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8364986Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:48:20.8365295Z     s4 = self.down3(s3)
2025-10-10T00:48:20.8365569Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:48:20.8365879Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:48:20.8366000Z 
2025-10-10T00:48:20.8366103Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8366462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8366787Z     return mod(*inputs)
2025-10-10T00:48:20.8367067Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8367393Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8367705Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:48:20.8368009Z     s4 = self.down3(s3)
2025-10-10T00:48:20.8368281Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8368612Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8368765Z 
2025-10-10T00:48:20.8368868Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8369225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8369551Z     return mod(*inputs)
2025-10-10T00:48:20.8369828Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8370148Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8370464Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:48:20.8370767Z     s4 = self.down3(s3)
2025-10-10T00:48:20.8371036Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8371371Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8371529Z 
2025-10-10T00:48:20.8371631Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8371990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8372312Z     return mod(*inputs)
2025-10-10T00:48:20.8372597Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8372921Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8373234Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:48:20.8373540Z     s4 = self.down3(s3)
2025-10-10T00:48:20.8373813Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8374146Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8374303Z 
2025-10-10T00:48:20.8374406Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8374802Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8375118Z     return mod(*inputs)
2025-10-10T00:48:20.8375401Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8375726Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8376044Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:48:20.8376375Z     s5 = self.down4(s4)
2025-10-10T00:48:20.8376661Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:48:20.8376984Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:48:20.8377101Z 
2025-10-10T00:48:20.8377255Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8377639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8377983Z     return mod(*inputs)
2025-10-10T00:48:20.8378287Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8378637Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8378965Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:48:20.8379294Z     s5 = self.down4(s4)
2025-10-10T00:48:20.8379581Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8379936Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8380092Z 
2025-10-10T00:48:20.8380209Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8380594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8380936Z     return mod(*inputs)
2025-10-10T00:48:20.8381235Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8381584Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8381914Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:48:20.8382233Z     s5 = self.down4(s4)
2025-10-10T00:48:20.8382525Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8382924Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8383079Z 
2025-10-10T00:48:20.8383193Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8383573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8383916Z     return mod(*inputs)
2025-10-10T00:48:20.8384212Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8384550Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8384884Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:48:20.8385203Z     s5 = self.down4(s4)
2025-10-10T00:48:20.8385505Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8385858Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8386018Z 
2025-10-10T00:48:20.8386138Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8386622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8386982Z     return mod(*inputs)
2025-10-10T00:48:20.8387292Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8387642Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8387990Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:48:20.8388307Z     x = self.down5(s5)
2025-10-10T00:48:20.8388608Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-10-10T00:48:20.8388986Z     x = F.avg_pool2d(x, 2)
2025-10-10T00:48:20.8389103Z 
2025-10-10T00:48:20.8389226Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8389615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8389956Z     return mod(*inputs)
2025-10-10T00:48:20.8390256Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8390598Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8391226Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:48:20.8391559Z     x = self.down5(s5)
2025-10-10T00:48:20.8391944Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8392292Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8392450Z 
2025-10-10T00:48:20.8392567Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8392963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8393305Z     return mod(*inputs)
2025-10-10T00:48:20.8393607Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8393950Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8394280Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:48:20.8394591Z     x = self.down5(s5)
2025-10-10T00:48:20.8394888Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-10-10T00:48:20.8395234Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8395388Z 
2025-10-10T00:48:20.8395506Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8395884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8396214Z     return mod(*inputs)
2025-10-10T00:48:20.8396520Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8396861Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8397189Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-10-10T00:48:20.8397507Z     x = self.down5(s5)
2025-10-10T00:48:20.8397801Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8398149Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8398306Z 
2025-10-10T00:48:20.8398417Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8398794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8399124Z     return mod(*inputs)
2025-10-10T00:48:20.8399429Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8399764Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8400099Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:48:20.8400413Z     x = self.up1(x, s5)
2025-10-10T00:48:20.8400708Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8401050Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8401204Z 
2025-10-10T00:48:20.8401317Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8401693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8402032Z     return mod(*inputs)
2025-10-10T00:48:20.8402330Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8402669Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8402997Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:48:20.8403308Z     x = self.up1(x, s5)
2025-10-10T00:48:20.8403673Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8404025Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8404181Z 
2025-10-10T00:48:20.8404294Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8404663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8405005Z     return mod(*inputs)
2025-10-10T00:48:20.8405306Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8405645Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8406029Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-10-10T00:48:20.8406347Z     s5 = self.down4(s4)
2025-10-10T00:48:20.8406645Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8406999Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8407158Z 
2025-10-10T00:48:20.8407273Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8407642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8407993Z     return mod(*inputs)
2025-10-10T00:48:20.8408305Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8408633Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8408942Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:48:20.8409237Z     x = self.up1(x, s5)
2025-10-10T00:48:20.8409520Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8409898Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8410091Z 
2025-10-10T00:48:20.8410180Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8410418Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8410777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8411099Z     return mod(*inputs)
2025-10-10T00:48:20.8411385Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8411707Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8412011Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-10-10T00:48:20.8412317Z     x = self.up1(x, s5)
2025-10-10T00:48:20.8412598Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8412975Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8413169Z 
2025-10-10T00:48:20.8413270Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8413623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8413956Z     return mod(*inputs)
2025-10-10T00:48:20.8414239Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8414574Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8414906Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:48:20.8415231Z     x = self.up2(x, s4)
2025-10-10T00:48:20.8415534Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8415890Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8416046Z 
2025-10-10T00:48:20.8416155Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8416528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8416864Z     return mod(*inputs)
2025-10-10T00:48:20.8417202Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8417529Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8417840Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:48:20.8418147Z     x = self.up2(x, s4)
2025-10-10T00:48:20.8418431Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8418766Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8418920Z 
2025-10-10T00:48:20.8419027Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8419389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8419755Z     return mod(*inputs)
2025-10-10T00:48:20.8420044Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8420358Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8420670Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-10-10T00:48:20.8420974Z     s4 = self.down3(s3)
2025-10-10T00:48:20.8421256Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8421586Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8421736Z 
2025-10-10T00:48:20.8421838Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8422194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8422529Z     return mod(*inputs)
2025-10-10T00:48:20.8422829Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8423159Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8423486Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:48:20.8423805Z     x = self.up2(x, s4)
2025-10-10T00:48:20.8424105Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8424501Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8424701Z 
2025-10-10T00:48:20.8424789Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8425041Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8425421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8425758Z     return mod(*inputs)
2025-10-10T00:48:20.8426053Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8426390Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8426813Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-10-10T00:48:20.8427154Z     x = self.up2(x, s4)
2025-10-10T00:48:20.8427458Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8427863Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8428079Z 
2025-10-10T00:48:20.8428200Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8428574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8428926Z     return mod(*inputs)
2025-10-10T00:48:20.8429224Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8429573Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8429918Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:48:20.8430250Z     x = self.up3(x, s3)
2025-10-10T00:48:20.8430551Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8430904Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8431134Z 
2025-10-10T00:48:20.8431243Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8431629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8431978Z     return mod(*inputs)
2025-10-10T00:48:20.8432272Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8432610Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8432937Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:48:20.8433257Z     x = self.up3(x, s3)
2025-10-10T00:48:20.8433549Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8433924Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8434091Z 
2025-10-10T00:48:20.8434198Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8434585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8434952Z     return mod(*inputs)
2025-10-10T00:48:20.8435244Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8435580Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8435904Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-10-10T00:48:20.8436227Z     s3 = self.down2(s2)
2025-10-10T00:48:20.8436521Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8436868Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8437028Z 
2025-10-10T00:48:20.8437139Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8437515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8437849Z     return mod(*inputs)
2025-10-10T00:48:20.8438136Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8438477Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8438801Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:48:20.8439116Z     x = self.up3(x, s3)
2025-10-10T00:48:20.8439397Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8439786Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8439991Z 
2025-10-10T00:48:20.8440076Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8440325Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8440698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8441035Z     return mod(*inputs)
2025-10-10T00:48:20.8441337Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8441676Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8442004Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-10-10T00:48:20.8442313Z     x = self.up3(x, s3)
2025-10-10T00:48:20.8442603Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8442995Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8443195Z 
2025-10-10T00:48:20.8443309Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8443685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8444016Z     return mod(*inputs)
2025-10-10T00:48:20.8444313Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8444653Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8444977Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:48:20.8445329Z     x = self.up4(x, s2)
2025-10-10T00:48:20.8445623Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8445967Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8446126Z 
2025-10-10T00:48:20.8446244Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8446614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8446947Z     return mod(*inputs)
2025-10-10T00:48:20.8447243Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8447623Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8447953Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:48:20.8448267Z     x = self.up4(x, s2)
2025-10-10T00:48:20.8448561Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8448910Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8449067Z 
2025-10-10T00:48:20.8449183Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8449569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8449919Z     return mod(*inputs)
2025-10-10T00:48:20.8450219Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8450566Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8450915Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-10-10T00:48:20.8451231Z     s2 = self.down1(s1)
2025-10-10T00:48:20.8451527Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-10-10T00:48:20.8451876Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8452034Z 
2025-10-10T00:48:20.8452148Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8452536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8452880Z     return mod(*inputs)
2025-10-10T00:48:20.8453183Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8453524Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8453849Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:48:20.8454159Z     x = self.up4(x, s2)
2025-10-10T00:48:20.8454450Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8454858Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8455066Z 
2025-10-10T00:48:20.8455161Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8455420Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8455814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8456170Z     return mod(*inputs)
2025-10-10T00:48:20.8456491Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8456830Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8457154Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-10-10T00:48:20.8457482Z     x = self.up4(x, s2)
2025-10-10T00:48:20.8457784Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8458193Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8458397Z 
2025-10-10T00:48:20.8458515Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8458894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8459309Z     return mod(*inputs)
2025-10-10T00:48:20.8459618Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8459968Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8460296Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:48:20.8460621Z     x = self.up5(x, s1)
2025-10-10T00:48:20.8460920Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8461277Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8461438Z 
2025-10-10T00:48:20.8461557Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8461976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8462326Z     return mod(*inputs)
2025-10-10T00:48:20.8462630Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8462980Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8463308Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:48:20.8463634Z     x = self.up5(x, s1)
2025-10-10T00:48:20.8463933Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-10-10T00:48:20.8464291Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-10-10T00:48:20.8464452Z 
2025-10-10T00:48:20.8464571Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8464946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8465317Z     return mod(*inputs)
2025-10-10T00:48:20.8465631Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8465977Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8466303Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-10-10T00:48:20.8466782Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-10-10T00:48:20.8466959Z 
2025-10-10T00:48:20.8467071Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8467459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8467811Z     return mod(*inputs)
2025-10-10T00:48:20.8468118Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8468467Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8468807Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:48:20.8469151Z     x = self.up5(x, s1)
2025-10-10T00:48:20.8469446Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8469850Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8470066Z 
2025-10-10T00:48:20.8470153Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8470519Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8470927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8471265Z     return mod(*inputs)
2025-10-10T00:48:20.8471580Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8471918Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8472242Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:48:20.8472552Z     x = self.up5(x, s1)
2025-10-10T00:48:20.8472844Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8473238Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8473436Z 
2025-10-10T00:48:20.8473552Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8473975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8474307Z     return mod(*inputs)
2025-10-10T00:48:20.8474615Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8474959Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8475293Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-10-10T00:48:20.8475613Z     x = self.up5(x, s1)
2025-10-10T00:48:20.8475922Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-10-10T00:48:20.8476342Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-10-10T00:48:20.8476544Z 
2025-10-10T00:48:20.8476658Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8477038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8477374Z     return mod(*inputs)
2025-10-10T00:48:20.8477677Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-10-10T00:48:20.8478017Z     intrpOut = self.ArbTimeFlowIntrp(
2025-10-10T00:48:20.8478344Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-10-10T00:48:20.8478693Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-10-10T00:48:20.8478862Z 
2025-10-10T00:48:20.8478975Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8479353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8479699Z     return mod(*inputs)
2025-10-10T00:48:20.8479997Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 57, in forward
2025-10-10T00:48:20.8480337Z     V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :])
2025-10-10T00:48:20.8480492Z 
2025-10-10T00:48:20.8480600Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8480976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8481317Z     return mod(*inputs)
2025-10-10T00:48:20.8481609Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 61, in forward
2025-10-10T00:48:20.8481975Z     g_I0_F_t_0_f = self.trainFlowBackWarp(I0, F_t_0_f)
2025-10-10T00:48:20.8482330Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:48:20.8482667Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:48:20.8482804Z 
2025-10-10T00:48:20.8482921Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8483298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8483645Z     return mod(*inputs)
2025-10-10T00:48:20.8483946Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 62, in forward
2025-10-10T00:48:20.8484308Z     g_I1_F_t_1_f = self.trainFlowBackWarp(I1, F_t_1_f)
2025-10-10T00:48:20.8484658Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:48:20.8484993Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:48:20.8485136Z 
2025-10-10T00:48:20.8485244Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8485620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8485960Z     return mod(*inputs)
2025-10-10T00:48:20.8486254Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 79, in forward
2025-10-10T00:48:20.8486619Z     + L1_lossFn(self.trainFlowBackWarp(I0, F_1_0), I1)
2025-10-10T00:48:20.8486978Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:48:20.8487314Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:48:20.8487448Z 
2025-10-10T00:48:20.8487555Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8487984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8488324Z     return mod(*inputs)
2025-10-10T00:48:20.8488625Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8489037Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8489253Z 
2025-10-10T00:48:20.8489360Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8489739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8490072Z     return mod(*inputs)
2025-10-10T00:48:20.8490412Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8490820Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8491238Z 
2025-10-10T00:48:20.8491355Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8491741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8492089Z     return mod(*inputs)
2025-10-10T00:48:20.8492388Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8492788Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8493005Z 
2025-10-10T00:48:20.8493112Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8493498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8493842Z     return mod(*inputs)
2025-10-10T00:48:20.8494147Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8494545Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8494764Z 
2025-10-10T00:48:20.8494871Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8495243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8495588Z     return mod(*inputs)
2025-10-10T00:48:20.8495877Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8496284Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8496501Z 
2025-10-10T00:48:20.8496606Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8496993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8497344Z     return mod(*inputs)
2025-10-10T00:48:20.8497640Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8498050Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8498057Z 
2025-10-10T00:48:20.8498175Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8498390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8498460Z     return mod(*inputs)
2025-10-10T00:48:20.8498658Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8498805Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8498808Z 
2025-10-10T00:48:20.8498919Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8499121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8499192Z     return mod(*inputs)
2025-10-10T00:48:20.8499389Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8499534Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8499621Z 
2025-10-10T00:48:20.8499734Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8499933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8500010Z     return mod(*inputs)
2025-10-10T00:48:20.8500197Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8500343Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8500347Z 
2025-10-10T00:48:20.8500465Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8500668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8500829Z     return mod(*inputs)
2025-10-10T00:48:20.8501021Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8501169Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8501183Z 
2025-10-10T00:48:20.8501289Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8501493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8501568Z     return mod(*inputs)
2025-10-10T00:48:20.8501757Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8501910Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8501914Z 
2025-10-10T00:48:20.8502018Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8502221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8502296Z     return mod(*inputs)
2025-10-10T00:48:20.8502484Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8502637Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8502644Z 
2025-10-10T00:48:20.8502748Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8502949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8503022Z     return mod(*inputs)
2025-10-10T00:48:20.8503210Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8503363Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8503367Z 
2025-10-10T00:48:20.8503472Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8503687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8503755Z     return mod(*inputs)
2025-10-10T00:48:20.8503945Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8504103Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8504107Z 
2025-10-10T00:48:20.8504212Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8504421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8504490Z     return mod(*inputs)
2025-10-10T00:48:20.8504676Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8504830Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8504833Z 
2025-10-10T00:48:20.8504938Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8505148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8505214Z     return mod(*inputs)
2025-10-10T00:48:20.8505410Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8505610Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8505614Z 
2025-10-10T00:48:20.8505716Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8505930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8505996Z     return mod(*inputs)
2025-10-10T00:48:20.8506191Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8506340Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8506345Z 
2025-10-10T00:48:20.8506512Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8506773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8506842Z     return mod(*inputs)
2025-10-10T00:48:20.8507046Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8507197Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8507202Z 
2025-10-10T00:48:20.8507317Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8507534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8507603Z     return mod(*inputs)
2025-10-10T00:48:20.8507801Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8507946Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8507950Z 
2025-10-10T00:48:20.8508065Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8508270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8508340Z     return mod(*inputs)
2025-10-10T00:48:20.8508537Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8508685Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8508689Z 
2025-10-10T00:48:20.8508802Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8509002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8509070Z     return mod(*inputs)
2025-10-10T00:48:20.8509266Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8509413Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8509417Z 
2025-10-10T00:48:20.8509530Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8509731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8509805Z     return mod(*inputs)
2025-10-10T00:48:20.8509995Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8510143Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8510147Z 
2025-10-10T00:48:20.8510261Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8510465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8510540Z     return mod(*inputs)
2025-10-10T00:48:20.8510727Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8510873Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8510884Z 
2025-10-10T00:48:20.8510992Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8511195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8511270Z     return mod(*inputs)
2025-10-10T00:48:20.8511500Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8511653Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8511657Z 
2025-10-10T00:48:20.8511762Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8511962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8512038Z     return mod(*inputs)
2025-10-10T00:48:20.8512229Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8512382Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8512385Z 
2025-10-10T00:48:20.8512528Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8512730Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8512805Z     return mod(*inputs)
2025-10-10T00:48:20.8512993Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8513146Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8513149Z 
2025-10-10T00:48:20.8513236Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8513327Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8513435Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8513646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8513721Z     return mod(*inputs)
2025-10-10T00:48:20.8513909Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 80, in forward
2025-10-10T00:48:20.8514020Z     + L1_lossFn(self.trainFlowBackWarp(I1, F_0_1), I0)
2025-10-10T00:48:20.8514207Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-10-10T00:48:20.8514290Z     grid = torch.stack((x, y), dim=3)
2025-10-10T00:48:20.8514293Z 
2025-10-10T00:48:20.8514382Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8514487Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8514702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8514769Z     return mod(*inputs)
2025-10-10T00:48:20.8514954Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8515106Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8515109Z 
2025-10-10T00:48:20.8515215Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8515428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8515493Z     return mod(*inputs)
2025-10-10T00:48:20.8515682Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8515838Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8515842Z 
2025-10-10T00:48:20.8515950Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8516160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8516226Z     return mod(*inputs)
2025-10-10T00:48:20.8516424Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8516568Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8516571Z 
2025-10-10T00:48:20.8516676Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8516891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8516959Z     return mod(*inputs)
2025-10-10T00:48:20.8517153Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8517339Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8517344Z 
2025-10-10T00:48:20.8517457Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8517662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8517729Z     return mod(*inputs)
2025-10-10T00:48:20.8517925Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8518069Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8518073Z 
2025-10-10T00:48:20.8518215Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8518417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8518485Z     return mod(*inputs)
2025-10-10T00:48:20.8518679Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8518828Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8518832Z 
2025-10-10T00:48:20.8518944Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8519155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8519220Z     return mod(*inputs)
2025-10-10T00:48:20.8519413Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8519556Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8519559Z 
2025-10-10T00:48:20.8519672Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8519873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8519950Z     return mod(*inputs)
2025-10-10T00:48:20.8520139Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8520283Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8520287Z 
2025-10-10T00:48:20.8520401Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8520613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8520685Z     return mod(*inputs)
2025-10-10T00:48:20.8520875Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8521019Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8521031Z 
2025-10-10T00:48:20.8521140Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8521340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8521413Z     return mod(*inputs)
2025-10-10T00:48:20.8521604Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8521756Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8521760Z 
2025-10-10T00:48:20.8521865Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8522065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8522142Z     return mod(*inputs)
2025-10-10T00:48:20.8522330Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8522484Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8522487Z 
2025-10-10T00:48:20.8522596Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8522795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8522905Z     return mod(*inputs)
2025-10-10T00:48:20.8523092Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-10-10T00:48:20.8523246Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-10-10T00:48:20.8523250Z 
2025-10-10T00:48:20.8523335Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8523424Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8523505Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8523584Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8523672Z cudagraph partition due to non gpu ops
2025-10-10T00:48:20.8523780Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:20.8524022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:20.8524100Z     return mod(*inputs)
2025-10-10T00:48:20.8524289Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 94, in forward
2025-10-10T00:48:20.8524435Z     loss = 204 * recnLoss + 102 * warpLoss + 0.005 * prcpLoss + loss_smooth
2025-10-10T00:48:20.8524439Z 
2025-10-10T00:48:46.4001216Z Compilation time (from dynamo_timed): 33.538943645
2025-10-10T00:48:46.4001754Z pass
2025-10-10T00:48:46.4002078Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:46.4010224Z TIMING: _recursive_pre_grad_passes:0.0078 _recursive_joint_graph_passes:0.28909 _recursive_post_grad_passes:0.16324 async_compile.wait:1.46454 code_gen:25.10524 inductor_compile:27.99134 backend_compile:31.17448 gc:0.00137 entire_frame_compile:33.53894 total_wall_time:33.53894
2025-10-10T00:48:46.4011331Z STATS: call_* op count: 374 | FakeTensorMode.__torch_dispatch__:9938 | FakeTensor.__torch_dispatch__:9287 | ProxyTorchDispatchMode.__torch_dispatch__:3330
2025-10-10T00:48:46.4011914Z Dynamo produced 1 graphs covering 374 ops with 0 graph breaks (0 unique)
2025-10-10T00:48:48.8892941Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:48:48.8893859Z   import pynvml  # type: ignore[import]
2025-10-10T00:48:51.1214355Z 
2025-10-10T00:48:51.5285978Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/alexnet-owt-7be5be79.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/alexnet-owt-7be5be79.pth
2025-10-10T00:48:51.5570566Z 
2025-10-10T00:48:51.5570666Z 
2025-10-10T00:48:51.6570881Z   0% 0.00/233M [00:00<?, ?B/s]
2025-10-10T00:48:51.6571148Z 
2025-10-10T00:48:51.7617508Z  12% 28.4M/233M [00:00<00:00, 297MB/s]
2025-10-10T00:48:51.7617787Z 
2025-10-10T00:48:51.8907011Z  27% 63.4M/233M [00:00<00:00, 329MB/s]
2025-10-10T00:48:51.8907250Z 
2025-10-10T00:48:52.2214220Z  41% 94.8M/233M [00:00<00:00, 291MB/s]
2025-10-10T00:48:52.2214453Z 
2025-10-10T00:48:52.3217470Z  53% 123M/233M [00:00<00:00, 160MB/s] 
2025-10-10T00:48:52.3217705Z 
2025-10-10T00:48:52.4224677Z  63% 147M/233M [00:00<00:00, 180MB/s]
2025-10-10T00:48:52.4224907Z 
2025-10-10T00:48:52.5220109Z  73% 170M/233M [00:00<00:00, 193MB/s]
2025-10-10T00:48:52.5223494Z 
2025-10-10T00:48:52.5743289Z  92% 214M/233M [00:00<00:00, 264MB/s]
2025-10-10T00:48:52.5743599Z 100% 233M/233M [00:01<00:00, 240MB/s]
2025-10-10T00:48:52.8795589Z 
2025-10-10T00:48:52.8796487Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:48:52.8796999Z cpu  eval  alexnet                            
2025-10-10T00:48:53.0228837Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:53.0603367Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:53.0967564Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:55.8146107Z cudagraph partition due to non gpu ops
2025-10-10T00:48:55.8147010Z cudagraph partition due to non gpu ops
2025-10-10T00:48:55.8147245Z cudagraph partition due to non gpu ops
2025-10-10T00:48:55.8147484Z cudagraph partition due to non gpu ops
2025-10-10T00:48:55.8147705Z cudagraph partition due to non gpu ops
2025-10-10T00:48:55.8147924Z cudagraph partition due to non gpu ops
2025-10-10T00:48:55.8148186Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8148602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8148973Z     return mod(*inputs)
2025-10-10T00:48:55.8149360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:48:55.8149853Z     x = self.features(x)
2025-10-10T00:48:55.8149976Z 
2025-10-10T00:48:55.8150098Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8150490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8150846Z     return mod(*inputs)
2025-10-10T00:48:55.8151196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:48:55.8151567Z     x = self.features(x)
2025-10-10T00:48:55.8151678Z 
2025-10-10T00:48:55.8151787Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8152173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8152519Z     return mod(*inputs)
2025-10-10T00:48:55.8152860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:48:55.8153314Z     x = self.features(x)
2025-10-10T00:48:55.8153431Z 
2025-10-10T00:48:55.8153540Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8153929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8154286Z     return mod(*inputs)
2025-10-10T00:48:55.8154632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:48:55.8155049Z     x = self.features(x)
2025-10-10T00:48:55.8155169Z 
2025-10-10T00:48:55.8155278Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8155661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8156008Z     return mod(*inputs)
2025-10-10T00:48:55.8156348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:48:55.8156705Z     x = self.features(x)
2025-10-10T00:48:55.8156822Z 
2025-10-10T00:48:55.8156932Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8157312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8157665Z     return mod(*inputs)
2025-10-10T00:48:55.8158001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:48:55.8158361Z     x = self.features(x)
2025-10-10T00:48:55.8158478Z 
2025-10-10T00:48:55.8158588Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8158968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8159312Z     return mod(*inputs)
2025-10-10T00:48:55.8159644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:48:55.8160006Z     x = self.features(x)
2025-10-10T00:48:55.8160122Z 
2025-10-10T00:48:55.8160227Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8160606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8160958Z     return mod(*inputs)
2025-10-10T00:48:55.8161290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:48:55.8161736Z     x = self.features(x)
2025-10-10T00:48:55.8161843Z 
2025-10-10T00:48:55.8161958Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8162339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8162681Z     return mod(*inputs)
2025-10-10T00:48:55.8163086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:48:55.8163451Z     x = self.features(x)
2025-10-10T00:48:55.8163558Z 
2025-10-10T00:48:55.8163688Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8164101Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8164431Z     return mod(*inputs)
2025-10-10T00:48:55.8164772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-10-10T00:48:55.8165136Z     x = self.features(x)
2025-10-10T00:48:55.8165243Z 
2025-10-10T00:48:55.8165358Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8165737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8166069Z     return mod(*inputs)
2025-10-10T00:48:55.8166406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 49, in forward
2025-10-10T00:48:55.8166769Z     x = self.avgpool(x)
2025-10-10T00:48:55.8166874Z 
2025-10-10T00:48:55.8166986Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8167358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8167708Z     return mod(*inputs)
2025-10-10T00:48:55.8168044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-10-10T00:48:55.8168416Z     x = self.classifier(x)
2025-10-10T00:48:55.8168533Z 
2025-10-10T00:48:55.8168646Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8169015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8169359Z     return mod(*inputs)
2025-10-10T00:48:55.8169697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-10-10T00:48:55.8170061Z     x = self.classifier(x)
2025-10-10T00:48:55.8170177Z 
2025-10-10T00:48:55.8170283Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8170664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8171003Z     return mod(*inputs)
2025-10-10T00:48:55.8171339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-10-10T00:48:55.8171703Z     x = self.classifier(x)
2025-10-10T00:48:55.8171820Z 
2025-10-10T00:48:55.8171927Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8172297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8172631Z     return mod(*inputs)
2025-10-10T00:48:55.8172969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-10-10T00:48:55.8173327Z     x = self.classifier(x)
2025-10-10T00:48:55.8173449Z 
2025-10-10T00:48:55.8173557Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:55.8173928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:55.8174263Z     return mod(*inputs)
2025-10-10T00:48:55.8174603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-10-10T00:48:55.8174957Z     x = self.classifier(x)
2025-10-10T00:48:55.8175078Z 
2025-10-10T00:49:05.9066405Z Compilation time (from dynamo_timed): 11.794187813
2025-10-10T00:49:05.9067027Z pass
2025-10-10T00:49:05.9067414Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:05.9068283Z TIMING: _recursive_pre_grad_passes:0.00368 _recursive_joint_graph_passes:0.34868 _recursive_post_grad_passes:0.01643 async_compile.wait:0.7284 code_gen:10.10268 inductor_compile:10.23879 backend_compile:11.47399 gc:0.00173 entire_frame_compile:11.79419 total_wall_time:11.79419
2025-10-10T00:49:05.9069256Z STATS: call_* op count: 22 | FakeTensorMode.__torch_dispatch__:928 | FakeTensor.__torch_dispatch__:163 | ProxyTorchDispatchMode.__torch_dispatch__:106
2025-10-10T00:49:05.9070057Z Dynamo produced 1 graphs covering 22 ops with 0 graph breaks (0 unique)
2025-10-10T00:49:07.7080124Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:49:07.7081065Z   import pynvml  # type: ignore[import]
2025-10-10T00:49:09.9591054Z 
2025-10-10T00:49:11.7243246Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:49:11.7243550Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:49:11.7243793Z cpu  eval  basic_gnn_edgecnn                  
2025-10-10T00:49:12.2127805Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:12.4697658Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:12.7268958Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:14.1491850Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1492334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1492793Z     return mod(*inputs)
2025-10-10T00:49:14.1493221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1493657Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1493932Z   File "/tmp/jenkins_pyg/tmpnnf5543c.py", line 233, in forward
2025-10-10T00:49:14.1494232Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1494559Z   File "/tmp/jenkins_pyg/tmpnnf5543c.py", line 192, in propagate
2025-10-10T00:49:14.1494954Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-10-10T00:49:14.1495505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:49:14.1496017Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:49:14.1496465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:49:14.1496987Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:49:14.1497435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-10-10T00:49:14.1497873Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-10-10T00:49:14.1498289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:49:14.1498688Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:49:14.1499090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-10-10T00:49:14.1499490Z     return src.new_zeros(size).scatter_reduce_(
2025-10-10T00:49:14.1499651Z 
2025-10-10T00:49:14.1499776Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1500187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1500888Z     return mod(*inputs)
2025-10-10T00:49:14.1501275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1501684Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1501950Z   File "/tmp/jenkins_pyg/tmpn91p1pv5.py", line 233, in forward
2025-10-10T00:49:14.1502234Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1502527Z   File "/tmp/jenkins_pyg/tmpn91p1pv5.py", line 192, in propagate
2025-10-10T00:49:14.1502899Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-10-10T00:49:14.1503540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:49:14.1504030Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:49:14.1504464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:49:14.1504896Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:49:14.1505314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-10-10T00:49:14.1505755Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-10-10T00:49:14.1506187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:49:14.1506818Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:49:14.1507229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-10-10T00:49:14.1507646Z     return src.new_zeros(size).scatter_reduce_(
2025-10-10T00:49:14.1507806Z 
2025-10-10T00:49:14.1507929Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1508327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1508683Z     return mod(*inputs)
2025-10-10T00:49:14.1509079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1509487Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1509748Z   File "/tmp/jenkins_pyg/tmpottjm6od.py", line 233, in forward
2025-10-10T00:49:14.1510028Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1510327Z   File "/tmp/jenkins_pyg/tmpottjm6od.py", line 192, in propagate
2025-10-10T00:49:14.1510698Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-10-10T00:49:14.1511231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:49:14.1511732Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:49:14.1512175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:49:14.1512670Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:49:14.1513090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-10-10T00:49:14.1513537Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-10-10T00:49:14.1513972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:49:14.1514376Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:49:14.1514777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-10-10T00:49:14.1515182Z     return src.new_zeros(size).scatter_reduce_(
2025-10-10T00:49:14.1515347Z 
2025-10-10T00:49:14.1515460Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1516534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1516913Z     return mod(*inputs)
2025-10-10T00:49:14.1517290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1517698Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1517965Z   File "/tmp/jenkins_pyg/tmpnnf5543c.py", line 233, in forward
2025-10-10T00:49:14.1518257Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1518554Z   File "/tmp/jenkins_pyg/tmpnnf5543c.py", line 191, in propagate
2025-10-10T00:49:14.1518843Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1519323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1519774Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1519944Z 
2025-10-10T00:49:14.1520065Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1520453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1520795Z     return mod(*inputs)
2025-10-10T00:49:14.1521164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1521578Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1521837Z   File "/tmp/jenkins_pyg/tmpnnf5543c.py", line 233, in forward
2025-10-10T00:49:14.1522117Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1522409Z   File "/tmp/jenkins_pyg/tmpnnf5543c.py", line 191, in propagate
2025-10-10T00:49:14.1522706Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1523113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1523529Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1523926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:49:14.1524291Z     x = lin(x)
2025-10-10T00:49:14.1524625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:14.1525021Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:14.1525177Z 
2025-10-10T00:49:14.1525285Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1525665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1526009Z     return mod(*inputs)
2025-10-10T00:49:14.1526374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1526772Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1527022Z   File "/tmp/jenkins_pyg/tmpnnf5543c.py", line 233, in forward
2025-10-10T00:49:14.1527307Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1527591Z   File "/tmp/jenkins_pyg/tmpnnf5543c.py", line 191, in propagate
2025-10-10T00:49:14.1527874Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1528269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1528683Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1529089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:49:14.1529454Z     x = self.act(x)
2025-10-10T00:49:14.1529553Z 
2025-10-10T00:49:14.1529673Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1530039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1530386Z     return mod(*inputs)
2025-10-10T00:49:14.1530744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1531182Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1531429Z   File "/tmp/jenkins_pyg/tmpnnf5543c.py", line 233, in forward
2025-10-10T00:49:14.1531715Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1531998Z   File "/tmp/jenkins_pyg/tmpnnf5543c.py", line 191, in propagate
2025-10-10T00:49:14.1532278Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1532685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1533089Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1533533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:49:14.1533909Z     x = self.lins[-1](x)
2025-10-10T00:49:14.1534270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:14.1534669Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:14.1534830Z 
2025-10-10T00:49:14.1534920Z cudagraph partition due to non gpu ops
2025-10-10T00:49:14.1535174Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1535552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1535898Z     return mod(*inputs)
2025-10-10T00:49:14.1536258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1536646Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1536902Z   File "/tmp/jenkins_pyg/tmpn91p1pv5.py", line 233, in forward
2025-10-10T00:49:14.1537185Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1537465Z   File "/tmp/jenkins_pyg/tmpn91p1pv5.py", line 191, in propagate
2025-10-10T00:49:14.1537754Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1538161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1538566Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1538725Z 
2025-10-10T00:49:14.1538840Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1539205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1539545Z     return mod(*inputs)
2025-10-10T00:49:14.1539901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1540304Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1540551Z   File "/tmp/jenkins_pyg/tmpn91p1pv5.py", line 233, in forward
2025-10-10T00:49:14.1540828Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1541113Z   File "/tmp/jenkins_pyg/tmpn91p1pv5.py", line 191, in propagate
2025-10-10T00:49:14.1541394Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1541797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1542202Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1542603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:49:14.1542965Z     x = lin(x)
2025-10-10T00:49:14.1543297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:14.1543686Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:14.1543852Z 
2025-10-10T00:49:14.1543962Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1544343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1544772Z     return mod(*inputs)
2025-10-10T00:49:14.1545134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1545525Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1545785Z   File "/tmp/jenkins_pyg/tmpn91p1pv5.py", line 233, in forward
2025-10-10T00:49:14.1546072Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1546372Z   File "/tmp/jenkins_pyg/tmpn91p1pv5.py", line 191, in propagate
2025-10-10T00:49:14.1546782Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1547206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1547675Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1548090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:49:14.1548485Z     x = self.act(x)
2025-10-10T00:49:14.1548589Z 
2025-10-10T00:49:14.1548700Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1549087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1549435Z     return mod(*inputs)
2025-10-10T00:49:14.1549806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1550216Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1550469Z   File "/tmp/jenkins_pyg/tmpn91p1pv5.py", line 233, in forward
2025-10-10T00:49:14.1550757Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1551053Z   File "/tmp/jenkins_pyg/tmpn91p1pv5.py", line 191, in propagate
2025-10-10T00:49:14.1551342Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1551750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1552173Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1552581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:49:14.1552978Z     x = self.lins[-1](x)
2025-10-10T00:49:14.1553332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:14.1553749Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:14.1553912Z 
2025-10-10T00:49:14.1554003Z cudagraph partition due to non gpu ops
2025-10-10T00:49:14.1554258Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1554643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1554983Z     return mod(*inputs)
2025-10-10T00:49:14.1555362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1555780Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1556036Z   File "/tmp/jenkins_pyg/tmpottjm6od.py", line 233, in forward
2025-10-10T00:49:14.1556319Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1556609Z   File "/tmp/jenkins_pyg/tmpottjm6od.py", line 191, in propagate
2025-10-10T00:49:14.1556896Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1557309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1557727Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1557889Z 
2025-10-10T00:49:14.1558002Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1558389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1558739Z     return mod(*inputs)
2025-10-10T00:49:14.1559106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1559559Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1559817Z   File "/tmp/jenkins_pyg/tmpottjm6od.py", line 233, in forward
2025-10-10T00:49:14.1560116Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1560401Z   File "/tmp/jenkins_pyg/tmpottjm6od.py", line 191, in propagate
2025-10-10T00:49:14.1560685Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1561084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1561490Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1561926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:49:14.1562295Z     x = lin(x)
2025-10-10T00:49:14.1562622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:14.1563032Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:14.1563190Z 
2025-10-10T00:49:14.1563311Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1563689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1564029Z     return mod(*inputs)
2025-10-10T00:49:14.1564381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1564785Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1565039Z   File "/tmp/jenkins_pyg/tmpottjm6od.py", line 233, in forward
2025-10-10T00:49:14.1565322Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1565598Z   File "/tmp/jenkins_pyg/tmpottjm6od.py", line 191, in propagate
2025-10-10T00:49:14.1565881Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1566284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1566696Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1567095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:49:14.1567452Z     x = self.act(x)
2025-10-10T00:49:14.1567562Z 
2025-10-10T00:49:14.1567671Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:14.1568047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:14.1568388Z     return mod(*inputs)
2025-10-10T00:49:14.1568750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:14.1569132Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:14.1569386Z   File "/tmp/jenkins_pyg/tmpottjm6od.py", line 233, in forward
2025-10-10T00:49:14.1569663Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:49:14.1569948Z   File "/tmp/jenkins_pyg/tmpottjm6od.py", line 191, in propagate
2025-10-10T00:49:14.1570218Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:49:14.1570621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:49:14.1571026Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:49:14.1571422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:49:14.1571806Z     x = self.lins[-1](x)
2025-10-10T00:49:14.1572153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:14.1572549Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:14.1572708Z 
2025-10-10T00:49:14.1572796Z cudagraph partition due to non gpu ops
2025-10-10T00:49:22.5878898Z Compilation time (from dynamo_timed): 9.687367829
2025-10-10T00:49:22.5879577Z pass
2025-10-10T00:49:22.5879901Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:22.5880746Z TIMING: _recursive_pre_grad_passes:0.00404 _recursive_joint_graph_passes:0.14758 _recursive_post_grad_passes:0.01956 async_compile.wait:0.48929 code_gen:8.22797 inductor_compile:8.33565 backend_compile:9.30182 gc:0.00015 entire_frame_compile:9.68737 total_wall_time:9.68737
2025-10-10T00:49:22.5881889Z STATS: call_* op count: 55 | FakeTensorMode.__torch_dispatch__:964 | FakeTensor.__torch_dispatch__:299 | ProxyTorchDispatchMode.__torch_dispatch__:198
2025-10-10T00:49:22.5882418Z Dynamo produced 1 graphs covering 55 ops with 0 graph breaks (0 unique)
2025-10-10T00:49:24.4184976Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:49:24.4185926Z   import pynvml  # type: ignore[import]
2025-10-10T00:49:26.5916671Z 
2025-10-10T00:49:28.2315562Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:49:28.2315888Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:49:28.2316125Z cpu  eval  basic_gnn_gcn                      
2025-10-10T00:49:28.3840696Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:28.4653134Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:28.5448294Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:29.7047560Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:29.7051107Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/loop.py", line 340, in add_remaining_self_loops
2025-10-10T00:49:29.7051575Z     mask = edge_index[0] != edge_index[1]
2025-10-10T00:49:29.7051727Z 
2025-10-10T00:49:29.7051874Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:29.7052342Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/loop.py", line 343, in add_remaining_self_loops
2025-10-10T00:49:29.7052790Z     loop_index = loop_index.unsqueeze(0).repeat(2, 1)
2025-10-10T00:49:29.7052958Z 
2025-10-10T00:49:37.8376703Z cudagraph partition due to non gpu ops
2025-10-10T00:49:37.8377189Z cudagraph partition due to non gpu ops
2025-10-10T00:49:37.8377548Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:37.8378247Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/loop.py", line 370, in torch_dynamo_resume_in_add_remaining_self_loops_at_370
2025-10-10T00:49:37.8378779Z     edge_index = torch.cat([edge_index[:, mask], loop_index], dim=1)
2025-10-10T00:49:37.8378988Z 
2025-10-10T00:49:38.4827075Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.4827773Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 100, in torch_dynamo_resume_in_gcn_norm_at_91
2025-10-10T00:49:38.4828347Z     deg = scatter(edge_weight, idx, dim=0, dim_size=num_nodes, reduce='sum')
2025-10-10T00:49:38.4828837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-10-10T00:49:38.4829306Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:49:38.4829522Z 
2025-10-10T00:49:38.4829643Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.4830149Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 95, in torch_dynamo_resume_in_gcn_norm_at_91
2025-10-10T00:49:38.4830658Z     edge_weight = torch.ones((edge_index.size(1), ), dtype=dtype,
2025-10-10T00:49:38.4830866Z 
2025-10-10T00:49:38.4830966Z cudagraph partition due to non gpu ops
2025-10-10T00:49:38.4831614Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:38.4832111Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 103, in torch_dynamo_resume_in_gcn_norm_at_91
2025-10-10T00:49:38.4832620Z     edge_weight = deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
2025-10-10T00:49:38.4832819Z 
2025-10-10T00:49:39.4322987Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.4323485Z    File "/tmp/jenkins_pyg/tmp3jkxqh2x.py", line 240, in torch_dynamo_resume_in_forward_at_221
2025-10-10T00:49:39.4323839Z     x = self.lin(x)
2025-10-10T00:49:39.4324631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:39.4325030Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:39.4325189Z 
2025-10-10T00:49:39.4325303Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.4325661Z    File "/tmp/jenkins_pyg/tmp3jkxqh2x.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-10-10T00:49:39.4326022Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-10-10T00:49:39.4326335Z   File "/tmp/jenkins_pyg/tmp3jkxqh2x.py", line 188, in propagate
2025-10-10T00:49:39.4326681Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-10-10T00:49:39.4327183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:49:39.4327644Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:49:39.4328070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:49:39.4328494Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:49:39.4328891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-10-10T00:49:39.4329308Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-10-10T00:49:39.4329709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:49:39.4330086Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:49:39.4330456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-10-10T00:49:39.4330854Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:49:39.4331028Z 
2025-10-10T00:49:39.4331139Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.4331489Z    File "/tmp/jenkins_pyg/tmp3jkxqh2x.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-10-10T00:49:39.4331877Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-10-10T00:49:39.4332210Z   File "/tmp/jenkins_pyg/tmp3jkxqh2x.py", line 187, in propagate
2025-10-10T00:49:39.4332536Z     out = self.message(x_j=kwargs.x_j, edge_weight=kwargs.edge_weight)
2025-10-10T00:49:39.4332983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message
2025-10-10T00:49:39.4333442Z     return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j
2025-10-10T00:49:39.4333636Z 
2025-10-10T00:49:39.4333734Z cudagraph partition due to non gpu ops
2025-10-10T00:49:39.4333990Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:39.4334343Z    File "/tmp/jenkins_pyg/tmp3jkxqh2x.py", line 247, in torch_dynamo_resume_in_forward_at_221
2025-10-10T00:49:39.4334681Z     out = out + self.bias
2025-10-10T00:49:39.4334796Z 
2025-10-10T00:49:40.6793070Z Compilation time (from dynamo_timed): 11.998755502
2025-10-10T00:49:40.6793396Z pass
2025-10-10T00:49:40.6793709Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:40.6794565Z TIMING: gc:0.00745 entire_frame_compile:11.99876 _recursive_pre_grad_passes:0.00607 _recursive_joint_graph_passes:0.13713 _recursive_post_grad_passes:0.01921 async_compile.wait:2.11367 code_gen:9.85835 inductor_compile:9.97577 backend_compile:10.96727 total_wall_time:11.99876
2025-10-10T00:49:40.6795920Z STATS: call_* op count: 57 | FakeTensorMode.__torch_dispatch__:846 | FakeTensor.__torch_dispatch__:179 | ProxyTorchDispatchMode.__torch_dispatch__:97
2025-10-10T00:49:40.6796453Z Dynamo produced 6 graphs covering 57 ops with 6 graph breaks (1 unique)
2025-10-10T00:49:42.4900897Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:49:42.4901823Z   import pynvml  # type: ignore[import]
2025-10-10T00:49:44.6952206Z 
2025-10-10T00:49:46.3455874Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:49:46.3456259Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:49:46.3456895Z cpu  eval  basic_gnn_gin                      
2025-10-10T00:49:46.4288264Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:46.4741254Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:46.5169927Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:47.9092317Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9092873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9093250Z     return mod(*inputs)
2025-10-10T00:49:47.9093703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9094106Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9094398Z   File "/tmp/jenkins_pyg/tmpd3dy8lnq.py", line 225, in forward
2025-10-10T00:49:47.9094694Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:49:47.9095001Z   File "/tmp/jenkins_pyg/tmpd3dy8lnq.py", line 182, in propagate
2025-10-10T00:49:47.9095381Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-10-10T00:49:47.9095926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:49:47.9096457Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:49:47.9096915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:49:47.9097388Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:49:47.9097845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-10-10T00:49:47.9098272Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-10-10T00:49:47.9098690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:49:47.9099091Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:49:47.9099485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-10-10T00:49:47.9099904Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:49:47.9100096Z 
2025-10-10T00:49:47.9100217Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9100790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9101159Z     return mod(*inputs)
2025-10-10T00:49:47.9101547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9102331Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9102607Z   File "/tmp/jenkins_pyg/tmpd3dy8lnq.py", line 225, in forward
2025-10-10T00:49:47.9102902Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:49:47.9103201Z   File "/tmp/jenkins_pyg/tmpd3dy8lnq.py", line 180, in propagate
2025-10-10T00:49:47.9103503Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:49:47.9103806Z   File "/tmp/jenkins_pyg/tmpd3dy8lnq.py", line 127, in _collect
2025-10-10T00:49:47.9104080Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:49:47.9104345Z   File "/tmp/jenkins_pyg/tmpd3dy8lnq.py", line 87, in _lift
2025-10-10T00:49:47.9104628Z     return src.index_select(self.node_dim, index)
2025-10-10T00:49:47.9104791Z 
2025-10-10T00:49:47.9105065Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9105463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9105822Z     return mod(*inputs)
2025-10-10T00:49:47.9106460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9106871Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9107141Z   File "/tmp/jenkins_pyg/tmphf2sp5of.py", line 225, in forward
2025-10-10T00:49:47.9107433Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:49:47.9107727Z   File "/tmp/jenkins_pyg/tmphf2sp5of.py", line 182, in propagate
2025-10-10T00:49:47.9108099Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-10-10T00:49:47.9108623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:49:47.9109115Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:49:47.9109567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:49:47.9110039Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:49:47.9110473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-10-10T00:49:47.9110923Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-10-10T00:49:47.9111358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:49:47.9111766Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:49:47.9112165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-10-10T00:49:47.9112607Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:49:47.9112796Z 
2025-10-10T00:49:47.9112910Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9113302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9113657Z     return mod(*inputs)
2025-10-10T00:49:47.9114026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9114439Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9114703Z   File "/tmp/jenkins_pyg/tmp9sp_2owb.py", line 225, in forward
2025-10-10T00:49:47.9114992Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:49:47.9115275Z   File "/tmp/jenkins_pyg/tmp9sp_2owb.py", line 182, in propagate
2025-10-10T00:49:47.9115640Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-10-10T00:49:47.9116169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:49:47.9116655Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:49:47.9117098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:49:47.9117615Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:49:47.9118041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-10-10T00:49:47.9118476Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-10-10T00:49:47.9118915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:49:47.9119301Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:49:47.9119683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-10-10T00:49:47.9120130Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:49:47.9120311Z 
2025-10-10T00:49:47.9120401Z cudagraph partition due to non gpu ops
2025-10-10T00:49:47.9120653Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9121029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9121371Z     return mod(*inputs)
2025-10-10T00:49:47.9121735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9122143Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9122399Z   File "/tmp/jenkins_pyg/tmpd3dy8lnq.py", line 229, in forward
2025-10-10T00:49:47.9122649Z     out = out + (1 + self.eps) * x_r
2025-10-10T00:49:47.9122787Z 
2025-10-10T00:49:47.9122897Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9123275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9123622Z     return mod(*inputs)
2025-10-10T00:49:47.9123984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9124376Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9124634Z   File "/tmp/jenkins_pyg/tmpd3dy8lnq.py", line 231, in forward
2025-10-10T00:49:47.9124889Z     return self.nn(out)
2025-10-10T00:49:47.9125239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:49:47.9125597Z     x = lin(x)
2025-10-10T00:49:47.9125936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:47.9126336Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:47.9126491Z 
2025-10-10T00:49:47.9126608Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9126980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9127321Z     return mod(*inputs)
2025-10-10T00:49:47.9127682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9128076Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9128331Z   File "/tmp/jenkins_pyg/tmpd3dy8lnq.py", line 231, in forward
2025-10-10T00:49:47.9128574Z     return self.nn(out)
2025-10-10T00:49:47.9128917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:49:47.9129287Z     x = self.act(x)
2025-10-10T00:49:47.9129386Z 
2025-10-10T00:49:47.9129502Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9129873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9130216Z     return mod(*inputs)
2025-10-10T00:49:47.9130580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9130975Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9131226Z   File "/tmp/jenkins_pyg/tmpd3dy8lnq.py", line 231, in forward
2025-10-10T00:49:47.9131508Z     return self.nn(out)
2025-10-10T00:49:47.9131847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:49:47.9132219Z     x = self.lins[-1](x)
2025-10-10T00:49:47.9132574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:47.9132962Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:47.9133121Z 
2025-10-10T00:49:47.9133230Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9133604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9133941Z     return mod(*inputs)
2025-10-10T00:49:47.9134328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9134714Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9134963Z   File "/tmp/jenkins_pyg/tmphf2sp5of.py", line 225, in forward
2025-10-10T00:49:47.9135248Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:49:47.9135532Z   File "/tmp/jenkins_pyg/tmphf2sp5of.py", line 180, in propagate
2025-10-10T00:49:47.9135817Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:49:47.9136112Z   File "/tmp/jenkins_pyg/tmphf2sp5of.py", line 127, in _collect
2025-10-10T00:49:47.9136370Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:49:47.9136622Z   File "/tmp/jenkins_pyg/tmphf2sp5of.py", line 87, in _lift
2025-10-10T00:49:47.9136883Z     return src.index_select(self.node_dim, index)
2025-10-10T00:49:47.9137046Z 
2025-10-10T00:49:47.9137130Z cudagraph partition due to non gpu ops
2025-10-10T00:49:47.9137384Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9137761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9138100Z     return mod(*inputs)
2025-10-10T00:49:47.9138436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9138808Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9139049Z   File "/tmp/jenkins_pyg/tmphf2sp5of.py", line 229, in forward
2025-10-10T00:49:47.9139287Z     out = out + (1 + self.eps) * x_r
2025-10-10T00:49:47.9139410Z 
2025-10-10T00:49:47.9139554Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9139899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9140225Z     return mod(*inputs)
2025-10-10T00:49:47.9140587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9140980Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9141231Z   File "/tmp/jenkins_pyg/tmphf2sp5of.py", line 231, in forward
2025-10-10T00:49:47.9141470Z     return self.nn(out)
2025-10-10T00:49:47.9141822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:49:47.9142187Z     x = lin(x)
2025-10-10T00:49:47.9142648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:47.9143045Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:47.9143208Z 
2025-10-10T00:49:47.9143316Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9143694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9144036Z     return mod(*inputs)
2025-10-10T00:49:47.9144400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9144783Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9145036Z   File "/tmp/jenkins_pyg/tmphf2sp5of.py", line 231, in forward
2025-10-10T00:49:47.9145288Z     return self.nn(out)
2025-10-10T00:49:47.9145710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:49:47.9146122Z     x = self.act(x)
2025-10-10T00:49:47.9146234Z 
2025-10-10T00:49:47.9146342Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9146733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9147083Z     return mod(*inputs)
2025-10-10T00:49:47.9147452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9147831Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9148120Z   File "/tmp/jenkins_pyg/tmphf2sp5of.py", line 231, in forward
2025-10-10T00:49:47.9148364Z     return self.nn(out)
2025-10-10T00:49:47.9148699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:49:47.9149059Z     x = self.lins[-1](x)
2025-10-10T00:49:47.9149425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:47.9149830Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:47.9149976Z 
2025-10-10T00:49:47.9150087Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9150471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9150795Z     return mod(*inputs)
2025-10-10T00:49:47.9151165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9151555Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9151805Z   File "/tmp/jenkins_pyg/tmp9sp_2owb.py", line 225, in forward
2025-10-10T00:49:47.9152072Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:49:47.9152350Z   File "/tmp/jenkins_pyg/tmp9sp_2owb.py", line 180, in propagate
2025-10-10T00:49:47.9152640Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:49:47.9152930Z   File "/tmp/jenkins_pyg/tmp9sp_2owb.py", line 127, in _collect
2025-10-10T00:49:47.9153173Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:49:47.9153421Z   File "/tmp/jenkins_pyg/tmp9sp_2owb.py", line 87, in _lift
2025-10-10T00:49:47.9153687Z     return src.index_select(self.node_dim, index)
2025-10-10T00:49:47.9153837Z 
2025-10-10T00:49:47.9153929Z cudagraph partition due to non gpu ops
2025-10-10T00:49:47.9154176Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9154556Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9154903Z     return mod(*inputs)
2025-10-10T00:49:47.9155249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9155623Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9155854Z   File "/tmp/jenkins_pyg/tmp9sp_2owb.py", line 229, in forward
2025-10-10T00:49:47.9156093Z     out = out + (1 + self.eps) * x_r
2025-10-10T00:49:47.9156221Z 
2025-10-10T00:49:47.9156325Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9156681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9157005Z     return mod(*inputs)
2025-10-10T00:49:47.9157337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9157712Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9157947Z   File "/tmp/jenkins_pyg/tmp9sp_2owb.py", line 231, in forward
2025-10-10T00:49:47.9158184Z     return self.nn(out)
2025-10-10T00:49:47.9158502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-10-10T00:49:47.9158847Z     x = lin(x)
2025-10-10T00:49:47.9159163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:47.9159575Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:47.9159716Z 
2025-10-10T00:49:47.9159826Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9160170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9160491Z     return mod(*inputs)
2025-10-10T00:49:47.9160830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9161198Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9161431Z   File "/tmp/jenkins_pyg/tmp9sp_2owb.py", line 231, in forward
2025-10-10T00:49:47.9161700Z     return self.nn(out)
2025-10-10T00:49:47.9162026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:49:47.9162369Z     x = self.act(x)
2025-10-10T00:49:47.9162466Z 
2025-10-10T00:49:47.9162575Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:47.9162916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:49:47.9163231Z     return mod(*inputs)
2025-10-10T00:49:47.9163566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:49:47.9163931Z     x = self.convs[i](x, edge_index)
2025-10-10T00:49:47.9164155Z   File "/tmp/jenkins_pyg/tmp9sp_2owb.py", line 231, in forward
2025-10-10T00:49:47.9164384Z     return self.nn(out)
2025-10-10T00:49:47.9164707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:49:47.9165054Z     x = self.lins[-1](x)
2025-10-10T00:49:47.9165380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:49:47.9165754Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:49:47.9165903Z 
2025-10-10T00:49:56.1843168Z Compilation time (from dynamo_timed): 9.584307151
2025-10-10T00:49:56.1843481Z pass
2025-10-10T00:49:56.1843804Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:56.1845062Z TIMING: _recursive_pre_grad_passes:0.00365 _recursive_joint_graph_passes:0.14407 _recursive_post_grad_passes:0.01946 async_compile.wait:0.52867 code_gen:8.14245 inductor_compile:8.24764 backend_compile:9.20671 gc:0.00115 entire_frame_compile:9.58431 total_wall_time:9.58431
2025-10-10T00:49:56.1846143Z STATS: call_* op count: 52 | FakeTensorMode.__torch_dispatch__:881 | FakeTensor.__torch_dispatch__:296 | ProxyTorchDispatchMode.__torch_dispatch__:189
2025-10-10T00:49:56.1846670Z Dynamo produced 1 graphs covering 52 ops with 0 graph breaks (0 unique)
2025-10-10T00:49:57.9992620Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:49:57.9993568Z   import pynvml  # type: ignore[import]
2025-10-10T00:50:00.2349289Z 
2025-10-10T00:50:01.8843517Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:01.8844043Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:50:01.8844555Z cpu  eval  basic_gnn_sage                     
2025-10-10T00:50:01.9664796Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:02.0082646Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:02.0496408Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:03.4405271Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4405791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4406610Z     return mod(*inputs)
2025-10-10T00:50:03.4407032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4407453Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4407726Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 228, in forward
2025-10-10T00:50:03.4408027Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4408329Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 182, in propagate
2025-10-10T00:50:03.4408717Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4409398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4409896Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4410333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4410782Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4411226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4411671Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4412094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4412493Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4412912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-10-10T00:50:03.4413332Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:50:03.4413508Z 
2025-10-10T00:50:03.4413636Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4414049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4414402Z     return mod(*inputs)
2025-10-10T00:50:03.4414786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4415195Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4415456Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 228, in forward
2025-10-10T00:50:03.4415736Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4416025Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 180, in propagate
2025-10-10T00:50:03.4416325Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:50:03.4416625Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 127, in _collect
2025-10-10T00:50:03.4416882Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:50:03.4417142Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 87, in _lift
2025-10-10T00:50:03.4417414Z     return src.index_select(self.node_dim, index)
2025-10-10T00:50:03.4417573Z 
2025-10-10T00:50:03.4417694Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4418080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4418431Z     return mod(*inputs)
2025-10-10T00:50:03.4418811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4419213Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4419474Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 228, in forward
2025-10-10T00:50:03.4419747Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4420034Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 182, in propagate
2025-10-10T00:50:03.4420394Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4420922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4421466Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4421906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4422350Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4422768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4423205Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4423658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4424047Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4424440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:50:03.4424860Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:50:03.4425040Z 
2025-10-10T00:50:03.4425160Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4425559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4426219Z     return mod(*inputs)
2025-10-10T00:50:03.4426694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4427097Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4427369Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 228, in forward
2025-10-10T00:50:03.4427671Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4427957Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 182, in propagate
2025-10-10T00:50:03.4428325Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4428856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4429365Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4429806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4430244Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4430676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4431116Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4431548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4431944Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4432350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:50:03.4432784Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:50:03.4432969Z 
2025-10-10T00:50:03.4433091Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4433482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4433850Z     return mod(*inputs)
2025-10-10T00:50:03.4434224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4434643Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4434902Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 228, in forward
2025-10-10T00:50:03.4435183Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4435473Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 182, in propagate
2025-10-10T00:50:03.4435839Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4436412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4436905Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4437342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4437779Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4438207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4438685Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4439106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4439509Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4439915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-10-10T00:50:03.4440335Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:50:03.4440505Z 
2025-10-10T00:50:03.4440621Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4440998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4441342Z     return mod(*inputs)
2025-10-10T00:50:03.4441704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4442107Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4442362Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 228, in forward
2025-10-10T00:50:03.4442633Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4442915Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 182, in propagate
2025-10-10T00:50:03.4443270Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4443770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4444229Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4444655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4445076Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4445487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4445910Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4446321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4446718Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4447112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:50:03.4447532Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:50:03.4447711Z 
2025-10-10T00:50:03.4447830Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4448207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4448551Z     return mod(*inputs)
2025-10-10T00:50:03.4448922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4449320Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4449571Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 228, in forward
2025-10-10T00:50:03.4449852Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4450136Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 182, in propagate
2025-10-10T00:50:03.4450549Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4451033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4451500Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4451938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4452366Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4452822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4453246Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4453655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4454051Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4454440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:50:03.4454833Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:50:03.4455010Z 
2025-10-10T00:50:03.4455126Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4455501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4455849Z     return mod(*inputs)
2025-10-10T00:50:03.4456215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4456621Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4456868Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 228, in forward
2025-10-10T00:50:03.4457147Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4457432Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 182, in propagate
2025-10-10T00:50:03.4457786Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4458285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4458764Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4459195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4459615Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4460027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4460441Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4460855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4461246Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4461637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-10-10T00:50:03.4462041Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-10-10T00:50:03.4462212Z 
2025-10-10T00:50:03.4462324Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4462790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4463139Z     return mod(*inputs)
2025-10-10T00:50:03.4463512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4463907Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4464156Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 228, in forward
2025-10-10T00:50:03.4464480Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4464761Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 182, in propagate
2025-10-10T00:50:03.4465121Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4465624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4466236Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4466690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4467141Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4467623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4468053Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4468473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4468895Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4469299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:50:03.4469742Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:50:03.4469922Z 
2025-10-10T00:50:03.4470032Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4470462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4470830Z     return mod(*inputs)
2025-10-10T00:50:03.4471216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4471602Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4471857Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 228, in forward
2025-10-10T00:50:03.4472139Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4472422Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 182, in propagate
2025-10-10T00:50:03.4472777Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4473279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4473773Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4474205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4474631Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4475048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4475463Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4475885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4476274Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4476664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-10-10T00:50:03.4477070Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-10-10T00:50:03.4477254Z 
2025-10-10T00:50:03.4477344Z cudagraph partition due to non gpu ops
2025-10-10T00:50:03.4477569Z cudagraph partition due to non gpu ops
2025-10-10T00:50:03.4477817Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4478196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4478533Z     return mod(*inputs)
2025-10-10T00:50:03.4478896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4479336Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4479592Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 228, in forward
2025-10-10T00:50:03.4479865Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4480147Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 182, in propagate
2025-10-10T00:50:03.4480504Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4481015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4481491Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4481956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4482415Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4482840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4483305Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4483724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4484134Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4484527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-10-10T00:50:03.4484945Z     return out / broadcast(count, out, dim)
2025-10-10T00:50:03.4485089Z 
2025-10-10T00:50:03.4485209Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4485612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4485991Z     return mod(*inputs)
2025-10-10T00:50:03.4486377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4486802Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4487060Z   File "/tmp/jenkins_pyg/tmp5qyo9pea.py", line 229, in forward
2025-10-10T00:50:03.4487306Z     out = self.lin_l(out)
2025-10-10T00:50:03.4487667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:50:03.4488100Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:50:03.4488256Z 
2025-10-10T00:50:03.4488348Z cudagraph partition due to non gpu ops
2025-10-10T00:50:03.4488592Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4488973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4489349Z     return mod(*inputs)
2025-10-10T00:50:03.4489724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4490141Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4490390Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 228, in forward
2025-10-10T00:50:03.4490834Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4491352Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 180, in propagate
2025-10-10T00:50:03.4491656Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:50:03.4491944Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 127, in _collect
2025-10-10T00:50:03.4492207Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:50:03.4492463Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 87, in _lift
2025-10-10T00:50:03.4492736Z     return src.index_select(self.node_dim, index)
2025-10-10T00:50:03.4492893Z 
2025-10-10T00:50:03.4492986Z cudagraph partition due to non gpu ops
2025-10-10T00:50:03.4493200Z cudagraph partition due to non gpu ops
2025-10-10T00:50:03.4493449Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4493924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4494253Z     return mod(*inputs)
2025-10-10T00:50:03.4494600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4495001Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4495256Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 228, in forward
2025-10-10T00:50:03.4495534Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4495806Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 182, in propagate
2025-10-10T00:50:03.4496163Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4496739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4497215Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4497651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4498075Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4498494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4498917Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4499335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4499728Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4500120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-10-10T00:50:03.4500510Z     return out / broadcast(count, out, dim)
2025-10-10T00:50:03.4500664Z 
2025-10-10T00:50:03.4500776Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4501173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4501542Z     return mod(*inputs)
2025-10-10T00:50:03.4501917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4502328Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4502593Z   File "/tmp/jenkins_pyg/tmpchnnhxav.py", line 229, in forward
2025-10-10T00:50:03.4502857Z     out = self.lin_l(out)
2025-10-10T00:50:03.4503223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:50:03.4503637Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:50:03.4503800Z 
2025-10-10T00:50:03.4503914Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4504304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4504650Z     return mod(*inputs)
2025-10-10T00:50:03.4505025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-10-10T00:50:03.4505420Z     x = self.act(x)
2025-10-10T00:50:03.4505523Z 
2025-10-10T00:50:03.4505622Z cudagraph partition due to non gpu ops
2025-10-10T00:50:03.4505881Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4506321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4506675Z     return mod(*inputs)
2025-10-10T00:50:03.4507046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4507454Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4507697Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 228, in forward
2025-10-10T00:50:03.4507979Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4508305Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 180, in propagate
2025-10-10T00:50:03.4508602Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-10-10T00:50:03.4508895Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 127, in _collect
2025-10-10T00:50:03.4509144Z     x_j = self._lift(x_j, edge_def, j)
2025-10-10T00:50:03.4509393Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 87, in _lift
2025-10-10T00:50:03.4509666Z     return src.index_select(self.node_dim, index)
2025-10-10T00:50:03.4509820Z 
2025-10-10T00:50:03.4509909Z cudagraph partition due to non gpu ops
2025-10-10T00:50:03.4510126Z cudagraph partition due to non gpu ops
2025-10-10T00:50:03.4510373Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4511482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4511836Z     return mod(*inputs)
2025-10-10T00:50:03.4512198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4512609Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4512872Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 228, in forward
2025-10-10T00:50:03.4513156Z     out = self.propagate(edge_index, x=x, size=size)
2025-10-10T00:50:03.4513455Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 182, in propagate
2025-10-10T00:50:03.4513805Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-10-10T00:50:03.4514314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:50:03.4514779Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:50:03.4515216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:50:03.4515643Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:50:03.4516055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-10-10T00:50:03.4516488Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-10-10T00:50:03.4516909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:50:03.4517297Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:50:03.4517689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-10-10T00:50:03.4518082Z     return out / broadcast(count, out, dim)
2025-10-10T00:50:03.4518232Z 
2025-10-10T00:50:03.4518341Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4518721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4519070Z     return mod(*inputs)
2025-10-10T00:50:03.4519426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:50:03.4519820Z     x = self.convs[i](x, edge_index)
2025-10-10T00:50:03.4520069Z   File "/tmp/jenkins_pyg/tmpu17_ix6f.py", line 229, in forward
2025-10-10T00:50:03.4520320Z     out = self.lin_l(out)
2025-10-10T00:50:03.4520672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:50:03.4521073Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:50:03.4521232Z 
2025-10-10T00:50:03.4521342Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:03.4521715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:03.4522061Z     return mod(*inputs)
2025-10-10T00:50:03.4522412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-10-10T00:50:03.4522807Z     x = self.act(x)
2025-10-10T00:50:03.4522959Z 
2025-10-10T00:50:03.4523048Z cudagraph partition due to non gpu ops
2025-10-10T00:50:11.8443677Z Compilation time (from dynamo_timed): 9.708445109
2025-10-10T00:50:11.8447967Z pass
2025-10-10T00:50:11.8453092Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:11.8458470Z TIMING: _recursive_pre_grad_passes:0.00465 _recursive_joint_graph_passes:0.14516 _recursive_post_grad_passes:0.03348 async_compile.wait:0.51683 code_gen:8.29728 inductor_compile:8.42265 backend_compile:9.38569 gc:0.00054 entire_frame_compile:9.70845 total_wall_time:9.70845
2025-10-10T00:50:11.8460198Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:933 | FakeTensor.__torch_dispatch__:273 | ProxyTorchDispatchMode.__torch_dispatch__:222
2025-10-10T00:50:11.8460762Z Dynamo produced 1 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-10-10T00:50:13.7098965Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:50:13.7099894Z   import pynvml  # type: ignore[import]
2025-10-10T00:50:15.9152701Z 
2025-10-10T00:50:16.1455555Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:16.1456051Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:16.1457759Z cpu  eval  dcgan                              
2025-10-10T00:50:16.1623780Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:16.1706066Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:16.1759395Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:18.7717642Z cudagraph partition due to non gpu ops
2025-10-10T00:50:18.7718001Z cudagraph partition due to non gpu ops
2025-10-10T00:50:18.7718267Z cudagraph partition due to non gpu ops
2025-10-10T00:50:18.7718485Z cudagraph partition due to non gpu ops
2025-10-10T00:50:18.7718704Z cudagraph partition due to non gpu ops
2025-10-10T00:50:18.7718954Z cudagraph partition due to non gpu ops
2025-10-10T00:50:18.7719336Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:18.7719760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:18.7720114Z     return mod(*inputs)
2025-10-10T00:50:18.7720424Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:50:18.7720751Z     return self.main(input)
2025-10-10T00:50:18.7720878Z 
2025-10-10T00:50:18.7721014Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:18.7721460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:18.7721801Z     return mod(*inputs)
2025-10-10T00:50:18.7722105Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:50:18.7722428Z     return self.main(input)
2025-10-10T00:50:18.7722547Z 
2025-10-10T00:50:18.7722664Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:18.7723045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:18.7723392Z     return mod(*inputs)
2025-10-10T00:50:18.7723677Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:50:18.7724043Z     return self.main(input)
2025-10-10T00:50:18.7724157Z 
2025-10-10T00:50:18.7724270Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:18.7724656Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:18.7724995Z     return mod(*inputs)
2025-10-10T00:50:18.7725275Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:50:18.7725987Z     return self.main(input)
2025-10-10T00:50:18.7726100Z 
2025-10-10T00:50:18.7726203Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:18.7726555Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:18.7726875Z     return mod(*inputs)
2025-10-10T00:50:18.7727134Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:50:18.7727415Z     return self.main(input)
2025-10-10T00:50:18.7727532Z 
2025-10-10T00:50:18.7727633Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:18.7727987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:18.7728403Z     return mod(*inputs)
2025-10-10T00:50:18.7728667Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:50:18.7728942Z     return self.main(input)
2025-10-10T00:50:18.7729056Z 
2025-10-10T00:50:18.7729162Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:18.7729509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:50:18.7729826Z     return mod(*inputs)
2025-10-10T00:50:18.7730098Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-10-10T00:50:18.7730403Z     return self.main(input)
2025-10-10T00:50:18.7730526Z 
2025-10-10T00:50:27.7117559Z Compilation time (from dynamo_timed): 10.555455404
2025-10-10T00:50:27.7117874Z pass
2025-10-10T00:50:27.7124084Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:27.7125055Z TIMING: _recursive_pre_grad_passes:0.00362 _recursive_joint_graph_passes:0.13059 _recursive_post_grad_passes:0.02001 async_compile.wait:0.71449 code_gen:8.91622 inductor_compile:9.27039 backend_compile:10.2182 gc:0.0014 entire_frame_compile:10.55546 total_wall_time:10.55546
2025-10-10T00:50:27.7126075Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:828 | FakeTensor.__torch_dispatch__:371 | ProxyTorchDispatchMode.__torch_dispatch__:192
2025-10-10T00:50:27.7126628Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-10-10T00:50:29.5060710Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:50:29.5061712Z   import pynvml  # type: ignore[import]
2025-10-10T00:50:31.7117840Z 
2025-10-10T00:50:33.5519767Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:33.5521357Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:50:33.5522337Z cpu  eval  demucs                             
2025-10-10T00:50:34.7902432Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:35.3883068Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:35.9846258Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:38.6871716Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:38.6874979Z    File "/torchbench/torchbenchmark/models/demucs/__init__.py", line 32, in forward
2025-10-10T00:50:38.6879617Z     mix = sources.sum(dim=1)
2025-10-10T00:50:38.6884756Z 
2025-10-10T00:50:47.5719803Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5724339Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5724791Z     x = encode(x)
2025-10-10T00:50:47.5724898Z 
2025-10-10T00:50:47.5725062Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5725423Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5726183Z     x = encode(x)
2025-10-10T00:50:47.5726283Z 
2025-10-10T00:50:47.5726401Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5726741Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5727045Z     x = encode(x)
2025-10-10T00:50:47.5727147Z 
2025-10-10T00:50:47.5727251Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5727592Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5727889Z     x = encode(x)
2025-10-10T00:50:47.5727981Z 
2025-10-10T00:50:47.5728084Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5728538Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5728863Z     x = encode(x)
2025-10-10T00:50:47.5728958Z 
2025-10-10T00:50:47.5729074Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5729421Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5729749Z     x = encode(x)
2025-10-10T00:50:47.5729852Z 
2025-10-10T00:50:47.5729960Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5730325Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5730646Z     x = encode(x)
2025-10-10T00:50:47.5730741Z 
2025-10-10T00:50:47.5730845Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5731196Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5731620Z     x = encode(x)
2025-10-10T00:50:47.5731721Z 
2025-10-10T00:50:47.5731838Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5732194Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5732518Z     x = encode(x)
2025-10-10T00:50:47.5732619Z 
2025-10-10T00:50:47.5732727Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5733094Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5733416Z     x = encode(x)
2025-10-10T00:50:47.5733520Z 
2025-10-10T00:50:47.5733711Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5734081Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5734397Z     x = encode(x)
2025-10-10T00:50:47.5734489Z 
2025-10-10T00:50:47.5734600Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5734949Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5735269Z     x = encode(x)
2025-10-10T00:50:47.5735366Z 
2025-10-10T00:50:47.5735478Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5735826Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5736142Z     x = encode(x)
2025-10-10T00:50:47.5736240Z 
2025-10-10T00:50:47.5736343Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5736705Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5737019Z     x = encode(x)
2025-10-10T00:50:47.5737110Z 
2025-10-10T00:50:47.5737220Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5737568Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5737882Z     x = encode(x)
2025-10-10T00:50:47.5737981Z 
2025-10-10T00:50:47.5738085Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5738431Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5738751Z     x = encode(x)
2025-10-10T00:50:47.5738844Z 
2025-10-10T00:50:47.5738948Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5739303Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5739686Z     x = encode(x)
2025-10-10T00:50:47.5739777Z 
2025-10-10T00:50:47.5739889Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5740237Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5740556Z     x = encode(x)
2025-10-10T00:50:47.5740656Z 
2025-10-10T00:50:47.5740763Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5741130Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5741447Z     x = encode(x)
2025-10-10T00:50:47.5741540Z 
2025-10-10T00:50:47.5741645Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5742040Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5742358Z     x = encode(x)
2025-10-10T00:50:47.5742450Z 
2025-10-10T00:50:47.5742561Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5742908Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5743224Z     x = encode(x)
2025-10-10T00:50:47.5743323Z 
2025-10-10T00:50:47.5743428Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5743780Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5744082Z     x = encode(x)
2025-10-10T00:50:47.5744174Z 
2025-10-10T00:50:47.5744278Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5744619Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5744926Z     x = encode(x)
2025-10-10T00:50:47.5745019Z 
2025-10-10T00:50:47.5745134Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:47.5745468Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-10-10T00:50:47.5745780Z     x = encode(x)
2025-10-10T00:50:47.5745881Z 
2025-10-10T00:50:49.4950720Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4954616Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4955128Z     x = x + skip
2025-10-10T00:50:49.4955254Z 
2025-10-10T00:50:49.4955433Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4955884Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4956285Z     x = decode(x)
2025-10-10T00:50:49.4956391Z 
2025-10-10T00:50:49.4956511Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4956981Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4957384Z     x = decode(x)
2025-10-10T00:50:49.4957499Z 
2025-10-10T00:50:49.4957615Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4958152Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4958572Z     x = decode(x)
2025-10-10T00:50:49.4958678Z 
2025-10-10T00:50:49.4958797Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4959259Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4959659Z     x = x + skip
2025-10-10T00:50:49.4959758Z 
2025-10-10T00:50:49.4959870Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4960315Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4960705Z     x = decode(x)
2025-10-10T00:50:49.4960802Z 
2025-10-10T00:50:49.4960906Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4961350Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4962150Z     x = decode(x)
2025-10-10T00:50:49.4962243Z 
2025-10-10T00:50:49.4962344Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4962790Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4963177Z     x = decode(x)
2025-10-10T00:50:49.4963271Z 
2025-10-10T00:50:49.4963386Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4963836Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4964211Z     x = x + skip
2025-10-10T00:50:49.4964313Z 
2025-10-10T00:50:49.4965163Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4965563Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4965916Z     x = decode(x)
2025-10-10T00:50:49.4966009Z 
2025-10-10T00:50:49.4966117Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4966622Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4966984Z     x = decode(x)
2025-10-10T00:50:49.4967079Z 
2025-10-10T00:50:49.4967179Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4967574Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4967921Z     x = decode(x)
2025-10-10T00:50:49.4968018Z 
2025-10-10T00:50:49.4968119Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4968552Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4968907Z     x = x + skip
2025-10-10T00:50:49.4969005Z 
2025-10-10T00:50:49.4969104Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4969500Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4969856Z     x = decode(x)
2025-10-10T00:50:49.4969944Z 
2025-10-10T00:50:49.4970051Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4970438Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4970784Z     x = decode(x)
2025-10-10T00:50:49.4970878Z 
2025-10-10T00:50:49.4970973Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4971355Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4971704Z     x = decode(x)
2025-10-10T00:50:49.4971790Z 
2025-10-10T00:50:49.4971906Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4972285Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4972632Z     x = x + skip
2025-10-10T00:50:49.4972721Z 
2025-10-10T00:50:49.4972825Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4973205Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4973546Z     x = decode(x)
2025-10-10T00:50:49.4973639Z 
2025-10-10T00:50:49.4973735Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4974116Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4974458Z     x = decode(x)
2025-10-10T00:50:49.4974544Z 
2025-10-10T00:50:49.4974650Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4975023Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4975365Z     x = decode(x)
2025-10-10T00:50:49.4975500Z 
2025-10-10T00:50:49.4975602Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4976080Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4976433Z     x = x + skip
2025-10-10T00:50:49.4976531Z 
2025-10-10T00:50:49.4976631Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4977022Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4977382Z     x = decode(x)
2025-10-10T00:50:49.4977472Z 
2025-10-10T00:50:49.4977578Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4978002Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4978363Z     x = decode(x)
2025-10-10T00:50:49.4978459Z 
2025-10-10T00:50:49.4978559Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:49.4978953Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-10-10T00:50:49.4979305Z     x = decode(x)
2025-10-10T00:50:49.4979393Z 
2025-10-10T00:50:51.0700855Z Compilation time (from dynamo_timed): 13.519496625
2025-10-10T00:50:51.0733596Z pass
2025-10-10T00:50:51.0734761Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:51.0735830Z TIMING: gc:0.00354 entire_frame_compile:13.5195 _recursive_pre_grad_passes:0.00492 _recursive_joint_graph_passes:0.34592 _recursive_post_grad_passes:0.02199 async_compile.wait:1.76887 code_gen:10.09697 inductor_compile:10.465 backend_compile:11.81674 total_wall_time:13.5195
2025-10-10T00:50:51.0737097Z STATS: call_* op count: 62 | FakeTensorMode.__torch_dispatch__:2163 | ProxyTorchDispatchMode.__torch_dispatch__:190 | FakeTensor.__torch_dispatch__:383
2025-10-10T00:50:51.0740861Z Dynamo produced 3 graphs covering 62 ops with 3 graph breaks (1 unique)
2025-10-10T00:50:52.9402563Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:50:52.9403992Z   import pynvml  # type: ignore[import]
2025-10-10T00:50:55.1884191Z 
2025-10-10T00:50:55.4097547Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/densenet121-a639ec97.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/densenet121-a639ec97.pth
2025-10-10T00:50:55.4247761Z 
2025-10-10T00:50:55.4252505Z 
2025-10-10T00:50:55.5018358Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-10-10T00:50:55.5018675Z 100% 30.8M/30.8M [00:00<00:00, 419MB/s]
2025-10-10T00:50:55.8583090Z 
2025-10-10T00:50:55.8583972Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:55.8617610Z cpu  eval  densenet121                        
2025-10-10T00:50:56.3740238Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:56.5515252Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:56.7046399Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:15.8519977Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8520296Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8520519Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8520752Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8520980Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8521297Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8521571Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8521808Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8522035Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8523564Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8523787Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8524044Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8524267Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8524494Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8524714Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8524970Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8525197Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8525415Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8525634Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8525845Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8526182Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8526402Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8526621Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8526833Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8527068Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8527285Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8527510Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8527741Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8527962Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8528179Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8528404Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8528626Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8528857Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8529096Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8529338Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8529555Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8529779Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8529998Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8530233Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8530457Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8530673Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8530887Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8531102Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8531318Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8531527Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8531741Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8531954Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8532169Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8532377Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8532595Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8532812Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8540780Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8541098Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8541443Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8541773Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8542101Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8543060Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8543567Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8544219Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8544523Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8544809Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8545246Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8545677Z     return mod(*inputs)
2025-10-10T00:51:15.8546358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8546828Z     features = self.features(x)
2025-10-10T00:51:15.8546977Z 
2025-10-10T00:51:15.8547103Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8547526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8548063Z     return mod(*inputs)
2025-10-10T00:51:15.8548439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8548839Z     features = self.features(x)
2025-10-10T00:51:15.8548978Z 
2025-10-10T00:51:15.8549094Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8549490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8549852Z     return mod(*inputs)
2025-10-10T00:51:15.8550213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8550661Z     features = self.features(x)
2025-10-10T00:51:15.8550791Z 
2025-10-10T00:51:15.8550912Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8551311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8551669Z     return mod(*inputs)
2025-10-10T00:51:15.8552030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8552416Z     features = self.features(x)
2025-10-10T00:51:15.8552852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8553253Z     new_features = layer(features)
2025-10-10T00:51:15.8553647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8554075Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8554531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8555055Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8555308Z 
2025-10-10T00:51:15.8555426Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8555829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8556189Z     return mod(*inputs)
2025-10-10T00:51:15.8556548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8556947Z     features = self.features(x)
2025-10-10T00:51:15.8557311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8557705Z     new_features = layer(features)
2025-10-10T00:51:15.8558091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8558551Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8558766Z 
2025-10-10T00:51:15.8558888Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8559285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8559635Z     return mod(*inputs)
2025-10-10T00:51:15.8559993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8560375Z     features = self.features(x)
2025-10-10T00:51:15.8560737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8561123Z     new_features = layer(features)
2025-10-10T00:51:15.8561502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8561965Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8575009Z 
2025-10-10T00:51:15.8575230Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8575684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8576191Z     return mod(*inputs)
2025-10-10T00:51:15.8576604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8577023Z     features = self.features(x)
2025-10-10T00:51:15.8577417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8577811Z     new_features = layer(features)
2025-10-10T00:51:15.8578210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8578648Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8579160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8579594Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8579755Z 
2025-10-10T00:51:15.8579878Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8580288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8580655Z     return mod(*inputs)
2025-10-10T00:51:15.8581024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8581416Z     features = self.features(x)
2025-10-10T00:51:15.8581785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8582175Z     new_features = layer(features)
2025-10-10T00:51:15.8582560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8582984Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8583405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8583919Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8584176Z 
2025-10-10T00:51:15.8584293Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8584692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8585051Z     return mod(*inputs)
2025-10-10T00:51:15.8585398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8585791Z     features = self.features(x)
2025-10-10T00:51:15.8586257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8586668Z     new_features = layer(features)
2025-10-10T00:51:15.8587056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8587481Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8587931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8588428Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8588669Z 
2025-10-10T00:51:15.8588792Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8589178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8589517Z     return mod(*inputs)
2025-10-10T00:51:15.8589870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8590252Z     features = self.features(x)
2025-10-10T00:51:15.8590618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8591284Z     new_features = layer(features)
2025-10-10T00:51:15.8591808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8592261Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8592474Z 
2025-10-10T00:51:15.8592598Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8593002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8593349Z     return mod(*inputs)
2025-10-10T00:51:15.8593715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8594109Z     features = self.features(x)
2025-10-10T00:51:15.8594547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8594928Z     new_features = layer(features)
2025-10-10T00:51:15.8595309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8595769Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8595980Z 
2025-10-10T00:51:15.8596102Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8596491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8596861Z     return mod(*inputs)
2025-10-10T00:51:15.8597223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8597614Z     features = self.features(x)
2025-10-10T00:51:15.8597990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8598379Z     new_features = layer(features)
2025-10-10T00:51:15.8598748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8599171Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8599603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8600025Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8600186Z 
2025-10-10T00:51:15.8600299Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8600699Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8601059Z     return mod(*inputs)
2025-10-10T00:51:15.8601426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8601813Z     features = self.features(x)
2025-10-10T00:51:15.8602184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8602568Z     new_features = layer(features)
2025-10-10T00:51:15.8602946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8603364Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8603798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8604301Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8604552Z 
2025-10-10T00:51:15.8604665Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8605072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8605441Z     return mod(*inputs)
2025-10-10T00:51:15.8605788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8606178Z     features = self.features(x)
2025-10-10T00:51:15.8606553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8606986Z     new_features = layer(features)
2025-10-10T00:51:15.8607353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8607765Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8608200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8608696Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8608937Z 
2025-10-10T00:51:15.8609057Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8609490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8609849Z     return mod(*inputs)
2025-10-10T00:51:15.8610204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8610594Z     features = self.features(x)
2025-10-10T00:51:15.8610953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8611340Z     new_features = layer(features)
2025-10-10T00:51:15.8611716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8612172Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8612380Z 
2025-10-10T00:51:15.8612501Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8612879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8613255Z     return mod(*inputs)
2025-10-10T00:51:15.8613607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8613992Z     features = self.features(x)
2025-10-10T00:51:15.8614368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8614745Z     new_features = layer(features)
2025-10-10T00:51:15.8615115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8615563Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8615771Z 
2025-10-10T00:51:15.8615891Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8616274Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8616646Z     return mod(*inputs)
2025-10-10T00:51:15.8617004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8617392Z     features = self.features(x)
2025-10-10T00:51:15.8617764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8618148Z     new_features = layer(features)
2025-10-10T00:51:15.8618520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8618944Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8619373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8619792Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8619946Z 
2025-10-10T00:51:15.8620060Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8620454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8620809Z     return mod(*inputs)
2025-10-10T00:51:15.8621164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8622316Z     features = self.features(x)
2025-10-10T00:51:15.8622686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8623076Z     new_features = layer(features)
2025-10-10T00:51:15.8623457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8623877Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8624299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8624800Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8625100Z 
2025-10-10T00:51:15.8625215Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8625607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8625966Z     return mod(*inputs)
2025-10-10T00:51:15.8626524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8626922Z     features = self.features(x)
2025-10-10T00:51:15.8627318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8627710Z     new_features = layer(features)
2025-10-10T00:51:15.8628082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8628509Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8628938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8629437Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8629685Z 
2025-10-10T00:51:15.8629805Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8630195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8630551Z     return mod(*inputs)
2025-10-10T00:51:15.8630906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8631294Z     features = self.features(x)
2025-10-10T00:51:15.8631667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8632056Z     new_features = layer(features)
2025-10-10T00:51:15.8632435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8632894Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8633100Z 
2025-10-10T00:51:15.8633224Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8633620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8633973Z     return mod(*inputs)
2025-10-10T00:51:15.8634329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8634716Z     features = self.features(x)
2025-10-10T00:51:15.8635090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8635977Z     new_features = layer(features)
2025-10-10T00:51:15.8636362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8636821Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8637030Z 
2025-10-10T00:51:15.8637151Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8637542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8637953Z     return mod(*inputs)
2025-10-10T00:51:15.8638312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8638699Z     features = self.features(x)
2025-10-10T00:51:15.8639074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8639460Z     new_features = layer(features)
2025-10-10T00:51:15.8639850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8640284Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8640757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8641174Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8641329Z 
2025-10-10T00:51:15.8641440Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8641835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8642185Z     return mod(*inputs)
2025-10-10T00:51:15.8642539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8642921Z     features = self.features(x)
2025-10-10T00:51:15.8643295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8643683Z     new_features = layer(features)
2025-10-10T00:51:15.8644066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8644494Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8644910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8645417Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8645670Z 
2025-10-10T00:51:15.8645782Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8646182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8646530Z     return mod(*inputs)
2025-10-10T00:51:15.8646873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8647260Z     features = self.features(x)
2025-10-10T00:51:15.8647629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8648017Z     new_features = layer(features)
2025-10-10T00:51:15.8648388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8648804Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8649232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8649729Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8649972Z 
2025-10-10T00:51:15.8650090Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8650473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8650822Z     return mod(*inputs)
2025-10-10T00:51:15.8651176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8651561Z     features = self.features(x)
2025-10-10T00:51:15.8651930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8652308Z     new_features = layer(features)
2025-10-10T00:51:15.8652685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8653171Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8653379Z 
2025-10-10T00:51:15.8653500Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8653891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8654236Z     return mod(*inputs)
2025-10-10T00:51:15.8654587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8654974Z     features = self.features(x)
2025-10-10T00:51:15.8655382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8655765Z     new_features = layer(features)
2025-10-10T00:51:15.8656144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8656600Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8656814Z 
2025-10-10T00:51:15.8656931Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8657307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8657636Z     return mod(*inputs)
2025-10-10T00:51:15.8657979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8658359Z     features = self.features(x)
2025-10-10T00:51:15.8658728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8659113Z     new_features = layer(features)
2025-10-10T00:51:15.8659479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8659891Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8660320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8660732Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8660881Z 
2025-10-10T00:51:15.8660993Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8661380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8661729Z     return mod(*inputs)
2025-10-10T00:51:15.8662081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8662465Z     features = self.features(x)
2025-10-10T00:51:15.8662831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8663222Z     new_features = layer(features)
2025-10-10T00:51:15.8663597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8664014Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8664428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8664927Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8665174Z 
2025-10-10T00:51:15.8665285Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8665674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8666023Z     return mod(*inputs)
2025-10-10T00:51:15.8666471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8666864Z     features = self.features(x)
2025-10-10T00:51:15.8667237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8667677Z     new_features = layer(features)
2025-10-10T00:51:15.8668052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8668456Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8668877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8669369Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8669613Z 
2025-10-10T00:51:15.8669734Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8670164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8670513Z     return mod(*inputs)
2025-10-10T00:51:15.8670870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8671258Z     features = self.features(x)
2025-10-10T00:51:15.8671628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8672012Z     new_features = layer(features)
2025-10-10T00:51:15.8672394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8672855Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8673067Z 
2025-10-10T00:51:15.8673189Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8673585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8673935Z     return mod(*inputs)
2025-10-10T00:51:15.8674288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8674674Z     features = self.features(x)
2025-10-10T00:51:15.8675047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8675423Z     new_features = layer(features)
2025-10-10T00:51:15.8675798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8676245Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8676449Z 
2025-10-10T00:51:15.8676549Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8676814Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8677195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8677549Z     return mod(*inputs)
2025-10-10T00:51:15.8677902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8678283Z     features = self.features(x)
2025-10-10T00:51:15.8678650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-10-10T00:51:15.8679036Z     return torch.cat(features, 1)
2025-10-10T00:51:15.8679178Z 
2025-10-10T00:51:15.8679291Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8679684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8680036Z     return mod(*inputs)
2025-10-10T00:51:15.8680382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8680776Z     features = self.features(x)
2025-10-10T00:51:15.8680907Z 
2025-10-10T00:51:15.8681019Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8681396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8681737Z     return mod(*inputs)
2025-10-10T00:51:15.8682072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8682503Z     features = self.features(x)
2025-10-10T00:51:15.8682625Z 
2025-10-10T00:51:15.8682740Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8683113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8683450Z     return mod(*inputs)
2025-10-10T00:51:15.8683798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8684181Z     features = self.features(x)
2025-10-10T00:51:15.8684587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8684975Z     new_features = layer(features)
2025-10-10T00:51:15.8685353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8685774Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8686207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8686703Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8686949Z 
2025-10-10T00:51:15.8687059Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8687447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8687841Z     return mod(*inputs)
2025-10-10T00:51:15.8688187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8688563Z     features = self.features(x)
2025-10-10T00:51:15.8688967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8689348Z     new_features = layer(features)
2025-10-10T00:51:15.8689716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8690153Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8690355Z 
2025-10-10T00:51:15.8690474Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8690853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8691334Z     return mod(*inputs)
2025-10-10T00:51:15.8691684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8692062Z     features = self.features(x)
2025-10-10T00:51:15.8692422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8692819Z     new_features = layer(features)
2025-10-10T00:51:15.8693200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8693653Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8693855Z 
2025-10-10T00:51:15.8693971Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8694342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8694682Z     return mod(*inputs)
2025-10-10T00:51:15.8695022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8695399Z     features = self.features(x)
2025-10-10T00:51:15.8695752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8696128Z     new_features = layer(features)
2025-10-10T00:51:15.8696496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8697007Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8697426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8697826Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8697986Z 
2025-10-10T00:51:15.8698095Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8698473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8698814Z     return mod(*inputs)
2025-10-10T00:51:15.8699162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8699589Z     features = self.features(x)
2025-10-10T00:51:15.8699969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8700340Z     new_features = layer(features)
2025-10-10T00:51:15.8700705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8701103Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8701506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8701993Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8702235Z 
2025-10-10T00:51:15.8702343Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8702719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8703058Z     return mod(*inputs)
2025-10-10T00:51:15.8703396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8703769Z     features = self.features(x)
2025-10-10T00:51:15.8704126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8704504Z     new_features = layer(features)
2025-10-10T00:51:15.8704861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8705263Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8705671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8706226Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8706473Z 
2025-10-10T00:51:15.8706593Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8706973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8707319Z     return mod(*inputs)
2025-10-10T00:51:15.8707667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8708053Z     features = self.features(x)
2025-10-10T00:51:15.8708423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8708801Z     new_features = layer(features)
2025-10-10T00:51:15.8709174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8709625Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8709834Z 
2025-10-10T00:51:15.8709954Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8710342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8710685Z     return mod(*inputs)
2025-10-10T00:51:15.8711037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8711464Z     features = self.features(x)
2025-10-10T00:51:15.8711828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8712203Z     new_features = layer(features)
2025-10-10T00:51:15.8712580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8713030Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8713233Z 
2025-10-10T00:51:15.8713352Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8713734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8714112Z     return mod(*inputs)
2025-10-10T00:51:15.8714466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8714848Z     features = self.features(x)
2025-10-10T00:51:15.8715219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8715596Z     new_features = layer(features)
2025-10-10T00:51:15.8715974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8716387Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8716809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8717214Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8717365Z 
2025-10-10T00:51:15.8717474Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8717862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8718207Z     return mod(*inputs)
2025-10-10T00:51:15.8718554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8718935Z     features = self.features(x)
2025-10-10T00:51:15.8719295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8719684Z     new_features = layer(features)
2025-10-10T00:51:15.8720057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8720480Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8720890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8721386Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8721639Z 
2025-10-10T00:51:15.8721750Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8722135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8722484Z     return mod(*inputs)
2025-10-10T00:51:15.8722826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8723210Z     features = self.features(x)
2025-10-10T00:51:15.8723578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8723961Z     new_features = layer(features)
2025-10-10T00:51:15.8724323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8724737Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8725158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8725652Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8725936Z 
2025-10-10T00:51:15.8726056Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8726445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8726810Z     return mod(*inputs)
2025-10-10T00:51:15.8727171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8727562Z     features = self.features(x)
2025-10-10T00:51:15.8727941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8728328Z     new_features = layer(features)
2025-10-10T00:51:15.8728779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8729233Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8729437Z 
2025-10-10T00:51:15.8729557Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8729960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8730313Z     return mod(*inputs)
2025-10-10T00:51:15.8730664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8731056Z     features = self.features(x)
2025-10-10T00:51:15.8731427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8731806Z     new_features = layer(features)
2025-10-10T00:51:15.8732229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8732683Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8732888Z 
2025-10-10T00:51:15.8733010Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8733413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8733759Z     return mod(*inputs)
2025-10-10T00:51:15.8734114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8734501Z     features = self.features(x)
2025-10-10T00:51:15.8734869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8735247Z     new_features = layer(features)
2025-10-10T00:51:15.8735625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8736053Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8736474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8736875Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8737024Z 
2025-10-10T00:51:15.8737139Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8737515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8737859Z     return mod(*inputs)
2025-10-10T00:51:15.8738202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8738569Z     features = self.features(x)
2025-10-10T00:51:15.8738927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8739300Z     new_features = layer(features)
2025-10-10T00:51:15.8739668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8740072Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8740481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8741025Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8741274Z 
2025-10-10T00:51:15.8741387Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8741775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8742147Z     return mod(*inputs)
2025-10-10T00:51:15.8742496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8742885Z     features = self.features(x)
2025-10-10T00:51:15.8743258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8743685Z     new_features = layer(features)
2025-10-10T00:51:15.8744054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8744474Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8744894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8745385Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8745624Z 
2025-10-10T00:51:15.8745744Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8746197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8746566Z     return mod(*inputs)
2025-10-10T00:51:15.8746920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8747314Z     features = self.features(x)
2025-10-10T00:51:15.8747687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8748067Z     new_features = layer(features)
2025-10-10T00:51:15.8748448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8748905Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8749111Z 
2025-10-10T00:51:15.8749238Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8749623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8749972Z     return mod(*inputs)
2025-10-10T00:51:15.8750333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8750707Z     features = self.features(x)
2025-10-10T00:51:15.8751066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8751436Z     new_features = layer(features)
2025-10-10T00:51:15.8751802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8752245Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8752448Z 
2025-10-10T00:51:15.8752564Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8752933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8753263Z     return mod(*inputs)
2025-10-10T00:51:15.8753610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8753981Z     features = self.features(x)
2025-10-10T00:51:15.8754343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8754710Z     new_features = layer(features)
2025-10-10T00:51:15.8755076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8755542Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8755961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8756362Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8756512Z 
2025-10-10T00:51:15.8756618Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8756994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8757332Z     return mod(*inputs)
2025-10-10T00:51:15.8757674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8758042Z     features = self.features(x)
2025-10-10T00:51:15.8758431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8758808Z     new_features = layer(features)
2025-10-10T00:51:15.8759169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8759574Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8759977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8760475Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8760718Z 
2025-10-10T00:51:15.8760827Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8761200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8761539Z     return mod(*inputs)
2025-10-10T00:51:15.8761875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8762250Z     features = self.features(x)
2025-10-10T00:51:15.8762608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8762985Z     new_features = layer(features)
2025-10-10T00:51:15.8763342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8763742Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8764151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8764628Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8764864Z 
2025-10-10T00:51:15.8764981Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8765355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8765700Z     return mod(*inputs)
2025-10-10T00:51:15.8766043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8766424Z     features = self.features(x)
2025-10-10T00:51:15.8766787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8767156Z     new_features = layer(features)
2025-10-10T00:51:15.8767524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8767969Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8768168Z 
2025-10-10T00:51:15.8768284Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8768674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8769031Z     return mod(*inputs)
2025-10-10T00:51:15.8769374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8769811Z     features = self.features(x)
2025-10-10T00:51:15.8770170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8770533Z     new_features = layer(features)
2025-10-10T00:51:15.8770908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8771342Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8771542Z 
2025-10-10T00:51:15.8771659Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8772048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8772382Z     return mod(*inputs)
2025-10-10T00:51:15.8772776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8773157Z     features = self.features(x)
2025-10-10T00:51:15.8773522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8773901Z     new_features = layer(features)
2025-10-10T00:51:15.8774271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8774674Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8775093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8775498Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8775646Z 
2025-10-10T00:51:15.8775756Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8776139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8776485Z     return mod(*inputs)
2025-10-10T00:51:15.8776829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8777203Z     features = self.features(x)
2025-10-10T00:51:15.8777562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8777941Z     new_features = layer(features)
2025-10-10T00:51:15.8778304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8778706Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8779112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8779596Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8779840Z 
2025-10-10T00:51:15.8779949Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8780327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8780669Z     return mod(*inputs)
2025-10-10T00:51:15.8781005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8781385Z     features = self.features(x)
2025-10-10T00:51:15.8781747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8782125Z     new_features = layer(features)
2025-10-10T00:51:15.8782491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8782920Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8783351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8783853Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8784098Z 
2025-10-10T00:51:15.8784267Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8784648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8784997Z     return mod(*inputs)
2025-10-10T00:51:15.8785345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8785727Z     features = self.features(x)
2025-10-10T00:51:15.8786167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8786557Z     new_features = layer(features)
2025-10-10T00:51:15.8786933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8787448Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8787658Z 
2025-10-10T00:51:15.8787779Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8788173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8788532Z     return mod(*inputs)
2025-10-10T00:51:15.8788890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8789280Z     features = self.features(x)
2025-10-10T00:51:15.8789649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8790034Z     new_features = layer(features)
2025-10-10T00:51:15.8790416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8791077Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8791302Z 
2025-10-10T00:51:15.8791424Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8791816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8792165Z     return mod(*inputs)
2025-10-10T00:51:15.8792519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8792911Z     features = self.features(x)
2025-10-10T00:51:15.8793285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8793664Z     new_features = layer(features)
2025-10-10T00:51:15.8794045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8794460Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8794890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8795302Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8795455Z 
2025-10-10T00:51:15.8795565Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8795956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8796302Z     return mod(*inputs)
2025-10-10T00:51:15.8796656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8797033Z     features = self.features(x)
2025-10-10T00:51:15.8797403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8797755Z     new_features = layer(features)
2025-10-10T00:51:15.8798114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8798517Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8798926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8799507Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8799753Z 
2025-10-10T00:51:15.8799861Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8800237Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8800577Z     return mod(*inputs)
2025-10-10T00:51:15.8800915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8801295Z     features = self.features(x)
2025-10-10T00:51:15.8801655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8802077Z     new_features = layer(features)
2025-10-10T00:51:15.8802418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8802801Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8803194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8803650Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8803872Z 
2025-10-10T00:51:15.8803981Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8804350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8804688Z     return mod(*inputs)
2025-10-10T00:51:15.8805029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8805401Z     features = self.features(x)
2025-10-10T00:51:15.8805757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8806125Z     new_features = layer(features)
2025-10-10T00:51:15.8806492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8806931Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8807132Z 
2025-10-10T00:51:15.8807248Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8807614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8807949Z     return mod(*inputs)
2025-10-10T00:51:15.8808287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8808660Z     features = self.features(x)
2025-10-10T00:51:15.8809023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8809388Z     new_features = layer(features)
2025-10-10T00:51:15.8809753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8810193Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8810393Z 
2025-10-10T00:51:15.8810517Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8810870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8811194Z     return mod(*inputs)
2025-10-10T00:51:15.8811533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8811902Z     features = self.features(x)
2025-10-10T00:51:15.8812235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8812596Z     new_features = layer(features)
2025-10-10T00:51:15.8812954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8813354Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8813813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8814210Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8814358Z 
2025-10-10T00:51:15.8814466Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8814842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8815179Z     return mod(*inputs)
2025-10-10T00:51:15.8815521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8815883Z     features = self.features(x)
2025-10-10T00:51:15.8816280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8816654Z     new_features = layer(features)
2025-10-10T00:51:15.8817017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8817418Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8817819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8818306Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8818548Z 
2025-10-10T00:51:15.8818655Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8819033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8819371Z     return mod(*inputs)
2025-10-10T00:51:15.8819710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8820085Z     features = self.features(x)
2025-10-10T00:51:15.8820439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8820815Z     new_features = layer(features)
2025-10-10T00:51:15.8821167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8821568Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8821976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8822461Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8822694Z 
2025-10-10T00:51:15.8822809Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8823177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8823517Z     return mod(*inputs)
2025-10-10T00:51:15.8823859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8824235Z     features = self.features(x)
2025-10-10T00:51:15.8824591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8824956Z     new_features = layer(features)
2025-10-10T00:51:15.8825319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8825753Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8825950Z 
2025-10-10T00:51:15.8826065Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8826514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8826860Z     return mod(*inputs)
2025-10-10T00:51:15.8827213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8827598Z     features = self.features(x)
2025-10-10T00:51:15.8828020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8828412Z     new_features = layer(features)
2025-10-10T00:51:15.8828784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8829234Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8829433Z 
2025-10-10T00:51:15.8829547Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8829924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8830266Z     return mod(*inputs)
2025-10-10T00:51:15.8830646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8831019Z     features = self.features(x)
2025-10-10T00:51:15.8831372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8831741Z     new_features = layer(features)
2025-10-10T00:51:15.8832111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8832514Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8832927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8833333Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8833479Z 
2025-10-10T00:51:15.8833587Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8833968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8834325Z     return mod(*inputs)
2025-10-10T00:51:15.8834668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8835039Z     features = self.features(x)
2025-10-10T00:51:15.8835398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8835778Z     new_features = layer(features)
2025-10-10T00:51:15.8836145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8836560Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8836964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8837454Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8837696Z 
2025-10-10T00:51:15.8837809Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8838187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8838531Z     return mod(*inputs)
2025-10-10T00:51:15.8838875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8839248Z     features = self.features(x)
2025-10-10T00:51:15.8839607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8839995Z     new_features = layer(features)
2025-10-10T00:51:15.8840367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8840769Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8841193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8841690Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8841930Z 
2025-10-10T00:51:15.8842048Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8842486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8842862Z     return mod(*inputs)
2025-10-10T00:51:15.8843217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8843610Z     features = self.features(x)
2025-10-10T00:51:15.8843974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8844350Z     new_features = layer(features)
2025-10-10T00:51:15.8844721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8845226Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8845436Z 
2025-10-10T00:51:15.8845555Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8845938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8846288Z     return mod(*inputs)
2025-10-10T00:51:15.8846639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8847018Z     features = self.features(x)
2025-10-10T00:51:15.8847381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8847754Z     new_features = layer(features)
2025-10-10T00:51:15.8848128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8848591Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8848800Z 
2025-10-10T00:51:15.8848919Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8849303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8849644Z     return mod(*inputs)
2025-10-10T00:51:15.8849991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8850371Z     features = self.features(x)
2025-10-10T00:51:15.8850734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8851111Z     new_features = layer(features)
2025-10-10T00:51:15.8851486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8851897Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8852323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8852729Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8852878Z 
2025-10-10T00:51:15.8852989Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8853379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8853734Z     return mod(*inputs)
2025-10-10T00:51:15.8854076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8854439Z     features = self.features(x)
2025-10-10T00:51:15.8854793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8855166Z     new_features = layer(features)
2025-10-10T00:51:15.8855530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8855931Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8856333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8856812Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8857110Z 
2025-10-10T00:51:15.8857220Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8857599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8857941Z     return mod(*inputs)
2025-10-10T00:51:15.8858279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8858659Z     features = self.features(x)
2025-10-10T00:51:15.8859017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8859400Z     new_features = layer(features)
2025-10-10T00:51:15.8859820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8860240Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8860669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8861170Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8861414Z 
2025-10-10T00:51:15.8861537Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8861917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8862264Z     return mod(*inputs)
2025-10-10T00:51:15.8862615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8862999Z     features = self.features(x)
2025-10-10T00:51:15.8863359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8863749Z     new_features = layer(features)
2025-10-10T00:51:15.8864133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8864605Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8864813Z 
2025-10-10T00:51:15.8864932Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8865317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8865690Z     return mod(*inputs)
2025-10-10T00:51:15.8866047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8866533Z     features = self.features(x)
2025-10-10T00:51:15.8866938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8867322Z     new_features = layer(features)
2025-10-10T00:51:15.8867704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8868158Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8868359Z 
2025-10-10T00:51:15.8868476Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8868849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8869190Z     return mod(*inputs)
2025-10-10T00:51:15.8869534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8869912Z     features = self.features(x)
2025-10-10T00:51:15.8870272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8870645Z     new_features = layer(features)
2025-10-10T00:51:15.8871029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8871433Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8871894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8872294Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8872440Z 
2025-10-10T00:51:15.8872547Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8872934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8873290Z     return mod(*inputs)
2025-10-10T00:51:15.8873631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8873996Z     features = self.features(x)
2025-10-10T00:51:15.8874389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8874766Z     new_features = layer(features)
2025-10-10T00:51:15.8875133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8875539Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8875940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8876419Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8876662Z 
2025-10-10T00:51:15.8876772Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8877153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8877501Z     return mod(*inputs)
2025-10-10T00:51:15.8877839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8878211Z     features = self.features(x)
2025-10-10T00:51:15.8878566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8878942Z     new_features = layer(features)
2025-10-10T00:51:15.8879296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8879695Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8880103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8880583Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8880817Z 
2025-10-10T00:51:15.8880935Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8881304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8881642Z     return mod(*inputs)
2025-10-10T00:51:15.8881979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8882355Z     features = self.features(x)
2025-10-10T00:51:15.8882701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8883074Z     new_features = layer(features)
2025-10-10T00:51:15.8883433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8883869Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8884068Z 
2025-10-10T00:51:15.8884183Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8884551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8884890Z     return mod(*inputs)
2025-10-10T00:51:15.8885235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8885610Z     features = self.features(x)
2025-10-10T00:51:15.8886023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8886387Z     new_features = layer(features)
2025-10-10T00:51:15.8886752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8887186Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8887385Z 
2025-10-10T00:51:15.8887499Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8887870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8888209Z     return mod(*inputs)
2025-10-10T00:51:15.8888593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8888970Z     features = self.features(x)
2025-10-10T00:51:15.8889330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8889711Z     new_features = layer(features)
2025-10-10T00:51:15.8890084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8890501Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8891137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8891557Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8891712Z 
2025-10-10T00:51:15.8891825Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8892215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8892572Z     return mod(*inputs)
2025-10-10T00:51:15.8892931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8893312Z     features = self.features(x)
2025-10-10T00:51:15.8893688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8894076Z     new_features = layer(features)
2025-10-10T00:51:15.8894451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8894863Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8895279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8895780Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8896031Z 
2025-10-10T00:51:15.8896146Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8896535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8896886Z     return mod(*inputs)
2025-10-10T00:51:15.8897236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8897622Z     features = self.features(x)
2025-10-10T00:51:15.8897990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8898378Z     new_features = layer(features)
2025-10-10T00:51:15.8898743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8899153Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8899572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8900068Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8900311Z 
2025-10-10T00:51:15.8900427Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8900912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8901283Z     return mod(*inputs)
2025-10-10T00:51:15.8901630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8902011Z     features = self.features(x)
2025-10-10T00:51:15.8902372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8902762Z     new_features = layer(features)
2025-10-10T00:51:15.8903142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8903668Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8903876Z 
2025-10-10T00:51:15.8903996Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8904377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8904728Z     return mod(*inputs)
2025-10-10T00:51:15.8905085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8905473Z     features = self.features(x)
2025-10-10T00:51:15.8905840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8906285Z     new_features = layer(features)
2025-10-10T00:51:15.8906667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8907129Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8907337Z 
2025-10-10T00:51:15.8907440Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8907671Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8907905Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8908135Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8908378Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8908599Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.8908857Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8909248Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8909603Z     return mod(*inputs)
2025-10-10T00:51:15.8909963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8910345Z     features = self.features(x)
2025-10-10T00:51:15.8910719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-10-10T00:51:15.8911114Z     return torch.cat(features, 1)
2025-10-10T00:51:15.8911252Z 
2025-10-10T00:51:15.8911380Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8911753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8912119Z     return mod(*inputs)
2025-10-10T00:51:15.8912466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8912847Z     features = self.features(x)
2025-10-10T00:51:15.8912969Z 
2025-10-10T00:51:15.8913086Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8913470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8913822Z     return mod(*inputs)
2025-10-10T00:51:15.8914166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8914546Z     features = self.features(x)
2025-10-10T00:51:15.8914668Z 
2025-10-10T00:51:15.8914774Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8915149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8915532Z     return mod(*inputs)
2025-10-10T00:51:15.8915871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8916243Z     features = self.features(x)
2025-10-10T00:51:15.8916588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8916959Z     new_features = layer(features)
2025-10-10T00:51:15.8917325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8917740Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8918200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8918685Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8918928Z 
2025-10-10T00:51:15.8919040Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8919427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8919776Z     return mod(*inputs)
2025-10-10T00:51:15.8920110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8920487Z     features = self.features(x)
2025-10-10T00:51:15.8920846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8921224Z     new_features = layer(features)
2025-10-10T00:51:15.8921594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8922025Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8922233Z 
2025-10-10T00:51:15.8922343Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8922723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8923061Z     return mod(*inputs)
2025-10-10T00:51:15.8923400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8923768Z     features = self.features(x)
2025-10-10T00:51:15.8924105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8924476Z     new_features = layer(features)
2025-10-10T00:51:15.8924841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8925262Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8925459Z 
2025-10-10T00:51:15.8925560Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8925913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8926241Z     return mod(*inputs)
2025-10-10T00:51:15.8926564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8926911Z     features = self.features(x)
2025-10-10T00:51:15.8927248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8927330Z     new_features = layer(features)
2025-10-10T00:51:15.8927548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8927649Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8927887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8927976Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8927980Z 
2025-10-10T00:51:15.8928127Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8928322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8928388Z     return mod(*inputs)
2025-10-10T00:51:15.8928614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8928684Z     features = self.features(x)
2025-10-10T00:51:15.8928907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8928980Z     new_features = layer(features)
2025-10-10T00:51:15.8929197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8929340Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8929570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8929747Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8929751Z 
2025-10-10T00:51:15.8929851Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8930048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8930112Z     return mod(*inputs)
2025-10-10T00:51:15.8930327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8930404Z     features = self.features(x)
2025-10-10T00:51:15.8930624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8930703Z     new_features = layer(features)
2025-10-10T00:51:15.8930917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8931016Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8931254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8931417Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8931420Z 
2025-10-10T00:51:15.8931527Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8931719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8931791Z     return mod(*inputs)
2025-10-10T00:51:15.8932008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8932077Z     features = self.features(x)
2025-10-10T00:51:15.8932302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8932372Z     new_features = layer(features)
2025-10-10T00:51:15.8932598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8932731Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8932735Z 
2025-10-10T00:51:15.8932842Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8933053Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8933121Z     return mod(*inputs)
2025-10-10T00:51:15.8933356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8933429Z     features = self.features(x)
2025-10-10T00:51:15.8933658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8933741Z     new_features = layer(features)
2025-10-10T00:51:15.8933967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8934146Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8934149Z 
2025-10-10T00:51:15.8934256Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8934463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8934531Z     return mod(*inputs)
2025-10-10T00:51:15.8934759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8934841Z     features = self.features(x)
2025-10-10T00:51:15.8935068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8935196Z     new_features = layer(features)
2025-10-10T00:51:15.8935426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8935534Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8935793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8935881Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8935884Z 
2025-10-10T00:51:15.8935993Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8936185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8936260Z     return mod(*inputs)
2025-10-10T00:51:15.8936481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8936554Z     features = self.features(x)
2025-10-10T00:51:15.8936783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8936857Z     new_features = layer(features)
2025-10-10T00:51:15.8937081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8937189Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8937418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8937591Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8937594Z 
2025-10-10T00:51:15.8937698Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8937899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8937968Z     return mod(*inputs)
2025-10-10T00:51:15.8938188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8938268Z     features = self.features(x)
2025-10-10T00:51:15.8938487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8938570Z     new_features = layer(features)
2025-10-10T00:51:15.8938788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8938900Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8939128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8939292Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8939295Z 
2025-10-10T00:51:15.8939407Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8939606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8939681Z     return mod(*inputs)
2025-10-10T00:51:15.8939901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8940012Z     features = self.features(x)
2025-10-10T00:51:15.8940254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8940327Z     new_features = layer(features)
2025-10-10T00:51:15.8940569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8940710Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8940713Z 
2025-10-10T00:51:15.8940828Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8941030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8941134Z     return mod(*inputs)
2025-10-10T00:51:15.8941377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8941451Z     features = self.features(x)
2025-10-10T00:51:15.8941692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8941766Z     new_features = layer(features)
2025-10-10T00:51:15.8941996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8942143Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8942147Z 
2025-10-10T00:51:15.8942255Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8942465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8942534Z     return mod(*inputs)
2025-10-10T00:51:15.8942769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8942848Z     features = self.features(x)
2025-10-10T00:51:15.8943080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8943165Z     new_features = layer(features)
2025-10-10T00:51:15.8943395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8943510Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8943751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8943840Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8943844Z 
2025-10-10T00:51:15.8943960Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8944164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8944239Z     return mod(*inputs)
2025-10-10T00:51:15.8944479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8944557Z     features = self.features(x)
2025-10-10T00:51:15.8944800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8944876Z     new_features = layer(features)
2025-10-10T00:51:15.8945119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8945228Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8945477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8945664Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8945671Z 
2025-10-10T00:51:15.8945782Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8946004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8946180Z     return mod(*inputs)
2025-10-10T00:51:15.8946431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8946507Z     features = self.features(x)
2025-10-10T00:51:15.8946742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8946846Z     new_features = layer(features)
2025-10-10T00:51:15.8947081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8947198Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8947484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8947665Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8947676Z 
2025-10-10T00:51:15.8947788Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8948002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8948093Z     return mod(*inputs)
2025-10-10T00:51:15.8948322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8948403Z     features = self.features(x)
2025-10-10T00:51:15.8948631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8948707Z     new_features = layer(features)
2025-10-10T00:51:15.8948941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8949082Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8949086Z 
2025-10-10T00:51:15.8949203Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8949411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8949479Z     return mod(*inputs)
2025-10-10T00:51:15.8949717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8949791Z     features = self.features(x)
2025-10-10T00:51:15.8950031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8950105Z     new_features = layer(features)
2025-10-10T00:51:15.8950340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8950482Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8950486Z 
2025-10-10T00:51:15.8950593Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8950806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8950878Z     return mod(*inputs)
2025-10-10T00:51:15.8951115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8951188Z     features = self.features(x)
2025-10-10T00:51:15.8951413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8951497Z     new_features = layer(features)
2025-10-10T00:51:15.8951735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8951851Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8952098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8952189Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8952200Z 
2025-10-10T00:51:15.8952306Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8952558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8952634Z     return mod(*inputs)
2025-10-10T00:51:15.8952864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8952944Z     features = self.features(x)
2025-10-10T00:51:15.8953173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8953247Z     new_features = layer(features)
2025-10-10T00:51:15.8953483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8953627Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8953893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8954068Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8954075Z 
2025-10-10T00:51:15.8954182Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8954406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8954474Z     return mod(*inputs)
2025-10-10T00:51:15.8954714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8954788Z     features = self.features(x)
2025-10-10T00:51:15.8955024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8955100Z     new_features = layer(features)
2025-10-10T00:51:15.8955342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8955457Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8955699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8955876Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8955880Z 
2025-10-10T00:51:15.8955984Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8956200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8956276Z     return mod(*inputs)
2025-10-10T00:51:15.8956504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8956586Z     features = self.features(x)
2025-10-10T00:51:15.8956816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8956891Z     new_features = layer(features)
2025-10-10T00:51:15.8957136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8957277Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8957280Z 
2025-10-10T00:51:15.8957395Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8957611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8957686Z     return mod(*inputs)
2025-10-10T00:51:15.8957916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8957988Z     features = self.features(x)
2025-10-10T00:51:15.8958228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8958301Z     new_features = layer(features)
2025-10-10T00:51:15.8958543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8958723Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8958727Z 
2025-10-10T00:51:15.8958837Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8959062Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8959133Z     return mod(*inputs)
2025-10-10T00:51:15.8959375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8959452Z     features = self.features(x)
2025-10-10T00:51:15.8959690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8959818Z     new_features = layer(features)
2025-10-10T00:51:15.8960050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8960161Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8960401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8960499Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8960503Z 
2025-10-10T00:51:15.8960609Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8960823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8960900Z     return mod(*inputs)
2025-10-10T00:51:15.8961131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8961212Z     features = self.features(x)
2025-10-10T00:51:15.8961442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8961515Z     new_features = layer(features)
2025-10-10T00:51:15.8961749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8961858Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8962106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8962281Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8962284Z 
2025-10-10T00:51:15.8962398Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8962603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8962671Z     return mod(*inputs)
2025-10-10T00:51:15.8962913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8962985Z     features = self.features(x)
2025-10-10T00:51:15.8963221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8963297Z     new_features = layer(features)
2025-10-10T00:51:15.8963523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8963638Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8963877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8964057Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8964061Z 
2025-10-10T00:51:15.8964172Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8964387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8964456Z     return mod(*inputs)
2025-10-10T00:51:15.8964686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8964812Z     features = self.features(x)
2025-10-10T00:51:15.8965038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8965122Z     new_features = layer(features)
2025-10-10T00:51:15.8965347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8965484Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8965488Z 
2025-10-10T00:51:15.8965604Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8965806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8965922Z     return mod(*inputs)
2025-10-10T00:51:15.8966156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8966229Z     features = self.features(x)
2025-10-10T00:51:15.8966467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8966543Z     new_features = layer(features)
2025-10-10T00:51:15.8966776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8966913Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8966917Z 
2025-10-10T00:51:15.8967030Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8967235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8967301Z     return mod(*inputs)
2025-10-10T00:51:15.8967541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8967615Z     features = self.features(x)
2025-10-10T00:51:15.8967851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8967927Z     new_features = layer(features)
2025-10-10T00:51:15.8968159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8968276Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8968514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8968610Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8968614Z 
2025-10-10T00:51:15.8968719Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8968932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8969001Z     return mod(*inputs)
2025-10-10T00:51:15.8969231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8969317Z     features = self.features(x)
2025-10-10T00:51:15.8969550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8969632Z     new_features = layer(features)
2025-10-10T00:51:15.8969864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8969969Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8970215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8970386Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8970390Z 
2025-10-10T00:51:15.8970505Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8970710Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8970779Z     return mod(*inputs)
2025-10-10T00:51:15.8971053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8971129Z     features = self.features(x)
2025-10-10T00:51:15.8971364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8971438Z     new_features = layer(features)
2025-10-10T00:51:15.8971672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8971776Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8972052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8972233Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8972237Z 
2025-10-10T00:51:15.8972344Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8972558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8972627Z     return mod(*inputs)
2025-10-10T00:51:15.8972855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8972936Z     features = self.features(x)
2025-10-10T00:51:15.8973163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8973246Z     new_features = layer(features)
2025-10-10T00:51:15.8973471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8973615Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8973618Z 
2025-10-10T00:51:15.8973724Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8973926Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8974004Z     return mod(*inputs)
2025-10-10T00:51:15.8974229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8974309Z     features = self.features(x)
2025-10-10T00:51:15.8974539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8974614Z     new_features = layer(features)
2025-10-10T00:51:15.8974848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8974983Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8974989Z 
2025-10-10T00:51:15.8975104Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8975303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8975375Z     return mod(*inputs)
2025-10-10T00:51:15.8975610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8975681Z     features = self.features(x)
2025-10-10T00:51:15.8975912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8975986Z     new_features = layer(features)
2025-10-10T00:51:15.8976219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8976323Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8976562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8976661Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8976664Z 
2025-10-10T00:51:15.8976768Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8977022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8977089Z     return mod(*inputs)
2025-10-10T00:51:15.8977316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8977397Z     features = self.features(x)
2025-10-10T00:51:15.8977624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8977705Z     new_features = layer(features)
2025-10-10T00:51:15.8977932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8978071Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8978320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8978491Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8978497Z 
2025-10-10T00:51:15.8978612Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8978817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8978894Z     return mod(*inputs)
2025-10-10T00:51:15.8979125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8979200Z     features = self.features(x)
2025-10-10T00:51:15.8979438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8979513Z     new_features = layer(features)
2025-10-10T00:51:15.8979751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8979858Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8980097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8980279Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8980283Z 
2025-10-10T00:51:15.8980389Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8980604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8980673Z     return mod(*inputs)
2025-10-10T00:51:15.8980911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8980984Z     features = self.features(x)
2025-10-10T00:51:15.8981218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8981300Z     new_features = layer(features)
2025-10-10T00:51:15.8981530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8981678Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8981682Z 
2025-10-10T00:51:15.8981787Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8981992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8982067Z     return mod(*inputs)
2025-10-10T00:51:15.8982300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8982379Z     features = self.features(x)
2025-10-10T00:51:15.8982609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8982682Z     new_features = layer(features)
2025-10-10T00:51:15.8982918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8983106Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8983109Z 
2025-10-10T00:51:15.8983221Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8983422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8983498Z     return mod(*inputs)
2025-10-10T00:51:15.8983727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8983800Z     features = self.features(x)
2025-10-10T00:51:15.8984037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8984111Z     new_features = layer(features)
2025-10-10T00:51:15.8984380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8984488Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8984728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8984830Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8984834Z 
2025-10-10T00:51:15.8984941Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8985152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8985221Z     return mod(*inputs)
2025-10-10T00:51:15.8985463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8985537Z     features = self.features(x)
2025-10-10T00:51:15.8985770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8985856Z     new_features = layer(features)
2025-10-10T00:51:15.8986153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8986282Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8986525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8986697Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8986701Z 
2025-10-10T00:51:15.8986818Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8987023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8987100Z     return mod(*inputs)
2025-10-10T00:51:15.8987340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8987416Z     features = self.features(x)
2025-10-10T00:51:15.8987663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8987744Z     new_features = layer(features)
2025-10-10T00:51:15.8987998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8988104Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8988355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8988528Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8988531Z 
2025-10-10T00:51:15.8988640Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8988852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8988921Z     return mod(*inputs)
2025-10-10T00:51:15.8989162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8989280Z     features = self.features(x)
2025-10-10T00:51:15.8989513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8989594Z     new_features = layer(features)
2025-10-10T00:51:15.8989823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8989966Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8989970Z 
2025-10-10T00:51:15.8990080Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8990287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8990354Z     return mod(*inputs)
2025-10-10T00:51:15.8990621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8990703Z     features = self.features(x)
2025-10-10T00:51:15.8991145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8991243Z     new_features = layer(features)
2025-10-10T00:51:15.8991532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8991667Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8991671Z 
2025-10-10T00:51:15.8991787Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8992001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8992078Z     return mod(*inputs)
2025-10-10T00:51:15.8992309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8992385Z     features = self.features(x)
2025-10-10T00:51:15.8992621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8992697Z     new_features = layer(features)
2025-10-10T00:51:15.8992935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8993043Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8993287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.8993378Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.8993382Z 
2025-10-10T00:51:15.8993488Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8993712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8993785Z     return mod(*inputs)
2025-10-10T00:51:15.8994025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8994101Z     features = self.features(x)
2025-10-10T00:51:15.8994340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8994425Z     new_features = layer(features)
2025-10-10T00:51:15.8994727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8994840Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8995087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8995267Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8995271Z 
2025-10-10T00:51:15.8995380Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8995584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8995664Z     return mod(*inputs)
2025-10-10T00:51:15.8995977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8996058Z     features = self.features(x)
2025-10-10T00:51:15.8996286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8996360Z     new_features = layer(features)
2025-10-10T00:51:15.8996604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.8996710Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.8996961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.8997194Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.8997198Z 
2025-10-10T00:51:15.8997317Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8997528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8997598Z     return mod(*inputs)
2025-10-10T00:51:15.8997839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8997914Z     features = self.features(x)
2025-10-10T00:51:15.8998163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8998237Z     new_features = layer(features)
2025-10-10T00:51:15.8998475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.8998621Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.8998625Z 
2025-10-10T00:51:15.8998732Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.8998948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.8999018Z     return mod(*inputs)
2025-10-10T00:51:15.8999250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.8999331Z     features = self.features(x)
2025-10-10T00:51:15.8999560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.8999641Z     new_features = layer(features)
2025-10-10T00:51:15.8999879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9000023Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9000026Z 
2025-10-10T00:51:15.9000136Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9000338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9000414Z     return mod(*inputs)
2025-10-10T00:51:15.9000646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9000727Z     features = self.features(x)
2025-10-10T00:51:15.9000956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9001028Z     new_features = layer(features)
2025-10-10T00:51:15.9001271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9001378Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9001626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9001717Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9001720Z 
2025-10-10T00:51:15.9001834Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9002038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9002142Z     return mod(*inputs)
2025-10-10T00:51:15.9002384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9002458Z     features = self.features(x)
2025-10-10T00:51:15.9002700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9002775Z     new_features = layer(features)
2025-10-10T00:51:15.9003008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9003121Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9003405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9003585Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9003592Z 
2025-10-10T00:51:15.9003698Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9003899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9003974Z     return mod(*inputs)
2025-10-10T00:51:15.9004202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9004283Z     features = self.features(x)
2025-10-10T00:51:15.9004508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9004586Z     new_features = layer(features)
2025-10-10T00:51:15.9004814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9004918Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9005161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9005335Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9005339Z 
2025-10-10T00:51:15.9005453Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9005654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9005722Z     return mod(*inputs)
2025-10-10T00:51:15.9005958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9006035Z     features = self.features(x)
2025-10-10T00:51:15.9006273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9006347Z     new_features = layer(features)
2025-10-10T00:51:15.9006572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9006719Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9006722Z 
2025-10-10T00:51:15.9006828Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9007040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9007106Z     return mod(*inputs)
2025-10-10T00:51:15.9007341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9007413Z     features = self.features(x)
2025-10-10T00:51:15.9007637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9007723Z     new_features = layer(features)
2025-10-10T00:51:15.9007947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9008089Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9008142Z 
2025-10-10T00:51:15.9008250Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9008454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9008530Z     return mod(*inputs)
2025-10-10T00:51:15.9008757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9008839Z     features = self.features(x)
2025-10-10T00:51:15.9009065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9009147Z     new_features = layer(features)
2025-10-10T00:51:15.9009408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9009515Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9009764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9009857Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9009861Z 
2025-10-10T00:51:15.9009973Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9010176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9010244Z     return mod(*inputs)
2025-10-10T00:51:15.9010488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9010557Z     features = self.features(x)
2025-10-10T00:51:15.9010786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9010857Z     new_features = layer(features)
2025-10-10T00:51:15.9011085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9011202Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9011441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9011620Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9011624Z 
2025-10-10T00:51:15.9011729Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9011939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9012007Z     return mod(*inputs)
2025-10-10T00:51:15.9012234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9012318Z     features = self.features(x)
2025-10-10T00:51:15.9012545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9012628Z     new_features = layer(features)
2025-10-10T00:51:15.9012856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9012960Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9013208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9013378Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9013382Z 
2025-10-10T00:51:15.9013500Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9013701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9013779Z     return mod(*inputs)
2025-10-10T00:51:15.9014010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9014083Z     features = self.features(x)
2025-10-10T00:51:15.9014366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9014441Z     new_features = layer(features)
2025-10-10T00:51:15.9014677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9014815Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9014819Z 
2025-10-10T00:51:15.9014925Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9015135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9015201Z     return mod(*inputs)
2025-10-10T00:51:15.9015472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9015545Z     features = self.features(x)
2025-10-10T00:51:15.9015773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9015860Z     new_features = layer(features)
2025-10-10T00:51:15.9016089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9016234Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9016237Z 
2025-10-10T00:51:15.9016345Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9016556Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9016623Z     return mod(*inputs)
2025-10-10T00:51:15.9016853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9016935Z     features = self.features(x)
2025-10-10T00:51:15.9017162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9017246Z     new_features = layer(features)
2025-10-10T00:51:15.9017469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9017573Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9017816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9017904Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9017908Z 
2025-10-10T00:51:15.9018019Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9018221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9018295Z     return mod(*inputs)
2025-10-10T00:51:15.9018524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9018597Z     features = self.features(x)
2025-10-10T00:51:15.9018834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9018907Z     new_features = layer(features)
2025-10-10T00:51:15.9019139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9019243Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9019480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9019660Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9019664Z 
2025-10-10T00:51:15.9019771Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9019981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9020047Z     return mod(*inputs)
2025-10-10T00:51:15.9020272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9020392Z     features = self.features(x)
2025-10-10T00:51:15.9020622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9020704Z     new_features = layer(features)
2025-10-10T00:51:15.9020931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9021043Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9021281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9021491Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9021495Z 
2025-10-10T00:51:15.9021611Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9021813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9021891Z     return mod(*inputs)
2025-10-10T00:51:15.9022121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9022195Z     features = self.features(x)
2025-10-10T00:51:15.9022428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9022503Z     new_features = layer(features)
2025-10-10T00:51:15.9022738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9022874Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9022880Z 
2025-10-10T00:51:15.9022995Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9023197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9023268Z     return mod(*inputs)
2025-10-10T00:51:15.9023505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9023578Z     features = self.features(x)
2025-10-10T00:51:15.9023819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9023894Z     new_features = layer(features)
2025-10-10T00:51:15.9024122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9024268Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9024272Z 
2025-10-10T00:51:15.9024380Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9024588Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9024654Z     return mod(*inputs)
2025-10-10T00:51:15.9024884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9024966Z     features = self.features(x)
2025-10-10T00:51:15.9025194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9025276Z     new_features = layer(features)
2025-10-10T00:51:15.9025502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9025615Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9025853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9025948Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9025951Z 
2025-10-10T00:51:15.9026142Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9026369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9026498Z     return mod(*inputs)
2025-10-10T00:51:15.9026743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9026818Z     features = self.features(x)
2025-10-10T00:51:15.9027067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9027144Z     new_features = layer(features)
2025-10-10T00:51:15.9027403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9027508Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9027802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9027986Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9027993Z 
2025-10-10T00:51:15.9028100Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9028311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9028379Z     return mod(*inputs)
2025-10-10T00:51:15.9028613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9028687Z     features = self.features(x)
2025-10-10T00:51:15.9028915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9028996Z     new_features = layer(features)
2025-10-10T00:51:15.9029227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9029338Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9029578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9029754Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9029764Z 
2025-10-10T00:51:15.9029872Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9030074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9030151Z     return mod(*inputs)
2025-10-10T00:51:15.9030382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9030462Z     features = self.features(x)
2025-10-10T00:51:15.9030694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9030769Z     new_features = layer(features)
2025-10-10T00:51:15.9031003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9031142Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9031145Z 
2025-10-10T00:51:15.9031259Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9031464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9031531Z     return mod(*inputs)
2025-10-10T00:51:15.9031773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9031847Z     features = self.features(x)
2025-10-10T00:51:15.9032080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9032155Z     new_features = layer(features)
2025-10-10T00:51:15.9032389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9032525Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9032566Z 
2025-10-10T00:51:15.9032672Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9032880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9032946Z     return mod(*inputs)
2025-10-10T00:51:15.9033180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9033253Z     features = self.features(x)
2025-10-10T00:51:15.9033479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9033557Z     new_features = layer(features)
2025-10-10T00:51:15.9034374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9034494Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9034732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9034822Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9034833Z 
2025-10-10T00:51:15.9034940Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9035153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9035230Z     return mod(*inputs)
2025-10-10T00:51:15.9035458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9035539Z     features = self.features(x)
2025-10-10T00:51:15.9035765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9035842Z     new_features = layer(features)
2025-10-10T00:51:15.9036075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9036183Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9036438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9036611Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9036615Z 
2025-10-10T00:51:15.9036721Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9036944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9037012Z     return mod(*inputs)
2025-10-10T00:51:15.9037249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9037324Z     features = self.features(x)
2025-10-10T00:51:15.9037560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9037634Z     new_features = layer(features)
2025-10-10T00:51:15.9037872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9037988Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9038232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9038414Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9038418Z 
2025-10-10T00:51:15.9038528Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9038749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9038829Z     return mod(*inputs)
2025-10-10T00:51:15.9039066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9039151Z     features = self.features(x)
2025-10-10T00:51:15.9039432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9039508Z     new_features = layer(features)
2025-10-10T00:51:15.9039754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9039891Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9039895Z 
2025-10-10T00:51:15.9040008Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9040224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9040299Z     return mod(*inputs)
2025-10-10T00:51:15.9040572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9040649Z     features = self.features(x)
2025-10-10T00:51:15.9040894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9040974Z     new_features = layer(features)
2025-10-10T00:51:15.9041214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9041352Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9041356Z 
2025-10-10T00:51:15.9041466Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9041693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9041763Z     return mod(*inputs)
2025-10-10T00:51:15.9042008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9042086Z     features = self.features(x)
2025-10-10T00:51:15.9042328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9042404Z     new_features = layer(features)
2025-10-10T00:51:15.9042638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9042756Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9043000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9043102Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9043106Z 
2025-10-10T00:51:15.9043215Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9043434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9043511Z     return mod(*inputs)
2025-10-10T00:51:15.9043749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9043831Z     features = self.features(x)
2025-10-10T00:51:15.9044067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9044148Z     new_features = layer(features)
2025-10-10T00:51:15.9044390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9044500Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9044752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9044928Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9044932Z 
2025-10-10T00:51:15.9045046Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9045258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9045327Z     return mod(*inputs)
2025-10-10T00:51:15.9045571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9045685Z     features = self.features(x)
2025-10-10T00:51:15.9045931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9046007Z     new_features = layer(features)
2025-10-10T00:51:15.9046245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9046363Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9046610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9046855Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9046859Z 
2025-10-10T00:51:15.9046970Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9047190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9047262Z     return mod(*inputs)
2025-10-10T00:51:15.9047501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9047583Z     features = self.features(x)
2025-10-10T00:51:15.9047822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9047905Z     new_features = layer(features)
2025-10-10T00:51:15.9048142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9048281Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9048284Z 
2025-10-10T00:51:15.9048403Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9048612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9048692Z     return mod(*inputs)
2025-10-10T00:51:15.9048930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9049005Z     features = self.features(x)
2025-10-10T00:51:15.9049249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9049323Z     new_features = layer(features)
2025-10-10T00:51:15.9049566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9049707Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9049711Z 
2025-10-10T00:51:15.9049833Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9050046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9050115Z     return mod(*inputs)
2025-10-10T00:51:15.9050362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9050439Z     features = self.features(x)
2025-10-10T00:51:15.9050683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9050760Z     new_features = layer(features)
2025-10-10T00:51:15.9050994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9051110Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9051356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9051458Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9051462Z 
2025-10-10T00:51:15.9051572Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9051791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9051915Z     return mod(*inputs)
2025-10-10T00:51:15.9052150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9052234Z     features = self.features(x)
2025-10-10T00:51:15.9052471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9052555Z     new_features = layer(features)
2025-10-10T00:51:15.9052780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9052886Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9053184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9053363Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9053366Z 
2025-10-10T00:51:15.9053484Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9053700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9053768Z     return mod(*inputs)
2025-10-10T00:51:15.9054002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9054076Z     features = self.features(x)
2025-10-10T00:51:15.9054312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9054385Z     new_features = layer(features)
2025-10-10T00:51:15.9054623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9054731Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9054979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9055161Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9055165Z 
2025-10-10T00:51:15.9055271Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9055489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9055558Z     return mod(*inputs)
2025-10-10T00:51:15.9055786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9055867Z     features = self.features(x)
2025-10-10T00:51:15.9056093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9056176Z     new_features = layer(features)
2025-10-10T00:51:15.9056402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9056549Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9056555Z 
2025-10-10T00:51:15.9056663Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9056878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9056956Z     return mod(*inputs)
2025-10-10T00:51:15.9057184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9057264Z     features = self.features(x)
2025-10-10T00:51:15.9057492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9057565Z     new_features = layer(features)
2025-10-10T00:51:15.9057810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9057946Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9057990Z 
2025-10-10T00:51:15.9058105Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9058361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9058429Z     return mod(*inputs)
2025-10-10T00:51:15.9058667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9058741Z     features = self.features(x)
2025-10-10T00:51:15.9058976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9059049Z     new_features = layer(features)
2025-10-10T00:51:15.9059331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9059439Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9059682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9059782Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9059786Z 
2025-10-10T00:51:15.9059893Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9060111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9060179Z     return mod(*inputs)
2025-10-10T00:51:15.9060409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9060489Z     features = self.features(x)
2025-10-10T00:51:15.9060721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9060804Z     new_features = layer(features)
2025-10-10T00:51:15.9061035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9061142Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9061391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9061563Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9061566Z 
2025-10-10T00:51:15.9061681Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9061897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9061970Z     return mod(*inputs)
2025-10-10T00:51:15.9062202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9062276Z     features = self.features(x)
2025-10-10T00:51:15.9062515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9062589Z     new_features = layer(features)
2025-10-10T00:51:15.9062827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9062932Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9063183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9063361Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9063364Z 
2025-10-10T00:51:15.9063470Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9063687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9063752Z     return mod(*inputs)
2025-10-10T00:51:15.9063992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9064066Z     features = self.features(x)
2025-10-10T00:51:15.9064297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9064417Z     new_features = layer(features)
2025-10-10T00:51:15.9064642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9064787Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9064791Z 
2025-10-10T00:51:15.9064896Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9065098Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9065173Z     return mod(*inputs)
2025-10-10T00:51:15.9065440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9065522Z     features = self.features(x)
2025-10-10T00:51:15.9065751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9065829Z     new_features = layer(features)
2025-10-10T00:51:15.9066077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9066301Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9066305Z 
2025-10-10T00:51:15.9066424Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9066637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9066716Z     return mod(*inputs)
2025-10-10T00:51:15.9066953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9067035Z     features = self.features(x)
2025-10-10T00:51:15.9067285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9067368Z     new_features = layer(features)
2025-10-10T00:51:15.9067616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9067721Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9067964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9068063Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9068066Z 
2025-10-10T00:51:15.9068174Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9068389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9068459Z     return mod(*inputs)
2025-10-10T00:51:15.9068703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9068778Z     features = self.features(x)
2025-10-10T00:51:15.9069014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9069101Z     new_features = layer(features)
2025-10-10T00:51:15.9069329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9069444Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9069684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9069856Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9069860Z 
2025-10-10T00:51:15.9069974Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9070180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9070255Z     return mod(*inputs)
2025-10-10T00:51:15.9070488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9070608Z     features = self.features(x)
2025-10-10T00:51:15.9070845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9070920Z     new_features = layer(features)
2025-10-10T00:51:15.9071154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9071258Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9071505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9071709Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9071714Z 
2025-10-10T00:51:15.9071820Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9072029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9072099Z     return mod(*inputs)
2025-10-10T00:51:15.9072337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9072409Z     features = self.features(x)
2025-10-10T00:51:15.9072639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9072723Z     new_features = layer(features)
2025-10-10T00:51:15.9072951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9073098Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9073101Z 
2025-10-10T00:51:15.9073211Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9073424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9073494Z     return mod(*inputs)
2025-10-10T00:51:15.9073725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9073807Z     features = self.features(x)
2025-10-10T00:51:15.9074033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9074114Z     new_features = layer(features)
2025-10-10T00:51:15.9074341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9074478Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9074481Z 
2025-10-10T00:51:15.9074597Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9074803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9074877Z     return mod(*inputs)
2025-10-10T00:51:15.9075105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9075180Z     features = self.features(x)
2025-10-10T00:51:15.9075415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9075489Z     new_features = layer(features)
2025-10-10T00:51:15.9075722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9075827Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9076074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9076163Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9076169Z 
2025-10-10T00:51:15.9076275Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9076485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9076605Z     return mod(*inputs)
2025-10-10T00:51:15.9076838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9076909Z     features = self.features(x)
2025-10-10T00:51:15.9077137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9077218Z     new_features = layer(features)
2025-10-10T00:51:15.9077444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9077555Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9077832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9078014Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9078018Z 
2025-10-10T00:51:15.9078124Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9078332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9078407Z     return mod(*inputs)
2025-10-10T00:51:15.9078634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9078712Z     features = self.features(x)
2025-10-10T00:51:15.9078938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9079012Z     new_features = layer(features)
2025-10-10T00:51:15.9079246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9079354Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9079601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9079776Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9079780Z 
2025-10-10T00:51:15.9079893Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9080098Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9080165Z     return mod(*inputs)
2025-10-10T00:51:15.9080403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9080476Z     features = self.features(x)
2025-10-10T00:51:15.9080711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9080787Z     new_features = layer(features)
2025-10-10T00:51:15.9081014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9081157Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9081163Z 
2025-10-10T00:51:15.9081270Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9081479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9081547Z     return mod(*inputs)
2025-10-10T00:51:15.9081776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9081856Z     features = self.features(x)
2025-10-10T00:51:15.9082084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9082166Z     new_features = layer(features)
2025-10-10T00:51:15.9082396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9082541Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9082545Z 
2025-10-10T00:51:15.9082690Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9082892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9082968Z     return mod(*inputs)
2025-10-10T00:51:15.9083197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9083278Z     features = self.features(x)
2025-10-10T00:51:15.9083507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9083581Z     new_features = layer(features)
2025-10-10T00:51:15.9083863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9083969Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9084217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9084310Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9084314Z 
2025-10-10T00:51:15.9084429Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9084634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9084704Z     return mod(*inputs)
2025-10-10T00:51:15.9084949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9085023Z     features = self.features(x)
2025-10-10T00:51:15.9085261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9085335Z     new_features = layer(features)
2025-10-10T00:51:15.9085566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9085679Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9085925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9086105Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9086108Z 
2025-10-10T00:51:15.9086215Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9086422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9086497Z     return mod(*inputs)
2025-10-10T00:51:15.9086730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9086811Z     features = self.features(x)
2025-10-10T00:51:15.9087043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9087124Z     new_features = layer(features)
2025-10-10T00:51:15.9087355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9087466Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9087719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9087892Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9087896Z 
2025-10-10T00:51:15.9088010Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9088214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9088282Z     return mod(*inputs)
2025-10-10T00:51:15.9088525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9088598Z     features = self.features(x)
2025-10-10T00:51:15.9088838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9088946Z     new_features = layer(features)
2025-10-10T00:51:15.9089176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9089321Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9089325Z 
2025-10-10T00:51:15.9089433Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9089648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9089715Z     return mod(*inputs)
2025-10-10T00:51:15.9089989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9090062Z     features = self.features(x)
2025-10-10T00:51:15.9090291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9090377Z     new_features = layer(features)
2025-10-10T00:51:15.9090602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9090746Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9090750Z 
2025-10-10T00:51:15.9090856Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9091302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9091384Z     return mod(*inputs)
2025-10-10T00:51:15.9091616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9091698Z     features = self.features(x)
2025-10-10T00:51:15.9091928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9092012Z     new_features = layer(features)
2025-10-10T00:51:15.9092240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9092346Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9092601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9092693Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9092697Z 
2025-10-10T00:51:15.9092815Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9093025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9093094Z     return mod(*inputs)
2025-10-10T00:51:15.9093343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9093418Z     features = self.features(x)
2025-10-10T00:51:15.9093659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9093739Z     new_features = layer(features)
2025-10-10T00:51:15.9093974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9094093Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9094347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9094527Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9094531Z 
2025-10-10T00:51:15.9094637Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9094851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9094919Z     return mod(*inputs)
2025-10-10T00:51:15.9095148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9095312Z     features = self.features(x)
2025-10-10T00:51:15.9095539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9095620Z     new_features = layer(features)
2025-10-10T00:51:15.9095849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9095953Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9096211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9096381Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9096437Z 
2025-10-10T00:51:15.9096556Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9096771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9096850Z     return mod(*inputs)
2025-10-10T00:51:15.9097082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9097156Z     features = self.features(x)
2025-10-10T00:51:15.9097403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9097479Z     new_features = layer(features)
2025-10-10T00:51:15.9097723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9097864Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9097867Z 
2025-10-10T00:51:15.9097981Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9098195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9098264Z     return mod(*inputs)
2025-10-10T00:51:15.9098507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9098584Z     features = self.features(x)
2025-10-10T00:51:15.9098826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9098909Z     new_features = layer(features)
2025-10-10T00:51:15.9099150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9099299Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9099302Z 
2025-10-10T00:51:15.9099411Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9099646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9099717Z     return mod(*inputs)
2025-10-10T00:51:15.9099954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9100042Z     features = self.features(x)
2025-10-10T00:51:15.9100275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9100359Z     new_features = layer(features)
2025-10-10T00:51:15.9100601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9100709Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9100961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9101052Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9101055Z 
2025-10-10T00:51:15.9101172Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9101378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9101452Z     return mod(*inputs)
2025-10-10T00:51:15.9101740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9101815Z     features = self.features(x)
2025-10-10T00:51:15.9102058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9102134Z     new_features = layer(features)
2025-10-10T00:51:15.9102384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9102492Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9102775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9102962Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9102965Z 
2025-10-10T00:51:15.9103072Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9103296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9103366Z     return mod(*inputs)
2025-10-10T00:51:15.9103603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9103685Z     features = self.features(x)
2025-10-10T00:51:15.9103921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9104009Z     new_features = layer(features)
2025-10-10T00:51:15.9104244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9104364Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9104609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9104784Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9104790Z 
2025-10-10T00:51:15.9104908Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9105119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9105197Z     return mod(*inputs)
2025-10-10T00:51:15.9105432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9105506Z     features = self.features(x)
2025-10-10T00:51:15.9105746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9105823Z     new_features = layer(features)
2025-10-10T00:51:15.9106066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9106478Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9106490Z 
2025-10-10T00:51:15.9106613Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9106823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9106891Z     return mod(*inputs)
2025-10-10T00:51:15.9107136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9107212Z     features = self.features(x)
2025-10-10T00:51:15.9107457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9107534Z     new_features = layer(features)
2025-10-10T00:51:15.9107771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9107922Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9107925Z 
2025-10-10T00:51:15.9108034Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9108299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9108370Z     return mod(*inputs)
2025-10-10T00:51:15.9108604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9108689Z     features = self.features(x)
2025-10-10T00:51:15.9108924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9109010Z     new_features = layer(features)
2025-10-10T00:51:15.9109241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9109393Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9109643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9109736Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9109740Z 
2025-10-10T00:51:15.9109858Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9110069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9110145Z     return mod(*inputs)
2025-10-10T00:51:15.9110382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9110457Z     features = self.features(x)
2025-10-10T00:51:15.9110699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9110776Z     new_features = layer(features)
2025-10-10T00:51:15.9111022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9111136Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9111392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9111575Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9111578Z 
2025-10-10T00:51:15.9111688Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9111909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9111979Z     return mod(*inputs)
2025-10-10T00:51:15.9112226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9112302Z     features = self.features(x)
2025-10-10T00:51:15.9112541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9112625Z     new_features = layer(features)
2025-10-10T00:51:15.9112861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9112980Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9113227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9113407Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9113417Z 
2025-10-10T00:51:15.9113528Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9113739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9113817Z     return mod(*inputs)
2025-10-10T00:51:15.9114059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9114144Z     features = self.features(x)
2025-10-10T00:51:15.9114382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9114500Z     new_features = layer(features)
2025-10-10T00:51:15.9114741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9114884Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9114888Z 
2025-10-10T00:51:15.9115004Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9115222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9115289Z     return mod(*inputs)
2025-10-10T00:51:15.9115526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9115633Z     features = self.features(x)
2025-10-10T00:51:15.9115871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9115948Z     new_features = layer(features)
2025-10-10T00:51:15.9116186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9116323Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9116327Z 
2025-10-10T00:51:15.9116415Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9116510Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9116592Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9116678Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9116759Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9116838Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9116953Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9117169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9117243Z     return mod(*inputs)
2025-10-10T00:51:15.9117471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9117546Z     features = self.features(x)
2025-10-10T00:51:15.9117786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-10-10T00:51:15.9117863Z     return torch.cat(features, 1)
2025-10-10T00:51:15.9117867Z 
2025-10-10T00:51:15.9117979Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9118195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9118261Z     return mod(*inputs)
2025-10-10T00:51:15.9118499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9118573Z     features = self.features(x)
2025-10-10T00:51:15.9118576Z 
2025-10-10T00:51:15.9118688Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9118903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9118972Z     return mod(*inputs)
2025-10-10T00:51:15.9119213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9119286Z     features = self.features(x)
2025-10-10T00:51:15.9119290Z 
2025-10-10T00:51:15.9119404Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9119614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9119690Z     return mod(*inputs)
2025-10-10T00:51:15.9119922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9119997Z     features = self.features(x)
2025-10-10T00:51:15.9120235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9120308Z     new_features = layer(features)
2025-10-10T00:51:15.9120575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9120681Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9120916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9121095Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9121099Z 
2025-10-10T00:51:15.9121203Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9121416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9121482Z     return mod(*inputs)
2025-10-10T00:51:15.9121764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9121838Z     features = self.features(x)
2025-10-10T00:51:15.9122067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9122150Z     new_features = layer(features)
2025-10-10T00:51:15.9122386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9122531Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9122534Z 
2025-10-10T00:51:15.9122640Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9122851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9122924Z     return mod(*inputs)
2025-10-10T00:51:15.9123155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9123236Z     features = self.features(x)
2025-10-10T00:51:15.9123465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9123543Z     new_features = layer(features)
2025-10-10T00:51:15.9123789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9123923Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9123927Z 
2025-10-10T00:51:15.9124042Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9124253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9124327Z     return mod(*inputs)
2025-10-10T00:51:15.9124558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9124635Z     features = self.features(x)
2025-10-10T00:51:15.9124872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9124946Z     new_features = layer(features)
2025-10-10T00:51:15.9125184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9125292Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9125534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9125634Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9125637Z 
2025-10-10T00:51:15.9125743Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9125953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9126022Z     return mod(*inputs)
2025-10-10T00:51:15.9126254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9126335Z     features = self.features(x)
2025-10-10T00:51:15.9126566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9126687Z     new_features = layer(features)
2025-10-10T00:51:15.9126917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9127030Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9127271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9127443Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9127447Z 
2025-10-10T00:51:15.9127562Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9127795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9127872Z     return mod(*inputs)
2025-10-10T00:51:15.9128099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9128176Z     features = self.features(x)
2025-10-10T00:51:15.9128412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9128486Z     new_features = layer(features)
2025-10-10T00:51:15.9128722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9128829Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9129073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9129248Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9129252Z 
2025-10-10T00:51:15.9129356Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9129569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9129638Z     return mod(*inputs)
2025-10-10T00:51:15.9129875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9129949Z     features = self.features(x)
2025-10-10T00:51:15.9130177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9130260Z     new_features = layer(features)
2025-10-10T00:51:15.9130490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9130635Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9130638Z 
2025-10-10T00:51:15.9130749Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9130963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9131030Z     return mod(*inputs)
2025-10-10T00:51:15.9131266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9131347Z     features = self.features(x)
2025-10-10T00:51:15.9131576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9131657Z     new_features = layer(features)
2025-10-10T00:51:15.9131884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9132021Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9132025Z 
2025-10-10T00:51:15.9132138Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9132343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9132418Z     return mod(*inputs)
2025-10-10T00:51:15.9132647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9132763Z     features = self.features(x)
2025-10-10T00:51:15.9133002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9133076Z     new_features = layer(features)
2025-10-10T00:51:15.9133309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9133416Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9133662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9133787Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9133792Z 
2025-10-10T00:51:15.9133902Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9134117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9134190Z     return mod(*inputs)
2025-10-10T00:51:15.9134432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9134507Z     features = self.features(x)
2025-10-10T00:51:15.9134742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9134820Z     new_features = layer(features)
2025-10-10T00:51:15.9135041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9135150Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9135384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9135551Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9135562Z 
2025-10-10T00:51:15.9135669Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9135866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9135942Z     return mod(*inputs)
2025-10-10T00:51:15.9136163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9136242Z     features = self.features(x)
2025-10-10T00:51:15.9136462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9136534Z     new_features = layer(features)
2025-10-10T00:51:15.9136765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9136867Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9137110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9137288Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9137292Z 
2025-10-10T00:51:15.9137403Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9137620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9137690Z     return mod(*inputs)
2025-10-10T00:51:15.9137930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9138004Z     features = self.features(x)
2025-10-10T00:51:15.9138245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9138324Z     new_features = layer(features)
2025-10-10T00:51:15.9138557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9138708Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9138745Z 
2025-10-10T00:51:15.9138851Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9139063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9139130Z     return mod(*inputs)
2025-10-10T00:51:15.9139364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9139447Z     features = self.features(x)
2025-10-10T00:51:15.9139678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9139760Z     new_features = layer(features)
2025-10-10T00:51:15.9140025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9140163Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9140177Z 
2025-10-10T00:51:15.9140284Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9140488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9140565Z     return mod(*inputs)
2025-10-10T00:51:15.9140795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9140877Z     features = self.features(x)
2025-10-10T00:51:15.9141107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9141181Z     new_features = layer(features)
2025-10-10T00:51:15.9141421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9141526Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9141771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9141863Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9141867Z 
2025-10-10T00:51:15.9141974Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9142187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9142255Z     return mod(*inputs)
2025-10-10T00:51:15.9142492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9142565Z     features = self.features(x)
2025-10-10T00:51:15.9142799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9142883Z     new_features = layer(features)
2025-10-10T00:51:15.9143108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9143223Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9143473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9143659Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9143663Z 
2025-10-10T00:51:15.9143773Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9143981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9144059Z     return mod(*inputs)
2025-10-10T00:51:15.9144292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9144376Z     features = self.features(x)
2025-10-10T00:51:15.9144614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9144689Z     new_features = layer(features)
2025-10-10T00:51:15.9144932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9145079Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9145329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9145504Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9145508Z 
2025-10-10T00:51:15.9145627Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9145837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9145907Z     return mod(*inputs)
2025-10-10T00:51:15.9146279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9146371Z     features = self.features(x)
2025-10-10T00:51:15.9146614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9146692Z     new_features = layer(features)
2025-10-10T00:51:15.9146922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9147070Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9147073Z 
2025-10-10T00:51:15.9147184Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9147398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9147466Z     return mod(*inputs)
2025-10-10T00:51:15.9147715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9147785Z     features = self.features(x)
2025-10-10T00:51:15.9148001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9148082Z     new_features = layer(features)
2025-10-10T00:51:15.9148297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9148436Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9148440Z 
2025-10-10T00:51:15.9148541Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9148732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9148805Z     return mod(*inputs)
2025-10-10T00:51:15.9149032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9149116Z     features = self.features(x)
2025-10-10T00:51:15.9149349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9149423Z     new_features = layer(features)
2025-10-10T00:51:15.9149663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9149768Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9150012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9150102Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9150106Z 
2025-10-10T00:51:15.9150219Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9150422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9150489Z     return mod(*inputs)
2025-10-10T00:51:15.9150726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9150798Z     features = self.features(x)
2025-10-10T00:51:15.9151029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9151145Z     new_features = layer(features)
2025-10-10T00:51:15.9151372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9151483Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9151720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9151899Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9151902Z 
2025-10-10T00:51:15.9152009Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9152252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9152323Z     return mod(*inputs)
2025-10-10T00:51:15.9152550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9152633Z     features = self.features(x)
2025-10-10T00:51:15.9152858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9152937Z     new_features = layer(features)
2025-10-10T00:51:15.9153160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9153264Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9153507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9153678Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9153684Z 
2025-10-10T00:51:15.9153796Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9153998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9154077Z     return mod(*inputs)
2025-10-10T00:51:15.9154305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9154377Z     features = self.features(x)
2025-10-10T00:51:15.9154609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9154683Z     new_features = layer(features)
2025-10-10T00:51:15.9154915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9155052Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9155056Z 
2025-10-10T00:51:15.9155162Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9155371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9155440Z     return mod(*inputs)
2025-10-10T00:51:15.9155681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9155755Z     features = self.features(x)
2025-10-10T00:51:15.9155980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9156061Z     new_features = layer(features)
2025-10-10T00:51:15.9156284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9156426Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9156430Z 
2025-10-10T00:51:15.9156534Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9156746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9156813Z     return mod(*inputs)
2025-10-10T00:51:15.9157039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9157158Z     features = self.features(x)
2025-10-10T00:51:15.9157392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9157472Z     new_features = layer(features)
2025-10-10T00:51:15.9157709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9157814Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9158065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9158154Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9158191Z 
2025-10-10T00:51:15.9158305Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9158509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9158580Z     return mod(*inputs)
2025-10-10T00:51:15.9158818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9158890Z     features = self.features(x)
2025-10-10T00:51:15.9159127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9159200Z     new_features = layer(features)
2025-10-10T00:51:15.9159445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9159549Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9159792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9159974Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9159978Z 
2025-10-10T00:51:15.9160083Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9160295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9160363Z     return mod(*inputs)
2025-10-10T00:51:15.9160591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9160673Z     features = self.features(x)
2025-10-10T00:51:15.9160901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9160981Z     new_features = layer(features)
2025-10-10T00:51:15.9161221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9161336Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9161574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9161748Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9161752Z 
2025-10-10T00:51:15.9161866Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9162078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9162149Z     return mod(*inputs)
2025-10-10T00:51:15.9162364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9162432Z     features = self.features(x)
2025-10-10T00:51:15.9162658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9162730Z     new_features = layer(features)
2025-10-10T00:51:15.9162952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9163081Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9163124Z 
2025-10-10T00:51:15.9163233Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9163424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9163487Z     return mod(*inputs)
2025-10-10T00:51:15.9163709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9163778Z     features = self.features(x)
2025-10-10T00:51:15.9164002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9164071Z     new_features = layer(features)
2025-10-10T00:51:15.9164316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9164454Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9164458Z 
2025-10-10T00:51:15.9164561Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9164761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9164826Z     return mod(*inputs)
2025-10-10T00:51:15.9165041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9165117Z     features = self.features(x)
2025-10-10T00:51:15.9165332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9165407Z     new_features = layer(features)
2025-10-10T00:51:15.9165627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9165732Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9165960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9166047Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9166050Z 
2025-10-10T00:51:15.9166159Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9166352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9166423Z     return mod(*inputs)
2025-10-10T00:51:15.9166637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9166706Z     features = self.features(x)
2025-10-10T00:51:15.9166929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9167000Z     new_features = layer(features)
2025-10-10T00:51:15.9167224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9167324Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9167553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9167724Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9167728Z 
2025-10-10T00:51:15.9167827Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9168028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9168092Z     return mod(*inputs)
2025-10-10T00:51:15.9168314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9168384Z     features = self.features(x)
2025-10-10T00:51:15.9168603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9168681Z     new_features = layer(features)
2025-10-10T00:51:15.9168894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9169048Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9169274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9169437Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9169448Z 
2025-10-10T00:51:15.9169549Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9169742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9169814Z     return mod(*inputs)
2025-10-10T00:51:15.9170062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9170141Z     features = self.features(x)
2025-10-10T00:51:15.9170359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9170431Z     new_features = layer(features)
2025-10-10T00:51:15.9170655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9170785Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9170788Z 
2025-10-10T00:51:15.9170897Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9171088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9171153Z     return mod(*inputs)
2025-10-10T00:51:15.9171381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9171452Z     features = self.features(x)
2025-10-10T00:51:15.9171676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9171750Z     new_features = layer(features)
2025-10-10T00:51:15.9171966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9172106Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9172109Z 
2025-10-10T00:51:15.9172210Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9172413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9172479Z     return mod(*inputs)
2025-10-10T00:51:15.9172707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9172778Z     features = self.features(x)
2025-10-10T00:51:15.9172998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9173077Z     new_features = layer(features)
2025-10-10T00:51:15.9173293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9173404Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9173631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9173715Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9173719Z 
2025-10-10T00:51:15.9173830Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9174024Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9174099Z     return mod(*inputs)
2025-10-10T00:51:15.9174323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9174401Z     features = self.features(x)
2025-10-10T00:51:15.9174618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9174724Z     new_features = layer(features)
2025-10-10T00:51:15.9174949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9175048Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9175285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9175448Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9175451Z 
2025-10-10T00:51:15.9175553Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9175786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9175853Z     return mod(*inputs)
2025-10-10T00:51:15.9176076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9176148Z     features = self.features(x)
2025-10-10T00:51:15.9176361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9176438Z     new_features = layer(features)
2025-10-10T00:51:15.9176648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9176754Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9176975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9177143Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9177146Z 
2025-10-10T00:51:15.9177249Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9177446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9177519Z     return mod(*inputs)
2025-10-10T00:51:15.9177734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9177808Z     features = self.features(x)
2025-10-10T00:51:15.9178021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9178090Z     new_features = layer(features)
2025-10-10T00:51:15.9178311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9178440Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9178443Z 
2025-10-10T00:51:15.9178553Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9178745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9178815Z     return mod(*inputs)
2025-10-10T00:51:15.9179027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9179098Z     features = self.features(x)
2025-10-10T00:51:15.9179319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9179389Z     new_features = layer(features)
2025-10-10T00:51:15.9179610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9179738Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9179742Z 
2025-10-10T00:51:15.9179842Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9180046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9180110Z     return mod(*inputs)
2025-10-10T00:51:15.9180330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9180443Z     features = self.features(x)
2025-10-10T00:51:15.9180659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9180737Z     new_features = layer(features)
2025-10-10T00:51:15.9180954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9181062Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9181296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9181393Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9181397Z 
2025-10-10T00:51:15.9181537Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9181743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9181818Z     return mod(*inputs)
2025-10-10T00:51:15.9182051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9182137Z     features = self.features(x)
2025-10-10T00:51:15.9182366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9182440Z     new_features = layer(features)
2025-10-10T00:51:15.9182683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9182788Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9183032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9183206Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9183209Z 
2025-10-10T00:51:15.9183323Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9183533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9183603Z     return mod(*inputs)
2025-10-10T00:51:15.9183840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9183913Z     features = self.features(x)
2025-10-10T00:51:15.9184147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9184222Z     new_features = layer(features)
2025-10-10T00:51:15.9184459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9184576Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9184814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9184992Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9184998Z 
2025-10-10T00:51:15.9185105Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9185319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9185386Z     return mod(*inputs)
2025-10-10T00:51:15.9185614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9185695Z     features = self.features(x)
2025-10-10T00:51:15.9185923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9186003Z     new_features = layer(features)
2025-10-10T00:51:15.9186322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9186469Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9186518Z 
2025-10-10T00:51:15.9186638Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9186864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9186946Z     return mod(*inputs)
2025-10-10T00:51:15.9187188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9187269Z     features = self.features(x)
2025-10-10T00:51:15.9187526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9187605Z     new_features = layer(features)
2025-10-10T00:51:15.9187883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9188023Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9188027Z 
2025-10-10T00:51:15.9188142Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9188351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9188420Z     return mod(*inputs)
2025-10-10T00:51:15.9188658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9188732Z     features = self.features(x)
2025-10-10T00:51:15.9188969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9189042Z     new_features = layer(features)
2025-10-10T00:51:15.9189271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9189387Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9189629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9189730Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9189733Z 
2025-10-10T00:51:15.9189839Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9190044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9190120Z     return mod(*inputs)
2025-10-10T00:51:15.9190349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9190428Z     features = self.features(x)
2025-10-10T00:51:15.9190656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9190735Z     new_features = layer(features)
2025-10-10T00:51:15.9191189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9191306Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9191562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9191744Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9191748Z 
2025-10-10T00:51:15.9191865Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9192072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9192142Z     return mod(*inputs)
2025-10-10T00:51:15.9192383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9192458Z     features = self.features(x)
2025-10-10T00:51:15.9192702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9192787Z     new_features = layer(features)
2025-10-10T00:51:15.9193022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9193233Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9193472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9193650Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9193654Z 
2025-10-10T00:51:15.9193761Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9193970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9194038Z     return mod(*inputs)
2025-10-10T00:51:15.9194325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9194411Z     features = self.features(x)
2025-10-10T00:51:15.9194646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9194731Z     new_features = layer(features)
2025-10-10T00:51:15.9194961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9195098Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9195110Z 
2025-10-10T00:51:15.9195217Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9195421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9195499Z     return mod(*inputs)
2025-10-10T00:51:15.9195730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9195815Z     features = self.features(x)
2025-10-10T00:51:15.9196047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9196120Z     new_features = layer(features)
2025-10-10T00:51:15.9196361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9196499Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9196503Z 
2025-10-10T00:51:15.9196618Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9196822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9196890Z     return mod(*inputs)
2025-10-10T00:51:15.9197133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9197207Z     features = self.features(x)
2025-10-10T00:51:15.9197455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9197528Z     new_features = layer(features)
2025-10-10T00:51:15.9197755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9197871Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9198112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9198211Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9198214Z 
2025-10-10T00:51:15.9198320Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9198533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9198601Z     return mod(*inputs)
2025-10-10T00:51:15.9198836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9198917Z     features = self.features(x)
2025-10-10T00:51:15.9199151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9199272Z     new_features = layer(features)
2025-10-10T00:51:15.9199500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9199606Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9199854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9200034Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9200037Z 
2025-10-10T00:51:15.9200152Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9200357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9200463Z     return mod(*inputs)
2025-10-10T00:51:15.9200692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9200765Z     features = self.features(x)
2025-10-10T00:51:15.9201002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9201077Z     new_features = layer(features)
2025-10-10T00:51:15.9201310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9201414Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9201651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9201830Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9201834Z 
2025-10-10T00:51:15.9201946Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9202164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9202234Z     return mod(*inputs)
2025-10-10T00:51:15.9202488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9202563Z     features = self.features(x)
2025-10-10T00:51:15.9202789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9202871Z     new_features = layer(features)
2025-10-10T00:51:15.9203097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9203239Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9203243Z 
2025-10-10T00:51:15.9203349Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9203553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9203630Z     return mod(*inputs)
2025-10-10T00:51:15.9203861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9203944Z     features = self.features(x)
2025-10-10T00:51:15.9204172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9204244Z     new_features = layer(features)
2025-10-10T00:51:15.9204480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9204615Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9204619Z 
2025-10-10T00:51:15.9204732Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9204937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9205013Z     return mod(*inputs)
2025-10-10T00:51:15.9205244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9205353Z     features = self.features(x)
2025-10-10T00:51:15.9205598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9205671Z     new_features = layer(features)
2025-10-10T00:51:15.9205912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9206018Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9206263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9206362Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9206366Z 
2025-10-10T00:51:15.9206503Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9206715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9206781Z     return mod(*inputs)
2025-10-10T00:51:15.9207011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9207090Z     features = self.features(x)
2025-10-10T00:51:15.9207330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9207407Z     new_features = layer(features)
2025-10-10T00:51:15.9207621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9207728Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9207955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9208131Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9208135Z 
2025-10-10T00:51:15.9208250Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9208459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9208535Z     return mod(*inputs)
2025-10-10T00:51:15.9208766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9208838Z     features = self.features(x)
2025-10-10T00:51:15.9209075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9209149Z     new_features = layer(features)
2025-10-10T00:51:15.9209383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9209487Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9209733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9209905Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9209910Z 
2025-10-10T00:51:15.9210018Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9210233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9210300Z     return mod(*inputs)
2025-10-10T00:51:15.9210538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9210612Z     features = self.features(x)
2025-10-10T00:51:15.9210839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9210923Z     new_features = layer(features)
2025-10-10T00:51:15.9211153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9211300Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9211304Z 
2025-10-10T00:51:15.9211447Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9211660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9211731Z     return mod(*inputs)
2025-10-10T00:51:15.9211963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9212044Z     features = self.features(x)
2025-10-10T00:51:15.9212276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9212358Z     new_features = layer(features)
2025-10-10T00:51:15.9212625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9212765Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9212768Z 
2025-10-10T00:51:15.9212881Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9213086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9213161Z     return mod(*inputs)
2025-10-10T00:51:15.9213388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9213461Z     features = self.features(x)
2025-10-10T00:51:15.9213696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9213769Z     new_features = layer(features)
2025-10-10T00:51:15.9213999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9214106Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9214351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9214441Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9214447Z 
2025-10-10T00:51:15.9214552Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9214763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9214831Z     return mod(*inputs)
2025-10-10T00:51:15.9215065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9215137Z     features = self.features(x)
2025-10-10T00:51:15.9215365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9215448Z     new_features = layer(features)
2025-10-10T00:51:15.9215676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9215788Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9216025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9216198Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9216209Z 
2025-10-10T00:51:15.9216315Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9216519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9216594Z     return mod(*inputs)
2025-10-10T00:51:15.9216826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9216905Z     features = self.features(x)
2025-10-10T00:51:15.9217136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9217209Z     new_features = layer(features)
2025-10-10T00:51:15.9217444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9217588Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9217836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9218005Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9218009Z 
2025-10-10T00:51:15.9218123Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9218325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9218392Z     return mod(*inputs)
2025-10-10T00:51:15.9218665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9218740Z     features = self.features(x)
2025-10-10T00:51:15.9218977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9219055Z     new_features = layer(features)
2025-10-10T00:51:15.9219291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9219435Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9219439Z 
2025-10-10T00:51:15.9219545Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9219848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9219922Z     return mod(*inputs)
2025-10-10T00:51:15.9220149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9220222Z     features = self.features(x)
2025-10-10T00:51:15.9220457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9220531Z     new_features = layer(features)
2025-10-10T00:51:15.9220765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9220900Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9220903Z 
2025-10-10T00:51:15.9221010Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9221228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9221296Z     return mod(*inputs)
2025-10-10T00:51:15.9221532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9221605Z     features = self.features(x)
2025-10-10T00:51:15.9221843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9221916Z     new_features = layer(features)
2025-10-10T00:51:15.9222150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9222269Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9222506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9222602Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9222605Z 
2025-10-10T00:51:15.9222710Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9222921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9222995Z     return mod(*inputs)
2025-10-10T00:51:15.9223224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9223306Z     features = self.features(x)
2025-10-10T00:51:15.9223533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9223607Z     new_features = layer(features)
2025-10-10T00:51:15.9223881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9223988Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9224243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9224419Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9224422Z 
2025-10-10T00:51:15.9224540Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9224760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9224865Z     return mod(*inputs)
2025-10-10T00:51:15.9225112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9225187Z     features = self.features(x)
2025-10-10T00:51:15.9225434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9225510Z     new_features = layer(features)
2025-10-10T00:51:15.9225752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9225870Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9226184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9226383Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9226387Z 
2025-10-10T00:51:15.9226501Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9226723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9226795Z     return mod(*inputs)
2025-10-10T00:51:15.9227030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9227118Z     features = self.features(x)
2025-10-10T00:51:15.9227352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9227437Z     new_features = layer(features)
2025-10-10T00:51:15.9227687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9227826Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9227830Z 
2025-10-10T00:51:15.9227943Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9228162Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9228241Z     return mod(*inputs)
2025-10-10T00:51:15.9228469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9228544Z     features = self.features(x)
2025-10-10T00:51:15.9228780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9228855Z     new_features = layer(features)
2025-10-10T00:51:15.9229090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9229227Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9229231Z 
2025-10-10T00:51:15.9229347Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9229549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9229620Z     return mod(*inputs)
2025-10-10T00:51:15.9229856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9229928Z     features = self.features(x)
2025-10-10T00:51:15.9230206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9230280Z     new_features = layer(features)
2025-10-10T00:51:15.9230509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9230625Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9230869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9230969Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9230973Z 
2025-10-10T00:51:15.9231081Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9231325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9231395Z     return mod(*inputs)
2025-10-10T00:51:15.9231623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9231706Z     features = self.features(x)
2025-10-10T00:51:15.9231932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9232015Z     new_features = layer(features)
2025-10-10T00:51:15.9232243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9232347Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9232591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9232764Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9232768Z 
2025-10-10T00:51:15.9232881Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9233083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9233155Z     return mod(*inputs)
2025-10-10T00:51:15.9233396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9233471Z     features = self.features(x)
2025-10-10T00:51:15.9233706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9233779Z     new_features = layer(features)
2025-10-10T00:51:15.9234010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9234114Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9234352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9234531Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9234537Z 
2025-10-10T00:51:15.9234643Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9234852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9234920Z     return mod(*inputs)
2025-10-10T00:51:15.9235145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9235225Z     features = self.features(x)
2025-10-10T00:51:15.9235450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9235529Z     new_features = layer(features)
2025-10-10T00:51:15.9235759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9235904Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9235907Z 
2025-10-10T00:51:15.9236014Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9236251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9236325Z     return mod(*inputs)
2025-10-10T00:51:15.9236554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9236634Z     features = self.features(x)
2025-10-10T00:51:15.9236863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9236936Z     new_features = layer(features)
2025-10-10T00:51:15.9237171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9237354Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9237358Z 
2025-10-10T00:51:15.9237471Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9237673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9237744Z     return mod(*inputs)
2025-10-10T00:51:15.9237980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9238053Z     features = self.features(x)
2025-10-10T00:51:15.9238284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9238357Z     new_features = layer(features)
2025-10-10T00:51:15.9238592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9238698Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9238940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-10-10T00:51:15.9239038Z     concated_features = torch.cat(inputs, 1)
2025-10-10T00:51:15.9239044Z 
2025-10-10T00:51:15.9239150Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9239361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9239431Z     return mod(*inputs)
2025-10-10T00:51:15.9239660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9239742Z     features = self.features(x)
2025-10-10T00:51:15.9239969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9240047Z     new_features = layer(features)
2025-10-10T00:51:15.9240261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9240362Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9240594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9240759Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9240763Z 
2025-10-10T00:51:15.9240871Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9241066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9241139Z     return mod(*inputs)
2025-10-10T00:51:15.9241355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9241424Z     features = self.features(x)
2025-10-10T00:51:15.9241649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9241720Z     new_features = layer(features)
2025-10-10T00:51:15.9241942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-10-10T00:51:15.9242085Z     bottleneck_output = self.bn_function(prev_features)
2025-10-10T00:51:15.9242309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-10-10T00:51:15.9242480Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-10-10T00:51:15.9242484Z 
2025-10-10T00:51:15.9242583Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9242783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9242847Z     return mod(*inputs)
2025-10-10T00:51:15.9243070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9243169Z     features = self.features(x)
2025-10-10T00:51:15.9243386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9243464Z     new_features = layer(features)
2025-10-10T00:51:15.9243681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9243817Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9243821Z 
2025-10-10T00:51:15.9243921Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9244111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9244182Z     return mod(*inputs)
2025-10-10T00:51:15.9244396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9244472Z     features = self.features(x)
2025-10-10T00:51:15.9244689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-10-10T00:51:15.9244765Z     new_features = layer(features)
2025-10-10T00:51:15.9244979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-10-10T00:51:15.9245110Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-10-10T00:51:15.9245114Z 
2025-10-10T00:51:15.9245202Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9245287Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9245374Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9245453Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9245531Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9245617Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9245696Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9245811Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9246019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9246088Z     return mod(*inputs)
2025-10-10T00:51:15.9246323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-10-10T00:51:15.9246397Z     features = self.features(x)
2025-10-10T00:51:15.9246635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-10-10T00:51:15.9246711Z     return torch.cat(features, 1)
2025-10-10T00:51:15.9246715Z 
2025-10-10T00:51:15.9246793Z cudagraph partition due to non gpu ops
2025-10-10T00:51:15.9246907Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9247108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9247191Z     return mod(*inputs)
2025-10-10T00:51:15.9247410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 215, in forward
2025-10-10T00:51:15.9247495Z     out = F.adaptive_avg_pool2d(out, (1, 1))
2025-10-10T00:51:15.9247498Z 
2025-10-10T00:51:15.9247604Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:15.9247834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:15.9247906Z     return mod(*inputs)
2025-10-10T00:51:15.9248122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/densenet.py", line 217, in forward
2025-10-10T00:51:15.9248205Z     out = self.classifier(out)
2025-10-10T00:51:15.9248209Z 
2025-10-10T00:51:33.4222856Z Compilation time (from dynamo_timed): 35.562342775
2025-10-10T00:51:33.4223198Z pass
2025-10-10T00:51:33.4223515Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:33.4224719Z TIMING: _recursive_pre_grad_passes:0.01362 _recursive_joint_graph_passes:0.5818 _recursive_post_grad_passes:0.21186 async_compile.wait:1.32117 code_gen:17.73561 inductor_compile:21.27015 backend_compile:27.76518 gc:0.0004 entire_frame_compile:35.56234 total_wall_time:35.56234
2025-10-10T00:51:33.4225748Z STATS: call_* op count: 431 | FakeTensorMode.__torch_dispatch__:16290 | FakeTensor.__torch_dispatch__:13782 | ProxyTorchDispatchMode.__torch_dispatch__:6341
2025-10-10T00:51:33.4226382Z Dynamo produced 1 graphs covering 431 ops with 0 graph breaks (0 unique)
2025-10-10T00:51:36.3047991Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:51:36.3048901Z   import pynvml  # type: ignore[import]
2025-10-10T00:51:38.5203938Z 
2025-10-10T00:51:38.7363592Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T00:51:38.7364296Z   what():  std::bad_array_new_length
2025-10-10T00:53:43.8201555Z Run failed with return code:  -6
2025-10-10T00:53:43.8204293Z Output:  None
2025-10-10T00:53:43.8204518Z Error:  None
2025-10-10T00:53:44.1145148Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:53:44.1146131Z   import pynvml  # type: ignore[import]
2025-10-10T00:53:46.2863473Z 
2025-10-10T00:53:46.5055476Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T00:53:46.5056811Z   what():  std::bad_array_new_length
2025-10-10T00:55:52.4077305Z Run failed with return code:  -6
2025-10-10T00:55:52.4077585Z Output:  None
2025-10-10T00:55:52.4077763Z Error:  None
2025-10-10T00:55:52.7039696Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:55:52.7041130Z   import pynvml  # type: ignore[import]
2025-10-10T00:55:54.9072291Z 
2025-10-10T00:55:55.1262142Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T00:55:55.1262574Z   what():  std::bad_array_new_length
2025-10-10T00:57:58.8312741Z Run failed with return code:  -6
2025-10-10T00:57:58.8316388Z Output:  None
2025-10-10T00:57:58.8316567Z Error:  None
2025-10-10T00:57:59.1262369Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:57:59.1263230Z   import pynvml  # type: ignore[import]
2025-10-10T00:58:01.3709595Z 
2025-10-10T00:58:01.5888083Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T00:58:01.5888993Z   what():  std::bad_array_new_length
2025-10-10T01:00:06.2638244Z Run failed with return code:  -6
2025-10-10T01:00:06.2638566Z Output:  None
2025-10-10T01:00:06.2638960Z Error:  None
2025-10-10T01:00:06.5618482Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:00:06.5619476Z   import pynvml  # type: ignore[import]
2025-10-10T01:00:08.7716016Z 
2025-10-10T01:00:08.9897209Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:00:08.9898577Z   what():  std::bad_array_new_length
2025-10-10T01:02:14.1990515Z Run failed with return code:  -6
2025-10-10T01:02:14.1990826Z Output:  None
2025-10-10T01:02:14.1992605Z Error:  None
2025-10-10T01:02:14.4952736Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:02:14.4953871Z   import pynvml  # type: ignore[import]
2025-10-10T01:02:16.7025323Z 
2025-10-10T01:02:16.9256549Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:02:16.9256974Z   what():  std::bad_array_new_length
2025-10-10T01:04:21.8364217Z Run failed with return code:  -6
2025-10-10T01:04:21.8369071Z Output:  None
2025-10-10T01:04:21.8369715Z Error:  None
2025-10-10T01:04:22.1334470Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:04:22.1335379Z   import pynvml  # type: ignore[import]
2025-10-10T01:04:24.3397391Z 
2025-10-10T01:04:24.5567855Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:04:24.5568496Z   what():  std::bad_array_new_length
2025-10-10T01:06:29.6738671Z Run failed with return code:  -6
2025-10-10T01:06:29.6738987Z Output:  None
2025-10-10T01:06:29.6739201Z Error:  None
2025-10-10T01:06:29.9687316Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:06:29.9688754Z   import pynvml  # type: ignore[import]
2025-10-10T01:06:32.2384339Z 
2025-10-10T01:06:32.4557963Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:06:32.4558413Z   what():  std::bad_array_new_length
2025-10-10T01:08:38.6169371Z Run failed with return code:  -6
2025-10-10T01:08:38.6169730Z Output:  None
2025-10-10T01:08:38.6169911Z Error:  None
2025-10-10T01:08:38.9374852Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:08:38.9375754Z   import pynvml  # type: ignore[import]
2025-10-10T01:08:41.1342009Z 
2025-10-10T01:08:41.3490283Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:08:41.3490739Z   what():  std::bad_array_new_length
2025-10-10T01:10:47.0590464Z Run failed with return code:  -6
2025-10-10T01:10:47.0593455Z Output:  None
2025-10-10T01:10:47.0594070Z Error:  None
2025-10-10T01:10:47.3546874Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:10:47.3548452Z   import pynvml  # type: ignore[import]
2025-10-10T01:10:49.5696911Z 
2025-10-10T01:10:49.7911268Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:10:49.7911748Z   what():  std::bad_array_new_length
2025-10-10T01:12:55.2425245Z Run failed with return code:  -6
2025-10-10T01:12:55.2427734Z Output:  None
2025-10-10T01:12:55.2427982Z Error:  None
2025-10-10T01:12:55.5415377Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:12:55.5416952Z   import pynvml  # type: ignore[import]
2025-10-10T01:12:57.7269590Z 
2025-10-10T01:12:57.9410347Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-10-10T01:15:04.9318032Z   what():  std::bad_array_new_length
2025-10-10T01:15:04.9318380Z Run failed with return code:  -6
2025-10-10T01:15:04.9318611Z Output:  None
2025-10-10T01:15:04.9318791Z Error:  None
2025-10-10T01:15:05.2325724Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:15:05.2326632Z   import pynvml  # type: ignore[import]
2025-10-10T01:15:07.4586233Z 
2025-10-10T01:15:13.6094038Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:15:13.6094352Z loading model: 0it [00:06, ?it/s]
2025-10-10T01:15:13.6094797Z cpu  eval  dlrm                               
2025-10-10T01:15:14.1617127Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:15:14.3526071Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:15:14.5666686Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:15:17.4039490Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4043963Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4046097Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4046493Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4052676Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4053003Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4053233Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4053586Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4053966Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4054891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4055300Z     return mod(*inputs)
2025-10-10T01:15:17.4055624Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4058225Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4058823Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-10-10T01:15:17.4059348Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-10-10T01:15:17.4059814Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4060188Z     return layers(x)
2025-10-10T01:15:17.4060335Z 
2025-10-10T01:15:17.4060462Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4060893Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4061668Z     return mod(*inputs)
2025-10-10T01:15:17.4061975Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4062343Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4062720Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:15:17.4063144Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:15:17.4063507Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:15:17.4063902Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:15:17.4064093Z 
2025-10-10T01:15:17.4064318Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4064727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4065081Z     return mod(*inputs)
2025-10-10T01:15:17.4065396Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4065774Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4066408Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:15:17.4066795Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:15:17.4067159Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:15:17.4067541Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:15:17.4067728Z 
2025-10-10T01:15:17.4067845Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4068245Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4068653Z     return mod(*inputs)
2025-10-10T01:15:17.4068961Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4069334Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4069719Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:15:17.4070096Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:15:17.4070452Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:15:17.4070828Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:15:17.4071005Z 
2025-10-10T01:15:17.4071119Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4071514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4071867Z     return mod(*inputs)
2025-10-10T01:15:17.4072172Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4072526Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4072906Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:15:17.4073280Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:15:17.4073632Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:15:17.4074004Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:15:17.4074176Z 
2025-10-10T01:15:17.4074285Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4074677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4075025Z     return mod(*inputs)
2025-10-10T01:15:17.4075327Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4075686Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4076067Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:15:17.4076434Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:15:17.4076874Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:15:17.4077241Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:15:17.4077419Z 
2025-10-10T01:15:17.4077531Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4077921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4078261Z     return mod(*inputs)
2025-10-10T01:15:17.4078568Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4078925Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4079342Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:15:17.4079712Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:15:17.4080075Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:15:17.4080439Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:15:17.4080618Z 
2025-10-10T01:15:17.4080728Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4081103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4081433Z     return mod(*inputs)
2025-10-10T01:15:17.4081720Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4082069Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4082437Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:15:17.4082795Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:15:17.4083119Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:15:17.4083477Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:15:17.4083659Z 
2025-10-10T01:15:17.4083766Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4084142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4084469Z     return mod(*inputs)
2025-10-10T01:15:17.4084758Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4085106Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4085477Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-10-10T01:15:17.4085832Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-10-10T01:15:17.4086155Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-10-10T01:15:17.4086515Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-10-10T01:15:17.4086690Z 
2025-10-10T01:15:17.4086800Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4087181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4087520Z     return mod(*inputs)
2025-10-10T01:15:17.4087800Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4088144Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4088511Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-10-10T01:15:17.4088862Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-10-10T01:15:17.4089182Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4089492Z     return layers(x)
2025-10-10T01:15:17.4089607Z 
2025-10-10T01:15:17.4089715Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4090086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4090454Z     return mod(*inputs)
2025-10-10T01:15:17.4090740Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4091469Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4091844Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-10-10T01:15:17.4092203Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-10-10T01:15:17.4092530Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4092847Z     return layers(x)
2025-10-10T01:15:17.4092962Z 
2025-10-10T01:15:17.4093054Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4093287Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4093575Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4093798Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4094018Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4094235Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4094450Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4094672Z cudagraph partition due to non gpu ops
2025-10-10T01:15:17.4094923Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4095306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4095651Z     return mod(*inputs)
2025-10-10T01:15:17.4095934Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4096289Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4096659Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-10-10T01:15:17.4097017Z     z = self.interact_features(x, ly)
2025-10-10T01:15:17.4097355Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 318, in interact_features
2025-10-10T01:15:17.4097749Z     T = torch.cat([x] + ly, dim=1).view((batch_size, -1, d))
2025-10-10T01:15:17.4097935Z 
2025-10-10T01:15:17.4098046Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4098423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4098763Z     return mod(*inputs)
2025-10-10T01:15:17.4099045Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4099397Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4099773Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-10-10T01:15:17.4100123Z     z = self.interact_features(x, ly)
2025-10-10T01:15:17.4100466Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 320, in interact_features
2025-10-10T01:15:17.4100830Z     Z = torch.bmm(T, torch.transpose(T, 1, 2))
2025-10-10T01:15:17.4100988Z 
2025-10-10T01:15:17.4101108Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4101479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4101823Z     return mod(*inputs)
2025-10-10T01:15:17.4102112Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4102463Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4102826Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-10-10T01:15:17.4103180Z     z = self.interact_features(x, ly)
2025-10-10T01:15:17.4103522Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 337, in interact_features
2025-10-10T01:15:17.4103863Z     Zflat = Z[:, li, lj]
2025-10-10T01:15:17.4103975Z 
2025-10-10T01:15:17.4104095Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4104466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4104807Z     return mod(*inputs)
2025-10-10T01:15:17.4105153Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4105504Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4105868Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-10-10T01:15:17.4106291Z     z = self.interact_features(x, ly)
2025-10-10T01:15:17.4106649Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 339, in interact_features
2025-10-10T01:15:17.4107008Z     R = torch.cat([x] + [Zflat], dim=1)
2025-10-10T01:15:17.4107148Z 
2025-10-10T01:15:17.4107269Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4107720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4108066Z     return mod(*inputs)
2025-10-10T01:15:17.4108354Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4108713Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4109083Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:15:17.4109441Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:15:17.4109774Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4110099Z     return layers(x)
2025-10-10T01:15:17.4110205Z 
2025-10-10T01:15:17.4110325Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4110701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4111048Z     return mod(*inputs)
2025-10-10T01:15:17.4111345Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4111703Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4112078Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:15:17.4112445Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:15:17.4112779Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4113105Z     return layers(x)
2025-10-10T01:15:17.4113212Z 
2025-10-10T01:15:17.4113331Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4113709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4114058Z     return mod(*inputs)
2025-10-10T01:15:17.4114355Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4114717Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4115093Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:15:17.4115454Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:15:17.4115785Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4116111Z     return layers(x)
2025-10-10T01:15:17.4116218Z 
2025-10-10T01:15:17.4116335Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4116711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4117052Z     return mod(*inputs)
2025-10-10T01:15:17.4117346Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4117703Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4118073Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:15:17.4118431Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:15:17.4118763Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4119089Z     return layers(x)
2025-10-10T01:15:17.4119195Z 
2025-10-10T01:15:17.4119313Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4119729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4120088Z     return mod(*inputs)
2025-10-10T01:15:17.4120379Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4120724Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4121086Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:15:17.4121437Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:15:17.4121763Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4122078Z     return layers(x)
2025-10-10T01:15:17.4122212Z 
2025-10-10T01:15:17.4122328Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4122694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4123040Z     return mod(*inputs)
2025-10-10T01:15:17.4123325Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4123671Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4124031Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:15:17.4124384Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:15:17.4124705Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4125020Z     return layers(x)
2025-10-10T01:15:17.4125122Z 
2025-10-10T01:15:17.4125228Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4125600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4125934Z     return mod(*inputs)
2025-10-10T01:15:17.4126220Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4126572Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4126932Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:15:17.4127278Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:15:17.4127604Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4127922Z     return layers(x)
2025-10-10T01:15:17.4128022Z 
2025-10-10T01:15:17.4128130Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:15:17.4128504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:15:17.4128838Z     return mod(*inputs)
2025-10-10T01:15:17.4129126Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-10-10T01:15:17.4129477Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-10-10T01:15:17.4129839Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-10-10T01:15:17.4130195Z     p = self.apply_mlp(z, self.top_l)
2025-10-10T01:15:17.4130516Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-10-10T01:15:17.4130831Z     return layers(x)
2025-10-10T01:15:17.4130933Z 
2025-10-10T01:15:25.7585168Z Compilation time (from dynamo_timed): 10.033615871
2025-10-10T01:15:25.7585491Z pass
2025-10-10T01:15:25.7585805Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:15:25.7587025Z TIMING: _recursive_pre_grad_passes:0.00425 _recursive_joint_graph_passes:0.35451 _recursive_post_grad_passes:0.01887 async_compile.wait:0.54382 code_gen:8.22136 inductor_compile:8.38541 backend_compile:9.6076 gc:0.00117 entire_frame_compile:10.03362 total_wall_time:10.03362
2025-10-10T01:15:25.7588028Z STATS: call_* op count: 36 | FakeTensorMode.__torch_dispatch__:1227 | FakeTensor.__torch_dispatch__:365 | ProxyTorchDispatchMode.__torch_dispatch__:192
2025-10-10T01:15:25.7588837Z Dynamo produced 1 graphs covering 36 ops with 0 graph breaks (0 unique)
2025-10-10T01:15:27.6205870Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:15:27.6207400Z   import pynvml  # type: ignore[import]
2025-10-10T01:15:29.8389970Z 
2025-10-10T01:15:31.0279550Z loading model: 0it [00:00, ?it/s]Downloading https://doctr-static.mindee.com/models?id=v0.7.0/db_resnet50-79bd7d70.pt&src=0 to /var/lib/jenkins/.cache/doctr/models/db_resnet50-79bd7d70.pt
2025-10-10T01:15:31.3939625Z 
2025-10-10T01:15:31.3940486Z 
2025-10-10T01:15:31.4968549Z   0% 0/102021912 [00:00<?, ?it/s]
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2025-10-10T01:15:31.7182796Z  14% 13979648/102021912 [00:00<00:00, 136167050.29it/s]
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2025-10-10T01:15:32.0553608Z  93% 94372864/102021912 [00:00<00:00, 175558139.74it/s]
2025-10-10T01:15:32.0553949Z 102022144it [00:00, 154390142.20it/s]                  
2025-10-10T01:15:33.2580341Z Downloading https://doctr-static.mindee.com/models?id=v0.12.0/crnn_vgg16_bn-0417f351.pt&src=0 to /var/lib/jenkins/.cache/doctr/models/crnn_vgg16_bn-0417f351.pt
2025-10-10T01:15:33.5078071Z 
2025-10-10T01:15:33.5079379Z 
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2025-10-10T01:15:33.7089790Z  32% 20183040/63303144 [00:00<00:00, 200877045.53it/s]
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2025-10-10T01:15:33.8129912Z  65% 41432064/63303144 [00:00<00:00, 207154064.88it/s]
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2025-10-10T01:15:33.8173304Z  98% 62147584/63303144 [00:00<00:00, 203604111.61it/s]
2025-10-10T01:15:33.8173766Z 63303680it [00:00, 204617608.64it/s]                  
2025-10-10T01:15:36.3975214Z 
2025-10-10T01:15:36.3978698Z loading model: 0it [00:06, ?it/s]
2025-10-10T01:15:36.3992774Z cpu  eval  doctr_det_predictor                
2025-10-10T01:15:53.0013189Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:15:56.3654614Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:15:59.7333851Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:16:15.3028259Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3028772Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3029057Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3029457Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3029780Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3030102Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3030429Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3030764Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3031082Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3031394Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3031712Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3031974Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3032345Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3032832Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3033101Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3033421Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3033669Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3034032Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3034731Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3035045Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3035316Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3035549Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3035921Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3036152Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3036413Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3041888Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3042381Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3042969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3043348Z     x = module(x)
2025-10-10T01:16:15.3046276Z 
2025-10-10T01:16:15.3046620Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3047166Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3047652Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3048024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3048382Z     x = module(x)
2025-10-10T01:16:15.3048492Z 
2025-10-10T01:16:15.3048606Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3049104Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3049569Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3049935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3050389Z     x = module(x)
2025-10-10T01:16:15.3050495Z 
2025-10-10T01:16:15.3050607Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3051096Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3051562Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3051933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3052330Z     x = module(x)
2025-10-10T01:16:15.3052660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3053024Z     out = self.conv1(x)
2025-10-10T01:16:15.3053143Z 
2025-10-10T01:16:15.3053266Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3053772Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3054249Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3054631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3055003Z     x = module(x)
2025-10-10T01:16:15.3055329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3055686Z     out = self.relu(out)
2025-10-10T01:16:15.3055808Z 
2025-10-10T01:16:15.3055915Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3056403Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3056866Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3057223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3057568Z     x = module(x)
2025-10-10T01:16:15.3057898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3058334Z     out = self.conv2(out)
2025-10-10T01:16:15.3058457Z 
2025-10-10T01:16:15.3058575Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3059075Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3059576Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3059960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3060328Z     x = module(x)
2025-10-10T01:16:15.3060688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3061102Z     out = self.relu(out)
2025-10-10T01:16:15.3061228Z 
2025-10-10T01:16:15.3061339Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3061846Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3062327Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3062724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3063080Z     x = module(x)
2025-10-10T01:16:15.3063413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3063791Z     out = self.conv3(out)
2025-10-10T01:16:15.3063911Z 
2025-10-10T01:16:15.3064029Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3064533Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3065015Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3065393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3065761Z     x = module(x)
2025-10-10T01:16:15.3066267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-10-10T01:16:15.3066662Z     identity = self.downsample(x)
2025-10-10T01:16:15.3066809Z 
2025-10-10T01:16:15.3066920Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3067427Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3067904Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3068264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3068633Z     x = module(x)
2025-10-10T01:16:15.3068978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3069353Z     out = self.conv1(x)
2025-10-10T01:16:15.3069472Z 
2025-10-10T01:16:15.3069593Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3070095Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3070570Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3070928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3071279Z     x = module(x)
2025-10-10T01:16:15.3071604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3071957Z     out = self.relu(out)
2025-10-10T01:16:15.3072079Z 
2025-10-10T01:16:15.3072190Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3072682Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3073189Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3073542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3073900Z     x = module(x)
2025-10-10T01:16:15.3074230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3074596Z     out = self.conv2(out)
2025-10-10T01:16:15.3074713Z 
2025-10-10T01:16:15.3074829Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3075317Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3075821Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3076177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3076527Z     x = module(x)
2025-10-10T01:16:15.3076844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3077211Z     out = self.relu(out)
2025-10-10T01:16:15.3077329Z 
2025-10-10T01:16:15.3077435Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3077922Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3078380Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3078726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3079078Z     x = module(x)
2025-10-10T01:16:15.3079404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3079768Z     out = self.conv3(out)
2025-10-10T01:16:15.3079881Z 
2025-10-10T01:16:15.3079995Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3080479Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3080941Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3081297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3081648Z     x = module(x)
2025-10-10T01:16:15.3081965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3082325Z     out = self.relu(out)
2025-10-10T01:16:15.3082444Z 
2025-10-10T01:16:15.3082552Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3083047Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3083523Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3083884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3084244Z     x = module(x)
2025-10-10T01:16:15.3084572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3084931Z     out = self.conv1(x)
2025-10-10T01:16:15.3085039Z 
2025-10-10T01:16:15.3085152Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3085634Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3086092Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3086446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3086817Z     x = module(x)
2025-10-10T01:16:15.3087136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3087532Z     out = self.relu(out)
2025-10-10T01:16:15.3087649Z 
2025-10-10T01:16:15.3087757Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3088250Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3088713Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3089064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3089422Z     x = module(x)
2025-10-10T01:16:15.3089752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3090113Z     out = self.conv2(out)
2025-10-10T01:16:15.3090258Z 
2025-10-10T01:16:15.3090375Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3090855Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3091633Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3092000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3092359Z     x = module(x)
2025-10-10T01:16:15.3092678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3093049Z     out = self.relu(out)
2025-10-10T01:16:15.3093169Z 
2025-10-10T01:16:15.3093276Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3093774Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3094244Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3094598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3094951Z     x = module(x)
2025-10-10T01:16:15.3095280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3095642Z     out = self.conv3(out)
2025-10-10T01:16:15.3095761Z 
2025-10-10T01:16:15.3095867Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3096367Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3096824Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3097182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3097535Z     x = module(x)
2025-10-10T01:16:15.3097860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3098226Z     out = self.relu(out)
2025-10-10T01:16:15.3098347Z 
2025-10-10T01:16:15.3098455Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3098949Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3099423Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3099774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3100128Z     x = module(x)
2025-10-10T01:16:15.3100453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3100815Z     out = self.conv1(x)
2025-10-10T01:16:15.3100924Z 
2025-10-10T01:16:15.3101031Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3101525Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3101986Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3102451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3102807Z     x = module(x)
2025-10-10T01:16:15.3103129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3103497Z     out = self.relu(out)
2025-10-10T01:16:15.3103617Z 
2025-10-10T01:16:15.3103727Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3104227Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3104694Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3105143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3105504Z     x = module(x)
2025-10-10T01:16:15.3105836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3106295Z     out = self.conv2(out)
2025-10-10T01:16:15.3106422Z 
2025-10-10T01:16:15.3106535Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3107068Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3107557Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3107919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3108282Z     x = module(x)
2025-10-10T01:16:15.3108603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3108979Z     out = self.relu(out)
2025-10-10T01:16:15.3109100Z 
2025-10-10T01:16:15.3109211Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3109707Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3110179Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3110532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3110889Z     x = module(x)
2025-10-10T01:16:15.3111219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3111586Z     out = self.conv3(out)
2025-10-10T01:16:15.3111700Z 
2025-10-10T01:16:15.3111807Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3112303Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3112766Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3113124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3113478Z     x = module(x)
2025-10-10T01:16:15.3113797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-10-10T01:16:15.3114171Z     identity = self.downsample(x)
2025-10-10T01:16:15.3114309Z 
2025-10-10T01:16:15.3114415Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3114905Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3115362Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3115721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3116076Z     x = module(x)
2025-10-10T01:16:15.3116409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3116776Z     out = self.conv1(x)
2025-10-10T01:16:15.3116883Z 
2025-10-10T01:16:15.3117031Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3117523Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3117999Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3118363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3118723Z     x = module(x)
2025-10-10T01:16:15.3119052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3119418Z     out = self.relu(out)
2025-10-10T01:16:15.3119530Z 
2025-10-10T01:16:15.3119681Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3120170Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3120620Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3120983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3121342Z     x = module(x)
2025-10-10T01:16:15.3121671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3122034Z     out = self.conv2(out)
2025-10-10T01:16:15.3122151Z 
2025-10-10T01:16:15.3122260Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3122751Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3123212Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3123569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3123915Z     x = module(x)
2025-10-10T01:16:15.3124241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3124613Z     out = self.relu(out)
2025-10-10T01:16:15.3124723Z 
2025-10-10T01:16:15.3124837Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3125326Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3125778Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3126133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3126486Z     x = module(x)
2025-10-10T01:16:15.3126815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3127180Z     out = self.conv3(out)
2025-10-10T01:16:15.3127293Z 
2025-10-10T01:16:15.3127399Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3127899Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3128376Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3128730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3129077Z     x = module(x)
2025-10-10T01:16:15.3129405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3129767Z     out = self.relu(out)
2025-10-10T01:16:15.3129878Z 
2025-10-10T01:16:15.3129994Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3130496Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3130952Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3131307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3131701Z     x = module(x)
2025-10-10T01:16:15.3132023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3132383Z     out = self.conv1(x)
2025-10-10T01:16:15.3132492Z 
2025-10-10T01:16:15.3132599Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3133095Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3133555Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3133911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3134303Z     x = module(x)
2025-10-10T01:16:15.3134630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3134995Z     out = self.relu(out)
2025-10-10T01:16:15.3135107Z 
2025-10-10T01:16:15.3135224Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3135713Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3136165Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3136526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3136879Z     x = module(x)
2025-10-10T01:16:15.3137189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3137525Z     out = self.conv2(out)
2025-10-10T01:16:15.3137640Z 
2025-10-10T01:16:15.3137745Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3138209Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3138651Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3138987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3139311Z     x = module(x)
2025-10-10T01:16:15.3139618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3139962Z     out = self.relu(out)
2025-10-10T01:16:15.3140064Z 
2025-10-10T01:16:15.3140173Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3140639Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3141074Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3141408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3141740Z     x = module(x)
2025-10-10T01:16:15.3142052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3142390Z     out = self.conv3(out)
2025-10-10T01:16:15.3142507Z 
2025-10-10T01:16:15.3142607Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3143069Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3143515Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3143874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3144218Z     x = module(x)
2025-10-10T01:16:15.3144550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3144912Z     out = self.relu(out)
2025-10-10T01:16:15.3145019Z 
2025-10-10T01:16:15.3145133Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3146471Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3146948Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3147323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3147681Z     x = module(x)
2025-10-10T01:16:15.3148008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3148343Z     out = self.conv1(x)
2025-10-10T01:16:15.3148454Z 
2025-10-10T01:16:15.3148557Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3149084Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3149552Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3149905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3150240Z     x = module(x)
2025-10-10T01:16:15.3150552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3150898Z     out = self.relu(out)
2025-10-10T01:16:15.3151002Z 
2025-10-10T01:16:15.3151114Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3151585Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3152059Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3152426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3152786Z     x = module(x)
2025-10-10T01:16:15.3153116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3153477Z     out = self.conv2(out)
2025-10-10T01:16:15.3153600Z 
2025-10-10T01:16:15.3153710Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3154204Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3154680Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3155040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3155401Z     x = module(x)
2025-10-10T01:16:15.3155738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3156103Z     out = self.relu(out)
2025-10-10T01:16:15.3156216Z 
2025-10-10T01:16:15.3156332Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3156817Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3157282Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3157638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3158006Z     x = module(x)
2025-10-10T01:16:15.3158335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3158695Z     out = self.conv3(out)
2025-10-10T01:16:15.3158816Z 
2025-10-10T01:16:15.3158922Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3159415Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3159886Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3160243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3160588Z     x = module(x)
2025-10-10T01:16:15.3160951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3161313Z     out = self.relu(out)
2025-10-10T01:16:15.3161421Z 
2025-10-10T01:16:15.3161538Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3162019Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3162487Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3162847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3163198Z     x = module(x)
2025-10-10T01:16:15.3163554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3163912Z     out = self.conv1(x)
2025-10-10T01:16:15.3164032Z 
2025-10-10T01:16:15.3164142Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3164640Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3165105Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3165467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3165814Z     x = module(x)
2025-10-10T01:16:15.3166138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3166480Z     out = self.relu(out)
2025-10-10T01:16:15.3166582Z 
2025-10-10T01:16:15.3166690Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3167149Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3167588Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3167929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3168262Z     x = module(x)
2025-10-10T01:16:15.3168574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3168913Z     out = self.conv2(out)
2025-10-10T01:16:15.3169031Z 
2025-10-10T01:16:15.3169135Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3169605Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3170045Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3170380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3170715Z     x = module(x)
2025-10-10T01:16:15.3171025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3171376Z     out = self.relu(out)
2025-10-10T01:16:15.3171480Z 
2025-10-10T01:16:15.3171589Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3172044Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3172481Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3172814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3173146Z     x = module(x)
2025-10-10T01:16:15.3173454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3173792Z     out = self.conv3(out)
2025-10-10T01:16:15.3173911Z 
2025-10-10T01:16:15.3174020Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3174515Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3174989Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3175315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3175646Z     x = module(x)
2025-10-10T01:16:15.3175954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-10-10T01:16:15.3176304Z     identity = self.downsample(x)
2025-10-10T01:16:15.3176430Z 
2025-10-10T01:16:15.3176537Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3177024Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3177464Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3177804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3178143Z     x = module(x)
2025-10-10T01:16:15.3178446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3178787Z     out = self.conv1(x)
2025-10-10T01:16:15.3178895Z 
2025-10-10T01:16:15.3178998Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3179462Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3179896Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3180225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3180560Z     x = module(x)
2025-10-10T01:16:15.3180863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3181203Z     out = self.relu(out)
2025-10-10T01:16:15.3181305Z 
2025-10-10T01:16:15.3181413Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3181867Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3182303Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3182645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3182977Z     x = module(x)
2025-10-10T01:16:15.3183280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3183683Z     out = self.conv2(out)
2025-10-10T01:16:15.3183805Z 
2025-10-10T01:16:15.3183918Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3184418Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3184893Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3185253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3185616Z     x = module(x)
2025-10-10T01:16:15.3185943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3186417Z     out = self.relu(out)
2025-10-10T01:16:15.3186531Z 
2025-10-10T01:16:15.3186648Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3187131Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3187598Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3187970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3188334Z     x = module(x)
2025-10-10T01:16:15.3188655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3189070Z     out = self.conv3(out)
2025-10-10T01:16:15.3189198Z 
2025-10-10T01:16:15.3189308Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3189813Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3190289Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3190643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3191178Z     x = module(x)
2025-10-10T01:16:15.3191579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3191953Z     out = self.relu(out)
2025-10-10T01:16:15.3192065Z 
2025-10-10T01:16:15.3192171Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3192664Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3193133Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3193488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3193857Z     x = module(x)
2025-10-10T01:16:15.3194176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3194550Z     out = self.conv1(x)
2025-10-10T01:16:15.3194669Z 
2025-10-10T01:16:15.3194777Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3195274Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3195733Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3196076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3196436Z     x = module(x)
2025-10-10T01:16:15.3196739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3197083Z     out = self.relu(out)
2025-10-10T01:16:15.3197194Z 
2025-10-10T01:16:15.3197293Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3197746Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3198175Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3198499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3198825Z     x = module(x)
2025-10-10T01:16:15.3199114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3199450Z     out = self.conv2(out)
2025-10-10T01:16:15.3199563Z 
2025-10-10T01:16:15.3199662Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3200113Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3200535Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3200852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3201175Z     x = module(x)
2025-10-10T01:16:15.3201473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3201806Z     out = self.relu(out)
2025-10-10T01:16:15.3201906Z 
2025-10-10T01:16:15.3202008Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3202457Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3202940Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3203270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3203593Z     x = module(x)
2025-10-10T01:16:15.3203887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3204227Z     out = self.conv3(out)
2025-10-10T01:16:15.3204341Z 
2025-10-10T01:16:15.3204441Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3204895Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3205362Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3205688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3206013Z     x = module(x)
2025-10-10T01:16:15.3206318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3206646Z     out = self.relu(out)
2025-10-10T01:16:15.3206749Z 
2025-10-10T01:16:15.3206847Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3207301Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3207741Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3208082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3208414Z     x = module(x)
2025-10-10T01:16:15.3208716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3209059Z     out = self.conv1(x)
2025-10-10T01:16:15.3209179Z 
2025-10-10T01:16:15.3209280Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3209736Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3210151Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3210478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3210800Z     x = module(x)
2025-10-10T01:16:15.3211100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3211432Z     out = self.relu(out)
2025-10-10T01:16:15.3211532Z 
2025-10-10T01:16:15.3211630Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3212078Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3212495Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3212822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3213147Z     x = module(x)
2025-10-10T01:16:15.3213435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3213764Z     out = self.conv2(out)
2025-10-10T01:16:15.3213866Z 
2025-10-10T01:16:15.3213973Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3214421Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3214838Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3215168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3215490Z     x = module(x)
2025-10-10T01:16:15.3215792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3216172Z     out = self.relu(out)
2025-10-10T01:16:15.3216272Z 
2025-10-10T01:16:15.3216372Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3216827Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3217259Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3217598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3217937Z     x = module(x)
2025-10-10T01:16:15.3218241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3218616Z     out = self.conv3(out)
2025-10-10T01:16:15.3218762Z 
2025-10-10T01:16:15.3218881Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3219369Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3219822Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3220159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3220490Z     x = module(x)
2025-10-10T01:16:15.3220796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3221153Z     out = self.relu(out)
2025-10-10T01:16:15.3221256Z 
2025-10-10T01:16:15.3221360Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3221818Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3222257Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3222595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3222924Z     x = module(x)
2025-10-10T01:16:15.3223234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3223594Z     out = self.conv1(x)
2025-10-10T01:16:15.3223700Z 
2025-10-10T01:16:15.3223817Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3224315Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3224768Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3225125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3225482Z     x = module(x)
2025-10-10T01:16:15.3225816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3226269Z     out = self.relu(out)
2025-10-10T01:16:15.3226382Z 
2025-10-10T01:16:15.3226495Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3227016Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3227509Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3227902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3228260Z     x = module(x)
2025-10-10T01:16:15.3228597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3228948Z     out = self.conv2(out)
2025-10-10T01:16:15.3229060Z 
2025-10-10T01:16:15.3229175Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3229652Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3230118Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3230524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3230882Z     x = module(x)
2025-10-10T01:16:15.3231208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3231561Z     out = self.relu(out)
2025-10-10T01:16:15.3231679Z 
2025-10-10T01:16:15.3231786Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3232275Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3232712Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3233081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3233410Z     x = module(x)
2025-10-10T01:16:15.3233721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3234070Z     out = self.conv3(out)
2025-10-10T01:16:15.3234177Z 
2025-10-10T01:16:15.3234287Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3234757Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3235189Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3235529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3235872Z     x = module(x)
2025-10-10T01:16:15.3236180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3236521Z     out = self.relu(out)
2025-10-10T01:16:15.3236636Z 
2025-10-10T01:16:15.3236839Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3237313Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3237756Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3238101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3238457Z     x = module(x)
2025-10-10T01:16:15.3238790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3239160Z     out = self.conv1(x)
2025-10-10T01:16:15.3239271Z 
2025-10-10T01:16:15.3239389Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3239890Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3240354Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3240718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3241077Z     x = module(x)
2025-10-10T01:16:15.3241405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3241771Z     out = self.relu(out)
2025-10-10T01:16:15.3241887Z 
2025-10-10T01:16:15.3241995Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3242489Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3242956Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3243312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3243659Z     x = module(x)
2025-10-10T01:16:15.3243992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3244357Z     out = self.conv2(out)
2025-10-10T01:16:15.3244469Z 
2025-10-10T01:16:15.3244630Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3245118Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3245571Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3245925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3246281Z     x = module(x)
2025-10-10T01:16:15.3246603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3246954Z     out = self.relu(out)
2025-10-10T01:16:15.3247072Z 
2025-10-10T01:16:15.3247209Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3247698Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3248156Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3248515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3248860Z     x = module(x)
2025-10-10T01:16:15.3249186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3249547Z     out = self.conv3(out)
2025-10-10T01:16:15.3249659Z 
2025-10-10T01:16:15.3249774Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3250278Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3250703Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3251056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3251414Z     x = module(x)
2025-10-10T01:16:15.3251738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3252097Z     out = self.relu(out)
2025-10-10T01:16:15.3252213Z 
2025-10-10T01:16:15.3252323Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3252816Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3253280Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3253638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3253982Z     x = module(x)
2025-10-10T01:16:15.3254313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3254675Z     out = self.conv1(x)
2025-10-10T01:16:15.3254783Z 
2025-10-10T01:16:15.3254898Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3255379Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3255846Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3256200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3256566Z     x = module(x)
2025-10-10T01:16:15.3256891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3257254Z     out = self.relu(out)
2025-10-10T01:16:15.3257372Z 
2025-10-10T01:16:15.3257480Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3257983Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3258445Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3258804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3259198Z     x = module(x)
2025-10-10T01:16:15.3259522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3259894Z     out = self.conv2(out)
2025-10-10T01:16:15.3260005Z 
2025-10-10T01:16:15.3260117Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3260598Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3261056Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3261409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3261805Z     x = module(x)
2025-10-10T01:16:15.3262137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3262504Z     out = self.relu(out)
2025-10-10T01:16:15.3262628Z 
2025-10-10T01:16:15.3262738Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3263242Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3263720Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3264092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3264445Z     x = module(x)
2025-10-10T01:16:15.3264782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3265152Z     out = self.conv3(out)
2025-10-10T01:16:15.3265266Z 
2025-10-10T01:16:15.3265387Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3265886Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3266445Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3266822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3267195Z     x = module(x)
2025-10-10T01:16:15.3267525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-10-10T01:16:15.3267891Z     identity = self.downsample(x)
2025-10-10T01:16:15.3268026Z 
2025-10-10T01:16:15.3268129Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3268644Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3269128Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3269502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3269859Z     x = module(x)
2025-10-10T01:16:15.3270196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3270571Z     out = self.conv1(x)
2025-10-10T01:16:15.3270683Z 
2025-10-10T01:16:15.3270803Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3271298Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3271777Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3272143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3272503Z     x = module(x)
2025-10-10T01:16:15.3272840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3273204Z     out = self.relu(out)
2025-10-10T01:16:15.3273326Z 
2025-10-10T01:16:15.3273438Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3273987Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3274536Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3274894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3275272Z     x = module(x)
2025-10-10T01:16:15.3275616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3275980Z     out = self.conv2(out)
2025-10-10T01:16:15.3276094Z 
2025-10-10T01:16:15.3276210Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3276740Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3277205Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3277560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3277947Z     x = module(x)
2025-10-10T01:16:15.3278273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3278658Z     out = self.relu(out)
2025-10-10T01:16:15.3278775Z 
2025-10-10T01:16:15.3278882Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3279370Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3279855Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3280207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3280555Z     x = module(x)
2025-10-10T01:16:15.3280882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3281246Z     out = self.conv3(out)
2025-10-10T01:16:15.3281360Z 
2025-10-10T01:16:15.3281472Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3281953Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3282521Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3282873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3283259Z     x = module(x)
2025-10-10T01:16:15.3283576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3283967Z     out = self.relu(out)
2025-10-10T01:16:15.3284086Z 
2025-10-10T01:16:15.3284193Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3284693Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3285119Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3285441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3285773Z     x = module(x)
2025-10-10T01:16:15.3286079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-10-10T01:16:15.3286422Z     out = self.conv1(x)
2025-10-10T01:16:15.3286523Z 
2025-10-10T01:16:15.3286634Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3287086Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3287530Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3287853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3288223Z     x = module(x)
2025-10-10T01:16:15.3288525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T01:16:15.3288875Z     out = self.relu(out)
2025-10-10T01:16:15.3288988Z 
2025-10-10T01:16:15.3289101Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3289569Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3290010Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3290340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3290677Z     x = module(x)
2025-10-10T01:16:15.3291196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-10-10T01:16:15.3291550Z     out = self.conv2(out)
2025-10-10T01:16:15.3291659Z 
2025-10-10T01:16:15.3291770Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3292234Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3292671Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3293013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3293352Z     x = module(x)
2025-10-10T01:16:15.3293653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T01:16:15.3293998Z     out = self.relu(out)
2025-10-10T01:16:15.3294111Z 
2025-10-10T01:16:15.3294215Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3294684Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3295121Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3295473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3295823Z     x = module(x)
2025-10-10T01:16:15.3296148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-10-10T01:16:15.3296512Z     out = self.conv3(out)
2025-10-10T01:16:15.3296627Z 
2025-10-10T01:16:15.3296742Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3297227Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 199, in forward
2025-10-10T01:16:15.3297689Z     feats = self.feat_extractor(x)
2025-10-10T01:16:15.3298051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-10-10T01:16:15.3298402Z     x = module(x)
2025-10-10T01:16:15.3298720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T01:16:15.3299086Z     out = self.relu(out)
2025-10-10T01:16:15.3299204Z 
2025-10-10T01:16:15.3299313Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3299803Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3300271Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3300719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-10-10T01:16:15.3301264Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:16:15.3301824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-10-10T01:16:15.3302371Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:16:15.3302628Z 
2025-10-10T01:16:15.3302745Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3303230Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3303695Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3304150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-10-10T01:16:15.3304686Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:16:15.3305254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-10-10T01:16:15.3305795Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:16:15.3306058Z 
2025-10-10T01:16:15.3306185Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3306704Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3307183Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3307656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-10-10T01:16:15.3308175Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:16:15.3308710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-10-10T01:16:15.3309250Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:16:15.3309454Z 
2025-10-10T01:16:15.3309575Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3310069Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3310533Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3310987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-10-10T01:16:15.3311469Z     out.append(self.upsample(out[-1]) + t)
2025-10-10T01:16:15.3311620Z 
2025-10-10T01:16:15.3311735Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3312226Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3312684Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3313138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-10-10T01:16:15.3313666Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:16:15.3314206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-10-10T01:16:15.3314740Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:16:15.3314939Z 
2025-10-10T01:16:15.3315047Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3315538Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3316003Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3316457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-10-10T01:16:15.3316933Z     out.append(self.upsample(out[-1]) + t)
2025-10-10T01:16:15.3317080Z 
2025-10-10T01:16:15.3317186Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3317738Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3318208Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3318663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward
2025-10-10T01:16:15.3319195Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:16:15.3319718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in <listcomp>
2025-10-10T01:16:15.3320287Z     _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-10-10T01:16:15.3320493Z 
2025-10-10T01:16:15.3320602Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3321091Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3321530Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3321943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward
2025-10-10T01:16:15.3322386Z     out.append(self.upsample(out[-1]) + t)
2025-10-10T01:16:15.3322531Z 
2025-10-10T01:16:15.3322632Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3323094Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3323530Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3323948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:16:15.3324505Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3325008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:16:15.3325508Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3325687Z 
2025-10-10T01:16:15.3325796Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3326246Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3326684Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3327106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:16:15.3332864Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3333468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:16:15.3334015Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3334199Z 
2025-10-10T01:16:15.3334317Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3334818Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3335282Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3335724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:16:15.3336218Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3336710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:16:15.3337211Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3337517Z 
2025-10-10T01:16:15.3337624Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3338099Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3338542Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3338967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:16:15.3339474Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3340048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:16:15.3340548Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3340722Z 
2025-10-10T01:16:15.3340841Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3341343Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3341822Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3342281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:16:15.3342799Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3343313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:16:15.3343832Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3344026Z 
2025-10-10T01:16:15.3344139Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3344645Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3345111Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3345567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:16:15.3346273Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3346794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:16:15.3347324Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3347524Z 
2025-10-10T01:16:15.3347645Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3348237Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3348711Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3349158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:16:15.3349670Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3350182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:16:15.3350696Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3350892Z 
2025-10-10T01:16:15.3351007Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3351507Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3351973Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3352432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward
2025-10-10T01:16:15.3352987Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3353509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in <listcomp>
2025-10-10T01:16:15.3354027Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-10-10T01:16:15.3354223Z 
2025-10-10T01:16:15.3354338Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3354841Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-10-10T01:16:15.3355349Z     feat_concat = self.fpn(feats)
2025-10-10T01:16:15.3355781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 92, in forward
2025-10-10T01:16:15.3356216Z     return torch.cat(out, dim=1)
2025-10-10T01:16:15.3356349Z 
2025-10-10T01:16:15.3356435Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3356677Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3357148Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-10-10T01:16:15.3357596Z     logits = self.prob_head(feat_concat)
2025-10-10T01:16:15.3357727Z 
2025-10-10T01:16:15.3357829Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3358292Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-10-10T01:16:15.3358737Z     logits = self.prob_head(feat_concat)
2025-10-10T01:16:15.3358869Z 
2025-10-10T01:16:15.3358979Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3359445Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-10-10T01:16:15.3359884Z     logits = self.prob_head(feat_concat)
2025-10-10T01:16:15.3360024Z 
2025-10-10T01:16:15.3360124Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3360587Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward
2025-10-10T01:16:15.3361029Z     logits = self.prob_head(feat_concat)
2025-10-10T01:16:15.3361159Z 
2025-10-10T01:16:15.3361250Z cudagraph partition due to non gpu ops
2025-10-10T01:16:15.3361479Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:15.3361944Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 211, in forward
2025-10-10T01:16:15.3362409Z     prob_map = _bf16_to_float32(torch.sigmoid(logits))
2025-10-10T01:16:15.3362563Z 
2025-10-10T01:16:32.1236857Z Compilation time (from dynamo_timed): 29.552049821
2025-10-10T01:16:32.1237189Z pass
2025-10-10T01:16:32.1237523Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:16:32.1238391Z TIMING: gc:0.00137 entire_frame_compile:29.55205 _recursive_pre_grad_passes:0.00874 _recursive_joint_graph_passes:0.1955 _recursive_post_grad_passes:0.13186 async_compile.wait:0.95021 code_gen:14.49833 inductor_compile:16.97664 backend_compile:20.82277 total_wall_time:29.55205
2025-10-10T01:16:32.1239436Z STATS: call_* op count: 215 | FakeTensorMode.__torch_dispatch__:11044 | FakeTensor.__torch_dispatch__:7820 | ProxyTorchDispatchMode.__torch_dispatch__:3990
2025-10-10T01:16:32.1240001Z Dynamo produced 1 graphs covering 215 ops with 3 graph breaks (2 unique)
2025-10-10T01:16:34.6457313Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:16:34.6458511Z   import pynvml  # type: ignore[import]
2025-10-10T01:16:36.8834956Z 
2025-10-10T01:16:39.5076465Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:16:39.5076773Z loading model: 0it [00:02, ?it/s]
2025-10-10T01:16:39.5083002Z cpu  eval  doctr_reco_predictor               
2025-10-10T01:16:39.7210067Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:16:39.7717559Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:16:39.8201046Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:16:44.6610648Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6611017Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6611246Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6611472Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6611709Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6611929Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6612162Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6612387Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6612616Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6612836Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6613056Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6613290Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6613520Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6613758Z cudagraph partition due to non gpu ops
2025-10-10T01:16:44.6614033Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6614549Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6614999Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6615143Z 
2025-10-10T01:16:44.6615268Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6615721Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6616146Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6616291Z 
2025-10-10T01:16:44.6616401Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6616846Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6617258Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6617401Z 
2025-10-10T01:16:44.6617508Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6617958Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6618423Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6618562Z 
2025-10-10T01:16:44.6618679Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6619124Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6619538Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6619678Z 
2025-10-10T01:16:44.6619783Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6620232Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6620646Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6620777Z 
2025-10-10T01:16:44.6620883Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6621324Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6621734Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6621862Z 
2025-10-10T01:16:44.6622109Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6622588Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6623009Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6623152Z 
2025-10-10T01:16:44.6623261Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6623712Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6624142Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6624278Z 
2025-10-10T01:16:44.6624424Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6624934Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6625346Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6625484Z 
2025-10-10T01:16:44.6625589Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6626039Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6626621Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6626761Z 
2025-10-10T01:16:44.6626878Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6627328Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6627763Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6627903Z 
2025-10-10T01:16:44.6628007Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6628449Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6628873Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6629005Z 
2025-10-10T01:16:44.6629109Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6629559Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6629976Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6630109Z 
2025-10-10T01:16:44.6630223Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6630664Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6631075Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6631217Z 
2025-10-10T01:16:44.6631323Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6631767Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6632188Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6632320Z 
2025-10-10T01:16:44.6632425Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6632868Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6633281Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6633412Z 
2025-10-10T01:16:44.6633525Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6633960Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6634367Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6634507Z 
2025-10-10T01:16:44.6634610Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6635053Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6635471Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6635603Z 
2025-10-10T01:16:44.6635714Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6636204Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6636625Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6636765Z 
2025-10-10T01:16:44.6636871Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6637296Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6637710Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6637841Z 
2025-10-10T01:16:44.6637946Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6638427Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6638845Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6638977Z 
2025-10-10T01:16:44.6639091Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6639520Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6639932Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6640069Z 
2025-10-10T01:16:44.6640173Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6640614Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6641075Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6641201Z 
2025-10-10T01:16:44.6641308Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6641710Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6642091Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6642219Z 
2025-10-10T01:16:44.6642328Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6642755Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6643173Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6643312Z 
2025-10-10T01:16:44.6643416Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6643838Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6644240Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6644370Z 
2025-10-10T01:16:44.6644482Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6644898Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6645353Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6645492Z 
2025-10-10T01:16:44.6645598Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6646030Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6646437Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6646569Z 
2025-10-10T01:16:44.6646674Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6647100Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6647499Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6647623Z 
2025-10-10T01:16:44.6647731Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:16:44.6648134Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward
2025-10-10T01:16:44.6648536Z     features = self.feat_extractor(x)
2025-10-10T01:16:44.6648674Z 
2025-10-10T01:16:54.5954404Z Compilation time (from dynamo_timed): 13.68675334
2025-10-10T01:16:54.5954709Z pass
2025-10-10T01:16:54.5956408Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:16:54.5957659Z TIMING: gc:0.0019 entire_frame_compile:13.68675 _recursive_pre_grad_passes:0.00643 _recursive_joint_graph_passes:0.40172 _recursive_post_grad_passes:0.03325 async_compile.wait:0.83001 code_gen:9.79232 inductor_compile:10.21936 backend_compile:11.9486 total_wall_time:13.68675
2025-10-10T01:16:54.5958774Z STATS: call_* op count: 46 | FakeTensorMode.__torch_dispatch__:2500 | FakeTensor.__torch_dispatch__:1328 | ProxyTorchDispatchMode.__torch_dispatch__:722
2025-10-10T01:16:54.5959307Z Dynamo produced 1 graphs covering 46 ops with 1 graph breaks (1 unique)
2025-10-10T01:16:56.6272840Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:16:56.6273755Z   import pynvml  # type: ignore[import]
2025-10-10T01:16:58.8221517Z 
2025-10-10T01:16:58.8737934Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-10-10T01:16:58.8738658Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-10-10T01:16:58.8739302Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases.
2025-10-10T01:16:58.8739950Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-10-10T01:16:59.4634775Z 
2025-10-10T01:16:59.4635840Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:16:59.4636309Z cpu  eval  drq                                
2025-10-10T01:16:59.4720118Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:16:59.4769308Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:16:59.4813193Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:17:02.1527013Z cudagraph partition due to non gpu ops
2025-10-10T01:17:02.1527359Z cudagraph partition due to non gpu ops
2025-10-10T01:17:02.1527591Z cudagraph partition due to non gpu ops
2025-10-10T01:17:02.1527817Z cudagraph partition due to non gpu ops
2025-10-10T01:17:02.1528087Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1528513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1528913Z     return mod(*inputs)
2025-10-10T01:17:02.1529249Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:17:02.1529585Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:17:02.1529896Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-10-10T01:17:02.1530206Z     h = self.forward_conv(obs)
2025-10-10T01:17:02.1530617Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-10-10T01:17:02.1530944Z     conv = torch.relu(self.convs[0](obs))
2025-10-10T01:17:02.1531092Z 
2025-10-10T01:17:02.1531214Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1531615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1531968Z     return mod(*inputs)
2025-10-10T01:17:02.1532233Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:17:02.1532558Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:17:02.1532872Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-10-10T01:17:02.1533175Z     h = self.forward_conv(obs)
2025-10-10T01:17:02.1533478Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-10-10T01:17:02.1534207Z     conv = torch.relu(self.convs[i](conv))
2025-10-10T01:17:02.1534355Z 
2025-10-10T01:17:02.1534508Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1534919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1535282Z     return mod(*inputs)
2025-10-10T01:17:02.1535554Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:17:02.1535872Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:17:02.1536184Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-10-10T01:17:02.1536488Z     h = self.forward_conv(obs)
2025-10-10T01:17:02.1536900Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-10-10T01:17:02.1537264Z     conv = torch.relu(self.convs[i](conv))
2025-10-10T01:17:02.1537405Z 
2025-10-10T01:17:02.1537524Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1537933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1538300Z     return mod(*inputs)
2025-10-10T01:17:02.1538577Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:17:02.1538907Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:17:02.1539235Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-10-10T01:17:02.1539545Z     h = self.forward_conv(obs)
2025-10-10T01:17:02.1539829Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-10-10T01:17:02.1540158Z     conv = torch.relu(self.convs[i](conv))
2025-10-10T01:17:02.1540296Z 
2025-10-10T01:17:02.1540415Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1540782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1541117Z     return mod(*inputs)
2025-10-10T01:17:02.1541372Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:17:02.1541699Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:17:02.1541991Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-10-10T01:17:02.1542295Z     h = self.forward_conv(obs)
2025-10-10T01:17:02.1542576Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-10-10T01:17:02.1542890Z     conv = torch.relu(self.convs[i](conv))
2025-10-10T01:17:02.1543028Z 
2025-10-10T01:17:02.1543144Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1543510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1543852Z     return mod(*inputs)
2025-10-10T01:17:02.1544114Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:17:02.1544419Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:17:02.1544711Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward
2025-10-10T01:17:02.1545004Z     out = self.head(h)
2025-10-10T01:17:02.1545120Z 
2025-10-10T01:17:02.1545229Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1545601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1545932Z     return mod(*inputs)
2025-10-10T01:17:02.1546454Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-10-10T01:17:02.1546774Z     obs = self.encoder(obs, detach=detach_encoder)
2025-10-10T01:17:02.1547087Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward
2025-10-10T01:17:02.1547383Z     out = torch.tanh(out)
2025-10-10T01:17:02.1547504Z 
2025-10-10T01:17:02.1547622Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1548004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1548324Z     return mod(*inputs)
2025-10-10T01:17:02.1548675Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-10-10T01:17:02.1548958Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-10-10T01:17:02.1549118Z 
2025-10-10T01:17:02.1549225Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1549595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1549934Z     return mod(*inputs)
2025-10-10T01:17:02.1554629Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-10-10T01:17:02.1554956Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-10-10T01:17:02.1555119Z 
2025-10-10T01:17:02.1555240Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1555664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1555977Z     return mod(*inputs)
2025-10-10T01:17:02.1556224Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-10-10T01:17:02.1556515Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-10-10T01:17:02.1556658Z 
2025-10-10T01:17:02.1556769Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1557121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1557434Z     return mod(*inputs)
2025-10-10T01:17:02.1557680Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-10-10T01:17:02.1558006Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-10-10T01:17:02.1558146Z 
2025-10-10T01:17:02.1558247Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1558602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1558923Z     return mod(*inputs)
2025-10-10T01:17:02.1559170Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-10-10T01:17:02.1559457Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-10-10T01:17:02.1559599Z 
2025-10-10T01:17:02.1559700Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:02.1560050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:02.1560369Z     return mod(*inputs)
2025-10-10T01:17:02.1560620Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward
2025-10-10T01:17:02.1560884Z     std = log_std.exp()
2025-10-10T01:17:02.1560994Z 
2025-10-10T01:17:11.3550701Z Compilation time (from dynamo_timed): 10.855004445
2025-10-10T01:17:11.3551004Z pass
2025-10-10T01:17:11.3551382Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:17:11.3557042Z TIMING: _recursive_pre_grad_passes:0.00555 _recursive_joint_graph_passes:0.14241 _recursive_post_grad_passes:0.01924 async_compile.wait:0.78842 code_gen:9.07498 inductor_compile:9.19989 backend_compile:10.20758 gc:0.00051 entire_frame_compile:10.855 total_wall_time:10.855
2025-10-10T01:17:11.3558074Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:245 | FakeTensorMode.__torch_dispatch__:883 | ProxyTorchDispatchMode.__torch_dispatch__:126
2025-10-10T01:17:11.3558604Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-10-10T01:17:13.3430785Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:17:13.3431721Z   import pynvml  # type: ignore[import]
2025-10-10T01:17:15.5509383Z 
2025-10-10T01:17:16.9903449Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:17:16.9903813Z loading model: 0it [00:01, ?it/s]
2025-10-10T01:17:16.9914215Z cpu  eval  fastNLP_Bert                       
2025-10-10T01:17:18.2214283Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:17:18.7828454Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:17:19.3317159Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:17:20.3970490Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-10-10T01:17:20.3971229Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-10-10T01:17:20.3972165Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] or:
2025-10-10T01:17:20.3972811Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-10-10T01:17:20.3973442Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] to include these operations in the captured graph.
2025-10-10T01:17:20.3973975Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] 
2025-10-10T01:17:20.3974450Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] Graph break: from user code at:
2025-10-10T01:17:20.3975184Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:20.3975872Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     return mod(*inputs)
2025-10-10T01:17:20.3977087Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward
2025-10-10T01:17:20.3977795Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     sequence_output = self.bert(words)
2025-10-10T01:17:21.7039016Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward
2025-10-10T01:17:21.7039804Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     outputs = self.model(words)
2025-10-10T01:17:21.7040580Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-10-10T01:17:21.7042422Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0]     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-10-10T01:17:21.7043043Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] 
2025-10-10T01:17:21.7043457Z W1010 01:17:20.395000 17295 site-packages/torch/_dynamo/variables/tensor.py:1045] [0/0] 
2025-10-10T01:17:21.7043830Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:21.7044303Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-10-10T01:17:21.7045044Z     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-10-10T01:17:21.7045329Z 
2025-10-10T01:17:21.7045456Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:21.7045904Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward
2025-10-10T01:17:21.7046329Z     seq_len = word_mask.sum(dim=-1)
2025-10-10T01:17:21.7046482Z 
2025-10-10T01:17:35.8211694Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8212264Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward
2025-10-10T01:17:35.8213934Z     embedding_output = self.embeddings(input_ids, token_type_ids)
2025-10-10T01:17:35.8214401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward
2025-10-10T01:17:35.8214883Z     embeddings = words_embeddings + position_embeddings + token_type_embeddings
2025-10-10T01:17:35.8215126Z 
2025-10-10T01:17:35.8215244Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8215809Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8216242Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8216773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8217212Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8217657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8218116Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8218576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8218999Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8219408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8219823Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8220005Z 
2025-10-10T01:17:35.8220123Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8220563Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8220989Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8221395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8221842Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8222279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8222739Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8223190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8223621Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8224058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8224470Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8224623Z 
2025-10-10T01:17:35.8224744Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8225164Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8225587Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8226002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8226625Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8227075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8227540Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8228011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8228444Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8228872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8229320Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8229484Z 
2025-10-10T01:17:35.8229578Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8229814Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8230074Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8230495Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8230947Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8231346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8231821Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8232248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8232695Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8233134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8233724Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8234154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8234566Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8234720Z 
2025-10-10T01:17:35.8234837Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8235248Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8235742Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8236149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8236587Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8237017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8237462Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8237907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8238388Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8238539Z 
2025-10-10T01:17:35.8238660Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8239071Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8239485Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8239887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8240330Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8240747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8241180Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8241598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8242012Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8242480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8242998Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8243175Z 
2025-10-10T01:17:35.8243291Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8243703Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8244130Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8244523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8244950Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8245354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8245807Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8246551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8246955Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8247146Z 
2025-10-10T01:17:35.8247270Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8247682Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8248102Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8248499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8248928Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8249345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8249783Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8250217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8250633Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8251038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8251489Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8251646Z 
2025-10-10T01:17:35.8251754Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8252154Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8252550Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8252943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8253373Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8253802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8254268Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8254710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8255125Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8255528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8255920Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8256073Z 
2025-10-10T01:17:35.8256182Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8256590Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8256993Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8257385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8257811Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8258223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8258662Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8259117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8259517Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8259921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8260318Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8260499Z 
2025-10-10T01:17:35.8260595Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8260819Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8261069Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8261539Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8261944Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8262337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8262750Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8263161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8263595Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8264021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8264441Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8264850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8265239Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8265395Z 
2025-10-10T01:17:35.8265505Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8265910Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8266421Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8266825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8267262Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8267685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8268126Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8268544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8268941Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8269098Z 
2025-10-10T01:17:35.8269209Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8269630Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8270040Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8270433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8270948Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8271378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8271826Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8272261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8272687Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8273112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8273556Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8273722Z 
2025-10-10T01:17:35.8273841Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8274252Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8274670Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8275100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8275526Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8275987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8276431Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8276879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8277281Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8277430Z 
2025-10-10T01:17:35.8277549Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8277995Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8278397Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8278805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8279232Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8279667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8280102Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8280525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8280934Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8281334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8281731Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8281884Z 
2025-10-10T01:17:35.8281999Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8282403Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8282801Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8283199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8283615Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8284025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8284465Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8284894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8285311Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8285709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8286089Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8286242Z 
2025-10-10T01:17:35.8286349Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8286756Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8287154Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8287575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8287998Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8288413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8288853Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8289286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8289716Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8290155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8290548Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8290707Z 
2025-10-10T01:17:35.8290797Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8291419Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8291666Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8292080Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8292479Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8292875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8293300Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8293707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8294144Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8294585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8295017Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8295445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8295838Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8295993Z 
2025-10-10T01:17:35.8296100Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8296502Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8296913Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8297300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8297722Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8298135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8298571Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8299008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8299410Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8299569Z 
2025-10-10T01:17:35.8299679Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8300094Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8300516Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8300926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8301360Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8301795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8302300Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8302730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8303168Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8303582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8303998Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8304207Z 
2025-10-10T01:17:35.8304319Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8304796Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8305207Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8305598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8306025Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8306510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8306973Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8307411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8307812Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8307969Z 
2025-10-10T01:17:35.8308081Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8308503Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8308912Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8309309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8309755Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8310180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8310642Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8311084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8311499Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8311912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8312326Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8312485Z 
2025-10-10T01:17:35.8312605Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8313021Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8313438Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8313840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8314281Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8314698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8315151Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8315573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8315978Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8316377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8316761Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8316937Z 
2025-10-10T01:17:35.8317043Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8317451Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8317850Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8318249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8318708Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8319111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8319583Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8320011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8320426Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8320825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8321216Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8321382Z 
2025-10-10T01:17:35.8321474Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8321711Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8321973Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8322373Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8322773Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8323166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8323584Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8323997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8324425Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8324855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8325272Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8325692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8326081Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8326228Z 
2025-10-10T01:17:35.8326336Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8326747Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8327148Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8327545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8327975Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8328381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8328810Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8329232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8329632Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8329780Z 
2025-10-10T01:17:35.8329892Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8330300Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8330705Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8331115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8331540Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8331942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8332375Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8332827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8333241Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8333681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8334073Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8334241Z 
2025-10-10T01:17:35.8334351Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8334753Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8335141Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8335515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8335932Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8336344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8336787Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8337194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8337551Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8337695Z 
2025-10-10T01:17:35.8337797Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8338178Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8338550Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8338927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8339320Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8339720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8340141Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8340555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8340948Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8341334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8341725Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8341886Z 
2025-10-10T01:17:35.8341995Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8342391Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8342783Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8343163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8343587Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8344014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8344464Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8344929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8345345Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8345764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8346268Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8346424Z 
2025-10-10T01:17:35.8346570Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8346982Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8347396Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8347842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8348268Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8348693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8349125Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8349559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8349971Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8350380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8350774Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8350928Z 
2025-10-10T01:17:35.8351016Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8351268Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8351530Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8351956Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8352352Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8352747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8353169Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8353585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8354028Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8354452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8354889Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8355312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8355708Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8355854Z 
2025-10-10T01:17:35.8355970Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8356372Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8356773Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8357166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8357587Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8358007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8358440Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8358869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8359282Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8359428Z 
2025-10-10T01:17:35.8359542Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8359947Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8360349Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8360746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8361188Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8361606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8362071Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8362491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8362912Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8363319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8363716Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8363874Z 
2025-10-10T01:17:35.8363983Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8364396Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8364802Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8365197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8365621Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8366027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8366465Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8366896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8367293Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8367437Z 
2025-10-10T01:17:35.8367544Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8367950Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8368348Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8368745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8369160Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8369565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8370061Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8370470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8370885Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8371283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8371671Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8371832Z 
2025-10-10T01:17:35.8371941Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8372347Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8372747Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8373144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8373597Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8374002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8374414Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8374817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8375224Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8375599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8376004Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8376148Z 
2025-10-10T01:17:35.8376267Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8376673Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8377062Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8377452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8377878Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8378276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8378682Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8379077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8379458Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8379837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8380213Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8380365Z 
2025-10-10T01:17:35.8380460Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8380681Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8380929Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8381339Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8381739Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8382123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8382546Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8382959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8383396Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8383827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8384238Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8384649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8385035Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8385180Z 
2025-10-10T01:17:35.8385299Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8385704Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8386178Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8386590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8387023Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8387487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8387926Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8388338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8388729Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8388908Z 
2025-10-10T01:17:35.8389019Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8389424Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8389854Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8390248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8390673Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8391274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8391718Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8392133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8392562Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8392976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8393377Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8393540Z 
2025-10-10T01:17:35.8393661Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8394062Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8394475Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8394873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8395304Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8395719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8396157Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8396589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8396983Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8397128Z 
2025-10-10T01:17:35.8397244Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8397642Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8398041Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8398431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8398846Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8399259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8399685Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8400116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8400519Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8400923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8401315Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8401522Z 
2025-10-10T01:17:35.8401629Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8402036Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8402432Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8402825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8403243Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8403682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8404117Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8404602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8405012Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8405407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8405795Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8405948Z 
2025-10-10T01:17:35.8406056Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8406458Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8406862Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8407245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8407664Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8408073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8408507Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8408933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8409338Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8409740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8410140Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8410296Z 
2025-10-10T01:17:35.8410392Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8410622Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8410864Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8411274Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8411673Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8412063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8412486Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8412898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8413335Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8413763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8414179Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8414585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8414983Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8415138Z 
2025-10-10T01:17:35.8415246Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8415648Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8416063Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8416448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8416864Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8417276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8417720Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8418890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8419299Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8419446Z 
2025-10-10T01:17:35.8419550Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8419937Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8420317Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8420700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8421133Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8421554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8421997Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8422427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8422847Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8423253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8423658Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8423817Z 
2025-10-10T01:17:35.8423935Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8424363Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8424763Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8425166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8425598Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8426026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8426589Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8427032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8427436Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8427588Z 
2025-10-10T01:17:35.8427697Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8428102Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8428501Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8428894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8429317Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8429734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8430172Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8430606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8431061Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8431460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8431858Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8432010Z 
2025-10-10T01:17:35.8432126Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8432574Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8432984Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8433406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8433819Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8434229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8434655Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8435083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8435498Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8435900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8436279Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8436433Z 
2025-10-10T01:17:35.8436540Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8436948Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8437348Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8437739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8438148Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8438561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8438995Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8439422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8439827Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8440222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8440616Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8440771Z 
2025-10-10T01:17:35.8440858Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8441087Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8441336Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8441734Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8442131Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8442519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8442933Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8443334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8443764Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8444193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8444612Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8445057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8445441Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8445595Z 
2025-10-10T01:17:35.8445703Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8446110Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8446533Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8446925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8447372Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8447788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8448213Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8448633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8449019Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8449164Z 
2025-10-10T01:17:35.8449271Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8449677Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8450079Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8450465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8450877Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8451291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8451711Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8452131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8452554Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8452956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8453355Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8453524Z 
2025-10-10T01:17:35.8453635Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8454040Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8454437Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8454824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8455250Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8455663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8456110Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8456547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8456929Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8457085Z 
2025-10-10T01:17:35.8457194Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8457600Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8458054Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8458442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8458883Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8459295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8459739Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8460168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8460589Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8460993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8461388Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8461576Z 
2025-10-10T01:17:35.8461700Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8462120Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8462533Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8462945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8463380Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8463814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8464268Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8464711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8465143Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8465562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8465965Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8466204Z 
2025-10-10T01:17:35.8466329Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8466743Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8467160Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8467570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8468008Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8468427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8468880Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8469331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8469753Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8470179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8470584Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8470751Z 
2025-10-10T01:17:35.8470842Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8471079Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8471335Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8471748Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8472160Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8472571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8473006Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8473434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8473915Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8474362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8474800Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8475236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8475663Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8475813Z 
2025-10-10T01:17:35.8475925Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8476396Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8476814Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8477236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8477689Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8478102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8478534Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8478961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8479357Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8479506Z 
2025-10-10T01:17:35.8479626Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8480036Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8480442Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8480844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8481300Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8481713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8482173Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8482646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8483072Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8483492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8483898Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8484072Z 
2025-10-10T01:17:35.8484185Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8484623Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8485055Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8485478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8485917Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8486364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8486822Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8487286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8487699Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8487850Z 
2025-10-10T01:17:35.8487961Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8488461Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8488892Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8489302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8489734Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8490186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8490640Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8491303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8491720Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8492117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8492520Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8492682Z 
2025-10-10T01:17:35.8492789Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8493200Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8493611Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8494001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8494429Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8494845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8495283Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8495709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8496119Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8496527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8496916Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8497063Z 
2025-10-10T01:17:35.8497180Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8497581Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8497978Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8498384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8498807Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8499220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8499645Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8500071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8500480Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8500889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8501284Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8501438Z 
2025-10-10T01:17:35.8501525Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8501760Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8502014Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8502421Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8502862Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8503272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8503698Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8504114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8504586Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8505025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8505507Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8505923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8506396Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8506553Z 
2025-10-10T01:17:35.8506672Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8507086Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8507500Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8507892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8508314Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8508727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8509153Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8509589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8509985Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8510136Z 
2025-10-10T01:17:35.8510253Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8510667Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8511072Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8511476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8511913Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8545823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8546434Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8547000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8547482Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8547915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8548348Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8548516Z 
2025-10-10T01:17:35.8548647Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8549068Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8549475Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8549883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8550315Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8550735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8551301Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8551730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8552125Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8552285Z 
2025-10-10T01:17:35.8552402Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8552820Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8553273Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8553687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8554174Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8554602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8555043Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8555472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8555884Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8556287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8556683Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8556840Z 
2025-10-10T01:17:35.8556958Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8557358Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8557761Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8558158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8558591Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8559008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8559449Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8559879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8560303Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8560707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8561109Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8561257Z 
2025-10-10T01:17:35.8561367Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8561773Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8562174Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8562563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8562984Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8563418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8563857Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8564286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8564693Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8565090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8565494Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8565684Z 
2025-10-10T01:17:35.8565778Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8566011Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8566318Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8566734Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8567138Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8567545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8567975Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8568433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8568886Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8569317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8569748Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8570164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8570564Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8570709Z 
2025-10-10T01:17:35.8570828Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8571236Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8571638Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8572038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8572439Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8572845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8573275Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8573700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8574090Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8574237Z 
2025-10-10T01:17:35.8574353Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8574759Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8575169Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8575572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8575994Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8576412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8576848Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8577267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8577685Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8578083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8578475Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8578632Z 
2025-10-10T01:17:35.8578741Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8579140Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8579537Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8579951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8580377Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8580776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8581208Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8581661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8582051Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8582197Z 
2025-10-10T01:17:35.8582340Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8582743Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8583139Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8583533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8583960Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8584365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8584806Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8585248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8585679Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8586189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-10-10T01:17:35.8586597Z     mixed_query_layer = self.query(hidden_states)
2025-10-10T01:17:35.8586764Z 
2025-10-10T01:17:35.8586877Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8587297Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8587709Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8588114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8588540Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8588966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8589413Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8589857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8590273Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8590688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-10-10T01:17:35.8591375Z     mixed_key_layer = self.key(hidden_states)
2025-10-10T01:17:35.8591531Z 
2025-10-10T01:17:35.8591655Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8592079Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8592483Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8592896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8593328Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8593760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8594210Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8594741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-10-10T01:17:35.8595163Z     self_output = self.self(input_tensor, attention_mask)
2025-10-10T01:17:35.8595577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-10-10T01:17:35.8595983Z     mixed_value_layer = self.value(hidden_states)
2025-10-10T01:17:35.8596141Z 
2025-10-10T01:17:35.8596282Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8596514Z cudagraph partition due to non gpu ops
2025-10-10T01:17:35.8596769Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8597243Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8597658Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8598054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8598490Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8598918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-10-10T01:17:35.8599372Z     attention_output = self.attention(hidden_states, attention_mask)
2025-10-10T01:17:35.8599814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-10-10T01:17:35.8600240Z     attention_output = self.output(self_output, input_tensor)
2025-10-10T01:17:35.8600664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-10-10T01:17:35.8601063Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8601214Z 
2025-10-10T01:17:35.8601335Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8601751Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8602155Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8602556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8602995Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8603420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8603865Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8604284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-10-10T01:17:35.8604679Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8604825Z 
2025-10-10T01:17:35.8604940Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8605343Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8605734Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8606124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8606543Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8606958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-10-10T01:17:35.8607380Z     intermediate_output = self.intermediate(attention_output)
2025-10-10T01:17:35.8607799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-10-10T01:17:35.8608228Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-10-10T01:17:35.8608639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-10-10T01:17:35.8609075Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-10-10T01:17:35.8609237Z 
2025-10-10T01:17:35.8609358Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8609775Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-10-10T01:17:35.8610193Z     encoded_layers = self.encoder(embedding_output,
2025-10-10T01:17:35.8610605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-10-10T01:17:35.8611056Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-10-10T01:17:35.8611468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-10-10T01:17:35.8611953Z     layer_output = self.output(intermediate_output, attention_output)
2025-10-10T01:17:35.8612388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-10-10T01:17:35.8612801Z     hidden_states = self.dense(hidden_states)
2025-10-10T01:17:35.8612945Z 
2025-10-10T01:17:35.8613061Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8613470Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-10-10T01:17:35.8613886Z     pooled_output = self.pooler(sequence_output)
2025-10-10T01:17:35.8614289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward
2025-10-10T01:17:35.8614701Z     pooled_output = self.dense(first_token_tensor)
2025-10-10T01:17:35.8614862Z 
2025-10-10T01:17:35.8614977Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:35.8615389Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-10-10T01:17:35.8615803Z     pooled_output = self.pooler(sequence_output)
2025-10-10T01:17:35.8616203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward
2025-10-10T01:17:35.8616618Z     pooled_output = self.activation(pooled_output)
2025-10-10T01:17:35.8616776Z 
2025-10-10T01:17:38.7308014Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:38.7308822Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 140, in torch_dynamo_resume_in_forward_at_137
2025-10-10T01:17:38.7309489Z     return self.dropout(outputs)
2025-10-10T01:17:38.7310532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout
2025-10-10T01:17:38.7311132Z     return self.dropout_layer(words)
2025-10-10T01:17:38.7311376Z 
2025-10-10T01:17:39.3082634Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:39.3083240Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 266, in torch_dynamo_resume_in_forward_at_265
2025-10-10T01:17:39.3083785Z     logits = self.qa_outputs(sequence_output)  # [batch_size, seq_len, num_labels]
2025-10-10T01:17:39.3084006Z 
2025-10-10T01:17:39.5856546Z Compilation time (from dynamo_timed): 18.780766117
2025-10-10T01:17:39.5856977Z pass
2025-10-10T01:17:39.5857289Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:17:39.5858126Z TIMING: gc:0.00468 entire_frame_compile:18.78077 _recursive_pre_grad_passes:0.00931 _recursive_joint_graph_passes:0.74191 _recursive_post_grad_passes:0.06971 async_compile.wait:1.73341 code_gen:10.4715 inductor_compile:11.65919 backend_compile:15.20213 total_wall_time:18.78077
2025-10-10T01:17:39.5859274Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:9080 | ProxyTorchDispatchMode.__torch_dispatch__:2710 | FakeTensor.__torch_dispatch__:4216
2025-10-10T01:17:39.5859832Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique)
2025-10-10T01:17:41.6452241Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:17:41.6453475Z   import pynvml  # type: ignore[import]
2025-10-10T01:17:43.8615246Z 
2025-10-10T01:17:44.2523682Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:17:44.2524039Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:17:44.2527664Z cpu  eval  functorch_dp_cifar10               
2025-10-10T01:17:44.2908741Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:17:44.3109344Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:17:44.3281513Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:17:48.9064428Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9064851Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9065101Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9065330Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9065557Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9065783Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9065999Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9066394Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9066630Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9066854Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9067069Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9067309Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9067538Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9067756Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9067981Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9068209Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9068435Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9068664Z cudagraph partition due to non gpu ops
2025-10-10T01:17:48.9069039Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9069468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9069844Z     return mod(*inputs)
2025-10-10T01:17:48.9070260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9070688Z     return self._forward_impl(x)
2025-10-10T01:17:48.9071115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-10-10T01:17:48.9071595Z     x = self.conv1(x)
2025-10-10T01:17:48.9071724Z 
2025-10-10T01:17:48.9071839Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9072242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9072613Z     return mod(*inputs)
2025-10-10T01:17:48.9072979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9073376Z     return self._forward_impl(x)
2025-10-10T01:17:48.9073774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-10-10T01:17:48.9074204Z     x = self.relu(x)
2025-10-10T01:17:48.9074326Z 
2025-10-10T01:17:48.9074440Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9074933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9075294Z     return mod(*inputs)
2025-10-10T01:17:48.9075656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9076036Z     return self._forward_impl(x)
2025-10-10T01:17:48.9076446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-10-10T01:17:48.9077194Z     x = self.maxpool(x)
2025-10-10T01:17:48.9077309Z 
2025-10-10T01:17:48.9077438Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9077851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9078221Z     return mod(*inputs)
2025-10-10T01:17:48.9078581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9079052Z     return self._forward_impl(x)
2025-10-10T01:17:48.9079501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:17:48.9079944Z     x = self.layer1(x)
2025-10-10T01:17:48.9080302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:17:48.9080675Z     out = self.conv1(x)
2025-10-10T01:17:48.9080786Z 
2025-10-10T01:17:48.9080903Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9081332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9081656Z     return mod(*inputs)
2025-10-10T01:17:48.9081977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9082332Z     return self._forward_impl(x)
2025-10-10T01:17:48.9082692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:17:48.9083047Z     x = self.layer1(x)
2025-10-10T01:17:48.9083374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:17:48.9083725Z     out = self.relu(out)
2025-10-10T01:17:48.9083833Z 
2025-10-10T01:17:48.9083946Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9084294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9084617Z     return mod(*inputs)
2025-10-10T01:17:48.9084932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9085282Z     return self._forward_impl(x)
2025-10-10T01:17:48.9085635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:17:48.9085990Z     x = self.layer1(x)
2025-10-10T01:17:48.9086308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:17:48.9086651Z     out = self.conv2(out)
2025-10-10T01:17:48.9086764Z 
2025-10-10T01:17:48.9086874Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9087221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9087546Z     return mod(*inputs)
2025-10-10T01:17:48.9087866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9088216Z     return self._forward_impl(x)
2025-10-10T01:17:48.9088571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:17:48.9088923Z     x = self.layer1(x)
2025-10-10T01:17:48.9089242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:17:48.9089591Z     out = self.relu(out)
2025-10-10T01:17:48.9089704Z 
2025-10-10T01:17:48.9089819Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9090197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9090551Z     return mod(*inputs)
2025-10-10T01:17:48.9091213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9091640Z     return self._forward_impl(x)
2025-10-10T01:17:48.9092010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:17:48.9092360Z     x = self.layer1(x)
2025-10-10T01:17:48.9092676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:17:48.9093022Z     out = self.conv1(x)
2025-10-10T01:17:48.9093152Z 
2025-10-10T01:17:48.9093263Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9093608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9093926Z     return mod(*inputs)
2025-10-10T01:17:48.9094309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9094663Z     return self._forward_impl(x)
2025-10-10T01:17:48.9095031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:17:48.9095408Z     x = self.layer1(x)
2025-10-10T01:17:48.9095743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:17:48.9096113Z     out = self.relu(out)
2025-10-10T01:17:48.9096224Z 
2025-10-10T01:17:48.9096340Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9096706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9097045Z     return mod(*inputs)
2025-10-10T01:17:48.9097385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9097754Z     return self._forward_impl(x)
2025-10-10T01:17:48.9098124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:17:48.9098497Z     x = self.layer1(x)
2025-10-10T01:17:48.9098828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:17:48.9099199Z     out = self.conv2(out)
2025-10-10T01:17:48.9099316Z 
2025-10-10T01:17:48.9099432Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9099797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9100143Z     return mod(*inputs)
2025-10-10T01:17:48.9100477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9100841Z     return self._forward_impl(x)
2025-10-10T01:17:48.9101212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T01:17:48.9101580Z     x = self.layer1(x)
2025-10-10T01:17:48.9101913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:17:48.9102293Z     out = self.relu(out)
2025-10-10T01:17:48.9102403Z 
2025-10-10T01:17:48.9102517Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9102884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9103256Z     return mod(*inputs)
2025-10-10T01:17:48.9103601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9103982Z     return self._forward_impl(x)
2025-10-10T01:17:48.9104359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:17:48.9104752Z     x = self.layer2(x)
2025-10-10T01:17:48.9105085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:17:48.9105440Z     out = self.conv1(x)
2025-10-10T01:17:48.9105544Z 
2025-10-10T01:17:48.9105686Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9106126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9106485Z     return mod(*inputs)
2025-10-10T01:17:48.9106831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9107228Z     return self._forward_impl(x)
2025-10-10T01:17:48.9107614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:17:48.9108034Z     x = self.layer2(x)
2025-10-10T01:17:48.9108396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:17:48.9108762Z     out = self.relu(out)
2025-10-10T01:17:48.9108880Z 
2025-10-10T01:17:48.9108989Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9109366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9109699Z     return mod(*inputs)
2025-10-10T01:17:48.9110042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9110410Z     return self._forward_impl(x)
2025-10-10T01:17:48.9110783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:17:48.9111165Z     x = self.layer2(x)
2025-10-10T01:17:48.9111490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:17:48.9111855Z     out = self.conv2(out)
2025-10-10T01:17:48.9111976Z 
2025-10-10T01:17:48.9112089Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9112467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9112799Z     return mod(*inputs)
2025-10-10T01:17:48.9113143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9113517Z     return self._forward_impl(x)
2025-10-10T01:17:48.9113889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:17:48.9114266Z     x = self.layer2(x)
2025-10-10T01:17:48.9114594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-10-10T01:17:48.9114970Z     identity = self.downsample(x)
2025-10-10T01:17:48.9115109Z 
2025-10-10T01:17:48.9115218Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9115597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9115934Z     return mod(*inputs)
2025-10-10T01:17:48.9116274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9116647Z     return self._forward_impl(x)
2025-10-10T01:17:48.9117022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:17:48.9117409Z     x = self.layer2(x)
2025-10-10T01:17:48.9117736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:17:48.9118102Z     out = self.relu(out)
2025-10-10T01:17:48.9118225Z 
2025-10-10T01:17:48.9118334Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9118712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9119047Z     return mod(*inputs)
2025-10-10T01:17:48.9119391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9119762Z     return self._forward_impl(x)
2025-10-10T01:17:48.9120136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:17:48.9120547Z     x = self.layer2(x)
2025-10-10T01:17:48.9120876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:17:48.9121240Z     out = self.conv1(x)
2025-10-10T01:17:48.9121356Z 
2025-10-10T01:17:48.9121464Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9121840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9122188Z     return mod(*inputs)
2025-10-10T01:17:48.9122525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9122949Z     return self._forward_impl(x)
2025-10-10T01:17:48.9123327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:17:48.9123685Z     x = self.layer2(x)
2025-10-10T01:17:48.9123996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:17:48.9124344Z     out = self.relu(out)
2025-10-10T01:17:48.9124457Z 
2025-10-10T01:17:48.9124559Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9124918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9125236Z     return mod(*inputs)
2025-10-10T01:17:48.9125560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9125932Z     return self._forward_impl(x)
2025-10-10T01:17:48.9126315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:17:48.9126695Z     x = self.layer2(x)
2025-10-10T01:17:48.9127032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:17:48.9127412Z     out = self.conv2(out)
2025-10-10T01:17:48.9127536Z 
2025-10-10T01:17:48.9127651Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9128011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9128327Z     return mod(*inputs)
2025-10-10T01:17:48.9128651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9129005Z     return self._forward_impl(x)
2025-10-10T01:17:48.9129363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T01:17:48.9129719Z     x = self.layer2(x)
2025-10-10T01:17:48.9130037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:17:48.9130385Z     out = self.relu(out)
2025-10-10T01:17:48.9130496Z 
2025-10-10T01:17:48.9130598Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9130956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9131275Z     return mod(*inputs)
2025-10-10T01:17:48.9131597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9131951Z     return self._forward_impl(x)
2025-10-10T01:17:48.9132309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:17:48.9132671Z     x = self.layer3(x)
2025-10-10T01:17:48.9132980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:17:48.9133326Z     out = self.conv1(x)
2025-10-10T01:17:48.9133437Z 
2025-10-10T01:17:48.9133593Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9133954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9134296Z     return mod(*inputs)
2025-10-10T01:17:48.9134617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9134971Z     return self._forward_impl(x)
2025-10-10T01:17:48.9135320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:17:48.9135675Z     x = self.layer3(x)
2025-10-10T01:17:48.9136037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:17:48.9136383Z     out = self.relu(out)
2025-10-10T01:17:48.9136491Z 
2025-10-10T01:17:48.9136629Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9136985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9137304Z     return mod(*inputs)
2025-10-10T01:17:48.9137625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9137974Z     return self._forward_impl(x)
2025-10-10T01:17:48.9138316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:17:48.9138673Z     x = self.layer3(x)
2025-10-10T01:17:48.9138982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:17:48.9139327Z     out = self.conv2(out)
2025-10-10T01:17:48.9139436Z 
2025-10-10T01:17:48.9139538Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9139891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9140212Z     return mod(*inputs)
2025-10-10T01:17:48.9140530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9140879Z     return self._forward_impl(x)
2025-10-10T01:17:48.9141229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:17:48.9141588Z     x = self.layer3(x)
2025-10-10T01:17:48.9141902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-10-10T01:17:48.9142259Z     identity = self.downsample(x)
2025-10-10T01:17:48.9142385Z 
2025-10-10T01:17:48.9142492Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9142839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9143160Z     return mod(*inputs)
2025-10-10T01:17:48.9143499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9143864Z     return self._forward_impl(x)
2025-10-10T01:17:48.9144226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:17:48.9144610Z     x = self.layer3(x)
2025-10-10T01:17:48.9144941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:17:48.9145313Z     out = self.relu(out)
2025-10-10T01:17:48.9145423Z 
2025-10-10T01:17:48.9145536Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9145907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9146357Z     return mod(*inputs)
2025-10-10T01:17:48.9146713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9147117Z     return self._forward_impl(x)
2025-10-10T01:17:48.9147495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:17:48.9147885Z     x = self.layer3(x)
2025-10-10T01:17:48.9148223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:17:48.9148610Z     out = self.conv1(x)
2025-10-10T01:17:48.9148719Z 
2025-10-10T01:17:48.9148836Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9149228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9149571Z     return mod(*inputs)
2025-10-10T01:17:48.9149912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9150310Z     return self._forward_impl(x)
2025-10-10T01:17:48.9150714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:17:48.9151100Z     x = self.layer3(x)
2025-10-10T01:17:48.9151446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:17:48.9151812Z     out = self.relu(out)
2025-10-10T01:17:48.9151925Z 
2025-10-10T01:17:48.9152041Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9152429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9152775Z     return mod(*inputs)
2025-10-10T01:17:48.9153118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9153505Z     return self._forward_impl(x)
2025-10-10T01:17:48.9153877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:17:48.9154258Z     x = self.layer3(x)
2025-10-10T01:17:48.9154606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:17:48.9154973Z     out = self.conv2(out)
2025-10-10T01:17:48.9155090Z 
2025-10-10T01:17:48.9155207Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9155597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9155936Z     return mod(*inputs)
2025-10-10T01:17:48.9156273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9156660Z     return self._forward_impl(x)
2025-10-10T01:17:48.9157026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T01:17:48.9157417Z     x = self.layer3(x)
2025-10-10T01:17:48.9157754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:17:48.9158100Z     out = self.relu(out)
2025-10-10T01:17:48.9158209Z 
2025-10-10T01:17:48.9158330Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9158670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9158989Z     return mod(*inputs)
2025-10-10T01:17:48.9159301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9159639Z     return self._forward_impl(x)
2025-10-10T01:17:48.9159978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:17:48.9160328Z     x = self.layer4(x)
2025-10-10T01:17:48.9160633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:17:48.9160967Z     out = self.conv1(x)
2025-10-10T01:17:48.9161065Z 
2025-10-10T01:17:48.9161169Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9161521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9161839Z     return mod(*inputs)
2025-10-10T01:17:48.9162157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9162529Z     return self._forward_impl(x)
2025-10-10T01:17:48.9162880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:17:48.9163254Z     x = self.layer4(x)
2025-10-10T01:17:48.9163568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:17:48.9163909Z     out = self.relu(out)
2025-10-10T01:17:48.9164034Z 
2025-10-10T01:17:48.9164144Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9164491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9164847Z     return mod(*inputs)
2025-10-10T01:17:48.9165158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9165494Z     return self._forward_impl(x)
2025-10-10T01:17:48.9165832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:17:48.9166181Z     x = self.layer4(x)
2025-10-10T01:17:48.9166485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:17:48.9166817Z     out = self.conv2(out)
2025-10-10T01:17:48.9166922Z 
2025-10-10T01:17:48.9167026Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9167366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9167676Z     return mod(*inputs)
2025-10-10T01:17:48.9167990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9168327Z     return self._forward_impl(x)
2025-10-10T01:17:48.9168662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:17:48.9169009Z     x = self.layer4(x)
2025-10-10T01:17:48.9169325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-10-10T01:17:48.9169671Z     identity = self.downsample(x)
2025-10-10T01:17:48.9169792Z 
2025-10-10T01:17:48.9169897Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9170234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9170551Z     return mod(*inputs)
2025-10-10T01:17:48.9170862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9171200Z     return self._forward_impl(x)
2025-10-10T01:17:48.9171536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:17:48.9171881Z     x = self.layer4(x)
2025-10-10T01:17:48.9172190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-10-10T01:17:48.9172526Z     out = self.relu(out)
2025-10-10T01:17:48.9172628Z 
2025-10-10T01:17:48.9172732Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9173068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9173381Z     return mod(*inputs)
2025-10-10T01:17:48.9173690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9174029Z     return self._forward_impl(x)
2025-10-10T01:17:48.9174362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:17:48.9174708Z     x = self.layer4(x)
2025-10-10T01:17:48.9175012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-10-10T01:17:48.9175343Z     out = self.conv1(x)
2025-10-10T01:17:48.9175468Z 
2025-10-10T01:17:48.9175574Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9175909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9176222Z     return mod(*inputs)
2025-10-10T01:17:48.9176532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9176870Z     return self._forward_impl(x)
2025-10-10T01:17:48.9177238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:17:48.9177583Z     x = self.layer4(x)
2025-10-10T01:17:48.9178576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-10-10T01:17:48.9178925Z     out = self.relu(out)
2025-10-10T01:17:48.9179028Z 
2025-10-10T01:17:48.9179137Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9179479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9179790Z     return mod(*inputs)
2025-10-10T01:17:48.9180102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9180441Z     return self._forward_impl(x)
2025-10-10T01:17:48.9180777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T01:17:48.9181127Z     x = self.layer4(x)
2025-10-10T01:17:48.9181442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-10-10T01:17:48.9181786Z     out = self.conv2(out)
2025-10-10T01:17:48.9181893Z 
2025-10-10T01:17:48.9182006Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9182351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9182673Z     return mod(*inputs)
2025-10-10T01:17:48.9182994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9183361Z     return self._forward_impl(x)
2025-10-10T01:17:48.9183721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-10-10T01:17:48.9184105Z     x = self.avgpool(x)
2025-10-10T01:17:48.9184219Z 
2025-10-10T01:17:48.9184325Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:17:48.9184698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:17:48.9185033Z     return mod(*inputs)
2025-10-10T01:17:48.9185363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T01:17:48.9185729Z     return self._forward_impl(x)
2025-10-10T01:17:48.9186183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl
2025-10-10T01:17:48.9186584Z     x = self.fc(x)
2025-10-10T01:17:48.9186687Z 
2025-10-10T01:18:00.0885172Z Compilation time (from dynamo_timed): 14.756687316
2025-10-10T01:18:00.0885475Z pass
2025-10-10T01:18:00.0885812Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:00.0886803Z TIMING: _recursive_pre_grad_passes:0.00418 _recursive_joint_graph_passes:0.4171 _recursive_post_grad_passes:0.04735 async_compile.wait:0.82409 code_gen:11.31747 inductor_compile:12.11113 backend_compile:13.8679 gc:0.00163 entire_frame_compile:14.75669 total_wall_time:14.75669
2025-10-10T01:18:00.0887889Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:2509 | FakeTensor.__torch_dispatch__:2307 | ProxyTorchDispatchMode.__torch_dispatch__:724
2025-10-10T01:18:00.0888448Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-10-10T01:18:02.0707214Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:18:02.0709017Z   import pynvml  # type: ignore[import]
2025-10-10T01:18:04.2830692Z 
2025-10-10T01:18:04.4798578Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:18:04.4798882Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:18:04.4799484Z cpu  eval  functorch_maml_omniglot            
2025-10-10T01:18:04.4841338Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:04.4888186Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:04.4918748Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:07.1514832Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:07.1515358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:07.1515706Z     return mod(*inputs)
2025-10-10T01:18:07.1515819Z 
2025-10-10T01:18:07.1515910Z cudagraph partition due to non gpu ops
2025-10-10T01:18:07.1516136Z cudagraph partition due to non gpu ops
2025-10-10T01:18:07.1516382Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:07.1516747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:07.1517077Z     return mod(*inputs)
2025-10-10T01:18:07.1517191Z 
2025-10-10T01:18:07.1517295Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:07.1517671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:07.1518000Z     return mod(*inputs)
2025-10-10T01:18:07.1518103Z 
2025-10-10T01:18:07.1518213Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:07.1518570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:07.1518891Z     return mod(*inputs)
2025-10-10T01:18:07.1518993Z 
2025-10-10T01:18:07.1519105Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:07.1519461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:07.1519778Z     return mod(*inputs)
2025-10-10T01:18:07.1519884Z 
2025-10-10T01:18:07.1519987Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:07.1520341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:07.1520666Z     return mod(*inputs)
2025-10-10T01:18:07.1520764Z 
2025-10-10T01:18:07.1520873Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:07.1521221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:07.1521541Z     return mod(*inputs)
2025-10-10T01:18:07.1521651Z 
2025-10-10T01:18:07.1521751Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:07.1522104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:07.1522409Z     return mod(*inputs)
2025-10-10T01:18:07.1522513Z 
2025-10-10T01:18:07.1522614Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:07.1522961Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:07.1523279Z     return mod(*inputs)
2025-10-10T01:18:07.1523376Z 
2025-10-10T01:18:07.1523483Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:07.1523834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:07.1524154Z     return mod(*inputs)
2025-10-10T01:18:07.1524260Z 
2025-10-10T01:18:16.2303174Z Compilation time (from dynamo_timed): 10.765705543
2025-10-10T01:18:16.2303509Z pass
2025-10-10T01:18:16.2304202Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:16.2305158Z TIMING: _recursive_pre_grad_passes:0.00341 _recursive_joint_graph_passes:0.34024 _recursive_post_grad_passes:0.0183 async_compile.wait:0.81656 code_gen:9.07603 inductor_compile:9.22821 backend_compile:10.45583 gc:0.00024 entire_frame_compile:10.76571 total_wall_time:10.76571
2025-10-10T01:18:16.2306379Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:296 | FakeTensorMode.__torch_dispatch__:942 | ProxyTorchDispatchMode.__torch_dispatch__:155
2025-10-10T01:18:16.2307048Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-10-10T01:18:18.0165497Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T01:18:18.0166428Z   import pynvml  # type: ignore[import]
2025-10-10T01:18:20.2092251Z 
2025-10-10T01:18:20.3708248Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:18:20.3708564Z loading model: 0it [00:00, ?it/s]
2025-10-10T01:18:20.3708805Z cpu  eval  lennard_jones                      
2025-10-10T01:18:20.3719222Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:20.3737833Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:20.3752372Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:22.5883337Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:22.5884034Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:22.5884422Z     return mod(*inputs)
2025-10-10T01:18:22.5884543Z 
2025-10-10T01:18:22.5884659Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:22.5885072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:22.5885427Z     return mod(*inputs)
2025-10-10T01:18:22.5885540Z 
2025-10-10T01:18:22.5885660Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:22.5886050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:22.5886383Z     return mod(*inputs)
2025-10-10T01:18:22.5886566Z 
2025-10-10T01:18:22.5886714Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:22.5887109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:22.5887451Z     return mod(*inputs)
2025-10-10T01:18:22.5887560Z 
2025-10-10T01:18:22.5887666Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:22.5888047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:22.5888394Z     return mod(*inputs)
2025-10-10T01:18:22.5888499Z 
2025-10-10T01:18:22.5888611Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:22.5888991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:22.5889318Z     return mod(*inputs)
2025-10-10T01:18:22.5889431Z 
2025-10-10T01:18:22.5889537Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:22.5889921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:22.5890255Z     return mod(*inputs)
2025-10-10T01:18:22.5890360Z 
2025-10-10T01:18:22.5890467Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:22.5890854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:22.5891397Z     return mod(*inputs)
2025-10-10T01:18:22.5891506Z 
2025-10-10T01:18:22.5891624Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T01:18:22.5892369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T01:18:22.5892696Z     return mod(*inputs)
2025-10-10T01:18:22.5892813Z 
2025-10-10T01:18:30.7175975Z Compilation time (from dynamo_timed): 9.381505891
2025-10-10T01:18:30.7176274Z pass
2025-10-10T01:18:30.7176598Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T01:18:30.7177710Z TIMING: _recursive_pre_grad_passes:0.0033 _recursive_joint_graph_passes:0.13649 _recursive_post_grad_passes:0.21631 async_compile.wait:0.60857 code_gen:8.07009 inductor_compile:8.33492 backend_compile:9.20571 gc:0.00067 entire_frame_compile:9.38151 total_wall_time:9.38151
2025-10-10T01:18:30.7178788Z STATS: call_* op count: 9 | FakeTensor.__torch_dispatch__:102 | FakeTensorMode.__torch_dispatch__:608 | ProxyTorchDispatchMode.__torch_dispatch__:91
2025-10-10T01:18:30.7179313Z Dynamo produced 1 graphs covering 9 ops with 0 graph breaks (0 unique)
2025-10-10T01:18:32.1025608Z accuracy            pass_rate=95.00%
2025-10-10T01:18:32.1025966Z calls_captured      gmean=0.00x mean=131.250x
2025-10-10T01:18:32.1026441Z unique_graphs       gmean=0.00x mean=1.500x
2025-10-10T01:18:32.1033808Z graph_breaks        gmean=0.00x mean=0.850x
2025-10-10T01:18:32.1034160Z unique_graph_breaks gmean=0.00x mean=0.300x
2025-10-10T01:18:32.1040951Z autograd_captures   gmean=0.00x mean=0.000x
2025-10-10T01:18:32.1041313Z autograd_compiles   gmean=0.00x mean=0.000x
2025-10-10T01:18:32.1041556Z cudagraph_skips     gmean=0.00x mean=1.500x
2025-10-10T01:18:32.1041816Z compilation_latency mean=15.179 seconds
2025-10-10T01:18:32.7788310Z + 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
2025-10-10T01:18:33.0589688Z BERT_pytorch                        PASS
2025-10-10T01:18:33.0595306Z Background_Matting                  XFAIL
2025-10-10T01:18:33.0598265Z LearningToPaint                     PASS
2025-10-10T01:18:33.0603365Z Super_SloMo                         PASS
2025-10-10T01:18:33.0608363Z alexnet                             PASS
2025-10-10T01:18:33.0610677Z basic_gnn_edgecnn                   PASS
2025-10-10T01:18:33.0610978Z basic_gnn_gcn                       PASS
2025-10-10T01:18:33.0611199Z basic_gnn_gin                       PASS
2025-10-10T01:18:33.0611426Z basic_gnn_sage                      PASS
2025-10-10T01:18:33.0618163Z dcgan                               PASS
2025-10-10T01:18:33.0622505Z demucs                              PASS
2025-10-10T01:18:33.0622782Z densenet121                         PASS
2025-10-10T01:18:33.0627354Z dlrm                                PASS
2025-10-10T01:18:33.0633707Z doctr_det_predictor                 PASS
2025-10-10T01:18:33.0639335Z doctr_reco_predictor                PASS
2025-10-10T01:18:33.0641512Z drq                                 PASS
2025-10-10T01:18:33.0641909Z fastNLP_Bert                        PASS
2025-10-10T01:18:33.0645564Z functorch_dp_cifar10                PASS
2025-10-10T01:18:33.0651134Z functorch_maml_omniglot             PASS
2025-10-10T01:18:33.0656025Z lennard_jones                       PASS
2025-10-10T01:18:33.1180909Z + 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
2025-10-10T01:18:33.4279741Z BERT_pytorch                        PASS
2025-10-10T01:18:33.4280206Z Background_Matting                  PASS
2025-10-10T01:18:33.4280473Z LearningToPaint                     PASS
2025-10-10T01:18:33.4287269Z Super_SloMo                         PASS
2025-10-10T01:18:33.4288848Z alexnet                             PASS
2025-10-10T01:18:33.4289123Z basic_gnn_edgecnn                   PASS
2025-10-10T01:18:33.4294527Z basic_gnn_gcn                       PASS
2025-10-10T01:18:33.4300088Z basic_gnn_gin                       PASS
2025-10-10T01:18:33.4301107Z basic_gnn_sage                      PASS
2025-10-10T01:18:33.4306674Z dcgan                               PASS
2025-10-10T01:18:33.4306948Z demucs                              PASS
2025-10-10T01:18:33.4313264Z densenet121                         PASS
2025-10-10T01:18:33.4315876Z dlrm                                PASS
2025-10-10T01:18:33.4316316Z doctr_det_predictor                 PASS
2025-10-10T01:18:33.4325662Z doctr_reco_predictor                PASS
2025-10-10T01:18:33.4325927Z drq                                 PASS
2025-10-10T01:18:33.4327722Z fastNLP_Bert                        PASS
2025-10-10T01:18:33.4334731Z functorch_dp_cifar10                PASS
2025-10-10T01:18:33.4340161Z functorch_maml_omniglot             PASS
2025-10-10T01:18:33.4340502Z lennard_jones                       PASS
2025-10-10T01:18:33.4885255Z + sccache_epilogue
2025-10-10T01:18:33.4885607Z + echo '::group::Sccache Compilation Log'
2025-10-10T01:18:33.4886195Z ##[group]Sccache Compilation Log
2025-10-10T01:18:33.4886448Z + echo '=================== sccache compilation log ==================='
2025-10-10T01:18:33.4886755Z =================== sccache compilation log ===================
2025-10-10T01:18:33.4887181Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-10-10T01:18:33.5105792Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-10-10T01:18:33.5106488Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-10-10T01:18:33.5106825Z + sccache --show-stats
2025-10-10T01:18:33.5143337Z Compile requests                    341
2025-10-10T01:18:33.5143648Z Compile requests executed             0
2025-10-10T01:18:33.5143899Z Cache hits                            0
2025-10-10T01:18:33.5144107Z Cache misses                          0
2025-10-10T01:18:33.5144314Z Cache hits rate                       -
2025-10-10T01:18:33.5144534Z Cache timeouts                        0
2025-10-10T01:18:33.5144743Z Cache read errors                     0
2025-10-10T01:18:33.5144950Z Forced recaches                       0
2025-10-10T01:18:33.5145148Z Cache write errors                    0
2025-10-10T01:18:33.5145353Z Cache errors                          0
2025-10-10T01:18:33.5145559Z Compilations                          0
2025-10-10T01:18:33.5145770Z Compilation failures                  0
2025-10-10T01:18:33.5145988Z Non-cacheable compilations            0
2025-10-10T01:18:33.5146519Z Non-cacheable calls                  19
2025-10-10T01:18:33.5146746Z Non-compilation calls               322
2025-10-10T01:18:33.5146976Z Unsupported compiler calls            0
2025-10-10T01:18:33.5147211Z Average cache write               0.000 s
2025-10-10T01:18:33.5147455Z Average compiler                  0.000 s
2025-10-10T01:18:33.5147676Z Average cache read hit            0.000 s
2025-10-10T01:18:33.5147906Z Failed distributed compilations       0
2025-10-10T01:18:33.5148060Z 
2025-10-10T01:18:33.5148131Z Non-cacheable reasons:
2025-10-10T01:18:33.5148313Z -E                                   19
2025-10-10T01:18:33.5148450Z 
2025-10-10T01:18:33.5148610Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-10-10T01:18:33.5148905Z Version (client)                0.10.0
2025-10-10T01:18:33.5149111Z + sccache --stop-server
2025-10-10T01:18:33.5163997Z Stopping sccache server...
2025-10-10T01:18:33.5166526Z Compile requests                    341
2025-10-10T01:18:33.5166830Z Compile requests executed             0
2025-10-10T01:18:33.5167131Z Cache hits                            0
2025-10-10T01:18:33.5167425Z Cache misses                          0
2025-10-10T01:18:33.5167728Z Cache hits rate                       -
2025-10-10T01:18:33.5168027Z Cache timeouts                        0
2025-10-10T01:18:33.5168345Z Cache read errors                     0
2025-10-10T01:18:33.5168771Z Forced recaches                       0
2025-10-10T01:18:33.5169005Z Cache write errors                    0
2025-10-10T01:18:33.5169211Z Cache errors                          0
2025-10-10T01:18:33.5169420Z Compilations                          0
2025-10-10T01:18:33.5169636Z Compilation failures                  0
2025-10-10T01:18:33.5169852Z Non-cacheable compilations            0
2025-10-10T01:18:33.5170062Z Non-cacheable calls                  19
2025-10-10T01:18:33.5170274Z Non-compilation calls               322
2025-10-10T01:18:33.5170544Z Unsupported compiler calls            0
2025-10-10T01:18:33.5170765Z Average cache write               0.000 s
2025-10-10T01:18:33.5170976Z Average compiler                  0.000 s
2025-10-10T01:18:33.5171287Z Average cache read hit            0.000 s
2025-10-10T01:18:33.5171524Z Failed distributed compilations       0
2025-10-10T01:18:33.5171668Z 
2025-10-10T01:18:33.5171753Z Non-cacheable reasons:
2025-10-10T01:18:33.5171946Z -E                                   19
2025-10-10T01:18:33.5172088Z 
2025-10-10T01:18:33.5172251Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-10-10T01:18:33.5172553Z Version (client)                0.10.0
2025-10-10T01:18:33.5172818Z + echo ::endgroup::
2025-10-10T01:18:33.5173268Z ##[endgroup]
2025-10-10T01:18:33.5173444Z + cleanup_workspace
2025-10-10T01:18:33.5173780Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-10-10T01:18:33.5174286Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-10-10T01:18:33.5174704Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-10-10T01:18:33.5175020Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-10-10T01:18:33.5175392Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-10-10T01:18:33.5175775Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-10-10T01:18:33.5176101Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-10-10T01:18:33.9856237Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-10-10T01:18:33.9856592Z with:
2025-10-10T01:18:33.9856808Z   benchmark-results-dir: test/test-reports
2025-10-10T01:18:33.9857063Z   dry-run: false
2025-10-10T01:18:33.9857263Z   schema-version: v3
2025-10-10T01:18:33.9857671Z   github-token: ***
2025-10-10T01:18:33.9857858Z env:
2025-10-10T01:18:33.9858056Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:33.9858424Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:33.9858821Z ##[endgroup]
2025-10-10T01:18:33.9882720Z ##[group]Run set -eux
2025-10-10T01:18:33.9882943Z set -eux
2025-10-10T01:18:33.9883106Z 
2025-10-10T01:18:33.9883273Z if [[ -n "" ]]; then
2025-10-10T01:18:33.9883479Z   source ""
2025-10-10T01:18:33.9883658Z fi
2025-10-10T01:18:33.9883908Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-10-10T01:18:33.9884246Z 
2025-10-10T01:18:33.9884411Z DEVICE_NAME=""
2025-10-10T01:18:33.9884600Z DEVICE_TYPE=""
2025-10-10T01:18:33.9884782Z 
2025-10-10T01:18:33.9884962Z if command -v nvidia-smi; then
2025-10-10T01:18:33.9885276Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-10-10T01:18:33.9885651Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-10-10T01:18:33.9886016Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-10-10T01:18:33.9886316Z   python3 -mpip install torch==2.7.1
2025-10-10T01:18:33.9886561Z elif command -v rocminfo; then
2025-10-10T01:18:33.9886858Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-10-10T01:18:33.9887231Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-10-10T01:18:33.9887668Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-10-10T01:18:33.9887999Z   # GPU device name coming from rocminfo instead
2025-10-10T01:18:33.9888251Z   DEVICE_NAME=rocm
2025-10-10T01:18:33.9888574Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-10-10T01:18:33.9888904Z fi
2025-10-10T01:18:33.9889064Z 
2025-10-10T01:18:33.9889320Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-10-10T01:18:33.9889598Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-10-10T01:18:33.9898934Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:33.9899212Z env:
2025-10-10T01:18:33.9899395Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:33.9899730Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:33.9900069Z ##[endgroup]
2025-10-10T01:18:33.9929960Z + [[ -n '' ]]
2025-10-10T01:18:33.9930284Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-10-10T01:18:34.1831523Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T01:18:35.0154588Z Collecting boto3==1.35.33
2025-10-10T01:18:35.0354363Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-10-10T01:18:35.2736666Z Collecting psutil==7.0.0
2025-10-10T01:18:35.2796247Z   Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB)
2025-10-10T01:18:35.3127575Z Collecting pynvml==12.0.0
2025-10-10T01:18:35.3166230Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-10-10T01:18:36.1741620Z Collecting botocore<1.36.0,>=1.35.33
2025-10-10T01:18:36.1780265Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-10-10T01:18:36.3021566Z Collecting s3transfer<0.11.0,>=0.10.0
2025-10-10T01:18:36.3070456Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-10-10T01:18:36.3105694Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0)
2025-10-10T01:18:36.3450797Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-10-10T01:18:36.3487117Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-10-10T01:18:36.3570044Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10)
2025-10-10T01:18:36.3576003Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1)
2025-10-10T01:18:36.5039820Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0)
2025-10-10T01:18:36.6150960Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-10-10T01:18:36.9801316Z   Attempting uninstall: nvidia-ml-py
2025-10-10T01:18:36.9801758Z     Found existing installation: nvidia-ml-py 11.525.84
2025-10-10T01:18:36.9813643Z     Uninstalling nvidia-ml-py-11.525.84:
2025-10-10T01:18:36.9950269Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-10-10T01:18:37.0493527Z   Attempting uninstall: psutil
2025-10-10T01:18:37.0496635Z     Found existing installation: psutil 5.9.8
2025-10-10T01:18:37.0544417Z     Uninstalling psutil-5.9.8:
2025-10-10T01:18:37.0548065Z       Successfully uninstalled psutil-5.9.8
2025-10-10T01:18:37.1909998Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4
2025-10-10T01:18:37.3036300Z + DEVICE_NAME=
2025-10-10T01:18:37.3036568Z + DEVICE_TYPE=
2025-10-10T01:18:37.3036940Z + command -v nvidia-smi
2025-10-10T01:18:37.3037145Z + command -v rocminfo
2025-10-10T01:18:37.3037505Z + echo DEVICE_NAME=
2025-10-10T01:18:37.3037853Z + echo DEVICE_TYPE=
2025-10-10T01:18:37.3065321Z ##[group]Run set -eux
2025-10-10T01:18:37.3065619Z set -eux
2025-10-10T01:18:37.3065849Z 
2025-10-10T01:18:37.3066030Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-10-10T01:18:37.3066502Z   echo "Missing github-token input"
2025-10-10T01:18:37.3066744Z   exit 1
2025-10-10T01:18:37.3066911Z fi
2025-10-10T01:18:37.3072512Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:37.3072765Z env:
2025-10-10T01:18:37.3072936Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:37.3073309Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:37.3073626Z   DEVICE_NAME: 
2025-10-10T01:18:37.3073783Z   DEVICE_TYPE: 
2025-10-10T01:18:37.3074157Z   GITHUB_TOKEN: ***
2025-10-10T01:18:37.3074327Z ##[endgroup]
2025-10-10T01:18:37.3100981Z + [[ -z *** ]]
2025-10-10T01:18:37.3140789Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-10-10T01:18:37.3141133Z with:
2025-10-10T01:18:37.3141486Z   github-token: ***
2025-10-10T01:18:37.3141697Z env:
2025-10-10T01:18:37.3141900Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:37.3142281Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:37.3142683Z   DEVICE_NAME: 
2025-10-10T01:18:37.3142892Z   DEVICE_TYPE: 
2025-10-10T01:18:37.3143085Z ##[endgroup]
2025-10-10T01:18:37.3160427Z ##[group]Run set -eux
2025-10-10T01:18:37.3160632Z set -eux
2025-10-10T01:18:37.3160792Z 
2025-10-10T01:18:37.3161102Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-10-10T01:18:37.3165711Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:37.3165981Z env:
2025-10-10T01:18:37.3166146Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:37.3166461Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:37.3166782Z   DEVICE_NAME: 
2025-10-10T01:18:37.3166955Z   DEVICE_TYPE: 
2025-10-10T01:18:37.3167282Z   GITHUB_TOKEN: ***
2025-10-10T01:18:37.3167622Z ##[endgroup]
2025-10-10T01:18:37.3188955Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 18392306145 i-09ed82b116d31dad0
2025-10-10T01:18:38.1111995Z setting job-id=52406535385
2025-10-10T01:18:38.1112495Z setting job-name=inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T01:18:38.1213384Z ##[group]Run set -eux
2025-10-10T01:18:38.1213594Z set -eux
2025-10-10T01:18:38.1213752Z 
2025-10-10T01:18:38.1213912Z if [[ -n "" ]]; then
2025-10-10T01:18:38.1214100Z   source ""
2025-10-10T01:18:38.1214258Z fi
2025-10-10T01:18:38.1214404Z 
2025-10-10T01:18:38.1214660Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-10-10T01:18:38.1214984Z   --schema-version "${SCHEMA_VERSION}" \
2025-10-10T01:18:38.1215221Z   --repo "${REPO}" \
2025-10-10T01:18:38.1215509Z   --head-branch "${HEAD_BRANCH}" \
2025-10-10T01:18:38.1215736Z   --head-sha "${HEAD_SHA}" \
2025-10-10T01:18:38.1215969Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-10-10T01:18:38.1216207Z   --run-attempt "${RUN_ATTEMPT}" \
2025-10-10T01:18:38.1216435Z   --job-id "${JOB_ID}" \
2025-10-10T01:18:38.1216636Z   --job-name "${JOB_NAME}"
2025-10-10T01:18:38.1221414Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:38.1221667Z env:
2025-10-10T01:18:38.1221828Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:38.1222153Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:38.1222483Z   DEVICE_NAME: 
2025-10-10T01:18:38.1222652Z   DEVICE_TYPE: 
2025-10-10T01:18:38.1222816Z   SCHEMA_VERSION: v3
2025-10-10T01:18:38.1223001Z   REPO: pytorch/pytorch
2025-10-10T01:18:38.1223196Z   HEAD_BRANCH: refs/heads/main
2025-10-10T01:18:38.1223509Z   HEAD_SHA: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T01:18:38.1223740Z   WORKFLOW_RUN_ID: 18392306145
2025-10-10T01:18:38.1223933Z   RUN_ATTEMPT: 1
2025-10-10T01:18:38.1224102Z   JOB_ID: 52406535385
2025-10-10T01:18:38.1224391Z   JOB_NAME: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T01:18:38.1224694Z ##[endgroup]
2025-10-10T01:18:38.1254206Z + [[ -n '' ]]
2025-10-10T01:18:38.1255447Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 344e6365a0068c2d2847fcec0c55dd53291d475e --workflow-id 18392306145 --run-attempt 1 --job-id 52406535385 --job-name 'inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)'
2025-10-10T01:18:38.1527430Z ##[group]Run set -eux
2025-10-10T01:18:38.1527639Z set -eux
2025-10-10T01:18:38.1527805Z 
2025-10-10T01:18:38.1528005Z if [[ -n "" ]]; then
2025-10-10T01:18:38.1528196Z   source ""
2025-10-10T01:18:38.1528363Z fi
2025-10-10T01:18:38.1528507Z 
2025-10-10T01:18:38.1528758Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-10-10T01:18:38.1533315Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:38.1533558Z env:
2025-10-10T01:18:38.1533722Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:38.1534024Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:38.1534334Z   DEVICE_NAME: 
2025-10-10T01:18:38.1534491Z   DEVICE_TYPE: 
2025-10-10T01:18:38.1534654Z ##[endgroup]
2025-10-10T01:18:38.1555492Z + [[ -n '' ]]
2025-10-10T01:18:38.1556566Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-10-10T01:18:38.1896312Z INFO:root:Fail to import torch to get the device name
2025-10-10T01:18:38.1999638Z ##[group]Run set -eux
2025-10-10T01:18:38.1999866Z set -eux
2025-10-10T01:18:38.2000034Z 
2025-10-10T01:18:38.2000214Z # TODO (huydhn): Implement this part
2025-10-10T01:18:38.2000488Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-10-10T01:18:38.2005252Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:38.2005535Z env:
2025-10-10T01:18:38.2005696Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:38.2006015Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:38.2006349Z   DEVICE_NAME: 
2025-10-10T01:18:38.2006532Z   DEVICE_TYPE: 
2025-10-10T01:18:38.2006753Z ##[endgroup]
2025-10-10T01:18:38.2027238Z + echo 'dependencies={}'
2025-10-10T01:18:38.2058265Z ##[group]Run set -eux
2025-10-10T01:18:38.2058475Z set -eux
2025-10-10T01:18:38.2058633Z 
2025-10-10T01:18:38.2058796Z if [[ -n "" ]]; then
2025-10-10T01:18:38.2058997Z   source ""
2025-10-10T01:18:38.2059163Z fi
2025-10-10T01:18:38.2059308Z 
2025-10-10T01:18:38.2059485Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-10-10T01:18:38.2059768Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-10-10T01:18:38.2060075Z   # We don't want the job to fail if the directory doesn't exist
2025-10-10T01:18:38.2060327Z   exit 0
2025-10-10T01:18:38.2060473Z fi
2025-10-10T01:18:38.2060617Z 
2025-10-10T01:18:38.2060782Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-10-10T01:18:38.2061080Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-10-10T01:18:38.2061427Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-10-10T01:18:38.2061687Z     --metadata "${BENCHMARK_METADATA}" \
2025-10-10T01:18:38.2061924Z     --runners "${RUNNER_INFO}" \
2025-10-10T01:18:38.2062240Z     --dependencies "${DEPENDENCIES}" \
2025-10-10T01:18:38.2062464Z     --dry-run
2025-10-10T01:18:38.2062634Z else
2025-10-10T01:18:38.2062890Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-10-10T01:18:38.2063237Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-10-10T01:18:38.2063499Z     --metadata "${BENCHMARK_METADATA}" \
2025-10-10T01:18:38.2063778Z     --runners "${RUNNER_INFO}" \
2025-10-10T01:18:38.2064015Z     --dependencies "${DEPENDENCIES}"
2025-10-10T01:18:38.2064233Z fi
2025-10-10T01:18:38.2069064Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:38.2069319Z env:
2025-10-10T01:18:38.2069480Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:38.2069801Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:38.2070129Z   DEVICE_NAME: 
2025-10-10T01:18:38.2070304Z   DEVICE_TYPE: 
2025-10-10T01:18:38.2070489Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-10-10T01:18:38.2070709Z   DRY_RUN: false
2025-10-10T01:18:38.2071600Z   BENCHMARK_METADATA: {"timestamp": 1760059118, "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": "344e6365a0068c2d2847fcec0c55dd53291d475e", "workflow_id": 18392306145, "run_attempt": 1, "job_id": 52406535385}
2025-10-10T01:18:38.2072602Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-56-209.ec2.internal"}, "name": "", "type": ""}]
2025-10-10T01:18:38.2073010Z   DEPENDENCIES: {}
2025-10-10T01:18:38.2073186Z ##[endgroup]
2025-10-10T01:18:38.2095930Z + [[ -n '' ]]
2025-10-10T01:18:38.2096165Z + [[ ! -d test/test-reports ]]
2025-10-10T01:18:38.2096402Z + [[ false == \t\r\u\e ]]
2025-10-10T01:18:38.2098356Z + 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": 1760059118, "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": "344e6365a0068c2d2847fcec0c55dd53291d475e", "workflow_id": 18392306145, "run_attempt": 1, "job_id": 52406535385}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-56-209.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-10-10T01:18:38.3274293Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535385/inference_torchbench.json
2025-10-10T01:18:38.3536588Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-10-10T01:18:38.5815628Z ##[group]Run cat test/**/*_toprint.log || true
2025-10-10T01:18:38.5815932Z cat test/**/*_toprint.log || true
2025-10-10T01:18:38.5820589Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:38.5820841Z env:
2025-10-10T01:18:38.5821015Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:38.5821333Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:38.5821661Z   DEVICE_NAME: 
2025-10-10T01:18:38.5821845Z   DEVICE_TYPE: 
2025-10-10T01:18:38.5822014Z ##[endgroup]
2025-10-10T01:18:38.5898727Z cat: 'test/**/*_toprint.log': No such file or directory
2025-10-10T01:18:38.5931141Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-10-10T01:18:38.5931396Z kill "$MONITOR_SCRIPT_PID"
2025-10-10T01:18:38.5935657Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:38.5935900Z env:
2025-10-10T01:18:38.5936062Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:38.5936360Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:38.5936730Z   DEVICE_NAME: 
2025-10-10T01:18:38.5936892Z   DEVICE_TYPE: 
2025-10-10T01:18:38.5937056Z   MONITOR_SCRIPT_PID: 48487
2025-10-10T01:18:38.5937238Z ##[endgroup]
2025-10-10T01:18:38.6034579Z Prepare all required actions
2025-10-10T01:18:38.6035068Z Getting action download info
2025-10-10T01:18:38.8028978Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-10-10T01:18:39.0583967Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-10-10T01:18:39.5256297Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-10-10T01:18:39.5256543Z with:
2025-10-10T01:18:39.5256821Z   file-suffix: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385
2025-10-10T01:18:39.5257137Z   s3-bucket: gha-artifacts
2025-10-10T01:18:39.5257332Z env:
2025-10-10T01:18:39.5257490Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:39.5257830Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:39.5258170Z   DEVICE_NAME: 
2025-10-10T01:18:39.5258344Z   DEVICE_TYPE: 
2025-10-10T01:18:39.5258505Z ##[endgroup]
2025-10-10T01:18:39.5303796Z ##[group]Run # Remove any previous test jsons if they exist
2025-10-10T01:18:39.5304143Z # Remove any previous test jsons if they exist
2025-10-10T01:18:39.5304397Z rm -f test-jsons-*.zip
2025-10-10T01:18:39.5304705Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-10-10T01:18:39.5309954Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:39.5310220Z env:
2025-10-10T01:18:39.5310393Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:39.5310722Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:39.5311061Z   DEVICE_NAME: 
2025-10-10T01:18:39.5311237Z   DEVICE_TYPE: 
2025-10-10T01:18:39.5311503Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385
2025-10-10T01:18:39.5311812Z ##[endgroup]
2025-10-10T01:18:39.5445828Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-10-10T01:18:39.5473193Z ##[group]Run # Remove any previous test reports if they exist
2025-10-10T01:18:39.5473530Z # Remove any previous test reports if they exist
2025-10-10T01:18:39.5473795Z rm -f test-reports-*.zip
2025-10-10T01:18:39.5474121Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-10-10T01:18:39.5478759Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:39.5479005Z env:
2025-10-10T01:18:39.5479174Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:39.5479501Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:39.5479833Z   DEVICE_NAME: 
2025-10-10T01:18:39.5479998Z   DEVICE_TYPE: 
2025-10-10T01:18:39.5480269Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385
2025-10-10T01:18:39.5480572Z ##[endgroup]
2025-10-10T01:18:39.5531149Z   adding: test/test-reports/inference_torchbench.csv (deflated 55%)
2025-10-10T01:18:39.5533268Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 89%)
2025-10-10T01:18:39.5537327Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 73%)
2025-10-10T01:18:39.5564626Z ##[group]Run # Remove any previous usage logs if they exist
2025-10-10T01:18:39.5564971Z # Remove any previous usage logs if they exist
2025-10-10T01:18:39.5565231Z rm -f logs-*.zip
2025-10-10T01:18:39.5565483Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-10-10T01:18:39.5565819Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-10-10T01:18:39.5570433Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:39.5570685Z env:
2025-10-10T01:18:39.5570849Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:39.5571227Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:39.5571552Z   DEVICE_NAME: 
2025-10-10T01:18:39.5571723Z   DEVICE_TYPE: 
2025-10-10T01:18:39.5572101Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385
2025-10-10T01:18:39.5572398Z ##[endgroup]
2025-10-10T01:18:39.5637162Z   adding: usage_log.txt (deflated 97%)
2025-10-10T01:18:39.5649678Z 
2025-10-10T01:18:39.5650002Z zip error: Nothing to do! (logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385.zip)
2025-10-10T01:18:39.5681404Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-10-10T01:18:39.5681768Z # Remove any previous debugging artifacts if they exist
2025-10-10T01:18:39.5682045Z rm -f debug-*.zip
2025-10-10T01:18:39.5682256Z if [ -d 'test/debug' ]; then
2025-10-10T01:18:39.5682504Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-10-10T01:18:39.5682734Z fi
2025-10-10T01:18:39.5687147Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:39.5687394Z env:
2025-10-10T01:18:39.5687554Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:39.5687883Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:39.5688217Z   DEVICE_NAME: 
2025-10-10T01:18:39.5688387Z   DEVICE_TYPE: 
2025-10-10T01:18:39.5688647Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385
2025-10-10T01:18:39.5688953Z ##[endgroup]
2025-10-10T01:18:39.5763727Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T01:18:39.5763969Z with:
2025-10-10T01:18:39.5764136Z   s3-bucket: gha-artifacts
2025-10-10T01:18:39.5764358Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T01:18:39.5764586Z   retention-days: 14
2025-10-10T01:18:39.5764764Z   if-no-files-found: warn
2025-10-10T01:18:39.5764961Z   path: test-jsons-*.zip
2025-10-10T01:18:39.5765140Z   name: artifact
2025-10-10T01:18:39.5765310Z   region: us-east-1
2025-10-10T01:18:39.5765473Z env:
2025-10-10T01:18:39.5765644Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:39.5765962Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:39.5766350Z   DEVICE_NAME: 
2025-10-10T01:18:39.5766523Z   DEVICE_TYPE: 
2025-10-10T01:18:39.5766685Z ##[endgroup]
2025-10-10T01:18:39.8454088Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T01:18:39.8458266Z With the provided path, there will be 1 file uploaded
2025-10-10T01:18:39.8458646Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T01:18:39.8486410Z Starting upload of test-jsons-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385.zip
2025-10-10T01:18:39.9702962Z Finished upload of test-jsons-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385.zip
2025-10-10T01:18:39.9868654Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T01:18:39.9868896Z with:
2025-10-10T01:18:39.9869073Z   s3-bucket: gha-artifacts
2025-10-10T01:18:39.9869323Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T01:18:39.9869565Z   retention-days: 14
2025-10-10T01:18:39.9869740Z   if-no-files-found: error
2025-10-10T01:18:39.9869940Z   path: test-reports-*.zip
2025-10-10T01:18:39.9870144Z   name: artifact
2025-10-10T01:18:39.9870312Z   region: us-east-1
2025-10-10T01:18:39.9870468Z env:
2025-10-10T01:18:39.9870626Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:39.9870940Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:39.9871275Z   DEVICE_NAME: 
2025-10-10T01:18:39.9871434Z   DEVICE_TYPE: 
2025-10-10T01:18:39.9871595Z ##[endgroup]
2025-10-10T01:18:40.2627382Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T01:18:40.2627752Z With the provided path, there will be 1 file uploaded
2025-10-10T01:18:40.2628074Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T01:18:40.2660573Z Starting upload of test-reports-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385.zip
2025-10-10T01:18:40.3778001Z Finished upload of test-reports-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385.zip
2025-10-10T01:18:40.3937595Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T01:18:40.3938019Z with:
2025-10-10T01:18:40.3938204Z   s3-bucket: gha-artifacts
2025-10-10T01:18:40.3938433Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T01:18:40.3938677Z   retention-days: 14
2025-10-10T01:18:40.3938864Z   if-no-files-found: ignore
2025-10-10T01:18:40.3939117Z   path: logs-*.zip
2025-10-10T01:18:40.3939281Z   name: artifact
2025-10-10T01:18:40.3939449Z   region: us-east-1
2025-10-10T01:18:40.3939612Z env:
2025-10-10T01:18:40.3939768Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:40.3940075Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:40.3940401Z   DEVICE_NAME: 
2025-10-10T01:18:40.3940567Z   DEVICE_TYPE: 
2025-10-10T01:18:40.3940734Z ##[endgroup]
2025-10-10T01:18:40.6600251Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T01:18:40.6603811Z With the provided path, there will be 1 file uploaded
2025-10-10T01:18:40.6604140Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T01:18:40.6631710Z Starting upload of logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385.zip
2025-10-10T01:18:40.7732878Z Finished upload of logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385.zip
2025-10-10T01:18:40.7886023Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T01:18:40.7886267Z with:
2025-10-10T01:18:40.7886450Z   s3-bucket: gha-artifacts
2025-10-10T01:18:40.7886688Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T01:18:40.7886936Z   retention-days: 14
2025-10-10T01:18:40.7887119Z   if-no-files-found: ignore
2025-10-10T01:18:40.7887324Z   path: debug-*.zip
2025-10-10T01:18:40.7887497Z   name: artifact
2025-10-10T01:18:40.7887670Z   region: us-east-1
2025-10-10T01:18:40.7887834Z env:
2025-10-10T01:18:40.7888010Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:40.7888338Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:40.7888678Z   DEVICE_NAME: 
2025-10-10T01:18:40.7888849Z   DEVICE_TYPE: 
2025-10-10T01:18:40.7889031Z ##[endgroup]
2025-10-10T01:18:41.0482337Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-10-10T01:18:41.0650338Z ##[group]Run # shellcheck disable=SC2156
2025-10-10T01:18:41.0650637Z # shellcheck disable=SC2156
2025-10-10T01:18:41.0651031Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-10-10T01:18:41.0655903Z shell: /usr/bin/bash -e {0}
2025-10-10T01:18:41.0656105Z env:
2025-10-10T01:18:41.0656276Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:41.0656588Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:41.0656922Z   DEVICE_NAME: 
2025-10-10T01:18:41.0657100Z   DEVICE_TYPE: 
2025-10-10T01:18:41.0657271Z ##[endgroup]
2025-10-10T01:18:41.2537377Z Prepare all required actions
2025-10-10T01:18:41.2537740Z Getting action download info
2025-10-10T01:18:41.4521201Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-10-10T01:18:41.4521466Z with:
2025-10-10T01:18:41.4521631Z   job_id: 52406535385
2025-10-10T01:18:41.4521920Z   job_name: inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T01:18:41.4522250Z   workflow_name: inductor
2025-10-10T01:18:41.4522442Z   workflow_run_id: 18392306145
2025-10-10T01:18:41.4522638Z   workflow_attempt: 1
2025-10-10T01:18:41.4522812Z env:
2025-10-10T01:18:41.4522983Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:41.4523337Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:41.4523704Z   DEVICE_NAME: 
2025-10-10T01:18:41.4523894Z   DEVICE_TYPE: 
2025-10-10T01:18:41.4524076Z ##[endgroup]
2025-10-10T01:18:41.4544507Z ##[group]Run echo "workflow_id: 18392306145"
2025-10-10T01:18:41.4544894Z echo "workflow_id: 18392306145"
2025-10-10T01:18:41.4545137Z echo "workflow_attempt: 1"
2025-10-10T01:18:41.4545372Z echo "workflow_Name: inductor"
2025-10-10T01:18:41.4545609Z echo "job_id: 52406535385"
2025-10-10T01:18:41.4545977Z echo "job_name:  inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)"
2025-10-10T01:18:41.4546565Z echo "artifact_prefix: "
2025-10-10T01:18:41.4546878Z python3 --version
2025-10-10T01:18:41.4551829Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:41.4552104Z env:
2025-10-10T01:18:41.4552271Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:41.4552585Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:41.4552935Z   DEVICE_NAME: 
2025-10-10T01:18:41.4553109Z   DEVICE_TYPE: 
2025-10-10T01:18:41.4553277Z ##[endgroup]
2025-10-10T01:18:41.4577533Z workflow_id: 18392306145
2025-10-10T01:18:41.4577874Z workflow_attempt: 1
2025-10-10T01:18:41.4578069Z workflow_Name: inductor
2025-10-10T01:18:41.4578242Z job_id: 52406535385
2025-10-10T01:18:41.4578566Z job_name:  inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-10-10T01:18:41.4578890Z artifact_prefix: 
2025-10-10T01:18:41.4588605Z Python 3.9.23
2025-10-10T01:18:41.4623351Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T01:18:41.4623580Z with:
2025-10-10T01:18:41.4623750Z   shell: bash
2025-10-10T01:18:41.4623925Z   timeout_minutes: 5
2025-10-10T01:18:41.4624102Z   max_attempts: 5
2025-10-10T01:18:41.4624281Z   retry_wait_seconds: 30
2025-10-10T01:18:41.4624651Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-10-10T01:18:41.4625043Z   polling_interval_seconds: 1
2025-10-10T01:18:41.4625246Z   warning_on_retry: true
2025-10-10T01:18:41.4625436Z   continue_on_error: false
2025-10-10T01:18:41.4625614Z env:
2025-10-10T01:18:41.4625776Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:41.4626385Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:41.4626740Z   DEVICE_NAME: 
2025-10-10T01:18:41.4626911Z   DEVICE_TYPE: 
2025-10-10T01:18:41.4627073Z ##[endgroup]
2025-10-10T01:18:41.7352066Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T01:18:41.8014918Z Collecting python-dateutil==2.8.2
2025-10-10T01:18:41.8207339Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-10-10T01:18:42.5483233Z Collecting boto3==1.35.42
2025-10-10T01:18:42.5529677Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-10-10T01:18:42.9573102Z Collecting pandas==2.1.3
2025-10-10T01:18:42.9621237Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-10-10T01:18:43.1426307Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-10-10T01:18:43.1437653Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-10-10T01:18:43.1473865Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99)
2025-10-10T01:18:43.1477015Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0)
2025-10-10T01:18:43.1481266Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4)
2025-10-10T01:18:43.2186107Z Collecting tzdata>=2022.1
2025-10-10T01:18:43.2227786Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-10-10T01:18:43.2316082Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-10-10T01:18:43.8602998Z Collecting numpy<2,>=1.22.4
2025-10-10T01:18:43.8642322Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-10-10T01:18:43.9873065Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-10-10T01:18:43.9876808Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-10-10T01:18:43.9921485Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10)
2025-10-10T01:18:44.0014361Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0)
2025-10-10T01:18:44.0094874Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-10-10T01:18:44.0097960Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0)
2025-10-10T01:18:44.1690355Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-10-10T01:18:48.2566239Z   Attempting uninstall: boto3
2025-10-10T01:18:48.2566787Z     Found existing installation: boto3 1.35.33
2025-10-10T01:18:48.2638883Z     Uninstalling boto3-1.35.33:
2025-10-10T01:18:48.2649000Z       Successfully uninstalled boto3-1.35.33
2025-10-10T01:18:48.3100766Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-10-10T01:18:48.5322072Z Command completed after 1 attempt(s).
2025-10-10T01:18:48.5384613Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-10-10T01:18:48.5385054Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-10-10T01:18:48.5385375Z   --workflow-run-id "18392306145" \
2025-10-10T01:18:48.5385643Z   --workflow-name "inductor" \
2025-10-10T01:18:48.5385882Z   --workflow-run-attempt "1" \
2025-10-10T01:18:48.5386305Z   --job-id "52406535385" \
2025-10-10T01:18:48.5386669Z   --job-name "inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" \
2025-10-10T01:18:48.5387038Z   --local-path "" \
2025-10-10T01:18:48.5387251Z   --artifact-prefix ""
2025-10-10T01:18:48.5392611Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:48.5392858Z env:
2025-10-10T01:18:48.5393035Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:48.5393354Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:48.5393686Z   DEVICE_NAME: 
2025-10-10T01:18:48.5393848Z   DEVICE_TYPE: 
2025-10-10T01:18:48.5394019Z ##[endgroup]
2025-10-10T01:18:49.5032403Z repo: pytorch/pytorch
2025-10-10T01:18:49.5032787Z Search for test log in s3 bucket: ossci-utilization
2025-10-10T01:18:49.5033668Z Downloading logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385.zip
2025-10-10T01:18:49.5034198Z extracting usage_log.txt from zip file logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_52406535385.zip
2025-10-10T01:18:49.5034609Z Converted Log Model: UtilizationMetadata:
2025-10-10T01:18:49.5035461Z  UtilizationMetadata(level='metadata', workflow_id='18392306145', job_id='52406535385', 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=1760057137, gpu_count=0, cpu_count=32, gpu_type=None, error=None)
2025-10-10T01:18:49.5036335Z [Db Segments] detected pytest cmd: 10, generated segments: 10
2025-10-10T01:18:49.5036619Z [db model] Peek db timeseries 
2025-10-10T01:18:49.5036820Z :{
2025-10-10T01:18:49.5036977Z     "created_at": 1760059129,
2025-10-10T01:18:49.5037172Z     "type": "utilization",
2025-10-10T01:18:49.5037442Z     "tags": [
2025-10-10T01:18:49.5037607Z         "record"
2025-10-10T01:18:49.5037769Z     ],
2025-10-10T01:18:49.5037923Z     "time_stamp": 1760057137,
2025-10-10T01:18:49.5038125Z     "repo": "pytorch/pytorch",
2025-10-10T01:18:49.5038327Z     "workflow_id": 18392306145,
2025-10-10T01:18:49.5038531Z     "run_attempt": 1,
2025-10-10T01:18:49.5038703Z     "job_id": 52406535385,
2025-10-10T01:18:49.5038895Z     "workflow_name": "inductor",
2025-10-10T01:18:49.5039262Z     "job_name": "inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)",
2025-10-10T01:18:49.5039581Z     "json_data": "{}"
2025-10-10T01:18:49.5039742Z }
2025-10-10T01:18:49.5040076Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/18392306145/1/52406535385/metadata
2025-10-10T01:18:49.5040648Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/18392306145/1/52406535385/metadata 
2025-10-10T01:18:49.5041244Z Writing 393 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/18392306145/1/52406535385/time_series
2025-10-10T01:18:49.5041842Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/18392306145/1/52406535385/time_series 
2025-10-10T01:18:49.6068794Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-10-10T01:18:49.6069139Z with:
2025-10-10T01:18:49.6069326Z env:
2025-10-10T01:18:49.6069505Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:49.6069903Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:49.6070294Z   DEVICE_NAME: 
2025-10-10T01:18:49.6070484Z   DEVICE_TYPE: 
2025-10-10T01:18:49.6070659Z ##[endgroup]
2025-10-10T01:18:49.6087775Z ##[group]Run set -eou pipefail
2025-10-10T01:18:49.6088199Z set -eou pipefail
2025-10-10T01:18:49.6088428Z 
2025-10-10T01:18:49.6088725Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-10-10T01:18:49.6089094Z for _ in $(seq 1440); do
2025-10-10T01:18:49.6089390Z     # Break if no ssh session exists anymore
2025-10-10T01:18:49.6089672Z     if [ "$(who)" = "" ]; then
2025-10-10T01:18:49.6089913Z       break
2025-10-10T01:18:49.6090143Z     fi
2025-10-10T01:18:49.6090335Z     echo "."
2025-10-10T01:18:49.6090531Z     sleep 5
2025-10-10T01:18:49.6090729Z done
2025-10-10T01:18:49.6096226Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:49.6096501Z env:
2025-10-10T01:18:49.6096667Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:49.6097004Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:49.6097382Z   DEVICE_NAME: 
2025-10-10T01:18:49.6097557Z   DEVICE_TYPE: 
2025-10-10T01:18:49.6097720Z ##[endgroup]
2025-10-10T01:18:49.6121981Z Holding runner for 2 hours until all ssh sessions have logged out
2025-10-10T01:18:49.6193678Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T01:18:49.6194066Z # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T01:18:49.6194353Z # shellcheck disable=SC2046
2025-10-10T01:18:49.6194601Z docker stop $(docker ps -q) || true
2025-10-10T01:18:49.6194839Z # Prune all of the docker images
2025-10-10T01:18:49.6195067Z docker system prune -af
2025-10-10T01:18:49.6199208Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:18:49.6199453Z env:
2025-10-10T01:18:49.6199603Z   GIT_DEFAULT_BRANCH: main
2025-10-10T01:18:49.6199902Z   DOCKER_CONTAINER_ID: 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:18:49.6200217Z   DEVICE_NAME: 
2025-10-10T01:18:49.6200379Z   DEVICE_TYPE: 
2025-10-10T01:18:49.6200529Z ##[endgroup]
2025-10-10T01:19:00.5962451Z 88106be65ce0
2025-10-10T01:19:00.9974232Z Deleted Containers:
2025-10-10T01:19:00.9974643Z 88106be65ce0d8e4bc1b6aa81d13c81bddb6947dc2a8539cd84109fd90bedac6
2025-10-10T01:19:00.9975204Z 
2025-10-10T01:19:08.4556779Z Deleted Images:
2025-10-10T01:19:08.4561453Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T01:19:08.4562341Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:2e6e7297c9105722429dc16c6731f2c79bd9d6b81eb7a39feebebd90cfe1676f
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2025-10-10T01:19:08.5651631Z [command]/usr/bin/git version
2025-10-10T01:19:08.5688736Z git version 2.50.1
2025-10-10T01:19:08.5720780Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/e090b138-772d-4f33-ab03-e6628af083a5/.gitconfig'
2025-10-10T01:19:08.5742800Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/e090b138-772d-4f33-ab03-e6628af083a5' before making global git config changes
2025-10-10T01:19:08.5743447Z Adding repository directory to the temporary git global config as a safe directory
2025-10-10T01:19:08.5750324Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T01:19:08.5786563Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
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2025-10-10T01:19:09.5359078Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T01:19:09.5391475Z http.https://github.com/.extraheader
2025-10-10T01:19:09.5432421Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T01:19:09.5467734Z http.https://github.com/.extraheader
2025-10-10T01:19:09.5510603Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T01:19:09.5540261Z http.https://github.com/.extraheader
2025-10-10T01:19:09.5575694Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T01:19:09.5611650Z http.https://github.com/.extraheader
2025-10-10T01:19:09.5654764Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T01:19:09.5686783Z http.https://github.com/.extraheader
2025-10-10T01:19:09.5725475Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T01:19:09.5758048Z http.https://github.com/.extraheader
2025-10-10T01:19:09.5795150Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T01:19:09.5829008Z http.https://github.com/.extraheader
2025-10-10T01:19:09.5866798Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T01:19:09.5901592Z http.https://github.com/.extraheader
2025-10-10T01:19:09.5936826Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T01:19:09.5972412Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6013769Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T01:19:09.6049546Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6091104Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T01:19:09.6124143Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6180211Z Entering 'third_party/pocketfft'
2025-10-10T01:19:09.6214698Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6252872Z Entering 'third_party/protobuf'
2025-10-10T01:19:09.6288222Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6322809Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T01:19:09.6358720Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6395053Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T01:19:09.6428549Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6465186Z Entering 'third_party/psimd'
2025-10-10T01:19:09.6502369Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6539897Z Entering 'third_party/pthreadpool'
2025-10-10T01:19:09.6576655Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6613603Z Entering 'third_party/pybind11'
2025-10-10T01:19:09.6649282Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6687906Z Entering 'third_party/python-peachpy'
2025-10-10T01:19:09.6730580Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6761851Z Entering 'third_party/sleef'
2025-10-10T01:19:09.6796410Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6833263Z Entering 'third_party/tensorpipe'
2025-10-10T01:19:09.6871124Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6903385Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T01:19:09.6937356Z http.https://github.com/.extraheader
2025-10-10T01:19:09.6977659Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T01:19:09.7018860Z http.https://github.com/.extraheader
2025-10-10T01:19:09.7054993Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T01:19:09.7085787Z http.https://github.com/.extraheader
2025-10-10T01:19:09.7125960Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T01:19:09.7157704Z http.https://github.com/.extraheader
2025-10-10T01:19:09.7199157Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T01:19:09.7233392Z http.https://github.com/.extraheader
2025-10-10T01:19:09.7380068Z A job completed hook has been configured by the self-hosted runner administrator
2025-10-10T01:19:09.7407258Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-10-10T01:19:09.7410767Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T01:19:09.7411116Z ##[endgroup]
2025-10-10T01:19:09.7492474Z [!ALERT!] Swap in detected! [!ALERT!]
2025-10-10T01:19:18.8887023Z [!ALERT!] Swap out detected [!ALERT!]
2025-10-10T01:19:34.3237114Z Cleaning up orphan processes